Establishment of a Southern Breast Cancer Cohort

Bondurant, Kristina L.; Harvey, Sarah; Klimberg, Suzanne; Kadlubar, Susan; Phillips, Maggie

doi:10.1111/j.1524-4741.2011.01082.x

Cited by 11 publications

(13 citation statements)

References 21 publications

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“…Participants in this study were selected from a cohort of women recruited to study breast cancer in Arkansas [ 26 ]. Accrual began in 2007 and consists of 5,982 African American and 19,831 European American women aged 18 to 100 years who reside in Arkansas.…”

Section: Methodsmentioning

confidence: 99%

Validation of a genetic risk score for Arkansas women of color

et al. 2018

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African American women in the state of Arkansas have high breast cancer mortality rates. Breast cancer risk assessment tools developed for African American underestimate breast cancer risk. Combining African American breast cancer associated single-nucleotide polymorphisms (SNPs) into breast cancer risk algorithms may improve individualized estimates of a woman’s risk of developing breast cancer and enable improved recommendation of screening and chemoprevention for women at high risk. The goal of this study was to confirm with an independent dataset consisting of Arkansas women of color, whether a genetic risk score derived from common breast cancer susceptibility SNPs can be combined with a clinical risk estimate provided by the Breast Cancer Risk Assessment Tool (BCRAT) to produce a more accurate individualized breast cancer risk estimate. A population-based cohort of African American women representative of Arkansas consisted of 319 cases and 559 controls for this study. Five-year and lifetime risks from the BCRAT were measured and combined with a risk score based on 75 independent susceptibility SNPs in African American women. We used the odds ratio (OR) per adjusted standard deviation to evaluate the improvement in risk estimates produced by combining the polygenic risk score (PRS) with 5-year and lifetime risk scores estimated using BCRAT. For 5-year risk OR per standard deviation increased from 1.84 to 2.08 with the addition of the polygenic risk score and from 1.79 to 2.07 for the lifetime risk score. Reclassification analysis indicated that 13% of cases had their 5-year risk increased above the 1.66% guideline threshold (NRI = 0.020 (95% CI -0.040, 0.080)) and 6.3% of cases had their lifetime risk increased above the 20% guideline threshold by the addition of the polygenic risk score (NRI = 0.034 (95% CI 0.000, 0.070)). Our data confirmed that discriminatory accuracy of BCRAT is improved for African American women in Arkansas with the inclusion of specific SNP breast cancer risk alleles.

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Section: Methodsmentioning

confidence: 99%

Validation of a genetic risk score for Arkansas women of color

et al. 2018

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“…SFTC created a biorepository at the University of Arkansas for Medical Sciences of over 26,000 women’s saliva samples that were donated for breast cancer research. Women were recruited between 2007 and 2013 at community events across Arkansas, a state that is 43.8% rural according to census data [ 12 , 13 ], and represent the demographic make-up of the state, with an oversampling of women with a history of breast cancer. The SFTC cohort represents a more diverse population than previously studied; for example, in 2011 the cohort had 15.8% African-American participants which corresponds closely to the 15% African-American population of Arkansas [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…SFTC participants completed a questionnaire including demographics and medical information, such as family history of breast cancer in first-degree relatives, personal history of breast cancer, treatment if the participant had breast cancer, reproductive history, BMI, alcohol consumption, and physical activity [ 12 ]. Approximately 24,700 SFTC participants indicated their willingness to be recontacted about future studies, including 5155 African Americans (20.9%).…”

Section: Introductionmentioning

confidence: 99%

Challenges in recruiting African-American women for a breast cancer genetics study

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Simonson

Gray

et al. 2018

Hered Cancer Clin Pract

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BackgroundAfrican-American women, especially in the southern United States, are underrepresented in cancer genetics research. A study was designed to address this issue by investigating the germline mutation rate in African-American women in Arkansas with a personal and/or family history of breast cancer. Women were tested for these mutations using a large panel of breast cancer susceptibility genes. In this analysis, we discuss the challenges encountered in recruiting African-American women from an existing biorepository to participate in this study.MethodsWe attempted to contact 965 African-American women with a personal and/or family history of breast cancer who participated in Spit for the Cure (SFTC) between 2007 and 2013 and provided consent to be recontacted. The SFTC participants were invited by telephone and email to participate in the genetic study. Enrollment required completion of a phone interview to obtain a family and medical history and return of a signed consent form.ResultsAmong eligible SFTC participants, 39.6% (382/965) were able to be contacted with the phone numbers and email addresses they provided. Of these, 174 (45.5%) completed a phone interview and returned a signed consent form. Others were not able to be contacted (n = 583), declined to participate (n = 57), did not keep phone interview appointments (n = 82), completed the phone interview but never returned a signed consent (n = 54), were deceased (n = 13), or were too confused to consent to participate (n = 2).ConclusionsRecruiting African-American women into our breast cancer genetics study proved challenging primarily due to difficulty establishing contact with potential participants. Given their prior participation in breast cancer research, we anticipated that this would be a highly motivated population. Indeed, when we were able to contact SFTC participants, only 14.9% declined to participate in our study. Innovative communication, retention, and recruitment strategies are needed in future studies to address the recruitment challenges we faced.

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“…Recruitment procedures have been described previously . Women were recruited during community events designed to increase breast cancer awareness.…”

Section: Methodsmentioning

confidence: 99%

Cross-sectional Study to Assess the Association of Population Density with Predicted Breast Cancer Risk

et al. 2014

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The Gail and CARE models estimate breast cancer risk for white and African-American (AA) women, respectively. The aims of this study were to compare metropolitan and nonmetropolitan women with respect to predicted breast cancer risks based on known risk factors, and to determine if population density was an independent risk factor for breast cancer risk. A cross-sectional survey was completed by 15,582 women between 35 and 85 years of age with no history of breast cancer. Metropolitan and nonmetropolitan women were compared with respect to risk factors, and breast cancer risk estimates, using general linear models adjusted for age. For both white and AA women, tisk factors used to estimate breast cancer risk included age at menarche, history of breast biopsies, and family history. For white women, age at first childbirth was an additional risk factor. In comparison to their nonmetropolitan counterparts, metropolitan white women were more likely to report having a breast biopsy, have family history of breast cancer, and delay childbirth. Among white metropolitan and nonmetropolitan women, mean estimated 5-year risks were 1.44% and 1.32% (p < 0.001), and lifetime risks of breast cancer were 10.81% and 10.01% (p < 0.001), respectively. AA metropolitan residents were more likely than those from nonmetropolitan areas to have had a breast biopsy. Among AA metropolitan and nonmetropolitan women, mean estimated 5-year risks were 1.16% and 1.12% (p = 0.039) and lifetime risks were 8.94%, and 8.85% (p = 0.344). Metropolitan residence was associated with higher predicted breast cancer risks for white women. Among AA women, metropolitan residence was associated with a higher predicted breast cancer risk at 5 years, but not over a lifetime. Population density was not an independent risk factor for breast cancer.

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Establishment of a Southern Breast Cancer Cohort

Cited by 11 publications

References 21 publications

Validation of a genetic risk score for Arkansas women of color

Validation of a genetic risk score for Arkansas women of color

Challenges in recruiting African-American women for a breast cancer genetics study

Cross-sectional Study to Assess the Association of Population Density with Predicted Breast Cancer Risk

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