Background <p>The inflammation-immune-nutrition score (IINS) plays a significant role in predicting survival outcomes across various cancers. The study aimed to comprehensively evaluate the prognostic value of IINS in different cancers through a meta-analysis.</p> Methods <p>A systematic literature search was conducted in PubMed, Embase, Web of Science and Scopus databases for eligible studies published up to March 15, 2026. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to assess the associations with overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and recurrence-free survival (RFS).</p> Results <p>A total of 10 studies from 8 articles encompassing 3979 patients were included in the analysis. Pooled analysis revealed that high IINS was significantly associated with poor OS (HR:2.54, 95% CI:1.84–3.50), PFS (HR:1.87,95% CI:1.06–3.31), DFS (HR:2.30,95% CI: 1.84–2.89) and RFS (HR:3.50,95% CI: 2.06–5.93). Subgroup analysis further demonstrated the strong prognostic value of high IINS for hepatocellular carcinoma and endometrial cancer.</p> Conclusions <p>The IINS could serve as an effective prognostic indicator for patients with cancers.</p>

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Prognostic value of inflammation-immunity-nutrition score in patients with cancers

  • Sihui Zhang,
  • Guanqi Zhang,
  • Chenxuan Zhang,
  • Rongqiang Liu,
  • Man Li,
  • Xun Li,
  • Jia Yu

摘要

Background

The inflammation-immune-nutrition score (IINS) plays a significant role in predicting survival outcomes across various cancers. The study aimed to comprehensively evaluate the prognostic value of IINS in different cancers through a meta-analysis.

Methods

A systematic literature search was conducted in PubMed, Embase, Web of Science and Scopus databases for eligible studies published up to March 15, 2026. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to assess the associations with overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and recurrence-free survival (RFS).

Results

A total of 10 studies from 8 articles encompassing 3979 patients were included in the analysis. Pooled analysis revealed that high IINS was significantly associated with poor OS (HR:2.54, 95% CI:1.84–3.50), PFS (HR:1.87,95% CI:1.06–3.31), DFS (HR:2.30,95% CI: 1.84–2.89) and RFS (HR:3.50,95% CI: 2.06–5.93). Subgroup analysis further demonstrated the strong prognostic value of high IINS for hepatocellular carcinoma and endometrial cancer.

Conclusions

The IINS could serve as an effective prognostic indicator for patients with cancers.