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A Novel MiRNA-Based Predictive Model for Biochemical Failure Following Post-Prostatectomy Salvage Radiation Therapy

Author

Listed:
  • Erica Hlavin Bell
  • Simon Kirste
  • Jessica L Fleming
  • Petra Stegmaier
  • Vanessa Drendel
  • Xiaokui Mo
  • Stella Ling
  • Denise Fabian
  • Isabel Manring
  • Cordula A Jilg
  • Wolfgang Schultze-Seemann
  • Maureen McNulty
  • Debra L Zynger
  • Douglas Martin
  • Julia White
  • Martin Werner
  • Anca L Grosu
  • Arnab Chakravarti

Abstract

Purpose: To develop a microRNA (miRNA)-based predictive model for prostate cancer patients of 1) time to biochemical recurrence after radical prostatectomy and 2) biochemical recurrence after salvage radiation therapy following documented biochemical disease progression post-radical prostatectomy. Methods: Forty three patients who had undergone salvage radiation therapy following biochemical failure after radical prostatectomy with greater than 4 years of follow-up data were identified. Formalin-fixed, paraffin-embedded tissue blocks were collected for all patients and total RNA was isolated from 1mm cores enriched for tumor (>70%). Eight hundred miRNAs were analyzed simultaneously using the nCounter human miRNA v2 assay (NanoString Technologies; Seattle, WA). Univariate and multivariate Cox proportion hazards regression models as well as receiver operating characteristics were used to identify statistically significant miRNAs that were predictive of biochemical recurrence. Results: Eighty eight miRNAs were identified to be significantly (p 36 months). Nine miRNAs were identified to be significantly (p

Suggested Citation

  • Erica Hlavin Bell & Simon Kirste & Jessica L Fleming & Petra Stegmaier & Vanessa Drendel & Xiaokui Mo & Stella Ling & Denise Fabian & Isabel Manring & Cordula A Jilg & Wolfgang Schultze-Seemann & Maur, 2015. "A Novel MiRNA-Based Predictive Model for Biochemical Failure Following Post-Prostatectomy Salvage Radiation Therapy," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-19, March.
    • Handle: RePEc:plo:pone00:0118745
    DOI: 10.1371/journal.pone.0118745
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