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      Integrative comparison of the genomic and transcriptomic landscape between prostate cancer patients of predominantly African or European genetic ancestry

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          Abstract

          Men of predominantly African Ancestry (AA) have higher prostate cancer (CaP) incidence and worse survival than men of predominantly European Ancestry (EA). While socioeconomic factors drive this disparity, genomic factors may also contribute to differences in the incidence and mortality rates. To compare the prevalence of prostate tumor genomic alterations and transcriptomic profiles by patient genetic ancestry, we evaluated genomic profiles from The Cancer Genome Atlas (TCGA) CaP cohort (n = 498). Patient global and local genetic ancestry were estimated by computational algorithms using genotyping data; 414 (83.1%) were EA, 61 (12.2%) were AA, 11 (2.2%) were East Asian Ancestry (EAA), 10 (2.0%) were Native American (NA), and 2 (0.4%) were other ancestry. Genetic ancestry was highly concordant with self-identified race/ethnicity. Subsequent analyses were limited to 61 AA and 414 EA cases. Significant differences were observed by ancestry in the frequency of SPOP mutations (20.3% AA vs. 10.0% EA; p = 5.6×10 −03), TMPRSS2-ERG fusions (29.3% AA vs. 39.6% EA; p = 4.4×10 −02), and PTEN deletions/losses (11.5% AA vs. 30.2% EA; p = 3.5×10 −03). Differentially expressed genes (DEGs) between AAs and EAs showed significant enrichment for prostate eQTL target genes (p = 8.09×10 −48). Enrichment of highly expressed DEGs for immune-related pathways was observed in AAs, and for PTEN/PI3K signaling in EAs. Nearly one-third of DEGs (31.3%) were long non-coding RNAs (DE-lncRNAs). The proportion of DE-lncRNAs with higher expression in AAs greatly exceeded that with lower expression in AAs (p = 1.2×10 −125). Both ChIP-seq and RNA-seq data suggested a stronger regulatory role for AR signaling pathways in DE-lncRNAs vs. non-DE-lncRNAs. CaP-related oncogenic lncRNAs, such as PVT1, PCAT1 and PCAT10/CTBP1-AS, were found to be more highly expressed in AAs. We report substantial heterogeneity in the prostate tumor genome and transcriptome between EA and AA. These differences may be biological contributors to racial disparities in CaP incidence and outcomes.

          Author summary

          Disparities in cancer defined by self-identified race or ethnicity have been a long-standing and persistent challenge. It is well documented that certain racial and ethnic populations in the US experience higher incidence of specific cancer types, higher incidence of aggressive cancers, and higher mortality. The Cancer Genome Atlas (TCGA) data resource contains multi-omic profiles and clinical annotations of large-scale samples, and therefore serves as an excellent resource for the evaluation of the relationship between genetic ancestry and genomic alterations in cancers. In this study, we performed a cancer type specific analysis of the influence of genetic ancestry on genomic alterations in prostate cancers–a malignancy for which there are some of the largest cancer disparities by race and ethnicity in the US. We found that there is substantial heterogeneity in the genomic alterations and transcriptomic dysregulation occurring in men of African (AA) and European (EA) ancestry in the TCGA prostate cancer cohort. SPOP mutations, TMPRSS2-ERG fusions, PTEN deletions/losses, immune signaling, and expression of non-coding RNAs were identified as potential contributors to prostate cancer racial disparities. Our comprehensive characterization of genetic ancestry and genomic/transcriptomic alterations would provide new insight into the biology of prostate cancer racial disparities in the AA population.

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          Most cited references40

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines

            The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over ten-thousand tumor-normal exome pairs across 33 different cancer types, in total >400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers (MC3) project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our approach accounts for variance and batch effects introduced by the rapid advancement of DNA extraction, hybridization-capture, sequencing, and analysis methods over time. We present best practices for applying an ensemble of seven mutation-calling algorithms with scoring and artifact filtering. The dataset created by this analysis includes 3.5 million somatic variants and forms the basis for PanCan Atlas papers. The results have been made available to the research community along with the methods used to generate them. This project is the result of collaboration from a number of institutes and demonstrates how team science drives extremely large genomics projects. The MC3 project is a variant calling of over 10,000 cancer exome samples from 33 cancer types. Over 3 million somatic variants were detected using 7 different methods developed from institutions across the United States. These variants formed the basis for the PanCan Atlas papers.
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              Disparities by Race, Age, and Sex in the Improvement of Survival for Major Cancers: Results From the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) Program in the United States, 1990 to 2010.

              Substantial progress has been made in cancer diagnosis and treatment, resulting in a steady improvement in cancer survival. The degree of improvement by age, race, and sex remains unclear.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curation
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                14 February 2020
                February 2020
                : 16
                : 2
                : e1008641
                Affiliations
                [1 ] Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [2 ] Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [3 ] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
                [4 ] Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
                [5 ] Department of Internal Medicine, Division of Hematology, Ohio State University, Columbus, Ohio, United States of America
                [6 ] Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [7 ] Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [8 ] Wistar Institute, Philadelphia, Pennsylvania, United States of America
                St Jude Children's Research Hospital, UNITED STATES
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: Drs. Lin Zhang and Xiaowen Hu received research grant from Bristol-Myers Squibb/Celgene. The other authors declare no potential conflicts of interest.

                Author information
                http://orcid.org/0000-0003-2597-2319
                http://orcid.org/0000-0001-7515-7270
                http://orcid.org/0000-0002-5794-3371
                http://orcid.org/0000-0002-7255-2360
                http://orcid.org/0000-0002-4799-1900
                http://orcid.org/0000-0003-1998-0611
                Article
                PGENETICS-D-19-01521
                10.1371/journal.pgen.1008641
                7046294
                32059012
                625c6f52-d403-43ac-961f-f59323ead7b8
                © 2020 Yuan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 September 2019
                : 30 January 2020
                Page count
                Figures: 5, Tables: 0, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000005, U.S. Department of Defense;
                Award ID: PC140683
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01CA190415
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01CA225929
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U01CA184374
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: P20CA233255
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: T32CA009001
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: F32CA243285
                Award Recipient :
                This work was supported, in whole or in part, by the Department of Defense (PC140683 to CVD, LZ and TRR), US National Institutes of Health (R01CA190415 to LZ, R01CA225929 to LZ, U01CA184374 to TRR, P20CA233255 to TRR, T32CA009001 to KHK, F32CA243285 to KHK), the Harry Fields Professorship (LZ), the Ovarian Cancer Research Fund (XH), and the Foundation for Women’s Cancer (XH and YZ). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Human Genetics
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Long non-coding RNAs
                Medicine and Health Sciences
                Oncology
                Basic Cancer Research
                Cancer Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Genomic Medicine
                Cancer Genomics
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Anatomy
                Exocrine Glands
                Prostate Gland
                Medicine and Health Sciences
                Anatomy
                Exocrine Glands
                Prostate Gland
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Genitourinary Tract Tumors
                Prostate Cancer
                Medicine and Health Sciences
                Urology
                Prostate Diseases
                Prostate Cancer
                Biology and Life Sciences
                Computational Biology
                Comparative Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Comparative Genomics
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Transcriptome Analysis
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-02-27
                This study uses genomic profiling data generated by the TCGA project supported by the NCI and NHGRI. Information about TCGA and the TCGA research network can be found at the TCGA project website ( http://cancergenome.nih.gov). The raw profiling data used for the current study are public available through the Genomic Data Commons (GDC) portal ( https://gdc-portal.nci.nih.gov), the TCGA data portal ( https://tcga-data.nci.nih.gov/tcga/), the GDAC Firehose of the Broad Institute ( http://gdac.broadinstitute.org/), the TCGA Multi-Center Mutation Calling in Multiple Cancers (MC3) project ( https://doi.org/10.7303/syn7214402), and TumorFusions data portal ( http://tumorfusions.org/). The raw data generated by this study are public available through the TCGAA Prostate ( http://52.25.87.215/TCGAA/prostate). All other relevant data are within the paper and its Supporting Information files.

                Genetics
                Genetics

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