A large collection of integrated genomically characterized patient-derived xenografts highlighting the heterogeneity of triple-negative breast cancer.
Florence CoussyLeanne de KoningMarion LavigneVirginie BernardBerengere OuineAnais BoulaiRania El BottyAhmed DahmaniElodie MontaudonFranck AssayagLudivine MorissetLea HuguetLaura SourdPierre PainsecCéline CallensSophie Chateau-JoubertJean-Luc ServelyThibaut LarcherCecile ReyesElodie GirardGaelle PierronCecile LaurentSophie VacherSylvain BaulandeSamia MelaabiAnne Vincent-SalomonDavid GentienVeronique DierasIvan BiecheElisabetta MarangoniPublished in: International journal of cancer (2019)
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.
Keyphrases
- copy number
- genome wide
- mitochondrial dna
- poor prognosis
- combination therapy
- end stage renal disease
- dna methylation
- gene expression
- single cell
- chronic kidney disease
- ejection fraction
- newly diagnosed
- small molecule
- clinical trial
- machine learning
- peritoneal dialysis
- long non coding rna
- emergency department
- deep learning
- young adults
- squamous cell carcinoma
- drug induced
- study protocol
- data analysis
- squamous cell
- protein kinase
- bioinformatics analysis