XENOBREAST Trial: A prospective study of xenografts establishment from surgical specimens of patients with triple negative or luminal b breast cancer [version 3; peer review: 2 approved]

Autor: Hugo Veyssière, Judith Passildas, Angeline Ginzac, Sejdi Lusho, Yannick Bidet, Ioana Molnar, Maureen Bernadach, Mathias Cavaille, Nina Radosevic-Robin, Xavier Durando

Publikováno v: F1000Research, Vol 9 (2021)

Introduction: Patient-derived xenografts (PDX) can be used to explore tumour pathophysiology and could be useful to better understand therapeutic response in breast cancer. PDX from mammary tumours are usually made from metastatic tumours. Thus, PDX

Externí odkaz: https://doaj.org/article/02d754ecdaf34879a66a07e365073f48

Durable Response to Crizotinib in a Patient with Pulmonary Adenocarcinoma Harboring MET Intron 14 Mutation: A Case Report

Autor: Brice Leyrat, Hugo Veyssière, Maureen Bernadach, Xavier Durando

Publikováno v: OncoTargets and Therapy
OncoTargets and Therapy, Dove Medical Press, 2021, Volume14, pp.3949-3958. ⟨10.2147/ott.s312889⟩
OncoTargets and therapy

Brice Leyrat,1,2 Xavier Durando,1– 5 Hugo Veyssiere,3– 5 Maureen Bernadach1,3– 5 1Département d’Oncologie Médicale, Centre Jean Perrin, Clermont-Ferrand, 63011, France; 2Université Clermont Auvergne, UFR Médecine, Cler

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b7122935b2a39ef625b42e318e07459
https://hal.archives-ouvertes.fr/hal-03294091/file/ott-14-3949.pdf

Artificial intelligence solution to classify pulmonary nodules on CT

Autor: Nathalie Lassau, N. Abassebay, I. Hammouamri, A. Loubet, M. Deloche, J.-A. Broyelle, D. Blanc, J. Brehant, M. Fiammante, Mathieu Lederlin, Guillaume Chassagnon, Gilbert Ferretti, Mickaël Ohana, V. Racine, Yann Diascorn, François Laurent, Hugo Veyssière, Pierre-Yves Brillet, Xavier Durando, J. Behr, Antoine Khalil, E. Verdier, Imad Bousaid, Caroline Caramella, E. Sinitambirivoutin, T. Besson, P. Cuingnet, Alexandre Sadate, Lucie Cassagnes, Angeline Ginzac

Publikováno v: Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging, 2020, 101 (12), pp.803-810. ⟨10.1016/j.diii.2020.10.004⟩
Diagnostic and Interventional Imaging, Elsevier, 2020, 101 (12), pp.803-810. ⟨10.1016/j.diii.2020.10.004⟩

International audience; Purpose: The purpose of this study was to create an algorithm to detect and classify pulmonary nodules in two categories based on their volume greater than 100 mm3 or not, using machine learning and deep learning techniques.Ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1662c4a225e9c5a2d52de82a1d98e497
https://hal.science/hal-03054987/file/S2211568420302497.pdf

XENOBREAST Trial: A prospective study of xenografts establishment from surgical specimens of patients with triple negative or luminal b breast cancer

Autor: Hugo Veyssière, Sejdi Lusho, Judith Passildas, Mathias Cavaillé, Angeline Ginzac, Nina Radosevic-Robin, Ioana Molnar, Xavier Durando, Yannick Bidet, Maureen Bernadach

Publikováno v: F1000Research
F1000Research, Faculty of 1000, 2020, 9, pp.1219. ⟨10.12688/f1000research.26873.1⟩

Introduction: Patient-derived xenografts (PDX) can be used to explore tumour pathophysiology and could be useful to better understand therapeutic response in breast cancer. PDX from mammary tumours are usually made from metastatic tumours. Thus, PDX

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21edefbb1a281895c42925cb192cbc5b
https://hal.archives-ouvertes.fr/hal-03038361