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      African Ancestry–Associated Gene Expression Profiles in Triple-Negative Breast Cancer Underlie Altered Tumor Biology and Clinical Outcome in Women of African Descent

      research-article
      1 , 2 , 3 , 4 , 4 , 1 , 2 , 3 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 14 , 15 , 10 , 15 , 15 , 16 , 13 , 17 , 18 , 18 , 8 , 18 , 18 , 1 , 1 , 19 , 19 , 20 , 6 , 7 , 21 , 22 , 23 , 24 , 25 , 26 , 26 , 26 , 3 , 27 , 4 , 26 , 19 , 1 , 1 , 2 , 3 , 4 , 8 , * ,
      Cancer Discovery
      American Association for Cancer Research

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          Abstract

          Gene expression profiles in patients of African ancestry with triple-negative breast cancer indicate differences in normal breast tissue as well as in the tumor-associated immunologic profiles, supporting the potential differences in clinical outcomes between race groups.

          Abstract

          Women of sub-Saharan African descent have disproportionately higher incidence of triple-negative breast cancer (TNBC) and TNBC-specific mortality across all populations. Population studies show racial differences in TNBC biology, including higher prevalence of basal-like and quadruple-negative subtypes in African Americans (AA). However, previous investigations relied on self-reported race (SRR) of primarily U.S. populations. Due to heterogeneous genetic admixture and biological consequences of social determinants, the true association of African ancestry with TNBC biology is unclear. To address this, we conducted RNA sequencing on an international cohort of AAs, as well as West and East Africans with TNBC. Using comprehensive genetic ancestry estimation in this African-enriched cohort, we found expression of 613 genes associated with African ancestry and 2,000+ associated with regional African ancestry. A subset of African-associated genes also showed differences in normal breast tissue. Pathway enrichment and deconvolution of tumor cellular composition revealed that tumor-associated immunologic profiles are distinct in patients of African descent.

          Significance:

          Our comprehensive ancestry quantification process revealed that ancestry-associated gene expression profiles in TNBC include population-level distinctions in immunologic landscapes. These differences may explain some differences in race–group clinical outcomes. This study shows the first definitive link between African ancestry and the TNBC immunologic landscape, from an African-enriched international multiethnic cohort.

          See related commentary by Hamilton et al., p. 2496.

          This article is highlighted in the In This Issue feature, p. 2483

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          Most cited references59

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            PLINK: a tool set for whole-genome association and population-based linkage analyses.

            Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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              A global reference for human genetic variation

              The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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                Author and article information

                Journal
                Cancer Discov
                Cancer Discov
                Cancer Discovery
                American Association for Cancer Research
                2159-8274
                2159-8290
                02 November 2022
                19 September 2022
                : 12
                : 11
                : 2530-2551
                Affiliations
                [1 ]Department of Surgery, Weill Cornell Medical College, New York, New York.
                [2 ]Department of Genetics, University of Georgia, Athens, Georgia.
                [3 ]Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, New York.
                [4 ]New York Genome Center, New York, New York.
                [5 ]Department of Biomedical Sciences, Tuskegee University, Tuskegee, Alabama.
                [6 ]Department of Biology, Tuskegee University, Tuskegee, Alabama.
                [7 ]Center for Cancer Research, Tuskegee University, Tuskegee, Alabama.
                [8 ]Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
                [9 ]Department of Biochemistry, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
                [10 ]Department of Surgery, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
                [11 ]Department of Pathology, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
                [12 ]Department of Pathology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
                [13 ]Directorate of Oncology, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
                [14 ]Department of Surgery, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
                [15 ]Department of Surgery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
                [16 ]Directorate of Radiology, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
                [17 ]Department of Pathology, Henry Ford Health System, Detroit, Michigan.
                [18 ]Department of Surgery, Henry Ford Health System, Detroit, Michigan.
                [19 ]Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
                [20 ]Department of Population Sciences, City of Hope, Duarte, California.
                [21 ]Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama.
                [22 ]O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.
                [23 ]Department of Pathology and Cell Biology, Columbia University, New York, New York.
                [24 ]Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
                [25 ]Department of Pharmacology, Weill Cornell Medical College, New York, New York.
                [26 ]Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York.
                [27 ]Institute of Computational Biomedicine, Weill Cornell Medical College, New York, New York.
                Author notes
                [* ] Corresponding Author: Melissa B. Davis, Department of Surgery, Weill Cornell Medical College, 420 E. 70th Street, New York, NY 10021. Phone: 646-962-2855; Fax: 646-962-0023; E-mail: mbd4001@ 123456med.cornell.edu

                Cancer Discov 2022;12:2530–51

                Author information
                https://orcid.org/0000-0002-8921-0041
                https://orcid.org/0000-0001-6018-7979
                https://orcid.org/0000-0002-9724-9739
                https://orcid.org/0000-0001-9537-8708
                https://orcid.org/0000-0002-6133-1757
                https://orcid.org/0000-0001-6121-801X
                https://orcid.org/0000-0003-4403-2680
                https://orcid.org/0000-0002-0782-2539
                https://orcid.org/0000-0002-4141-8783
                https://orcid.org/0000-0002-1240-3515
                https://orcid.org/0000-0002-5898-1337
                https://orcid.org/0000-0003-2455-2734
                https://orcid.org/0000-0002-4004-3334
                https://orcid.org/0000-0002-2371-1695
                https://orcid.org/0000-0003-0916-9008
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                https://orcid.org/0000-0002-8419-8637
                https://orcid.org/0000-0001-9495-6887
                https://orcid.org/0000-0003-0896-3189
                https://orcid.org/0000-0003-1290-8406
                https://orcid.org/0000-0002-3657-3519
                https://orcid.org/0000-0002-4421-6431
                https://orcid.org/0000-0002-4082-8465
                https://orcid.org/0000-0002-5254-9789
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                https://orcid.org/0000-0002-1545-3032
                https://orcid.org/0000-0001-8018-4353
                https://orcid.org/0000-0001-5438-1126
                https://orcid.org/0000-0002-0099-9438
                https://orcid.org/0000-0002-5107-5411
                https://orcid.org/0000-0002-1478-5115
                https://orcid.org/0000-0002-8061-9617
                https://orcid.org/0000-0001-5698-8183
                https://orcid.org/0000-0001-6915-3070
                https://orcid.org/0000-0002-6862-2821
                https://orcid.org/0000-0003-2059-0477
                https://orcid.org/0000-0002-6124-6923
                Article
                CD-22-0138
                10.1158/2159-8290.CD-22-0138
                9627137
                36121736
                823ede1f-e701-46af-8a5a-a2f3140d2c13
                ©2022 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 03 February 2022
                : 17 June 2022
                : 23 August 2022
                Page count
                Pages: 22
                Funding
                Funded by: Susan G. Komen (SGK), https://doi.org/10.13039/100009634;
                Award Recipient :
                Funded by: National Cancer Institute (NCI), https://doi.org/10.13039/100000054;
                Award ID: R01 CA259396-01
                Award Recipient :
                Funded by: National Institute on Minority Health and Health Disparities (NIMHD), https://doi.org/10.13039/100006545;
                Award ID: U54-MD007585-26
                Award Recipient :
                Funded by: National Cancer Institute (NCI), https://doi.org/10.13039/100000054;
                Award ID: U54 CA118623
                Award Recipient :
                Funded by: U.S. Department of Defense (DOD), https://doi.org/10.13039/100000005;
                Award ID: PC170315P1
                Award ID: W81XWH-18-1-0589
                Award Recipient :
                Funded by: National Cancer Institute (NCI), https://doi.org/10.13039/100000054;
                Award ID: 5U54CA118948
                Award Recipient :
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