Lab Management Guidelines v2.0.2019 Decipher Prostate Cancer Classifier

MOL.TS.294.A v2.0.2019 Procedures addressed

The inclusion of any procedure code in this table does not imply that the code is under management or requires prior authorization. Refer to the specific Health Plan's procedure code list for management requirements.

Procedures addressed by this Procedure codes guideline Decipher Prostate Cancer Classifier 81479

What are gene expression profiling tests for prostate cancer

Definition

Prostate cancer (PC) is the most common cancer and a leading cause of cancer- related deaths worldwide. It is considered a heterogeneous disease with highly variable prognosis.1  High-risk prostate cancer (PC) patients treated with radical prostatectomy (RP) undergo risk assessment to assess future disease prognosis and determine optimal treatment strategies. Post-RP pathology findings, such as disease stage, baseline Gleason score, time of biochemical recurrence (BCR) after RP, and PSA doubling- time, are considered strong predictors of disease-associated metastasis and mortality. Following RP, up to 50% of patients have pathology or clinical features that are considered at high risk of recurrence and these patients usually undergo post-RP treatments, including adjuvant or salvage therapy or radiation therapy, which can have serious risks and complications. According to clinical practice guideline recommendations, high risk patients should undergo 6 to 8 weeks of radiation therapy (RT) following RP. However, approximately 90% of high-risk patients do not develop metastases or die of prostate cancer, and instead may be appropriate candidates for alternative treatment approaches, including active surveillance (AS). As such, many patients may be subjected to unnecessary follow- up procedures and their associated complications, highlighting the need for improved methods of prognostic risk assessment.2,3  Several genomic biomarkers have been commercially developed to augment the prognostic ability of currently available routine clinical and pathological tests and identify those patients most and least likely to benefit from a specific treatment strategy. Prognostic genomic tests, including gene expression profiling tests, may help to avoid overtreatment by reclassifying those men originally identified as high risk, but who are unlikely to develop metastatic disease. Genomic biomarkers may

© eviCore healthcare. All Rights Reserved. 1 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

also play a role in assisting clinicians to tailor personalized and more appropriate treatments for subgroups of PC patients, and improve overall health outcomes.2,3

Test information  Gene expression profiles (GEPs) evaluate the expression of several genes using one sample. Gene expression is determined through RNA analysis, using either reverse transcriptase (RT) polymerase chain reaction (PCR) or DNA microarrays.4  Decipher® Prostate Cancer Classifier (GenomeDX Biosciences, Inc.)5

o According to the manufacturer, the Decipher test is a tissue-based tumor genomic test that predicts the probability of metastasis within 5 years of RP, and provides an independent assessment of tumor aggressiveness, information that is distinct from that provided by the Gleason score or PSA. o Decipher analyzes a small tissue sample removed during surgery that is routinely archived or stored by the pathology lab. This test is intended for PC patients with stage T2 disease with positive margins, stage T3 disease, or rising serum PSA after RP. The test evaluates the expression of 1.4M RNA (44,000 genes) using RNA extracted from formalin-fixed paraffin-embedded (FFPE) tumor specimens of the index lesion, defined as the highest tumor stage or Gleason score. o The Decipher test result is expressed as a continuous risk score; a genomic classifier (GC) that ranges from 0 (lowest) to 1 (highest). Each score is associated with the probability of 5-year metastasis.

Guidelines and evidence

National Comprehensive Cancer Network

 The National Comprehensive Cancer Network (NCCN) 2018 Clinical Practice Guidelines on Prostate Cancer state the following regarding molecular assays:6

o “Men with low or favorable intermediate risk disease may consider the use of the following tumor-based molecular assays: Decipher, Oncotype DX Prostate, e Prolaris, Promark. Retrospective studies have shown that molecular assays h p

performed on prostate biopsy or radical prostatectomy specimens provide i

prognostic information independent of NCCN risk groups.”

o According to NCCN, the Molecular Diagnostic Services Program (MolDX) e 6 recommendations stated the following: D

. Decipher: “Cover post-RP for 1) pT2 with positive margins; 2) any pT3

disease; 3) rising PSA (above nadir)”

© eviCore healthcare. All Rights Reserved. 2 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

. Prolaris: “Cover post-biopsy for NCCN very-low, low-risk, and favorable intermediate-risk prostate cancer in patients with at least 10 years life expectancy who have not received treatment for prostate cancer and are candidates for active surveillance or definitive therapy.” . Oncotype DX Prostate: “Cover post-biopsy for NCCN very-low, low-risk, and favorable intermediate-risk prostate cancer in patients with at least 10 years life expectancy who have not received treatment for prostate cancer and are candidates for active surveillance or definitive therapy.” . ProMark: “Cover post-biopsy for NCCN very-low and low-risk prostate cancer in patients with at least 10 years life expectancy who have not received treatment for prostate cancer and are candidates for active surveillance or definitive therapy.”

o “These molecular biomarker tests have been developed with extensive industry support, guidance, and involvement, and have been marketed under the less rigorous FDA regulatory pathways for biomarkers. Although full assessment of their clinical utility requires prospective randomized clinical trials, which are unlikely to be done, the panel believes that men with low or favorable intermediate disease may consider the use of Decipher, Oncotype DX Prostate, Prolaris, or ProMark during initial risk stratification. In addition, Decipher may be considered during workup for radical prostatectomy PSA persistence or recurrence (category 2B).”

American Association of Clinical Urologists

The American Association of Clinical Urologists has issued a position statement on genomic testing in prostate cancer that states the following:7  “The AACU supports the use of tissue-based molecular testing as a component of risk stratification in prostate cancer treatment decision making.”

American Urological Association, ASTRO, and the Society of Urologic Oncology

The AUA/ASTRO/SUO guideline for clinically localized prostate cancer states the following:8 r

 “Among most low-risk localized prostate cancer patients, tissue based genomic e

biomarkers have not shown a clear role in the selection of candidates for active h

surveillance.” p i

Decipher c e

9-34 D

Decipher Literature Review

 There is currently limited evidence in the peer-reviewed literature to support the

widespread use of the Decipher test to accurately provide prognostic risk

stratification among patients with prostate cancer who have undergone RP in

© eviCore healthcare. All Rights Reserved. 3 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

routine clinical practice. The relatively large evidence base, published primarily by the test manufacturer, consists of retrospective case-control and retrospective cohort studies evaluating the strength of the association between the Decipher score and incidence of disease recurrence (e.g., biochemical recurrence, metastasis) or PC-associated mortality. Hazard and odds ratios from univariate and multivariate logistic regression analyses show significant associations between the test and clinical endpoint. Also, study results indicate that Decipher consistently discriminates between men at 5-year risk of metastatic disease progression after RP and men without disease progression with reasonable AUC and c-index estimates. Several studies reported reclassification rates using the Decipher test, indicating that patient risk could be stratified differently based on Decipher results. These types of reclassification calculations are useful since the clinical usefulness of a prognostic test has been reported to be reliant on its ability to categorize patients into different and more accurate prognostic groups, providing accurate predictions about their future disease state, and ultimately guiding optimal treatment regimens. However, these various estimates may be subject to bias and confounders given the several limitations that weaken the quality of the individual studies, including publication bias; patient overlap; insufficient follow-up periods and small number of metastatic event cases; bias associated with retrospective analyses; lack of observer or investigator blinding; missing or flawed registry data; Decipher sampling issues; and considerable heterogeneity between cases and controls for various demographic, disease risk factors, and treatment regimens.  It is not clear how results of the Decipher test will impact patient disease management and treatment strategies, and if any changes will translate into improved morbidity and mortality for high-risk PC patients. Results of new peer- reviewed studies of clinical utility will potentially provide higher quality evidence to better inform clinicians regarding patient selection criteria and appropriate use of the Decipher test among high-risk PC patients who are weighing the risk and benefits of various treatment options.  Results of a meta-analyses of 5 studies showed that Decipher moderately correlates with clinicopathologic measures and does appear to add benefit more than standard clinicopathologic measures to accurately assess prognosis and predict metastases in men who have undergone RP.

Clinical Trials r e

Observational prospective cohort study: A Validation Study on the Impact of Decipher® h

Testing on Treatment Recommendations in African-American and Non-African p American Men With Prostate Cancer (VANDAAM Study)35 i c

 “The primary purpose of this study is to determine whether a tumor test recently e

developed by GenomeDx Biosciences known as Decipher® can predict aggressive D

prostate cancer with the same accuracy in African-American men (AAM) as in non-

African-American men (NAAM).”

 NCT02723734

© eviCore healthcare. All Rights Reserved. 4 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

 Recruiting

Observational patient registry study: Decipher Genomics Resource Information Database (GRID)36  “To prospectively evaluate the utility of genomic expression data as a tool to better characterize the tumors of individual patients, and to understand how genomic information from individual patients undergoing routine clinical testing can be used in population-level analysis to improve treatment and outcomes.”  NCT02609269  Recruiting

Genomics in Michigan Impacting Observation or Radiation (G-MINOR)37  “To determine the impact of Decipher test results on adjuvant treatment decisions of high-risk post-RP patients with undetectable post-op prostate specific antigen (PSA) compared to clinical factors alone.”  NCT02783950  Active, not yet recruiting

Criteria  This test is considered investigational and/or experimental.

o Investigational and experimental (I&E) molecular and genomic (MolGen) tests refer to assays involving chromosomes, DNA, RNA, or gene products that have insufficient data to determine the net health impact, which typically means there is insufficient data to support that a test accurately assesses the outcome of interest (analytical and clinical validity), significantly improves health outcomes (clinical utility), and/or performs better than an existing standard of care medical management option. Such tests are also not generally accepted as standard of care in the evaluation or management of a particular condition. o In the case of MolGen testing, FDA clearance is not a reliable standard given the number of laboratory developed tests that currently fall outside of FDA r oversight and FDA clearance often does not assess clinical utility. e h p i

References c e 1. Bostrom PJ, Bjartell AS, Catto JW, et al. Genomic Predictors of Outcome in D

Prostate Cancer. European Urology. Dec 2015;68(6):1033-1044.

2. Marrone M, Potosky AL, Penson D, Freedman AN. A 22 Gene-expression Assay, ® Decipher (GenomeDx Biosciences) to Predict Five-year Risk of Metastatic

© eviCore healthcare. All Rights Reserved. 5 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

Prostate Cancer in Men Treated with Radical Prostatectomy. PLoS Currents. Nov 17 2015;7. 3. Moschini M, Spahn M, Mattei A, Cheville J, Karnes RJ. Incorporation of tissue- based genomic biomarkers into localized prostate cancer clinics. BMC Medicine. Apr 04 2016;14:67. 4. AHRQ. Gene expression profiling for predicting outcomes in patients with stage II colon cancer. 2012. 5. Decipher website. Available at: http://deciphertest.com/ 6. NCCN Clinical Practice Guidelines in Oncology: Prostate Cancer. V3.2018. Available at: https://www.nccn.org/professionals/physician_gls/pdf/prostate_blocks.pdf 7. American Association of Clinical Urologists, Inc. (AACU) website. Position statement: genomic testing in prostate cancer. Available at: https://aacuweb.org/docs/position-statements/ps_genomic-testing-in-prostate- cancer.aspx 8. Sanda MG, Cadeddu JA, Kirkby E, et al. Clinical localized prostate cancer: AUA/ASTRO/SUO guideline. part I: risk stratification, shared decision making, and care options. Journal of Urology. March 2018;199:683-690. 9. Tomlins SA, Alshalalfa M, Davicioni E, et al. Characterization of 1577 primary prostate cancers reveals novel biological and clinicopathologic insights into molecular subtypes. European Urology. Oct 2015;68(4):555-567. 10. Knudsen BS, Kim HL, Erho N, et al. Application of a clinical whole-transcriptome assay for staging and prognosis of prostate cancer diagnosed in needle core biopsy specimens. The Journal of Molecular Diagnostics. May 2016;18(3):395-406. 11. Erho N, Crisan A, Vergara IA, et al. Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy. PloS One. 2013;8(6):e66855. 12. Karnes RJ, Bergstralh EJ, Davicioni E, et al. Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population. The Journal of Urology. Dec 2013;190(6):2047-2053. 13. Den RB, Yousefi K, Trabulsi EJ, et al. Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation r therapy. Journal of Clinical Oncology. Mar 10 2015;33(8):944-951. e h

14. Ross AE, Feng FY, Ghadessi M, et al. A genomic classifier predicting metastatic p disease progression in men with biochemical recurrence after prostatectomy. i Prostate Cancer and Prostatic Diseases. Mar 2014;17(1):64-69. c e 15. Cooperberg MR, Davicioni E, Crisan A, Jenkins RB, Ghadessi M, Karnes RJ. D

Combined value of validated clinical and genomic risk stratification tools for

predicting prostate cancer mortality in a high-risk prostatectomy cohort. European

Urology. Feb 2015;67(2):326-333.

© eviCore healthcare. All Rights Reserved. 6 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

16. Den RB, Feng FY, Showalter TN, et al. Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy. International Journal of Radiation Oncology, Biology, Physics. Aug 1 2014;89(5):1038-1046. 17. Klein EA, Yousefi K, Haddad Z, 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. European Urology. Apr 2015;67(4):778-786. 18. Den RB, Santiago-Jimenez M, Alter J, et al. Decipher correlation patterns post prostatectomy: initial experience from 2 342 prospective patients. Prostate Cancer and Prostatic Diseases. Dec 2016;19(4):374-379. 19. Freedland SJ, Choeurng V, Howard L, et al. Utilization of a genomic classifier for prediction of metastasis following salvage radiation therapy after radical prostatectomy. European Urology. Jan 21 2016. 20. Glass AG, Leo MC, Haddad Z, et al. Validation of a genomic classifier for predicting post-prostatectomy recurrence in a community based health care setting. The Journal of Urology. Jun 2016;195(6):1748-1753. 21. Klein EA, Haddad Z, Yousefi K, et al. Decipher Genomic Classifier Measured on Prostate Biopsy Predicts Metastasis Risk. Urology. Apr 2016;90:148-152. 22. Lee HJ, Yousefi K, Haddad Z, et al. Evaluation of a genomic classifier in radical prostatectomy patients with lymph node metastasis. Research and Reports in Urology. 2016;8:77-84. 23. Ross AE, Johnson MH, Yousefi K, et al. Tissue-based genomics augments post- prostatectomy risk stratification in a natural history cohort of intermediate- and high-risk men. European Urology. Jan 2016;69(1):157-165. 24. Badani KK, Thompson DJ, Brown G, et al. Effect of a genomic classifier test on clinical practice decisions for patients with high-risk prostate cancer after surgery. BJU International. Mar 2015;115(3):419-429. 25. Michalopoulos SN, Kella N, Payne R, et al. Influence of a genomic classifier on post-operative treatment decisions in high-risk prostate cancer patients: results from the PRO-ACT study. Current Medical Research and Opinion. Aug 2014;30(8):1547-1556. r

26. Badani K, Thompson DJ, Buerki C, et al. Impact of a genomic classifier of e

metastatic risk on postoperative treatment recommendations for prostate cancer h

patients: a report from the DECIDE study group. Oncotarget. Apr 2013;4(4):600- p 609. i c

27. Nguyen PL, Shin H, Yousefi K, et al. Impact of a Genomic classifier of metastatic e

risk on postprostatectomy treatment recommendations by radiation oncologists and D

urologists. Urology. Jul 2015;86(1):35-40.

28. Spratt, DE, Yousefi K, Deheshi S, et al. Individual patient-level meta-analysis of the

performance of the Decipher Genomic Classifier in high-risk men after

© eviCore healthcare. All Rights Reserved. 7 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com Lab Management Guidelines v2.0.2019

prostatectomy to predict development of metastatic disease. J Clin Oncol. 2017;35:1991-98. 29. Gore JL, du Plessis M, Santiago-Jimenez M, 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):2850-2859. 30. Spratt DE, Dai DLY, Den RB, 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):107-114. 31. Nguyen PL, Haddad Z, Ross AE, 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):845-852. 32. Karnes RJ, Choeurng V, Ross AE, 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):168-175. 33. Berlin A, Murgic J, Hosni 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. 34. Olleik G, Kassouf W, Aprikian A, et al. Evaluation of new tests and interventions for prostate cancer management: a systematic review. J Natl Compr Canc Netw. 2018;16(11):1340-1351. 35. Clinicaltrials.gov: Observational prospective cohort study: A Validation study on the impact of Decipher® testing on treatment recommendations in African-American and Non-African American men With prostate cancer (VANDAAM Study) NCT02723734 Available at: https://clinicaltrials.gov/ct2/show/NCT02723734? term=NCT02723734&rank=1 36. Clinicaltrials.gov: Observational patient registry study: Decipher Genomics Resource Information Database. NCT02609269. Available at: https://clinicaltrials.gov/ct2/show/NCT02609269?term=NCT02609269&rank=1 37. Clnicaltrials.gov: Genomics in Michigan Impacting Observation or Radiation (G- MINOR). NCT02783950. Available at: https://www.clinicaltrials.gov/ct2/show/NCT02783950? r

term=NCT0html2783950&rank=1 e h p i c e D

© eviCore healthcare. All Rights Reserved. 8 of 8 400 Buckwalter Place Boulevard, Bluffton, SC 29910 (800) 918-8924 www.eviCore.com