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      The cell-free DNA methylome captures distinctions between localized and metastatic prostate tumors

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          Abstract

          Metastatic prostate cancer remains a major clinical challenge and metastatic lesions are highly heterogeneous and difficult to biopsy. Liquid biopsy provides opportunities to gain insights into the underlying biology. Here, using the highly sensitive enrichment-based sequencing technology, we provide analysis of 60 and 175 plasma DNA methylomes from patients with localized and metastatic prostate cancer, respectively. We show that the cell-free DNA methylome can capture variations beyond the tumor. A global hypermethylation in metastatic samples is observed, coupled with hypomethylation in the pericentromeric regions. Hypermethylation at the promoter of a glucocorticoid receptor gene NR3C1 is associated with a decreased immune signature. The cell-free DNA methylome is reflective of clinical outcomes and can distinguish different disease types with 0.989 prediction accuracy. Finally, we show the ability of predicting copy number alterations from the data, providing opportunities for joint genetic and epigenetic analysis on limited biological samples.

          Abstract

          Metastatic prostate cancer can be difficult to biopsy and characterise. Here, the authors use cell-free DNA methylation analysis to illustrate changes in hypermethylation in metastatic disease.

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          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
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            Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

            In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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              The Sequence Alignment/Map format and SAMtools

              Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                glji@xmu.edu.cn
                felix.feng@ucsf.edu
                awwyatt@mail.ubc.ca
                Hansenhe@uhnresearch.ca
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                29 October 2022
                29 October 2022
                2022
                : 13
                : 6467
                Affiliations
                [1 ]GRID grid.231844.8, ISNI 0000 0004 0474 0428, Princess Margaret Cancer Center, , University Health Network, ; Toronto, ON Canada
                [2 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Medical Biophysics, , University of Toronto, ; Toronto, ON Canada
                [3 ]GRID grid.13291.38, ISNI 0000 0001 0807 1581, West China School of Public Health, West China Fourth Hospital, and State Key Laboratory of Biotherapy, , Sichuan University, ; Chengdu, China
                [4 ]GRID grid.12955.3a, ISNI 0000 0001 2264 7233, Department of Automation, , Xiamen University, ; Xiamen, Fujian China
                [5 ]GRID grid.12955.3a, ISNI 0000 0001 2264 7233, National Institute for Data Science in Health and Medicine, , Xiamen University, ; Xiamen, Fujian China
                [6 ]GRID grid.449836.4, ISNI 0000 0004 0644 5924, College of Electrical Engineering and Automation, , Xiamen University of Technology, ; Fujian, Xiamen China
                [7 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Radiation Oncology, , University of California, ; San Francisco, CA USA
                [8 ]GRID grid.511215.3, ISNI 0000 0004 0455 2953, UCSF Helen Diller Family Comprehensive Cancer Center, ; San Francisco, CA USA
                [9 ]GRID grid.410697.d, Department of Medical Oncology, , Kinghorn Cancer Centre, St Vincent’s Hospital, ; Sydney, NSW Australia
                [10 ]GRID grid.413104.3, ISNI 0000 0000 9743 1587, Sunnybrook Research Institute, , Sunnybrook Health Sciences Centre, ; Toronto, ON Canada
                [11 ]GRID grid.413104.3, ISNI 0000 0000 9743 1587, Department of Radiation Oncology, , Sunnybrook Odette Cancer Centre, ; Toronto, ON Canada
                [12 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Pharmacology & Toxicology, , University of Toronto, ; Toronto, ON Canada
                [13 ]GRID grid.248762.d, ISNI 0000 0001 0702 3000, British Columbia Cancer Agency, Vancouver Centre, ; Vancouver, BC Canada
                [14 ]GRID grid.419890.d, ISNI 0000 0004 0626 690X, Ontario Institute for Cancer Research, ; Toronto, ON Canada
                [15 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Division of Hematology and Oncology, Department of Medicine, , University of California San Francisco, ; San Francisco, CA USA
                [16 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Urology, , University of California San Francisco, ; San Francisco, CA USA
                [17 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Vancouver Prostate Centre, Department of Urologic Sciences, , University of British Columbia, ; Vancouver, BC Canada
                Author information
                http://orcid.org/0000-0002-1941-3951
                http://orcid.org/0000-0002-7811-2710
                http://orcid.org/0000-0003-0400-3180
                http://orcid.org/0000-0001-7036-2291
                http://orcid.org/0000-0001-6851-0857
                http://orcid.org/0000-0001-8610-4908
                http://orcid.org/0000-0001-8640-5786
                http://orcid.org/0000-0002-8073-5888
                http://orcid.org/0000-0001-5159-4580
                http://orcid.org/0000-0001-9946-6393
                http://orcid.org/0000-0002-0963-7687
                http://orcid.org/0000-0003-2399-0329
                http://orcid.org/0000-0003-2898-3363
                Article
                34012
                10.1038/s41467-022-34012-2
                9617856
                36309516
                90fea8d9-2981-4178-b193-ac225cb87cb4
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 January 2022
                : 7 October 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100009812, Princess Margaret Cancer Foundation (PMCF);
                Award ID: 886012001223
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100007202, Gouvernement du Canada | Instituts de Recherche en Santé du Canada | CIHR Skin Research Training Centre (Skin Research Training Centre);
                Award ID: 142246, 152863, 152864 and 159567
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004376, Terry Fox Research Institute (Institut de Recherche Terry Fox);
                Award ID: 1090
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000109, Prostate Cancer Canada (Cancer de la Prostate Canada);
                Award ID: TAG2018-2061
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                cancer genomics,prostate cancer
                Uncategorized
                cancer genomics, prostate cancer

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