Mp17-09 development of a longitudinal prostate cancer transcriptomic and real-world clinical data linkage

You have accessJournal of UrologyCME1 Apr 2023MP17-09 DEVELOPMENT OF A LONGITUDINAL PROSTATE CANCER TRANSCRIPTOMIC AND REAL-WORLD CLINICAL DATA LINKAGE Michael Leapman, Julian Ho, Yang Liu, Xin Zhao, Alexander Hakansson, James Proudfoot, Elai Davicioni, Darryl Martin, Yi An, Tyler Seibert, Daniel Spratt, Matthew Cooperberg, Ashley Ross, and Preston Sprenkle Michael LeapmanMichael Leapman More articles by this author , Julian HoJulian Ho More articles by this author , Yang LiuYang Liu More articles by this author , Xin ZhaoXin Zhao More articles by this author , Alexander HakanssonAlexander Hakansson More articles by this author , James ProudfootJames Proudfoot More articles by this author , Elai DavicioniElai Davicioni More articles by this author , Darryl MartinDarryl Martin More articles by this author , Yi AnYi An More articles by this author , Tyler SeibertTyler Seibert More articles by this author , Daniel SprattDaniel Spratt More articles by this author , Matthew CooperbergMatthew Cooperberg More articles by this author , Ashley RossAshley Ross More articles by this author , and Preston SprenklePreston Sprenkle More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003237.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: We developed a novel linkage between the Decipher prostate genomic classifier (GC) and real-world patient data in the United States across payors and sites of care. METHODS: Clinical and transcriptomic data from clinical use of the Decipher prostate GC between 2013-2022 (Veracyte Inc., San Diego, CA) were linked with real-world data aggregated from insurance claims, pharmacy records, and electronic health record (EHR) data (Clarivate, Chandler, AZ). Patients were anonymously linked between datasets by deterministic methods through a de-identification engine using encrypted tokens (Datavant, San Francisco, CA), Figure 1. The objective of this study was to develop algorithms for identifying prostate cancer diagnoses, treatment timing, and clinical outcomes (biochemical recurrence, BCR, and prostate cancer metastases) in RWD using diagnosis, common procedural terminology (CPT) codes, pharmacy codes, SNOMED clinical terms and unstructured text in the electronic health record (EHR). We compared the accuracy of RWD algorithms using clinical information obtained during Decipher testing as the reference standard. RESULTS: A total of 92,976 of 95,578 (97.2%) patients with Decipher prostate GC were successfully linked to RWD, including 53,871 from biopsy and 39,105 from radical prostatectomy (RP) tests. The median age at Decipher testing was 66.4 years [IQR 61.0, 71.0]. The concordance of prostate cancer diagnoses was 85.0%, including 80.8% for biopsy and 90.7% for RP. Year of treatment was concordant in 98.6% of patients undergoing GC testing at RP, and 87.4% in patients with biopsy GC tests. BCR was identified based on diagnosis code (R 97.21 of ICD-10) (96.3%), unstructured text (0.05%) and both in (3.65%). Similarly, metastases were identified based on diagnosis codes (94.9%), unstructured text (1.38%) and both (3.73%). CONCLUSIONS: We established the first national-scale linkage of transcriptomic and longitudinal clinical data yielding high accuracy for identifying key clinical junctures including diagnosis, treatment, and early cancer outcome. This resource can be leveraged to enhance understandings of disease biology, patterns of care and treatment effectiveness. Source of Funding: Veracyte Inc © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e216 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Michael Leapman More articles by this author Julian Ho More articles by this author Yang Liu More articles by this author Xin Zhao More articles by this author Alexander Hakansson More articles by this author James Proudfoot More articles by this author Elai Davicioni More articles by this author Darryl Martin More articles by this author Yi An More articles by this author Tyler Seibert More articles by this author Daniel Spratt More articles by this author Matthew Cooperberg More articles by this author Ashley Ross More articles by this author Preston Sprenkle More articles by this author Expand All Advertisement PDF downloadLoading ...