A whole-blood RNA transcript-based prognostic model in men with castration-resistant prostate cancer: a prospective study.

Background: Survival for patients with castration-resistant prostate cancer is highly variable. We assessed the effectiveness of a whole-blood RNA transcript-based model as a prognostic biomarker in castration-resistant prostate cancer.Methods: Peripheral blood was prospectively collected from 62 me...

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Published in:Lancet Oncology Vol. 13; no. 11; pp. 1105 - 1114
Main Authors: Ross RW, Galsky MD, Scher HI, Magidson J, Wassmann K, Lee GS, Katz L, Subudhi SK, Anand A, Fleisher M, Kantoff PW, Oh WK, Ross, Robert W, Galsky, Matthew D, Scher, Howard I, Magidson, Jay, Wassmann, Karl, Lee, Gwo-Shu Mary, Katz, Leah, Subudhi, Sumit K
Format: research Journal Article
Published: Elsevier B.V. Nov2012
Online Access:View this record in EBSCOhost
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      jtl: Lancet Oncology
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      dt: Nov2012
      vid: 13
      iid: 11
      ed: 1077-4114 (Print)
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      pub: Elsevier B.V.
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        10.1016/S1470-2045(12)70263-2
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        atl: A whole-blood RNA transcript-based prognostic model in men with castration-resistant prostate cancer: a prospective study.
      aug:
        au:
          Ross RW
          Galsky MD
          Scher HI
          Magidson J
          Wassmann K
          Lee GS
          Katz L
          Subudhi SK
          Anand A
          Fleisher M
          Kantoff PW
          Oh WK
          Ross, Robert W
          Galsky, Matthew D
          Scher, Howard I
          Magidson, Jay
          Wassmann, Karl
          Lee, Gwo-Shu Mary
          Katz, Leah
          Subudhi, Sumit K
        affil: Division of Solid Tumor Oncology, Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
      sug:
        subj:
          Prognosis
          Prostatic Neoplasms Blood
          Prostatic Neoplasms Pathology
          Prostatic Neoplasms Therapy
          RNA Blood
          Tumor Markers, Biological Blood
          Aged
          Aged, 80 and Over
          Surgery, Urogenital
          Human
          Inflammation
          Inflammation Metabolism
          Male
          Middle Age
          Prospective Studies
          Risk Factors
          Survival Analysis
          Aged: 65+ years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Male
      ab: Background: Survival for patients with castration-resistant prostate cancer is highly variable. We assessed the effectiveness of a whole-blood RNA transcript-based model as a prognostic biomarker in castration-resistant prostate cancer.Methods: Peripheral blood was prospectively collected from 62 men with castration-resistant prostate cancer on various treatment regimens who were enrolled in a training set at the Dana-Farber Cancer Institute (Boston, MA, USA) from August, 2006, to June, 2008, and from 140 patients with castration-resistant prostate cancer in a validation set from Memorial Sloan-Kettering Cancer Center (New York, NY, USA) from August, 2006, to February, 2009. A panel of 168 inflammation-related and prostate cancer-related genes was assessed with optimised quantitative PCR to assess biomarkers predictive of survival.Findings: A six-gene model (consisting of ABL2, SEMA4D, ITGAL, and C1QA, TIMP1, CDKN1A) separated patients with castration-resistant prostate cancer into two risk groups: a low-risk group with a median survival of more than 34·9 months (median survival was not reached) and a high-risk group with a median survival of 7·8 months (95% CI 1·8-13·9; p<0·0001). The prognostic utility of the six-gene model was validated in an independent cohort. This model was associated with a significantly higher area under the curve compared with a clinicopathological model (0·90 [95% CI 0·78-0·96] vs 0·65 [0·52-0·78]; p=0·0067).Interpretation: Transcriptional profiling of whole blood yields crucial prognostic information about men with castration-resistant prostate cancer. The six-gene model suggests possible dysregulation of the immune system, a finding that warrants further study.Funding: Source MDX.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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