Transcriptomic Profiling of Primary Prostate Cancers and Nonlocalized Disease on Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography: A Multicenter Retrospective Study

Author:

Nikitas John1ORCID,Subramanian Kritika2,Gozal Nimrod Barashi3,Ricaurte-Fajardo Andres4ORCID,Li Eric5ORCID,Proudfoot James A.6,Davicioni Elai6ORCID,Marciscano Ariel E.7ORCID,Osborne Joseph R.4ORCID,Barbieri Christopher E.8ORCID,Armstrong Wesley R.9ORCID,Smith Clayton P.1ORCID,Valle Luca F.110ORCID,Steinberg Michael L.1ORCID,Boutros Paul C.11ORCID,Nickols Nicholas G.1,Rettig Matthew B.1213ORCID,Reiter Robert11ORCID,Weiner Adam B.1114,Calais Jeremie9ORCID,Czernin Johannes9,Ross Ashley Evan5ORCID,Kim Eric H.1516ORCID,Nagar Himanshu7,Kishan Amar U.111ORCID

Affiliation:

1. Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA

2. Department of Nuclear Medicine, New York-Presbyterian/Weill Cornell Hospital, New York, NY

3. Division of Urologic Surgery, Washington University School of Medicine, St Louis, MO

4. Department of Radiology, New York-Presbyterian/Weill Cornell Hospital, New York, NY

5. Department of Urology, Northwestern University, Feinberg School of Medicine, Chicago, IL

6. Veracyte Inc, San Diego, CA

7. Department of Radiation Oncology, New York-Presbyterian Hospital/Weill Cornell Medical College, New York, NY

8. Department of Urology, New York-Presbyterian/Weill Cornell Medical Center, New York, NY

9. Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA

10. Radiation Oncology Service, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, CA

11. Department of Urology, University of California, Los Angeles, Los Angeles, CA

12. Departments of Medicine and Urology, University of California, Los Angeles, Los Angeles, CA

13. Division of Hematology-Oncology, Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA

14. Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA

15. Division of Urology, Department of Surgery, University of Nevada Reno School of Medicine, Reno, NV

16. Department of Physiology and Cell Biology, University of Nevada Reno School of Medicine, Reno, NV

Abstract

PURPOSE To characterize the relationship between Decipher genomic classifier scores and prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT)–based metastatic spread. MATERIALS AND METHODS We identified patients from four institutions who underwent PSMA PET/CT scans pretreatment for primary staging or postradical prostatectomy (RP) for suspected recurrence and had Decipher transcriptomic data available from biopsy or RP specimens. PSMA PET/CT-based patterns of spread were classified as localized (miT + N0M0) or nonlocalized (miN1M0 or miM1a-c). We calculated the association between Decipher scores and the risk of nonlocalized disease on PSMA PET/CT using multivariable logistic regression for pretreatment patients and multivariable Cox regression for post-RP patients. We also compared select transcriptomic signatures between patients with localized and nonlocalized diseases. RESULTS Five hundred eighty-six patients were included (pretreatment: n = 329; post-RP: n = 257). Higher Decipher scores were associated with nonlocalized disease on PSMA PET/CT both pretreatment (odds ratio, 1.18 [95% CI, 1.03 to 1.36] per 0.1 increase in Decipher score, P = .02) and post-RP (hazard ratio, 1.15 [95% CI, 1.05 to 1.27] per 0.1 increase in Decipher score, P = .003). In the pretreatment setting, nonlocalized disease was associated with higher rates of TP53 mutations and lower rates of PAM50 luminal A subtype compared with localized disease. In the post-RP setting, overexpression of signatures related to metabolism, DNA repair, and androgen receptor signaling were associated with higher rates of nonlocalized disease. CONCLUSION Higher Decipher scores were associated with nonlocalized disease identified on PSMA PET/CT both pretreatment and post-RP. There were several transcriptomic differences between localized and nonlocalized diseases in both settings.

Publisher

American Society of Clinical Oncology (ASCO)

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