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OpenAlex, 2021

DOI: 10.60692/2wfnr-h3k54

OpenAlex, 2021

DOI: 10.60692/b4a96-edz73

Oxford University Press, National Science Review, 3(9), 2021

DOI: 10.1093/nsr/nwab192

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Dynamic phenotypic heterogeneity and the evolution of multiple RNA subtypes in hepatocellular carcinoma: the PLANET study

Journal article published in 2021 by Weiwei Zhai, Weiwei Zhai, Hannah Lai, Hannah Lai, Neslihan Arife Kaya, Neslihan Arife Kaya, Jianbin Chen, Jianbin Chen, Hongshan Yang, Hechuan Yang, Bingxin Lu, Bingxin Lu, Jia Qi Lim, Jia Qi Lim, Siming Ma and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Intra-tumor heterogeneity (ITH) is a key challenge in cancer treatment, but previous studies have focused mainly on the genomic alterations without exploring phenotypic (transcriptomic and immune) heterogeneity. Using one of the largest prospective surgical cohorts for hepatocellular carcinoma (HCC) with multi-region sampling, we sequenced whole genomes and paired transcriptomes from 67 HCC patients (331 samples). We found that while genomic ITH was rather constant across stages, phenotypic ITH had a very different trajectory and quickly diversified in stage II patients. Most strikingly, 30% of patients were found to contain more than one transcriptomic subtype within a single tumor. Such phenotypic ITH was found to be much more informative in predicting patient survival than genomic ITH and explains the poor efficacy of single-target systemic therapies in HCC. Taken together, we not only revealed an unprecedentedly dynamic landscape of phenotypic heterogeneity in HCC, but also highlighted the importance of studying phenotypic evolution across cancer types.