ArticleFrontiers in immunology2023
Identification of a necroptosis-related gene signature as a novel prognostic biomarker of cholangiocarcinoma.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- ANXA1 promotes intrahepatic cholangiocarcinoma proliferation and growth by regulating glutamine metabolism through GOT1 stabilization.Journal of experimental & clinical cancer research : CR · 2025Article
- Construction of a novel cuproptosis-related gene signature and integrative analyses in cholangiocarcinoma.Heliyon · 2025Article
- Integrated multi-optosis model for pan-cancer candidate biomarker and therapy target discovery.Frontiers in bioinformatics · 2025Article
- Emerging insights into ferroptosis in cholangiocarcinoma (Review).Oncology letters · 2024Review
- Necroptosis-related KLRB1 was a potent tumor suppressor and immunotherapy determinant in breast cancer.Heliyon · 2024Article
- Identification of Candidate Hub Genes and Drug Targets for Cholangiocarcinoma via Juhua (Chrysanthemum Morifolium) Bioactivity and Molecular Docking: A Bioinformatics Approach.Cancer management and research · 2024Article
- Machine Learning-based Development and Validation of a Cell Senescence Predictive and Prognostic Signature in Intrahepatic Cholangiocarcinoma.Journal of Cancer · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cholangiocarcinoma (CHOL) is the most prevalent type of malignancy and the second most common form of primary liver cancer, resulting in high rates of morbidity and mortality. Necroptosis is a type of regulated cell death that appears to be involved in the regulation of several aspects of cancer biology, including tumorigenesis, metastasis, and cancer immunity. This study aimed to construct a necroptosis-related gene (NRG) signature to investigate the prognosis of CHOL patients using an integrated bioinformatics analysis. Methods: CHOL patient data were acquired from the Gene Expression Omnibus (GEO) (GSE89748, GSE107943) and The Cancer Genome Atlas (TCGA) databases, with NRGs data from the necroptosis pathway in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Univariate and multivariate regression analyses were performed to establish the NRG signatures. Kaplan-Meier (KM) curves were used to evaluate the prognosis of patients with CHOL. Functional enrichment analysis was performed to identify key NRG-associated biological signaling pathways. We also applied integrative multi-omics analysis to the high- and low-risk score groups. Spearman's rank correlation was used to clarify the relationship between the NRG signature and immune infiltration. Results: 65 differentially expressed (DE) NRGs were screened, five of which were selected to establish the prognostic signature of NRG Conclusion: These findings demonstrate that the five-NRG prognostic signature for CHOL patients is reasonably accurate and valid, and it may prove to be of considerable value for the treatment and prognosis of CHOL patients in the future.
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