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Comprehensive molecular portrait using next generation sequencing of resected intestinal-type gastric cancer patients dichotomized according to prognosis

  • Emilio Bria*
  • , S. Pilotto
  • , M. Simbolo
  • , M. Fassan
  • , G. De Manzoni
  • , L. Carbognin
  • , I. Sperduti
  • , M. Brunelli
  • , I. Cataldo
  • , A. Tomezzoli
  • , A. Mafficini
  • , G. Turri
  • , N. Karachaliou
  • , R. Rosell
  • , Giampaolo Tortora
  • , A. Scarpa
  • *Corresponding author
  • Ospedale Policlinico
  • University of Verona
  • IRCCS Istituti fisioterapici ospitalieri - Istituto Regina Elena
  • Pangaea Biotech
  • USP Institut Universitari Dexeus
  • Hospital Germans Trias i Pujol

Research output: Contribution to journalArticle

Abstract

In this study, we evaluated whether the presence of genetic alterations detected by next generation sequencing may define outcome in a prognostically-selected and histology-restricted population of resected gastric cancer (RGC). Intestinal type RGC samples from 34 patients, including 21 best and 13 worst prognostic performers, were studied. Mutations in 50 cancer-associated genes were evaluated. A significant difference between good and poor prognosis was found according to clinico-pathologic factors. The most commonly mutated genes in the whole population were PIK3CA (29.4%), KRAS (26.5%), TP53 (26.5%) MET (8.8%), SMAD4 (8.8%) and STK11 (8.8%). Multiple gene mutations were found in 14/21 (67%) patients with good prognosis, and 3/13 (23%) in the poor prognosis group. A single gene alteration was found in 5/21 (24%) good and 6/13 (46%) poor prognosis patients. No mutation was found in 2/21 (9.5%) and 4/13 (31%) of these groups, respectively. In the overall series, ß-catenin expression was the highest (82.4%), followed by E-Cadherin (76.5%) and FHIT (52.9%). The good prognosis group was characterized by a high mutation rate and microsatellite instability. Our proof-of-principle study demonstrates the feasibility of a molecular profiling approach with the aim to identify potentially druggable pathways and drive the development of customized therapies for RGC.
Original languageEnglish
Pages (from-to)22982-22982
Number of pages1
JournalScientific Reports
Volume6
Issue number1
DOIs
Publication statusPublished - 2016

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

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • 80 and over
  • Aged
  • Class I Phosphatidylinositol 3-Kinases
  • DNA Mutational Analysis
  • Disease-Free Survival
  • Female
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Male
  • Middle Aged
  • Molecular
  • Multidisciplinary
  • Mutation
  • Pathology
  • Phosphatidylinositol 3-Kinases
  • Prognosis
  • Protein-Serine-Threonine Kinases
  • Proto-Oncogene Proteins c-met
  • Proto-Oncogene Proteins p21(ras)
  • Smad4 Protein
  • Stomach Neoplasms
  • Tumor Suppressor Protein p53

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