AzTrials
AzTrials

Prostate CancerGRID®NCT02609269

Decipher Genomics Resource for Intelligent Discovery

An observational study of Prostate Cancer and Bladder Cancer, run by GenomeDx Biosciences Corp.

Enrolling by invitation

Enrolling by invitation. The study team selects and invites participants, usually from an existing group of patients.

Official record
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Trial summary

To prospectively evaluate the utility of genomic expression data and whole slide digital pathology image data as a tool to better characterize the tumors of individual patients, and to understand how genomic and histologic information from individual patients undergoing routine clinical testing can be used in… Read more about this study

Who is it for?
Any age
Conditions the study is for
Prostate Cancer, Bladder Cancer, Renal Cancer
What is being tested?
Decipher Cancer Classifier
How many people
1,000,000 participants
Where
No sites listed yet
Study dates
Oct 2015to Dec 2040
How long will I take part?
10 Years
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages Any age
  • All sexes
  • No healthy volunteers
  • Child, Adult, Older adult

Study population: Patients undergoing Decipher testing in the clinical setting. It is understood that the Decipher test results may be used as a part of normal clinical care. Any patient meeting the following criteria who has been tested with Decipher can participate in the study.

Who may be able to join

  • Subjects that have had a Decipher clinical test

Who cannot join

None listed.

About this study

Official title: Prospective Expression Analysis Using The Decipher Genomics Resource for Intelligent Discovery (GRID)® and Data Sharing Program

To prospectively evaluate the utility of genomic expression data and whole slide digital pathology image data as a tool to better characterize the tumors of individual patients, and to understand how genomic and histologic information from individual patients undergoing routine clinical testing can be used in population-level analysis to improve treatment and outcomes.

Read the detailed description

Observational study involving the release of tumor genome-wide expression and whole slide imaging data generated by the Decipher assay which will be linked to clinical treatment and outcome data for patients in whom Decipher clinical testing was performed. The GRID database population will be used to characterize the genomics and histopathologic features of cancer and discover or validate gene expression signatures as well as digital pathology models that may be useful for understanding of the biology of the disease and implementing precision medicine approaches for cancer patients.

Being tested
Decipher Cancer Classifier
Keywords
Decipher, Transcriptome, Gene Expression
Medical subject headings
Prostatic Neoplasms, Urinary Bladder Neoplasms, Kidney Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Decipher Cancer ClassifierOther

    Also called Decipher Biopsy, Decipher RP, Decipher Bladder, Decipher Renal, Decipher Test

    The Decipher tests use gene expression-based molecular diagnostic assays that are used to better risk stratify or characterize tumor biology that are commercially available through Veracyte, Inc CLIA \& CAP certified laboratory in San Diego, CA

Study groups in NCT02609269
Study groupRoleWhat they receive
Decipher GRID PatientsPatients who have been tested with any of the Decipher clinical tests
Receives: Other: Decipher Cancer Classifier

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Link complete genomic RNA expression array data generated from Decipher testing with clinical data for patients who consent to participate.

    Role of genomic expression data in the biology of certain cancers

    Measured: Through study completion, an average of 1 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted20 Nov 2015 (estimated)
  2. Study startOct 2015
  3. Primary completionDec 2030 (estimated)
  4. Study completionDec 2040 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case only
Time perspective
Prospective
Enrolment
1,000,000 participants (estimated)
Target duration
10 Years
IDs, dates and publications
ClinicalTrials.gov ID
NCT02609269
Sponsor's protocol ID
GRD001
Acronym
GRID®
Status last verified
Aug 2026
First submitted
16 Nov 2015
Last updated
18 Aug 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided

Publications

  • Karnes RJ, Bergstralh EJ, Davicioni E, Ghadessi M, Buerki C, Mitra AP, Crisan A, Erho N, Vergara IA, Lam LL, Carlson R, Thompson DJ, Haddad Z, Zimmermann B, Sierocinski T, Triche TJ, Kollmeyer T, Ballman KV, Black PC, Klee GG, Jenkins RB. Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population. J Urol. 2013 Dec;190(6):2047-53. doi: 10.1016/j.juro.2013.06.017. Epub 2013 Jun 11.

    PubMed 23770138

  • Ross AE, Johnson MH, Yousefi K, Davicioni E, Netto GJ, Marchionni L, Fedor HL, Glavaris S, Choeurng V, Buerki C, Erho N, Lam LL, Humphreys EB, Faraj S, Bezerra SM, Han M, Partin AW, Trock BJ, Schaeffer EM. Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men. Eur Urol. 2016 Jan;69(1):157-65. doi: 10.1016/j.eururo.2015.05.042. Epub 2015 Jun 6.

    PubMed 26058959

  • Cooperberg MR, Davicioni E, Crisan A, Jenkins RB, Ghadessi M, Karnes RJ. Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort. Eur Urol. 2015 Feb;67(2):326-33. doi: 10.1016/j.eururo.2014.05.039. Epub 2014 Jul 2.

    PubMed 24998118

  • Den RB, Yousefi K, Trabulsi EJ, Abdollah F, Choeurng V, Feng FY, Dicker AP, Lallas CD, Gomella LG, Davicioni E, Karnes RJ. Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy. J Clin Oncol. 2015 Mar 10;33(8):944-51. doi: 10.1200/JCO.2014.59.0026. Epub 2015 Feb 9.

    PubMed 25667284

  • Den RB, Feng FY, Showalter TN, Mishra MV, Trabulsi EJ, Lallas CD, Gomella LG, Kelly WK, Birbe RC, McCue PA, Ghadessi M, Yousefi K, Davicioni E, Knudsen KE, Dicker AP. Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy. Int J Radiat Oncol Biol Phys. 2014 Aug 1;89(5):1038-1046. doi: 10.1016/j.ijrobp.2014.04.052. Epub 2014 Jul 8.

    PubMed 25035207

  • Erho N, Crisan A, Vergara IA, Mitra AP, Ghadessi M, Buerki C, Bergstralh EJ, Kollmeyer T, Fink S, Haddad Z, Zimmermann B, Sierocinski T, Ballman KV, Triche TJ, Black PC, Karnes RJ, Klee G, Davicioni E, Jenkins RB. Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy. PLoS One. 2013 Jun 24;8(6):e66855. doi: 10.1371/journal.pone.0066855. Print 2013.

    PubMed 23826159

  • Jairath NK, Dal Pra A, Vince R Jr, Dess RT, Jackson WC, Tosoian JJ, McBride SM, Zhao SG, Berlin A, Mahal BA, Kishan AU, Den RB, Freedland SJ, Salami SS, Kaffenberger SD, Pollack A, Tran P, Mehra R, Morgan TM, Weiner AB, Mohamad O, Carroll PR, Cooperberg MR, Karnes RJ, Nguyen PL, Michalski JM, Tward JD, Feng FY, Schaeffer EM, Spratt DE. A Systematic Review of the Evidence for the Decipher Genomic Classifier in Prostate Cancer. Eur Urol. 2021 Mar;79(3):374-383. doi: 10.1016/j.eururo.2020.11.021. Epub 2020 Dec 5.

    PubMed 33293078

  • Qiu X, Boufaied N, Hallal T, Feit A, de Polo A, Luoma AM, Alahmadi W, Larocque J, Zadra G, Xie Y, Gu S, Tang Q, Zhang Y, Syamala S, Seo JH, Bell C, O'Connor E, Liu Y, Schaeffer EM, Jeffrey Karnes R, Weinmann S, Davicioni E, Morrissey C, Cejas P, Ellis L, Loda M, Wucherpfennig KW, Pomerantz MM, Spratt DE, Corey E, Freedman ML, Shirley Liu X, Brown M, Long HW, Labbe DP. MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets. Nat Commun. 2022 May 13;13(1):2559. doi: 10.1038/s41467-022-30257-z.

    PubMed 35562350

  • Zhao SG, Chang SL, Erho N, Yu M, Lehrer J, Alshalalfa M, Speers C, Cooperberg MR, Kim W, Ryan CJ, Den RB, Freedland SJ, Posadas E, Sandler H, Klein EA, Black P, Seiler R, Tomlins SA, Chinnaiyan AM, Jenkins RB, Davicioni E, Ross AE, Schaeffer EM, Nguyen PL, Carroll PR, Karnes RJ, Spratt DE, Feng FY. Associations of Luminal and Basal Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation Therapy. JAMA Oncol. 2017 Dec 1;3(12):1663-1672. doi: 10.1001/jamaoncol.2017.0751.

    PubMed 28494073

  • Feng FY, Huang HC, Spratt DE, Zhao SG, Sandler HM, Simko JP, Davicioni E, Nguyen PL, Pollack A, Efstathiou JA, Dicker AP, Todorovic T, Margrave J, Liu YS, Dabbas B, Thompson DJS, Das R, Dignam JJ, Sweeney C, Attard G, Bahary JP, Lukka HR, Hall WA, Pisansky TM, Shah AB, Pugh SL, Shipley WU, Tran PT. 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 Apr 1;7(4):544-552. doi: 10.1001/jamaoncol.2020.7671.

    PubMed 33570548

  • Adams EJ, Karthaus WR, Hoover E, Liu D, Gruet A, Zhang Z, Cho H, DiLoreto R, Chhangawala S, Liu Y, Watson PA, Davicioni E, Sboner A, Barbieri CE, Bose R, Leslie CS, Sawyers CL. FOXA1 mutations alter pioneering activity, differentiation and prostate cancer phenotypes. Nature. 2019 Jul;571(7765):408-412. doi: 10.1038/s41586-019-1318-9. Epub 2019 Jun 26.

    PubMed 31243370

  • Mahal BA, Yang DD, Wang NQ, Alshalalfa M, Davicioni E, Choeurng V, Schaeffer EM, Ross AE, Spratt DE, Den RB, Martin NE, Mouw KW, Orio PF 3rd, Choueiri TK, Taplin ME, Trinh QD, Feng FY, Nguyen PL. Clinical and Genomic Characterization of Low-Prostate-specific Antigen, High-grade Prostate Cancer. Eur Urol. 2018 Aug;74(2):146-154. doi: 10.1016/j.eururo.2018.01.043. Epub 2018 Feb 22.

    PubMed 29478736

  • Chu CE, Alshalalfa M, Sjostrom M, Zhao SG, Liu Y, Chou J, Herlemann A, Mahal B, Kishan AU, Spratt DE, Cooperberg M, Small E, Wong A, Porten S, Hope TA, Ross AE, Davicioni E, Nguyen P, Karnes RJ, Carroll PR, Schaeffer E, Feng FY. Prostate-specific Membrane Antigen and Fluciclovine Transporter Genes are Associated with Variable Clinical Features and Molecular Subtypes of Primary Prostate Cancer. Eur Urol. 2021 Jun;79(6):717-721. doi: 10.1016/j.eururo.2021.03.017. Epub 2021 Apr 8.

    PubMed 33840559

  • Kensler KH, Awasthi S, Alshalalfa M, Trock BJ, Freedland SJ, Freeman MR, You S, Mahal BA, Den RB, Dicker AP, Karnes RJ, Klein EA, Lal P, Liu Y, Davicioni E, Rayford W, Yamoah K, Rebbeck TR. Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race. Eur Urol Open Sci. 2022 Apr 26;40:19-26. doi: 10.1016/j.euros.2022.03.014. eCollection 2022 Jun.

    PubMed 35638091

  • Zhao SG, Lehrer J, Chang SL, Das R, Erho N, Liu Y, Sjostrom M, Den RB, Freedland SJ, Klein EA, Karnes RJ, Schaeffer EM, Xu M, Speers C, Nguyen PL, Ross AE, Chan JM, Cooperberg MR, Carroll PR, Davicioni E, Fong L, Spratt DE, Feng FY. The Immune Landscape of Prostate Cancer and Nomination of PD-L2 as a Potential Therapeutic Target. J Natl Cancer Inst. 2019 Mar 1;111(3):301-310. doi: 10.1093/jnci/djy141.

    PubMed 30321406

Questions about this trial

What is this clinical trial studying?

An observational study of Prostate Cancer and Bladder Cancer, run by GenomeDx Biosciences Corp.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: enrolling by invitation, as of the sponsor's last update on 18 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Link complete genomic RNA expression array data generated from Decipher testing with clinical data for patients who consent to participate. (time frame: Through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT02609269, which also lists 26 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Aug 2026.

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Decipher Genomics Resource for Intelligent Discovery | AzTrials