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Updated: Sep 11, 2025

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
Published on: June 7, 2016
Immune microenvironment and prognostic genes of triple-negative breast cancer in the context of transcriptome and
Xiangqin Huang1,2,3, Wei Chen1,2,3, Zhiwu Lin1,2,3
1Department of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Abstract:
Immune-related genes (IRGs) play a pivotal role in the tumor microenvironment of triple-negative breast cancer (TNBC). This study aimed to uncover novel prognostic markers for TNBC based on IRGs. Differential expression analysis, univariate Cox regression, and machine learning algorithms identified BPI, GPHA2, KIR3DL3, MASP1, RASGRP1, and SEMA4A as potential prognostic genes. A random survival forest (RSF) model was developed and subsequently validated, alongside the creation of a prognostic nomogram to assess gene diagnostic performance. Further, epithelial cells, fibroblasts, and T cells were recognized as the primary cell types through which RASGRP1 exerts its effects. Finally, an analysis of the immune microenvironment and drug predictions provided fresh insights for the treatment of TNBC.
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