September 10, 2025Frontiers in OncologyOpen Access

Molecular clustering and prognostic features based on integrated databases predict survival and immune status in patients with gastric cancer

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Comprehensive bioinformatics analysis predicts survival outcomes in gastric cancer patients, highlighting prognostic biomarkers and immune status.

Elevated prognostic features indicate worse survival outcomes in high-risk gastric cancer patients, emphasizing tailored treatment strategies.
Key genes such as CTHRC1, CST6, and AKR1B1 serve as significant independent prognostic factors, correlating with immune cell functions.
Bioinformatics approach integrating TCGA and GEO data established robust survival prediction models, enabling stratification of patients.
Significant differences in gene expression profiles between normal and cancer tissues suggest potential therapeutic targets and biomarker candidates.

Shi et al. (2025) studied this question.

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September 10, 2025Frontiers in OncologyOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Comprehensive bioinformatics analysis predicts survival outcomes in gastric cancer patients, highlighting prognostic biomarkers and immune status.

Elevated prognostic features indicate worse survival outcomes in high-risk gastric cancer patients, emphasizing tailored treatment strategies.
Key genes such as CTHRC1, CST6, and AKR1B1 serve as significant independent prognostic factors, correlating with immune cell functions.
Bioinformatics approach integrating TCGA and GEO data established robust survival prediction models, enabling stratification of patients.
Significant differences in gene expression profiles between normal and cancer tissues suggest potential therapeutic targets and biomarker candidates.

Shi et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark