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The molecular landscape of the University of Michigan laryngeal squamous cell carcinoma cell line panel

  • Jacqueline E. Mann
  • , Aditi Kulkarni
  • , Andrew C. Birkeland
  • , Judy Kafelghazal
  • , Julia Eisenberg
  • , Brittany M. Jewell
  • , Megan L. Ludwig
  • , Matthew E. Spector
  • , Hui Jiang
  • , Thomas E. Carey
  • , J. Chad Brenner

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Laryngeal squamous cell carcinomas (LSCCs) have a high risk of recurrence and poor prognosis. Patient-derived cancer cell lines remain important preclinical models for advancement of new therapeutic strategies, and comprehensive characterization of these models is vital in the precision medicine era. Methods: We performed exome and transcriptome sequencing as well as copy number analysis of a panel of LSCC-derived cell lines that were established at the University of Michigan and are used in laboratories worldwide. Results: We observed a complex array of alterations consistent with those reported in The Cancer Genome Atlas head and neck squamous cell carcinoma project, including aberrations in PIK3CA, EGFR, CDKN2A, TP53, and NOTCH family and FAT1 genes. A detailed analysis of FAT family genes and associated pathways showed disruptions to these genes in most cell lines. Conclusions: The molecular profiles we have generated indicate that as a whole, this panel recapitulates the molecular diversity observed in patients and will serve as useful guides in selecting cell lines for preclinical modeling.

Original languageEnglish (US)
Pages (from-to)3114-3124
Number of pages11
JournalHead and Neck
Volume41
Issue number9
DOIs
StatePublished - Sep 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Wiley Periodicals, Inc.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cell lines
  • exome sequencing
  • HNSCC
  • laryngeal cancer
  • precision medicine
  • UM-SCC

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