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Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry

Breast cancer largely dominates the global cancer burden statistics; however, there are striking disparities in mortality rates across countries. While socioeconomic factors contribute to population-based differences in mortality, they do not fully explain disparity among women of African ancestry (...

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Autores principales: Roelands, Jessica, Mall, Raghvendra, Almeer, Hossam, Thomas, Remy, Mohamed, Mahmoud G., Bedri, Shahinaz, Al-Bader, Salha Bujassoum, Junejo, Kulsoom, Ziv, Elad, Sayaman, Rosalyn W., Kuppen, Peter J. K., Bedognetti, Davide, Hendrickx, Wouter, Decock, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870839/
https://www.ncbi.nlm.nih.gov/pubmed/33558495
http://dx.doi.org/10.1038/s41523-021-00215-x
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author Roelands, Jessica
Mall, Raghvendra
Almeer, Hossam
Thomas, Remy
Mohamed, Mahmoud G.
Bedri, Shahinaz
Al-Bader, Salha Bujassoum
Junejo, Kulsoom
Ziv, Elad
Sayaman, Rosalyn W.
Kuppen, Peter J. K.
Bedognetti, Davide
Hendrickx, Wouter
Decock, Julie
author_facet Roelands, Jessica
Mall, Raghvendra
Almeer, Hossam
Thomas, Remy
Mohamed, Mahmoud G.
Bedri, Shahinaz
Al-Bader, Salha Bujassoum
Junejo, Kulsoom
Ziv, Elad
Sayaman, Rosalyn W.
Kuppen, Peter J. K.
Bedognetti, Davide
Hendrickx, Wouter
Decock, Julie
author_sort Roelands, Jessica
collection PubMed
description Breast cancer largely dominates the global cancer burden statistics; however, there are striking disparities in mortality rates across countries. While socioeconomic factors contribute to population-based differences in mortality, they do not fully explain disparity among women of African ancestry (AA) and Arab ancestry (ArA) compared to women of European ancestry (EA). In this study, we sought to identify molecular differences that could provide insight into the biology of ancestry-associated disparities in clinical outcomes. We applied a unique approach that combines the use of curated survival data from The Cancer Genome Atlas (TCGA) Pan-Cancer clinical data resource, improved single-nucleotide polymorphism-based inferred ancestry assignment, and a novel breast cancer subtype classification to interrogate the TCGA and a local Arab breast cancer dataset. We observed an enrichment of BasalMyo tumors in AA patients (38 vs 16.5% in EA, p = 1.30E − 10), associated with a significant worse overall (hazard ratio (HR) = 2.39, p = 0.02) and disease-specific survival (HR = 2.57, p = 0.03). Gene set enrichment analysis of BasalMyo AA and EA samples revealed differences in the abundance of T-regulatory and T-helper type 2 cells, and enrichment of cancer-related pathways with prognostic implications (AA: PI3K-Akt-mTOR and ErbB signaling; EA: EGF, estrogen-dependent and DNA repair signaling). Strikingly, AMPK signaling was associated with opposing prognostic connotation (AA: 10-year HR = 2.79, EA: 10-year HR = 0.34). Analysis of ArA patients suggests enrichment of BasalMyo tumors with a trend for differential enrichment of T-regulatory cells and AMPK signaling. Together, our findings suggest that the disparity in the clinical outcome of AA breast cancer patients is likely related to differences in cancer-related and microenvironmental features.
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spelling pubmed-78708392021-02-11 Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry Roelands, Jessica Mall, Raghvendra Almeer, Hossam Thomas, Remy Mohamed, Mahmoud G. Bedri, Shahinaz Al-Bader, Salha Bujassoum Junejo, Kulsoom Ziv, Elad Sayaman, Rosalyn W. Kuppen, Peter J. K. Bedognetti, Davide Hendrickx, Wouter Decock, Julie NPJ Breast Cancer Article Breast cancer largely dominates the global cancer burden statistics; however, there are striking disparities in mortality rates across countries. While socioeconomic factors contribute to population-based differences in mortality, they do not fully explain disparity among women of African ancestry (AA) and Arab ancestry (ArA) compared to women of European ancestry (EA). In this study, we sought to identify molecular differences that could provide insight into the biology of ancestry-associated disparities in clinical outcomes. We applied a unique approach that combines the use of curated survival data from The Cancer Genome Atlas (TCGA) Pan-Cancer clinical data resource, improved single-nucleotide polymorphism-based inferred ancestry assignment, and a novel breast cancer subtype classification to interrogate the TCGA and a local Arab breast cancer dataset. We observed an enrichment of BasalMyo tumors in AA patients (38 vs 16.5% in EA, p = 1.30E − 10), associated with a significant worse overall (hazard ratio (HR) = 2.39, p = 0.02) and disease-specific survival (HR = 2.57, p = 0.03). Gene set enrichment analysis of BasalMyo AA and EA samples revealed differences in the abundance of T-regulatory and T-helper type 2 cells, and enrichment of cancer-related pathways with prognostic implications (AA: PI3K-Akt-mTOR and ErbB signaling; EA: EGF, estrogen-dependent and DNA repair signaling). Strikingly, AMPK signaling was associated with opposing prognostic connotation (AA: 10-year HR = 2.79, EA: 10-year HR = 0.34). Analysis of ArA patients suggests enrichment of BasalMyo tumors with a trend for differential enrichment of T-regulatory cells and AMPK signaling. Together, our findings suggest that the disparity in the clinical outcome of AA breast cancer patients is likely related to differences in cancer-related and microenvironmental features. Nature Publishing Group UK 2021-02-08 /pmc/articles/PMC7870839/ /pubmed/33558495 http://dx.doi.org/10.1038/s41523-021-00215-x Text en © The Author(s) 2021 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/.
spellingShingle Article
Roelands, Jessica
Mall, Raghvendra
Almeer, Hossam
Thomas, Remy
Mohamed, Mahmoud G.
Bedri, Shahinaz
Al-Bader, Salha Bujassoum
Junejo, Kulsoom
Ziv, Elad
Sayaman, Rosalyn W.
Kuppen, Peter J. K.
Bedognetti, Davide
Hendrickx, Wouter
Decock, Julie
Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title_full Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title_fullStr Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title_full_unstemmed Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title_short Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
title_sort ancestry-associated transcriptomic profiles of breast cancer in patients of african, arab, and european ancestry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870839/
https://www.ncbi.nlm.nih.gov/pubmed/33558495
http://dx.doi.org/10.1038/s41523-021-00215-x
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