New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous information, leading to an increasingly complex decision-making process for optimal treatment of cancer. A great amount of information is collected in organ-specific multidisciplinary tumor boards (MDTBs). By considering the patient’s tumor properties, molecular pathological test results, and comorbidities, the MDTB has to consent an evidence-based treatment decision. Immunotherapies are increasingly important in today’s cancer treatment, resulting in detailed information that influences the decision-making process. Clinical decision support systems can facilitate a better understanding via processing of multiple datasets of oncological cases and molecular genetic information, potentially fostering transparency and comprehensibility of available information, eventually leading to an optimum treatment decision for the individual patient. We constructed a digital patient model based on Bayesian networks to combine the relevant patient-specific and molecular data with depended probabilities derived from pertinent studies and clinical guidelines to calculate treatment decisions in head and neck squamous cell carcinoma (HNSCC). In a validation analysis, the model can provide guidance within the growing subject of immunotherapy in HNSCC and, based on its ability to calculate reliable probabilities, facilitates estimation of suitable therapy options. We compared actual treatment decisions of 25 patients with the calculated recommendations of our model and found significant concordance (Cohen’s κ = 0.505, p = 0.009) and 84% accuracy.

γδ T cells are unique players in shaping immune responses, lying at the intersection between innate and adaptive immunity. Unlike conventional αβ T cells, γδ T cells largely populate non-lymphoid peripheral tissues, demonstrating tissue specificity, and they respond to ligands in an MHC-independent manner. γδ T cells display rapid activation and effector functions, with a capacity for cytotoxic anti-tumour responses and production of inflammatory cytokines such as IFN-γ or IL-17. Their rapid cytotoxic nature makes them attractive cells for use in anti-cancer immunotherapies. However, upon transformation, γδ T cells can give rise to highly aggressive lymphomas. These rare malignancies often display poor patient survival, and no curative therapies exist. In this review, we discuss the diverse roles of γδ T cells in immune surveillance and response, with a particular focus on cancer immunity. We summarise the intriguing dichotomy between pro- and anti-tumour functions of γδ T cells in solid and haematological cancers, highlighting the key subsets involved. Finally, we discuss potential drivers of γδ T-cell transformation, summarising the main γδ T-cell lymphoma/leukaemia entities, their clinical features, recent advances in mapping their molecular and genomic landscapes, current treatment strategies and potential future targeting options.

Im Vergleich zu anderen Krebsentitäten, konnten Patienten mit PDAC bisher kaum von Therapieerfolgen der Präzisionsmedizin profitieren. Um diese Problematik zu adressieren, habe ich eine umfassende molekularbiologische Studie durchgeführt, um prädiktive Biomarker zu identifizieren und die Risikostratifizierung der Patienten zu verfeinern. Mittels gen-spezifischer Sequenzierung und gezielter RNA-Expressionsanalyse wurden 293 R0-resezierte Patienten aus einer multizentrischen Phase-III-Studie untersucht. Ziel der klinischen Studie war der Vergleich von adjuvanter Chemotherapie mit Gemcitabin entweder mit oder ohne Zusatz von Erlotinib. Für meine Arbeit wurden die Patientenproben unter Verwendung einer nicht-negativen Matrixfaktorisierung (NMF) basierend auf ihren Einzelnukleotidvarianten (SNV) und ihren Kopienzahlveränderungen (CNA) gruppiert und auf klinische und molekularbiologische Unterschiede untersucht. Um die biologischen Hintergründe der identifizierten genetischen Besonderheiten zu verstehen, wurden anschließend Zelllinien genetisch modifiziert und in vitro modelliert. Es wurden 1086 SNVs und 4157 CNAs identifiziert. Dabei wiesen 99% aller Patienten mindestens eine genetische Veränderung auf, mit durchschnittlich 18 Aberrationen pro Patient. In Übereinstimmung mit früheren Berichten waren KRAS, TP53, CDKN2A und SMAD4 die am häufigsten betroffenen Gene. Alterationen in diesen Genen konnten in 63-93 % der Fälle nachgewiesen werden. Basierend darauf konnte ich fünf Patientengruppen identifizieren die sich in ihren biologischen Charakteristika unterscheiden und Angriffspunkte für gezielte Therapien bieten. Mittels NMF wurden zudem SMAD4alt MAPK9low als prognostische Biomarker für Erlotinib identifiziert. Anschließende in vitro Experimente zeigten, dass dies nicht auf eine Erhöhung der Erlotinib-Zelltoxizität zurückzuführen ist. Zuletzt definiere ich einen prognostischen Score der genutzt werden kann um das Überleben von R0-resizierten PDAC Patienten abzuschätzen. / In contrast to other cancer entities, PDAC patients have not benefited from recent improvements in precision medicine. To address this gap, I embarked on a comprehensive molecular study to identify predictive biomarkers and refine risk stratification. I performed targeted sequencing and targeted RNA expression analysis of 293 R0-resected patients from a multicenter phase III trial comparing adjuvant chemotherapy of gemcitabine with or without erlotinib. Patients were clustered using non-negative matrix factorization (NMF) based on their single nucleotide variant (SNV) and copy number alteration (CNA) statuses. Overall (OS) and disease-free survival (DFS) were analysed with the multivariate cox hazard and log rank tests. Finally, using a method based on CRISPR/Cas, findings from the patient cohort where modeled in vitro to assess their biological backgrounds. A total of 1,086 SNVs and 4,157 CNAs were found with at least one genetic alteration in 99% of all patients, and an average of 18 aberrations per patient. In line with previous reports, KRAS, TP53, CDKN2A, and SMAD4 were the most frequently affected genes, detected in 63–93 % of cases. In this thesis, I identified five biologically distinct patient subgroups with different actionable lesions that may serve for refined PDAC classification and tailored treatment approaches. NMF based clustering and subsequent differential expression analysis revealed SMAD4alt (SNV and/or CAN in SMAD4) MAPK9low (MAPK9 expression below median) as prognostic erlotinib biomarker. Modeling of SMAD4alt MAPK9low status in vitro showed that the effect is not based on increased erlotinib toxicity. Finally, I proposed a genetic risk score for prognostic evaluation of newly diagnosed R0-resected PDAC patients.

Castration-resistant prostate cancer (CRPC) remains an aggressive incurable disease in men mainly due to treatment resistance. Current treatments do not effectively eradicate cancer stem cells (CSCs), which play a pivotal role in tumour maintenance, progression and drug resistance. Aldehyde dehydrogenases (ALDHs) have been used in some tumour types as CSC markers. Their high expression and high functional activity found in CSCs is also associated with drug resistance. Emerging evidence suggests deregulation of certain ALDH isoforms have implications in cancer. The role of ALDHs in prostate cancer as potential biomarkers and therapeutic targets has not been fully explored yet. Accordingly, this study investigated the expression, regulation and function of selected ALDH isoforms in prostate cancer. This study showed that ALDH1A3, ALDH1B1, ALDH2 and ALDH7A1 are highly expressed in primary prostate cancer cells (n=9) compared to benign (n=9) prostate cells. The expression of ALDH1A3 was high in the stem cells (SCs) (n=3) as well as the more differentiated counterparts (n=16). Treatment of both benign and malignant primary prostate cancer cells with all-trans retinoic acid (atRA) also resulted in increased expression of ALDH1A3 and ALDH3A1, supporting a feedback loop between atRA and ALDHs. Furthermore, SerBob, Bob and LNCaP cells were sensitive to treatment with epigenetic drugs and led to significantly higher expression of ALDH1A2, ALDH3A1 and ALDH7A1 respectively. Importantly, siRNA suppression of ALDH1A3 and ALDH7A1 led to reduced SC properties of primary prostate cultures including reduced cell viability, migration and colony formation, and increased differentiation of transit amplifying (TA) cells to committed basal (CB) cells. Novel ALDH-affinic probes showed reduced cell viability of primary prostate epithelial cultures as a single agent and also when used in combination with docetaxel. The results indicate the potential of using ALDH-affinic compounds as single agents for therapeutic intervention or in combination with docetaxel to sensitise resistant cells to this anticancer drug. The data in this thesis provides novel findings, which supports ALDH1A2, -1A3 and -7A1 as potential biomarkers and/or therapeutic targets for drug intervention. Although, a study analysing a larger number of samples is necessary to fully understand ALDH isoform expression in CSC, TA and CB cells it is envisaged that an ALDH-targeted therapy have potential in future treatment strategies for prostate cancer. / Prostate Cancer UK

No description available.

No description available.

Glioblastoma is the most commonly diagnosed central nervous system primary malignancy and it is considered a terminal diagnosis with few treatment options available. Glioblastoma tumors frequently develop treatment resistance due in part to their highly heterogenic nature. The heterogeneity of glioblastoma is partially attributed to the presence of glioma stem-like cells (GSC), which are highly invasive and resistant to chemotherapy and irradiation treatments. Signaling of the receptor tyrosine kinase MET is a known regulator of GSC. Glioblastoma patients have an increasingly poor prognosis that corresponds with increasing MET expression. Both GSC and MET are known to contribute to treatment resistance in glioblastoma and several MET alterations have been observed in glioblastoma. In these studies, we investigated MET alterations that are commonly found in glioblastoma. Using patient-derived xenograft (PDX) lines, the MET alterations were characterized and confirmed to be MET positive, MET amplified, or harbor a PTPRZ1-MET fusion. We also included a MET null glioblastoma PDX line. The PDX lines demonstrated markers for GSC potential with all showing neurosphere formation, the ability to initiate tumor growth in immune-compromised mice, and expression of GSC markers GFAP, Sox2, and nestin. The MET alterations were further examined by examining tyrosine kinase inhibitors' effect on viability and MET signaling. Oncogene addiction through MET amplification was found to have the best response to inhibition. The MET fusion bearing line demonstrated less sensitivity to inhibition than has been shown in other studies, indicating a need for further research into co-mutations that increase sensitivity to MET inhibition. We also investigated the efficacy of novel MET-targeting chimeric antigen receptor T cells (MET.CART cells). The MET.CART cells were able to specifically target and successfully kill MET-expressing glioblastoma cells. Together these results imply the need for more personalized treatment of glioblastoma based on the molecular biology of the tumor.

No / The identification of an agent that is selectively activated by a cytochrome P450 (CYP) has the potential for tissue specific dose intensification as a means of significantly improving its therapeutic value. Towards this goal, we disclose evidence for the pathway of activation of a duocarmycin analogue, ICT2700, which targets CYP1A1 for biological activity.

Deregulated activation of phosphatidylinositol 3-kinase (PI3K) pathway is central to many human malignancies. The functions of this pathway are critical for normal cell metabolism, proliferation, and survival. In lung cancers, the PI3K pathway activity is often aberrantly driven by multiple mutations, including EGFR, KRAS, and PIK3CA. Molecules targeting the PI3K pathway are intensely investigated as potential anti-cancer agents. Although inhibitors of the pathway are currently in clinical trials, rational and targeted use of these compounds, alone or in combination, requires an understanding of isoform-specific activity in context. We sought to identify class IA PI3K enzyme (p110a/PIK3CA, p110b/PIK3CB, p110d/PIK3CD) activities using isoform-specific inhibitors in a lung cancer model system. Treatment of non-small cell lung cancer (NSCLC) cell lines with PIK3CA, PIK3CB, PIK3CD or PIK3CB/D inhibitors resulted in pharmacokinetic and pharmacodynamic responses that frequently tracked with a specific mutation status. Activation of PIK3CA dictated response to the PIK3CA-specific inhibitor while deletion of PTEN phosphatase indicated response to the PIK3CB inhibitor. The PIK3CD isoform-specific inhibitors lacked efficacy in all NSCLC cell lines tested, however treatment at increased concentrations likely provide concurrent inhibition of both PIK3CB/D isoforms improving activity of either agent alone but did not track with a single biomarker. The observed pharmacodynamic and proliferation responses to isoform-specific inhibitors suggested that PI3K isoforms may functionally compensate for loss of another in certain genetic backgrounds. These studies demonstrate unanticipated cellular responses to PI3K isoform inhibition in NSCLC, suggesting that patient populations with specific mutations can benefit from certain isoform-selective inhibitors, or combinations, allowing for rational and targeted clinical use of these agents.

Melanomas are one of the most aggressive types of tumours, with increasing incidence, high mortality and high potential to metastasize to a variety of diverse locations. The aim of this thesis was to study the tumour as a complex structure consisting not only of tumour cells but also of tumour stroma. Stromal cells play a major role in cancer biology. This is well documented for example in squamous cell epithelium tumours of the head and neck. Similar mechanisms can be expected to occur in melanomas. In the first experiment, we simulated the conditions in vivo during the metastatic process and studied the influence of non-adhesive environment both with and without the influence of stromal fibroblasts. The presented data demonstrates a change of tumour cells' phenotype leading to increased plasticity of the melanoma cells in these conditions. It also indicates the crucial role of stromal fibroblasts in interactions with melanoma cells. Cancer cell lines show variability in their behaviour, which is in accordance with well-known melanoma heterogeneity in clinical practice. The previous experiments in our laboratory indicate that cancer associated fibroblasts are able to influence the phenotype of a tumour cell line and this effect is based on a tumour type-unspecific mechanism. In the second part of...