m7G-related gene signatures determine prognosis in triple-negative breast cancer

Triple-negative breast cancer (TNBC), which lacks targeted treatment options, continues to pose a major clinical hurdle. This study investigated the molecular complexities of TNBC, with a focus on m7G modifications, the immune microenvironment, and their influence on patient prognosis. An integrated analysis of m7G-related genes facilitated the creation of a risk model based on differentially expressed m7G-related genes, which effectively stratified patients with TNBC into low- and high-risk groups, with the low-risk group demonstrating a marked survival advantage. Immune cell infiltration analysis revealed substantial differences between risk groups, suggesting a potential association between m7G-related risk and immune landscape modulation. Genomic profiling identified distinct mutational patterns, with TP53 mutations predominant in the high-risk group and PIK3CA mutations in the low-risk group. Chemosensitivity analysis indicated the potential for tailored drug responses, highlighting the utility of the m7G-related risk score in guiding personalized therapeutic approaches. Additionally, a nomogram incorporating the risk score, stage, and M stage was developed, providing a valuable tool for predicting 3-, 5-, and 10-year survival probabilities.

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Publication Details

Journal
Scientific Reports
Published
2025-10-27
DOI
https://doi.org/10.1038/s41598-025-21622-1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00

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article

m7G-related gene signatures determine prognosis in triple-negative breast cancer

Xin Lan, Bin Wang, Yanhong Wang, Hongyan Jia et al.
Scientific Reports
RNA modifications and cancer
article

m7G-related gene signatures determine prognosis in triple-negative breast cancer

Xin Lan, Bin Wang, Yanhong Wang, Hongyan Jia, Yunxiang Li, Jie Dong, Jing Li
article en

Abstract

Triple-negative breast cancer (TNBC), which lacks targeted treatment options, continues to pose a major clinical hurdle. This study investigated the molecular complexities of TNBC, with a focus on m7G modifications, the immune microenvironment, and their influence on patient prognosis. An integrated analysis of m7G-related genes facilitated the creation of a risk model based on differentially expressed m7G-related genes, which effectively stratified patients with TNBC into low- and high-risk groups, with the low-risk group demonstrating a marked survival advantage. Immune cell infiltration analysis revealed substantial differences between risk groups, suggesting a potential association between m7G-related risk and immune landscape modulation. Genomic profiling identified distinct mutational patterns, with TP53 mutations predominant in the high-risk group and PIK3CA mutations in the low-risk group. Chemosensitivity analysis indicated the potential for tailored drug responses, highlighting the utility of the m7G-related risk score in guiding personalized therapeutic approaches. Additionally, a nomogram incorporating the risk score, stage, and M stage was developed, providing a valuable tool for predicting 3-, 5-, and 10-year survival probabilities.

Scientific ReportsVol. 15(1)
Shanxi Medical University (CN), Shanxi University (CN), First Hospital of Shanxi Medical University (CN)
Shanxi Scholarship Council of China, Shanxi Medical University
Openalex Percentile: Top 73%
RNA modifications and cancer
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