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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/5/1220
id doaj-8a344d3c5b164d3394ed3fec1ce2d10f
record_format Article
spelling 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
work_keys_str_mv AT melissadavis identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT rachelmartini identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT lisanewman identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT olivierelemento identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT jasonwhite identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT akankshaverma identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT indranidatta identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT indraadrianto identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT yaleichen identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT kevingardner identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT hyunggyoonkim identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT windydcolomb identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT isameldineltoum identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT andrarfrost identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT williamegrizzle identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT andreasboner identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT upendermanne identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
AT claytonyates identificationofdistinctheterogenicsubtypesandmolecularsignaturesassociatedwithafricanancestryintriplenegativebreastcancerusingquantifiedgeneticancestrymodelsinadmixedracepopulations
_version_ 1724823952286547968