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An Inflammation Based Score Can Optimize the Selection of Patients with Advanced Cancer Considered for Early Phase Clinical Trials

Author

Listed:
  • David J Pinato
  • Chara Stavraka
  • Michael J Flynn
  • Martin D Forster
  • Séan M O'Cathail
  • Michael J Seckl
  • Rebecca S Kristeleit
  • David Olmos
  • Samantha J Turnbull
  • Sarah P Blagden

Abstract

Background: Adequate organ function and good performance status (PS) are common eligibility criteria for phase I trials. As inflammation is pathogenic and prognostic in cancer we investigated the prognostic performance of inflammation-based indices including the neutrophil (NLR) and platelet to lymphocyte ratio (PLR). Methods: We studied inflammatory scores in 118 unselected referrals. NLR normalization was recalculated at disease reassessment. Each variable was assessed for progression-free (PFS) and overall survival (OS) on uni- and multivariate analyses and tested for 90 days survival (90DS) prediction using receiving operator curves (ROC). Results: We included 118 patients with median OS 4.4 months, 23% PS>1. LDH≥450 and NLR≥5 were multivariate predictors of OS (p

Suggested Citation

  • David J Pinato & Chara Stavraka & Michael J Flynn & Martin D Forster & Séan M O'Cathail & Michael J Seckl & Rebecca S Kristeleit & David Olmos & Samantha J Turnbull & Sarah P Blagden, 2014. "An Inflammation Based Score Can Optimize the Selection of Patients with Advanced Cancer Considered for Early Phase Clinical Trials," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.
    • Handle: RePEc:plo:pone00:0083279
    DOI: 10.1371/journal.pone.0083279
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