ArticleAmerican journal of translational research2022
Prognostic value and risk model construction of hypoxic stress-related features in predicting gastric cancer.
Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Article
- Ferroptosis and Ferroptosis-related autophagy: new therapeutic targets for gastric cancer.American journal of cancer research · 2026Review
- Identification of key ferroptosis-related genes associated with the development of gastric cancer: Prognostic models, molecular mechanisms and potential treatment strategies.Oncology letters · 2025Article
- Tumor hypoxia: Classification, detection, and its critical role in cancer progression.Biomolecules & biomedicine · 2025Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHypoxia promotes tumor progression from multiple aspects, including metabolism, proliferation, migration and angiogenesis. Therefore, a thorough understanding of the impact of hypoxia on gastric adenocarcinoma (STAD) is warranted. The aim of the present study was to find a prognostic model of hypoxia in gastric cancer (GC) and its relationship with the immune microenvironment.
methodsDistinct hypoxia-related patterns were identified with an unsupervised consensus clustering algorithm in STAD patients from the Gene Expression Omnibus (GEO) and the cancer genome atlas (TCGA) cohorts. The different biological processes among different hypoxia-related clusters were then explored with the algorithm of single sample gene set enrichment analysis. Then hypoxia-related Hub genes were selected by weighted gene co-expression network analysis (WGCNA) prior to the construction of a hypoxia-related gene prognostic model. The model was constructed using multivariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression and univariate Cox regression analysis. The relationship between immune infiltration and hypoxia-related features was analyzed.
resultsWe identified a hypoxia-related cluster (magenta) by WGCNA and found that different prognosis can be evidently induced by various hypoxia response patterns. LASSO analysis found seven hypoxia-related genes CPZ, LBH, NOX4, NRP1, NOS3, C3orf36 and CDH6, which were then used for the construction of hypoxia-related gene prognostic model. The model was verified by TCGA database and GEO dataset and showing good prognostic value.
conclusionsA novel hypoxia-related prognostic signature was constructed to predict prognosis and correlate with immune infiltration in STAD. Hypoxia-related prognostic features are expected to be a new prognostic tool for GC.
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Identifiers
36628224PMC9827339W4315621351What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.