The revised staging system for malignant pleural mesothelioma based on surveillance, epidemiology, and end results

Shuai Wang1, Ke Ma1, Qun Wang1

  • 1Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180#, Fenglin Road, Xuhui District, Shanghai, 200032, China.

Abstract

Insights

A revised staging system for malignant pleural mesothelioma (MPM) improves patient distribution and survival prediction. This new system offers better stratification for heterogeneous MPM patient populations compared to existing methods.

Area of Science:

  • Oncology
  • Thoracic Surgery
  • Epidemiology

Background:

  • Existing staging systems for malignant pleural mesothelioma (MPM) lack optimal survival stratification for heterogeneous patient groups.
  • There is a need for improved prognostic accuracy in MPM patient management.

Purpose of the Study:

  • To propose adjustments to current staging systems for malignant pleural mesothelioma (MPM).
  • To enhance survival stratification and patient distribution for MPM.

Main Methods:

  • Utilized population-based cohort data from the Surveillance, Epidemiology, and End Results (SEER) database (1973-2014).
  • Employed Kaplan-Meier analysis and proportional hazards models to assess prognostic factors (tumor, lymph node, metastasis, histology).
  • Evaluated staging system accuracy using concordance index and bootstrap resampling.

Main Results:

  • The revised TNM and histology combination staging system achieved a higher concordance index (0.683) than UICC 2010 (0.578) and IASLC 2016 (0.585).
  • Histology subtype and metastasis status (M0 vs. M1, single vs. multiple M1 sites) were significant prognostic indicators.
  • The new system improved patient distribution across stages and demonstrated optimal survival prediction and discrimination.

Conclusions:

  • The revised staging system significantly enhances patient distribution and survival stratification for malignant pleural mesothelioma.
  • This adjusted system offers improved prognostic accuracy for heterogeneous MPM patient populations.