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New Insights in Pleural Mesothelioma Classification Update: Diagnostic Traps and Prognostic Implications.

Maria Giovanna MastromarinoAlessandra LenziniVittorio AprileGreta AlìDiana BacchinStylianos KorasidisMarcello Carlo AmbrogiMarco Lucchi
Published in: Diagnostics (Basel, Switzerland) (2022)
The 2021 WHO Classification of Tumors of the Pleura has introduced significant changes in mesothelioma codification beyond the three current histological subtypes-epithelioid, sarcomatoid and biphasic. Major advances since the 2015 WHO classification include nuclear grading and the introduction of architectural patterns, cytological and stromal features for epithelioid diffuse mesothelioma. Mesothelioma in situ has been recognized as a diagnostic category. Demonstration of loss of BAP1 or MTAP by immunohistochemistry, or CDKN2A homozygous deletion by FISH, is valuable in establishing the diagnosis of epithelioid mesothelioma. Recent emerging data proved that grading and histological subtypes have prognostic implications and may be helpful to patient risk stratification and clinical management. Nevertheless, the latest mesothelioma classification increases the already non-negligible diagnostic pitfalls, especially concerning differential diagnosis of pre-invasive tumors. In this review, recent changes in histologic classification of mesothelioma and advances in molecular markers are presented and their relation to diagnostic challenges and prognostic implications is discussed.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • case report
  • low grade
  • data analysis