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      Association of Clonal Hematopoiesis in DNA Repair Genes With Prostate Cancer Plasma Cell-free DNA Testing Interference

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          Key Points

          Question

          How often are cell-free DNA (cfDNA) studies in prostate cancer confounded by clonal hematopoiesis (CHIP) variants in genes used for poly(ADP) ribose polymerase inhibitor (PARPi) eligibility?

          Findings

          In this case series study of 69 men with advanced prostate cancer, 7 (10%) had CHIP variants in genes used for US Food and Drug Administration-approved indications of PARPi treatment, most frequently in ATM.

          Meaning

          Men with prostate cancer are at high risk of being misdiagnosed as being eligible for PARPi therapy using current cfDNA tests; assays should use a whole-blood control sample to distinguish CHIP variants from prostate cancer.

          Abstract

          This case series study examines the prevalence of clonal hematopoiesis and its potential interference in prostate cancer cell-free DNA testing.

          Abstract

          Importance

          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.

          Objective

          To determine the prevalence of clinically relevant CHIP interference in prostate cancer cfDNA testing.

          Design, Setting, and Participants

          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.

          Main Outcomes and Measures

          Prevalence and gene spectrum of CHIP interference in patients with prostate cancer undergoing cfDNA testing.

          Results

          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 ( R 2 = 0.82). CHIP interference variants could be distinguished from prostate cancer variants using a paired whole-blood control.

          Conclusions and Relevance

          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.

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          Most cited references15

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          Age-related clonal hematopoiesis associated with adverse outcomes.

          The incidence of hematologic cancers increases with age. These cancers are associated with recurrent somatic mutations in specific genes. We hypothesized that such mutations would be detectable in the blood of some persons who are not known to have hematologic disorders. We analyzed whole-exome sequencing data from DNA in the peripheral-blood cells of 17,182 persons who were unselected for hematologic phenotypes. We looked for somatic mutations by identifying previously characterized single-nucleotide variants and small insertions or deletions in 160 genes that are recurrently mutated in hematologic cancers. The presence of mutations was analyzed for an association with hematologic phenotypes, survival, and cardiovascular events. Detectable somatic mutations were rare in persons younger than 40 years of age but rose appreciably in frequency with age. Among persons 70 to 79 years of age, 80 to 89 years of age, and 90 to 108 years of age, these clonal mutations were observed in 9.5% (219 of 2300 persons), 11.7% (37 of 317), and 18.4% (19 of 103), respectively. The majority of the variants occurred in three genes: DNMT3A, TET2, and ASXL1. The presence of a somatic mutation was associated with an increase in the risk of hematologic cancer (hazard ratio, 11.1; 95% confidence interval [CI], 3.9 to 32.6), an increase in all-cause mortality (hazard ratio, 1.4; 95% CI, 1.1 to 1.8), and increases in the risks of incident coronary heart disease (hazard ratio, 2.0; 95% CI, 1.2 to 3.4) and ischemic stroke (hazard ratio, 2.6; 95% CI, 1.4 to 4.8). Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease. (Funded by the National Institutes of Health and others.).
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            Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence.

            Cancers arise from multiple acquired mutations, which presumably occur over many years. Early stages in cancer development might be present years before cancers become clinically apparent. We analyzed data from whole-exome sequencing of DNA in peripheral-blood cells from 12,380 persons, unselected for cancer or hematologic phenotypes. We identified somatic mutations on the basis of unusual allelic fractions. We used data from Swedish national patient registers to follow health outcomes for 2 to 7 years after DNA sampling. Clonal hematopoiesis with somatic mutations was observed in 10% of persons older than 65 years of age but in only 1% of those younger than 50 years of age. Detectable clonal expansions most frequently involved somatic mutations in three genes (DNMT3A, ASXL1, and TET2) that have previously been implicated in hematologic cancers. Clonal hematopoiesis was a strong risk factor for subsequent hematologic cancer (hazard ratio, 12.9; 95% confidence interval, 5.8 to 28.7). Approximately 42% of hematologic cancers in this cohort arose in persons who had clonality at the time of DNA sampling, more than 6 months before a first diagnosis of cancer. Analysis of bone marrow-biopsy specimens obtained from two patients at the time of diagnosis of acute myeloid leukemia revealed that their cancers arose from the earlier clones. Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death. A subset of the genes that are mutated in patients with myeloid cancers is frequently mutated in apparently healthy persons; these mutations may represent characteristic early events in the development of hematologic cancers. (Funded by the National Human Genome Research Institute and others.).
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              • Abstract: found
              • Article: not found

              Olaparib for Metastatic Castration-Resistant Prostate Cancer

              Multiple loss-of-function alterations in genes that are involved in DNA repair, including homologous recombination repair, are associated with response to poly(adenosine diphosphate-ribose) polymerase (PARP) inhibition in patients with prostate and other cancers.
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                Author and article information

                Journal
                JAMA Oncol
                JAMA Oncol
                JAMA Oncol
                JAMA Oncology
                American Medical Association
                2374-2437
                2374-2445
                5 November 2020
                January 2021
                5 November 2020
                : 7
                : 1
                : 107-110
                Affiliations
                [1 ]Department of Laboratory Medicine, University of Washington, Seattle
                [2 ]Department of Medicine, Division of Medical Oncology, University of Washington, Seattle
                [3 ]Brotman Baty Institute for Precision Medicine, Seattle, Washington
                [4 ]Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
                [5 ]Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
                Author notes
                Article Information
                Accepted for Publication: August 13, 2020.
                Published Online: November 5, 2020. doi:10.1001/jamaoncol.2020.5161
                Corresponding Author: Colin C. Pritchard, MD, PhD, University of Washington, 1959 NE Pacific St, PO Box 357110, Seattle, WA 98195 ( cpritch@ 123456uw.edu ).
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Jensen K et al. JAMA Oncology.
                Author Contributions: Dr Pritchard had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Jensen, Sokolova, Nelson, Pritchard.
                Acquisition, analysis, or interpretation of data: Jensen, Konnick, Schweizer, Grivas, Cheng, Klemfuss, Beightol, Yu, Montgomery, Pritchard.
                Drafting of the manuscript: Jensen, Konnick, Schweizer, Beightol, Nelson, Pritchard.
                Critical revision of the manuscript for important intellectual content: Jensen, Konnick, Schweizer, Sokolova, Grivas, Cheng, Klemfuss, Yu, Montgomery, Pritchard.
                Statistical analysis: Jensen, Pritchard.
                Obtained funding: Nelson, Pritchard.
                Administrative, technical, or material support: Konnick, Cheng, Klemfuss, Beightol, Yu, Nelson, Montgomery, Pritchard.
                Supervision: Konnick, Pritchard.
                Conflict of Interest Disclosures: Dr Pritchard consults for AstraZeneca and Promega. Dr Grivas consults for AstraZeneca, Bayer, Bristol Myers Squibb, Clovis Oncology, Driver, EMD Serono, Exelixis, Foundation Medicine, GlaxoSmithKline, Genentech, Genzyme, Heron Therapeutics, Janssen, Merck, Mirati Therapeutics, Pfizer, Roche, Seattle Genetics, and QED Therapeutics; he also reports participation in an educational program for Bristol Myers Squibb; and institutional research funding from AstraZeneca, Bavarian Nordic, Bayer, Bristol Myers Squibb, Clovis Oncology, Debiopharm, Genentech, Immunomedics, Kure It Cancer Research, Merck, Mirati Therapeutics, Oncogenex, Pfizer, and QED Therapeutics. No other conflicts were reported.
                Funding/Support: This work was supported by US Department of Defense awards W81XWH-18-1-0756 (PC170510) (design and conduct of the study), W81XWH-18-1-0356 (PC170503P2) (design and conduct of the study), W81XWH-18-1-0354 (design and conduct of the study), and W81XWH-16-1-0484 (design and conduct of the study), the Pacific Northwest Prostate Cancer SPORE CA097186, the Brotman Baty Institute for Precision Medicine (design and conduct of the study), the Prostate Cancer Foundation (design and conduct of the study), the UW/FHCRC Institute for Prostate Cancer Research (IPCR) (design and conduct of the study, collection, management, analysis, and interpretation of the data), and National Institutes of Health/National Cancer Institute Cancer Center Support Grant P30 CA015704 (design and conduct of the study).
                Role of the Funder/Sponsor: The funding agencies had a role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                cbr200017
                10.1001/jamaoncol.2020.5161
                7645740
                33151258
                fe56620b-4def-4cc7-a15d-5f67d119b1c5
                Copyright 2020 Jensen K et al. JAMA Oncology.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 17 June 2020
                : 13 August 2020
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                Research
                Research
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