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鉴定与 CD8+T 淋巴细胞相关的肾细胞癌的七个基因预后模型。

Identification of a seven-gene prognostic model for renal cell carcinoma associated with CD8+T lymphocyte cell.

机构信息

Department of Urology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.

出版信息

Medicine (Baltimore). 2024 Oct 4;103(40):e39938. doi: 10.1097/MD.0000000000039938.

DOI:10.1097/MD.0000000000039938
PMID:39465721
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11460915/
Abstract

CD8+ T lymphocytes are important elements of the tumor microenvironment, hence their involvement in the development and progression of tumors is complex. Data on the precise tumor-infiltrating lymphocytes gene signature in renal cell carcinoma (RCC) remain limited. Therefore, this study created a tumor-infiltrating lymphocytes-related predictive model for patients with RCC using data from The Cancer Genome Atlas. The most important genes associated with CD8 + T lymphocytes were identified using weighted gene co-expression network analysis. Functional categories of important genes were revealed using gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes signaling pathway analyses. A CD8 + T lymphocyte-related prognostic model with 7 important genes was simultaneously created using the least absolute shrinkage and selection operator, univariate and multivariate Cox regressions, and the 7 genes were expressed particularly in CD8 + T lymphocytes according to single-cell sequencing data obtained from the Gene Expression Omnibus. This study identified a seven-gene prognostic model associated with CD8 + T lymphocytes that may significantly influence risk stratification in patients with RCC. The genes included in the model are apolipoprotein B mRNA editing catalytic polypeptide 3G, CD3 gamma, eomesodermin, protein tyrosine phosphatase, non-receptor type 7, signal regulatory protein gamma, Fas ligand, and T-cell immunoreceptor with Ig and ITIM domains.

摘要

CD8+ T 淋巴细胞是肿瘤微环境的重要组成部分,因此它们在肿瘤的发生和发展中的作用非常复杂。关于肾细胞癌(RCC)中浸润肿瘤的淋巴细胞基因特征的相关数据仍然有限。因此,本研究使用来自癌症基因组图谱的数据,为 RCC 患者创建了一个与肿瘤浸润淋巴细胞相关的预测模型。使用加权基因共表达网络分析确定与 CD8+T 淋巴细胞最相关的重要基因。使用基因本体富集和京都基因与基因组百科全书信号通路分析揭示重要基因的功能类别。使用最小绝对收缩和选择算子、单因素和多因素 Cox 回归同时创建了一个包含 7 个重要基因的 CD8+T 淋巴细胞相关预后模型,并且根据从基因表达综合数据库获得的单细胞测序数据,这 7 个基因在 CD8+T 淋巴细胞中表达特别丰富。本研究确定了一个与 CD8+T 淋巴细胞相关的七基因预后模型,可能会显著影响 RCC 患者的风险分层。该模型中包含的基因有载脂蛋白 B mRNA 编辑酶催化多肽 3G、CD3 伽马链、Eomesodermin、蛋白酪氨酸磷酸酶非受体型 7、信号调节蛋白 gamma、Fas 配体和 T 细胞免疫受体 Ig 和 ITIM 结构域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/82d5cdc48e45/medi-103-e39938-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/6cf9781d01a5/medi-103-e39938-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/85ebf8359bb2/medi-103-e39938-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/48fe82b55cbb/medi-103-e39938-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/28b727dec31c/medi-103-e39938-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/82d5cdc48e45/medi-103-e39938-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/6cf9781d01a5/medi-103-e39938-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/85ebf8359bb2/medi-103-e39938-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/48fe82b55cbb/medi-103-e39938-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/28b727dec31c/medi-103-e39938-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eec/11460915/82d5cdc48e45/medi-103-e39938-g005.jpg

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本文引用的文献

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Integrated bioinformatic analysis and cell line experiments reveal the significant role of the novel immune checkpoint TIGIT in kidney renal clear cell carcinoma.综合生物信息学分析和细胞系实验揭示了新型免疫检查点TIGIT在肾透明细胞癌中的重要作用。
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Cancer statistics, 2023.
癌症统计数据,2023 年。
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APOBEC3G expression correlates with unfavorable prognosis and immune infiltration in kidney renal clear cell carcinoma.载脂蛋白B mRNA编辑酶催化多肽样蛋白3G(APOBEC3G)的表达与肾透明细胞癌的不良预后和免疫浸润相关。
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