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

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.

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Publication Details

Journal
Discover Oncology
Published
2026-05-30
DOI
https://doi.org/10.1007/s12672-026-05301-9
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

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

Guanqi Zhang, C Y Zhang, Rongqiang Liu, Moran Li et al.
Discover Oncology
Inflammatory Biomarkers in Disease Prognosis
article

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

Guanqi Zhang, C Y Zhang, Rongqiang Liu, Moran Li, Xun Li, Sihui Zhang, Jia Yu
article en

Abstract

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.

Discover Oncology
Nantong University (CN), Wuhan University (CN), The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN), Renmin Hospital of Wuhan University (CN)
No poverty, Zero hunger
Openalex Percentile: Top 6%
Inflammatory Biomarkers in Disease Prognosis
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Prognostic value of inflammation-immunity-nutrition score in patients with cancers — Guanqi Zhang, C Y Zhang, et al. · Discover Oncology (2026) | TGRS Research Map | TGRS