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Predicting Response to Radiotherapy in Cancer-Induced Bone Pain: Cytokines as a Potential Biomarker?

K MacLeod1, B J A Laird1, N O Carragher1

  • 1Cancer Research UK Edinburgh Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.

Clinical Oncology (Royal College of Radiologists (Great Britain))
|April 15, 2020
PubMed
Summary

This study explored cytokines as biomarkers for predicting radiotherapy (XRT) response in cancer-induced bone pain (CIBP). Insulin-like growth factor binding protein 9 and interleukin-1ß showed potential predictive value, warranting further research.

Keywords:
Bone metastasescancercytokinesradiotherapyresponse

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Area of Science:

  • Oncology
  • Pain Management
  • Biomarker Discovery

Background:

  • Cancer-induced bone pain (CIBP) management with radiotherapy (XRT) has variable efficacy.
  • Predictive biomarkers are needed to personalize XRT treatment for CIBP.
  • Candidate cytokines have been identified but not yet validated in clinical practice.

Purpose of the Study:

  • To investigate the relationship between specific cytokines and analgesic response to XRT in CIBP patients.
  • To identify potential cytokine biomarkers that predict efficacy of XRT for CIBP.
  • To explore the role of insulin-like growth factor binding protein 9 (IGFBP-9) and interleukin-1ß (IL-1ß) in predicting XRT response.

Main Methods:

  • Exploratory analysis of biobank data from a prospective UK clinical trial involving 60 CIBP patients treated with single fraction (8 Gy) XRT.
  • Collection of plasma samples and pain assessments at baseline and 4 weeks post-XRT.
  • Analysis of 16 pre-identified cytokines, comparing levels between XRT responders and non-responders.

Main Results:

  • Insulin-like growth factor binding protein 9 (IGFBP-9) and interleukin-1ß (IL-1ß) were identified as potential predictors of XRT response.
  • A significant association was found between the baseline:follow-up ratio of IGFBP-9 levels and XRT response (P=0.024).
  • IGFBP-9 levels differed significantly between responders and non-responders in younger patients (≤64 years, P=0.047), and IL-1ß levels differed in breast cancer patients (P=0.006).

Conclusions:

  • This study is the first to examine cytokines for predicting XRT response in CIBP.
  • IGFBP-9 and IL-1ß show preliminary potential as predictive biomarkers for XRT in CIBP.
  • Further research is encouraged to validate these findings and develop robust biomarkers for personalized CIBP treatment.