ArticleHepatology international2024
Identification of PANoptosis-relevant subgroups and predicting signature to evaluate the prognosis and immune landscape of patients with biliary tract cancer.
Article in Hepatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Immunotherapy checkpoint inhibitor-combination therapy versus chemotherapy alone among Chinese population in cholangiocarcinoma treatment: a systematic review and meta-analysis.European journal of clinical pharmacology · 2026Pooled it
- PANoptosis in the pathogenesis of myelodysplastic syndromes.Molecular oncology · 2026Review
- Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma.Annals of clinical and translational neurology · 2026Article
- PANoptosis: potential new targets and therapeutic prospects in digestive diseases.Apoptosis : an international journal on programmed cell death · 2025Review
- PANoptosis in cancer: bridging molecular mechanisms to therapeutic innovations.Cellular & molecular immunology · 2025Review
- Long non-coding RNA AC133552.2: biomarker and therapeutic target in osteosarcoma via PANoptosis gene screening.Scientific reports · 2025Article
- The molecular mechanisms, roles, and potential applications of PANoptosis in cancer treatment.Frontiers in immunology · 2025Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundThis study conducted molecular subtyping of biliary tract cancer patients based on 19 PANoptosis-related gene signatures.
methodsThrough consensus clustering, patients were categorized into two subtypes, A and B. By integrating multi-omics data and clinical information from different cohorts, we elucidated the association between different subtypes of biliary tract cancer and patient prognosis, which correlated with the immune infiltration characteristics of patients.
resultsLASSO regression analysis was performed on the 19 gene signatures, and we constructed and validated a 9-gene risk score prognostic model that accurately predicts the overall survival rate of different biliary tract cancer patients. Additionally, we developed a predictive nomogram demonstrating the clinical utility and robustness of our model. Further analysis of the risk score-based immune landscape highlighted potential associations with immune cell infiltration, chemotherapy, and immune therapy response.
conclusionOur study provides valuable insights into personalized treatment strategies for biliary tract cancer, which are crucial for improving patient prognosis and guiding treatment decisions in clinical practice.
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