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Nature communications · 2023

Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma.

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Calderaro Julien, Ghaffari Laleh Narmin, Zeng Qinghe, Maille Pascale, Favre Loetitia, Pujals Anaïs, Klein Christophe, Bazille Céline, Heij Lara R, Uguen Arnaud, Luedde Tom, Di Tommaso Luca, Beaufrère Aurélie, Chatain Augustin, Gastineau Delphine, Nguyen Cong Trung, Nguyen-Canh Hiep, Thi Khuyen Nguyen, Gnemmi Viviane, Graham Rondell P, Charlotte Frédéric, Wendum Dominique, Vij Mukul, Allende Daniela S, Aucejo Federico, Diaz Alba, Rivière Benjamin, Herrero Astrid, Evert Katja, Calvisi Diego Francesco, Augustin Jérémy, Leow Wei Qiang, Leung Howard Ho Wai, Boleslawski Emmanuel, Rela Mohamed, François Arnaud, Cha Anthony Wing-Hung, Forner Alejandro, Reig Maria, Allaire Manon, Scatton Olivier, Chatelain Denis, Boulagnon-Rombi Camille, Sturm Nathalie, Menahem Benjamin, Frouin Eric, Tougeron David, Tournigand Christophe, Kempf Emmanuelle, Kim Haeryoung, Ningarhari Massih, Michalak-Provost Sophie, Gopal Purva, Brustia Raffaele, Vibert Eric, Schulze Kornelius, Rüther Darius F, Weidemann Sören A, Rhaiem Rami, Pawlotsky Jean-Michel, Zhang Xuchen, Luciani Alain, Mulé Sébastien, Laurent Alexis, Amaddeo Giuliana, Regnault Hélène, De Martin Eleonora, Sempoux Christine, Navale Pooja, Westerhoff Maria, Lo Regina Cheuk-Lam, Bednarsch Jan, Gouw Annette, Guettier Catherine, Lequoy Marie, Harada Kenichi, Sripongpun Pimsiri, Wetwittayaklang Poowadon, Loménie Nicolas, Tantipisit Jarukit, Kaewdech Apichat, Shen Jeanne, Paradis Valérie, Caruso Stefano, Kather Jakob Nikolas

Аннотация

Primary liver cancer arises either from hepatocytic or biliary lineage cells, giving rise to hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICCA). Combined hepatocellular- cholangiocarcinomas (cHCC-CCA) exhibit equivocal or mixed features of both, causing diagnostic uncertainty and difficulty in determining proper management. Here, we perform a comprehensive deep learning-based phenotyping of multiple cohorts of patients. We show that deep learning can reproduce the diagnosis of HCC vs. CCA with a high performance. We analyze a series of 405 cHCC-CCA patients and demonstrate that the model can reclassify the tumors as HCC or ICCA, and that the predictions are consistent with clinical outcomes, genetic alterations and in situ spatial gene expression profiling. This type of approach could improve treatment decisions and ultimately clinical outcome for patients with rare and biphenotypic cancers such as cHCC-CCA.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты