1. Breast cancer subtype and clinical characteristics in women from Peru
- Author
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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, and Vidaurre, Tatiana
- Subjects
Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Health Disparities ,Breast Cancer ,Clinical Research ,Women's Health ,Prevention ,Good Health and Well Being ,breast cancer ,genetic ancestry ,Hispanics ,Latinas ,Indigenous American ,tumor subtype ,Hispanics/Latinas ,Clinical sciences ,Oncology and carcinogenesis - Abstract
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=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p
- Published
- 2023