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免疫相关基因是子宫内膜癌的一种不良生物标志物。

Immune-related gene is an adverse biomarker for endometrial carcinoma.

作者信息

Nong Binbin, Su Tongye, Jin Mingyang, Huang Jintai, Huang Aimin, Fang Dalang, Wei Jie

机构信息

Department of Hematology, People's Hospital of Baise, Baise, China.

Department of Gynecology and Obstetrics, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.

出版信息

Transl Cancer Res. 2021 Jun;10(6):2962-2976. doi: 10.21037/tcr-21-671.

DOI:10.21037/tcr-21-671
PMID:35116604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8798191/
Abstract

BACKGROUND

Immunotherapy has made great strides in cancer treatment. Endometrial carcinoma (EC) has been 1 of the most common tumors among women. This study aimed to screen immune-related prognosis biomarkers for EC.

METHODS

The transcriptome profiling and clinical data of EC were downloaded from The Carcinoma Genome Atlas (TCGA) public database, and differentially expressed genes (DEGs) were obtained through the limma package in R software. An immune-related genes (IRGs) list was collected from the ImmPort database. We constructed a free-scale gene co-expression network via weighted gene co-expression network analysis (WGCNA). Then, the intersection genes of the module genes which significantly related to EC, along with IRGs and DEGs were screened as the candidate genes for further analysis. We identified the hub gene via Venn analysis of the protein-protein interaction (PPI) network genes and the prognostic genes, and verified expression of the hub gene through Human Protein Atlas (HPA) and Gene Expression Omnibus (GEO) databases which provided the GSE17025 dataset. Furthermore, we used the CIBERSORT deconvolution algorithm to explore tumor immune cells infiltration in EC, and investigated correlations between the hub gene and immune cells.

RESULTS

The differential expression analysis demonstrated that there were 900 up-regulated genes and 1,008 down-regulated genes in TCGA-UCEC (Uterine Corpus Endometrial Carcinoma) cohort. There were 74 candidate intersection genes in blue module genes, IRGs, and DEGs. Finally, angiopoietin 1 () was identified as the hub gene in EC. Low expression of was associated with better overall survival (OS) in EC patients. The expression of was negatively correlated with regulatory T cells (Tregs), but positively correlated with resting memory cluster of differentiation 4 (CD4) T cells, activated dendritic cells (DCs), activated natural killer (NK) cells, and activated memory CD4 T cells (P<0.05, Spearman). A high-infiltrating regulatory T cell would improve the prognosis for EC patients.

CONCLUSIONS

The gene can increase the infiltration of T cells and improve the prognosis of EC patients.

摘要

背景

免疫疗法在癌症治疗方面取得了重大进展。子宫内膜癌（EC）一直是女性中最常见的肿瘤之一。本研究旨在筛选EC的免疫相关预后生物标志物。

方法

从癌症基因组图谱（TCGA）公共数据库下载EC的转录组谱和临床数据，并通过R软件中的limma包获得差异表达基因（DEG）。从ImmPort数据库收集免疫相关基因（IRG）列表。我们通过加权基因共表达网络分析（WGCNA）构建了一个无标度基因共表达网络。然后，将与EC显著相关的模块基因的交集基因，连同IRG和DEG筛选为进一步分析的候选基因。我们通过蛋白质-蛋白质相互作用（PPI）网络基因和预后基因的维恩分析确定了枢纽基因，并通过提供GSE17025数据集的人类蛋白质图谱（HPA）和基因表达综合数据库（GEO）验证了枢纽基因的表达。此外，我们使用CIBERSORT反卷积算法探索EC中的肿瘤免疫细胞浸润，并研究枢纽基因与免疫细胞之间的相关性。

结果

差异表达分析表明，在TCGA-UCEC（子宫体子宫内膜癌）队列中有900个上调基因和1,008个下调基因。蓝色模块基因、IRG和DEG中有74个候选交集基因。最后，血管生成素1（ ）被确定为EC中的枢纽基因。 的低表达与EC患者更好的总生存期（OS）相关。 的表达与调节性T细胞（Tregs）呈负相关，但与静息记忆分化簇4（CD4）T细胞、活化树突状细胞（DCs）、活化自然杀伤（NK）细胞和活化记忆CD4 T细胞呈正相关（P<0.05，Spearman）。高浸润调节性T细胞可改善EC患者的预后。

结论

基因 可增加T细胞浸润并改善EC患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fc/8798191/b25e47c7a2e5/tcr-10-06-2962-f11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fc/8798191/35de3808b0ad/tcr-10-06-2962-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fc/8798191/331d7b202611/tcr-10-06-2962-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fc/8798191/676d3a529fca/tcr-10-06-2962-f8.jpg
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