Identification of hepatocellular carcinoma subtypes based on PcG-related genes and biological relevance with cancer cells.
Identification of hepatocellular carcinoma subtypes based on PcG-related genes and biological relevance with cancer cells.
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基于PcG相关基因及其与癌细胞生物学相关性的肝细胞癌亚型鉴定
DOI:
10.1186/s13148-022-01393-6
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发表时间:
2022-12-24
影响因子:
5.7
通讯作者:
Qu, Kai
中科院分区:
文献类型:
--
作者:
Fu, Yunong;Yang, Kaibo;Wu, Kunjin;Wang, Hai;Li, Qinglin;Zhang, Fengping;Yang, Kun;Yao, Qing;Ma, Xiaohua;Deng, Yujie;Zhang, Jingyao;Liu, Chang;Qu, Kai
关键词:
BackgroundHepatocellular carcinoma (HCC) is an extensive heterogeneous disease where epigenetic factors contribute to its pathogenesis. Polycomb group (PcG) proteins are a group of subunits constituting various macro-molecular machines to regulate the epigenetic landscape, which contributes to cancer phenotype and has the potential to develop a molecular classification of HCC.ResultsHere, based on multi-omics data analysis of DNA methylation, mRNA expression, and copy number of PcG-related genes, we established an epigenetic classification system of HCC, which divides the HCC patients into two subgroups with significantly different outcomes. Comparing these two epigenetic subgroups, we identified different metabolic features, which were related to epigenetic regulation of polycomb-repressive complex 1/2 (PRC1/2). Furthermore, we experimentally proved that inhibition of PcG complexes enhanced the lipid metabolism and reduced the capacity of HCC cells against glucose shortage. In addition, we validated the low chemotherapy sensitivity of HCC in Group A and found inhibition of PRC1/2 promoted HCC cells’ sensitivity to oxaliplatin in vitro and in vivo. Finally, we found that aberrant upregulation of CBX2 in Group A and upregulation of CBX2 were associated with poor prognosis in HCC patients. Furthermore, we found that manipulation of CBX2 affected the levels of H3K27me3 and H2AK119ub.ContributionsOur study provided a novel molecular classification system based on PcG-related genes data and experimentally validated the biological features of HCC in two subgroups. Our founding supported the polycomb complex targeting strategy to inhibit HCC progression where CBX2 could be a feasible therapeutic target.
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影响因子:
64.5
作者:
Cancer Genome Atlas Research Network. Electronic address: wheeler@bcm.edu;Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
DOI:
10.1186/s13046-022-02297-2
发表时间:
2022-03-24
期刊:
Journal of experimental & clinical cancer research : CR
影响因子:
--
作者:
Braghini MR;Lo Re O;Romito I;Fernandez-Barrena MG;Barbaro B;Pomella S;Rota R;Vinciguerra M;Avila MA;Alisi A
通讯作者:
Alisi A
影响因子:
51.1
作者:
Gounder, Mrinal;Schoffski, Patrick;Stacchiotti, Silvia
通讯作者:
Stacchiotti, Silvia
影响因子:
64.5
作者:
Czermin, B;Melfi, R;Pirrotta, V
通讯作者:
Pirrotta, V
影响因子:
50.3
作者:
Dong, Liangqing;Lu, Dayun;Fan, Jia
通讯作者:
Fan, Jia