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Characteristics of Long-Term Survivors With Peritoneal Mesothelioma - Insights From the National Cancer Database

  • 0Department of Surgery, Memorial Healthcare System, Hollywood, FL, USA.
The American Surgeon +

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June 17, 2025

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June 17, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identified key factors predicting long-term survival (LTS) in peritoneal mesothelioma (PM) patients. Female sex, younger age, and specific treatments like radical surgery are associated with better outcomes for PM cancer survivors.

Area Of Science

  • Oncology
  • Cancer Research
  • Epidemiology

Background

  • Peritoneal mesothelioma (PM) is a rare cancer with high mortality.
  • Limited research exists on factors influencing long-term survival (LTS) in PM patients.
  • The National Cancer Database (NCDB) has not been previously utilized to examine PM survival predictors.

Purpose Of The Study

  • To identify characteristics associated with long-term survival (LTS) in peritoneal mesothelioma (PM) patients.
  • To develop and validate a nomogram predicting LTS probability in PM patients.
  • To enhance prognostication and guide personalized treatment strategies for PM.

Main Methods

  • Analysis of the National Cancer Database (NCDB) from 2006-2019.
  • Inclusion of 3,636 patients diagnosed with peritoneal mesothelioma (PM).
  • Utilized univariate and multivariate logistic analyses to identify predictors of LTS (≥5 years survival).

Main Results

  • 17.8% of PM patients achieved LTS (median survival ~92 months vs. 11.7 months for non-LTS).
  • Factors associated with LTS included female sex, younger age, private insurance, academic/high-volume institution treatment, no comorbidities, radical surgery, chemotherapy, grade 1 disease, negative lymph nodes, and no lymphovascular invasion.
  • A nomogram incorporating age, gender, and surgical margins was developed.

Conclusions

  • A subset of peritoneal mesothelioma patients can achieve long-term survival with appropriate care and patient selection.
  • Identifying critical factors influencing LTS enables personalized treatment strategies and improved prognostication.
  • Further research is needed to refine patient selection for optimal LTS outcomes.

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