Publication
Colorectal cancer (CRC) is one of the deadliest cancers worldwide. Despite extensive research in the field, new therapies targeting CRC are in urgent need. CRC is a highly heterogeneous disease with high levels of intra- and inter-patient heterogeneity. Cancer stem cells are the driving force of tumor development and metastasis. One of the approaches to treat CRC is differentiation therapy thereby induction of cancer stem cell differentiation may lead to tumor regression. Intestinal normal and cancer organoids represent an ideal model for studying the differentiation process ex vivo. Gene expression profiling of drug-treated organoids can be used for quantification of the differentiation process with high precision. RNA-seq based drug-screening platforms in organoids are not yet established. Here we developed a high-throughput high-content targeted RNA-seq-based platform (TORNADO-seq) for monitoring gene expression of large gene signatures in intestinal organoids which allowed us to quantify and evaluate complex cellular phenotypes and cellular alterations upon drug treatment. We applied TORNADO-seq in drug screening in wt and cancer intestinal organoids. We found many differentiation-inducing drugs in wt organoids, including some drugs specifically enriching for certain cell phenotypes, e.g. enteroendocrine cells. Further, we applied identified differentiation-inducing drugs to cancer organoids (APClof;KRASG12D;TP53lof) and discovered that the majority of those differentiation-inducing drugs also targeted cancer organoids. Differentiation induction seems to be a common mode of action of cancer-targeting drugs. Based on gene expression profiles of treated cancer organoids, we were able to propose and confirm the mechanism of action of several drugs indicating that cancer cells may to be sensitive to alterations in the cholesterol biosynthesis pathway. In general, utilization of TORNADO-seq allows predicting connections between cellular phenotypes and signaling pathways in organoids which can be used for hypothesis generation in a variety of biological systems. The second part of the thesis is devoted to the investigation of mechanisms underlying the accumulation of genetic alterations in CRC tumors. It is not known whether cancer driver genes affect the rate of mutation acquisition. Here we performed exome sequencing of single cell-derived organoids obtained from tumors with either APClof, APClof;KRASG12D or APClof;KRASG12D;TP53lof mutation phenotypes that reflect early stages of CRC development. We discovered that presence of KRAS and P53 mutations didn't affect the number of single nucleotide substitutions (SNSs) in tumors, while the latter was increased in APC mutated tumors compared to wt cells and was highly correlated with the tumor age. P53 inactivation was highly correlated with the presence of large-scale (>10 Mb) copy number alterations (CNAs).