P14/ARF-Positive Malignant Pleural Mesothelioma: A Phenotype With Distinct Immune Microenvironment

Federica Pezzuto1, Francesca Lunardi1, Luca Vedovelli1

  • 1Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.

Frontiers in Oncology
|April 8, 2021
PubMed
Abstract

Insights

The tumor suppressor p14/ARF expression in malignant pleural mesothelioma (MPM) correlates with aggressive features and PD-L1 levels. p14/ARF-negative MPMs may show less response to immunotherapy, impacting patient selection for clinical trials.

Area of Science:

  • Oncology
  • Immunology
  • Pathology

Background:

  • The CDKN2A gene, encoding tumor suppressors p16/INK4A and p14/ARF, is frequently altered in malignant pleural mesothelioma (MPM).
  • The specific role of p14/ARF in MPM pathogenesis and its relationship with the tumor immune microenvironment remain unclear.
  • This study investigates the association between p14/ARF expression, MPM morphology, and the inflammatory tumor microenvironment.

Purpose of the Study:

  • To determine the relationship between p14/ARF expression and clinicopathological features in MPM.
  • To investigate the correlation of p14/ARF expression with the immune cell infiltrate in the tumor microenvironment.
  • To explore the potential implications of p14/ARF expression for immunotherapy response in MPM.

Main Methods:

  • Pathological assessment of 76 chemo-naive MPM biopsies, including histotype, grade, and mitosis.
  • Immunohistochemical evaluation of p14/ARF, PD-L1 (TPS), and Ki-67.
  • Quantification of immune cell populations (CD3+, CD4+, CD8+ T cells, CD20+ B cells, CD68+, CD163+ macrophages) in intratumoral and peritumoral areas.
  • Application of a random forest machine-learning algorithm (Boruta) to identify predictors of p14/ARF expression.

Main Results:

  • p14/ARF expression was evaluated in 68 MPM patients; 21% showed strong positivity.
  • p14/ARF-positive epithelioid MPMs exhibited higher nuclear grade (G3) and increased PD-L1 expression (≥50%).
  • Machine learning confirmed PD-L1 as a significant predictor of p14/ARF expression across all histotypes.

Conclusions:

  • p14/ARF-positive epithelioid MPMs may represent a more aggressive phenotype associated with higher nuclear grade and PD-L1 expression.
  • p14/ARF-negative MPMs might have an immune microenvironment less responsive to immune checkpoint inhibitors, indicated by low PD-L1 and CD4, and high CD163.
  • The link between p14/ARF and PD-L1 suggests potential pathway interactions, warranting further investigation for patient selection in immunotherapy trials.