Comprehensive analysis of complement-associated molecular features in hepatocellular carcinoma.
Comprehensive analysis of complement-associated molecular features in hepatocellular carcinoma.
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肝细胞癌补体相关分子特征综合分析
DOI:
10.3724/abbs.2022097
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发表时间:
2022-08-25
影响因子:
3.7
通讯作者:
Tang Z
中科院分区:
文献类型:
--
作者:
Huang R;Zhu G;Fu X;Liu W;Tao C;Gao J;Qu W;Fang Y;Jiang X;Ding Z;Zhou J;Shi Y;Fan J;Tang Z
The complement cascade plays a “complementing” role in human immunity. However, the potential roles of complement system in impacting molecular and clinical features of hepatocellular carcinoma (HCC) remain unclear. In this study, eleven public datasets are analyzed to compare the complement status between normal and cancerous samples based on 18 classical complement-associated genes. The complement scores are constructed to quantify complement signatures of individual tumors. HCC patients in the The Cancer Genome Atlas (TCGA) cohort are focused to perform systematical analyses between complement status and immune infiltration, miRNA expression, DNA methylation, clinicopathological features, and drug response. The results show that the complement scores in normal tissues are dramatically higher than those of tumor tissues. Tumor samples in the TCGA cohort are classified into complement score-low and score-high groups. Pathway analysis reveals that tumor-promoting pathways are typically inhibited in complement score-high group. This study also shows that tumor-killing immune cells, such as CD8 + T cells and natural killer cells are abundant and tumor-suppressing miRNAs are upregulated in complement score-high samples. In addition, we identify that complement scores are negatively correlated with certain clinical features, including pathological grade, clinical-stage, and portal vein invasion. Moreover, various molecular features together with complement scores are found to be correlated with response to anti-cancer drugs. This study provides a comprehensive and multidimensional analysis conducive to understanding the role of complement in cancer.
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DOI:
10.1093/jnci/djx030
发表时间:
2017-09-01
期刊:
Journal of the National Cancer Institute
影响因子:
--
作者:
Jemal A;Ward EM;Johnson CJ;Cronin KA;Ma J;Ryerson B;Mariotto A;Lake AJ;Wilson R;Sherman RL;Anderson RN;Henley SJ;Kohler BA;Penberthy L;Feuer EJ;Weir HK
通讯作者:
Weir HK
影响因子:
7
作者:
Geeleher P;Zhang Z;Wang F;Gruener RF;Nath A;Morrison G;Bhutra S;Grossman RL;Huang RS
通讯作者:
Huang RS
影响因子:
3.6
作者:
Lindorfer, Margaret A.;Cook, Erika M.;Taylor, Ronald P.
通讯作者:
Taylor, Ronald P.
影响因子:
9.7
作者:
Huang, Run;Yu, Yang;Zheng, Qi
通讯作者:
Zheng, Qi
影响因子:
30.5
作者:
通讯作者:
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