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Goldberg H, et al. Clinical-genomic Characterization Unveils More Aggressive Disease Features in Elderly Prostate Cancer Patients with Low-grade Disease. Eur Urol Focus 2020.
Herlemann A, et al. Decipher identifies men with otherwise clinically favorable-intermediate risk disease who may not be good candidates for active surveillance. Prostate Cancer Prostatic Dis Prostate Cancer Prostatic Dis 2020; 23: 136-143.
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Hu JC, et al. Clinical Utility of Gene Expression Classifiers in Men With Newly Diagnosed Prostate Cancer. JCO Precision Oncology 2018(2): 1-15.
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Tosoian JJ, et al. Performance of clinicopathologic models in men with high risk localized prostate cancer: impact of a 22-gene genomic classifier. Prostate Cancer Prostatic Dis 2020; 23: 646-653.
Berlin A, et al. Genomic Classifier for Guiding Treatment of Intermediate-Risk Prostate Cancers to Dose-Escalated Image Guided Radiation Therapy Without Hormone Therapy. Int J Radiat Oncol Biol Phys 2019; 103(1): 84-91.
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Martini A, et al. A transcriptomic signature of tertiary Gleason 5 predicts worse clinicopathological outcome. BJU Int 2019; 124(1): 155-62.
Muralidhar V, et al. Genomic Validation of 3-Tiered Clinical Subclassification of High-Risk Prostate Cancer. Int J Radiat Oncol Biol Phys 2019; 105: 621-627.
Purysko AS, et al. Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings. Eur Radiol 2019; 29(9): 4861-70.
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Beksac AT, et al. Multiparametric Magnetic Resonance Imaging Features Identify Aggressive Prostate Cancer at the Phenotypic and Transcriptomic Level. J Urol 2018;200(6):1241-49
Radtke JP, et al. Transcriptome Wide Analysis of Magnetic Resonance Imaging-targeted Biopsy and Matching Surgical Specimens from High-risk Prostate Cancer Patients Treated with Radical Prostatectomy: The Target Must Be Hit. Eur Urol Focus 2018;4(4):540-46
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Nguyen PL, et al. Ability of a Genomic Classifier to Predict Metastasis and Prostate Cancer-specific Mortality after Radiation or Surgery based on Needle Biopsy Specimens. Eur Urol 2017;72(5):845-52
Nguyen PL, et al. Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer. Prostate Cancer Prostatic Dis 2017;20(2):186-92
Klein EA, et al. Decipher Genomic Classifier Measured on Prostate Biopsy Predicts Metastasis Risk. Urology 2016;90:148-52
Knudsen BS, et al. Application of a Clinical Whole-Transcriptome Assay for Staging and Prognosis of Prostate Cancer Diagnosed in Needle Core Biopsy Specimens. J Mol Diagn 2016;18(3):395-406
Lee HJ, et al. Evaluation of a genomic classifier in radical prostatectomy patients with lymph node metastasis. Res Rep Urol 2016;8:77-84
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Early Radiation after Surgery
Lee, DI et al. External validation of genomic classifier-based risk-stratification tool to identify candidates for adjuvant radiation therapy in patients with prostate cancer. World J Urol2021.
Li, L et al. A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI. EBioMedicine2021; 63: 103163.
Shahait, M et al.Impact of Decipher on use of post-operative radiotherapy: Individual patient analysis of two prospective registries. BJU Int2021; 00: 1-8.
Gore JL, et al. Clinical Utility of a Genomic Classifier in Men Undergoing Radical Prostatectomy: The PRO-IMPACT Trial. Pract Radiat Oncol 2019
Howard, LE, et al. Validation of a genomic classifier for prediction of metastasis and prostate cancer-specific mortality in African-American men following radical prostatectomy in an equal access healthcare setting. Prostate Cancer Prostatic Dis 2019
Marascio J, et al. Prospective study to define the clinical utility and benefit of Decipher testing in men following prostatectomy. Prostate Cancer and Prostatic Dis 2019
Jambor, I et al. Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score. J Magn Reson Imaging2020; 51: 1075-1085.
Karnes RJ, et al. Validation of a Genomic Risk Classifier to Predict Prostate Cancer-specific Mortality in Men with Adverse Pathologic Features. Eur Urol 2018;73(2):168-75
Dalela D, et al. Genomic Classifier Augments the Role of Pathological Features in Identifying Optimal Candidates for Adjuvant Radiation Therapy in Patients With Prostate Cancer: Development and Internal Validation of a Multivariable Prognostic Model. J Clin Oncol 2017;35(18):1982-90
Gore JL, et al. Decipher test impacts decision making among patients considering adjuvant and salvage treatment after radical prostatectomy: Interim results from the Multicenter Prospective PRO-IMPACT study. Cancer 2017;123(15):2850-59
Lobo JM, et al. Cost-effectiveness of the Decipher Genomic Classifier to Guide Individualized Decisions for Early Radiation Therapy After Prostatectomy for Prostate Cancer. Clin Genitourin Cancer 2017;15(3):e299-e309
Spratt DE, et al. Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease. J Clin Oncol 2017;35(18):1991-98
Den RB, et al. Decipher correlation patterns post prostatectomy: initial experience from 2,342 prospective patients. Prostate Cancer Prostatic Dis 2016;19(4):374-79
Ross AE, et al. Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men. Eur Urol 2016;69(1):157-65
Ross AE, et al. Efficacy of post-operative radiation in a prostatectomy cohort adjusted for clinical and genomic risk. Prostate Cancer Prostatic Dis 2016;19(3):277-82
Ross AE, et al. Utility of Risk Models in Decision Making After Radical Prostatectomy: Lessons from a Natural History Cohort of Intermediate- and High-Risk Men. Eur Urol 2016;69(3):496-504
Badani KK, et al. Effect of a genomic classifier test on clinical practice decisions for patients with high-risk prostate cancer after surgery. BJU Int 2015;115(3):419-29
Cooperberg MR, et al. Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort. Eur Urol 2015;67(2):326-33
Den RB, et al. Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy. J Clin Oncol 2015;33(8):944-51
Klein EA, et al. A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy. Eur Urol 2015;67(4):778-86
Lobo JM, et al. Evaluating the clinical impact of a genomic classifier in prostate cancer using individualized decision analysis. PLoS One 2015;10(3):e0116866
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Badani K, et al. Impact of a genomic classifier of metastatic risk on postoperative treatment recommendations for prostate cancer patients: a report from the DECIDE study group. Oncotarget 2013;4(4):600-9
Erho N, et al. Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy. PLoS One 2013;8(6):e66855
Karnes RJ, et al. Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population. J Urol 2013;190(6):2047-53
Salvage Therapy after Surgery
Feng, FY et al. Validation of a 22-Gene Genomic Classifier in Patients With Recurrent Prostate Cancer: An Ancillary Study of the NRG/RTOG 9601 Randomized Clinical Trial. JAMA Oncol 2021.
Spratt DE, et al. Performance of a Prostate Cancer Genomic Classifier in Predicting Metastasis in Men with Prostate-specific Antigen Persistence Postprostatectomy. Eur Urol 2018;74(1):107-14
Freedland SJ, et al. Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy. Eur Urol 2016;70(4):588-96
Ross AE, et al. A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy. Prostate Cancer Prostatic Dis 2014;17(1):64-9
Awasthi, S et al. Comparative Genomics Reveals Distinct Immune-oncologic Pathways in African American Men with Prostate Cancer. Clin Cancer Res2021; 27: 320-329.
Weiner, AB et al. Plasma cells are enriched in localized prostate cancer in Black men and are associated with improved outcomes. Nat Commun2021; 12: 935
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Ferrari, MG et al. Identifying and treating ROBO1(-ve) /DOCK1(+ve) prostate cancer: An aggressive cancer subtype prevalent in African American patients. Prostate2020; 80: 1045-1057.
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Tabrizi, S et al. Doublecortin Expression in Prostate Adenocarcinoma and Neuroendocrine Tumors. Int J Radiat Oncol Biol Phys 2020; 108: 936-940.
Taylor AS, et al. Correlation between cribriform/intraductal prostatic adenocarcinoma and percent Gleason pattern 4 to a 22-gene genomic classifier. Prostate 2020; 80: 146-152.
Weiner, AB et al. Somatic HOXB13 Expression Correlates with Metastatic Progression in Men with Localized Prostate Cancer Following Radical Prostatectomy. Eur Urol Oncol2020.
Yamoah, K et al. Novel Transcriptomic Interactions Between Immune Content and Genomic Classifier Predict Lethal Outcomes in High-grade Prostate Cancer. Eur Urol2020.
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Alshalalfa M, et al. Characterization of transcriptomic signature of primary prostate cancer analogous to prostatic small cell neuroendocrine carcinoma. Int J Cancer 2019
Alshalalfa M, et al. Transcriptomic and Clinical Characterization of Neuropeptide Y Expression in Localized and Metastatic Prostate Cancer: Identification of Novel Prostate Cancer Subtype with Clinical Implications. Eur Urol Oncol 2019;2(4):405-12
Berglund AE, et al. Distinct transcriptional repertoire of the androgen receptor in ETS fusion-negative prostate cancer. Prostate Cancer Prostatic Dis 2019;22(2):292-302
Boufaied N, et al. Development of a predictive model for stromal content in prostate cancer samples to improve signature performance. J Pathol 2019
Cato L, et al. ARv7 Represses Tumor-Suppressor Genes in Castration-Resistant Prostate Cancer. Cancer Cell 2019;35(3):401-13 e6
Chen WS, et al. Novel RB1-Loss Transcriptomic Signature Is Associated with Poor Clinical Outcomes across Cancer Types. Clin Cancer Res 2019;25(14):4290-99
Cheng A, et al. A four-gene transcript score to predict metastatic-lethal progression in men treated for localized prostate cancer: Development and validation studies. Prostate 2019;79(14):1589-96
Echevarria MI, et al. African American Specific Gene Panel Predictive of Poor Prostate Cancer Outcome. J Urol 2019;202(2):247-55
Feng Y, et al. Metagenomic and metatranscriptomic analysis of human prostate microbiota from patients with prostate cancer. BMC Genomics 2019;20(1):146
Gerke T, et al. Low Tristetraprolin Expression Is Associated with Lethal Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2019;28(3):584-90
Hectors SJ, et al. Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness. J Urol 2019;202(3):498-505
Hughes RM, et al. Asporin Restricts Mesenchymal Stromal Cell Differentiation, Alters the Tumor Microenvironment, and Drives Metastatic Progression. Cancer Res 2019;79(14):3636-50
Labbe DP, et al. High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program. Nat Commun 2019;10(4358)
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Ramnarine VR, et al. The evolution of long noncoding RNA acceptance in prostate cancer initiation, progression, and its clinical utility in disease management. Eur Urol 2019
Sjostrom M, et al. Clinicogenomic Radiotherapy Classifier Predicting the Need for Intensified Locoregional Treatment After Breast-Conserving Surgery for Early-Stage Breast Cancer. J Clin Oncol 2019:JCO1900761
Sjostrom M, et al. Comprehensive transcriptomic profiling identifies breast cancer patients who may be spared adjuvant systemic therapy. Clin Cancer Res 2019
Spratt DE, et al. Transcriptomic heterogeneity of androgen receptor (AR) activity defines a de novo low AR-active subclass in treatment naive primary prostate cancer. Clin Cancer Res 2019
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Zhao SG, et al. Clinical and Genomic Implications of Luminal and Basal Subtypes Across Carcinomas. Clin Cancer Res 2019;25(8):2450-57
Zhao SG, et al. The Immune Landscape of Prostate Cancer and Nomination of PD-L2 as a Potential Therapeutic Target. J Natl Cancer Inst 2019;111(3):301-10
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Mo F, et al. Stromal Gene Expression is Predictive for Metastatic Primary Prostate Cancer. Eur Urol 2018;73(4):524-32
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Torres A, et al. Comprehensive Determination of Prostate Tumor ETS Gene Status in Clinical Samples Using the CLIA Decipher Assay. J Mol Diagn 2017;19(3):475-84
Tsai HK, et al. Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma. BMC Cancer 2017;17(1):759
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White NM, et al. Multi-institutional Analysis Shows that Low PCAT-14 Expression Associates with Poor Outcomes in Prostate Cancer. Eur Urol 2017;71(2):257-66
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Hu BR, et al. AXIN2 expression predicts prostate cancer recurrence and regulates invasion and tumor growth. Prostate 2016;76(6):597-608
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Yamoah K, et al. Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer. J Clin Oncol 2015;33(25):2789-96
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