高级检索
当前位置: 首页 > 详情页

Multi-Omics Characterization of a Glycerolipid Metabolism-Related Gene Enrichment Score in Colon Cancer

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Hebei Univ,Dept Med Oncol,Hebei Key Lab Canc Radiotherapy & Chemotherapy,Affiliated Hosp,Baoding,Peoples R China [2]Hebei Univ,Dept Gastrointestinal Surg,Affiliated Hosp,Baoding,Peoples R China [3]Harbin Med Univ, Gen Surg Dept, Affiliated Hosp 2, Harbin, Peoples R China [4]Burning Rock Biotech, Med Dept, Guangzhou, Peoples R China
出处:
ISSN:

关键词: glycerolipid metabolism colon cancer prognostic signature overall survival multi-omics characterization

摘要:
BackgroundGlycerolipid metabolism is involved in the genesis and progression of colon cancer. The current study aims at exploring the prognostic value and potential molecular mechanism of glycerolipid metabolism-related genes in colon cancer from the perspective of multi-omics. MethodsClinical information and mRNA expression data of patients with colon cancer were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Single-sample gene set enrichment analysis (ssGSEA) was applied to calculate the glycerolipid metabolism-related gene enrichment score (GLMS). Univariable and multivariable Cox regression analyses were used to study the prognostic value of GLMS in TCGA-COAD and GSE39582 cohorts. The molecular mechanism of the prognostic factor was investigated via immune cell infiltration estimation and correlation analysis of cancer hallmark pathways. Single-cell transcriptomic dataset GSE146771 was used to identify the cell populations which glycerolipid metabolism targeted on. ResultsThe GLMS was found to be associated with tumor location and consensus molecular types (CMSs) of colon cancer in TCGA-COAD cohort (P < 0.05). Patients in the low-GLMS group exhibited poorer overall survival (OS) in TCGA cohort (P = 0.03; HR, 0.63; 95% CI, 0.42-0.94), which was further validated in the GSE39582 dataset (P < 0.001; HR, 0.57; 95% CI, 0.43-0.76). The association between the GLMS and OS remained significant in the multivariable analysis (TCGA cohort: P = 0.04; HR, 0.64; 95% CI, 0.42-0.98; GSE39582 cohort: P < 0.001; HR, 0.60; 95% CI, 0.45-0.80). The GLMS was positively correlated with cancer hallmark pathways including bile acid metabolism, xenobiotic metabolism, and peroxisome and negatively correlated with pathways such as interferon gamma response, allograft rejection, apoptosis, and inflammatory response (P < 0.05). Increased immune infiltration and upregulated expression of immune checkpoints were observed in patients with lower GLMS (P < 0.05). Single-cell datasets verified the different distribution of GLMS in cell subsets, with significant enrichment of GLMS in malignant cells and Tprolif cells. ConclusionWe demonstrated that GLMS was a potential independent prognostic factor for colon cancer. The GLMS was also correlated with several cancer hallmark pathways, as well as immune microenvironment.

语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2025]版:
大类 | 3 区 医学
小类 | 4 区 肿瘤学
JCR分区:
出版当年[2022]版:
Q2 ONCOLOGY
最新[2023]版:
Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者:
第一作者机构: [1]Hebei Univ,Dept Med Oncol,Hebei Key Lab Canc Radiotherapy & Chemotherapy,Affiliated Hosp,Baoding,Peoples R China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:15101 今日访问量:4 总访问量:964 更新日期:2025-05-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 河北大学附属医院 技术支持:重庆聚合科技有限公司 地址:保定市莲池区裕华东路212号