The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study

  • 0Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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Summary

This summary is machine-generated.

Poor preoperative immunonutritional status negatively impacts epithelial ovarian cancer prognosis. Optimizing nutritional and immune markers like the prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) may improve patient survival outcomes.

Area Of Science

  • Oncology
  • Immunonutrition
  • Cancer Prognostics

Background

  • Epithelial ovarian cancer (EOC) prognosis is influenced by various patient factors.
  • Preoperative immunonutritional status is increasingly recognized as a critical determinant of cancer outcomes.

Purpose Of The Study

  • To evaluate the association between preoperative immunonutritional status and prognosis in epithelial ovarian cancer (EOC) patients.
  • To determine the predictive value of the prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) in EOC.

Main Methods

  • A multicenter real-world study involving 922 EOC patients undergoing surgery.
  • Assessment of immunonutritional status using Prognostic Nutritional Index (PNI) and Systemic Immune-Inflammation Index (SII).
  • Cox regression analyses to identify prognostic factors for progression-free survival (PFS) and overall survival (OS).

Main Results

  • In early-stage EOC, high PNI correlated with improved PFS and OS, while high SII was linked to worse PFS.
  • In advanced-stage EOC, PNI and SII independently predicted overall survival (OS).
  • Specific optimal cut-off values for PNI and SII were identified for both early and late-stage cohorts.

Conclusions

  • Suboptimal preoperative immunonutritional status is detrimental to EOC patient prognosis.
  • Interventions targeting immunonutritional status in EOC patients may enhance survival.
  • PNI and SII serve as valuable indicators for predicting outcomes in EOC.