Single-cell omics data analysis in translational oncology

Cancer consists of (epi)genetically and phenotypically different populations of single cells. This intra-tumor cellular heterogeneity underlies therapeutic resistance to cancer treatment. Thus, deciphering intra-tumor cellular heterogeneity, both in cancer cells and their surrounding stromal cells down to the single-cell resolution is essential to combat therapeutic resistance and to develop more effective cancer drugs. The state-of-art single-cell sequencing technologies is able to simultaneously characterize the genome, transcriptome and epigenome of individual cells, providing a more comprehensive and detailed cellular maps of heterogeneous tumor microenvironment (TME). We thus propose to apply single-cell multi-omics approaches to dissect the role of TME during anti-angiogenic and checkpoint immunotherapies.