Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma

  • Michael F. Sharpnack
  • , Nilini Ranbaduge
  • , Arunima Srivastava
  • , Ferdinando Cerciello
  • , Simona G. Codreanu
  • , Daniel C. Liebler
  • , Celine Mascaux
  • , Wayne O. Miles
  • , Robert Morris
  • , Jason E. McDermott
  • , James L. Sharpnack
  • , Joseph Amann
  • , Christopher A. Maher
  • , Raghu Machiraju
  • , Vicki H. Wysocki
  • , Ramaswami Govindan
  • , Parag Mallick
  • , Kevin R. Coombes
  • , Kun Huang
  • , David P. Carbone

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Despite apparently complete surgical resection, approximately half of resected early-stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying who benefits from adjuvant therapy, the drivers of relapse, and novel targets in this setting. Methods: RNA sequencing and liquid chromatography/liquid chromatography–mass spectrometry proteomics data were generated from 51 surgically resected non–small cell lung tumors with known recurrence status. Results: We present a rationale and framework for the incorporation of high-content RNA and protein measurements into integrative biomarkers and show the potential of this approach for predicting risk of recurrence in a group of lung adenocarcinomas. In addition, we characterize the relationship between mRNA and protein measurements in lung adenocarcinoma and show that it is outcome specific. Conclusions: Our results suggest that mRNA and protein data possess independent biological and clinical importance, which can be leveraged to create higher-powered expression biomarkers.

Original languageEnglish
Pages (from-to)1519-1529
Number of pages11
JournalJournal of Thoracic Oncology
Volume13
Issue number10
DOIs
StatePublished - Oct 2018

Keywords

  • Biomarkers
  • Lung adenocarcinoma
  • NSCLC
  • Proteogenomics
  • Proteomics

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