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A four-gene transcript score to predict metastatic-lethal progression in men treated for localized prostate cancer: Development and validation studies.
Cheng, Anqi; Zhao, Shanshan; FitzGerald, Liesel M; Wright, Jonathan L; Kolb, Suzanne; Karnes, R Jeffrey; Jenkins, Robert B; Davicioni, Elai; Ostrander, Elaine A; Feng, Ziding; Fan, Jian-Bing; Dai, James Y; Stanford, Janet L.
Afiliación
  • Cheng A; Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington.
  • Zhao S; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina.
  • FitzGerald LM; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
  • Wright JL; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Kolb S; Department of Urology, University of Washington School of Medicine, Seattle, Washington.
  • Karnes RJ; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Jenkins RB; Department of Urology, Mayo Clinic, Rochester, Minnesota.
  • Davicioni E; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Ostrander EA; GenomeDx Biosciences Inc, Vancouver, British Columbia, Canada.
  • Feng Z; Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland.
  • Fan JB; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Dai JY; AnchorDx Corporation, Guangzhou, China.
  • Stanford JL; School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Prostate ; 79(14): 1589-1596, 2019 10.
Article en En | MEDLINE | ID: mdl-31376183
ABSTRACT

BACKGROUND:

Molecular studies have tried to address the unmet need for prognostic biomarkers in prostate cancer (PCa). Some gene expression tests improve upon clinical factors for prediction of outcomes, but additional tools for accurate prediction of tumor aggressiveness are needed.

METHODS:

Based on a previously published panel of 23 gene transcripts that distinguished patients with metastatic progression, we constructed a prediction model using independent training and testing datasets. Using the validated messenger RNAs and Gleason score (GS), we performed model selection in the training set to define a final locked model to classify patients who developed metastatic-lethal events from those who remained recurrence-free. In an independent testing dataset, we compared our locked model to established clinical prognostic factors and utilized Kaplan-Meier curves and receiver operating characteristic analyses to evaluate the model's performance.

RESULTS:

Thirteen of 23 previously identified gene transcripts that stratified patients with aggressive PCa were validated in the training dataset. These biomarkers plus GS were used to develop a four-gene (CST2, FBLN1, TNFRSF19, and ZNF704) transcript (4GT) score that was significantly higher in patients who progressed to metastatic-lethal events compared to those without recurrence in the testing dataset (P = 5.7 × 10-11 ). The 4GT score provided higher prediction accuracy (area under the ROC curve [AUC] = 0.76; 95% confidence interval [CI] = 0.69-0.83; partial area under the ROC curve [pAUC] = 0.008) than GS alone (AUC = 0.63; 95% CI = 0.56-0.70; pAUC = 0.002), and it improved risk stratification in subgroups defined by a combination of clinicopathological features (ie, Cancer of the Prostate Risk Assessment-Surgery).

CONCLUSION:

Our validated 4GT score has prognostic value for metastatic-lethal progression in men treated for localized PCa and warrants further evaluation for its clinical utility.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Proteínas de Unión al Calcio / Biomarcadores de Tumor / Receptores del Factor de Necrosis Tumoral / Factores Generales de Transcripción / Cistatinas Salivales / Metástasis de la Neoplasia Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: Prostate Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Proteínas de Unión al Calcio / Biomarcadores de Tumor / Receptores del Factor de Necrosis Tumoral / Factores Generales de Transcripción / Cistatinas Salivales / Metástasis de la Neoplasia Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: Prostate Año: 2019 Tipo del documento: Article