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A Novel Prognostic Model Based on Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Cancer
Jingxian Mao1, Huaijuan Guo1, Jingjing Yang1
1Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, People's Republic of China.
Cancer Management and Research
|July 15, 2026
Summary
A new prognostic nutritional index (PNI)-systemic immune-inflammation index (SII) score effectively predicts outcomes for cancer patients receiving immune checkpoint inhibitor (ICI) therapy, improving survival predictions.
Area of Science:
- Oncology
- Immunotherapy
- Biomarkers
Background:
- Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) are established cancer prognosis indicators.
- Predictive models for immune checkpoint inhibitor (ICI) therapy outcomes are crucial.
Purpose of the Study:
- To develop and validate a combined PNI-SII score for predicting outcomes in cancer patients treated with ICI therapy.
- To assess the score's ability to stratify overall survival (OS) and progression-free survival (PFS).
Main Methods:
- Retrospective analysis of 350 cancer patients receiving ICI therapy.
- Development of a PNI-SII scoring model (score 0, 1, or 2) based on PNI and SII levels.
- Evaluation of OS and PFS as primary endpoints.
Main Results:
- High PNI correlated with longer OS and PFS; high SII correlated with shorter OS and PFS (p<0.001).
- The PNI-SII score effectively stratified both OS and PFS across the entire cohort and subgroups (p<0.001).
- The score also associated with treatment response and adverse events.
Conclusions:
- The PNI-SII score is a convenient prognostic indicator for cancer patients undergoing ICI therapy.
- Further clinical studies are needed to confirm the PNI-SII model's efficacy.
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