2 research outputs found
Intratumoral heterogeneity and clonal evolution in liver cancer
Clonal evolution of a tumor ecosystem depends on different selection pressures that are
principally immune and treatment mediated. We integrate RNA-seq, DNA sequencing, TCRseq and SNP array data across multiple regions of liver cancer specimens to map
spatio-temporal interactions between cancer and immune cells. We investigate how these
interactions reflect intra-tumor heterogeneity (ITH) by correlating regional neo-epitope and
viral antigen burden with the regional adaptive immune response. Regional expression of
passenger mutations dominantly recruits adaptive responses as opposed to hepatitis B virus
and cancer-testis antigens. We detect different clonal expansion of the adaptive immune
system in distant regions of the same tumor. An ITH-based gene signature improves singlebiopsy patient survival predictions and an expression survey of 38,553 single cells across 7
regions of 2 patients further reveals heterogeneity in liver cancer. These data quantify
transcriptomic ITH and how the different components of the HCC ecosystem interact during
cancer evolutio
Intratumoral heterogeneity and clonal evolution in liver cancer
Clonal evolution of a tumor ecosystem depends on different selection pressures that are
principally immune and treatment mediated. We integrate RNA-seq, DNA sequencing, TCRseq and SNP array data across multiple regions of liver cancer specimens to map
spatio-temporal interactions between cancer and immune cells. We investigate how these
interactions reflect intra-tumor heterogeneity (ITH) by correlating regional neo-epitope and
viral antigen burden with the regional adaptive immune response. Regional expression of
passenger mutations dominantly recruits adaptive responses as opposed to hepatitis B virus
and cancer-testis antigens. We detect different clonal expansion of the adaptive immune
system in distant regions of the same tumor. An ITH-based gene signature improves singlebiopsy patient survival predictions and an expression survey of 38,553 single cells across 7
regions of 2 patients further reveals heterogeneity in liver cancer. These data quantify
transcriptomic ITH and how the different components of the HCC ecosystem interact during
cancer evolutio