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挖掘乳腺浸润性导管癌肿瘤微环境中具有预后价值的免疫相关基因。

Mining immune-related genes with prognostic value in the tumor microenvironment of breast invasive ductal carcinoma.

机构信息

Department of Cosmetic Plastic Surgery, Chengdu Second People's Hospital.

Smile Dental Clinic, Chengdu.

出版信息

Medicine (Baltimore). 2021 Apr 30;100(17):e25715. doi: 10.1097/MD.0000000000025715.

Abstract

The tumor microenvironment (TME) plays an important role in the development of breast cancer. Due to limitations in experimental conditions, the molecular mechanism of TME in breast cancer has not yet been elucidated. With the development of bioinformatics, the study of TME has become convenient and reliable.Gene expression and clinical feature data were downloaded from The Cancer Genome Atlas database and the Molecular Taxonomy of Breast Cancer International Consortium database. Immune scores and stromal scores were calculated using the Estimation of Stromal and Immune Cells in Malignant Tumor Tissues Using Expression Data algorithm. The interaction of genes was examined with protein-protein interaction and co-expression analysis. The function of genes was analyzed by gene ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes analysis and gene set enrichment analysis. The clinical significance of genes was assessed with Kaplan-Meier analysis and univariate/multivariate Cox regression analysis.Our results showed that the immune scores and stromal scores of breast invasive ductal carcinoma (IDC) were significantly lower than those of invasive lobular carcinoma. The immune scores were significantly related to overall survival of breast IDC patients and both the immune and stromal scores were significantly related to clinical features of these patients. According to the level of immune/stromal scores, 179 common differentially expressed genes and 5 hub genes with prognostic value were identified. In addition, the clinical significance of the hub genes was validated with data from the molecular taxonomy of breast cancer international consortium database, and gene set enrichment analysis analysis showed that these hub genes were mainly enriched in signaling pathways of the immune system and breast cancer.We identified five immune-related hub genes with prognostic value in the TME of breast IDC, which may partly determine the prognosis of breast cancer and provide some direction for development of targeted treatments in the future.

摘要

肿瘤微环境(TME)在乳腺癌的发展中起着重要作用。由于实验条件的限制,TME 在乳腺癌中的分子机制尚未阐明。随着生物信息学的发展,TME 的研究变得更加方便和可靠。从癌症基因组图谱数据库和乳腺癌国际联合会分子分类数据库下载基因表达和临床特征数据。使用表达数据估计恶性肿瘤组织中的基质和免疫细胞算法计算免疫评分和基质评分。通过蛋白质-蛋白质相互作用和共表达分析检查基因的相互作用。通过基因本体富集分析、京都基因与基因组百科全书分析和基因集富集分析分析基因的功能。通过 Kaplan-Meier 分析和单变量/多变量 Cox 回归分析评估基因的临床意义。我们的结果表明,乳腺浸润性导管癌(IDC)的免疫评分和基质评分明显低于浸润性小叶癌。免疫评分与乳腺 IDC 患者的总生存率显著相关,免疫和基质评分均与这些患者的临床特征显著相关。根据免疫/基质评分水平,鉴定出 179 个共同差异表达基因和 5 个具有预后价值的枢纽基因。此外,还使用乳腺癌国际联合会分子分类数据库的数据验证了枢纽基因的临床意义,基因集富集分析表明这些枢纽基因主要富集在免疫系统和乳腺癌的信号通路中。我们鉴定出乳腺 IDC 肿瘤微环境中 5 个具有预后价值的免疫相关枢纽基因,它们可能部分决定乳腺癌的预后,并为未来的靶向治疗提供一些方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79e2/8084029/e2e7abf64ee3/medi-100-e25715-g001.jpg

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