Breast cancer subtype and clinical characteristics in women from Peru

Frontiers in Oncology

Oncology

Lizeth I. Tamayo¹  Valentina A. Zavala²  Laura Fejerman³  Ruddy Liendo-Picoaga⁴  Julio E. Abugattas⁵  Jose M. Cotrina⁵  Jeannie Navarro-Vásquez⁶  Henry L. Gómez⁷  Carlos A. Castañeda⁷  Hugo A. Fuentes⁷  Jule Vásquez⁷  Zaida Morante⁷  Silvia P. Neciosup⁷  Marco Gálvez-Nino⁷  Guillermo Valencia⁷  Tatiana Vidaurre⁷  Luis Mas⁷  Katia Roque⁷  Mónica Calderón⁷  Sandro Casavilca-Zambrano⁸ 

[1] Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States;Department of Public Health Sciences, University of California, Davis, Davis, CA, United States;Department of Public Health Sciences, University of California, Davis, Davis, CA, United States;University of California Davis Comprehensive Cancer Center, University of California, Davis, Davis, CA, United States;Instituto Nacional de Enfermedades Neoplásicas, Banco de Tumores, Lima, Peru;Instituto Nacional de Enfermedades Neoplásicas, Departamento de Cirugía de Mamas y tumores Blandos, Lima, Peru;Instituto Nacional de Enfermedades Neoplásicas, Departamento de Investigación, Lima, Peru;Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru;Instituto Nacional de Enfermedades Neoplásicas, Departamento de Patología, Lima, Peru;

关键词: breast cancer;    genetic ancestry;    Hispanics/Latinas;    Indigenous American;    tumor subtype;   

DOI  :  10.3389/fonc.2023.938042

 received in 2022-05-06, accepted in 2023-01-30,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionBreast 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.MethodsThe 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.ResultsThe 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).DiscussionThe 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.

【 授权许可】

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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