ArticleScientific reports2019
Prognostic nomogram of hypoxia-related genes predicting overall survival of colorectal cancer-Analysis of TCGA database.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed.
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- Construction and validation of an anoikis-related long non-coding RNA-based prognostic model for head and neck squamous cell carcinoma.Translational cancer research · 2025Article
- Gene Swin transformer: new deep learning method for colorectal cancer prognosis using transcriptomic data.Briefings in bioinformatics · 2025Article
- Heterogeneity of cancer-associated fibroblast subpopulations in prostate cancer: Implications for prognosis and immunotherapy.Translational oncology · 2025Article
- A machine learning-based prognostic model integrating mRNA stemness index, hypoxia, and glycolysis‑related biomarkers for colorectal cancer.Open medicine (Warsaw, Poland) · 2025Article
- Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines.Frontiers in molecular biosciences · 2025Article
- Predictive role of HPGD gene in carcinogenesis and immune environment monitoring in human cervical cancer.Cancer biomarkers : section A of Disease markers · 2024Article
- CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes.Database : the journal of biological databases and curation · 2024Article
- Integrative nomogram model based on anoikis-related genes enhances prognostic evaluation in colorectal cancer.Heliyon · 2024Article
- Analysis of cancer-specific survival in patients with metastatic colorectal cancer: A evidence-based medicine study.World journal of gastrointestinal surgery · 2024Article
- Evolutionary screening of precision oncology biomarkers and its applications in prognostic model construction.iScience · 2024Article
- Identification and validation of a pyroptosis-related prognostic model for colorectal cancer based on bulk and single-cell RNA sequencing data.World journal of clinical oncology · 2024Article
- Identification of osteosarcoma m6A-related prognostic biomarkers using artificial intelligence: RBM15.Scientific reports · 2023Article
- Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study.Frontiers in oncology · 2023Article
- Microdissecting the Hypoxia Landscape in Colon Cancer Reveals Three Distinct Subtypes and Their Potential Mechanism to Facilitate the Development of Cancer.Journal of oncology · 2023Article
- Novel hypoxia-related gene signature for predicting prognoses that correlate with the tumor immune microenvironment in NSCLC.Frontiers in genetics · 2023Article
- A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.BMC oral health · 2022Article
- An analysis of the significance of the Tre2/Bub2/CDC 16 (TBC) domain protein family 8 in colorectal cancer.Scientific reports · 2022Article
- Development and validation of a prognostic 9-gene signature for colorectal cancer.Frontiers in oncology · 2022Article
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10 authors.
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Abstract
Hypoxia-related gene (HRG) expression is associated with survival outcomes of colorectal cancer (CRC). Our aim was developing a nomogram predicting CRC overall survival (OS) with HRGs and clinicopathological factors. The Cancer Genome Atlas (TCGA) database was used as discovery cohort and two Gene Expression Omnibus databases (GSE39582 and GSE41258) served as validation cohorts. A genetic risk score model prognosticating OS was developed using mRNA expression level of HRGs. Nomogram predicting OS was developed using genetic risk score model and clinicopathological variables. The genetic risk score model included four HRGs (HSPA1L, PUM1, UBE2D2, and HSP27) and successfully prognosticated OS of discovery and two validation cohorts (p < 0.001 for TCGA discovery set, p < 0.003 for the GSE39582 and p = 0.042 for the GSE41258 datasets). Nomogram included genetic risk score, age, and TNM stage. Harrell's concordance indexes of the nomogram were higher than those of TNM stage alone in the discovery set (0.77 vs. 0.69, p < 0.001), GSE39582 (0.65 vs. 0.63, p < 0.001), and GSE41258 datasets (0.78 vs. 0.77, p < 0.001). Our nomogram successfully predicted OS of CRC patients. The mRNA expression level of the HRGs might be useful as an ancillary marker for prognosticating CRC outcome.
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