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  • American Association for Cancer Research (AACR)  (4)
  • Ambrosone, Christine B.  (4)
  • Troester, Melissa A.  (4)
Materialart
Verlag/Herausgeber
  • American Association for Cancer Research (AACR)  (4)
Sprache
Erscheinungszeitraum
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  • 1
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 25, No. 3_Supplement ( 2016-03-01), p. C49-C49
    Kurzfassung: Introduction: Family history of breast cancer has been shown to be a strong risk factor for breast cancer in all populations studied. However, there are limited data related to risk of estrogen receptor negative (ER-) breast cancer in African American women, who have a disproportionately high incidence of ER- and triple negative (ER-, progesterone receptor negative, and HER2 receptor negative; TN) breast cancer. Even less information is available on whether a family history of other cancers also affects risk of ER- and TN breast cancer. Methods: Questionnaire data from the Black Women's Health Study, the Carolina Breast Cancer Study, the Multiethnic Cohort Study, and the Women's Circle of Health Study were pooled as part of the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium. Breast cancer cases were classified as ER+, ER-, and TN based on pathology data from medical records and/or state cancer registries. Participants were asked about first degree relatives with a breast cancer diagnosis and the age at which the relative was diagnosed. Participants were also asked about first degree relatives with prostate, lung, colorectal, ovarian, or cervical cancer or with lymphoma or leukemia. Polytomous logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for various categories of positive family history relative to no first degree relative with breast cancer or no first degree relative with any of the cancers. Multivariable analyses controlled for age, study, time period, and other potential confounders. Results: The analysis included 3,023 African American women with ER+, 1,497 with ER-, and 696 with TN breast cancer and 17,420 controls. First degree family history of breast cancer, regardless of whether first degree relatives had cancers other than breast cancer, was associated with a 70% increased risk of ER+, ER- and TN breast cancer; the ORs were 1.7 (95% CI 1.6-2.0) for ER+, 1.7 (95% CI 1.4-1.9) for ER-, and 1.7 (95% CI 1.4-2.1) for TN breast cancer. The ORs were somewhat higher if the relative was diagnosed before age 50 (2.0 for ER+, 1.9 for ER-, and 1.8 for TN). Among the six other cancer sites examined, only family history of cervical cancer was significantly associated with risk; the ORs were 2.4 (1.4-4.2) for ER- and 2.9 (1.5-5.5) for TN breast cancer and there was no association with ER+ breast cancer. The OR for family history of ovarian cancer in relation to TN breast cancer was 1.6 (0.9-2.7), which is of interest because findings from The Cancer Genome Atlas (TCGA) indicate that serous ovarian cancers and basal-like breast cancers, which are mostly triple negative, have many molecular commonalities. The ORs for a family history of both breast and prostate cancer versus no family history of any of the cancers were 3.4 (2.4-4.7) for ER+ cancer, as compared with 1.6 for breast alone (p-interaction=0.01), and 2.1 (1.2-3.7) for ER- cancer, as compared with 1.5 for breast alone (p-interaction=0.08). The OR for a family history of both breast and lung cancer was 3.3 (1.9-5.9) for TN breast cancer, compared to 1.5 for breast alone (p-interaction=0.10). The ORs for family history of breast plus two other cancers were 2.4 (1.6-3.6) for ER+, 2.8 (1.6-4.7) for ER-, and 2.7 (1.3-5.7) for TN breast cancer. Conclusion: Our results confirm that having a first degree family history of breast cancer is a strong risk factor for ER+, ER-, and TN breast cancer. The findings also suggest that having relatives with other cancers in addition to a relative with breast cancer may further increase risk. Consideration of family history of other cancers may improve risk prediction models. The association observed for family history of cervical cancer and increased risk of ER- and TN breast cancer was unexpected and needs to be replicated by other studies. Citation Format: Traci N. Bethea, Lynn Rosenberg, Nelsy Castro-Webb, Kathryn L. Lunetta, Lara E. Sucheston, Edward A. Ruiz-Narvaez, Marjory Charlot, Song Y. Park, Elisa V. Bandera, Melissa A. Troester, Christine B. Ambrosone, Julie R. Palmer. Relation of family history of cancer to risk of ER+, ER-, and triple-negative breast cancer in African American women. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr C49.
    Materialart: Online-Ressource
    ISSN: 1055-9965 , 1538-7755
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2016
    ZDB Id: 2036781-8
    ZDB Id: 1153420-5
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 28-28
    Kurzfassung: Background: To date, most genome-wide association studies (GWAS) of breast cancer have been conducted only among women of Asian and European ancestry. It is difficult to generalize results from those studies to women of African ancestry (AA). We conducted a large genetic association study of breast cancer in women of AA by analyzing both genetic and transcriptomic data. Methods: This collaborative study included 11,073 cases and 11,095 controls of AA who were participants in more than 15 studies conducted in the U.S. and Africa. Genotyping data were harmonized and imputed using the 1000 Genomes Project database as the reference. Imputed genotypes were used for GWAS to identify novel genetic risk loci for breast cancer. To search for susceptibility genes, we conducted a transcriptome-wide association study (TWAS), in which gene expression prediction models were built using genetic and tumor tissue RNA sequencing data from ~400 AA patients and used to impute expression levels of genes across the transcriptome for association analyses in all cases and controls included in the GWAS mentioned above. Results: We identified five loci (5p15.33, 5q31.3, 10q26.13, 18q12.1, and 19p13.11) associated with breast cancer risk at P & lt; 5 × 10−8, including a novel locus at 5q31.3 (allelic odds ratio, OR = 1.18, 95% CI = 1.11-1.25, P = 4.65 × 10−8, nearby gene, ARHGAP26). This locus was also identified in association with estrogen receptor (ER) positive breast cancer at P & lt; 5 × 10−8. Analyses stratified by ER status replicated known loci associated specifically with ER-positive (10q26.13) or ER-negative (2q14.2, 2p11.2, 5p15.33) breast cancer at P & lt; 5 × 10−8. Of the 165 lead risk SNPs reported from previous breast cancer GWAS, 35 SNPs were replicated with the same association direction at P & lt; 0.05. We constructed a polygenic risk score using these 35 replicated SNPs and the lead risk SNP at the novel locus and estimated the AUC to be 0.575. Of the 7,592 genes tested in the TWAS, we identified one gene, AC091053.1, with an association at a Bonferroni-corrected threshold of 6.64 × 10−6 (0.05/7,592). AC091053.1 is a long non-coding RNA gene at locus 11p15.4, where no risk variants have been identified in any previous breast cancer GWAS. AC091053.1 is located in the region of protein coding gene DENND2B, which acts as a regulator of MAPK1/ERK2 kinase and reduces the tumorigenic phenotype in cells. The gene AC091053.1 was associated with ER-positive breast cancer with P = 4.11 × 10−5 and ER-negative breast cancer with P = 0.032. Conclusions: Our study, the largest genetic study conducted to date in AA, identified novel breast cancer risk loci at 5q31.3 and 11p15.4 (AC091053.1) among women of AA and replicated & gt;30 associations reported in previous studies. Studies with a larger sample size are needed to further investigate genetic variants and genes associated with breast cancer risk in AA women. Citation Format: Guochong Jia, Jie Ping, Yaohua Yang, Maureen Sanderson, Qiuyin Cai, Xingyi Guo, William J. Blot, Bingshan Li, Elisa V. Bandera, Manjeet K. Bolla, Montserrat García-Closas, Douglas F. Easton, Mary K. Fadden, Jian Gu, Dezheng Huo, Esther M. John, Kathryn L. Lunetta, Olufunmilayo I. Olopade, Xiang Shu, Melissa A. Troester, Song Yao, Breast Cancer Association Consortium, Andrew F. Olshan, Christine B. Ambrosone, Christopher A. Haiman, Jirong Long, Julie R. Palmer, Wei Zheng. Integrating genomic and transcriptomic data to identify genetic loci associated with breast cancer risk in women of African ancestry [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 28.
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2020
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 26, No. 5 ( 2017-05-01), p. 787-794
    Kurzfassung: Background: Alcohol is a recognized risk factor for invasive breast cancer, but few studies involve African American women. Methods: The current analysis included 22,338 women (5,108 cases of invasive breast cancer) from the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium. The association between number of alcoholic drinks per week (dpw) and breast cancer was estimated using logistic regression, adjusting for potential confounders, and stratifying by breast cancer subtype. Results: Approximately 35% of controls were current drinkers at interview. Women who reported current drinking of ≥14 dpw had an elevated risk of breast cancer compared with light drinkers ( & gt;0– & lt;4 dpw) [adjusted OR (ORadj), 1.33; 95% confidence interval (CI), 1.07–1.64]. We observed elevated risk among women drinking ≥7 dpw for ER− [ORadj, 1.31; 95% CI, 1.00–1.72] , PR− [ORadj, 1.28; 95% CI, 1.00–1.63], HER2− [ORadj, 1.36; 95% CI, 1.09–1.70] , and triple-negative [ORadj, 1.39; 95% CI, 0.98–2.00] molecular subtype. Among receptor-positive cases, ORs remained elevated but attenuated relative to receptor-negative cases. Sensitivity analysis of age-defined windows of exposure ( & lt;30 years, 30–49, 50+ years of age) did not reveal variation in patterns of association. Risk associated with alcohol intake did not vary significantly by oral contraceptive use, smoking status, or menopausal status. Conclusions: Among African American women, similar to women of European descent, drinking ≥7 alcoholic dpw was associated with an increased risk of breast cancer regardless of subtype. Impact: Alcohol intake is a modifiable risk factor for breast cancer, and reduced intake among African American women should be encouraged. Cancer Epidemiol Biomarkers Prev; 26(5); 787–94. ©2017 AACR.
    Materialart: Online-Ressource
    ISSN: 1055-9965 , 1538-7755
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2017
    ZDB Id: 2036781-8
    ZDB Id: 1153420-5
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 25, No. 2 ( 2016-02-01), p. 366-373
    Kurzfassung: Background: The evidence on the relation of family history of cancers other than breast cancer to breast cancer risk is conflicting, and most studies have not assessed specific breast cancer subtypes. Methods: We assessed the relation of first-degree family history of breast, prostate, lung, colorectal, ovarian, and cervical cancer and lymphoma or leukemia, to the risk of estrogen receptor–positive (ER+), ER−, and triple-negative breast cancer in data from the African American Breast Cancer Epidemiology and Risk Consortium. Multivariable logistic regression models were used to calculate ORs and 95% confidence intervals (CI). Results: There were 3,023 ER+ and 1,497 ER− breast cancer cases (including 696 triple-negative cases) and 17,420 controls. First-degree family history of breast cancer was associated with increased risk of each subtype: OR = 1.76 (95% CI, 1.57–1.97) for ER+, 1.67 (1.42–1.95) for ER−, and 1.72 (1.38–2.13) for triple-negative breast cancer. Family history of cervical cancer was associated with increased risk of ER− (OR = 2.39; 95% CI, 1.36–4.20), but not ER+ cancer. Family history of both breast and prostate cancer was associated with increased risk of ER+ (3.40; 2.42–4.79) and ER− (2.09; 1.21–3.63) cancer, but family history of both breast and lung cancer was associated only with ER− cancer (2.11; 1.29–3.46). Conclusions: A family history of cancers other than breast may influence the risk of breast cancer, and associations may differ by subtype. Impact: Greater surveillance and counseling for additional screening may be warranted for women with a family history of cancer. Cancer Epidemiol Biomarkers Prev; 25(2); 366–73. ©2015 AACR.
    Materialart: Online-Ressource
    ISSN: 1055-9965 , 1538-7755
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2016
    ZDB Id: 2036781-8
    ZDB Id: 1153420-5
    Standort Signatur Einschränkungen Verfügbarkeit
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