ARHGEF6 downregulation as a key mediator of tumor cell apoptosis in breast cancer

The present study aimed to identify novel clinical biomarkers for breast cancer (BRCA) through bioinformatics analyses and cellular experiments, due to the ongoing need for improved diagnosis and prognosis in BRCA. The GSE21422 and The Cancer Genome Atlas-BRCA (TCGA-BRCA) datasets were utilized to identify differentially expressed genes (DEGs) in BRCA. Common DEGs were subjected to comprehensive analyses, including risk score modeling, expression profiling, receiver operating characteristic curve evaluation, survival analysis and the development of a prognostic nomogram, to pinpoint clinically significant genes. Cellular assays were subsequently performed to investigate the functional roles of these key genes in BRCA. Through bioinformatics analyses, 5 genes with diagnostic value were identified: Aldehyde dehydrogenase 1 family member A1 (ALDH1A1), Rac/Cdc42 guanine nucleotide exchange factor 6 (ARHGEF6), enhancer of zeste 2 polycomb repressive complex 2 subunit, integrin α1 (ITGA1) and PIK3R1, as well as 3 genes with prognostic value: ALDH1A1, ARHGEF6 and ITGA1. Among them, ARHGEF6 was recognized as the key gene in BRCA. Overexpression of ARHGEF6 was shown to suppress cell proliferation, invasion and migration, while promoting apoptosis in BRCA. In conclusion, by bioinformatics analysis, new diagnostic and prognostic biomarkers for patients with BRCA have been identified and the key gene, ARHGEF6, is a suppressor gene in BRCA progression. These findings provide new directions for BRCA clinical application.

Authors

Institutions

Publication Details

Journal
Oncology Letters
Published
2025-09-12
DOI
https://doi.org/10.3892/ol.2025.15268
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ARHGEF6 downregulation as a key mediator of tumor cell apoptosis in breast cancer

Chengguo Xing, Qinqin Song, Xuting Shen, Dong Chi Zhou et al.
Oncology Letters
Cancer, Hypoxia, and Metabolism
article

ARHGEF6 downregulation as a key mediator of tumor cell apoptosis in breast cancer

Chengguo Xing, Qinqin Song, Xuting Shen, Dong Chi Zhou, Jisong Liu, Qilun Zhang, Bian Liu, Haoshu Fang, Wenbo Li, Yang Zhang, Xinxin Zhao, Liuyang Yang, Wenxiang Fang
article en

Abstract

The present study aimed to identify novel clinical biomarkers for breast cancer (BRCA) through bioinformatics analyses and cellular experiments, due to the ongoing need for improved diagnosis and prognosis in BRCA. The GSE21422 and The Cancer Genome Atlas-BRCA (TCGA-BRCA) datasets were utilized to identify differentially expressed genes (DEGs) in BRCA. Common DEGs were subjected to comprehensive analyses, including risk score modeling, expression profiling, receiver operating characteristic curve evaluation, survival analysis and the development of a prognostic nomogram, to pinpoint clinically significant genes. Cellular assays were subsequently performed to investigate the functional roles of these key genes in BRCA. Through bioinformatics analyses, 5 genes with diagnostic value were identified: Aldehyde dehydrogenase 1 family member A1 (ALDH1A1), Rac/Cdc42 guanine nucleotide exchange factor 6 (ARHGEF6), enhancer of zeste 2 polycomb repressive complex 2 subunit, integrin α1 (ITGA1) and PIK3R1, as well as 3 genes with prognostic value: ALDH1A1, ARHGEF6 and ITGA1. Among them, ARHGEF6 was recognized as the key gene in BRCA. Overexpression of ARHGEF6 was shown to suppress cell proliferation, invasion and migration, while promoting apoptosis in BRCA. In conclusion, by bioinformatics analysis, new diagnostic and prognostic biomarkers for patients with BRCA have been identified and the key gene, ARHGEF6, is a suppressor gene in BRCA progression. These findings provide new directions for BRCA clinical application.

Oncology LettersVol. 30(5)
University of Science and Technology of China (CN), Bengbu Medical College (CN), Anhui Medical University (CN), Shanghai East Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), The Second Affiliated Hospital of Bengbu Medical College (CN), First Affiliated Hospital of Bengbu Medical College (CN)
Openalex Percentile: Top 69%
Cancer, Hypoxia, and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.