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A proteogenomic profile of early lung adenocarcinomas by protein co-expression network and genomic alteration analysis

  • Toshihide Nishimura*
  • , Haruhiko Nakamura
  • , Kien Thiam Tan
  • , De Wei Zhuo
  • , Kiyonaga Fujii
  • , Hirotaka Koizumi
  • , Saeko Naruki
  • , Masayuki Takagi
  • , Naoki Furuya
  • , Yasufumi Kato
  • , Shu Jen Chen
  • , Harubumi Kato
  • , Hisashi Saji
  • *Corresponding author for this work
  • St. Marianna University School of Medicine
  • ACT Genomics, Co. Ltd.
  • Kanto Central Hospital
  • Tokyo Medical University
  • International University of Health and Welfare

Research output: Contribution to journalJournal Article peer-review

5 Scopus citations

Abstract

The tumourigenesis of early lung adenocarcinomas, including adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and lepidic predominant invasive adenocarcinoma (LPA), remains unclear. This study aimed to capture disease-related molecular networks characterising each subtype and tumorigenesis by assessing 14 lung adenocarcinomas (AIS, five; MIA, five; LPA, four). Protein–protein interaction networks significant to the three subtypes were elucidated by weighted gene co-expression network analysis and pairwise G-statistics based analysis. Pathway enrichment analysis for AIS involved extracellular matrix proteoglycans and neutrophil degranulation pathway relating to tumour growth and angiogenesis. Whereas no direct networks were found for MIA, proteins significant to MIA were involved in oncogenic transformation, epithelial-mesenchymal transition, and detoxification in the lung. LPA was associated with pathways of HSF1-mediated heat shock response regulation, DNA damage repair, cell cycle regulation, and mitosis. Genomic alteration analysis suggested that LPA had both somatic mutations with loss of function and copy number gains more frequent than MIA. Oncogenic drivers were detected in both MIA and LPA, and also LPA had a higher degree of copy number loss than MIA. Our findings may help identifying potential therapeutic targets and developing therapeutic strategies to improve patient outcomes.

Original languageEnglish
Article number13604
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - 01 12 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, The Author(s).

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

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