Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning

This study identifies eight tumor mechanics-related genes as prognostic biomarkers for GC through comprehensive bioinformatic analyses. These findings may provide preliminary insights into prognostic assessment and targeted therapy for GC, although further validation with larger sample sizes is required to substantiate their clinical applicability.

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Publication Details

Journal
International Journal of General Medicine
Published
2025-12-01
DOI
https://doi.org/10.2147/ijgm.s557444
Primary Topic
Ferroptosis and cancer prognosis
Type
article
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article

Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning

Qing Liu, A Xu, Minzhi Sun
International Journal of General Medicine
Ferroptosis and cancer prognosis
article

Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning

Qing Liu, A Xu, Minzhi Sun
article en

Abstract

This study identifies eight tumor mechanics-related genes as prognostic biomarkers for GC through comprehensive bioinformatic analyses. These findings may provide preliminary insights into prognostic assessment and targeted therapy for GC, although further validation with larger sample sizes is required to substantiate their clinical applicability.

International Journal of General MedicineVol. Volume 18
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 41%
Ferroptosis and cancer prognosis
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Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning — Qing Liu, A Xu, et al. · International Journal of General Medicine (2025) | TGRS Research Map | TGRS