Literature DB >> 33837126

Retrieving the deleterious mutations before extinction: genome-wide comparison of shared derived mutations in liver cancer and normal population.

Shuai Chang1, Jian Li1, Qun Li1, Chun-Peng Yu1, Ling-Ling Xie1, Song Wang2.   

Abstract

STUDY
PURPOSE: Deleterious mutations would be rapidly purged from natural populations along with the extinction of their carriers. The currently observed mutations in existing species are mostly neutral. The inaccessibility of deleterious mutations impedes the functional studies on how these mutations affect the fitness at individual level. STUDY
DESIGN: The connection between the deleterious genotype and the non-adaptive phenotype could be bridged by sequencing the genome before extinction. Although this approach is no longer feasible for evolutionary biologists, it is feasible for cancer biologists by profiling the mutations in tumour samples which are so deleterious that the carriers hardly live.
RESULTS: By comparing the derived mutation profile between normal populations and patients with liver cancer, we found that the shared mutations, which are highly deleterious, are suppressed to low allele frequencies in normal populations and tissues, but show remarkably high frequency in tumours. The density of shared mutations is negatively correlated with gene conservation and expression levels.
CONCLUSIONS: Deleterious mutations are suppressed in functionally important genes as well as in normal populations. This work deepened our understanding on how natural selection act on deleterious mutations by analogising the cancer evolution to species evolution, which are essentially the same molecular process but at different time scales. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cancer genetics

Mesh:

Year:  2021        PMID: 33837126     DOI: 10.1136/postgradmedj-2021-139993

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   4.973


  4 in total

1.  Evidence for selection on SARS-CoV-2 RNA translation revealed by the evolutionary dynamics of mutations in UTRs and CDSs.

Authors:  Lin Zhu; Qi Wang; Weiyu Zhang; Hao Hu; Kexin Xu
Journal:  RNA Biol       Date:  2022-01       Impact factor: 4.766

2.  SARS-CoV-2 competes with host mRNAs for efficient translation by maintaining the mutations favorable for translation initiation.

Authors:  Yanping Zhang; Xiaojie Jin; Haiyan Wang; Yaoyao Miao; Xiaoping Yang; Wenqing Jiang; Bin Yin
Journal:  J Appl Genet       Date:  2021-10-16       Impact factor: 3.240

3.  Hepatitis B virus (HBV) codon adapts well to the gene expression profile of liver cancer: an evolutionary explanation for HBV's oncogenic role.

Authors:  Chunpeng Yu; Jian Li; Qun Li; Shuai Chang; Yufeng Cao; Hui Jiang; Lingling Xie; Gang Fan; Song Wang
Journal:  J Microbiol       Date:  2022-10-17       Impact factor: 2.902

4.  Genome-wide expression changes mediated by A-to-I RNA editing correlate with hepatic oncogenesis.

Authors:  Jian Li; Qun Li; Chun-Peng Yu; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  4 in total

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