| Literature DB >> 30859564 |
Florence Coussy1,2,3, Leanne de Koning4, Marion Lavigne5, Virginie Bernard1, Berengere Ouine4, Anais Boulai1, Rania El Botty2, Ahmed Dahmani2, Elodie Montaudon2, Franck Assayag2, Ludivine Morisset2, Lea Huguet2, Laura Sourd2, Pierre Painsec2, Celine Callens1, Sophie Chateau-Joubert6, Jean-Luc Servely6, Thibaut Larcher7, Cecile Reyes8, Elodie Girard9, Gaelle Pierron10, Cecile Laurent11, Sophie Vacher1, Sylvain Baulande12, Samia Melaabi1, Anne Vincent-Salomon5, David Gentien8, Veronique Dieras3, Ivan Bieche1,13, Elisabetta Marangoni2.
Abstract
Triple-negative breast cancer (TNBC) represents 10% of all breast cancers and is a very heterogeneous disease. Globally, women with TNBC have a poor prognosis, and the development of effective targeted therapies remains a real challenge. Patient-derived xenografts (PDX) are clinically relevant models that have emerged as important tools for the analysis of drug activity and predictive biomarker discovery. The purpose of this work was to analyze the molecular heterogeneity of a large panel of TNBC PDX (n = 61) in order to test targeted therapies and identify biomarkers of response. At the gene expression level, TNBC PDX represent all of the various TNBC subtypes identified by the Lehmann classification except for immunomodulatory subtype, which is underrepresented in PDX. NGS and copy number data showed a similar diversity of significantly mutated gene and somatic copy number alteration in PDX and the Cancer Genome Atlas TNBC patients. The genes most commonly altered were TP53 and oncogenes and tumor suppressors of the PI3K/AKT/mTOR and MAPK pathways. PDX showed similar morphology and immunohistochemistry markers to those of the original tumors. Efficacy experiments with PI3K and MAPK inhibitor monotherapy or combination therapy showed an antitumor activity in PDX carrying genomic mutations of PIK3CA and NRAS genes. TNBC PDX reproduce the molecular heterogeneity of TNBC patients. This large collection of PDX is a clinically relevant platform for drug testing, biomarker discovery and translational research.Entities:
Keywords: integrated genomic analysis; patient-derived xenograft; targeted therapies; triple-negative breast cancer
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Year: 2019 PMID: 30859564 DOI: 10.1002/ijc.32266
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396