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.
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История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Galateau Salle Francoise, Le Stang Nolwenn, Tirode Franck, Courtiol Pierre, Nicholson Andrew G, Tsao Ming-Sound, Tazelaar Henry D, Churg Andrew, Dacic Sanja, Roggli Victor, Pissaloux Daniel, Maussion Charles, Moarii Matahi, Beasley Mary Beth, Begueret Hugues, Chapel David B, Copin Marie Christine, Gibbs Allen R, Klebe Sonja, Lantuejoul Sylvie, Nabeshima Kazuki, Vignaud Jean-Michel, Attanoos Richard, Brcic Luka, Capron Frederique, Chirieac Lucian R, Damiola Francesca, Sequeiros Ruth, Cazes Aurélie, Damotte Diane, Foulet Armelle, Giusiano-Courcambeck Sophie, Hiroshima Kenzo, Hofman Veronique, Husain Aliya N, Kerr Keith, Marchevsky Alberto, Paindavoine Severine, Picquenot Jean Michel, Rouquette Isabelle, Sagan Christine, Sauter Jennifer, Thivolet Francoise, Brevet Marie, Rouvier Philippe, Travis William D, Planchard Gaetane, Weynand Birgit, Clozel Thomas, Wainrib Gilles, Fernandez-Cuesta Lynnette, Pairon Jean-Claude, Rusch Valerie, Girard Nicolas
Аннотация
METHODS: A random selection of 49 representative digitalized sections from surgical biopsies of TM was reviewed by 16 panelists. We evaluated BAP1 expression and CDKN2A (p16) homozygous deletion. We conducted a comprehensive, integrated, transcriptomic analysis. An unsupervised deep learning algorithm was trained to classify tumors.
RESULTS: The 16 panelists recorded 784 diagnoses on the 49 cases. Even though a Kappa value of 0.42 is moderate, the presence of a TM component was diagnosed in 51%. In 49% of the histological evaluation, the reviewers classified the lesion as EM in 53%, SM in 33%, or BM in 14%. Median survival was 6.7 months. Loss of BAP1 observed in 44% was less frequent in TM than in EM and BM. p16 homozygous deletion was higher in TM (73%), followed by BM (63%) and SM (46%). RNA sequencing unsupervised clustering analysis revealed that TM grouped together and were closer to SM than to EM. Deep learning analysis achieved 94% accuracy for TM identification.
CONCLUSION: These results revealed that the TM pattern should be classified as non-EM or at minimum as a subgroup of the SM type.