ArticleJournal for immunotherapy of cancer2025
Clinical-radiomics nomogram integrating lymph node radiomic features to predict immunotherapy response in advanced biliary tract cancers.
Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- USP38 promotes breast cancer immune evasion and malignant progression by deubiquitinating and stabilizing PD-L1.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Medical imaging in immunotherapy response evaluation: from RECIST to AI-driven longitudinal models, and the distinction between risk prediction and kinetic diagnosis.Frontiers in medicine · 2026Review
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8 authors.
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Abstract
backgroundImmunotherapy is considered a promising treatment approach for advanced biliary tract cancers (BTCs), but only a small number of patients can respond to immunotherapy. This study aimed to develop and validate a clinical-radiomics nomogram integrating radiomic features from lymph nodes (LNs) for predicting immunotherapy efficacy in advanced BTCs.
methodsA total of 258 patients with advanced BTCs were enrolled, comprising 206 patients in the retrospective cohort and 52 patients in the prospective cohort. Radiomic features were extracted from the LNs. The maximum relevance and minimum redundancy and least absolute shrinkage and selection operator were used to develop the radiomics signature (Rad-score). Univariate analysis and multivariate logistic regression (LR) were used to construct the clinical model. A clinical-radiomics nomogram was constructed using LR. The performance of all the models was analyzed using receiver operating characteristic curves.
resultsNine radiomic features were combined to construct the Rad-score. The nomogram incorporated the six clinical parameters and the Rad-score, and achieved the best discriminative ability with the areas under the curve (AUCs) of 0.899, 0.843 and 0.874 in the training, validation and testing cohorts. The clinical model showed better predictive performance than the Rad-score with the AUCs of 0.834, 0.878 and 0.740 in the training, validation and testing cohorts. The calibration curve and Brier score indicated the goodness-of-fit of the nomogram. Patients with higher nomogram scores had better overall survival (OS) and progression-free survival (PFS) in comparison to those with low scores.
conclusionThe clinical-radiomics nomogram showed promising performance for predicting the response to immunotherapy in patients with advanced BTCs.
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