Cell-free DNA (cfDNA) testing is increasingly used in the treatment of patients with advanced prostate cancer. Clonal hematopoiesis of indeterminate potential (CHIP) can interfere with cfDNA testing and cause incorrect interpretation of results. There is an urgent need to better understand this problem following recent US Food and Drug Administration approval of poly(ADP) ribose polymerase inhibitors (PARPi) for metastatic prostate cancer based on variants in DNA repair genes that can be affected by CHIP.
To determine the prevalence of clinically relevant CHIP interference in prostate cancer cfDNA testing.
We report a case series of 69 patients with advanced prostate cancer (metastatic disease or with rising PSA following localized therapy) who had cfDNA variant testing with a large panel cancer next generation sequencing assay (UW-OncoPlexCT). To determine the source of variants in plasma, we tested paired cfDNA and whole blood control samples. The study was carried out in an academic medical center system reference laboratory.
Prevalence and gene spectrum of CHIP interference in patients with prostate cancer undergoing cfDNA testing.
We detected CHIP variants at 2% or more variant fraction in cfDNA from 13 of 69 men with prostate cancer (19%; 95% CI, 10%-30%). Seven men (10%; 95% CI, 4%-20%) had CHIP variants in DNA repair genes used to determine PARPi candidacy, including ATM (n = 5), BRCA2 (n = 1), and CHEK2 (n = 1). Overall, CHIP variants accounted for almost half of the somatic DNA repair gene variants detected. Participant CHIP variants were exponentially correlated with older age (R2 = 0.82). CHIP interference variants could be distinguished from prostate cancer variants using a paired whole-blood control.
In this case series, approximately 10% of men with advanced prostate cancer had CHIP interference in plasma cfDNA in DNA repair genes that are used for eligibility of PARPi therapy, most frequently in ATM. Clinical cfDNA testing should include a paired whole-blood control to exclude CHIP variants and avoid misdiagnosis.
JAMA oncology. 2020 Nov 05 [Epub ahead of print]
Kendal Jensen, Eric Q Konnick, Michael T Schweizer, Alexandra O Sokolova, Petros Grivas, Heather H Cheng, Nola M Klemfuss, Mallory Beightol, Evan Y Yu, Peter S Nelson, Bruce Montgomery, Colin C Pritchard
Department of Laboratory Medicine, University of Washington, Seattle., Department of Medicine, Division of Medical Oncology, University of Washington, Seattle., Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.