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

  • Wenhua Wang The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
  • Yanbin Jin Department of Obstetrics and Gynecology, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China
  • Yongxiu Yang The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
Keywords: Correlation; Endometrial cancer; Pan-immune inflammation value; Prognosis; T cell function

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.

Published
2026-06-14
Section
Articles