JMIR Cancer · Published 2026-07-22 · DOI 10.2196/99410
Kangwei Wang, Ce Shi, Dingchao Xia, Ya Lin
Abstract BackgroundEmerging evidence indicates that inflammation plays a crucial role in cancer prognosis. Inflammatory response biomarkers are recognized as promising prognostic factors for mortality in patients with cancer. ObjectiveThis study aims to evaluate the prognostic significance of the systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), inflammatory prognostic index (IPI), and C-reactive protein-albumin-lymphocyte (CALLY) index. MethodsWeighted Cox regression analyses, restricted cubic spline models, Kaplan-Meier survival curves, and receiver operating characteristic analyses were performed to assess the predictive value of the 6 inflammatory markers for mortality. Subgroup analyses and sensitivity analyses were conducted to examine associations within specific subpopulations. ResultsCox regression models demonstrated that SIRI, NLR, IPI, and CALLY were significant predictors of all-cause mortality (tertile 3 vs tertile 1; hazard ratio [HR]: SIRI: 1.72, 95% CI 1.29‐2.27; NLR: 1.33, 95% CI 1.02‐1.74; IPI: 1.48, 95% CI 1.14‐1.92; CALLY: 0.66, 95% CI 0.51‐0.85). IPI (HR 1.91, 95% CI 1.11‐3.27) and CALLY (HR 0.53, 95% CI 0.31‐0.90) were significantly associated with cancer-specific mortality, whereas only SIRI was able to predict cardiovascular mortality (PP ConclusionsSIRI, NLR, IPI, and CALLY represent convenient and cost-effective prognostic tools for predicting mortality in patients with cancer. In contrast, SII and PLR may not be reliable prognostic biomarkers.
Abstract from DOAJ. Public domain (CC0 1.0).
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Wang, K., Shi, C., Xia, D., et al. (2026). Clinical Feasibility of Six Inflammatory Markers for Predicting the Mortality of Patients With Cancer: Longitudinal Study. JMIR Cancer. https://doi.org/10.2196/99410