Towards Personalized Cancer Therapy
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1085 Towards Personalized Cancer Therapy New Diagnostic Biomarkers and Radiosensitization Strategies DIANA SPIEGELBERG ACTA UNIVERSITATIS UPSALIENSIS UPPSALA 2015 ISSN 1651-6206 ISBN 978-91-554-9207-6 urn:nbn:se:uu:diva-247539 Dissertation presented at Uppsala University to be publicly examined in Fåhraeussalen, Rudbecklaboratoriet, Dag Hammarskjölds väg 20, 751 85 Uppsala, Wednesday, 13 May 2015 at 09:15 for the degree of Doctor of Philosophy (Faculty of Medicine). The examination will be conducted in English. Faculty examiner: Associate Professor Theodosia MainaNock (Molecular Radiopharmacy, INRASTES, National Centre for Scientific Research “Demokritos”, Aghia Paraskevi Attikis, 15310 Athens). Abstract Spiegelberg, D. 2015. Towards Personalized Cancer Therapy. New Diagnostic Biomarkers and Radiosensitization Strategies. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1085. 62 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9207-6. This thesis focuses on the evaluation of biomarkers for radio-immunodiagnostics and radioimmunotherapy and on radiosensitization strategies after HSP90 inhibition, as a step towards more personalized cancer medicine. There is a need to develop new tracers that target cancerspecific biomarkers to improve diagnostic imaging, as well as to combine treatment strategies to potentiate synergistic effects. Special focus has been on the cell surface molecule CD44 and its oncogenic variants, which were found to exhibit unique expression patterns in head and neck squamous cell carcinoma (HNSCC). The variant CD44v6 seems to be a promising target, because it is overexpressed in this cancer type and is associated with radioresistance. Two new radioconjugates that target CD44v6, namely, the Fab fragment AbD15179 and the bivalent fragment AbD19384, were investigated with regard to specificity, biodistribution and imaging performance. Both conjugates were able to efficiently target CD44v6-positive tumors in vitro and in vivo. PET imaging of CD44v6 with 124I-AbD19384 revealed many advantages compared with the clinical standard 18F-FDG. Furthermore, the efficacy of the novel HSP90 inhibitor AT13387 and its potential use in combination with radiation treatment were evaluated. AT13387 proved to be a potent new cancer drug with favorable pharmacokinetics. Synergistic combination effects at clinically relevant drug and radiation doses are promising for both radiation dose reduction and minimization of side effects, or for an improved therapeutic response. The AT13387 investigation indicated that CD44v6 is not dependent on the molecular chaperone HSP90, and therefore, radio-immunotargeting of CD44v6 in combination with the HSP90 inhibitor AT13387 might potentiate treatment outcomes. However, EGFR expression levels did correlate with HSP90 inhibition, and therefore, molecular imaging of EGFR-positive tumors may be used to assess the treatment response to HSP90 inhibitors. In conclusion, these results demonstrate how tumor targeting with radiolabeled vectors and chemotherapeutic compounds can provide more specific and sensitive diagnostic tools and treatment options, which can lead to customized treatment decisions and a functional diagnosis that provides more precise and safer drug prescribing, as well as a more effective treatment for each patient. Keywords: tumor targeting, radionuclide targeting, HSP90 inhibition, AT13387, radiosensitization, molecular imaging, combination treatment, EGFR, CD44v6 Diana Spiegelberg, Department of Immunology, Genetics and Pathology, Medical Radiation Science, Rudbecklaboratoriet, Uppsala University, SE-751 85 Uppsala, Sweden. © Diana Spiegelberg 2015 ISSN 1651-6206 ISBN 978-91-554-9207-6 urn:nbn:se:uu:diva-247539 (http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-247539) I don’t want to believe. I want to know. Carl Sagan All of the figures in the introduction have been designed and drawn by D. Spiegelberg and C. Malmberg. List of Papers This thesis is based on the following papers, which are referred to in the text by their Roman numerals. I Spiegelberg, D., Kuku, G., Selvaraju, R., Nestor M. (2014) Characterization of CD44 variant expression in head and neck squamous cell carcinomas. Tumor Biology, 35(3):2053-62. II Haylock, A-K., Spiegelberg, D., Nilvebrant, J., Sandström K., Nestor, M. (2014) In vivo characterization of the novel CD44v6targeting Fab fragment AbD15179 for molecular imaging of squamous cell carcinoma: a dual-isotope study. EJNMMI Research, 6;4(1):11. III Spiegelberg, D*., Haylock, A-K*., Mortensen, A., Selvaraju, R., Nilvebrant, J., Eriksson, O., Tolmachev, V., Nestor, M. Molecular imaging of CD44v6-expressing squamous cell carcinoma using a novel engineered bivalent antibody fragment. Submitted manuscript. IV Spiegelberg, D., Dascalu, A., Mortensen, A., Abramenkovs, A., Kuku, G., Nestor, M., Stenerlöw, B. The novel HSP90 inhibitor AT13387 potentiates radiation effects in squamous cell carcinoma and adenocarcinoma cells. Submitted manuscript. V Spiegelberg, D., Mortensen, A., Selvaraju, R., Eriksson, O., Nestor, M. Evaluation of biomarkers for imaging and radio-immunotherapy in combination with HSP90 inhibition in squamous cell carcinomas. Manuscript. * Contributed equally Reprints were made with permission from the copyright holders. List of Papers not Included in this Thesis Barta, P., Volkova, M., Dascalu, A., Spiegelberg, D., Trejtnar, F., Andersson, K. (2014) Determination of receptor protein binding site specificity and relative binding strength using a time-resolved competition assay. J Pharmacol Toxicol Methods, 70(2):145-51. Sahlberg, SH., Spiegelberg, D., Glimelius, B., Stenerlöw. B., Nestor, M. (2014) Evaluation of cancer stem cell markers CD133, CD44, CD24: association with AKT isoforms and radiation resistance in colon cancer cells. PLoS One, 9(4):e94621. Stenberg, J., Spiegelberg, D., Karlsson, H., Nestor, M. (2014) Choice of labeling and cell line influences interactions between the Fab fragment AbD15179 and its target antigen CD44v6. Nucl Med Biol, 41(2):140-7. Sandström, K., Haylock, A-K., Spiegelberg, D., Qvarnström, F., Wester, K., Nestor, M. (2012) A novel CD44v6 targeting antibody fragment with improved tumor-to-blood ratio. Int J Oncol, 40(5):1525-32. Spiegelberg, D*., Sahlberg, SH*., Lennartsson, J., Nygren, P., Glimelius, B., Stenerlöw, B. (2012) The effect of a dimeric Affibody molecule (ZEGFR:1907)2 targeting EGFR in combination with radiation in colon cancer cell lines. Int J Oncol, 40(1):176-84. Sandström, K., Haylock, A-K., Velikyan, I., Spiegelberg, D., Kareem, H., Tolmachev, V., Lundqvist, H., Nestor, M. (2011) Improved tumorto-organ ratios of a novel 67Ga-human epidermal growth factor radionuclide conjugate with preadministered antiepidermal growth factor receptor affibody molecules. Cancer Biother Radiopharm, 26(5):593-601. * Contributed equally Contents Introduction................................................................................................... 11 Cancer ...................................................................................................... 11 Detection ............................................................................................. 14 Treatment............................................................................................. 14 Personalized medicine.............................................................................. 15 Tumor targeting........................................................................................ 16 Radio-immunodiagnostics ................................................................... 17 Radio-immunotherapy ......................................................................... 19 Theranostics......................................................................................... 19 Targets and targeting agents .................................................................... 20 Targets of the present study ................................................................. 20 Development of radiolabeled targeting agents .................................... 24 Targeting agents .................................................................................. 24 CD44v6 and EGFR targeting agents ................................................... 26 HSP90 inhibitors ................................................................................. 28 HSP90 inhibition in combination with other treatments .......................... 28 Aim ............................................................................................................... 30 Results........................................................................................................... 31 Paper I New targets for imaging and radio-immunotherapy: CD44 variants ....... 31 Aim and background ........................................................................... 31 Methods ............................................................................................... 32 Results ................................................................................................. 32 Conclusion and discussion .................................................................. 33 Paper II and III CD44v6-targeting fragments for radio-immunodiagnostics .................... 34 Aim and background ........................................................................... 34 Methods ............................................................................................... 34 Results ................................................................................................. 34 Conclusion and discussion .................................................................. 37 Paper IV The HSP90 inhibitor AT13387 potentiates the effects of radiation......... 39 Aim and background ........................................................................... 39 Methods ............................................................................................... 39 Results ................................................................................................. 42 Conclusion and discussion .................................................................. 42 Paper V Molecular imaging in combination with HSP90 inhibition ..................... 44 Aim and background ........................................................................... 44 Methods ............................................................................................... 44 Results ................................................................................................. 45 Conclusion and discussion .................................................................. 46 Concluding remarks ...................................................................................... 49 Future studies ................................................................................................ 51 Acknowledgements....................................................................................... 53 References..................................................................................................... 56 Abbreviations 17-AAG 17-DMAG ALK AKT AT13387 ATM bFGF BIWA CAT CD CD44s CDv cmAb CPS CSC CT Da DARPins DNA DNA-PKcs DSB EGF EGFR ErbB ERK Fab FACS FAK FAR FBS FDA FDG 17-Allyl-17-Demethoxygeldanamycin 17-(Dimethylaminoethylamino)-17demethoxygeldanamycin Anaplastic lymphoma kinase V-akt murine thymoma viral oncogene homolog 2,4-dihydroxy-5-isopropyl-phenyl-[5-(4-methylpiperazin-1-ylmethyl)-1,3-dihydro-isoindol-2-yl] thanone, l-lactic acid salt Ataxia telangiectasia mutated Bovine fibroblast growth factor Bivatuzumab Chloramine T Cluster of differentiation Standard CD44 CD exon variant Chimeric monoclonal antibody Counts per second Cancer stem cell Computed tomography Dalton Designed ankyrin repeat proteins Deoxyribonucleic acid DNA-dependent protein kinase catalytic subunit Double-strand break Epidermal growth factor Epidermal growth factor receptor Erythroblastic leukemia viral oncogene homolog Extracellular signal regulated kinase Antigen binding fragment Fluorescent-activated cell sorting Focal adhesion kinase Fraction of activity released Fetal bovine serum United States Food and Drug Administration Fluorodeoxyglucose GIST Gy HER2, 3, 4 HOP HSP HNSCC HPV LET mAb MET MIP mM MRI MTT Na(TI) nM NRG1, 2, 3, 4 IC50 %ID/g IgG IHC iodogen i.v. p53 PET PFGE p.i. PTK RECIST scFvs SD SEM SPECT SPR TGFα TKI VEGFR µM Gastrointestinal stromal tumors Gray Human EGFR 2, 3, 4 HSP-organizing protein Heat shock protein Head and neck squamous cell carcinoma Human papilloma virus Linear energy transfer Monoclonal antibody Hepatocyte growth factor receptor Maximum intensity projection Millimolar Magnetic resonance imaging (4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide Sodium iodide (activated with thallium) Nanomolar neuregulins 1, 2, 3, 4 Median inhibitory concentration Percentage of the injected dose measured per gram of tissue or organ Immunoglobulin, class G Immunohistochemistry 1,3,4,6-Tetrachloro-3α,6α-diphenylglycouril Intravenous injection Tumor protein 53 Positron emission tomography Pulsed-field gel electrophoresis Post injection Protein tyrosine kinase Response evaluation criteria in solid tumors Single-chain antibody variable fragments Standard deviation Standard error of the mean Single-photon emission tomography Surface plasmon resonance Transforming growth factor alpha Tyrosine kinase inhibitor Vascular endothelial growth factor receptor Micromolar Introduction Cancer Statistically, more than 1 in 9 of everyone reading this text will die due to cancer, and virtually everyone will come into close contact with the disease in their lifetime through family and friends [1]. It is not surprising that fighting cancer, or finding “the cure for cancer”, is considered by many as the holy grail of biomedical research - the very epitome of our struggles as medical scientists. However, cancer is not a single disease. Rather, the term cancer summarizes a very broad class of diseases defined by a common mechanism: loss of control of the own cells of the affected organism, which involves uncontrolled cell proliferation, invasion into normal unaffected tissues and the capability for the development of metastases in other parts of the body. Over 100 different types of cancer exist, with an overwhelmingly diverse flora of subtypes and molecular mechanisms. It is clear that the probability of a single, universal cancer cure is exceedingly small. Cancer has been with us since the dawn of multicellular organisms, and throughout human history. Relatively recently, cancer has emerged as a leading cause of death in the developed world, following the near elimination of infectious and parasitic diseases, malnourishment, and the “neglected diseases of the developing world”: homicides, suicides, and war. The same transition is expected to increase the cancer mortality in the developing world in the following decades, as the people there progress into transitional or developed societies. In 2008, 7.6 million people (approximately 13 % of all recorded deaths this year) died due to cancer, and deaths from cancer worldwide are projected to continue to rise to over 13.1 million in 2030 due to this shift [1]. The economic impact of cancer on both the healthcare system and society as a whole is severe; in 2008, it was estimated to be 201.5 billion US dollars in the USA alone. This figure includes both direct treatment costs (77.4 billion) and indirect costs to society as a result of lost productivity due to premature death (124 billion). The great cost in human life as well as economic resources makes cancer treatment a highly important field of research [2, 3]. Most instances of cancer derive from a single abnormal cell. These abnormalities can be caused randomly by mistakes in DNA replication, by exposure to carcinogens such as radiation or a plethora of carcinogenic 11 chemical substances, by viruses or by inherited genetic disorders [2-4]. The transformation from normal cells to cancer cells is generally attributable to mutations or alterations in two different groups of genes: activation of oncogenes and inactivation of tumor suppressor genes. Still, a single mutation is not sufficient to cause cancer; typically the affected cells gradually accumulate mutations over time and spiral increasingly out of control. This process is constantly ongoing, but in the vast majority of cases, the abnormal cells are swiftly cleared by the immune system or undergo apoptosis. Eventually however, one abnormality will escape the multiple layers of protective systems, which is why the cancer risk increases with age. The first step in this process is an abnormal proliferation of tissue, called a neoplasm, which typically forms a tumor. There are three general forms of tumors that can be distinguished: benign, pre-malignant (carcinoma in situ) or malignant. Benign tumors are not cancerous; they do not grow in an infinite or aggressive way, nor do they invade other parts of the body. Nevertheless they can be dangerous, e.g., if the tumor imposes pressure upon vital organs, particularly the brain. The term pre-malignant tumor refers to a pre-cancerous condition defined by the absence of invasion of surrounding tissues, which seems to be the interstate between benign and malignant tumors. If pre-malignant tumors remain untreated the condition can lead to malignant growth. Malignancies or malignant tumor growth are generally referred to as cancer. These tumors invade and destroy the surrounding tissue and may potentially spread to other parts of the body to form metastases; at this stage of the disease the cancer is life-threatening, and the likelihood of successful treatment is very low [5-7]. It is important to understand that tumors are highly heterogeneous, and there is evidence that a large proportion of tumors consists of relatively inactive and sensitive bulk cells together with small populations of more aggressive tumorigenic cells. Interestingly, these subpopulations also seem to be more resistant to many cancer drugs and to possess an elevated tolerance to radiation, indicating that they are more important for treatment outcomes. They are often called cancer initiating cells or “cancer stem cells” (CSC), due to their functional similarities to the stem cells of the body: the capability to undergo self-renewal and differentiation [8]. This study focuses on two cancer types, originating from the head and neck and the colorectal area, which are presented in the following section. Head and neck squamous cell carcinoma Head and neck cancer comprises tumors of diverse origin, such as the oral cavity, sinonasal cavity, salivary glands, pharynx, larynx and lymph nodes in the neck. More than 95 % of head and neck cancers are squamous cell carcinomas (HNSCC) rising from the epithelial cells of in these regions [9]. HNSCC represents the fifth most common solid cancer worldwide, with 12 approximately 0.5 million new cases diagnosed every year [1]. Tobacco and alcohol use, as well as infection with high-risk types of human papilloma virus (HPV), are important risk factors for head and neck cancers [9]. Most patients with HNSCC present with advanced-stage locoregional disease with metastases that are located primarily in regional lymph nodes in the neck area. Current treatment options consist of multiple-modality therapy with surgery, radiation, and chemotherapy. Despite significant improvements in these modalities, the overall 5-year survival rates are less than 50 %, a figure that has remained relatively unchanged for the past 30 years [10]. This indicates a need for earlier diagnosis and additional treatment options that target the disease more effectively and with reduced toxicity. Several aberrant signaling pathways and abnormal expression oncogenes and oncoproteins have been identified in HNSCCs, including CD44v6, epidermal growth factor receptor (EGFR) and heat shock 90 protein 90 (HSP90) [9-12], which are described later in the section Targets of the present study. Colorectal adenocarcinoma After lung and breast cancer, colorectal cancer is the third most frequent type of cancer worldwide and the second cause of all cancer deaths, with approximately 1 million newly diagnosed cases every year [1, 13]. Colorectal cancer occurs in the colon, rectum and/or cecum with appendix. At diagnosis many patients have already developed metastases in the liver or lung, which is one reason why colorectal cancer is associated with a poor prognosis in late stages and has a 5-year survival rate of less than 10 % [14]. Because the progression is quite slow, the risk of acquiring colorectal cancer increases with age; most patients are 50 years or older. Other factors that increase the risk for developing colorectal cancer are related to the general lifestyle: for example, an unbalanced diet that is high in fat and with a high intake of red meat, alcohol and small amounts of fresh fruits and vegetables, together with sparse exercise [15]. Multiple signaling pathways and constitutively activated signaling proteins are involved in the pathogenesis of colorectal cancer, e.g., APC, PTEN, KRAS, BRAF, PI3K and NRAS [16]. KRAS, BRAF and NRAS mutations can all activate the RAS/RAF/MAP kinase pathway, which is located downstream of growth factor receptors such as EGFR. EGFR plays a key role in the activation of these pathways and is commonly overexpressed in metastatic colorectal cancer [17, 18]. Furthermore, metastatic progressing of colorectal cancer is initiated by cancer cells expressing CD44v6, which can function both as a biomarker and as a therapeutic target [19]. 13 Detection The early detection, diagnosis and treatment of cancer increases the patient’s chance for a full recovery. Cancer is most commonly discovered during a physical exam or as a result of routine tests. Detection methods include endoscopy of the neck, esophagus and gastrointestinal tract, histological analysis of tissue samples (biopsies), laboratory tests of body fluids including blood and urine as well as various imaging techniques. Imaging methods that are in clinical practice include X-ray, ultrasound, magnetic resonance imaging (MRI), computed tomography (CT) and radionuclide based techniques such as single-photon emission tomography (SPECT) and positron emission tomography (PET) [20]. Molecular imaging using SPECT and PET is further described in the Radio-immunodiagnostics section. Treatment Alternatives for the treatment of cancer depend on several factors, such as the type and stage of the cancer, location, whether the cancer has recurred subsequent to earlier treatment, and the general health condition of the patient. However, the most common treatment is surgical removal of the tumor together with chemotherapy and/or radiation therapy, and/or support provided by biologic therapy after surgery [6, 21]. Radiation therapy At present, treatment with ionizing radiation is one of the most successful treatment modalities for solid cancers and is applied to over 50 % of all cancers at one stage of their management [3, 22]. Radiation in the form of high energy X-rays, γ-rays and charged particles is used for adjuvant, neoadjuvant or palliative therapy to treat nearly all types of cancer. The common mechanism of action is ionization of molecules in the cells. Although all molecular constituents of the cell are affected, the desired effect of applied radiation is DNA damage. The rays/particles can either directly ionize the DNA molecule, or more likely, indirectly affect it via the formation of free hydroxyl radicals through the ionization of water molecules. The induced effects are manifested as base damage and single or double-strand breaks (DSB) in the DNA [22]. The goal is to disrupt the genetic material to such an extent that repair and replication cannot proceed, thus inactivating or killing the cell. However, radiation induces DNA breakage in both normal and cancer cells. To some extent this damage can be mitigated by moving and focusing the beam to minimize the exposure to surrounding tissue. Furthermore, most cancer cells have lost or have deficient apoptotic or cell cycle control, as well as poor or lack of DNA repair responses. When normal cells with a functioning cell cycle checkpoint system are affected by DNA damage the 14 cell cycle phase does not transition to allow the repair of the breaks. The rapid growth and abnormal cell cycle of tumor cells instead sensitizes them to radiation. DNA damage is not corrected, and errors are inherited through subsequent cell divisions, resulting in accumulating damage to the cancer cells and finally leading to reduced growth and cell death [23]. Chemotherapy Drug therapies, which are applied to reduce tumor size and growth, as well as to suppress both the development and spread of metastases, are referred to as chemotherapy. Chemotherapy treatment can be used as an adjuvant, meaning after surgical intervention, or as a neo-adjuvant before surgery. Chemotherapy is even administered as the primary therapy for palliative treatment to reduce the severity of symptoms and disease progression. The application depends on the progression of the cancer; for example, an adjuvant treatment is usually only given if the cancer has started to spread to lymph nodes or formed metastases in other tissues [6]. Many drugs used in chemotherapy are directed against the growth and division of cells in the entire organism, with effects similar to radiation therapy but generally without the targeting possibilities, which greatly increases the risk for side effects [6]. Thus, the concept of personalized medicine and targeted therapy has become increasingly clinical relevant. Personalized medicine The concept of personalized cancer medicine is based on customized treatment decisions after functional diagnosis. Because cancerous diseases are very heterogeneous, not all patients benefit from the same treatment. Patients with a different genetic background may only partially respond or not respond at all to the treatment, or in the worst cases, they may develop adverse effects. Therefore, it is important to tailor healthcare to the individual characteristics, needs, and preferences of the patient. The growing understanding of molecular mechanisms and genetics provides more precise diagnoses, safer drug prescribing, and more effective personalized treatment. Ideally, personalized medicine is practiced during all stages of disease, including prevention, diagnosis, therapy, and follow-up [24-26]. The concept of personalized cancer medicine is gradually integrated in the clinical practice, and during the last decade, more than 50 new targeted drugs for the treatment of solid and hematological malignancies have been approved by the FDA [26]. However, personalized medicine is not yet a commonly used cancer treatment strategy, potentially due to the lack of experience, relatively high costs of the treatments and the accompanying diagnoses [27]. The concept of personalized medicine is presented in Figure 1. 15 Figure 1. The concept of personalized medicine. Molecular diagnostic tools are used to match patients with treatments that provide them with the best outcomes, while traditionally treated patients with the same diagnosis do not necessarily benefit from the same treatment. Tumor targeting Tumor targeting relies on the usage of highly specific targeting agents, such as monoclonal antibodies (mAb), which can target specific molecular abnormalities in the tissue of concern. These targets are antigens, which are specific or overexpressed on tumor cells but are absent or expressed at a low level on normal cells, to avoid damaging the healthy tissue. This concept can be utilized for diagnostic imaging and therapy purposes. The cancer cells either can be selectively destroyed by the targeting agents themselves when they are also designed as effectors, or a payload of cytotoxic substances can be delivered to the malignancy with a lower risk of affecting healthy tissues. This strategy of delivery is used, e.g., in radio-immunotargeting, in which a 16 Figure 2. The concept of radio-immunotargeting. A radiolabeled compound binds to a target that is overexpressed on the surface of tumor cells, while normal cells do not (or to very small extent) express that target. radionuclide is attached to the targeting agent [23] (e.g., to an antibody), as demonstrated in Figure 2. The idea behind this setup is that a coupled radioactive emitter can be detected using PET, SPECT or a gamma camera for imaging purposes. Another application is the use of a therapeutic radionuclide coupled to the targeting agent. This tracer can selectively destroy cancer cells with fewer of negative side effects compared with conventional radiotherapy [28]. A quite different principle of targeted treatment is the usage of drugs that affect cell-specific pathways and signaling. In this scenario, the idea is to selectively adjust the cellular behavior of cancer cells by affecting the signaling pathways, for example by blocking or degrading constitutive activated signaling proteins that cause abnormal proliferation. The drug AT13387 which is examined in Papers IV and V uses this principle to target HSP90. New potential targets for radio-immunotherapy and diagnostic imaging, namely EGFR and CD44 variants, are evaluated in Papers I-III. Radio-immunodiagnostics Radio-immunodiagnostics aim to non-invasively visualize, characterize and quantify the molecular interactions of biological processes in real time; in living cells, tissues and intact subjects [20, 29]. The wide range of applications of molecular imaging includes diagnostics, drug discovery and devel17 opment, theranostics and personalized medicine. It can be used to precisely locate diseased cells in the body, which allows for appropriate treatment planning and treatment response monitoring [29]. Radio-immunodiagnostic imaging techniques are most useful in combination with CT or MRI scans, which allow co-localization of the tracer and the precise anatomical position, so called “multimodality imaging” [20, 29]. Table 1 summarizes the features of the central imaging modalities that are used preclinically and clinically. Molecules that are suitable for imaging are e.g., antibodies, antibody fragments, scaffold proteins, ligands and peptides. Small molecules (below 100 kDa) are preferable for imaging since they provide high contrast images in shorter time intervals due to better tissue penetration, shorter circulation and biological half-lives and efficient clearance from the body [29]. Imaging vectors are further described in the section Targeting agents. Table 1. Features of the central imaging modalities used preclinically and clinically. – low, + moderate, ++ high costs. Modality Temporal Spatial Resolution Resolution Sensitivity Cost Safety Profile CT Minutes ND + Ionizing radiation MRI Minuteshours Minutes 10-3-10-5 M ++ 10-10-10-11 M + No ionizing radiation Ionizing radiation 10-11-10-12 M ++ Ionizing radiation SPECT PET Secondsminutes 50-200 µm (preclinical) 0.5-1 mm (clinical) 25-100 µm (preclinical) ∼1 mm (clinical) 1-2 mm (preclinical) 8-10 mm (clinical) 1-2 mm (preclinical) 5-7 mm (clinical) Single-photon emission computer tomography (SPECT) In SPECT, tracers labeled with radionuclides (e.g., 99mTc, 111In, 123I, 67Ga) that emit gamma ray photons or high-energy X-ray photons are used, with an energy range of 100-300 keV [30]. Here, one photon is detected at a time by a single or a set of collimated radiation detectors. Today, most sensors are based on single or multiple NaI(TI) scintillation detectors. SPECT imaging is cheaper than PET but it is less sensitive [31]. Positron emission tomography (PET) In PET, the radioisotope attached to a targeting molecule undergoes positron emission decay and two oppositely directed (180°) 511 keV photons are emitted that can be registered by a circular scanner via coincident detection. By tracking the photons, computer simulations reconstruct threedimensional images of the source of the photons. Radioisotopes that can be used for PET imaging include 11C, 13N, 15O, 18F, 64Cu, 62Cu, 124I, 76Br, 82Rb, 18 89 Zr and 68Ga and 18F which is the most commonly used isotope [32-34]. 18Flabeled fluorodeoxyglucose (18F-FDG) is used to assess the metabolic activity of tumors. PET imaging has many advantages compared with SPECT, in particular its high sensitivity and spatial resolution. The disadvantages of PET are the relatively high costs, limited use for dual isotope imaging and that the majority of the compatible radionuclides must be produced with a cyclotron, preferably on site because of the short half-life of the radionuclides [29, 35]. Radio-immunotherapy Targeting cancer with radiolabeled molecules for therapy purposes has not achieved the same success as radionuclide targeting as a diagnostic tool. However, treatment of lymphoma patients with CD20 targeting antibodies (e.g., 131I-Tositumomab and 90Y-Ibritumomab tiuxetan) has realized great clinical success [36]. The clinical outcomes of radio-immunotherapy of solid disease have been moderate but are currently undergoing broad preclinical and clinical investigations [37-40]. The radiation used for therapy can be of alpha (e.g., 211At, 225Ac, 212/213Bi, 227 Th) or beta type (e.g., 90Y, 67Cu, 131I, 186/188Re, 177Lu), or it can be applied as Auger electrons (e.g., 125I, 111In), resulting in cytotoxic, genotoxic and apoptotic effects [41]. The range of negatively charged beta emitters is in the order of a few millimeters in tissue, which is suitable for larger tumors and metastases. Higher radionuclide concentrations of beta emitters compared with alpha emitters are required for comparable cell killing. However, crossfire of the associated penetrating radiation along the beta particle path length decreases the need to target each cancer cell with a radionuclide emitter. Targeting of the nucleus is crucial for effective tumor cell killing with Auger emitters because of the nanometer range of the tracks. By using short-range high-LET radiation, the effect on the closely situated target cell is maximized in comparison to the distal healthy tissue. Factors that influence the clinical success of radio-immunotherapy are the amount and quality of the delivered radioactivity, biological and radionuclide half-life and the oxygenation state of the tumor cells by simultaneous competition against enzymatic DNA repair mechanisms [42]. Theranostics The youngest field of nuclear medicine is the field of theranostics, which combines the modalities of diagnostic imaging and therapy. Theranostics deliver therapeutic drugs and imaging vectors concomitantly within the same dose [43]. Therefore, diagnostic imaging including response monitoring of the disease can be followed by personalized treatment utilizing the same 19 agent. Therapeutic radionuclides that can be used for molecular imaging, e.g., 177Lu or 90Y are of particular interest in this approach [43, 44]. Targets and targeting agents Targets of the present study CD44 and its variant CD44v6 The CD44 cell-surface glycoprotein plays a role in the facilitation of cellcell and cell-matrix interactions through its affinity for hyaluronic acid. In addition, it is known to impart adhesion and is also involved in the assembly of growth factors on the cell surface, for example, EGFR and HER4 [45, 46]. Dysfunction and/or altered expression of the protein causes various pathogenic phenotypes. Additionally, CD44 has been shown to be highly expressed in cancer cell subpopulations with CSC-like properties, e.g., in HNSCC and colorectal tumors [47-50]. Figure 3. A) Gene map of human CD44. CD44s does not contain variable exons. The exons v2-v10 are alternatively spliced. B) Simplified overview of CD44. CD44 is a transmembrane molecule, which consists of a cytoplasmic domain, and extracellular hyaluronan binding domain and variable domain. CD44 is encoded by a single gene consisting of 20 exons. The standard form (referred to as CD44s) is encoded by exons 1-5 and 15-20. The exons that are lacking in CD44s are called CD44 exon isoform variants (referred to as CD44v1-10) [51]. While evidence of exon v1 expression exist in many spe- 20 cies, in humans the exon contains a stop codon and has not been found expressed, see also Figure 3. Additionally, 19 different splice variants have been found that are generated by alternative splicing of the CD44 mRNA, all of which are expressed at various levels in different tissues, and the roles of these variants are not fully understood [52]. Certain CD44 splice variants, in particular those containing CD44 exon variant 6 (CD44v6), have been associated with disease progression, tumor cell invasion and metastasis. CD44v6 expression has been found in several cancers, including breast, gastrointestinal, colorectal and HNSCC [46, 51, 53, 54]. The large selection of CD44 variants combined with different expression patterns in different tissues, normal cells and cancer types, may allow for precise tumor targeting. Several CD44v6 binders are described in the section CD44v6 targeting agents. EGFR The 170 kDa (mass of the monomer) large transmembrane glycoprotein EGFR (also called ErbB1 or HER1) is a member of the HER/ErbB family, which in addition to EGFR includes three members: HER2/ErbB2/neu, HER3/ErbB3 and HER4/ErbB4. EGFR has several known natural ligands, such as the epidermal growth factor (EGF), transforming growth factor alpha (TGFα), amphiregulin, betacellulin, heparin-binding EGF-like growth factor (HB-EGF) and neuregulins (NRG1, NRG2, NRG3 and NRG4) [17, 55]. EGFR is a receptor tyrosine kinase (RTK) connecting the extracellular space and intracellular signal transduction. After ligand binding to the extracellular domain, the receptor undergoes a shift from the inactive monomeric to the active hetero- or homodimeric form followed by subsequent autophosphorylation and induction of several intracellular pathways. PI3K/AKT, JAK/STAT, SRC/Focal adhesion kinase (FAK) and MAPK/ERK are signal cascade pathways that can be activated through EGFR, regulating processes in the nucleus, which lead to proliferation, inhibition of apoptosis, angiogenesis, migration, differentiation, adhesion or metastatic invasion [14, 56]. Important players in the EGFR mediated signal transduction are presented in Figure 4A. EGFR has been found to be up-regulated and/or modified in multiple cancer types, promoting carcinogenesis and disease progression. Additionally, the expression of EGFR has been associated with resistance to radiation and standard chemotherapy [30, 56], which is why it has become an important target in cancer therapy and is of great interest in cancer research. EGFR gene expression has been shown in 25-77 % of colorectal neoplasms and 80-100 % of HNSCCs, indicating that many patients could benefit from EGFR targeting pharmaceuticals [57]. Two approaches for EGFR targeting are used today; the intracellular suppression of the tyrosine kinase activity, and blocking of the extracellular 21 domain by specific antibodies or antibody-like structures [58]. Several EGFR targeting molecules are described in the section EGFR targeting agents. HSP90 In recent years, there has been rapid progress in the identification of new molecular targets that could be useful for cancer therapies. Some of these promising targets are members of the heat shock protein family, which is a group of proteins that are induced in response to cellular stress. Their primary function is to establish protein-protein interactions, stabilize threedimensional protein structures and assist newly synthesized proteins to fold into their correct confirmation. HSP90 is one member of the very diverse HSP group and is named based on its size [59, 60]. Several isoforms of HSP90 have been found in the cytoplasm and in the nucleus, including HSP90alpha and HSP90beta. Although HSP90alpha and HSP90beta show 85 % sequence identity, HSP90beta is constitutively expressed and often referred to as the major form. Both isoforms can be overexpressed in malignant disease [61]. HSP90 contains three functional domains, the ATPbinding, the protein-binding and the dimerizing domain. It uses a complex chaperone regulation cycle by binding and hydrolysis of ATP and cochaperones, e.g. HSP70, p23, HSP-organizing protein (HOP) and CDC37 [62]. Currently, more than 200 HSP90 client proteins have been found; they are involved in various cellular responses and many are activated in malignancy, as summarized in Figure 4 (e.g. cell cycle progression, migration, growth, cell signaling, activation of transcription factors) [60, 63, 64]. While HSP90 is required in all cells, an increased expression level of HSP90 has been found in several hematologic and solid tumors [11, 65]. Furthermore, tumor cells are particularly sensitive to anti-HSP90 drugs because they are ‘‘oncogene addicted’’ and require especially high levels of the chaperone. This is mainly due to the microenvironment within solid tumors, which includes chromosome and/or microsatellite instability, hypoxia, a low pH and an insufficient nutrient supply. HSP90 overexpression in cancer cells is associated with increased tumor cell survival, an effect that is probably due to stabilization of oncogenic cell signaling proteins, which ultimately prohibits apoptosis. HSP90 client proteins include mutated p53, MEK, FAK, PDGFR, VEGFR2, KIT, ATM, ATR and MET [66-68]. In addition, HSP90 stabilizes proteins which are known to be associated with cell cycle checkpoints like CDK2, CDK3 or CDK4, with constitutive activated signaling proteins like AKT and ERK, or with protection against radiation-induced cell death like HER2, EGFR, AKT and RAF-1. Another example is the stabilization of the constitutively auto-phosphorylated EGFR variant EGFRvIII, which lacks the extracellular ligand-binding domain [64, 69, 70]. EGFRvIII has been shown 22 to enhance tumorigenicity by increasing proliferation and decreasing apoptosis. Targeting and inhibition of HSP90 provides the unique possibility of overcoming mutations in multiple downstream signaling proteins, disrupting Figure 4. A) A schematic overview of select signal transduction proteins and signaling pathways connected with HSP90 and tumorigenesis. HSP90 client proteins (red circle) are present at several levels and key junctions of the oncogenic signaling cascades, implying that HSP90 targeting could affect multiple pathways simultaneously and constitute an effective treatment strategy. B) Schematic illustration of several hallmark traits of cancer which depend on HSP90 client proteins and which are abrogated by HSP90 inhibition. 23 feedback loops and shutting down several pathways simultaneously. The downregulation of DNA repair proteins could lead to the sensitization of tumor cells to radiation and ultimately be utilized for combination treatment with radiotherapy or radio-immunotherapy, an approach that was investigated in Paper IV. Figure 5. Schematic overview of the development process of targeting agents. Development of radiolabeled targeting agents The development path of new cancer drugs and targeting agents is long and winding, and each phase involves an increase in costs and efforts [71]. Generally, the first phase consists of basic medical science studies of patient material, leading to the identification of a pathology or biochemical process of interest. In the second phase, a specific molecular target is sought via molecular biology and biochemistry, which can either visualize or affect the Figure 6. Selection of targeting agents: schematic structure and properties. 24 pathology or the process. This phase is followed by the selection of a specific targeting agent and payload (signaling or therapeutic, as described previously), which involves labeling chemistry and synthesis. After this process has led to a viable targeting compound, the following phase consists of in vitro and in vivo studies of, e.g., the specificity, selectivity and toxicity of the compound. Based on these tests, either the targeting compound or labeling chemistry must be re-visited to optimize the parameters. The final phases move from the biomedical into the clinical domain, where the compound is evaluated in terms of toxicity (Phase 0 and I clinical trials) compared with existing drugs/targeting compounds (Phase II, III clinical trials) [29, 72]. This process is summarized in Figure 5. The majority of the work presented in this thesis focuses on processes 2-5 (discovery, definition and preclinical validation). Targeting agents The most studied molecules for imaging and radio-immunotherapy are full size antibodies (∼150 kDa). The use of antibodies as radio-immunotargeting agents has many advantages. They have a fairly high affinity and are easily and economically produced. Initial problems of, e.g., murine monoclonal antibodies causing severe immune reactions have been eliminated by routine humanization, or through the de novo production of human antibodies via display methodology (e.g., phage, yeast) [34, 73]. Large targeting vectors, like antibodies, possess desirable pharmacokinetics for radioimmunotherapy due to their slow clearance from the bloodstream and long duration in the circulation during the targeting phase of the tumor, properties that may cause problems for radio-immunodiagnostics for which small molecules are preferable. The structures and characteristics of several targeting agents are displayed in Figure 6. To further reduce immunoreactivity, Fc interactions with complement and Fc receptors on immune system cells have been removed by depletion of the Fc region, either through the generation of conventional enzymatically derived Fab (∼50 kDa) or F(ab’)2 fragments (∼100 kDa) or by producing recombinant fragments that lack the immunoglobulin Fc or CH2 domains [34, 74]. These fragments retain the specificity and affinity of the parental antibody. Furthermore, agents with molecular weights of less than 60 kDa are secreted via the kidneys and provide rapid kinetics and circulating half-lives that are measured in hours rather than days. Single-chain antibody variable fragments (scFvs) are even smaller (∼30 kDa) than Fab fragments and provide fast clearance and tissue penetration. Depending on the application, the monovalency of scFvs can be a substantial disadvantage. Consequently, scFvs are coupled to generate bivalent single-chain formats, including scFvFc fusion proteins (105-110 kDa), minibodies (∼80 kDa), and diabodies 25 (∼55 kDa) [73, 75, 76]. As an alternative to the engineered antibody molecules, recombinant DNA technology enables the development of new binding proteins and the creation of large libraries of potential binders. One example of a new class of binders is the group of scaffold proteins, which includes the designed ankyrin repeat proteins (DARPins), Fynomers, Affibody molecules and Knottins [77]. A major advantage of these molecules is, despite very high affinities, their robustness and tolerance to harsh labeling conditions (e.g., pH, high temperature). Another class of targeting molecules is the natural peptide ligands (5-20 amino acids) and their analogues, which are almost exclusively used for molecular imaging. Peptides can provide excellent high-contrast images, yet not all target receptors (e.g., HER2) possess natural ligands. Moreover, peptides can trigger antagonistic effects [77]. CD44v6 and EGFR targeting agents CD44v6 targeting agents Several CD44v6-targeting conjugates have been investigated preclinically and clinically for therapeutic and imaging applications, mainly in HNSCC [51]. These compounds displayed selective accumulation in the tumor tissue and only minimal uptake in normal tissues like squamous epithelia, oral mucosa, lung, spleen, kidney, bone marrow and the scrotal area [78]. The most frequently studied anti-CD44v6 molecules are variants of the mAbs BIWA and U36 [79-81]. However, in clinical trials of bivatuzumab (BIWA 4) attached to a highly toxic anti-microtubule agent (mertansine), the agent bound to skin keratinocytes and resulted in severe skin toxicity with a fatal outcome in one patient. After this Phase I clinical trial, all development of bivatuzumab mertansine was stopped [82, 83]. In its place, radioimmunotargeting of CD44v6 appeared to be a more promising strategy because radionuclides with the appropriate half-life and energy can avoid skin toxicity [84]. A radio-immunotherapy Phase I trial with the 186Re-labeled chimeric mAb (cmAb), cU36, resulted in promising anti-tumor effects and stabilized the disease without skin toxicity [85]. PET studies in HNSCC patients with 89Zr-cU36 permitted the visualization of primary disease as well as metastases in the neck region and was well tolerated by all of the subjects [86]. In addition, the use of radiolabeled antibody fragments, e.g., F(ab’)2 and Fab’ fragments, was even superior to the parental U36 mAb in terms of tissue penetration and tumor to blood ratios at early time points [87]. The current in vitro design and selection based on recombinant combinatorial libraries is a promising strategy for the development of new CD44v6 binders with novel, superior characteristics [88]. 26 EGFR targeting agents The EGFR serves as an attractive target for molecular imaging and therapy, mainly due to the strong correlation between its deregulation and the aggressiveness of the disease [89]. Numerous EGFR targeting compounds are approved by the FDA or in ongoing clinical trials. These drugs either target the extracellular domain of the cell surface receptor or the intracellular tyrosine kinase domain, the so-called tyrosine kinase inhibitors (TKIs). Both the targeting of the extra- and intracellular domains has been used for therapy and molecular imaging. The most commonly used EGFR targeting drug is cetuximab (Erbitux, ImClone System Inc.), a chimeric IgG1 mAb that blocks receptor activation and downstream signaling by binding to the extracellular ligand-binding domain and inducing internalization [32, 89]. Cetuximab is used as single agent or in combination with radiotherapy in several solid cancers, e.g., HNSCC and colorectal cancer. Still, the therapeutic potential of the targeting of EGFR remains to be refined and optimized [57]. Two major approaches have been undertaken for the development of EGFR tracers for molecular imaging: labeling of mAbs and their derivatives and small organic compounds. Cetuximab labeled with various radionuclides has been used in SPECT and PET cameras [90]. 89Zr-cetuximab and 177Lu-cetuximab investigated by PET before radio-immunotherapy confirmed the tumor targeting and allowed the estimation of radiation dose delivery to tumors and normal tissues [91]. The expression and quantification of EGFR has been investigated with 86 Y-labeled and 64Cu-labeled cetuximab [90, 92]. Furthermore, 111Incetuximab-F(ab’)2 imaging allowed the effects of EGFR inhibition to be monitored in combination with radiation treatment in HNSCC models [93]. Another approach to anti-EGFR antibodies and their derivatives is imaging with natural ligands such as human epidermal growth factor (hEGF, approximately 6.4 kDa) [94]. Also EGF has been labeled with various SPECT radionuclides, including 99mTc [95] and 111In [96]. Small animal PET scans with 68 Ga-labeled DOTA-hEGF or 18F-FBEM-EGF could visualize EGFR expressing tumors within 5 min to 2 h p.i. [97, 98]. Furthermore, radiolabeled small scaffold molecules [77] or tyrosine kinase inhibitors are interesting anti-EGFR targeting vectors. For example, several Affibody molecules targeting EGFR have demonstrated preferable biodistribution patterns despite a high kidney uptake, as well as superior imaging properties [99, 100]. Moreover, targeting of mutated EGFR variants with different targeting vectors, especially EGFRvIII, is receiving increasing interest in nuclear medicine [73, 101]. 27 HSP90 inhibitors At present, HSP90 inhibitors are gaining increasing preclinical and clinical attention due to their unique potential for combined targeting of multiple oncogenic protein pathways. Since the initial discovery of the first natural product HSP90 inhibitors, including geldanamycin and radicicol, almost two decades ago, remarkable progress has been achieved in the development of effective and selective drugs against this chaperone [102, 103]. The mode of action for all developed anti-HSP90 compounds is very similar. They bind to the regulatory ATP/ADP pocket in the amino-terminal portion of HSP90, blocking the unfolded client protein from binding and thus causing its ubiquitination and proteasomal degradation, which may lead to apoptosis. Additionally, HSP90 inhibition can trigger the recognition and destruction of cancer cells by the immune system of the patient because the accumulation of misfolded proteins leads to digestion into small peptides, which are presented on the cell surface by MHC class I molecules [104]. It has been found that instead of complex molecules such as radicicol, smaller molecules are more efficient [105]. The synthetic geldanamycin analogs, e.g., 17-Allyl-17-Demethoxygeldanamycin (17-AAG), 17(dimethylaminoethylamino)-17-demethoxygeldanamycin (17-DMAG), NVP-AUY922 and NVP-BEP800, have been intensely characterized in vitro and in vivo [106-109]. However, the clinical outcomes of the previously described drugs have been modest due to poor pharmaceutical properties, limited solubility in water, difficulties associated with their formulation and high hepatotoxicity [110]. New synthetic small molecules, second- and third-generation HSP90 inhibitors, are currently developed via the combined use of high-throughput screening and structure-based drug design. These high-affinity HSP90 inhibitors may overcome the limitations of the previously described drugs because they are easier to administer and may have reduced toxicity. One of these promising, novel and high-affinity HSP90 inhibitors is AT13387 (2,4-dihydroxy-5-isopropyl-phenyl)-[5-(4-methylpiperazin-1-ylmethyl)-1,3-dihydro-isoindol-2-yl] thanone, l-lactic acid salt) [64, 111]. AT13387 is now undergoing evaluation in Phase I and II clinical trials that include patients with prostate carcinomas, refractory tumors, gastrointestinal stromal tumors (GIST) and ALK positive lung cancer [112, 113]. Studies on AT13387 are presented in Paper IV and Paper V. HSP90 inhibition in combination with other treatments The main aims of treatment combinations are to achieve synergistic therapeutic effects that account for the potential tumor heterogeneity and provide dose and toxicity reductions and minimize the induction of drug resistance. The development of resistance in particular is a major problem in cancer 28 patient management and is frequently induced by rapid genetic and epigenetic changes during adaptation to the microenvironment in the tumor or induced by the treatment itself [63]. Targeting and inhibiting HSP90 represents a novel approach to overcome resistance, especially in combination with other treatment options. Preclinical and clinical studies have demonstrated additive and synergistic effects when combining HSP90 inhibitors with other anti-cancer drugs in solid and hematologic tumors [63, 114]. In HER2-positive breast cancer patients who are progressing on the HER2targeting drug trastuzumab (HerceptinTM), proof-of-concept was demonstrated by first-generation HSP90 inhibitors in combination with trastuzumab [114]. Furthermore, the inhibition of HSP90 is an interesting strategy to sensitize tumors towards irradiation. The misfolding, degradation and finally depletion of HSP90 client proteins is associated with antitumor activity and may also radiosensitize cells, because the cell cycle control and DNA repair machineries, among others, are affected [115-118]. Interestingly, several preclinical studies have demonstrated that first generation HSP90 inhibitors do not radiosensitize normal cell lines [116, 119]. In effect, this approach could lead to lower radiation dosages or fewer radiation treatments and potentially reduce systemic exposure and undesirable side effects in normal tissues. Furthermore, this strategy may be useful for restoring efficacy in chemotherapy and radiotherapy-resistant cancers and/or reducing the recurrence of disease. Current preclinical findings, including the results in Paper IV, indicate that HSP90 inhibitors have promising efficacy as an adjunct to radiation therapy in several types of cancer [105, 117, 118]. Although the radiosensitizing effects of HSP90 inhibitors have been shown in vitro, this concept has not been investigated in a clinical setting. The next logical step is to translate these findings to Phase 0/Phase I clinical studies investigating this therapeutic combination. 29 Aim The overall aim was to characterize the heterogeneity of tumor cells and to evaluate new biomarkers for radio-immunodiagnostics and radioimmunotherapy. There is a need to develop new tracers that target these biomarkers and combine treatment strategies to potentiate the synergistic effects between new cancer drugs and radio-immunotherapy, which could lead to improved treatment protocols. The specific goals were as follows: 30 • Evaluate new potential targets for radio-immunotherapy and diagnostic imaging, with a focus on the expression fingerprints of CD44 variants • Investigate radiolabeled CD44v6-targeting fragments as targeting agents for radio-immunodiagnostics (PET and SPECT imaging) of CD44v6-expressing tumors • Characterize the novel HSP90 inhibitor AT13387 in vitro and in vivo with regard to its potential radiosensitizing effects • Evaluate biomarkers for imaging and radio-immunotherapy in vivo in combination with HSP90 inhibition Results Paper I New targets for imaging and radio-immunotherapy: CD44 variants Aim and background Several studies have found high expression of the molecules CD133 and CD44 and low expression of CD24 to be markers for aggressive subpopulations in various malignancies [8]. The aim of the present study was to identify specific expression fingerprints of these markers, with a special focus on CD44 and its variants CD44v3, v4, v5, v6, v7, v8 and v10, in squamous cell carcinoma cell lines, to identify suitable targets for molecular radiotherapy or diagnostic imaging. Furthermore, we wanted to determine whether the expression of these variants changes under different growth conditions, such as a lack of nutrients (as commonly exists inside solid tumors, simulated by serum starvation), and whether any of the variants is associated with a certain phase of the cell cycle, increased proliferation, migration potential and radioresistance. Such molecular fingerprints could, e.g., be used for patient stratification, therapeutic monitoring, or selective targeting of specific tumor subpopulations. Table 2. Expression pattern of CD44, CD44 exon variants, CD133, and CD24. The expression levels were measured by flow cytometry and graded on a relative scale to the isotope control (expression baseline). – low expression; + moderate expression, ++ high expression; n = 2-6. Cell line UT-SCC7 UT-SCC12 SCC-25 H314 Expression of the marker CD133 CD24 CD44 v3 v4 v5 v6 v7 v7/8 v10 + + + +/- ++ ++ ++ + + + - ++ ++ ++ + ++ ++ ++ ++ - + + +/- - ++ ++ ++ ++ ++ ++ + + 31 Methods The HNSCC cell lines were characterized in vitro under standard and low serum culturing conditions. Cell proliferation and radiation resistance were studied using clonogenic survival assays. The migratory activity of starved and non-starved cells was assessed using a cell migration scratch (woundhealing) assay. Morphology, antigen expression and cell cycle distribution were assessed by flow cytometry and fluorescence-activated cell sorting (FACS) using DNA binding dyes and fluorescently labeled antibodies. Figure 7. A) Example of flow cytometry analysis of three markers with different expressed levels in the HNSCC cell line SCC-25. CD24 displays no or low expression. CD44v3 is moderately expressed. CD44v6 exhibits a high expression level. B) Clonogenic survival assay of SCC-25 cells under normal growth conditions and after serum starvation for 4 months (1 % FBS, 20 ng/ml EGF and bFGF). Normal SCC-25 cells are more sensitive to radiation than previously starved SCC-25 cells. The survival data were fit to a linear quadratic curve. Error bars represent the standard deviation (SD), n ≥9. Results The investigated HNSCC cell lines lacked or displayed very low expression patterns for CD24. CD133 was moderately expressed in three of the four cell lines, whereas all of the cell lines were highly positive for CD44 expression (see Table 2 and Figure 7A). High and uniform expression levels of the CD44 standard variant (CD44s) and the variants CD44v6 and CD44v7 were measured in all of the cell lines. CD44v3 was highly expressed in some of the studied cell lines, whereas CD44v5 and CD44v8 demonstrated low or no expression. In several cell lines, an interesting subpopulation of very high antigen expression was identified for the variant CD44v4, which was independent of the cell cycle phase. In the cell starvation experiments that were designed to simulate the environment within a large tumor and to increase the numbers of aggressive cancer cells, a major population with dramatically increased expression of CD44, CD44v6 and CD44v7 was identified. Additionally, the morphology of the starved cells was altered, rendering fewer cells that grew as a monolayer and a larger proportion of cells that grew 32 three-dimensionally. Previously starved CD44++, CD44v6++ and CD44v7++ cells displayed enhanced motility and increased resistance to radiation compared with non-treated cells (Figure 7B). Conclusion and discussion By analyzing novel molecular tumor biomarkers, we hope to elucidate the molecular and biological mechanisms responsible for tumor progression and aggressiveness and to identify suitable tumor-exclusive targets that can distinguish aggressive, resistant, and re-growing cancer subpopulations. Successful selective targeting of these subpopulations could lead to improved therapeutic responses and a reduced recurrence of cancer. The characterization of CD44 and its variants revealed that CD44, CD44v6 and CD44v7 are highly expressed in cultured HNSCC cells, in which they were found to mediate migration, proliferation, and radiation resistance. The markers CD44v6 and CD44v7 are very interesting because they are more specific anti-tumor targets than the commonly assessed CD44s, which is also present to a high extent in normal tissue. We conclude that targeting splice variants containing v6 and/or v7 could provide a basis for more personalized medicine in the future, hopefully enabling improved treatment outcomes together with a better quality of life and longer lifetime expectancies in patients with HNSCC. 33 Paper II and III Radiolabeled CD44v6-targeting fragments for radioimmunodiagnostics Aim and background Paper I demonstrated that the targeting of CD44v6 could be a viable strategy for radio-immunodiagnostics in HNSCC. For molecular imaging, small tracers such as antibody fragments directed against cell surface molecules appear to be a particularly favorable class of molecules due to the higher contrast and earlier optimal imaging time compared with the full-length parental antibodies. Therefore, we have developed a fully human, anti-CD44v6 Fab fragment, AbD15179, and a bivalent antibody fragment, AbD19384, engineered from two AbD15179 Fab-fragments corresponding in size to a F(ab’)2. The objective of this study was to evaluate, for the first time, the in vitro and in vivo properties of radiolabelled AbD15179 (Paper II) and of the bivalent antibody fragment AbD19384 (Paper III) as novel targeting tracers for radio-immunodiagnostics of CD44v6-expressing tumors. Methods In Paper II the Fab fragment AbD15179 was labeled with 111In and 125I as models for radionuclides that are suitable for molecular imaging with SPECT or PET, respectively. In vitro studies resulted in the characterization of AbD15179 in terms of the species and antigen specificity as well as the internalization properties. The in vivo specificity and biodistribution were then evaluated in a mouse xenograft model using a dual-tumor and dualisotope approach. In Paper III, the specificity, binding properties, and interaction analysis of the bivalent antibody fragment AbD19384 were assessed in vitro. 125Ilabeled AbD19384 was then studied in mouse xenografts bearing two tumors with different expression levels of CD44v6. Small animal PET/CT scans revealed the uptake and distribution of 124I-labeled AbD19384 and 18FFDG in mice bearing tumors with both low and high CD44v6 expression at three different time points. Results AbD15179 was successfully labeled with both 111In and 125I using the chelator CHX-A″-DTPA [120, 121] and a direct labeling approach with chloramine T (CAT) [88], respectively. Both the radiolabeled AbD15179 conjugates 111In-Fab and 125I-Fab demonstrated selective tumor cell binding in 34 Figure 8. A) Biodistribution of 111In-Fab and 125I-Fab as percentages of injected activity per gram of tissue (%ID/g), excluding the thyroid (inset), which is expressed as percentages of injected activity per organ. B) Tumor-to-organ ratios for A431 tumors and inset: tumor to blood ratios of radiolabelled Fab for both A431 and H314 tumors. The target antigen CD44v6 was expressed moderately in H314 tumors and at high levels in A431 tumors. The animals were sacrificed at 6 h (black bars), 24 h (dark grey), 48 h (light grey) and 72 h (white) post injection. A431 tumors were used as reference for tumor to organ ratio calculations. The animals were sacrificed at 6 h (black bars), 24 h (dark grey), 48 h (light grey) and 72 h (white) post injection. Error bars represent SD, n = 5. 35 vitro and good tumor targeting properties in vivo (Figure 8A). However, 111 In-Fab displayed higher tumor uptake, slower dissociation as well as higher tumor to blood ratio compared to 125I-Fab (Figure 8B). On the other hand, uptake in non-target organs like liver, spleen and kidneys was lower for iodinated Fab. Figure 9. Representative data from SPR analyses of A) AbD15179 and B) AbD19384 binding to CD44v3–10. Five concentrations of each fragment ranging from 3 to 50 nM were injected over a surface with immobilized CD44v3–10 on a ProteOn XPR36 protein interaction array system Bio-Rad. Data are double referenced by subtraction of simultaneous responses from a blank surface and a buffer injection. Experimental data are plotted together with curves drawn from a fitted 1:1 Langmuir isotherm. AbD19384 was successfully conjugated with either 125I (using direct chloramine T labeling) or with 124I (using iodogen labeling (1,3,4,6-Tetrachloro3α,6α-diphenylglycouril)). SPR analysis confirmed specific binding of AbD15179 and of AbD19384, where AbD198384 displayed a higher affinity combined with improved dissociation rate compared to AbD15179, see Figure 9. Ligand Tracer measurements showed that 125I-labeled AbD19384 was able to distinguish between CD44v6 high, moderate and low expressing cancer cells (Figure 10A). The labeling method (CAT or iodogen) did not influence the binding properties of the tracer (Figure 10B). Figure 10. Representative Ligand Tracer measurements of real-time binding of radioiodinated AbD19384. Binding traces using three subsequent concentrations (10, 30, 90 nM) were obtained for at least 1 h per concentration (marked by dotted lines), followed by a dissociation measurement for at least 15 h. A) Binding of 125IAbD19384 to A431, H314, UM-SCC-74B, or negative MDA-MB-231 cells. Signal is shown in cps. B) Comparison of 125I-AbD19384 (labeled using CAT), 125I-AbD19384 (labeled using iodogen) and 124I-AbD19384 (labeled using iodogen). Curves were normalized to the percentage of maximum binding. 36 Furthermore, 125I-AbD19384 displayed a favorable biodistribution and tumor-specific uptake, which was consistent with the small animal PET/CT study investigating 124I-labeled AbD19384, as summarized in Table 3. 124IAbD19384 clearly allowed the visualization of high CD44v6-expressing tumors, while 18F-FDG was neither able to detect nor distinguish between CD44v6 high and low-expressing tumors. The contrast and tumor to blood ratios increased with time (up to 72 h) though 48 h p.i. was optimal for imaging (Figure 11). Conclusion and discussion We conclude that CD44v6 expression profiling has the potential to be a valuable diagnostic tool in HNSCC patients. We could prove, for the first time, that the novel radiolabeled fragment AbD15179 was able to efficiently target CD44v6-positive tumors in vitro and in an in vivo setting. In particular, 111 In-Fab showed favorable tumor to blood ratios. Furthermore, the results of Paper II demonstrate that radiolabeling can change the kinetic properties of the tracer, emphasizing the importance of repeated characterization of the protein even after radiolabeling. Table 3. Comparison of tumor uptake of 124I-AbD19384 relative to blood (heart), as obtained by PET imaging and ex vivo organ distribution. 24 h, 48 h and 72 h refer to time points post administration of 124I-AbD19384. Tumor type A431 UM-SCC-74B Mode PET Ex vivo PET Ex vivo 24 h Mean SD N Mean 48 h SD N 72 h Mean SD N 0.83 0.71 0.33 0.34 4 4 3 4 1.32 1.86 0.49 0.52 0.32 0.71 0.36 0.38 3 4 3 4 1.44 1.83 0.99 0.90 3 4 3 4 0.18 0.17 0.03 0.04 0.58 0.64 0.29 0.29 The bivalent antibody fragment AbD19384 was also found to be a promising candidate for the imaging of high CD44v6-expressing tumors. Functional anti-CD44v6 imaging with AbD19384 revealed many advantages compared with imaging using the clinical standard 18F-FDG, although since only one animal was used, the FDG scan should only be viewed as descriptive. Based on these results, radiolabeled CD44v6 targeting fragments could be used in the future for patient stratification and the early detection of HNSCC in the clinic. Therefore, they could help to improve the management of head and neck malignancies. 37 Figure 11. Small animal PET/CT imaging of 124I-AbD19384 in CD44v6 high expressing tumors on the left (T1) and low expressing tumors (T2) on the right flank. The best contrast was obtained at 48 h p.i.. 18FDG-PET shown on the right at 30 min p.i.. 18F-FDG demonstrates no clear visualization of tumors, no discrepancy between the high CD44v6 expressing tumor and the low expressing tumor, and uptake in brown fat (B). 38 Paper IV The HSP90 inhibitor AT13387 potentiates the effects of radiation Aim and background HSP90 overexpression has been demonstrated in HNSCC and adenocarcinomas of the colon. Overexpression is associated with increased tumor cell survival due to the stabilization of oncogenic client proteins. Inhibition of HSP90 provides the possibility to target multiple oncoproteins concurrently and to disrupt several cell-signaling pathways, including feedback loops. The aim of this study was to assess the treatment efficacy of the novel HSP90 inhibitor AT13387, alone or in combination with radiotherapy. A special focus was to investigate the effects of this inhibitor on migration, the cell cycle and the expression of oncogenic client proteins in vitro in SCC and colorectal cancer cells, with the goal of exploring the mechanisms underlying radiosensitization. Furthermore, we aimed to investigate the in vivo treatment response of commonly expressed cell surface receptors, cell signaling and DNA repair proteins in mouse xenografts. Methods Colony-forming and multicellular tumor spheroid assays, flow cytometry, scratch (wound-healing) assays, Western blot analysis of target antigen expression and Pulsed-field gel electrophoresis (PFGE) were first used to evaluate the effect of AT13387 on cell survival, motility, cell cycle distribution, radiosensitivity and DNA repair capabilities in vitro. Potential radiosensitizing effects of the inhibitor were studied in 2D and 3D cell cultures after exposure to external beam radiation. Effects on antigen expression were then assessed in vivo in mouse xenografts bearing CD44v6 high and EGFR high tumors. The animals were treated 5 times on 5 consecutive days with 50 mg/kg AT13387. The tumors were dissected and analyzed using immunohistochemistry (IHC). 39 Figure 12. Clonogenic survival and Multicellular tumor spheroid growth. A) Clonogenic survival assays. Dose response curves of H314, A431 LS174T and HCT116 cells treated with AT13387 (0.5 nM, 5 nM, 50 nM) and radiation (2, 4 and 6 Gy). The cells were pre-plated in triplicates, incubated with AT13387 24 h later and irradiated 1 h after drug incubation. Colonies with >50 cells were counted. (n ≥ 612). All curves are normalized to the plating efficiency of the non‐irradiated controls. B) Effects of AT13387 and radiation alone as measured by plating efficiencies of the dataset in A), evaluated with Student’s t-test with * p < 0.05, ** p < 0.01, *** p < 0.001 C) Multicellular tumor spheroid growth. H314 cells and HCT116 cells treated with AT13387 (5 nM, 50 nM, 100 nM), 5 times 2 Gy radiation fractions and combination treatment of 5 nM AT13387 and radiation. 1000-3000 cells were preplated in agarose coated 96-well plates, incubated with AT13387 after 24 h and irradiated 1 h after drug incubation. The error bars represent SD, n ≥ 3. All curves are normalized to the size of controls at day 1. D) Example of H341 spheroids after 2, 12 and 22 days. 40 Figure 13. DNA DSB rejoining capacity, migration distance and cell cycle analysis. A) PFGE analysis. H314, A431, LS174T and HCT116 cells were exposed to 200 nM AT13387 for 24 h prior 40 Gy radiation. After irradiation, cells were allowed to repair. Kinetics of DSB end rejoining was calculated by fraction of activity released (FAR) corresponding to DNA of sizes < 5.7 Mbp. The error bars represent SD, n = 4. B) Cell migration assay. Left hand images represent photographs of A431 and HCT116 cultures taken at 0 h (immediately after scratching) and at 24 h with and without AT13387 treatment. The graphs show quantification of the wounded area invaded after 24 h, measured in migrated distance in mm. The error bars represent SD, n ≥ 3. Student's t-test was used to calculate statistics: * p < 0.05, ** p < 0.01, *** p < 0.001. C) Flow cytometry evaluation of cell cycle progression. The histograms on the left show representative data of DNA content stained with DAPI/PI to show the progression from G1 through the S and G2/M phases. Increasing concentrations of AT13387 resulted in a greater G2/M peak and depletion of the S phase. The panel on the right shows the quantification of the flow cytometry data and statistical significance based on ANOVA with Tukey’s post-test. 41 Results AT13387 treatment displayed effective cytotoxic activity in colorectal and SCC cells with low nanomolar IC50 values. AT13387 significantly radiosensitized the tested cells in 2D and 3D cell culture models, as seen in Figure 12. HSP90 client proteins were efficiently downregulated, both in vitro and in vivo. Moreover, exposure to AT13387 resulted in G2/M phase arrest, depletion of S phase and significantly reduced migration ability (Figure 13). Immunohistochemical staining of tumor tissue is presented in Figure 14. AT13387 treatment efficiently downregulated HSP90, tumor markers like EGFR and MET, and DNA repair proteins like DNA-PKcs and ATM. CD44v6 expression was not significantly altered by the drug, however. Figure 14. Immunohistochemical analysis of A431 tumors. Representative images of ex vivo immunohistochemical stainings for HSP90, EGFR, CD44, CD44v6, DNA‐ PKcs, ATM and MET expression on A431 tumor xenografts (magnification x10). Mice in the treatment group (n = 6) received 5 doses of 50 mg/kg AT13387 on 5 consecutive days before dissection and analysis. The effect of AT13387 was highest on the expression pattern of HSP90, EGFR and MET. Conclusion and discussion We conclude that AT13387 is a potent new cancer drug with improved pharmacokinetics compared with first-generation HSP90 inhibitors. We showed for the first time the excellent anti-tumor effects of AT13387 alone and in combination with radiation in SCC and in colorectal cancer cells both 42 in vitro and in vivo. The synergistic combination effects at clinically relevant drug and radiation doses are especially promising for both reduction of the radiation dose and minimization of side effects, or for an improved therapeutic response. The mechanism underlying this effect is likely related to the detected downregulation of HSP90 client proteins, which are involved in all hallmarks of cancer. Our results strengthen the case for further clinical studies of HSP90 inhibitors and radiation co-treatment. Furthermore, the varying treatment responses of cell surface proteins could potentially be used either as biomarkers for the monitoring of AT13387 treatment or as potential targets for radio-immunotherapy when unaffected by HSP90 inhibition. 43 Paper V Molecular imaging in combination with HSP90 inhibition Aim and background Paper IV demonstrated that the novel HSP90 inhibitor AT13387 promotes the degradation of oncogenic proteins upon binding and acts as a radiosensitizer. However, for optimal treatment, there is a need to identify biomarkers for therapeutic response monitoring, patient stratification and to find suitable targets for combination treatments. Molecular imaging of shifts in biomarker expression after AT13387 treatment could be a suitable approach to assess the treatment response. One marker for treatment response monitoring identified in Paper IV is of specific interest: EGFR. EGFR expression has been associated with tumor progression and the emergence of chemo- and radiotherapy resistance in several cancer types. Furthermore, combined treatment modalities such as AT13387 together with radio-immunotherapy might potentiate treatment outcomes due to the radiosensitizing effects of the drug. Paper I showed that CD44v6 is an interesting overexpressed biomarker in HNSCC, and Paper IV demonstrated that CD44v6 was not affected by HSP90 inhibition, implicating CD44v6 as a potential marker for targeted radionuclide therapy in combination with AT13387 in HNSCC. The aim of this study was to target and monitor EGFR and CD44v6 with suitable radiotracers using PET/CT in animals treated with AT13387 to establish whether they are viable biomarkers for this purpose. The expression of EGFR and CD44v6 was investigated using 124I-labeled Cetuximab and 124 I-AbD19384, respectively. 124I-AbD19384 is a novel anti-CD44v6 tracer that was initially investigated (Paper III) in mouse xenografts with EGFR/CD44v6 high and low-expressing SCC tumors. For comparison of the tracers and of the specificity, the metabolic activity of the tumors in control and treated mice was concurrently investigated using the clinical standard 18 F-FDG. Methods Cancer cell proliferation, cell toxicity (MTT) assays and radioimmunoassays with 125I-cetuximab and 125I-AbD19384 were used to quantify the effect of AT13387 on EGFR and CD44v6 expression in vitro. Inhibitor effects were then assessed in vivo in mice xenograft bearing tumors with high EGFR/CD44v6 and low EGFR/CD44v6 expression. Animals were treated 5 times on 5 consecutive days with AT13387 (50 mg/kg), and were 44 then imaged either with 18F-FDG (30 min p.i.) or with 124I-labeled tracer (48 h p.i.), using small animal PET/CT, followed by ex vivo biodistribution measurements and immunohistochemical analysis. Figure 15. Expression of EGFR and CD44v6 in A) A431 and B) UM-SCC-74B cells using radio-immunoanalysis. Cells were exposed to 0.01 to 60 nM of 124I-cetuximab or 124I-AbD19384 and a 100-fold excess of unlabeled antibody was added at the highest concentrations for unspecific binding correction. The number of cells was counted and radioactivity measurements were performed in a gamma counter, n = 3, error bars represent standard error of the mean (SEM). Results Cancer cell treatment with AT13387 caused sufficient cytotoxicity and radiosensitization with low IC50 values, below 4 nM. In vitro measurements showed specificity of the radioiodine labeled compounds cetuximab and AbD19384 and downregulation of EGFR after AT13387 exposure in high and low expressing cancer cells, while CD44v6 expression was not affected (Figure 15). Quantitative PET analysis of EGFR with the 124I-labeled mAb cetuximab demonstrated a significant reduction of EGFR in the AT13387 treated group compared to untreated mice (Figure 16A). CD44v6 expression (visualized with 124I-labeled AbD19384) and 18F-FDG uptake were not significantly altered by AT13387 treatment (Figure 16B and C). 45 Figure 16. Representative small animal PET/CT images of EGFR and CD44v6 high expressing A431 tumors (T1 left posterior flank) and EGFR and CD44v6 low expressing UM-SCC-74B tumors (T2 right posterior flank) in nude mice after intravenous injection (i.v.) of A) 124I-cetuximab, B) 124I-AbD19384, C) 18F-FDG. The upper row shows a representative cross section of the xenograft. The tracer uptake was calculated as quotient of high and low expressing tumors. The lower row displays planar maximum intensity projections (MIP) images of the tracer distribution. Conclusion and discussion In conclusion, CD44v6 is not dependent on the molecular chaperone HSP90, and therefore, radio-immunotargeting of CD44v6 in combination with the HSP90 inhibitor AT13387 might potentiate treatment outcomes due to the radiosensitizing effects of the drug. A combination approach may allow a decrease in the radiation doses to normal and dose-limited tissues and may overcome resistance to conventional chemotherapeutic and radiation therapies. In contrast to CD44v6, EGFR expression levels correlate with HSP90 inhibition, and molecular imaging of EGFR-positive SCC may be used to assess treatment responses to HSP90 inhibitors. Our results indicate that molecular imaging may serve as a tool to monitor responses and complement or replace standard tumor size measurements. Currently, treatment outcomes are measured according to RECIST criteria (response evaluation criteria in solid tumors), which relies to a great extent on the size of the tumor. This could be misleading in many ways, e.g., when the main bulk of the tumor consists of non-tumorigenic cells that are more easily killed. PET imaging for the treatment response has many advantages because it is noninvasive, repeatable and permits the investigation of the whole tumor burden in the body. To further investigate the AT13387 treatment response, repeated PET analysis could be beneficial because the drug-induced effects on biomarkers are temporary, as shown in Paper IV. We believe that treatment follow-up with suitable PET tracers, such as mAb Cetuximab or even smaller conjugates, is likely to be an important method for estimating the duration of the treatment effect as well as for defining personalized drug doses and sched46 ules. Furthermore, imaging of response biomarkers has the potential to serve as an early indicator of treatment adaptation and the development of resistance. 47 48 Concluding remarks This thesis has focused on new diagnostic biomarkers and on radiosensitization strategies following HSP90 inhibition as a step towards more personalized cancer medicine. A specific focus has been the screening for novel molecular targets such as CD44 exon variants, which were found to provide unique expression patterns in squamous cell carcinoma cells. Furthermore, several new radioconjugates that were tailored to target CD44v6 were evaluated in vitro and in vivo in terms of their specificity, biodistribution and imaging performance. The final part of the work presented herein concerns the new targeted chemotherapeutic compound AT13387 and the potential to use it in combination with radiation treatment. The AT13387 investigation provided promising targets for treatment response monitoring and targeted radionuclide therapy. The main findings of the thesis are as follows: • • • • • • • High and homogenous expression of the cell surface protein CD44 and its variants CD44v6 and CD44v7 in HNSCC cell lines Serum starvation increases the amount of aggressive cancer cells, which also displays an increased expression of CD44, CD44v6 and CD44v7 Cells enriched under starvation show increased migration and higher radioresistance in comparison to non-starved cells The novel Fab fragment AbD15179 is specific for CD44v6 with high affinity and retention AbD15179 can be labeled with both 111In and 125I using the chelator CHX-A″-DTPA or a direct labeling approach with chloramine T, respectively with sufficient yield and serum stability and no detectable internalization The labeling chemistry affects performance parameters such as tumor uptake, dissociation rate and tumor to organ ratios. Indium labeling of AbD15179 induces higher uptake with high tumor to blood ratio compared to iodine labeling, which in turn has less uptake in non-target organs like liver, spleen and kidneys. The bivalent fragment AbD19384 is specific for CD44v6 with higher affinity compared to AbD15179 and pronounced retention in vitro 49 • • • • • • • • • • • • • 50 AbD19384 can be successfully labeled with both 125I and 124I using direct labeling with chloramine T and iodogen with sufficient yield and serum stability 125 I-AbD19384 shows favorable biodistribution with a similar tumor and organ uptake pattern as the previously described Fab fragment 125IAbD15179 124 I-AbD19384 is a promising PET tracer showing best imaging qualities after 48 h 124 I-AbD19384 is able to discriminate between CD44v6 high and lowexpressing tumors, which cannot be achieved with the current imaging standard 18F-FDG The HSP90 inhibitor AT13387 is a potent new cancer drug with highly cytotoxic effects on SCC and colon cancer cells Co-treatment of radiation and AT13387 triggers synergistic effects, leading to increased efficacy and tumor cell kill AT13387 decreases cell mobility rates and causes G2/M cell cycle arrest and simultaneous S-phase depletion, without affecting DNA DSB rejoining capacity after radiation exposure AT13387 efficiently downregulates HSP90 and its oncogenic client proteins DNA-PKcs, ATM, EGFR, MET and AKT involved in DNA repair, cell signaling, growth and proliferation The effect of AT13387 on the expression levels of client proteins is transient and recurs after 24 h in the absence of drug exposure CD44v6 is not stabilized by the chaperone HSP90 and therefore is not affected by AT13387 treatment The treatment response of AT13387 can be visualized by targeting EGFR with 124I-Cetuximab using PET/CT to quantify the expression level, whereas the treatment effect cannot be distinguished using the current clinical standard 18F-FDG CD44v6 is a promising target for patient stratification in HNSCC CD44v6 is a promising target for radio-immunotherapy and AT13387 co-treatment due to the lack of downregulation after HSP90 inhibition Future studies We believe that future studies should be directed along several lines of research. First, the results from Paper I must be confirmed and expanded upon using a broader variety of tumor strains and patient material. Such a study should be centered on the large-scale expression analysis of CD44 variant isoforms, which display fingerprint-like features that we anticipate to be associated with distinct patient outcomes. These findings could be used for detection or therapy targeting in a variety of cancer types. All five studies (Papers I-V) presented in this thesis rely on the wellestablished method of cancer cell line cultivation. The use of immortalized cancer cell lines in cancer research is a valuable tool for the investigation of cancer, but this method has many limitations. These limitations include the loss of heterogeneity and of genetic alterations over time with extensive in vitro passaging. The use of primary cancer cells derived from solid clinical specimens collected at the time of surgery could be a useful technique to avoid such pitfalls. Such primary cells can be used in 2D and 3D cell culture experiments as well as in mouse xenografts. Despite the representation of the original specific clinical specimen, another advantage is that such primary cells could be sampled from different locations in the patient, e.g., the primary tumor and a different metastasis. Therefore, the establishment of primary tumor cell models, e.g., HNSCC patients, is an attractive approach for future investigations. Paper II and Paper III demonstrated that radio-immunotargeting of CD44v6 is a promising strategy for early non-invasive diagnosis and HNSCC patient stratification. The investigated conjugates AbD15179 and AbD19384 displayed favorable kinetics, but their targeting properties could be improved. It would be valuable to direct focus toward optimizing the choice of radionuclide and the radiolabeling method. Furthermore, the flexible recombinant origin of AbD19384 might facilitate the development of novel tracers that are adapted either for targeted therapeutic or diagnostic applications, which may help improve the management of head and neck malignancies in the future. The logical continuation of Paper IV is an in vivo therapy study investigating co-treatment with AT13387 and radiation to determine an optimal dose and time schedules to potentiate the combination effect. In such a study, radiation treatment could be administered as an external beam of radi51 ation or in the form of radio-immunotherapy. For this purpose, CD44v6 targeting is promising, because the expression of this molecule is not affected by the inhibition of HSP90. CD44v6 expression has been associated with increased radioresistance, and the targeting of CD44v6 high-expressing cells is of particular interest. Paper V demonstrated that monitoring of EGFR with PET/CT is a novel approach to investigate the treatment response to AT13387. Other EGFR tracers, preferably smaller conjugates could be tested that allow imaging at earlier time points with high tumor uptake rates and improved contrast. Additionally, imaging at different time points could be beneficial. Another appealing approach is to monitor the response of the constitutively auto-phosphorylated EGFR variant EGFRvIII in combination with the inhibition of HSP90. 52 Acknowledgements I would like to thank everyone who has contributed to this thesis. In particular, I would like to thank the following people: Marika Nestor, my supervisor and friend, for your creative ideas, support and inspiring discussions about science, family and life. I appreciate that you always have had time to answer my questions and solve problems, even when you were extremely busy. I truly admire your efficiency and devotion to your work. Your optimism and passion for science is an inspiration! My co-supervisor, Bo Stenerlöw, for welcoming me into your group without any prior knowledge of me. You have taught me a lot about science, and your encouragement has meant a lot to me. Thank you for your wise guidance, caring, patience, kindness and fairness during these years. My co-supervisor, Johan Lennartsson, for making this thesis possible and for introducing me to the people at the Ludwig Institute of Cancer Research. I would like to thank all my collaborators and co-authors. Without you the articles in this thesis would not have been possible, especially the following people: Johan Nilvebrant for a great job with the anti-CD44v6 targeting fragments. Karl Sandström and Anna-Karin Haylock for help with the animal experiments and for showing me how to hold a scalpel and scissors “like a real surgeon”. Olof Eriksson and Ram Kumar Selvaraju for all of the discussions and invaluable assistance with the PET analysis. Jan Siljason for help with immunohistochemistry and the analysis. 53 All of the people who belong in one or the other way to the “former BMS” and Ridgeview crew. Thanks for all our enjoyable discussions at fika and over lunch, the many great parties, funny movies and for making BMS a great place to belong. Because of you, it is fun to go to work every day! Especially to: Jörgen for recruiting me to the BMS team. Vladimir for advice, discussions and help with the experimental setup. Kicki for all of your care, cheerful spirit and love. You have given me the feeling that I have a family here in Sweden. Helene for your valuable help with administration and that I could always talk to you even when it was not so easy for me. Kalle, Hanna, John and Jos for interesting ideas and help with the LigandTracer measurements. Lina and Lovisa for introduction into the obscure world of Western blotting. Sara S, my supervisor, when I started as a Master’s student. Thank you for inspiring discussions and for teaching me ~100 lab techniques in 2 weeks. Ann-Sofie for enjoyable discussions about dogs, cats, horses and children. Amelie for being such an inspiring person; your “can do” attitude sets a high benchmark for us all. Sara A, Mohamed, Dan, Eva, Joanna and Javad for your kindness, friendly chats in the corridor and for always helping me when I needed assistance. Andris, thank you for listening to all of my complaints, for climbing and “fooding”, and for all of the scientific and silly debates. Pavel, thank you for all of the interesting discussions, for always caring and for great company at several conferences. I love going sightseeing with you! Anja and Jonas, you are a real energy boost for our group! Thank you for your support, babysitting and great conference company. Your positive attitude is extremely contagious! 54 My dear friend, Hadis, for going through up’s and down’s over all of these years with me and for the emergency chocolate in your desk drawer. Your smile lightens a gloomy day. Thank you to my colleagues at the Preclinical Pet Platform, Anna, Olof, Veronika, Sergio, Irina, Ram, Marie, Maria, Jennie, Zohreh and Bogdan. I would like to thank “my” project students: Ram, Gamze, Adrian, Agnes and Frida for all the hours you spent in the lab and analyzing data. This thesis is your work, too! I think I have learned as much from you as you from me. Thank you to the UGSBR team for the lovely get-togethers: Hannah, Charlotte, Johan, Anne-Li, Theodora, Xiang and Jennie. To all of my friends in Germany, Sweden and in all other places worldwide, thank you for showing me that there is a life outside the lab! Thank you for discussions, Skype chats, conventions, cooking, baking, watching movies, board games (and letting me win), role playing, running, exercising, ice skating, watching hockey games, climbing, boxing, playing cards, paint ball, badminton, kubb and brännboll, BBQing, shooting, sword fighting, picking berries or mushrooms, traveling, hiking, sumo wrestling or just hanging out. Vielen lieben Dank an meine Familie in Deutschland, für all eure Hilfe und Unterstützung, für unvergessliche Urlaube, Ausflüge, gutes Essen und unzählige Skype-Telefonate. Amelie und Klein-L. Danke, dass es euch gibt und dass ich euch auf eurem Weg begleiten darf. Christer, my love and my best friend. Thank you for your incredible patience, love and support, and for always making me smile. You are the best thing that ever happened to me ♥. 55 References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 56 Jemal, A., et al., Global cancer statistics. CA Cancer J Clin, 2011. 61(2): p. 69-90. Siegel, R., D. Naishadham, and A. Jemal, Cancer statistics, 2012. CA Cancer J Clin, 2012. 62(1): p. 10-29. Siegel, R., et al., Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin, 2012. 62(4): p. 220-41. Hanahan, D. and R.A. Weinberg, Hallmarks of cancer: the next generation. Cell, 2011. 144(5): p. 646-74. Weinberg, R., How cancer arises. Scientific American, 1996. 275(3): p. 62-70. Ian F. Tannock, L.H., Robert G. Bristow, The basic science of oncology, 4th edition. 2005, New Baskerville: McGraw-Hill Companies. Hanahan, D. and R.A. Weinberg, The hallmarks of cancer. Cell, 2000. 100(1): p. 57-70. Jordan, C.T., M.L. Guzman, and M. Noble, Cancer Stem Cells. N Engl J Med, 2006. 355(12): p. 1253-1261. Leemans, C.R., B.J. Braakhuis, and R.H. Brakenhoff, The molecular biology of head and neck cancer. Nat Rev Cancer, 2011. 11(1): p. 9-22. Belcher, R., et al., Current treatment of head and neck squamous cell cancer. J Surg Oncol, 2014. 110(5): p. 551-74. Patel, K., et al., Heat shock protein 90 (HSP90) is overexpressed in p16negative oropharyngeal squamous cell carcinoma, and its inhibition in vitro potentiates the effects of chemoradiation. Cancer Chemother Pharmacol, 2014. 74(5): p. 1015-22. Spiegelberg, D., et al., Characterization of CD44 variant expression in head and neck squamous cell carcinomas. Tumor Biol, 2014. 35(3): p. 2053-62. de Castro-Carpeno, J., et al., EGFR and colon cancer: a clinical view. Clin Transl Oncol, 2008. 10(1): p. 6-13. Ng, K. and A.X. Zhu, Targeting the epidermal growth factor receptor in metastatic colorectal cancer. Crit Rev Oncol Hematol, 2008. 65(1): p. 820. Huxley, R.R., et al., The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence. Int J Cancer, 2009. 125(1): p. 171-80. Loupakis, F., et al., PTEN expression and KRAS mutations on primary tumors and metastases in the prediction of benefit from cetuximab plus irinotecan for patients with metastatic colorectal cancer. J Clin Oncol, 2009. 27(16): p. 2622-9. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. Hynes, N.E. and H.A. Lane, ERBB receptors and cancer: the complexity of targeted inhibitors. Nat Rev Cancer, 2005. 5(5): p. 341-54. Heinemann, V., et al., Clinical relevance of EGFR- and KRAS-status in colorectal cancer patients treated with monoclonal antibodies directed against the EGFR. Cancer Treat Rev, 2009. 35(3): p. 262-71. Todaro, M., et al., CD44v6 is a marker of constitutive and reprogrammed cancer stem cells driving colon cancer metastasis. Cell stem cell, 2014. 14(3): p. 342-356. Weissleder, R., Molecular imaging in cancer. Science, 2006. 312(5777): p. 1168-71. Bruce Alberts, A.J., Julian Lewis, Martin Raff, Keith Roberts, and Peter Walter, Molecular Biology of the Cell, 4th edition. 2002, New York: Garland Science. Mladenov, E., et al., DNA double-strand break repair as determinant of cellular radiosensitivity to killing and target in radiation therapy. Front Oncol, 2013. 3: p. 113. Eriksson, D. and T. Stigbrand, Radiation-induced cell death mechanisms. Tumor Biol, 2010. 31(4): p. 363-372. De Palma, M. and D. Hanahan, The biology of personalized cancer medicine: facing individual complexities underlying hallmark capabilities. Mol Oncol, 2012. 6(2): p. 111-27. Compton, C., Getting to personalized cancer medicine: taking out the garbage. Cancer, 2007. 110(8): p. 1641-3. Mammatas, L., et al., Molecular imaging of targeted therapies with positron emission tomography: the visualization of personalized cancer care. Cell Oncol (Dordr)., 2014: p. 1-16. Parkinson, D.R., B.E. Johnson, and G.W. Sledge, Making personalized cancer medicine a reality: challenges and opportunities in the development of biomarkers and companion diagnostics. Clin Cancer Res, 2012. 18(3): p. 619-24. Reilly, R., Aiming for a direct hit: combining molecular imaging with targeted cancer therapy. J Nucl Med, 2009. 50(7): p. 1017-1019. James, M.L. and S.S. Gambhir, A Molecular Imaging Primer: Modalities, Imaging Agents, and Applications. Vol. 92. 2012. 897-965. Corcoran, E.B. and R.N. Hanson, Imaging EGFR and HER2 by PET and SPECT: a review. Med Res Rev, 2014. 34(3): p. 596-643. Madsen, M.T., Recent advances in SPECT imaging. J Nucl Med, 2007. 48(4): p. 661-73. Zhang, Y., H. Hong, and W. Cai, PET tracers based on Zirconium-89. Curr Radiopharm, 2011. 4(2): p. 131-9. Nayak, T.K. and M.W. Brechbiel, Radioimmunoimaging with longer-lived positron-emitting radionuclides: potentials and challenges. Bioconjug Chem, 2009. 20(5): p. 825-41. Lee, F.T. and A.M. Scott, Immuno-PET for tumor targeting. J Nucl Med, 2003. 44(8): p. 1282-3. Townsend, D.W., et al., PET/CT today and tomorrow. J Nucl Med, 2004. 45 Suppl 1: p. 4S-14S. Boross, P. and J.H. Leusen, Mechanisms of action of CD20 antibodies. Am J Cancer Res, 2012. 2(6): p. 676-90. 57 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 58 Salaun, P.Y., et al., Phase II trial of anticarcinoembryonic antigen pretargeted radioimmunotherapy in progressive metastatic medullary thyroid carcinoma: biomarker response and survival improvement. J Nucl Med, 2012. 53(8): p. 1185-92. DeNardo, G.L., S.J. DeNardo, and R. Balhorn, Systemic radiotherapy can cure lymphoma: a paradigm for other malignancies? Cancer Biother Radiopharm, 2008. 23(4): p. 383-97. Eriksson, S.E., et al., Sequential radioimmunotherapy with 177Lu- and 211At-labeled monoclonal antibody BR96 in a syngeneic rat colon carcinoma model. Cancer Biother Radiopharm, 2014. 29(6): p. 238-46. Jain, M., et al., Emerging trends for radioimmunotherapy in solid tumors. Cancer Biother Radiopharm, 2013. 28(9): p. 639-50. Chamarthy, M.R. and S.C. Williams, Radioimmunotherapy of nonHodgkin's lymphoma: from the 'magic bullets' to 'radioactive magic bullets'. Yale J Biol Med, 2011. 84(4): p. 391–407. Sofou, S., Radionuclide carriers for targeting of cancer. Int J Nanomedicine, 2008. 3(2): p. 181-99. Kelkar, S.S. and T.M. Reineke, Theranostics: combining imaging and therapy. Bioconjug Chem, 2011. 22(10): p. 1879-903. Baum, R.P. and H.R. Kulkarni, THERANOSTICS: From Molecular Imaging Using Ga-68 Labeled Tracers and PET/CT to Personalized Radionuclide Therapy - The Bad Berka Experience. Theranostics, 2012. 2(5): p. 437-47. Perez, A., et al., CD44 interacts with EGFR and promotes head and neck squamous cell carcinoma initiation and progression. Oral Oncol, 2013. 49(4): p. 306-13. Marhaba, R. and M. Zöller, CD44 in Cancer Progression: Adhesion, Migration and Growth Regulation. J Mol Histol, 2004. 35(3): p. 211-231. Prince, M.E., et al., Identification of a subpopulation of cells with cancer stem cell properties in head and neck squamous cell carcinoma. Proc Natl Acad Sci U S A, 2007. 104(3): p. 973-8. Wielenga, V.J.M., et al., Expression of CD44 Variant Proteins in Human Colorectal Cancer Is Related to Tumor Progression. Cancer Res, 1993. 53(20): p. 4754-4756. Sahlberg, S.H., et al., Evaluation of cancer stem cell markers CD133, CD44, CD24: association with AKT isoforms and radiation resistance in colon cancer cells. PLoS One, 2014. 9(4): p. e94621. Bhaijee, F., et al., Cancer stem cells in head and neck squamous cell carcinoma: a review of current knowledge and future applications. Head Neck, 2012. 34(6): p. 894-9. Orian-Rousseau, V. and H. Ponta, Perspectives of CD44 targeting therapies. Arch Toxicol, 2015. 89(1): p. 3-14. Uniprot, C. http://www.uniprot.org/uniprot/P16070. [cited 2015 March]. Orian-Rousseau, V., CD44, a therapeutic target for metastasising tumours. Eur J Cancer, 2010. 46(7): p. 1271-7. Heider, K.-H., et al., CD44v6: a target for antibody-based cancer therapy. Cancer Immunol Immunother, 2004. 53(7): p. 567-579. Normanno, N., et al., Epidermal growth factor receptor (EGFR) signaling in cancer. Gene, 2006. 366(1): p. 2-16. 56. 57. 58. 59. 60. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 74. Ciardiello, F. and G. Tortora, EGFR antagonists in cancer treatment. N Engl J Med, 2008. 358(11): p. 1160-74. Mishani, E., et al., Imaging of EGFR and EGFR tyrosine kinase overexpression in tumors by nuclear medicine modalities. Curr Pharm Des, 2008. 14(28): p. 2983-98. Yarden, Y. and M.X. Sliwkowski, Untangling the ErbB signalling network. Nat Rev Mol Cell Biol, 2001. 2(2): p. 127-37. Hong, D., et al., Targeting the molecular chaperone heat shock protein 90 (HSP90): lessons learned and future directions. Cancer Treat Rev, 2013. 39(4): p. 375-387. Den, R. and B. Lu, Heat shock protein 90 inhibition: rationale and clinical potential. Ther Adv Med Oncol, 2012. 4(4): p. 211-218. Subbarao Sreedhar, A., et al., Hsp90 isoforms: functions, expression and clinical importance. FEBS Letters, 2004. 562(1-3): p. 11-15. Jhaveri, K., et al., Heat shock protein 90 inhibitors in the treatment of cancer: current status and future directions. Expert Opin Investig Drugs, 2014. 23(5): p. 611-28. Lu, X., et al., Hsp90 inhibitors and drug resistance in cancer: the potential benefits of combination therapies of Hsp90 inhibitors and other anticancer drugs. Biochem Pharmacol, 2012. 83(8): p. 995-1004. Porter, J.R., C.C. Fritz, and K.M. Depew, Discovery and development of Hsp90 inhibitors: a promising pathway for cancer therapy. Curr Opin Chem Biol, 2010. 14(3): p. 412-20. Tsutsumi, S., K. Beebe, and L. Neckers, Impact of heat-shock protein 90 on cancer metastasis. Future Oncol (London, England), 2009. 5(5): p. 679688. Koga, F., K. Kihara, and L. Neckers, Inhibition of cancer invasion and metastasis by targeting the molecular chaperone heat-shock protein 90. Anticancer res, 2009. 29(3): p. 797-807. Ahsan, A., et al., Wild-type EGFR is stabilized by direct interaction with HSP90 in cancer cells and tumors. Neoplasia (New York, N.Y.), 2012. 14(8): p. 670-677. Falsone, S., et al., A proteomic snapshot of the human heat shock protein 90 interactome. FEBS lett, 2005. 579(28): p. 6350-6354. Lavictoire, S., et al., Interaction of Hsp90 with the nascent form of the mutant epidermal growth factor receptor EGFRvIII. J Biol Chem, 2003. 278(7): p. 5292-5299. Shimamura, T., et al., Hsp90 inhibition suppresses mutant EGFR-T790M signaling and overcomes kinase inhibitor resistance. Cancer Res, 2008. 68(14): p. 5827-5838. Dickson, M. and J.P. Gagnon, Key factors in the rising cost of new drug discovery and development. Nat Rev Drug Discov, 2004. 3(5): p. 417-29. Begley, C.G. and L.M. Ellis, Drug development: Raise standards for preclinical cancer research. Nature, 2012. 483(7391): p. 531-3. Scott, A.M., J.D. Wolchok, and L.J. Old, Antibody therapy of cancer. Nat Rev Cancer, 2012. 12(4): p. 278-87. Wu, A.M., Engineered antibodies for molecular imaging of cancer. Methods, 2014. 65(1): p. 139-47. 59 75. 76. 77. 78. 79. 80. 81. 82. 83. 84. 85. 86. 87. 88. 89. 90. 60 Romer, T., H. Leonhardt, and U. Rothbauer, Engineering antibodies and proteins for molecular in vivo imaging. Curr Opin Biotechnol, 2011. 22(6): p. 882-7. Sharkey, R.M. and D.M. Goldenberg, Targeted therapy of cancer: new prospects for antibodies and immunoconjugates. CA Cancer J Clin, 2006. 56(4): p. 226-43. Ståhl, S., et al., Affinity proteins and their generation. J Chem Technol Biotechnol, 2013. 88(1): p. 25-38. Stroomer, J.W., et al., Safety and biodistribution of 99mTechnetium-labeled anti-CD44v6 monoclonal antibody BIWA 1 in head and neck cancer patients. Clin Cancer Res, 2000. 6(8): p. 3046-55. Postema, E.J., et al., Dosimetric analysis of radioimmunotherapy with 186Re-labeled bivatuzumab in patients with head and neck cancer. J Nucl Med, 2003. 44(10): p. 1690-9. Van Hal, N.L., et al., Sequence variation in the monoclonal-antibody-U36defined CD44v6 epitope. Cancer Immunol Immunother, 1997. 45(2): p. 8892. Colnot, D., et al., Safety, biodistribution, pharmacokinetics, and immunogenicity of 99mTc-labeled humanized monoclonal antibody BIWA 4 (bivatuzumab) in patients with squamous cell carcinoma of the head and neck. Cancer Immunol Immunother, 2003. 52(9): p. 576-582. Tijink, B.M., et al., A phase I dose escalation study with anti-CD44v6 bivatuzumab mertansine in patients with incurable squamous cell carcinoma of the head and neck or esophagus. Clin Cancer Res, 2006. 12(20 Pt 1): p. 6064-72. Riechelmann, H., et al., Phase I trial with the CD44v6-targeting immunoconjugate bivatuzumab mertansine in head and neck squamous cell carcinoma. Oral Oncol, 2008. 44(9): p. 823-9. Nestor, M.V., Targeted radionuclide therapy in head and neck cancer. Head & neck, 2010. 32(5): p. 666-678. Colnot, D.R., et al., Reinfusion of unprocessed, granulocyte colonystimulating factor-stimulated whole blood allows dose escalation of 186Relabeled chimeric monoclonal antibody U36 radioimmunotherapy in a phase I dose escalation study. Clin Cancer Res, 2002. 8(11): p. 3401-6. Borjesson, P.K., et al., Radiation dosimetry of 89Zr-labeled chimeric monoclonal antibody U36 as used for immuno-PET in head and neck cancer patients. J Nucl Med, 2009. 50(11): p. 1828-36. Sandstrom, K., et al., A novel CD44v6 targeting antibody fragment with improved tumor-to-blood ratio. Int J Oncol, 2012. 40(5): p. 1525-32. Nilvebrant, J., et al., Selection and in vitro characterization of human CD44v6-binding antibody fragments. Biotechnol Appl Biochem, 2012. 59(5): p. 367-80. Milenic, D.E., et al., Cetuximab: preclinical evaluation of a monoclonal antibody targeting EGFR for radioimmunodiagnostic and radioimmunotherapeutic applications. Cancer Biother Radiopharm, 2008. 23(5): p. 619-31. Nayak, T., et al., PET imaging of HER1-expressing xenografts in mice with 86Y-CHX-A″-DTPA-cetuximab. Eur J Nucl Med Mol Imaging, 2010. 37(7): p. 1368-1376. 91. 92. 93. 94. 95. 96. 97. 98. 99. 100. 101. 102. 103. 104. 105. Perk, L.R., et al., 89Zr as a PET Surrogate Radioisotope for Scouting Biodistribution of the Therapeutic Radiometals 90Y and 177Lu in TumorBearing Nude Mice After Coupling to the Internalizing Antibody Cetuximab. J Nucl Med, 2005. 46(11): p. 1898-1906. Cai, W., et al., Quantitative PET of EGFR expression in xenograft-bearing mice using 64Cu-labeled cetuximab, a chimeric anti-EGFR monoclonal antibody. Eur J Nucl Med Mol Imaging, 2007. 34(6): p. 850-8. van Dijk, L.K., et al., 111In-Cetuximab-F(ab')2 SPECT and 18F-FDG PET for Prediction and Response Monitoring of Combined-Modality Treatment of Human Head and Neck Carcinomas in a Mouse Model. J Nucl Med, 2015. 56(2): p. 287-92. Sandstrom, K., et al., Improved tumor-to-organ ratios of a novel 67Gahuman epidermal growth factor radionuclide conjugate with preadministered antiepidermal growth factor receptor affibody molecules. Cancer Biother Radiopharm, 2011. 26(5): p. 593-601. Capala, J., et al., Radiolabeling of epidermal growth factor with 99mTc and in vivo localization following intracerebral injection into normal and glioma-bearing rats. Bioconjug Chem, 1997. 8(3): p. 289-95. Cornelissen, B., et al., ErbB-2 blockade and prenyltransferase inhibition alter epidermal growth factor and epidermal growth factor receptor trafficking and enhance (111)In-DTPA-hEGF Auger electron radiation therapy. J Nucl Med, 2011. 52(5): p. 776-83. Velikyan, I., Å. Sundberg, and Ö. Lindhe, Preparation and evaluation of 68Ga-DOTA-hEGF for visualization of EGFR expression in malignant tumors. J Nucl Med, 2005. 46(11): p. 1881-1888. Li, W., et al., PET imaging of EGF receptors using [18F]FBEM-EGF in a head and neck squamous cell carcinoma model. Eur J Nucl Med Mol Imaging, 2012. 39(2): p. 300-8. Orlova, A., et al., Update: affibody molecules for molecular imaging and therapy for cancer. Cancer Biother Radiopharm, 2007. 22(5): p. 573-84. Tolmachev, V., et al., Imaging of EGFR expression in murine xenografts using site-specifically labelled anti-EGFR 111In-DOTA-ZEGFR: 2377 Affibody molecule: aspect of the injected tracer amount. Eur J Nucl Med Mol Imaging, 2010. 37(3): p. 613-622. Gan, H.K., et al., Targeting of a conformationally exposed, tumor-specific epitope of EGFR as a strategy for cancer therapy. Cancer Res, 2012. 72(12): p. 2924-30. Sharp, S. and P. Workman, Inhibitors of the HSP90 molecular chaperone: current status. Adv Cancer Res, 2006. 95: p. 323-48. Roe, S.M., et al., Structural basis for inhibition of the Hsp90 molecular chaperone by the antitumor antibiotics radicicol and geldanamycin. J Med Chem, 1999. 42(2): p. 260-6. Vanneman, M. and G. Dranoff, Combining immunotherapy and targeted therapies in cancer treatment. Nat Rev Cancer, 2012. 12(4): p. 237-51. Kabakov, A.E., V.A. Kudryavtsev, and V.L. Gabai, Hsp90 inhibitors as promising agents for radiotherapy. J Mol Med (Berl), 2010. 88(3): p. 2417. 61 106. 107. 108. 109. 110. 111. 112. 113. 114. 115. 116. 117. 118. 119. 120. 121. 62 Hong, D.S., et al., Targeting the molecular chaperone heat shock protein 90 (HSP90): lessons learned and future directions. Cancer Treat Rev, 2013. 39(4): p. 375-87. Kim, T., G. Keum, and A.N. Pae, Discovery and development of heat shock protein 90 inhibitors as anticancer agents: a review of patented potent geldanamycin derivatives. Expert Opin Ther Pat, 2013. 23(8): p. 919-43. Niewidok, N., et al., Hsp90 Inhibitors NVP-AUY922 and NVP-BEP800 May Exert a Significant Radiosensitization on Tumor Cells along with a Cell Type-Specific Cytotoxicity. Transl Oncol, 2012. 5(5): p. 356-369. Kamal, A., et al., A high-affinity conformation of Hsp90 confers tumour selectivity on Hsp90 inhibitors. Nature, 2003. 425(6956): p. 407-10. Samuni, Y., et al., Reactive oxygen species mediate hepatotoxicity induced by the Hsp90 inhibitor geldanamycin and its analogs. Free Radic Biol Med, 2010. 48(11): p. 1559-63. Woodhead, A.J., et al., Discovery of (2,4-dihydroxy-5-isopropylphenyl)-[5(4-methylpiperazin-1-ylmethyl)-1,3-dihydrois oindol-2-yl]methanone (AT13387), a novel inhibitor of the molecular chaperone Hsp90 by fragment based drug design. J Med Chem, 2010. 53(16): p. 5956-69. Kang, M.H., et al., Initial testing (Stage 1) of AT13387, an HSP90 inhibitor, by the pediatric preclinical testing program. Pediatr Blood Cancer, 2012. 59(1): p. 185-8. Shapiro, G.I., et al., First-in-human phase I dose escalation study of a second-generation non-ansamycin HSP90 inhibitor, AT13387, in patients with advanced solid tumors. Clin Cancer Res, 2015. 21(1): p. 87-97. Jhaveri, K., et al., Advances in the clinical development of heat shock protein 90 (Hsp90) inhibitors in cancers. Biochim Biophys Acta, 2012. 1823(3): p. 742-55. Koll, T.T., et al., HSP90 inhibitor, DMAG, synergizes with radiation of lung cancer cells by interfering with base excision and ATM-mediated DNA repair. Mol Cancer Ther, 2008. 7(7): p. 1985-92. Matsumoto, Y., H. Machida, and N. Kubota, Preferential sensitization of tumor cells to radiation by heat shock protein 90 inhibitor geldanamycin. J Radiat Res, 2005. 46(2): p. 215-21. Gandhi, N., et al., Novel Hsp90 inhibitor NVP-AUY922 radiosensitizes prostate cancer cells. Cancer Biol Ther, 2013. 14(4): p. 347-56. Stingl, L., et al., Novel HSP90 inhibitors, NVP-AUY922 and NVP-BEP800, radiosensitise tumour cells through cell-cycle impairment, increased DNA damage and repair protraction. Br J Cancer, 2010. 102(11): p. 1578-91. Machida, H., et al., Geldanamycin, an inhibitor of Hsp90, sensitizes human tumour cells to radiation. Int J Radiat Biol, 2003. 79(12): p. 973-80. Nestor, M., K. Andersson, and H. Lundqvist, Characterization of 111In and 177Lu-labeled antibodies binding to CD44v6 using a novel automated radioimmunoassay. J Mol Recognit, 2008. 21(3): p. 179-83. Stenberg, J., et al., Choice of labeling and cell line influences interactions between the Fab fragment AbD15179 and its target antigen CD44v6. Nucl Med Biol., 2014. 41(2): p. 140-147. Acta Universitatis Upsaliensis Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1085 Editor: The Dean of the Faculty of Medicine A doctoral dissertation from the Faculty of Medicine, Uppsala University, is usually a summary of a number of papers. A few copies of the complete dissertation are kept at major Swedish research libraries, while the summary alone is distributed internationally through the series Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine. (Prior to January, 2005, the series was published under the title “Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine”.) Distribution: publications.uu.se urn:nbn:se:uu:diva-247539 ACTA UNIVERSITATIS UPSALIENSIS UPPSALA 2015
© Copyright 2024