Mutational Landscape Analysis of BRCA1/2 and Identification of Extracellular-Vesicle-Related Biomarkers in Triple-Negative Breast Cancer

<b>Background</b>: Triple-negative breast cancer (TNBC), defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression, is associated with increased <i>BRCA1/2</i> mutation rates. Extracellular vesicles (EVs) play a pivotal role in TNBC progression. This study aimed to analyze <i>BRCA1/2</i> mutations and identify EV-related biomarkers for TNBC by employing TNBC-related datasets and EV-related genes (EVRGs). <b>Methods</b>: Initially, <i>BRCA1/2</i> mutations in TNBC patients were examined. Differentially expressed EVRGs (DE-EVRGs) were identified by integrating the results of both differential expression analysis and weighted gene co-expression network analysis (WGCNA). Biomarkers were identified using Receiver Operating Characteristic (ROC) and Kaplan-Meier (K-M) analyses. Finally, functional enrichment, drug prediction, molecular docking, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analyses were performed. <b>Results</b>: Waterfall plots indicated that <i>TP53</i> exhibited the highest mutation frequency in both the mutation (MUT) and wild-type (WT) group. Four distinct types of immune cells (for example, eosinophils and neutrophils) showed significantly elevated expression levels in the WT group. Notably, <i>PLA2G5</i> was identified as a biomarker of TNBC and its expression was significantly lower in TNBC (<i>p</i> = 0.0025). Functional analysis demonstrated that <i>PLA2G5</i> is enriched in the "drug metabolism cytochrome P450" pathway. Finally, 20 drugs targeting <i>PLA2G5</i> were identified, among which leukotriene C4 demonstrated a binding affinity of -7.2 kcal/mol. This finding suggests that leukotriene C4 has potential therapeutic applications for the treatment of TNBC. <b>Conclusions</b>: Our study found significant differences between the MUT and WT groups, identifying <i>PLA2G5</i> as a biomarker for TNBC and offering a theoretical basis for TNBC treatment.

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Journal
Biomedicines
Published
2026-01-14
DOI
https://doi.org/10.3390/biomedicines14010178
Primary Topic
Extracellular vesicles in disease
Type
article
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article

Mutational Landscape Analysis of BRCA1/2 and Identification of Extracellular-Vesicle-Related Biomarkers in Triple-Negative Breast Cancer

Yuqiu Hu, Jiali Wu, Zishan Xie, Li Sun et al.
Biomedicines
Extracellular vesicles in disease
article

Mutational Landscape Analysis of BRCA1/2 and Identification of Extracellular-Vesicle-Related Biomarkers in Triple-Negative Breast Cancer

Yuqiu Hu, Jiali Wu, Zishan Xie, Li Sun, Yuan Zong, Lu Yuan, R. Stephanie Huang, Hui Li
article en

Abstract

<b>Background</b>: Triple-negative breast cancer (TNBC), defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression, is associated with increased <i>BRCA1/2</i> mutation rates. Extracellular vesicles (EVs) play a pivotal role in TNBC progression. This study aimed to analyze <i>BRCA1/2</i> mutations and identify EV-related biomarkers for TNBC by employing TNBC-related datasets and EV-related genes (EVRGs). <b>Methods</b>: Initially, <i>BRCA1/2</i> mutations in TNBC patients were examined. Differentially expressed EVRGs (DE-EVRGs) were identified by integrating the results of both differential expression analysis and weighted gene co-expression network analysis (WGCNA). Biomarkers were identified using Receiver Operating Characteristic (ROC) and Kaplan-Meier (K-M) analyses. Finally, functional enrichment, drug prediction, molecular docking, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analyses were performed. <b>Results</b>: Waterfall plots indicated that <i>TP53</i> exhibited the highest mutation frequency in both the mutation (MUT) and wild-type (WT) group. Four distinct types of immune cells (for example, eosinophils and neutrophils) showed significantly elevated expression levels in the WT group. Notably, <i>PLA2G5</i> was identified as a biomarker of TNBC and its expression was significantly lower in TNBC (<i>p</i> = 0.0025). Functional analysis demonstrated that <i>PLA2G5</i> is enriched in the "drug metabolism cytochrome P450" pathway. Finally, 20 drugs targeting <i>PLA2G5</i> were identified, among which leukotriene C4 demonstrated a binding affinity of -7.2 kcal/mol. This finding suggests that leukotriene C4 has potential therapeutic applications for the treatment of TNBC. <b>Conclusions</b>: Our study found significant differences between the MUT and WT groups, identifying <i>PLA2G5</i> as a biomarker for TNBC and offering a theoretical basis for TNBC treatment.

BiomedicinesVol. 14(1)
Sun Yat-sen University (CN), Eighth Affiliated Hospital of Sun Yat-sen University
Good health and well-being
Openalex Percentile: Top 88%
Extracellular vesicles in disease
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