Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse Journal Article


Authors: Henshall, S. M.; Afar, D. E. H.; Hiller, J.; Horvath, L. G.; Quinn, D. I.; Rasiah, K. K.; Gish, K.; Willhite, D.; Kench, J. G.; Gardiner-Garden, M.; Stricker, P. D.; Scher, H. I.; Grygiel, J. J.; Agus, D. B.; Mack, D. H.; Sutherland, R. L.
Article Title: Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse
Abstract: Current models of prostate cancer classification are poor at distinguishing between tumors that have similar histopathological features but vary in clinical course and outcome. Here, we applied classical survival analysis to genome-wide gene expression profiles of prostate cancers and pre-operative prostate-specific antigen (PSA) levels from each patient, to identify prognostic markers of disease relapse that provide additional predictive value relative to PSA concentration. Three of ∼200 probesets showing strongest correlation with relapse were identified as the gene for the putative calcium channel protein, trp-p8, with loss of trp-p8 mRNA expression associated with a significantly shorter time to PSA relapse-free survival. We observed subsequently that trp-p8 is lost in the transition to androgen independence in a prostate cancer xenograft model and in prostate cancer tissue from patients treated preoperatively with anti-androgen therapy, suggesting that trp-p8 is androgen regulated, and its loss may be associated with more advanced disease. The identification of trp-p8 and other proteins implicated in the phosphatidylinositol signal transduction pathway that are associated with prostate cancer outcome, both here and in other published work, suggests an integral role for this pathway in prostate carcinogenesis. Thus, our findings demonstrate that multivariable survival analysis can be applied to gene expression profiles of prostate cancers with censored follow-up data and used to identify molecular markers of prostate cancer relapse with strong predictive power and relevance to the etiology of this disease.
Keywords: cancer survival; human tissue; survival analysis; unclassified drug; cancer recurrence; nonhuman; genetic analysis; prostate specific antigen; mouse; animals; mice; animal tissue; cluster analysis; gene expression; gene expression profiling; animal experiment; animal model; protein; carcinogenesis; prostate cancer; prostatic neoplasms; cancer genetics; correlation analysis; xenograft; messenger rna; oligonucleotide array sequence analysis; gene identification; nucleotide sequence; transplantation, heterologous; genome; marker gene; humans; prognosis; human; male; priority journal; article; calcium channel protein; protein trp p 8
Journal Title: Cancer Research
Volume: 63
Issue: 14
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 2003-07-15
Start Page: 4196
End Page: 4203
Language: English
PUBMED: 12874026
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 12 September 2014 -- Molecular Sequence Numbers: GENBANK: AA354685, AA402587, AA845608, AA907734, AI199981, AK024677, AK055649, AK075364, AL049969, AL389978, AV656002, AW204707, AW452344, AW845987, AW969025, BC018081, BE250014, C19035, D49387, D80630, NM_000968, NM_001369, NM_001402, NM_001617, NM_003115, NM_003877, NM_004726, NM_004930, NM_005306, NM_006452, NM_006765, NM_007085, NM_012319, NM_012429, NM_014509, NM_014610, NM_014762, NM_018427, NM_018982, NM_020436, NM_024080, NM_030768, NM_032290, NM_033225, NM_080654, NM_138799, NM_144704, T65456, X57819; -- Source: Scopus
Citation Impact
MSK Authors
  1. Howard Scher
    1130 Scher