Cancer Medicine (Mar 2024)

Body composition change indices combined with Prognostic Nutritional Index predicts the clinical outcomes of patients with gastric cancer treated with immune checkpoint inhibitor

  • Guiming Deng,
  • Dayong Zhu,
  • Zhongze Du,
  • Yingwei Xue,
  • Hongjiang Song,
  • Yuanzhou Li

DOI
https://doi.org/10.1002/cam4.7110
Journal volume & issue
Vol. 13, no. 6
pp. n/a – n/a

Abstract

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Abstract Objective This study aimed to investigate the prognostic significance of the Prognostic Nutritional Index (PNI) in conjunction with body composition change indices, namely subcutaneous fat area (SFA) and skeletal muscle index (SMI), with regard to clinical outcomes in patients with gastric cancer (GC) undergoing immune checkpoint inhibitors (ICIs) treatment. Methods This retrospective investigation encompassed patients with comprehensive clinical and pathological data, inclusive of portal phase enhanced CT images. Continuous variables underwent analysis utilizing the Student t‐test or Mann–Whitney U‐test, while categorical variables were assessed employing the Pearson chi‐squared test or Fisher test. Survival outcomes were evaluated using Kaplan–Meier survival curves and the Log‐rank test. Independent prognostic indicators were determined through Cox regression analysis, and a nomogram predicting survival probability for progression‐free survival (PFS) and overall survival (OS) was constructed. Results Within the PNI‐SFA groups, patients in Group 1 exhibited inferior PFS and OS compared to the other two groups. Similarly, among the PNI‐SMI groups, Group 1 patients demonstrated poorer PFS and OS. PNI‐SMI and Eosi were identified as independent prognostic factors through Cox regression analysis. Furthermore, positive associations with patient prognosis were observed for BMI, SAF, SMI, and PNI. Conclusion The comprehensive consideration of PNI‐SFA and PNI‐SMI proved to be a superior prognostic predictor for GC patients undergoing ICI treatment.

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