4.7 Article

Pan-Cancer Analysis Reveals That E1A Binding Protein p300 Mutations Increase Genome Instability and Antitumor Immunity

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出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2021.729927

关键词

pan-cancer; EP300 mutations; genome instability; anti-tumor immunity; immunotherapy response

资金

  1. China Pharmaceutical University [3150120001]
  2. FORCHN Holding GroupZhejiang University Collaborative Project [2020-KYY-518051-0066]

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Mutations in the E1A binding protein p300 (EP300) are associated with higher tumor mutation burden and antitumor immune activity in various cancer types. This indicates a potential favorable response to immune checkpoint inhibitors in EP300-mutated cancers, making EP300 mutation a potential predictive biomarker for immunotherapy response.
E1A binding protein p300 (EP300) is mutated in diverse cancers. Nevertheless, a systematic investigation into the associations of EP300 mutations with genome instability and antitumor immunity in pan-cancer remains lacking. Using the datasets from The Cancer Genome Atlas, we analyzed the correlations between EP300 mutations and genome instability and antitumor immune response in 11 cancer types. Compared to EP300-wild-type cancers, EP300-mutated cancers had significantly higher tumor mutation burden (TMB) in 10 cancer types. EP300-mutated cancers harbored a much higher fraction of microsatellite instable cancers in the colon and gastric cancers. EP300 was co-mutated with genes involved in DNA damage repair pathways in multiple cancers. Furthermore, compared to EP300-wild-type cancers, EP300-mutated cancers had significantly higher immune cytolytic activity scores and ratios of immune-stimulatory over immune-inhibitory signatures in diverse cancers. Also, EP300-mutated cancers showed significantly higher programmed death-ligand 1 (PD-L1) expression levels than EP300-wild-type cancers. The increased TMB, antitumor immune activity, and PD-L1 expression indicated a favorable response to immune checkpoint inhibitors (ICIs) in EP300-mutated cancers, as evident in three cancer cohorts treated with ICIs. Thus, the EP300 mutation could be a predictive biomarker for the response to immunotherapy.

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