ArticleAging2020
Intra-tumoral heterogeneity and immune responses predicts prognosis of gastric cancer.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- A machine learning-derived intratumoral heterogeneity-related signature predicts the prognosis for and therapeutic response in patients with skin cutaneous melanoma.Translational cancer research · 2026Article
- Targeting the remodeled peritoneal ecosystem: a paradigm shift from tumor cells to the microenvironment in gastric cancer peritoneal metastasis.Frontiers in immunology · 2026Review
- The genomic and immune landscapes of gastric cancer and their correlations with HER2 amplification and PD-L1 expression.Cancer medicine · 2023Article
- Mutant-allele dispersion correlates with prognosis risk in patients with advanced non-small cell lung cancer.Journal of cancer research and clinical oncology · 2023Article
- The prognostic value ofCancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Combination of AKT1 and CDH1 mutations predicts primary resistance to immunotherapy in dMMR/MSI-H gastrointestinal cancer.Journal for immunotherapy of cancer · 2022Article
- Prognostic Model and Immune Infiltration of Ferroptosis Subcluster-Related Modular Genes in Gastric Cancer.Journal of oncology · 2022Article
- Differential Infiltration of Immune Cells Driven by Tumor Heterogeneity Reveals Two Immune Subtypes in Lung Adenocarcinoma.Frontiers in genetics · 2022Article
- Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemotherapy resistance eventually develops in patients with gastric cancer (GC). Intra-tumoral heterogeneity (ITH) refers to the intercellular genetic variations and phenotypic diversity that affect responses to drug therapy. We measured ITH using mutant-allele tumor heterogeneity (MATH) derived from whole-exome sequencing data of patients with GC in The Cancer Genome Atlas (TCGA) database. The study included 385 patients from the TCGA database with available data regarding gastrectomy, survival, and whole-exome sequencing. Further analysis was performed in 171 GC patients with available data regarding adjuvant chemotherapy. Multiple factor analysis showed that MATH was an independent predictor of OS (hazard ratio [HR], 1.432; 95% confidence interval [CI], 1.073-1.913;
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Registered trials
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