Analysis of the Correlation between the Pan-immune Inflammation Value and the Prognosis of Patients with Endometrial Cancer.

Authors

Wenhua Wang, Yanbin Jin, Yongxiu Yang

Published in

Iranian journal of allergy, asthma, and immunology. Volume 25. Issue 4. Pages 565-575. Jun 03, 2026. Epub Jun 03, 2026.

Abstract

Immune and inflammatory factors influence endometrial cancer outcomes, the pan-immune inflammation value (PIV) shows potential but remains underexplored. This study aims to evaluate the relationship between preoperative PIV, T cell subtypes, and surgical prognosis in endometrial cancer patients, providing insights for prognostic markers and predictive models. We conducted a prospective observational study involving 101 endometrial cancer patients from August 2022 to August 2024. Based on prognosis within 6 months post-surgery, patients were divided into good and poor prognosis groups. We compared clinical characteristics, inflammatory indices, and T cell immune profiles between the groups. The mean age of participants was 50.12 years, with 23 patients experiencing a poor prognosis. The poor prognosis group exhibited significantly higher proportions of advanced International Federation of Gynecology and Obstetrics (FIGO) stage, larger tumor diameter, elevated neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), and PIV. Conversely, this group showed lower proportions receiving neoadjuvant chemotherapy, CD4+ T cells, and CD4+CD8+ T cell ratios. Notably, elevated PIV emerged as an independent risk factor for poor prognosis, while increased CD4+ T cell proportion and CD4+CD8+ ratio were protective. PIV is significantly associated with poor prognosis in endometrial cancer, serving as an independent risk factor. Higher CD4+ T cell counts and CD4+:CD8+ ratios provide protective benefits. The constructed logistic regression model demonstrates strong predictive capability for post-surgical outcomes. However, limitations, including sample size and short follow-up, necessitate further investigation in larger cohorts.

PMID:
42437316
Bibliographic data and abstract were imported from PubMed on 12 Jul 2026.

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