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      Li-Fraumeni syndrome: not a straightforward diagnosis anymore—the interpretation of pathogenic variants of low allele frequency and the differences between germline PVs, mosaicism, and clonal hematopoiesis

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          Abstract

          The introduction of next-generation sequencing has resulted in testing multiple genes simultaneously to identify inherited pathogenic variants (PVs) in cancer susceptibility genes. PVs with low minor allele frequencies (MAFs) (< 25–35%) are highlighted on germline genetic test reports. In this review, we focus on the challenges of interpreting PVs with low MAF in breast cancer patients undergoing germline testing and the implications for management.

          The clinical implications of a germline PV are substantial. For PV carriers in high-penetrance genes like BRCA1, BRCA2, and TP53, prophylactic mastectomy is often recommended and radiation therapy avoided when possible for those with Li-Fraumeni syndrome (LFS). For germline PV carriers in more moderate-risk genes such as PALB2, ATM, and CHEK2, annual breast MRI is recommended and prophylactic mastectomies considered for those with significant family histories. Detection of PVs in cancer susceptibility genes can also lead to recommendations for other prophylactic surgeries (e.g., salpingo-oophorectomy) and increased surveillance for other cancers. Therefore, recognizing when a PV is somatic rather than germline and distinguishing somatic mosaicism from clonal hematopoiesis (CH) is essential. Mutational events that occur at a post-zygotic stage are somatic and will only be present in tissues derived from the mutated cell, characterizing classic mosaicism. Clonal hematopoiesis is a form of mosaicism restricted to the hematopoietic compartment.

          Among the genes in multi-gene panels used for germline testing of breast cancer patients, the detection of a PV with low MAF occurs most often in TP53, though has been reported in other breast cancer susceptibility genes. Distinguishing a germline TP53 PV (LFS) from a somatic PV ( TP53 mosaicism or CH) has enormous implications for breast cancer patients and their relatives.

          We review how to evaluate a PV with low MAF. The identification of the PV in another tissue confirms mosaicism. Older age, exposure to chemotherapy, radiation, and tobacco are known risk factors for CH, as is the absence of a LFS-related cancer in the setting of a TP53 PV with low MAF. The ability to recognize and understand the implications of somatic PVs, including somatic mosaicism and CH, enables optimal personalized care of breast cancer patients.

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          Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes

          Clonal hematopoiesis (CH), as evidenced by recurrent somatic mutations in leukemia-associated genes, commonly occurs among aging human hematopoietic stem cells. We analyzed deep coverage, targeted next-generation sequencing (NGS) data of paired tumor and blood samples from 8,810 individuals to assess the frequency and clinical relevance of CH in patients with non-hematologic malignancies. We identified CH in 25% of cancer patients, with 4.5% harboring presumptive leukemia driver mutations (CH-PD). CH was associated with increased age, prior radiation therapy, and tobacco use. PPM1D and TP53 mutations were associated with prior exposure to chemotherapy. CH and CH-PD led to an increased incidence for subsequent hematologic cancers, and CH-PD was associated with shorter patient survival. These data suggest CH occurs in an age-dependent manner and specific perturbations can enhance fitness of clonal hematopoietic stem cells, which can impact outcome through progression to hematologic malignancies and through cell non-autonomous effects on solid tumor biology.
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            False positive plasma genotyping due to clonal hematopoiesis

            Purpose: Plasma cell-free DNA (cfDNA) genotyping is increasingly used in cancer care, but assay accuracy has been debated. Because most cfDNA is derived from peripheral blood cells (PBC), we hypothesized that nonmalignant mutations harbored by hematopoietic cells (clonal hematopoiesis, CH) could be a cause of false-positive plasma genotyping.Experimental Design: We identified patients with advanced non-small cell lung cancer (NSCLC) with KRAS, JAK2, or TP53 mutations identified in cfDNA. With consent, PBC DNA was tested using droplet digital PCR (ddPCR) or next-generation sequencing (NGS) to test for CH-derived mutations.Results: We first studied plasma ddPCR results from 58 patients with EGFR-mutant NSCLC. Two had KRAS G12X detected in cfDNA, and both were present in PBC, including one where the KRAS mutation was detected serially for 20 months. We then studied 143 plasma NGS results from 122 patients with NSCLC and identified 5 JAK2 V617F mutations derived from PBC. In addition, 108 TP53 mutations were detected in cfDNA; for 33 of the TP53 mutations, PBC and tumor NGS were available for comparison, and 5 were present in PBC but absent in tumor, consistent with CH.Conclusions: We find that most JAK2 mutations, some TP53 mutations, and rare KRAS mutations detected in cfDNA are derived from CH not tumor. Clinicians ordering plasma genotyping must be prepared for the possibility that mutations detected in plasma, particularly in genes mutated in CH, may not represent true tumor genotype. Efforts to use plasma genotyping for cancer detection may need paired PBC genotyping so that CH-derived mutations are not misdiagnosed as occult malignancy. Clin Cancer Res; 24(18); 4437-43. ©2018 AACRSee related commentary by Bauml and Levy, p. 4352.
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              Clinical significance of somatic mutation in unexplained blood cytopenia.

              Unexplained blood cytopenias, in particular anemia, are often found in older persons. The relationship between these cytopenias and myeloid neoplasms like myelodysplastic syndromes is currently poorly defined. We studied a prospective cohort of patients with unexplained cytopenia with the aim to estimate the predictive value of somatic mutations for identifying subjects with, or at risk of, developing a myeloid neoplasm. The study included a learning cohort of 683 consecutive patients investigated for unexplained cytopenia, and a validation cohort of 190 patients referred for suspected myeloid neoplasm. Using granulocyte DNA, we looked for somatic mutations in 40 genes that are recurrently mutated in myeloid malignancies. Overall, 435/683 patients carried a somatic mutation in at least 1 of these genes. Carrying a somatic mutation with a variant allele frequency ≥0.10, or carrying 2 or more mutations, had a positive predictive value for diagnosis of myeloid neoplasm equal to 0.86 and 0.88, respectively. Spliceosome gene mutations and comutation patterns involving TET2, DNMT3A, or ASXL1 had positive predictive values for myeloid neoplasm ranging from 0.86 to 1.0. Within subjects with inconclusive diagnostic findings, carrying 1 or more somatic mutations was associated with a high probability of developing a myeloid neoplasm during follow-up (hazard ratio = 13.9, P < .001). The predictive values of mutation analysis were confirmed in the independent validation cohort. The findings of this study indicate that mutation analysis on peripheral blood granulocytes may significantly improve the current diagnostic approach to unexplained cytopenia and more generally the diagnostic accuracy of myeloid neoplasms.
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                Author and article information

                Contributors
                fbatalin@bidmc.harvard.edu
                epeacock@bidmc.harvard.edu
                lstobie@bidmc.harvard.edu
                alison_robertson@dfci.harvard.edu
                judy_garber@dfci.harvard.edu
                jweitzel@coh.org
                ntung@bidmc.harvard.edu
                Journal
                Breast Cancer Res
                Breast Cancer Res
                Breast Cancer Research : BCR
                BioMed Central (London )
                1465-5411
                1465-542X
                18 September 2019
                18 September 2019
                2019
                : 21
                : 107
                Affiliations
                [1 ]ISNI 000000041936754X, GRID grid.38142.3c, Division of Hematology and Oncology, Beth Israel Deaconess Medical Center, , Harvard Medical School, ; 330 Brookline Ave, Boston, MA 02215 USA
                [2 ]ISNI 0000 0001 2106 9910, GRID grid.65499.37, Dana-Farber Cancer Institute, ; 450 Brookline Ave, Boston, MA 02215 USA
                [3 ]Center for Cancer Genetics and Prevention, Harvard Medical School, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215 USA
                [4 ]ISNI 0000 0004 0421 8357, GRID grid.410425.6, Division of Clinical Cancer Genomics, , City of Hope Cancer Center, ; 1500 East Duarte Road, Duarte, CA 91010 USA
                [5 ]ISNI 000000041936754X, GRID grid.38142.3c, Cancer Risk and Prevention Program, Beth Israel Deaconess Medical Center, , Harvard Medical School, ; 330 Brookline Ave., Boston, MA 02215 USA
                Author information
                http://orcid.org/0000-0003-1422-3734
                Article
                1193
                10.1186/s13058-019-1193-1
                6749714
                31533767
                c44e9189-4932-4fc9-b132-7632ffc7b93b
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 April 2019
                : 28 August 2019
                Categories
                Review
                Custom metadata
                © The Author(s) 2019

                Oncology & Radiotherapy
                mutation,pathogenic variant,tp53,li-fraumeni syndrome,hereditary breast cancer,clonal hematopoiesis,mosaicism,low allele frequency

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