Abstract
The evolution of cancer is a Darwinian process, the composition of cancer cell population varying with time, especially after chemotherapy. Such changes occurring in the genetic landscape of tumours are possibly responsible for the chemotherapeutic resistance. Due to the recent advances in single cellular sequencing, the evolution of cancers can be monitored at the single cellular resolution. We reanalysed a previously published dataset composed of single cell RNAseq data, collected before, during and after the establishment of Paclitaxel tolerance, to identify single cell heterogeneity. We used gene expression analysis, gene expression rank correlation analysis, pathway analysis and mutation analysis to identify within group variations of cancer cells after chemotherapy. We identified a decrease in cancer cell within group diversity during the transition to drug-tolerance. Additionally, we observed high mutation rate in stressed single cells, which suggests genetic instability of cancer cells that could ultimately result in the development of drug resistance. Our analysis carries significant implications for developing personalised and efficient therapeutics against cancer.
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