F
Fabio De Martino
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 5
Citations - 53
Fabio De Martino is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Cyproterone acetate & Breast cancer. The author has an hindex of 2, co-authored 5 publications receiving 19 citations.
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Journal ArticleDOI
Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1.
George Sflomos,Laura Battista,Patrick Aouad,Fabio De Martino,Valentina Scabia,Athina Stravodimou,Ayyakkannu Ayyanan,Assia Ifticene-Treboux,Philipp Bucher,Maryse Fiche,Giovanna Ambrosini,Cathrin Brisken,Rls +12 more
TL;DR: Invasive lobular carcinoma (ILC) is the most frequent special histological subtype of breast cancer, typically characterized by loss of E-cadherin this article.
Journal ArticleDOI
A high resolution LC-MS targeted method for the concomitant analysis of 11 contraceptive progestins and 4 steroids.
Csaba Laszlo,Jonathan Paz Montoya,Marie Shamseddin,Fabio De Martino,A Béguin,Rene Nellen,Stephen J. Bruce,Marc Moniatte,Hugues Henry,Cathrin Brisken +9 more
TL;DR: A high resolution liquid chromatography mass spectrometry (LC-MS) targeted method for the simultaneous quantification of 11 synthetic progestins widely used in oral contraceptives and 4 endogenous steroid hormones, progesterone, testosterone, androstenedione, and cortisol in blood samples is developed and validated.
Journal ArticleDOI
Contraceptive progestins with androgenic properties stimulate breast epithelial cell proliferation.
Marie Shamseddin,Fabio De Martino,Céline Constantin,Valentina Scabia,Anne-Sophie Lancelot,Csaba Laszlo,Ayyakkannu Ayyannan,Laura Battista,Wassim Raffoul,Marie-Christine Gailloud-Matthieu,Philipp Bucher,Maryse Fiche,Giovanna Ambrosini,George Sflomos,Cathrin Brisken,Cathrin Brisken +15 more
TL;DR: In this paper, the effects of progesterone and progestins on breast epithelial cell proliferation and breast cancer risk were investigated using intraductal xenografts from 36 women.
Journal ArticleDOI
Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
Quentin Juppet,Fabio De Martino,Elodie Marcandalli,Martin Weigert,Olivier Burri,Michael Unser,Cathrin Brisken,Daniel Sage +7 more
TL;DR: Single Cell Classifier (SCC) as discussed by the authors is a data-driven deep learning-based computational tool that provides an innovative approach for automated cell species discrimination based on a multi-step process entailed nuclei segmentation and single cell classification.
Proceedings ArticleDOI
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts
TL;DR: The Mouse INtraDuctal (MIND) model is used, an innovative patient-derived xenograft model, to characterize global gene expression changes, which are triggered by stimulation of dihydrotestosterone (DHT) and progesterone (P4) in vivo.