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      MYD88 L265P mutation and CDKN2A loss are early mutational events in primary central nervous system diffuse large B-cell lymphomas

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          Abstract

          <p id="d3471725e426"> <div class="list"> <a class="named-anchor" id="d3471725e428"> <!-- named anchor --> </a> <ul class="so-custom-list"> <li id="d3471725e429"> <div class="so-custom-list-content so-ol"> <p class="first" id="d3471725e430"> <i>MYD88</i> L265P mutation and <i>CDKN2A</i> loss are early mutational events in PCNSL. </p> </div> </li> <li id="d3471725e438"> <div class="so-custom-list-content so-ol"> <p class="first" id="d3471725e439">PD-L1 expression was not unregulated in our cohort of PCNSL.</p> </div> </li> </ul> </div> </p><p class="first" id="d3471725e444">The genetic alterations that define primary central nervous system lymphoma (PCNSL) are incompletely elucidated, and the genomic evolution from diagnosis to relapse is poorly understood. We performed whole-exome sequencing (WES) on 36 PCNSL patients and targeted <i>MYD88</i> sequencing on a validation cohort of 27 PCNSL patients. We also performed WES and phylogenetic analysis of 3 matched newly diagnosed and relapsed tumor specimens and 1 synchronous intracranial and extracranial relapse. Immunohistochemistry (IHC) for programmed death-1 ligand (PD-L1) was performed on 43 patient specimens. Combined WES and targeted sequencing identified <i>MYD88</i> mutation in 67% (42 of 63) of patients, <i>CDKN2A</i> biallelic loss in 44% (16 of 36), and <i>CD79b</i> mutation in 61% (22 of 36). Copy-number analysis demonstrated frequent regions of copy loss (ie, <i>CDKN2A</i>), with few areas of amplification. <i>CD79b</i> mutations were associated with improved progression-free and overall survival. We did not identify amplification at the <i>PD-1</i>/ <i>PD-L1</i> loci. IHC for PD-L1 revealed membranous expression in 30% (13 of 43) of specimens. Phylogenetic analysis of paired primary and relapsed specimens identified <i>MYD88</i> mutation and <i>CDKN2A</i> loss as early clonal events. PCNSL is characterized by frequent mutations within the B-cell receptor and NF-κB pathways. The lack of <i>PD-L1</i> amplifications, along with membranous PD-L1 expression in 30% of our cohort, suggests that PD-1/PD-L1 inhibitors may be useful in a subset of PCNSL. WES of PCNSL provides insight into the genomic landscape and evolution of this rare lymphoma subtype and potentially informs more rational treatment decisions. </p><p id="d3471725e483"> <div class="fig panel" id="absf1"> <a class="named-anchor" id="absf1"> <!-- named anchor --> </a> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/bf97ff9f-7c22-43ff-8287-753286182517/PubMedCentral/image/advances027672absf1"/> </div> <div class="panel-content"/> </div> </p>

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          Most cited references20

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          Combination nivolumab and ipilimumab or nivolumab alone in melanoma brain metastases: a multicentre randomised phase 2 study

          Nivolumab monotherapy and combination nivolumab plus ipilimumab increase proportions of patients achieving a response and survival versus ipilimumab in patients with metastatic melanoma; however, efficacy in active brain metastases is unknown. We aimed to establish the efficacy and safety of nivolumab alone or in combination with ipilimumab in patients with active melanoma brain metastases.
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            Age, gender, and racial differences in incidence and survival in primary CNS lymphoma

            Background: Primary central nervous system lymphoma (PCNSL) is a rare subtype of extranodal non-Hodgkin lymphoma that accounts for ∼4% of newly diagnosed central nervous system (CNS) tumours. The objective of this study was to analyse the epidemiology, incidence, and outcome of these rare tumours. Methods: Primary brain and CNS lymphoma cases were identified from the Surveillance, Epidemiology, and End Results (SEER) research data sets for the years 1980–2008 for analysis of trends in incidence and survival. SEER*Stat v. 7.0.4 software was used to analyse the data. Results: The overall incidence rate of PCNSL was 0.47 per 100 000 person-years. The incidence was significantly higher in males compared with females, blacks aged 0–49 years at diagnosis compared with whites, and whites aged 50 years and older at diagnosis compared with blacks. After a significant decline in incidence between 1995 and 1999, incidence rates rose slightly; those aged 75+ years at diagnosis had the most dramatic increase in incidence rates over time. Five-year survival rates were significantly higher in whites compared with blacks aged 0–49 years at diagnosis, but was primarily driven by white women aged 0–49 years. Conclusion: There is an increase in incidence of PCNSL in the elderly, and elderly blacks have lower incidence compared with white population. Survival remains poor and is negatively dominated by factors associated with HIV infection and advanced age.
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              ContEst: estimating cross-contamination of human samples in next-generation sequencing data.

              Here, we present ContEst, a tool for estimating the level of cross-individual contamination in next-generation sequencing data. We demonstrate the accuracy of ContEst across a range of contamination levels, sources and read depths using sequencing data mixed in silico at known concentrations. We applied our tool to published cancer sequencing datasets and report their estimated contamination levels. ContEst is a GATK module, and distributed under a BSD style license at http://www.broadinstitute.org/cancer/cga/contest kcibul@broadinstitute.org; gadgetz@broadinstitute.org Supplementary data is available at Bioinformatics online.
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                Author and article information

                Journal
                Blood Advances
                Blood Adv
                American Society of Hematology
                2473-9529
                2473-9537
                February 05 2019
                February 12 2019
                February 05 2019
                February 12 2019
                : 3
                : 3
                : 375-383
                Article
                10.1182/bloodadvances.2018027672
                6373750
                30723112
                33be23b2-1f59-40b3-9c49-7ec5f2ce0bf2
                © 2019
                History

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