Assessment of the Degree of Coincidence between Differentially Expressed Genes in Pancreatic Cancer with and without CAR T Cell treatment

Abstract

Treatment of cancer with CAR T Cells has steadily become a viable and promising cellular therapy approach in recent years. It is well known that liquid cancers are better suited for this kind of treatment, as opposed to solid cancers. This work focuses on contrasting lists of differentially expressed genes (DEGs) found in pancreatic cancer -a solid cancer-against lists of DEGs found in post-CAR T Cell treatment of pancreatic cancer. It is postulated that the degree of coincidence in these lists could positively correlate with treatment effectiveness. OBAMA, a proprietary mathematical optimization-based analysis pipeline that minimizes user selection bias is employed here to preserve objectivity. The study utilized publicly available microarray experiments. The results indicate overall low degrees of coincidence, which partially support the postulate of this work.