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Prognostic significance of systemic inflammatory response markers NLR, PLR, and MLR in advanced high-risk endometrial

Liang Ma1, Yumeng Zhang2, Yuheng Shao2

  • 1Department of Radiotherapy, Changzhi People Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi, China.

American Journal of Cancer Research
|April 14, 2025
PubMed
Summary

Elevated pre-treatment inflammatory markers like neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) are linked to poorer prognosis in endometrial cancer patients. A predictive model using these markers aids in assessing patient outcomes.

Keywords:
Inflammatory response markersendometrial cancermultivariate prediction modelprognosisradiotherapy

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Area of Science:

  • Oncology
  • Inflammation Research
  • Cancer Prognostics

Background:

  • Endometrial cancer (EC) is a significant gynecological malignancy.
  • Systemic inflammation plays a role in cancer progression and patient outcomes.
  • Identifying reliable prognostic markers for EC is crucial for treatment planning.

Purpose of the Study:

  • To investigate the association between systemic inflammatory response markers and short-term prognosis in endometrial cancer patients.
  • To evaluate the predictive value of these markers in patients undergoing comprehensive treatment, including postoperative radiotherapy.

Main Methods:

  • Retrospective analysis of 156 endometrial cancer patients receiving postoperative radiotherapy.
  • Determination of optimal cutoff values for hematological indicators using ROC curves.
  • Kaplan-Meier and multivariate regression analyses to identify risk factors and develop a predictive model.

Main Results:

  • A 5-year survival rate of 39.3% was observed.
  • A multivariate prediction model incorporated age, pathological stage, chemotherapy interval, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR).
  • The model demonstrated high predictive accuracy (AUC=0.995, C-index=0.995).

Conclusions:

  • Higher pre-treatment levels of PLR, NLR, and MLR were associated with increased mortality in advanced endometrial cancer patients.
  • A multivariate prediction model utilizing baseline data effectively predicts patient prognosis.
  • These inflammatory markers can serve as valuable prognostic indicators in endometrial cancer management.