Literature DB >> 30268487

Highlights of the 14th international mesothelioma interest group meeting: Pathologic separation of benign from malignant mesothelial proliferations and histologic/molecular analysis of malignant mesothelioma subtypes.

Andrew Churg1, Kazuki Nabeshima2, Greta Ali3, Rossella Bruno4, Lynnette Fernandez-Cuesta5, Francoise Galateau-Salle6.   

Abstract

OBJECTIVES: The separation of benign from malignant mesothelial proliferations and exact subclassification of mesothelioma subtypes is crucial to determining patient care and prognosis but morphologically can be very difficult.
METHODS: This session of the 2018 IMIG meeting addressed these problems.
RESULTS: A new immunohistochemical marker, methylthioadenosine phosphorylase, was shown to correlate well with CDKN2A FISH and is cheaper and faster to run. A 117 gene expression panel also provided good separation on both tissue biopsy and cytology samples. Review of a series of mesotheliomas thought to be biphasic produced only a moderate level of agreement among expert pathologists with some cases being classified as purely epithelioid or sarcomatoid; these classifications had prognostic significance. The entity called transitional mesothelioma was found to behave exactly like sarcomatoid mesothelioma. RNA-seq analysis of a large series of mesotheliomas from a public database showed that, genetically, the morphologic breakdown into epithelioid, sarcomatoid, or biphasic mesotheliomas is artificial because there is a continuous spectrum of genomic changes. There are now criteria for the diagnosis of mesothelioma in situ and this is potentially important, since such cases might be curable.
CONCLUSIONS: This session documented new morphological and molecular approaches to separating benign from malignant mesothelial proliferations and to subclassifying malignant mesoteheliomas in clinical relevant ways.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BAP1; CDKN2A FISH; Malignant mesothelioma; Methylthioadenosine phosphorylase; Reactive mesothelial proliferations

Mesh:

Substances:

Year:  2018        PMID: 30268487     DOI: 10.1016/j.lungcan.2018.07.041

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  6 in total

1.  Hemizygous loss of NF2 detected by fluorescence in situ hybridization is useful for the diagnosis of malignant pleural mesothelioma.

Authors:  Yoshiaki Kinoshita; Makoto Hamasaki; Masayo Yoshimura; Shinji Matsumoto; Akinori Iwasaki; Kazuki Nabeshima
Journal:  Mod Pathol       Date:  2019-06-23       Impact factor: 7.842

2.  Utility of methylthioadenosine phosphorylase immunohistochemical deficiency as a surrogate for CDKN2A homozygous deletion in the assessment of adult-type infiltrating astrocytoma.

Authors:  Kaishi Satomi; Makoto Ohno; Yuko Matsushita; Masamichi Takahashi; Yasuji Miyakita; Yoshitaka Narita; Koichi Ichimura; Akihiko Yoshida
Journal:  Mod Pathol       Date:  2020-10-19       Impact factor: 7.842

Review 3.  Pleural mesothelioma classification-update and challenges.

Authors:  Sanja Dacic
Journal:  Mod Pathol       Date:  2021-08-31       Impact factor: 7.842

Review 4.  The Molecular Basis of Malignant Pleural Mesothelioma.

Authors:  Benjamin Wadowski; Assunta De Rienzo; Raphael Bueno
Journal:  Thorac Surg Clin       Date:  2020-09-12       Impact factor: 1.750

5.  Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center.

Authors:  Francoise Galateau Salle; Nolwenn Le Stang; Franck Tirode; Pierre Courtiol; Andrew G Nicholson; Ming-Sound Tsao; Henry D Tazelaar; Andrew Churg; Sanja Dacic; Victor Roggli; Daniel Pissaloux; Charles Maussion; Matahi Moarii; Mary Beth Beasley; Hugues Begueret; David B Chapel; Marie Christine Copin; Allen R Gibbs; Sonja Klebe; Sylvie Lantuejoul; Kazuki Nabeshima; Jean-Michel Vignaud; Richard Attanoos; Luka Brcic; Frederique Capron; Lucian R Chirieac; Francesca Damiola; Ruth Sequeiros; Aurélie Cazes; Diane Damotte; Armelle Foulet; Sophie Giusiano-Courcambeck; Kenzo Hiroshima; Veronique Hofman; Aliya N Husain; Keith Kerr; Alberto Marchevsky; Severine Paindavoine; Jean Michel Picquenot; Isabelle Rouquette; Christine Sagan; Jennifer Sauter; Francoise Thivolet; Marie Brevet; Philippe Rouvier; William D Travis; Gaetane Planchard; Birgit Weynand; Thomas Clozel; Gilles Wainrib; Lynnette Fernandez-Cuesta; Jean-Claude Pairon; Valerie Rusch; Nicolas Girard
Journal:  J Thorac Oncol       Date:  2020-03-09       Impact factor: 15.609

Review 6.  Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review.

Authors:  Apeksha Koul; Rajesh K Bawa; Yogesh Kumar
Journal:  Arch Comput Methods Eng       Date:  2022-09-28       Impact factor: 8.171

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.