Exploring the molecular mechanisms network of breast cancer by multi-omics analysis

作者全名："Jiang, Wei; Zhang, Yanjun; Wang, Qiuqiong"

作者地址："[Jiang, Wei] Chongqing Med Univ, Dept Anesthesiol, Yongchuan Hosp, Chongqing, Peoples R China; [Zhang, Yanjun] Chongqing Med Univ, Dept Breast Surg, Yongchuan Hosp, Chongqing, Peoples R China; [Wang, Qiuqiong] Chongqing Med Univ, Dept Resp & Crit Care Med, Yongchuan Hosp, Chongqing, Peoples R China; [Wang, Qiuqiong] Chongqing Med Univ, Yongchuan Hosp, Dept Pediat, 439 Xuanhua Rd, Chongqing, Peoples R China"

通信作者："Wang, QQ (通讯作者)，Chongqing Med Univ, Yongchuan Hosp, Dept Pediat, 439 Xuanhua Rd, Chongqing, Peoples R China."

来源：ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001183855800001

JCR分区：Q4

影响因子：1.4

年份：2024

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期号：　

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文献类型：Article; Early Access

关键词：breast cancer; GEO; immune microenvironment; prognosis; WGCNA

摘要："BackgroundBreast cancer (BC), the most prevalent malignancy in women globally, still lacks comprehensive research on its molecular targets and necessitates further investigation into the underlying molecular mechanisms driving its initiation and progression.MethodsThe GSE20685 Series Matrix File downloaded from the Gene Expression Omnibus database was divided into a high-risk group (n = 49) and a low-risk group (n = 278) to construct the co-expression network.ResultsFour hub genes were identified based on the Weighted Gene Co-expression Network Analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional enrichment analyses were performed. Hub gene immune infiltration was investigated using the Tumor Immune Estimation Resource database, and CD4+ T cell expression levels were substantially correlated with hub gene expression. Based on the CancerRxGene database (Genomics of Drug Sensitivity in Cancer database), it was found that the hub genes were highly sensitive to common chemotherapy drugs such as AKT inhibitor VIII and Erlotinib. The expression of Secreted Frizzled-Related Protein 1, melanoma-inhibiting activity (MIA), and Keratin 14 was related to tumor mutation burden, and the expression of MIA also affected the microsatellite instability of the tumor. This study employs multi-omics analysis to investigate the molecular network associated with the prognosis of BC, highlighting its intricate connection with the immune microenvironment.ConclusionThese findings pinpoint four crucial genes in BC progression, offering targets for further research and therapy. Their connections to immune infiltration and chemotherapy sensitivity underscore complex interactions in the tumor microenvironment. A workflow of the study. image"

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