Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer. Academic Article uri icon

Overview

abstract

  • The long noncoding RNA SChLAP1 is overexpressed in a subset of prostate cancers (PCa), and high SChLAP1 expression by in situ hybridization (ISH) independently predicts biochemical recurrence after radical prostatectomy. Importantly, although biochemical recurrence is a significant clinical outcome, it is not a validated surrogate for PCa-related mortality. Thus, we evaluated the association between SChLAP1 expression and development of lethal PCa in a large cohort of American men with PCa and long-term follow-up. SChLAP1 ISH was performed on tissue microarrays containing representative formalin-fixed, paraffin-embedded PCa tissue from all patients and scored using a semiquantitative method (ISH score range 0-400). Hazard ratios (HRs) for the association between SChLAP1 expression and time to development of lethal PCa were estimated using multivariable Cox regression analysis. Of the 937 patients evaluated, 89 (9.5%) had high SChLAP1 expression (ISH score ≥100), which in patients treated with radical prostatectomy was strongly associated with development of lethal PCa independent of age, Gleason score, pathologic stage, and PTEN status (HR 2.2, 95% confidence interval 1.1-4.1). These results suggest that SChLAP1 may be a useful tissue-based biomarker for identifying PCa patients at higher risk of lethal progression. PATIENT SUMMARY: We examined expression of the RNA molecule SChLAP1 in a large group of prostate cancer patients with long-term follow-up and found that patients with high SChLAP1 expression had a significantly higher chance of developing lethal disease.

publication date

  • December 24, 2015

Research

keywords

  • Biomarkers, Tumor
  • Bone Neoplasms
  • Prostatic Neoplasms
  • RNA, Long Noncoding

Identity

PubMed Central ID

  • PMC4919276

Scopus Document Identifier

  • 84951855012

Digital Object Identifier (DOI)

  • 10.1016/j.eururo.2015.12.003

PubMed ID

  • 26724257

Additional Document Info

volume

  • 70

issue

  • 4