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内体分选转运复合体（ESCRT）可能作为一种肿瘤生物标志物，从泛癌分析过渡到乳腺癌中的验证。

ESCRT may function as a tumor biomarker, transitioning from pan-cancer analysis to validation within breast cancer.

作者信息

Chen Xiao-Rui, Tan Xue-Ying, Zhang Zong-Liang, Yuan Jiang-Shui, Song Wei-Qing

机构信息

Qingdao Medical College, Qingdao University, Qingdao, China.

Clinical Laboratory Department, Qingdao Municipal Hospital, Qingdao, China.

出版信息

Front Immunol. 2025 Mar 31;16:1531940. doi: 10.3389/fimmu.2025.1531940. eCollection 2025.

DOI:10.3389/fimmu.2025.1531940
PMID:40230849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11994712/
Abstract

BACKGROUND: Studies have shown that ESCRT genes affect cell aging, immune environment, and tumors. BRCA was used to explore its effects on tumor prognosis and therapy. METHODS: The data sets of Cancer Genome Atlas (TCGA), Genome-Tissue Expression Plan (GTEX), Human Protein Mapping (HPA), Gene Expression Omnibus (GEO), Clinical Proteomic Tumor Analysis Consortium (CPTAC), R software package, and bioinformatics methods were used to mine the potential carcinogenic effects of ESCRT, including the expression level, prognostic value, and immune value of ESCRT in various types of tumor tissues, and the potential function of ESCRT family genes was further verified in breast cancer. RESULTS: ESCRT showed significant differential expression in various cancers, such as bladder urothelial carcinoma and liver, cervical, renal, esophageal, head, and neck cancers (0.05). Abnormal ESCRT expression is associated with poor prognosis in various cancers, such as adrenocortical carcinoma, bladder urothelial carcinoma, breast cancer, and cervical cancer (0.05). The expression level of ESCRT was significantly associated with immune cell infiltration and the modulation of the stromal/immune score (all 0.05). Enrichment analysis showed that ESCRT is associated with immune-related functions and transport signaling pathways in various tumor cells. Moreover, ESCRT serves as an early diagnostic marker for several tumors and is significantly associated with prognosis. This confirms that ESCRT is associated with most immune-infiltrating cells in pan-carcinomas. Taken together, these studies highlight the importance of the ESCRT family gene VPS37D in breast cancer initiation, progression, and immune response. CONCLUSION: This study highlights ESCRT's potential in tumor detection via pan-cancer analysis, showing expression variations between tumor and normal tissues, its role in cancer progression through the immune microenvironment, and its specificity and sensitivity in detection. The VPS37D gene, with significant variation in breast cancer, predicts patient prognosis and is related to the tumor microenvironment, suggesting that ESCRT is a novel biomarker for early diagnosis and prognosis assessment.

摘要

背景：研究表明，内体分选转运复合体（ESCRT）基因影响细胞衰老、免疫环境和肿瘤。本研究利用乳腺癌（BRCA）来探究其对肿瘤预后和治疗的影响。 方法：使用癌症基因组图谱（TCGA）、基因组-组织表达计划（GTEX）、人类蛋白质图谱（HPA）、基因表达综合数据库（GEO）、临床蛋白质组肿瘤分析联盟（CPTAC）的数据集、R软件包和生物信息学方法，挖掘ESCRT的潜在致癌作用，包括ESCRT在各种类型肿瘤组织中的表达水平、预后价值和免疫价值，并在乳腺癌中进一步验证ESCRT家族基因的潜在功能。 结果：ESCRT在各种癌症中表现出显著差异表达，如膀胱尿路上皮癌以及肝癌、宫颈癌、肾癌、食管癌、头颈癌（P<0.05）。ESCRT表达异常与各种癌症的不良预后相关，如肾上腺皮质癌、膀胱尿路上皮癌、乳腺癌和宫颈癌（P<0.05）。ESCRT的表达水平与免疫细胞浸润以及基质/免疫评分的调节显著相关（均P<0.05）。富集分析表明，ESCRT与各种肿瘤细胞中的免疫相关功能和转运信号通路相关。此外，ESCRT可作为几种肿瘤的早期诊断标志物，且与预后显著相关。这证实了ESCRT与泛癌中大多数免疫浸润细胞相关。综上所述，这些研究突出了ESCRT家族基因VPS37D在乳腺癌发生、发展和免疫反应中的重要性。 结论：本研究通过泛癌分析突出了ESCRT在肿瘤检测中的潜力，显示了肿瘤组织与正常组织之间的表达差异，其通过免疫微环境在癌症进展中的作用，以及其在检测中的特异性和敏感性。VPS37D基因在乳腺癌中具有显著变异，可预测患者预后并与肿瘤微环境相关，表明ESCRT是早期诊断和预后评估的新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/75ff29223213/fimmu-16-1531940-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/8452bcffe3fa/fimmu-16-1531940-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/86fa0f65ee11/fimmu-16-1531940-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/98e74cf691bd/fimmu-16-1531940-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/698e1d620332/fimmu-16-1531940-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/1ef8fa32d6ba/fimmu-16-1531940-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/1502df6e4502/fimmu-16-1531940-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/75ff29223213/fimmu-16-1531940-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/8452bcffe3fa/fimmu-16-1531940-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/86fa0f65ee11/fimmu-16-1531940-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/c1dcc900cf95/fimmu-16-1531940-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/05c09b71a581/fimmu-16-1531940-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/98e74cf691bd/fimmu-16-1531940-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/698e1d620332/fimmu-16-1531940-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/1ef8fa32d6ba/fimmu-16-1531940-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/1502df6e4502/fimmu-16-1531940-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2317/11994712/75ff29223213/fimmu-16-1531940-g009.jpg

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