Comprehensive Analysis of Glycolysis-Related Genes for Prognosis, Immune Features, and Candidate Drug Development in Colon Cancer.
Comprehensive Analysis of Glycolysis-Related Genes for Prognosis, Immune Features, and Candidate Drug Development in Colon Cancer.
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糖酵解相关基因对结肠癌预后、免疫特征和候选药物开发的综合分析
DOI：
10.3389/fcell.2021.684322
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发表时间：
2021
影响因子：
5.5
通讯作者：
Zhao S
中科院分区：
文献类型：
--
作者：
Cui Z;Sun G;Bhandari R;Lu J;Zhang M;Bhandari R;Sun F;Liu Z;Zhao S
The dysregulated expression of glycolysis-related genes (GRGs) is closely related to the occurrence of diverse tumors and regarded as a novel target of tumor therapy. However, the role of GRGs in colon cancer is unclear. We obtained 226 differential GRGs (DE-GRGs) from The Cancer Genome Atlas (TCGA) database. Cox regression analysis was used to construct a DE-GRG prognostic model, including P4HA1, PMM2, PGM2, PPARGC1A, PPP2CB, STC2, ENO3, and CHPF2. The model could accurately predict the overall survival rate of TCGA and GSE17536 patient cohorts. The risk score of the model was closely related to a variety of clinical traits and was an independent risk factor for prognosis. Enrichment analysis revealed the activation of a variety of glycolysis metabolism and immune-related signaling pathways in the high-risk group. High-risk patients displayed low expression of CD4+ memory resting T cells and resting dendritic cells and high expression of macrophages M0 compared with the expression levels in the low-risk patients. Furthermore, patients in the high-risk group had a higher tumor mutation load and tumor stem cell index and were less sensitive to a variety of chemotherapeutic drugs. Quantitative reverse transcription polymerase chain reaction and immunohistochemistry analyses validated the expression of eight GRGs in 43 paired clinical samples. This is the first multi-omics study on the GRGs of colon cancer. The establishment of the risk model may benefit the prognosis and drug treatment of patients.
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影响因子：
64.5
作者：
Malta TM;Sokolov A;Gentles AJ;Burzykowski T;Poisson L;Weinstein JN;Kamińska B;Huelsken J;Omberg L;Gevaert O;Colaprico A;Czerwińska P;Mazurek S;Mishra L;Heyn H;Krasnitz A;Godwin AK;Lazar AJ;Cancer Genome Atlas Research Network;Stuart JM;Hoadley KA;Laird PW;Noushmehr H;Wiznerowicz M
通讯作者：
Wiznerowicz M
m(6)A mRNA甲基化调控CTNNB1促进肝母细胞瘤增殖
影响因子：
37.3
作者：
Liu, Li;Wang, Jing;Pan, Qiuhui
通讯作者：
Pan, Qiuhui
影响因子：
7.4
作者：
Nagorsen, Dirk;Voigt, Sabine;Loddenkemper, Christoph
通讯作者：
Loddenkemper, Christoph
DOI：
10.1093/bioinformatics/btw325
发表时间：
2016-10-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Skidmore ZL;Wagner AH;Lesurf R;Campbell KM;Kunisaki J;Griffith OL;Griffith M
通讯作者：
Griffith M
影响因子：
6.7
作者：
Li C;Shen Z;Zhou Y;Yu W
通讯作者：
Yu W