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Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer

  • Sarah Louise Ryan
  • , Keyur A. Dave
  • , Sam Beard
  • , Martina Gyimesi
  • , Matthew McTaggart
  • , Katherine B. Sahin
  • , Christopher Molloy
  • , Neha S. Gandhi
  • , Eric Boittier
  • , Connor G. O’Leary
  • , Esha T. Shah
  • , Emma Bolderson
  • , Anne Marie Baird
  • , Derek J. Richard*
  • , Kenneth J. O’Byrne*
  • , Mark N. Adams*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Platinum-based chemotherapy remains the cornerstone of treatment for most people with non-small cell lung cancer (NSCLC), either as adjuvant therapy in combination with a second cytotoxic agent or in combination with immunotherapy. Resistance to therapy, either in the form of primary refractory disease or evolutionary resistance, remains a significant issue in the treatment of NSCLC. Hence, predictive biomarkers and novel combinational strategies are required to improve the effectiveness and durability of treatment response 6for people with NSCLC. The aim of this study was to identify novel biomarkers and/or druggable proteins from deregulated protein networks within non-oncogene driven disease that are involved in the cellular response to cisplatin. Following exposure of NSCLC cells to cisplatin, in vitro quantitative mass spectrometry was applied to identify altered protein response networks. A total of 65 proteins were significantly deregulated following cisplatin exposure. These proteins were assessed to determine if they are druggable targets using novel machine learning approaches and to identify whether these proteins might serve as prognosticators of platinum therapy. Our data demonstrate novel candidates and drug-like molecules warranting further investigation to improve response to platinum agents in NSCLC.

Original languageEnglish
Article number615967
JournalFrontiers in Oncology
Volume11
DOIs
Publication statusPublished - 11-03-2021

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

  • Oncology
  • Cancer Research

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