DR-317 Integrated analysis of RNASeq and WGS data to target cancer with precision AI

The genomic mutational landscape observed in cancer cells represents impaired biological mechanisms, especially associated with replication stress response (RSR). Some mutational patterns may be clearly related to the genomic changes observed at the DNA level. The unmet clinical need, however, is how these aberrations affect gene expression, leading to their up/downregulation or how expression is preserved, even if the gene sequence is intact. Therefore, we would like to combine the genomic patterns observed in whole genome sequencing (WGS) data with gene expression (RNASeq) data to reveal key players, whose deficiencies lead to a disruption of a particular DDR mechanism. Moreover, we will provide a deep insight into mutational patterns in regulatory elements.

Pawel Zawadzki, Adam Mickiewicz University in Poznań, Poland