Patient-Derived Xenografts and Matched Cell Lines Identify Pharmacogenomic Vulnerabilities in Colorectal Cancer

Luca Lazzari(Torino e-district), Giorgio Corti(Candiolo Cancer Institute), Gabriele Picco(Wellcome Sanger Institute), Claudio Isella(Candiolo Cancer Institute), Monica Montone(Candiolo Cancer Institute), Pamela Arcella(Candiolo Cancer Institute), Erika Durinikova(Candiolo Cancer Institute), Eugenia R. Zanella(Candiolo Cancer Institute), Luca Novara(Candiolo Cancer Institute), Fabiane Barbosa(Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda), Andrea Cassingena(Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda), Carlotta Cancelliere(Candiolo Cancer Institute), Enzo Médico(Torino e-district), Andrea Sartore‐Bianchi(University of Milan), Salvatore Siena(University of Milan), Mathew J. Garnett(Wellcome Sanger Institute), Andrea Bertotti(Torino e-district), Livio Trusolino(Torino e-district), Federica Di Nicolantonio(Torino e-district), Michael Linnebacher(University of Rostock), Alberto Bardelli(Torino e-district), Sabrina Arena(Torino e-district)
Clinical Cancer Research
August 2, 2019
Cited by 78Open Access
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Abstract

Abstract Purpose: Patient-derived xenograft (PDX) models accurately recapitulate the tumor of origin in terms of histopathology, genomic landscape, and therapeutic response, but some limitations due to costs associated with their maintenance and restricted amenability for large-scale screenings still exist. To overcome these issues, we established a platform of 2D cell lines (xeno-cell lines, XL), derived from PDXs of colorectal cancer with matched patient germline gDNA available. Experimental Design: Whole-exome and transcriptome sequencing analyses were performed. Biomarkers of response and resistance to anti-HER therapy were annotated. Dependency on the WRN helicase gene was assessed in MSS, MSI-H, and MSI-like XLs using a reverse genetics functional approach. Results: XLs recapitulated the entire spectrum of colorectal cancer transcriptional subtypes. Exome and RNA-seq analyses delineated several molecular biomarkers of response and resistance to EGFR and HER2 blockade. Genotype-driven responses observed in vitro in XLs were confirmed in vivo in the matched PDXs. MSI-H models were dependent upon WRN gene expression, while loss of WRN did not affect MSS XLs growth. Interestingly, one MSS XL with transcriptional MSI-like traits was sensitive to WRN depletion. Conclusions: The XL platform represents a preclinical tool for functional gene validation and proof-of-concept studies to identify novel druggable vulnerabilities in colorectal cancer.


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