Establishment of a novel glycolysis-related prognostic gene signature for ovarian cancer and its relationships with immune infiltration of the tumor microenvironment.
Establishment of a novel glycolysis-related prognostic gene signature for ovarian cancer and its relationships with immune infiltration of the tumor microenvironment.
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卵巢癌糖酵解相关预后基因特征的建立及其与肿瘤微环境免疫浸润的关系
DOI：
10.1186/s12967-021-03057-0
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发表时间：
2021-09-08
影响因子：
7.4
通讯作者：
Yang Q
中科院分区：
文献类型：
--
作者：
Bi J;Bi F;Pan X;Yang Q
糖酵解影响肿瘤生长、侵袭、化疗抗性和肿瘤微环境。本研究旨在构建糖酵解相关的卵巢癌预后模型，并分析其与肿瘤微环境免疫细胞浸润的关系。我们获得了6个糖酵解相关基因集进行基因集富集分析（GSEA）。在去除批次效应后，将来自癌症基因组图谱（TCGA）数据库和两个基因表达综合数据集（GEO）的卵巢癌数据分为两组。我们比较了高风险组和低风险组肿瘤环境的免疫成分，并分析了糖酵解和免疫相关基因之间的相关性。然后，我们使用糖酵解相关基因生成并验证了卵巢癌预后的预测模型。总的来说，329个糖酵解基因中有27个与卵巢癌的生存相关，其中8个具有预测价值。肿瘤微环境中的肿瘤细胞成分在高风险组和低风险组之间没有差异;然而，免疫评分在各组之间存在显著差异。总共有13/24种免疫细胞类型在各组之间存在差异，包括10种T细胞类型和3种其他免疫细胞类型。8个糖酵解相关的预后基因与多个免疫相关基因的表达存在不同程度的相关性，提示糖酵解与免疫应答之间存在一定的关系。我们确定了八个糖酵解相关的预后基因，有效地预测卵巢癌的生存。在一定程度上，新发现的基因标签与肿瘤微环境有关，特别是免疫细胞浸润和免疫相关基因表达。这些发现为卵巢癌提供了潜在的生物标志物和治疗靶点。在线版本包含补充材料，可通过10.1186/s12967-021-03057-0获得。
Glycolysis affects tumor growth, invasion, chemotherapy resistance, and the tumor microenvironment. In this study, we aimed to construct a glycolysis-related prognostic model for ovarian cancer and analyze its relationship with the tumor microenvironment’s immune cell infiltration. We obtained six glycolysis-related gene sets for gene set enrichment analysis (GSEA). Ovarian cancer data from The Cancer Genome Atlas (TCGA) database and two Gene Expression Omnibus (GEO) datasets were divided into two groups after removing batch effects. We compared the tumor environments' immune components in high-risk and low-risk groups and analyzed the correlation between glycolysis- and immune-related genes. Then, we generated and validated a predictive model for the prognosis of ovarian cancer using the glycolysis-related genes. Overall, 27/329 glycolytic genes were associated with survival in ovarian cancer, 8 of which showed predictive value. The tumor cell components in the tumor microenvironment did not differ between the high-risk and low-risk groups; however, the immune score differed significantly between groups. In total, 13/24 immune cell types differed between groups, including 10 T cell types and three other immune cell types. Eight glycolysis-related prognostic genes were related to the expression of multiple immune-related genes at varying degrees, suggesting a relationship between glycolysis and immune response. We identified eight glycolysis-related prognostic genes that effectively predicted survival in ovarian cancer. To a certain extent, the newly identified gene signature was related to the tumor microenvironment, especially immune cell infiltration and immune-related gene expression. These findings provide potential biomarkers and therapeutic targets for ovarian cancer. The online version contains supplementary material available at 10.1186/s12967-021-03057-0.
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影响因子：
7.2
作者：
Husain Z;Seth P;Sukhatme VP
通讯作者：
Sukhatme VP
DOI：
10.1016/j.matbio.2020.10.001
发表时间：
2021-01
期刊：
Matrix biology : journal of the International Society for Matrix Biology
影响因子：
--
作者：
Mao L;Yang J;Yue J;Chen Y;Zhou H;Fan D;Zhang Q;Buraschi S;Iozzo RV;Bi X
通讯作者：
Bi X
肿瘤诱导的脾成红细胞样 Ter 细胞的产生促进肿瘤进展
影响因子：
64.5
作者：
Han, Yanmei;Liu, Qiuyan;Cao, Xuetao
通讯作者：
Cao, Xuetao
影响因子：
4.7
作者：
Liang GQ;Liu J;Zhou XX;Lin ZX;Chen T;Chen G;Wei H
通讯作者：
Wei H
影响因子：
2.8
作者：
Luo T;Du Y;Duan J;Liang C;Chen G;Jiang K;Chen Y;Chen Y
通讯作者：
Chen Y