title: Evolving transcriptomic fingerprint based on genome-wide data as prognostic tools in prostate cancer.
abstract: BACKGROUND
  Prostate cancer (PCa) is a common disease but only a small subset of patients are at risk of developing metastasis and lethal disease, and identifying which patients will progress is challenging because of the heterogeneity underlying tumour progression. Understanding this heterogeneity at the molecular level and the resulting clinical impact is a critical step necessary for risk stratification. Defining genomic fingerprint elucidates molecular variation and may improve PCa risk stratification, providing more accurate prognostic information of tumour aggressiveness (or lethality) for prognostic biomarker development. Therefore, we explored transcriptomic differences between patients with indolent disease outcome and patients who developed metastasis post-radical prostatectomy using genome-wide expression data in the post radical prostatectomy clinical space before metastatic spread.
  
  
  RESULTS
  Based on differential expression analysis, patients with adverse pathological findings who are at higher risk of developing metastasis have a distinct transcriptomic fingerprint that can be detected on surgically removed prostate specimens several years before metastasis detection. Nearly half of the transcriptomic fingerprint features were non-coding RNA highlighting their pivotal role in PCa progression. Protein-coding RNA features in the fingerprint are involved in multiple pathways including cell cycle, chromosome structure maintenance and cytoskeleton organisation. The metastatic transcriptomic fingerprint was determined in independent cohorts verifying the association between the fingerprint and metastatic patients. Further, the fingerprint was confirmed in metastasis lesions demonstrating that the fingerprint represents early metastatic transcriptomic changes, suggesting its utility as a prognostic tool to predict metastasis and provide clinical value in the early radical prostatectomy setting.
  
  
  CONCLUSIONS
  Here, we show that transcriptomic patterns of metastatic PCa exist that can be detected early after radical prostatectomy. This metastatic fingerprint has potential prognostic ability that can impact PCa treatment management potentially circumventing the requirements for unnecessary therapies.
authors.affiliation: GenomeDx Biosciences, Vancouver, BC, Canada.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Alshalalfa
authors.affiliation: GenomeDx Biosciences, Vancouver, BC, Canada.
authors.forename: Mark
authors.initials: M
authors.lastname: Schliekelman
authors.affiliation: GenomeDx Biosciences, Vancouver, BC, Canada.
authors.forename: Heesun
authors.initials: H
authors.lastname: Shin
authors.affiliation: GenomeDx Biosciences, Vancouver, BC, Canada.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Erho
authors.affiliation: GenomeDx Biosciences, Vancouver, BC, Canada.
authors.forename: Elai
authors.initials: E
authors.lastname: Davicioni
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000096:biosynthesis / Q000235:genetics; D020869:Gene Expression Profiling; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D008875:Middle Aged; D009362:Neoplasm Metastasis; D011237:Predictive Value of Tests; D011379:Prognosis; D011471:Prostatic Neoplasms / Q000175:diagnosis / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D059467:Transcriptome
chemical_list: D014408:Biomarkers, Tumor
keywords: Metastasis; Prostate; Radical prostatectomy; Transcriptomic fingerprint