Discovery and Validation of Predictive Biomarkers of Survival for Non-small Cell Lung Cancer Patients Undergoing Radical Radiotherapy: Two Proteins With Predictive Value

Michael J. Walker, Cong Zhou, Alison Backen, Maria Pernemalm, Andrew J K Williamson, Lynsey J C Priest, Pek Keng Koh, Corinne Faivre-Finn, Fiona H Blackhall, Caroline Dive, Anthony D Whetton

Research output: Contribution to journalArticlepeer-review

Abstract

Lung cancer is the most frequent cause of cancer-related death world-wide. Radiotherapy alone or in conjunction with chemotherapy is the standard treatment for locally advanced non-small cell lung cancer (NSCLC). Currently there is no predictive marker with clinical utility to guide treatment decisions in NSCLC patients undergoing radiotherapy. Identification of such markers would allow treatment options to be considered for more effective therapy. To enable the identification of appropriate protein biomarkers, plasma samples were collected from patients with non-small cell lung cancer before and during radiotherapy for longitudinal comparison following a protocol that carries sufficient power for effective discovery proteomics. Plasma samples from patients pre- and during radiotherapy who had survived > 18 mo were compared to the same time points from patients who survived <14 mo using an 8 channel isobaric tagging tandem mass spectrometry discovery proteomics platform. Over 650 proteins were detected and relatively quantified. Proteins which showed a change during radiotherapy were selected for validation using an orthogonal antibody-based approach. Two of these proteins were verified in a separate patient cohort: values of CRP and LRG1 combined gave a highly significant indication of extended survival post one week of radiotherapy treatment.
Original languageEnglish
Pages (from-to)841-850
Number of pages10
JournalEBioMedicine
Volume2
Issue number8
Early online date10 Jul 2015
DOIs
Publication statusPublished - Aug 2015

Keywords

  • biomarker
  • lung cancer
  • proteomics
  • radiotherapy

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