@article{RascheKortuemRaabetal.2019, author = {Rasche, Leo and Kort{\"u}m, K. Martin and Raab, Marc S. and Weinhold, Niels}, title = {The impact of tumor heterogeneity on diagnostics and novel therapeutic strategies in multiple myeloma}, series = {International Journal of Molecular Sciences}, volume = {20}, journal = {International Journal of Molecular Sciences}, number = {5}, issn = {1422-0067}, doi = {10.3390/ijms20051248}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285402}, year = {2019}, abstract = {Myeloma is characterized by extensive inter-patient genomic heterogeneity due to multiple different initiating events. A recent multi-region sequencing study demonstrated spatial differences, with progression events, such as TP53 mutations, frequently being restricted to focal lesions. In this review article, we describe the clinical impact of these two types of tumor heterogeneity. Target mutations are often dominant at one site but absent at other sites, which poses a significant challenge to personalized therapy in myeloma. The same holds true for high-risk subclones, which can be locally restricted, and as such not detectable at the iliac crest, which is the usual sampling site. Imaging can improve current risk classifiers and monitoring of residual disease, but does not allow for deciphering the molecular characteristics of tumor clones. In the era of novel immunotherapies, the clinical impact of heterogeneity certainly needs to be re-defined. Yet, preliminary observations indicate an ongoing impact of spatial heterogeneity on the efficacy of monoclonal antibodies. In conclusion, we recommend combining molecular tests with imaging to improve risk prediction and monitoring of residual disease. Overcoming intra-tumor heterogeneity is the prerequisite for curing myeloma. Novel immunotherapies are promising but research addressing their impact on the spatial clonal architecture is highly warranted.}, language = {en} } @phdthesis{Mainz2022, author = {Mainz, Laura}, title = {Cellular metabolism as target for cancer therapy}, doi = {10.25972/OPUS-21148}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211480}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2022}, abstract = {Due to a usually late diagnosis, drug resistance and early metastases, pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of global cancer deaths. Thus, there is an urgent need to develop new therapeutic concepts. Two different approaches have in recent years become the focus of intense research: (1) targeting cancer-associated metabolic rearrangements, and (2) targeting genetic vulnerabilities with combination therapy. Both concepts potentially have advantages such as increased efficacy, which decreases the likelihood of therapy-resistance, and reduced side effects, that are often associated with high concentrations of chemotherapeutic drugs. Autophagy is an evolutionary conserved signalling pathway that regulates cellular homeostasis. Regarding cancer, autophagy can either promote or suppress tumor growth. However, mouse models that allow genetic regulation of autophagy in established tumor tissue are not yet established. Therefore, we analysed new inducible shRNA mouse models targeting Atg5 or Atg7 with regard to functionality and toxicity. Both, shRNA Atg5- and shRNA Atg7-mediated knockdown anteceded functional autophagy impairment, and revealed unexpected profound phenotypic differences. Knockdown of Atg5 neither impaired the animal nor caused any grossly or microscopically detectable organ damage, whereas knockdown of Atg7 caused pancreatic destruction and eventually death. It is currently unclear whether mice died as a result of exocrine or endocrine collapse or due to a combination of both. The presented mouse models are highly potent RNAi mice that allow widespread and regulable inhibition of autophagy upon administration of doxycycline and provide a valuable and versatile toolbox for future autophagy and cancer research. In PDAC, argininosuccinate synthase 1 (ASS1) deficiency has been associated with higher recurrence rates, shorter disease-free survival, and shorter overall survival. During cancer development, rate-limiting enzymes of de novo arginine synthesis, like ASS1 or OTC, are downregulated via epigenetic silencing of their respective promotor. Known as 'arginine auxotrophy', loss of these essential enzymes results in dependence on extracellular arginine. Based on this assumption, sensitivity of various cell lines to arginine deprivation was reported. However, the underlying mechanism is still unclear and the anti-tumor effects of the monotherapy are not sufficient to completely abrogate cancer cells. Therefore, the effects of arginine deprivation via rhArgI-PEG5000 were investigated in murine and human PDAC cells. In this study, we highlighted that arginine deprivation induced profound alterations such as autophagosome accumulation, induction of senescence and the ISR in pancreatic cancer cells. These alterations are potential genetic vulnerabilities that can be targeted by additional means to induce tumor cell death.}, language = {en} } @article{LoehrHaertigSchulzeetal.2022, author = {L{\"o}hr, Mario and H{\"a}rtig, Wolfgang and Schulze, Almut and Kroiß, Matthias and Sbiera, Silviu and Lapa, Constantin and Mages, Bianca and Strobel, Sabrina and Hundt, Jennifer Elisabeth and Bohnert, Simone and Kircher, Stefan and Janaki-Raman, Sudha and Monoranu, Camelia-Maria}, title = {SOAT1: A suitable target for therapy in high-grade astrocytic glioma?}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {7}, issn = {1422-0067}, doi = {10.3390/ijms23073726}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284178}, year = {2022}, abstract = {Targeting molecular alterations as an effective treatment for isocitrate dehydrogenase-wildtype glioblastoma (GBM) patients has not yet been established. Sterol-O-Acyl Transferase 1 (SOAT1), a key enzyme in the conversion of endoplasmic reticulum cholesterol to esters for storage in lipid droplets (LD), serves as a target for the orphan drug mitotane to treat adrenocortical carcinoma. Inhibition of SOAT1 also suppresses GBM growth. Here, we refined SOAT1-expression in GBM and IDH-mutant astrocytoma, CNS WHO grade 4 (HGA), and assessed the distribution of LD in these tumors. Twenty-seven GBM and three HGA specimens were evaluated by multiple GFAP, Iba1, IDH1 R132H, and SOAT1 immunofluorescence labeling as well as Oil Red O staining. To a small extent SOAT1 was expressed by tumor cells in both tumor entities. In contrast, strong expression was observed in glioma-associated macrophages. Triple immunofluorescence labeling revealed, for the first time, evidence for SOAT1 colocalization with Iba1 and IDH1 R132H, respectively. Furthermore, a notable difference in the amount of LD between GBM and HGA was observed. Therefore, SOAT1 suppression might be a therapeutic option to target GBM and HGA growth and invasiveness. In addition, the high expression in cells related to neuroinflammation could be beneficial for a concomitant suppression of protumoral microglia/macrophages.}, language = {en} } @article{LoddeForschnerHasseletal.2021, author = {Lodde, Georg and Forschner, Andrea and Hassel, Jessica and Wulfken, Lena M. and Meier, Friedegund and Mohr, Peter and K{\"a}hler, Katharina and Schilling, Bastian and Loquai, Carmen and Berking, Carola and H{\"u}ning, Svea and Schatton, Kerstin and Gebhardt, Christoffer and Eckardt, Julia and Gutzmer, Ralf and Reinhardt, Lydia and Glutsch, Valerie and Nikfarjam, Ulrike and Erdmann, Michael and Stang, Andreas and Kowall, Bernd and Roesch, Alexander and Ugurel, Selma and Zimmer, Lisa and Schadendorf, Dirk and Livingstone, Elisabeth}, title = {Factors influencing the adjuvant therapy decision: results of a real-world multicenter data analysis of 904 melanoma patients}, series = {Cancers}, volume = {13}, journal = {Cancers}, number = {10}, issn = {2072-6694}, doi = {10.3390/cancers13102319}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-239583}, year = {2021}, abstract = {Adjuvant treatment of melanoma patients with immune-checkpoint inhibition (ICI) and targeted therapy (TT) significantly improved recurrence-free survival. This study investigates the real-world situation of 904 patients from 13 German skin cancer centers with an indication for adjuvant treatment since the approval of adjuvant ICI and TT. From adjusted log-binomial regression models, we estimated relative risks for associations between various influence factors and treatment decisions (adjuvant therapy yes/no, TT vs. ICI in BRAF mutant patients). Of these patients, 76.9\% (95\% CI 74-80) opted for a systemic adjuvant treatment. The probability of starting an adjuvant treatment was 26\% lower in patients >65 years (RR 0.74, 95\% CI 68-80). The most common reasons against adjuvant treatment given by patients were age (29.4\%, 95\% CI 24-38), and fear of adverse events (21.1\%, 95\% CI 16-28) and impaired quality of life (11.9\%, 95\% CI 7-16). Of all BRAF-mutated patients who opted for adjuvant treatment, 52.9\% (95\% CI 47-59) decided for ICI. Treatment decision for TT or ICI was barely associated with age, gender and tumor stage, but with comorbidities and affiliated center. Shortly after their approval, adjuvant treatments have been well accepted by physicians and patients. Age plays a decisive role in the decision for adjuvant treatment, while pre-existing autoimmune disease and regional differences influence the choice between TT or ICI.}, language = {en} } @phdthesis{Liang2021, author = {Liang, Raimunde}, title = {Identification of new drug targets in adrenocortical carcinoma through targeted mRNA analysis}, doi = {10.25972/OPUS-23554}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-235545}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2021}, abstract = {Adrenocortical carcinomas (ACC) are aggressive tumors associated with a heterogeneous but generally poor prognosis and limited treatment options for advanced stages. Despite promising molecular insights and improved understanding of ACC biology, efficient targeted therapies have not been identified yet. Thus, this study aims to identify potential new drug targets for a future personalized therapeutic approach. RNA was isolated from 104 formalin-fixed paraffin-embedded tumor samples from ACC patients, 40 of those 104 cases proved to be suitable for further mRNA analyses according to the quality check of the extracted RNA. Gene expression of 84 known cancer drug targets was evaluated by quantitative real-time PCR using 5 normal adrenal glands as reference. Protein expression was investigated for selected candidate drug targets by immunohistochemistry in 104 ACC samples, 11 adenomas and 6 normal adrenal glands. Efficacy of an available inhibitor of the most promising candidate was tested by functional in vitro experiments in two ACC cell lines (NCI-H295R and MUC1) alone or in combination with other drugs. Most frequently overexpressed genes were TOP2A, IGF2, CDK1, CDK4, PLK4 and PLK1. Nuclear immunostaining of CDK1, CDK4 and PLK1 significantly correlated with the respective mRNA expression. CDK4 was chosen as the most promising candidate for functional validation as it is actionable by FDA-approved CDK4/6 inhibitors. ACC samples with copy number gains at CDK4 locus presented significantly higher CDK4 expression levels. The CDK4/6 inhibitor palbociclib showed a concentration- and time- dependent reduction of cell viability in vitro, which was more pronounced in NCI-H295R than in MUC1 cells. This was in line with higher CDK4 expression at western blot analysis in NCI-H295R cells. Furthermore, palbociclib was applied in combination with dual IGFR/IR inhibitor linsitinib showing a synergistic effect on reducing cell viability. In conclusion, this proof-of-principle study confirmed RNA profiling to be useful to discover potential drug targets. Detected drug targets are suitable to be investigated by immunohistochemistry in the clinical setting. Moreover, CDK4/6 inhibitors are promising candidates for treatment of a subset of patients with tumors presenting CDK4 copy number gains and/or overexpression, while linsitinib might be an interesting combination partner in patients with both IGF2 and IGF1R overexpression. These results are intended as a basis for a validation study in a prospective cohort, further evaluation in vivo in suitable mouse models or testing in patients with ACC in clinical trials are needed and might improve the future management of patients with ACC in terms of precision medicine.}, subject = {Adrenokortikales Karzinom}, language = {en} } @phdthesis{Baur2019, author = {Baur, Florentin Philipp}, title = {Establishment of a 3D tumour model and targeted therapy of BRAF-mutant colorectal cancer}, doi = {10.25972/OPUS-17412}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174129}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2019}, abstract = {Cancer remains after cardiovascular diseases the leading cause of death worldwide and an estimated 8.2 million people died of it in 2012. By 2030, 13 million cancer deaths are expected due to the growth and ageing of the population. Hereof, colorectal cancer (CRC) is the third most common cancer in men and the second in women with a wide geographical variation across the world. Usually, CRC begins as a non-cancerous growth leading to an adenomatous polyp, or adenoma, arising from glandular cells. Since research has brought about better understanding of the mechanisms of cancer development, novel treatments such as targeted therapy have emerged in the past decades. Despite that, up to 95\% of anticancer drugs tested in clinical phase I trials do not attain a market authorisation and hence these high attrition rates remain a key challenge for the pharmaceutical industry, making drug development processes enormously costly and inefficient. Therefore, new preclinical in vitro models which can predict drug responses in vivo more precisely are urgently needed. Tissue engineering not only provides the possibility of creating artificial three-dimensional (3D) in vitro tissues, such as functional organs, but also enables the investigation of drug responses in pathological tissue models, that is, in 3D cancer models which are superior to conventional two-dimensional (2D) cell cultures on petri dishes and can overcome the limitations of animal models, thereby reducing the need for preclinical in vivo models. In this thesis, novel 3D CRC models on the basis of a decellularised intestinal matrix were established. In the first part, it could be shown that the cell line SW480 exhibited different characteristics when grown in a 3D environment from those in conventional 2D culture. While the cells showed a mesenchymal phenotype in 2D culture, they displayed a more pronounced epithelial character in the 3D model. By adding stromal cells (fibroblasts), the cancer cells changed their growth pattern and built tumour-like structures together with the fibroblasts, thereby remodelling the natural mucosal structures of the scaffold. Additionally, the established 3D tumour model was used as a test system for treatment with standard chemotherapeutic 5-fluorouracil (5-FU). The second part of the thesis focused on the establishment of a 3D in vitro test system for targeted therapy. The US Food and Drug Administration has already approved of a number of drugs for targeted therapy of specific types of cancer. For instance, the small molecule vemurafenib (PLX4032, Zelboraf™) which demonstrated impressive response rates of 50-80\% in melanoma patients with a mutation of the rapidly accelerated fibrosarcoma oncogene type B (BRAF) kinase which belongs to the mitogen active protein kinase (MAPK) signalling pathway. However, only 5\% of CRC patients harbouring the same BRAF mutation respond to treatment with vemurafenib. An explanation for this unresponsiveness could be a feedback activation of the upstream EGFR, reactivating the MAPK pathway which sustains a proliferative signalling. To test this hypothesis, the two early passage cell lines HROC24 and HROC87, both presenting the mutation BRAF V600E but differing in other mutations, were used and their drug response to vemurafenib and/or gefitinib was assessed in conventional 2D cell culture and compared to the more advanced 3D model. Under 3D culture conditions, both cell lines showed a reduction of the proliferation rate only in the combination therapy approach. Furthermore, no significant differences between the various treatment approaches and the untreated control regarding apoptosis rate and viability for both cell lines could be found in the 3D tumour model which conferred an enhanced chemoresistance to the cancer cells. Because of the observed unresponsiveness to BRAF inhibition by vemurafenib as can be seen in the clinic for patients with BRAF mutations in CRC, the cell line HROC87 was used for further xenografting experiments and analysis of activation changes in the MAPK signalling pathway. It could be shown that the cells presented a reactivation of Akt in the 3D model when treated with both inhibitors, suggesting an escape mechanism for apoptosis which was not present in cells cultured under conventional 2D conditions. Moreover, the cells exhibited an activation of the hepatocyte growth factor receptor (HGFR, c-Met) in 2D and 3D culture, but this was not detectable in the xenograft model. This shows the limitations of in vivo models. The results suggest another feedback activation loop than that to the EGFR which might not primarily be involved in the resistance mechanism. This reflects the before mentioned high attrition rates in the preclinical drug testing.}, subject = {Dickdarmtumor}, language = {en} } @article{BaurNietzerKunzetal.2020, author = {Baur, Florentin and Nietzer, Sarah L. and Kunz, Meik and Saal, Fabian and Jeromin, Julian and Matschos, Stephanie and Linnebacher, Michael and Walles, Heike and Dandekar, Thomas and Dandekar, Gudrun}, title = {Connecting cancer pathways to tumor engines: a stratification tool for colorectal cancer combining human in vitro tissue models with boolean in silico models}, series = {Cancers}, volume = {12}, journal = {Cancers}, number = {1}, issn = {2072-6694}, doi = {10.3390/cancers12010028}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193798}, pages = {28}, year = {2020}, abstract = {To improve and focus preclinical testing, we combine tumor models based on a decellularized tissue matrix with bioinformatics to stratify tumors according to stage-specific mutations that are linked to central cancer pathways. We generated tissue models with BRAF-mutant colorectal cancer (CRC) cells (HROC24 and HROC87) and compared treatment responses to two-dimensional (2D) cultures and xenografts. As the BRAF inhibitor vemurafenib is—in contrast to melanoma—not effective in CRC, we combined it with the EGFR inhibitor gefitinib. In general, our 3D models showed higher chemoresistance and in contrast to 2D a more active HGFR after gefitinib and combination-therapy. In xenograft models murine HGF could not activate the human HGFR, stressing the importance of the human microenvironment. In order to stratify patient groups for targeted treatment options in CRC, an in silico topology with different stages including mutations and changes in common signaling pathways was developed. We applied the established topology for in silico simulations to predict new therapeutic options for BRAF-mutated CRC patients in advanced stages. Our in silico tool connects genome information with a deeper understanding of tumor engines in clinically relevant signaling networks which goes beyond the consideration of single drivers to improve CRC patient stratification.}, language = {en} }