17 research outputs found

    Pan-cancer analysis of whole genomes

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    Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    Влияние сердечно-легочной реанимации с поддержкой диспетчером скорой медицинской помощи на восстановление эффективного кровообращения и краткосрочную выживаемость

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    The Aim: analysis of the influence of dispatcher assistance during cardiopulmonary resuscitation (CPR) of patients with out-of-hospital cardiac arrest (OHCA) in achieving return of spontaneous circulation (ROSC), better survival at the scene, survival to discharge, and 30-day survival.Materials and methods. This study includes epidemiological data on OHCA collected by the study protocol of the European Resuscitation Council's EuReCa_ONE study during the period October 1, 2014 — December 31, 2019. Statistical analysis was performed using SPSS Statistics v26 and GraphPad Prism v8 software packages.Results. This study included 288 patients with OHCA where CPR was provided by bystander. Dispatcher-assisted CPR (DA-CPR) occurred in 56.9% of those patients and ROSC was achieved in 31.3% of cases. Forty-four patients were hospitalized and 16 of those survived until discharge. There was no influence of dispatcher assistance on ROSC, although it resulted in slightly greater risk of the absence of ROSC (OR=1.063). Higher mortality rate to discharge occurred in DA-CPR group (P=0.013). No statistical significance was observed between DA-CPR and non-DA-CPR groups in terms of death at the scene, and 30-day survival. Dispatcher assistance during the initial CPR in hospitalized OHCA patients was a significant predictor of death outcome during hospitalization (P=0.017, OR=5.500).Conclusions. There is no significant association between the presence/absence of dispatcher assistance and ROSC or 30-day survival rate. In contrast, DA-CPR was non-significantly associated with slightly higher odds for the absence of ROSC. DA-CPR was also associated with lower survival-to-discharge rates in hospitalized OHCA patients. The study findings are the base/ground which highlights the need of implementation of existing and development of new guidelines regarding high-quality professional training of EMS dispatchers as well as basic life support education of general population.Цель: анализ влияния помощи диспетчера во время сердечно-легочной реанимации (СЛР) пациентов с внебольничной остановкой сердца (ВБОС) на восстановление эффективного кровообращения (ВЭК), улучшение выживаемости на месте произошедшей остановки кровообращения, выживаемость до выписки и выживаемость в течение 30 дней.Материалы и методы. Данное исследование включило эпидемиологические данные по ВБОС, собранные в соответствии с протоколом исследования Европейского совета по реанимации EuReCa_ONE в период с 1 октября 2014 года по 31 декабря 2019 года. Статистический анализ проводили с использованием программных пакетов SPSS Statistics v26 и GraphPad Prism v8.Результаты. В исследование включили 288 пациентов с ВБОС, у которых сердечно-легочная реанимация была проведена случайным очевидцем. СЛР с помощью диспетчера (СЛРПД) была проведена у 56,9% пациентов, а ВЭК было достигнуто в 31,3% случаев. Сорок четыре пациента были госпитализированы, и 16 из них были живы к моменту выписки. Помощь диспетчера не повлияла на ВЭК, хотя и привела к несколько большему риску отсутствия ВЭК (OR=1,063). Более высокую смертность в период до выписки наблюдали в группе СЛРПД (p=0,013). Различия между группами СЛРПД и СЛР без ПД по смертности на месте остановки кровообращения и 30-дневной выживаемости были незначимы. Помощь диспетчера во время базовых реанимационных мероприятий у госпитализированных впоследствии пациентов с ВБОС оказалась значимым предиктором смертельного исхода в течении периода госпитализации (p=0,017, ОШ 5,500).Заключение. Связь между наличием/отсутствием помощи диспетчера и ВЭК или 30-дневной выживаемостью отсутствует. СЛРПД незначимо ассоциируется с более высокими шансами на отсутствие восстановления кровообращения. СЛРПД также была связана с более низкими показателями выживаемости до выписки у госпитализированных пациентов с ВБОС. Результаты исследования являются основанием для внедрения существующих и разработки новых рекомендаций по высококачественной профессиональной подготовке диспетчеров СМП, а также по обучению населения оказанию базовых реанимационных мероприятий.

    Sex differences in oncogenic mutational processes

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    Sex differences have been observed in multiple facets of cancer epidemiology, treatment and biology, and in most cancers outside the sex organs. Efforts to link these clinical differences to specific molecular features have focused on somatic mutations within the coding regions of the genome. Here we report a pan-cancer analysis of sex differences in whole genomes of 1983 tumours of 28 subtypes as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. We both confirm the results of exome studies, and also uncover previously undescribed sex differences. These include sex-biases in coding and non-coding cancer drivers, mutation prevalence and strikingly, in mutational signatures related to underlying mutational processes. These results underline the pervasiveness of molecular sex differences and strengthen the call for increased consideration of sex in molecular cancer research.Sex differences have been observed in multiple facets of cancer epidemiology, treatment and biology, and in most cancers outside the sex organs. Efforts to link these clinical differences to specific molecular features have focused on somatic mutations within the coding regions of the genome. Here we report a pan-cancer analysis of sex differences in whole genomes of 1983 tumours of 28 subtypes as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. We both confirm the results of exome studies, and also uncover previously undescribed sex differences. These include sex-biases in coding and non-coding cancer drivers, mutation prevalence and strikingly, in mutational signatures related to underlying mutational processes. These results underline the pervasiveness of molecular sex differences and strengthen the call for increased consideration of sex in molecular cancer research.Peer reviewe

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that -80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAFPeer reviewe

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

    No full text
    The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

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    Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer types have suggested that chromothripsis may be more common than initially inferred from low-resolution copy-number data. Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we analyze patterns of chromothripsis across 2,658 tumors from 38 cancer types using whole-genome sequencing data. We find that chromothripsis events are pervasive across cancers, with a frequency of more than 50% in several cancer types. Whereas canonical chromothripsis profiles display oscillations between two copy-number states, a considerable fraction of events involve multiple chromosomes and additional structural alterations. In addition to non-homologous end joining, we detect signatures of replication-associated processes and templated insertions. Chromothripsis contributes to oncogene amplification and to inactivation of genes such as mismatch-repair-related genes. These findings show that chromothripsis is a major process that drives genome evolution in human cancer
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