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m7G-related gene signatures determine prognosis in triple-negative breast cancer
Yunxiang Li1, Xin Lan2, Jianqiao Dong2
1Department of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
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.
Insights
This study identifies m7G modifications as key in triple-negative breast cancer (TNBC) prognosis. A novel risk model stratifies patients, guiding personalized therapies and improving survival predictions for this challenging cancer.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Triple-negative breast cancer (TNBC) presents a significant clinical challenge due to a lack of targeted therapies.
- Understanding the molecular drivers and prognostic factors in TNBC is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate the role of m7G modifications in TNBC.
- To develop a prognostic risk model based on m7G-related genes.
- To explore the relationship between m7G modifications, the tumor immune microenvironment, and patient survival.
Main Methods:
- Integrated analysis of m7G-related genes in TNBC.
- Development of a risk stratification model.
- Analysis of immune cell infiltration and genomic mutations.
- Chemosensitivity profiling and nomogram construction.
Main Results:
- A risk model based on differentially expressed m7G-related genes effectively stratified TNBC patients into low- and high-risk groups with distinct survival outcomes.
- Significant differences in immune cell infiltration were observed between risk groups.
- Distinct genomic mutation patterns, including TP53 and PIK3CA, were associated with risk groups.
- The risk score showed potential for predicting chemosensitivity and was incorporated into a nomogram for survival prediction.
Conclusions:
- m7G modifications are significantly associated with TNBC prognosis and the tumor immune microenvironment.
- The developed m7G-related risk score serves as a valuable tool for patient stratification and personalized treatment strategies in TNBC.
- A predictive nomogram incorporating the risk score offers improved accuracy for long-term survival probability estimation in TNBC patients.
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