Background: Human head and neck squamous cell carcinoma (HNSCC) fundamentally vary in their susceptibility to different cytotoxic drugs and treatment modalities. There is at present no clinically accepted test system to predict the most effective therapy for an individual patient. Methods: Therefore, we established tumor-derived slice cultures which can be kept in vitro for at least six days. Upon treatment with cisplatin, docetaxel and cetuximab, slices were fixed and paraffin sections were cut for histopathological analysis. Results: Apoptotic fragmentation, activation of caspase 3, and cell loss were observed in treated tumor slices. Counts of nuclei per field in untreated compared to treated slices deriving from the same tumor allowed estimation of the anti-neoplastic activity of individual drugs on an individual tumor. Conclusion: HNSCC-derived slice cultures survive well in vitro and may serve to improve personalized therapies, but also to detect mechanisms of tumor resistance by harvesting surviving tumor cells after treatment.

Multiple Myeloma (MM) is a treatable, yet incurable, malignancy of bone marrowplasma cells. This cancer affects many patients and many succumb to relapse of tumor burden despite a large number of available chemotherapeutic agents developed for therapy. This is because MM tumors are heterogeneous and receive protection from therapeutic agents by the microenvironment and other mechanisms including homologous MM-MM aggregation. Therefore, therapy failure and frequent patient relapse is due to the evolution of drug resistance, not a lack of available drugs. To analyze and understand this problem, the evolution of drug resistance has been explored and presented herein. We seek to describe the methods through which MM cells become resistant to therapy, and how this resistance evolves throughout a patient’s treatment history. We achieve this in five steps. First we review the patient’s clinical history, including treatments and changes in tumor burden. Second, we trace the evolutionary tree of sub-clones within the tumor burden using standard of care fluorescence in situ hybridization (FISH). Thirdly, immunohistochemistry slides are stained and aligned to quantify the level of environmental protection received by surrounding cells and plasma in the bone marrow microenvironment (coined environment mediated drug resistance score [EMDR]). The fourth analysis type is produced through a novel 384-well plate ex vivo chemosensitivity assay to quantify sensitivity of primary MM cells to chemotherapeutic agents and extrapolate these findings to 90-day clinical response predictions. In addition to direct clinical application in the choice of best treatment, this tool was also used to study changes in sensitivity of patient tumors to other drugs, and it was observed that, upon relapse, in addition to developing resistance to the current line of therapy, tumors become cross-resistant to agents that they were never exposed to. Finally, MM-MM homologous aggregation is quantified to assess the level of drug resistance contributed by clustering of patient tumor cells, which causes upregulation of Bcl-2 expression and other resistance mechanisms1. The findings of such experimentation improve comprehension of the driving factors that contribute to drug resistance evolution on a personalized treatment basis. The aforementioned factors all contribute in varying degrees for unique patient cases, seven of which are presented in depth for this project. In summary: Environmental protection plays a critical initial role in drug resistance, which is followed by increase in tumor genetic heterogeneity as a result of mutations and drug-induced Darwinian selection. Eventually, environment-independent drug resistant subpopulations emerge, allowing the tumor to spread to unexplored areas of the bone marrow while maintaining inherited drug resistant phenotype2. It is our hope that these findings will help in shifting perspective regarding optimal management of MM by finding new therapeutic procedures that address all aspects of drug resistance to minimize chance of relapse and improve quality of life for patients.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第21419号 / 医博第4409号 / 京都大学大学院医学研究科医学専攻 / (主査)教授 武藤 学, 教授 小川 誠司, 教授 万代 昌紀 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Background: Human head and neck squamous cell carcinoma (HNSCC) fundamentally vary in their susceptibility to different cytotoxic drugs and treatment modalities. There is at present no clinically accepted test system to predict the most effective therapy for an individual patient. Methods: Therefore, we established tumor-derived slice cultures which can be kept in vitro for at least six days. Upon treatment with cisplatin, docetaxel and cetuximab, slices were fixed and paraffin sections were cut for histopathological analysis. Results: Apoptotic fragmentation, activation of caspase 3, and cell loss were observed in treated tumor slices. Counts of nuclei per field in untreated compared to treated slices deriving from the same tumor allowed estimation of the anti-neoplastic activity of individual drugs on an individual tumor. Conclusion: HNSCC-derived slice cultures survive well in vitro and may serve to improve personalized therapies, but also to detect mechanisms of tumor resistance by harvesting surviving tumor cells after treatment.

Gastric cancer is a leading cause of cancer death worldwide. Systemic treatment comprising chemotherapy and targeted therapy is the standard of care in advanced/metastatic gastric cancer. Comprehensive molecular characterization of gastric adenocarcinomas by the TCGA Consortium and ACRG has resulted in the definition of distinct molecular subtypes. These efforts have in parallel built a basis for the development of novel molecularly stratified treatment approaches. Based on this molecular characterization, an increasing number of specific genomic alterations can potentially serve as treatment targets. Consequently, the development of promising compounds is ongoing. In this review, key molecular alterations in gastric and gastroesophageal junction cancers will be addressed. Finally, the current status of the translation of targeted therapy towards clinical applications will be reviewed.

Introduction: Together with the introduction of new therapeutic options in castration- resistant prostate cancer (CRPC), an advance in individual disease characterization is required. Since common biopsy methods are not suitable for the majority of CRPC patients, one possible solution is the liquid biopsy that is, the analysis of circulating tumor cells (CTCs) isolated from the cancer patients' blood. Methods: A method based on the immunomagnetic enrichment of CTCs and subsequent PCR detection of tumor-associated genes (AdnaTest, Qiagen) was characterized and used for the detection of CTCs in 41 CRPC patients. Each patient was screened at the time of CRPC diagnosis and after the 3rd cycle of docetaxel therapy. A panel of genes associated with therapeutic decision-making was established and validated. Quantitative PCR (qPCR) method on a BioMark platform (Fluidigm, USA) was used to determine the expression of the gene panel in the CTC-enriched and primary tumor samples and the results were analyzed. Results: CTCs were found in 85% and 45% of CRPC patients before and during the therapy, respectively. The presence of CTCs, as well as EGFR and AR PCR fragments, was associated with a decreased sPSA response and lower survival. The gene expression of the CTC- enriched and primary tumor samples differed...

Un modèle de croissance et de réponse à la radiothérapie pour le glioblastome multiforme (GBM) basé le formalisme du modèle de prolifération-invasion (PI) et du modèle linéaire-quadratique a été développé et implémenté. La géométrie spécifique au patient est considérée en modélisant, d'une part, les voies d'invasion possibles des GBM avec l'imagerie du tenseur de diffusion (DTI) et, d'autre part, les barrières à la propagation à partir des images anatomiques disponibles. La distribution de dose réelle reçue par un patient donné est appliquée telle quelle dans les simulations, en respectant l'horaire de traitement. Les paramètres libres du modèle (taux de prolifération, coefficient de diffusion, paramètres radiobiologiques) sont choisis aléatoirement à partir de distributions de valeurs plausibles. Un total de 400 ensembles de valeurs pour les paramètres libres sont ainsi choisis pour tous les patients, et une simulation de la croissance et de la réponse au traitement est effectuée pour chaque patient et chaque ensemble de paramètres. Un critère de récidive est appliqué sur les résultats de chaque simulation pour identifier un lieu probable de récidive (SPR). La superposition de tous les SPR obtenus pour un patient donné permet de définir la probabilité d'occurrence (OP). Il est démontré qu'il existe des valeurs de OP élevées pour tous les patients, impliquant que les résultats du modèle PI ne sont pas très sensibles aux valeurs des paramètres utilisés. Il est également démontré comment le formalisme développé dans cet ouvrage pourrait permettre de définir un volume cible personnalisé pour les traitements de radiothérapie du GBM. / We have developed and implemented a model of growth and response to radiotherapy for glioblastoma multiforme (GBM) based on the proliferation-invasion (PI) formalism and linear-quadratic model. We take into account patient-specific geometry to model the possible invasion pathways of GBM with diffusion tensor imaging (DTI) and the barriers to dispersal from anatomical images available. The actual dose distribution received by a given patient is applied as such in the simulation, respecting the treatment schedule. The free parameters in the model (proliferation rate, diffusion coefficient, radiobiological parameters) are randomly chosen from a distribution of plausible values. A total of 400 sets of values for the free parameters are thus chosen for all patients, and a simulation of the growth and the response to treatment is performed for each patient and each set of parameters. A failure criterion is applied to the results of each simulation to identify a site of potential recurrence (SPR). The superposition of all SPR obtained for a given patient defines the occurrence probability (OP). We show that high OP values exist for all patients and conclude that the PI model results are not very sensitive to the values of the parameters used. Finally, we show how the formalism developed in this work could help to define a custom target volume for radiation treatment of GBM.