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      High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants

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      1 , 2 , 9 , * , 1 , 9 , 3 , 9 , 4 , 4 , 5 , 1 , 6 , 7 , 4 , 4 , 3 , 1 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 4 , 1 , 4 , 8 , 8 , 8 , 8 , 3 , 1 , 8 , 8 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 7 , 4 , 2 , 3 , *
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          Abstract

          Accurate identification of tumor-derived somatic variants in plasma circulating cell-free DNA (cfDNA) requires understanding the various biologic compartments contributing to the cfDNA pool. We sought to define the technical feasibility of a high-intensity sequencing assay of cfDNA and matched white-blood cell (WBC) DNA covering a large genomic region (508 genes, 2Mb, >60,000X raw-depth) in a prospective study of 124 metastatic cancer patients, with contemporaneous matched tumor tissue biopsies, and 47 non-cancer controls. The assay displayed a high sensitivity and specificity, allowing for de novo detection of tumor-derived mutations and inference of tumor mutational burden, microsatellite instability, mutational signatures and sources of somatic mutations identified in cfDNA. The vast majority of cfDNA mutations (81.6% in controls and 53.2% in cancer patients) had features consistent with clonal hematopoiesis (CH). This cfDNA sequencing approach revealed that CH constitutes a pervasive biological phenomenon emphasizing the importance of matched cfDNA-WBC sequencing for accurate variant interpretation.

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          Detection and quantification of rare mutations with massively parallel sequencing.

          The identification of mutations that are present in a small fraction of DNA templates is essential for progress in several areas of biomedical research. Although massively parallel sequencing instruments are in principle well suited to this task, the error rates in such instruments are generally too high to allow confident identification of rare variants. We here describe an approach that can substantially increase the sensitivity of massively parallel sequencing instruments for this purpose. The keys to this approach, called the Safe-Sequencing System ("Safe-SeqS"), are (i) assignment of a unique identifier (UID) to each template molecule, (ii) amplification of each uniquely tagged template molecule to create UID families, and (iii) redundant sequencing of the amplification products. PCR fragments with the same UID are considered mutant ("supermutants") only if ≥95% of them contain the identical mutation. We illustrate the utility of this approach for determining the fidelity of a polymerase, the accuracy of oligonucleotides synthesized in vitro, and the prevalence of mutations in the nuclear and mitochondrial genomes of normal cells.
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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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              Is Open Access

              Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients

              Circulating tumour DNA (ctDNA) analysis facilitates studies of tumour heterogeneity. Here we employ CAPP-Seq ctDNA analysis to study resistance mechanisms in 43 non-small cell lung cancer (NSCLC) patients treated with the third-generation epidermal growth factor receptor (EGFR) inhibitor rociletinib. We observe multiple resistance mechanisms in 46% of patients after treatment with first-line inhibitors, indicating frequent intra-patient heterogeneity. Rociletinib resistance recurrently involves MET, EGFR, PIK3CA, ERRB2, KRAS and RB1. We describe a novel EGFR L798I mutation and find that EGFR C797S, which arises in ∼33% of patients after osimertinib treatment, occurs in <3% after rociletinib. Increased MET copy number is the most frequent rociletinib resistance mechanism in this cohort and patients with multiple pre-existing mechanisms (T790M and MET) experience inferior responses. Similarly, rociletinib-resistant xenografts develop MET amplification that can be overcome with the MET inhibitor crizotinib. These results underscore the importance of tumour heterogeneity in NSCLC and the utility of ctDNA-based resistance mechanism assessment.
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                Author and article information

                Journal
                9502015
                8791
                Nat Med
                Nat. Med.
                Nature medicine
                1078-8956
                1546-170X
                2 November 2019
                25 November 2019
                December 2019
                25 May 2020
                : 25
                : 12
                : 1928-1937
                Affiliations
                [1 ]Memorial Sloan Kettering Cancer Center, Department of Medicine, and Weill Cornell Medical College, New York, NY.
                [2 ]Memorial Sloan Kettering Cancer Center, Human Oncology and Pathogenesis Program, New York, NY.
                [3 ]Memorial Sloan Kettering Cancer Center, Department of Pathology, New York, NY.
                [4 ]GRAIL, Inc. Menlo Park, CA.
                [5 ]Memorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, NY.
                [6 ]Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY.
                [7 ]Memorial Sloan Kettering Cancer Center, Marie-Josée and Henry R. Kravis Center for Molecular Oncology, New York, NY.
                [8 ]Memorial Sloan Kettering Cancer Center, Department of Surgery, and Weill Cornell Medical College, New York, NY.
                [9 ]Equal Contribution
                Author notes
                [†]

                Current affiliation: Foresite Capital Management, San Francisco, CA.

                [§]

                Current affiliation: Genentech, Inc., South San Francisco, CA.

                [¥]

                Current affiliation: MyoKardia, Inc., South San Francisco, CA.

                [‡]

                Current affiliation: BeiGene, Ltd., San Mateo, CA.

                Author Contributions

                Conceived the study: P.R., B.T.L., D.B.S., A.M.A., J.S.R-F; Data acquisition: P.R., B.T.L., B.J., W.A., K.J., C.H., A.A., R.V.S., K.L., L.S., N.E., J.Y., H.X., M.P.H., A.S.-Z, W.F.N, J.M.I., V.W.R., G.P., M.L., A.S., A.S.H., M.L., D.M.H., D.R.J., M.M., G.J.R., H.I.S., C.M.R., M.E.R., L.A.D., D.B.S., A.M.A.; Data analysis and interpretation: P.R., D.N.B., E.H., R.S., I.D.B., O.V., R.L., T.M., Q.L., A.W.B., A.M.A., J.S.R-F. Bioinformatics and genomic analysis: P.R., D.N.B., E.H., R.S., I.D.B., O.V., S.G., A.W.B., A.M.A., J.S.R-F. Manuscript first draft: P.R., D.N.B., E.H., M.P.H., A.M.A., J.S.R-F wrote the manuscript with input from all authors. Manuscript review and approval: all authors.

                Article
                NIHMS1541314
                10.1038/s41591-019-0652-7
                7061455
                31768066
                fc922a6c-8d5e-4e0c-9d73-1611e873b0f8

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