Genomic Profiling of Biliary Tract Cancer Cell Lines Reveals Molecular Subtypes and Actionable Drug Targets

Autor: Wiphawan Wasenang, Amardeep S. Dhillon, Yvonne Yeung, Temduang Limpaiboon, Dmitri Mouradov, Oliver M. Sieber, Daniel Croagh, Ian Y. Luk, Laura J. Jenkins, Niall C. Tebbutt, George F. Iatropoulos, Toshihide Muramatsu, Camilla M. Reehorst, Andrew Weickhardt, Cameron M. Scott, David K. Lau, Yoshimasa Saito, John M. Mariadason, Mehrdad Nikfarjam, David S. Williams, Fiona Chionh
Rok vydání: 2019
Předmět:
Zdroj: iScience
iScience, Vol 21, Iss, Pp 624-637 (2019)
ISSN: 2589-0042
Popis: Summary Biliary tract cancers (BTCs) currently have no approved targeted therapies. Although genomic profiling of primary BTCs has identified multiple potential drug targets, accurate models are needed for their evaluation. Genomic profiling of 22 BTC cell lines revealed they harbor similar mutational signatures, recurrently mutated genes, and genomic alterations to primary tumors. Transcriptomic profiling identified two major subtypes, enriched for epithelial and mesenchymal genes, which were also evident in patient-derived organoids and primary tumors. Interrogating these models revealed multiple mechanisms of MAPK signaling activation in BTC, including co-occurrence of low-activity BRAF and MEK mutations with receptor tyrosine kinase overexpression. Finally, BTC cell lines with altered ERBB2 or FGFRs were exquisitely sensitive to specific targeted agents, whereas surprisingly, IDH1-mutant lines did not respond to IDH1 inhibitors in vitro. These findings establish BTC cell lines as robust models of primary disease, reveal specific molecular disease subsets, and highlight specific molecular vulnerabilities in these cancers.
Graphical Abstract
Highlights • BTC cell lines harbor similar genomic alterations to primary tumors • Transcriptomic profiling of BTC cell lines identified two molecular subtypes • MAPK signaling is activated in BTC via multiple mechanisms • BTC lines with deregulated ERBB2 or FGFRs respond to specific targeted therapies
Biological Sciences; Genetics; Genomics; Cancer
Databáze: OpenAIRE