MCTS1 as a Novel Prognostic Biomarker and Its Correlation With Immune Infiltrates in Breast Cancer

• Published in: Frontiers in genetics Vol. 13; p. 825901
• Main Authors: Deng, Mei, Xiong, Chao, He, Zhuo-Kai, Bin, Qiong, Song, Jing-Zhi, Li, Wei, Qin, Jie
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 28.02.2022
• Subjects: biomarker; breast cancer; Genetics; immune infiltration; MCTS1; methylation; prognosis; MCTS1; immune infiltration; methylation; bioinformatics; breast cancer; nomogram; biomarker; prognosis
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2022.825901

Multiple copies in T-cell lymphoma-1 (MCTS1) plays an important role in various cancers; however, its effects on patient prognosis and immune infiltration in breast cancer remain unclear. In this study, the expression profiles and clinical information of patients with breast cancer were obtained from the Cancer Genome Atlas (TCGA) database. Using the Wilcoxon rank-sum test, the expression levels were compared between breast cancer and normal breast tissues. Functional enrichment analyses were performed to explore the potential signaling pathways and biological functions that are involved. Immune cell infiltration was assessed using single-sample gene set enrichment analysis. The UALCAN and MethSurv databases were used to analyze the methylation status of the . The Kaplan-Meier method and Cox regression analysis were used to identify the prognostic value of . A nomogram was constructed to predict the overall survival (OS) rates at one-, three-, and five-years post-cancer diagnosis. was overexpressed in breast cancer and significantly associated with the M pathological stage, histological type, PAM50, and increased age. overexpression contributes to a significant decline in OS and disease-specific survival. Multivariate Cox analysis identified as an independent negative prognostic marker of OS. The OS nomogram was generated with a concordance index of 0.715. Similarly, the hypomethylation status of is also associated with poor prognosis. Functional enrichment analysis indicated that the enriched pathways included the reactive oxygen species signaling pathway, MYC targets, interferon alpha response, immune response regulating signaling pathway, and leukocyte migration. Moreover, the overexpression of was negatively correlated with the levels of immune cell infiltration of natural killer cells, CD8 T cells, effector memory T cells, and plasmacytoid dendritic cells. Therefore, maybe a novel prognostic biomarker.