Cancers (Dec 2021)

RNA Biomarkers as a Response Measure for Survival in Patients with Metastatic Castration-Resistant Prostate Cancer

  • Emmy Boerrigter,
  • Guillemette E. Benoist,
  • Inge M. van Oort,
  • Gerald W. Verhaegh,
  • Anton F. J. de Haan,
  • Onno van Hooij,
  • Levi Groen,
  • Frank Smit,
  • Irma M. Oving,
  • Pieter de Mol,
  • Tineke J. Smilde,
  • Diederik M. Somford,
  • Paul Hamberg,
  • Vincent O. Dezentjé,
  • Niven Mehra,
  • Nielka P. van Erp,
  • Jack A. Schalken

DOI
https://doi.org/10.3390/cancers13246279
Journal volume & issue
Vol. 13, no. 24
p. 6279

Abstract

Read online

Treatment evaluation in metastatic castration-resistant prostate cancer is challenging. There is an urgent need for biomarkers to discriminate short-term survivors from long-term survivors, shortly after treatment initiation. Thereto, the added value of early RNA biomarkers on predicting progression-free survival (PFS) and overall survival (OS) were explored. The RNA biomarkers: KLK3 mRNA, miR-375, miR-3687, and NAALADL2-AS2 were measured in 93 patients with mCRPC, before and 1 month after start of first-line abiraterone acetate or enzalutamide treatment, in two prospective clinical trials. The added value of the biomarkers to standard clinical parameters in predicting PFS and OS was tested by Harell’s C-index. To test whether the biomarkers were independent markers of PFS and OS, multivariate Cox regression was used. The best prediction model for PFS and OS was formed by adding miR-375 and KLK3 (at baseline and 1 month) to standard clinical parameters. Baseline miR-375 and detectable KLK3 after 1 month of therapy were independently related to shorter PFS, which was not observed for OS. In conclusion, the addition of KLK3 and miR-375 (at baseline and 1 month) to standard clinical parameters resulted in the best prediction model for survival assessment.

Keywords