Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations
Triple negative breast cancers (TNBCs) are molecularly heterogeneous, and the link between their aggressiveness with African ancestry is not established. We investigated primary TNBCs for gene expression among self-reported race (SRR) groups of African American (AA, <i>n</i> = 42) and Eu...
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doaj-8a344d3c5b164d3394ed3fec1ce2d10f2020-11-25T02:31:32ZengMDPI AGCancers2072-66942020-05-01121220122010.3390/cancers12051220Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race PopulationsMelissa Davis0Rachel Martini1Lisa Newman2Olivier Elemento3Jason White4Akanksha Verma5Indrani Datta6Indra Adrianto7Yalei Chen8Kevin Gardner9Hyung-Gyoon Kim10Windy D. Colomb11Isam-Eldin Eltoum12Andra R. Frost13William E. Grizzle14Andrea Sboner15Upender Manne16Clayton Yates17Department of Surgery, Weill Cornell Medicine, New York, NY 10065, USADepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USADepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USADepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USADepartment of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USADepartment of Computational Biology, Weill Cornell Medicine, New York, NY 10065, USADepartment of Public Health Sciences, Henry Ford Health Systems, Detroit, MI 48202, USADepartment of Public Health Sciences, Henry Ford Health Systems, Detroit, MI 48202, USADepartment of Public Health Sciences, Henry Ford Health Systems, Detroit, MI 48202, USADepartment of Pathology and Cell Biology, Columbia University, New York, NY 10027, USADepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USADepartment of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USADepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USADepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USADepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USACaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USADepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USADepartment of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USATriple negative breast cancers (TNBCs) are molecularly heterogeneous, and the link between their aggressiveness with African ancestry is not established. We investigated primary TNBCs for gene expression among self-reported race (SRR) groups of African American (AA, <i>n</i> = 42) and European American (EA, <i>n</i> = 33) women. RNA sequencing data were analyzed to measure changes in genome-wide expression, and we utilized logistic regressions to identify ancestry-associated gene expression signatures. Using SNVs identified from our RNA sequencing data, global ancestry was estimated. We identified 156 African ancestry-associated genes and found that, compared to SRR, quantitative genetic analysis was a more robust method to identify racial/ethnic-specific genes that were differentially expressed. A subset of African ancestry-specific genes that were upregulated in TNBCs of our AA patients were validated in TCGA data. In AA patients, there was a higher incidence of basal-like two tumors and altered TP53, NFB1, and AKT pathways. The distinct distribution of TNBC subtypes and altered oncologic pathways show that the ethnic variations in TNBCs are driven by shared genetic ancestry. Thus, to appreciate the molecular diversity of TNBCs, tumors from patients of various ancestral origins should be evaluated.https://www.mdpi.com/2072-6694/12/5/1220triple negative breast cancerAfrican ancestryRNAseq analysisoncologic pathwaysdisparities |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melissa Davis Rachel Martini Lisa Newman Olivier Elemento Jason White Akanksha Verma Indrani Datta Indra Adrianto Yalei Chen Kevin Gardner Hyung-Gyoon Kim Windy D. Colomb Isam-Eldin Eltoum Andra R. Frost William E. Grizzle Andrea Sboner Upender Manne Clayton Yates |
spellingShingle |
Melissa Davis Rachel Martini Lisa Newman Olivier Elemento Jason White Akanksha Verma Indrani Datta Indra Adrianto Yalei Chen Kevin Gardner Hyung-Gyoon Kim Windy D. Colomb Isam-Eldin Eltoum Andra R. Frost William E. Grizzle Andrea Sboner Upender Manne Clayton Yates Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations Cancers triple negative breast cancer African ancestry RNAseq analysis oncologic pathways disparities |
author_facet |
Melissa Davis Rachel Martini Lisa Newman Olivier Elemento Jason White Akanksha Verma Indrani Datta Indra Adrianto Yalei Chen Kevin Gardner Hyung-Gyoon Kim Windy D. Colomb Isam-Eldin Eltoum Andra R. Frost William E. Grizzle Andrea Sboner Upender Manne Clayton Yates |
author_sort |
Melissa Davis |
title |
Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations |
title_short |
Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations |
title_full |
Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations |
title_fullStr |
Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations |
title_full_unstemmed |
Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations |
title_sort |
identification of distinct heterogenic subtypes and molecular signatures associated with african ancestry in triple negative breast cancer using quantified genetic ancestry models in admixed race populations |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2020-05-01 |
description |
Triple negative breast cancers (TNBCs) are molecularly heterogeneous, and the link between their aggressiveness with African ancestry is not established. We investigated primary TNBCs for gene expression among self-reported race (SRR) groups of African American (AA, <i>n</i> = 42) and European American (EA, <i>n</i> = 33) women. RNA sequencing data were analyzed to measure changes in genome-wide expression, and we utilized logistic regressions to identify ancestry-associated gene expression signatures. Using SNVs identified from our RNA sequencing data, global ancestry was estimated. We identified 156 African ancestry-associated genes and found that, compared to SRR, quantitative genetic analysis was a more robust method to identify racial/ethnic-specific genes that were differentially expressed. A subset of African ancestry-specific genes that were upregulated in TNBCs of our AA patients were validated in TCGA data. In AA patients, there was a higher incidence of basal-like two tumors and altered TP53, NFB1, and AKT pathways. The distinct distribution of TNBC subtypes and altered oncologic pathways show that the ethnic variations in TNBCs are driven by shared genetic ancestry. Thus, to appreciate the molecular diversity of TNBCs, tumors from patients of various ancestral origins should be evaluated. |
topic |
triple negative breast cancer African ancestry RNAseq analysis oncologic pathways disparities |
url |
https://www.mdpi.com/2072-6694/12/5/1220 |
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