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Breast cancer subtype and clinical characteristics in women from Peru
INTRODUCTION: Breast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation o...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013058/ https://www.ncbi.nlm.nih.gov/pubmed/36925912 http://dx.doi.org/10.3389/fonc.2023.938042 |
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author | Zavala, Valentina A. Casavilca-Zambrano, Sandro Navarro-Vásquez, Jeannie Tamayo, Lizeth I. Castañeda, Carlos A. Valencia, Guillermo Morante, Zaida Calderón, Mónica Abugattas, Julio E. Gómez, Henry L. Fuentes, Hugo A. Liendo-Picoaga, Ruddy Cotrina, Jose M. Neciosup, Silvia P. Roque, Katia Vásquez, Jule Mas, Luis Gálvez-Nino, Marco Fejerman, Laura Vidaurre, Tatiana |
author_facet | Zavala, Valentina A. Casavilca-Zambrano, Sandro Navarro-Vásquez, Jeannie Tamayo, Lizeth I. Castañeda, Carlos A. Valencia, Guillermo Morante, Zaida Calderón, Mónica Abugattas, Julio E. Gómez, Henry L. Fuentes, Hugo A. Liendo-Picoaga, Ruddy Cotrina, Jose M. Neciosup, Silvia P. Roque, Katia Vásquez, Jule Mas, Luis Gálvez-Nino, Marco Fejerman, Laura Vidaurre, Tatiana |
author_sort | Zavala, Valentina A. |
collection | PubMed |
description | INTRODUCTION: Breast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation of Latin American diversity. To address this gap in knowledge, we report a description of demographic, reproductive, and lifestyle breast cancer-associated factors by age at diagnosis and disease subtype for The Peruvian Genetics and Genomics of Breast Cancer (PEGEN-BC) study. METHODS: The PEGEN-BC study is a hospital-based breast cancer cohort that includes 1943 patients diagnosed at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru. Demographic and reproductive information, as well as lifestyle exposures, were collected with a questionnaire. Clinical data, including tumor Hormone Receptor (HR) status and Human Epidermal Growth Factor Receptor 2 (HER2) status, were abstracted from electronic medical records. Differences in proportions and mean values were tested using Chi-squared and one-way ANOVA tests, respectively. Multinomial logistic regression models were used for multivariate association analyses. RESULTS: The distribution of subtypes was 52% HR+HER2-, 19% HR+HER2+, 16% HR-HER2-, and 13% HR-HER2+. Indigenous American (IA) genetic ancestry was higher, and height was lower among individuals with the HR-HER2+ subtype (80% IA vs. 76% overall, p=0.007; 152 cm vs. 153 cm overall, p=0.032, respectively). In multivariate models, IA ancestry was associated with HR-HER2+ subtype (OR=1.38,95%CI=1.06-1.79, p=0.017) and parous women showed increased risk for HR-HER2+ (OR=2.7,95%CI=1.5-4.8, p<0.001) and HR-HER2- tumors (OR=2.4,95%CI=1.5-4.0, p<0.001) compared to nulliparous women. Multiple patient and tumor characteristics differed by age at diagnosis (<50 vs. >=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p<0.02 for all variables). DISCUSSION: The characteristics of the PEGEN-BC study participants do not suggest heterogeneity by tumor subtype except for IA genetic ancestry proportion, which has been previously reported. Differences by age at diagnosis were apparent and concordant with what is known about pre- and post-menopausal-specific disease risk factors. Additional studies in Peru should be developed to further understand the main contributors to the specific age of onset and molecular disease subtypes in this population and develop population-appropriate predictive models for prevention. |
format | Online Article Text |
id | pubmed-10013058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100130582023-03-15 Breast cancer subtype and clinical characteristics in women from Peru Zavala, Valentina A. Casavilca-Zambrano, Sandro Navarro-Vásquez, Jeannie Tamayo, Lizeth I. Castañeda, Carlos A. Valencia, Guillermo Morante, Zaida Calderón, Mónica Abugattas, Julio E. Gómez, Henry L. Fuentes, Hugo A. Liendo-Picoaga, Ruddy Cotrina, Jose M. Neciosup, Silvia P. Roque, Katia Vásquez, Jule Mas, Luis Gálvez-Nino, Marco Fejerman, Laura Vidaurre, Tatiana Front Oncol Oncology INTRODUCTION: Breast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation of Latin American diversity. To address this gap in knowledge, we report a description of demographic, reproductive, and lifestyle breast cancer-associated factors by age at diagnosis and disease subtype for The Peruvian Genetics and Genomics of Breast Cancer (PEGEN-BC) study. METHODS: The PEGEN-BC study is a hospital-based breast cancer cohort that includes 1943 patients diagnosed at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru. Demographic and reproductive information, as well as lifestyle exposures, were collected with a questionnaire. Clinical data, including tumor Hormone Receptor (HR) status and Human Epidermal Growth Factor Receptor 2 (HER2) status, were abstracted from electronic medical records. Differences in proportions and mean values were tested using Chi-squared and one-way ANOVA tests, respectively. Multinomial logistic regression models were used for multivariate association analyses. RESULTS: The distribution of subtypes was 52% HR+HER2-, 19% HR+HER2+, 16% HR-HER2-, and 13% HR-HER2+. Indigenous American (IA) genetic ancestry was higher, and height was lower among individuals with the HR-HER2+ subtype (80% IA vs. 76% overall, p=0.007; 152 cm vs. 153 cm overall, p=0.032, respectively). In multivariate models, IA ancestry was associated with HR-HER2+ subtype (OR=1.38,95%CI=1.06-1.79, p=0.017) and parous women showed increased risk for HR-HER2+ (OR=2.7,95%CI=1.5-4.8, p<0.001) and HR-HER2- tumors (OR=2.4,95%CI=1.5-4.0, p<0.001) compared to nulliparous women. Multiple patient and tumor characteristics differed by age at diagnosis (<50 vs. >=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p<0.02 for all variables). DISCUSSION: The characteristics of the PEGEN-BC study participants do not suggest heterogeneity by tumor subtype except for IA genetic ancestry proportion, which has been previously reported. Differences by age at diagnosis were apparent and concordant with what is known about pre- and post-menopausal-specific disease risk factors. Additional studies in Peru should be developed to further understand the main contributors to the specific age of onset and molecular disease subtypes in this population and develop population-appropriate predictive models for prevention. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC10013058/ /pubmed/36925912 http://dx.doi.org/10.3389/fonc.2023.938042 Text en Copyright © 2023 Zavala, Casavilca-Zambrano, Navarro-Vásquez, Tamayo, Castañeda, Valencia, Morante, Calderón, Abugattas, Gómez, Fuentes, Liendo-Picoaga, Cotrina, Neciosup, Roque, Vásquez, Mas, Gálvez-Nino, Fejerman and Vidaurre https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zavala, Valentina A. Casavilca-Zambrano, Sandro Navarro-Vásquez, Jeannie Tamayo, Lizeth I. Castañeda, Carlos A. Valencia, Guillermo Morante, Zaida Calderón, Mónica Abugattas, Julio E. Gómez, Henry L. Fuentes, Hugo A. Liendo-Picoaga, Ruddy Cotrina, Jose M. Neciosup, Silvia P. Roque, Katia Vásquez, Jule Mas, Luis Gálvez-Nino, Marco Fejerman, Laura Vidaurre, Tatiana Breast cancer subtype and clinical characteristics in women from Peru |
title | Breast cancer subtype and clinical characteristics in women from Peru |
title_full | Breast cancer subtype and clinical characteristics in women from Peru |
title_fullStr | Breast cancer subtype and clinical characteristics in women from Peru |
title_full_unstemmed | Breast cancer subtype and clinical characteristics in women from Peru |
title_short | Breast cancer subtype and clinical characteristics in women from Peru |
title_sort | breast cancer subtype and clinical characteristics in women from peru |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013058/ https://www.ncbi.nlm.nih.gov/pubmed/36925912 http://dx.doi.org/10.3389/fonc.2023.938042 |
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