MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning.

Journal: International journal of molecular sciences
Published Date: Apr 19, 2021

Abstract

BACKGROUND: Disruption of alternative splicing (AS) is frequently observed in cancer and might represent an important signature for tumor progression and therapy. Exon skipping (ES) represents one of the most frequent AS events, and in non-small cell lung cancer (NSCLC) MET exon 14 skipping was shown to be targetable.

Authors

  • Vladimir Nosi
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Alessandrì Luca
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Melissa Milan
    Candiolo Cancer Institute-FPO, IRCCS, 10060 Candiolo, Italy.
  • Maddalena Arigoni
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Silvia Benvenuti
    Candiolo Cancer Institute-FPO, IRCCS, 10060 Candiolo, Italy.
  • Davide Cacchiarelli
    Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.
  • Marcella Cesana
    Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.
  • Sara Riccardo
    Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.
  • Lucio Di Filippo
    Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.
  • Francesca Cordero
    Department of Computer Sciences, University of Torino, 10149 Torino, Italy.
  • Marco Beccuti
    Department of Computer Sciences, University of Torino, 10149 Torino, Italy.
  • Paolo M Comoglio
    IFOM-FIRC Institute of Molecular Oncology, 20139 Milano, Italy.
  • Raffaele A Calogero
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.

Keywords

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