112 results on '"Olshan, Andrew F"'
Search Results
2. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies
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Jung, Audrey Y, Ahearn, Thomas U, Behrens, Sabine, Middha, Pooja, Bolla, Manjeet K, Wang, Qin, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Becher, Heiko, Brenner, Hermann, Canzian, Federico, Carey, Lisa A, Consortium, CTS, Czene, Kamila, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine D, Fritschi, Lin, Gabrielson, Marike, Giles, Graham G, Guénel, Pascal, Hadjisavvas, Andreas, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Hüsing, Anika, Kaaks, Rudolf, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Lacey, James V, Le Marchand, Loic, Lissowska, Jolanta, Loizidou, Maria A, Mannermaa, Arto, Maurer, Tabea, Murphy, Rachel A, Olshan, Andrew F, Olsson, Håkan, Patel, Alpa V, Perou, Charles M, Rennert, Gad, Shibli, Rana, Shu, Xiao-Ou, Southey, Melissa C, Stone, Jennifer, Tamimi, Rulla M, Teras, Lauren R, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Sophia S, Wolk, Alicja, Wu, Anna H, Yang, Xiaohong R, Zheng, Wei, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Milne, Roger L, Chatterjee, Nilanjan, Schmidt, Marjanka K, García-Closas, Montserrat, and Chang-Claude, Jenny
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Breast Cancer ,Aging ,Reproductive health and childbirth ,Female ,Humans ,Breast Neoplasms ,Receptor ,ErbB-2 ,Receptors ,Progesterone ,Receptors ,Estrogen ,Triple Negative Breast Neoplasms ,Case-Control Studies ,Risk Factors ,Biomarkers ,Tumor ,CTS Consortium ,Receptor ,erbB-2 ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundReproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.MethodsAnalyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.ResultsCompared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.ConclusionsThis large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.
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- 2022
3. Influence of alcohol consumption and alcohol metabolism variants on breast cancer risk among Black women: results from the AMBER consortium
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Young, Kristin L., Olshan, Andrew F., Lunetta, Kathryn, Graff, Mariaelisa, Williams, Lindsay A., Yao, Song, Zirpoli, Gary R., Troester, Melissa, and Palmer, Julie R.
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- 2023
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4. Racial differences in breast cancer outcomes by hepatocyte growth factor pathway expression
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Jones, Gieira S, Hoadley, Katherine A, Benefield, Halei, Olsson, Linnea T, Hamilton, Alina M, Bhattacharya, Arjun, Kirk, Erin L, Tipaldos, Heather J, Fleming, Jodie M, Williams, Kevin P, Love, Michael I, Nichols, Hazel B, Olshan, Andrew F, and Troester, Melissa A
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Breast Cancer ,Cancer ,Genetics ,Clinical Research ,Good Health and Well Being ,Black People ,Breast Neoplasms ,Female ,Hepatocyte Growth Factor ,Humans ,Proportional Hazards Models ,Race Factors ,White People ,Breast cancer ,Hepatocyte growth factor ,Clinical Sciences ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
PurposeBlack women have a 40% increased risk of breast cancer-related mortality. These outcome disparities may reflect differences in tumor pathways and a lack of targetable therapies for specific subtypes that are more common in Black women. Hepatocyte growth factor (HGF) is a targetable pathway that promotes breast cancer tumorigenesis, is associated with basal-like breast cancer, and is differentially expressed by race. This study assessed whether a 38-gene HGF expression signature is associated with recurrence and survival in Black and non-Black women.MethodsStudy participants included 1957 invasive breast cancer cases from the Carolina Breast Cancer Study. The HGF signature was evaluated in association with recurrence (n = 1251, 171 recurrences), overall, and breast cancer-specific mortality (n = 706, 190/328 breast cancer/overall deaths) using Cox proportional hazard models.ResultsWomen with HGF-positive tumors had higher recurrence rates [HR 1.88, 95% CI (1.19, 2.98)], breast cancer-specific mortality [HR 1.90, 95% CI (1.26, 2.85)], and overall mortality [HR 1.69; 95% CI (1.17, 2.43)]. Among Black women, HGF positivity was significantly associated with higher 5-year rate of recurrence [HR 1.73; 95% CI (1.01, 2.99)], but this association was not significant in non-Black women [HR 1.68; 95% CI (0.72, 3.90)]. Among Black women, HGF-positive tumors had elevated breast cancer-specific mortality [HR 1.80, 95% CI (1.05, 3.09)], which was not significant in non-Black women [HR 1.52; 95% CI (0.78, 2.99)].ConclusionThis multi-gene HGF signature is a poor-prognosis feature for breast cancer and may identify patients who could benefit from HGF-targeted treatments, an unmet need for Black and triple-negative patients.
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- 2022
5. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer
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Patel, Achal, García-Closas, Montserrat, Olshan, Andrew F, Perou, Charles M, Troester, Melissa A, Love, Michael I, and Bhattacharya, Arjun
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Genetics ,Clinical Research ,Prevention ,Cancer ,Aging ,Genetic Testing ,Breast Cancer ,Good Health and Well Being ,Black People ,Breast Neoplasms ,Female ,Gene Expression Profiling ,Genes ,Neoplasm ,Germ Cells ,Humans ,Neoplasm Recurrence ,Local ,Risk Factors ,White People ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
Continuous risk of recurrence scores (CRS) based on tumor gene expression are vital prognostic tools for breast cancer. Studies have shown that Black women (BW) have higher CRS than White women (WW). Although systemic injustices contribute substantially to breast cancer disparities, evidence of biological and germline contributions is emerging. In this study, we investigated germline genetic associations with CRS and CRS disparity using approaches modeled after transcriptome-wide association studies (TWAS). In the Carolina Breast Cancer Study, using race-specific predictive models of tumor expression from germline genetics, we performed race-stratified (N = 1,043 WW, 1,083 BW) linear regressions of three CRS (ROR-S: PAM50 subtype score; proliferation score; ROR-P: ROR-S plus proliferation score) on imputed tumor genetically regulated tumor expression (GReX). Bayesian multivariate regression and adaptive shrinkage tested GReX-prioritized genes for associations with tumor PAM50 expression and subtype to elucidate patterns of germline regulation underlying GReX-CRS associations. At FDR-adjusted P < 0.10, 7 and 1 GReX prioritized genes among WW and BW, respectively. Among WW, CRS were positively associated with MCM10, FAM64A, CCNB2, and MMP1 GReX and negatively associated with VAV3, PCSK6, and GNG11 GReX. Among BW, higher MMP1 GReX predicted lower proliferation score and ROR-P. GReX-prioritized gene and PAM50 tumor expression associations highlighted potential mechanisms for GReX-prioritized gene to CRS associations. Among patients with breast cancer, differential germline associations with CRS were found by race, underscoring the need for larger, diverse datasets in molecular studies of breast cancer. These findings also suggest possible germline trans-regulation of PAM50 tumor expression, with potential implications for CRS interpretation in clinical settings. SIGNIFICANCE: This study identifies race-specific genetic associations with breast cancer risk of recurrence scores and suggests mediation of these associations by PAM50 subtype and expression, with implications for clinical interpretation of these scores.
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- 2022
6. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women
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Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Le Marchand, Loic, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, Heather A, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, van Veen, Elke M, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara
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Genetics ,Cancer ,Aging ,Human Genome ,Breast Cancer ,Prevention ,Estrogen ,2.1 Biological and endogenous factors ,Aetiology ,Breast ,Breast Neoplasms ,Estrogen Replacement Therapy ,Female ,Hormone Replacement Therapy ,Humans ,Male ,Menopause ,Risk Factors - Abstract
Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values
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- 2022
7. Germline variants and breast cancer survival in patients with distant metastases at primary breast cancer diagnosis.
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Escala-Garcia, Maria, Canisius, Sander, Keeman, Renske, Beesley, Jonathan, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Easton, Douglas F, Ekici, Arif B, Eliassen, A Heather, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Geisler, Jürgen, Giles, Graham G, Grip, Mervi, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartikainen, Jaana M, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hunter, David J, Jacot, William, Jakubowska, Anna, John, Esther M, Jung, Audrey Y, Kaaks, Rudolf, Khusnutdinova, Elza, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Luben, Robert N, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mavroudis, Dimitrios, Muranen, Taru A, Nevanlinna, Heli, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Patel, Alpa V, Peterlongo, Paolo, Pharoah, Paul DP, Punie, Kevin, Radice, Paolo, Rennert, Gad, Rennert, Hedy S, Romero, Atocha, Roylance, Rebecca, Rüdiger, Thomas, Ruebner, Matthias, Saloustros, Emmanouil, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk J, Scott, Christopher, Southey, Melissa C, Surowy, Harald, Swerdlow, Anthony J, Tamimi, Rulla M, Teras, Lauren R, Thomas, Emilie, Tomlinson, Ian, Troester, Melissa A, Vachon, Celine M, Wang, Qin, Winqvist, Robert, and Wolk, Alicja
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kConFab/AOCS Investigators ,Cancer ,Genetics ,Breast Cancer ,Prevention ,2.1 Biological and endogenous factors ,4.1 Discovery and preclinical testing of markers and technologies - Abstract
Breast cancer metastasis accounts for most of the deaths from breast cancer. Identification of germline variants associated with survival in aggressive types of breast cancer may inform understanding of breast cancer progression and assist treatment. In this analysis, we studied the associations between germline variants and breast cancer survival for patients with distant metastases at primary breast cancer diagnosis. We used data from the Breast Cancer Association Consortium (BCAC) including 1062 women of European ancestry with metastatic breast cancer, 606 of whom died of breast cancer. We identified two germline variants on chromosome 1, rs138569520 and rs146023652, significantly associated with breast cancer-specific survival (P = 3.19 × 10-8 and 4.42 × 10-8). In silico analysis suggested a potential regulatory effect of the variants on the nearby target genes SDE2 and H3F3A. However, the variants showed no evidence of association in a smaller replication dataset. The validation dataset was obtained from the SNPs to Risk of Metastasis (StoRM) study and included 293 patients with metastatic primary breast cancer at diagnosis. Ultimately, larger replication studies are needed to confirm the identified associations.
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- 2021
8. Genome-Wide Interaction Analysis of Menopausal Hormone Therapy Use and Breast Cancer Risk Among 62,370 Women
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Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Marchand, Loic Le, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, A Heather, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, Veen, Elke M van, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara
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Cancer ,Prevention ,Breast Cancer ,Genetics ,Human Genome ,Aging ,Estrogen ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being - Abstract
Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values
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- 2021
9. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association ConsortiumBreast Cancer Risk Factors and Survival By Tumor Subtype
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Morra, Anna, Jung, Audrey Y, Behrens, Sabine, Keeman, Renske, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi K, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Choi, Ji-Yeob, Clarke, Christine L, Investigators, for the ABCTB, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Egan, Kathleen M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny N, Hart, Steven N, Hartman, Mikael, Heyworth, Jane S, Hoppe, Reiner, Hopper, John L, Hunter, David J, Ito, Hidemi, Jager, Agnes, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Collaborators, for the NBCS, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mariapun, Shivaani, Matsuo, Keitaro, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Newman, William G, Noh, Dong-Young, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Petridis, Christos, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rashid, Muhammad U, Rennert, Gad, Rennert, Hedy S, and Rhenius, Valerie
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Health Services and Systems ,Biomedical and Clinical Sciences ,Health Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Aging ,Estrogen ,Cancer ,Prevention ,Breast Cancer ,Good Health and Well Being ,Adult ,Aged ,Breast Neoplasms ,Cause of Death ,Female ,Humans ,Life Style ,Middle Aged ,Neoplasm Invasiveness ,Neoplasm Staging ,Prospective Studies ,Risk Factors ,Survival Analysis ,ABCTB Investigators ,NBCS Collaborators ,Medical and Health Sciences ,Epidemiology ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundIt is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype.MethodsWe analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype.ResultsThere was no evidence of heterogeneous associations between risk factors and mortality by subtype (P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus 0-
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- 2021
10. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.
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Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick
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ABCTB Investigators ,kConFab/AOCS Investigators ,Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Receptors ,Estrogen ,Medical History Taking ,Body Mass Index ,Logistic Models ,Risk Factors ,Case-Control Studies ,Polymorphism ,Single Nucleotide ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,White People ,Aging ,Breast Cancer ,Prevention ,Cancer ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
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- 2021
11. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers
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Johnson, Nichola, Maguire, Sarah, Morra, Anna, Kapoor, Pooja Middha, Tomczyk, Katarzyna, Jones, Michael E, Schoemaker, Minouk J, Gilham, Clare, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baynes, Caroline, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Linet, Martha, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John WM, Mavroudis, Dimitrios, Mayes, Rebecca, Meindl, Alfons, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, and Olson, Janet E
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Estrogen ,Human Genome ,Clinical Research ,Cancer ,Aging ,Breast Cancer ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Alleles ,Breast Neoplasms ,Case-Control Studies ,Cytochrome P-450 CYP3A ,Estrone ,Female ,Genome-Wide Association Study ,Humans ,Polymorphism ,Single Nucleotide ,Pregnanediol ,Premenopause ,Progesterone ,Receptors ,Estrogen ,Receptors ,Progesterone ,NBCS Collaborators ,AOCS Group ,ABCTB Investigators ,kConFab Investigators ,Oncology and Carcinogenesis ,Public Health and Health Services ,Oncology & Carcinogenesis - Abstract
BackgroundEpidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk.MethodsWe carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry.ResultsFor pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8).ConclusionsThe CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
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- 2021
12. Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
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Adedokun, Babatunde, Du, Zhaohui, Gao, Guimin, Ahearn, Thomas U, Lunetta, Kathryn L, Zirpoli, Gary, Figueroa, Jonine, John, Esther M, Bernstein, Leslie, Zheng, Wei, Hu, Jennifer J, Ziegler, Regina G, Nyante, Sarah, Bandera, Elisa V, Ingles, Sue A, Press, Michael F, Deming-Halverson, Sandra L, Rodriguez-Gil, Jorge L, Yao, Song, Ogundiran, Temidayo O, Ojengbede, Oladosu, Blot, William, Troester, Melissa A, Nathanson, Katherine L, Hennis, Anselm, Nemesure, Barbara, Ambs, Stefan, Fiorica, Peter N, Sucheston-Campbell, Lara E, Bensen, Jeannette T, Kushi, Lawrence H, Torres-Mejia, Gabriela, Hu, Donglei, Fejerman, Laura, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Easton, Douglas F, Michailidou, Kyriaki, Pharoah, Paul DP, Wang, Qin, Sandler, Dale P, Taylor, Jack A, O’Brien, Katie M, Kitahara, Cari M, Falusi, Adeyinka G, Babalola, Chinedum, Yarney, Joel, Awuah, Baffour, Addai-Wiafe, Beatrice, Chanock, Stephen J, Olshan, Andrew F, Ambrosone, Christine B, Conti, David V, Ziv, Elad, Olopade, Olufunmilayo I, Garcia-Closas, Montserrat, Palmer, Julie R, Haiman, Christopher A, and Huo, Dezheng
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Genetics ,Breast Cancer ,Human Genome ,Cancer ,Prevention ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Black People ,Breast Neoplasms ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Introns ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,White People ,GBHS Study Team - Abstract
Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P
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- 2021
13. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk
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Kramer, Iris, Hooning, Maartje J, Mavaddat, Nasim, Hauptmann, Michael, Keeman, Renske, Steyerberg, Ewout W, Giardiello, Daniele, Antoniou, Antonis C, Pharoah, Paul DP, Canisius, Sander, Abu-Ful, Zumuruda, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Bremer, Michael, Brucker, Sara Y, Burwinkel, Barbara, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hopper, John L, Hou, Ming-Feng, Howell, Anthony, Ito, Hidemi, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kets, C Marleen, Khusnutdinova, Elza, Ko, Yon-Dschun, Kristensen, Vessela N, Kurian, Allison W, Kwong, Ava, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger, Mulligan, Anna Marie, Muranen, Taru A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, and Peto, Julian
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Breast Cancer ,Prevention ,Cancer ,Adult ,Aged ,Asian People ,Breast Neoplasms ,Cohort Studies ,Estrogen Receptor alpha ,Female ,Gene Expression ,Genetic Predisposition to Disease ,Genome ,Human ,Genome-Wide Association Study ,Humans ,Middle Aged ,Multifactorial Inheritance ,Neoadjuvant Therapy ,Neoplasms ,Second Primary ,Prognosis ,Proportional Hazards Models ,Receptor ,ErbB-2 ,Receptors ,Progesterone ,Risk Assessment ,White People ,NBCS Collaborators ,ABCTB Investigators ,kConFab Investigators ,Receptor ,erbB-2 ,contralateral breast cancer ,epidemiology ,genetic ,polygenic risk score ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.
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- 2020
14. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.
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Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, and Olsson, Håkan
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Germ Cells ,Humans ,Breast Neoplasms ,GTP-Binding Protein alpha Subunits ,GTP-Binding Protein alpha Subunits ,Gq-G11 ,Receptors ,Estrogen ,Prognosis ,Computational Biology ,Signal Transduction ,Apoptosis ,Genotype ,Female ,Gene Regulatory Networks ,Genetic Variation ,Genome-Wide Association Study ,Circadian Clocks ,Gq-G11 ,Receptors ,Estrogen ,Cancer ,Breast Cancer ,Genetics ,2.1 Biological and endogenous factors ,4.1 Discovery and preclinical testing of markers and technologies - Abstract
Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.
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- 2020
15. The association between meat and fish intake by preparation methods and breast cancer in the Carolina Breast Cancer Study (CBCS)
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Omofuma, Omonefe O., Steck, Susan E., Olshan, Andrew F., and Troester, Melissa A.
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- 2022
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16. Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III
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Vohra, Sanah N., Reeder-Hayes, Katherine E., Nichols, Hazel B., Emerson, Marc A., Love, Michael I., Olshan, Andrew F., and Troester, Melissa A.
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- 2022
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17. Validity of breast cancer surgery treatment information in a state-based cancer registry
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Roberson, Mya L., Nichols, Hazel B., Wheeler, Stephanie B., Reeder-Hayes, Katherine E., Olshan, Andrew F., Baggett, Christopher D., and Robinson, Whitney R.
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- 2022
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18. Genetic variants in anti-Müllerian hormone-related genes and breast cancer risk: results from the AMBER consortium
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Nichols, Hazel B., Graff, Mariaelisa, Bensen, Jeannette T., Lunetta, Kathryn L., O’Brien, Katie M., Troester, Melissa A., Williams, Lindsay A., Young, Kristin, Hong, Chi-Chen, Yao, Song, Haiman, Christopher A., Ruiz-Narváez, Edward A., Ambrosone, Christine B., Palmer, Julie R., and Olshan, Andrew F.
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- 2021
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19. Hepatocyte growth factor pathway expression in breast cancer by race and subtype
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Jones, Gieira S., Hoadley, Katherine A., Olsson, Linnea T., Hamilton, Alina M., Bhattacharya, Arjun, Kirk, Erin L., Tipaldos, Heather J., Fleming, Jodie M., Love, Michael I., Nichols, Hazel B., Olshan, Andrew F., and Troester, Melissa A.
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- 2021
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20. Integrating Biology and Access to Care in Addressing Breast Cancer Disparities: 25 Years’ Research Experience in the Carolina Breast Cancer Study
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Emerson, Marc A., Reeder-Hayes, Katherine E., Tipaldos, Heather J., Bell, Mary E., Sweeney, Marina R., Carey, Lisa A., Earp, H. Shelton, Olshan, Andrew F., and Troester, Melissa A.
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- 2020
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21. Premenopausal gynecologic surgery and survival among black and white women with breast cancer
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Roberson, Mya L., Nichols, Hazel B., Olshan, Andrew F., A. Troester, Melissa, and Robinson, Whitney R.
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- 2020
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22. Differences in race, molecular and tumor characteristics among women diagnosed with invasive ductal and lobular breast carcinomas
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Williams, Lindsay A., Hoadley, Katherine A., Nichols, Hazel B., Geradts, Joseph, Perou, Charles M., Love, Michael I., Olshan, Andrew F., and Troester, Melissa A.
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- 2019
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23. A framework for transcriptome-wide association studies in breast cancer in diverse study populations
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Bhattacharya, Arjun, García-Closas, Montserrat, Olshan, Andrew F., Perou, Charles M., Troester, Melissa A., and Love, Michael I.
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- 2020
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24. Reproductive risk factor associations with lobular and ductal carcinoma in the Carolina Breast Cancer Study
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Williams, Lindsay A., Nichols, Hazel B., Hoadley, Katherine A., Tse, Chiu Kit, Geradts, Joseph, Bell, Mary Elizabeth, Perou, Charles M., Love, Michael I., Olshan, Andrew F., and Troester, Melissa A.
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- 2017
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25. Active smoking and survival following breast cancer among African American and non-African American women in the Carolina Breast Cancer Study
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Parada, Jr, Humberto, Sun, Xuezheng, Tse, Chiu-Kit, Olshan, Andrew F., Troester, Melissa A., and Conway, Kathleen
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- 2017
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26. Examining health-related quality of life patterns in women with breast cancer
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Pinheiro, Laura C., Tan, Xianming, Olshan, Andrew F., Wheeler, Stephanie B., Reeder-Hayes, Katherine E., Samuel, Cleo A., and Reeve, Bryce B.
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- 2017
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27. Polymorphisms in the carcinogen detoxification genes CYB5A and CYB5R3 and breast cancer risk in African American women
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Blanke, Kristina L., Sacco, James C., Millikan, Robert C., Olshan, Andrew F., Luo, Jingchun, and Trepanier, Lauren A.
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- 2014
28. Body size across the life course and risk of premenopausal and postmenopausal breast cancer in Black women, the Carolina Breast Cancer Study, 1993–2001
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Robinson, Whitney R., Tse, Chiu Kit, Olshan, Andrew F., and Troester, Melissa A.
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- 2014
29. A collaborative study of the etiology of breast cancer subtypes in African American women: the AMBER consortium
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Palmer, Julie R., Ambrosone, Christine B., and Olshan, Andrew F.
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- 2014
30. A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
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Bensen, Jeannette T., Graff, Mariaelisa, Young, Kristin L., Sethupathy, Praveen, Parker, Joel, Pecot, Chad V., Currin, Kevin, Haddad, Stephen A., Ruiz-Narváez, Edward A., Haiman, Christopher A., Hong, Chi-Chen, Sucheston-Campbell, Lara E., Zhu, Qianqian, Liu, Song, Yao, Song, Bandera, Elisa V., Rosenberg, Lynn, Lunetta, Kathryn L., Ambrosone, Christine B., Palmer, Julie R., Troester, Melissa A., and Olshan, Andrew F.
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- 2018
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31. Vigorous physical activity and risk of breast cancer in the African American breast cancer epidemiology and risk consortium
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Gong, Zhihong, Hong, Chi-Chen, Bandera, Elisa V., Adams-Campbell, Lucile L., Troester, Melissa A., Park, Song-Yi, McInerney, Kathryn A., Zirpoli, Gary, Olshan, Andrew F., Palmer, Julie R., Ambrosone, Christine B., and Rosenberg, Lynn
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- 2016
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32. Active smoking and risk of Luminal and Basal-like breast cancer subtypes in the Carolina Breast Cancer Study
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Butler, Eboneé N., Tse, Chiu-Kit, Bell, Mary Elizabeth, Conway, Kathleen, Olshan, Andrew F., and Troester, Melissa A.
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- 2016
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33. Alcohol intake and invasive breast cancer risk by molecular subtype and race in the Carolina Breast Cancer Study
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Williams, Lindsay A., Olshan, Andrew F., Tse, Chui Kit, Bell, Mary Elizabeth, and Troester, Melissa A.
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- 2016
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34. Gene-based analysis of the fibroblast growth factor receptor signaling pathway in relation to breast cancer in African American women: the AMBER consortium
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Ruiz-Narváez, Edward A., Haddad, Stephen A., Lunetta, Kathryn L., Yao, Song, Bensen, Jeannette T., Sucheston-Campbell, Lara E., Hong, Chi-Chen, Haiman, Christopher A., Olshan, Andrew F., Ambrosone, Christine B., and Palmer, Julie R.
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- 2016
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35. Polymorphisms in oxidative stress genes, physical activity, and breast cancer risk
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McCullough, Lauren E., Santella, Regina M., Cleveland, Rebecca J., Bradshaw, Patrick T., Millikan, Robert C., North, Kari E., Olshan, Andrew F., Eng, Sybil M., Ambrosone, Christine B., Ahn, Jiyoung, Steck, Susan E., Teitelbaum, Susan L., Neugut, Alfred I., and Gammon, Marilie D.
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- 2012
36. Body mass index associated with genome-wide methylation in breast tissue
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Hair, Brionna Y., Xu, Zongli, Kirk, Erin L., Harlid, Sophia, Sandhu, Rupninder, Robinson, Whitney R., Wu, Michael C., Olshan, Andrew F., Conway, Kathleen, Taylor, Jack A., and Troester, Melissa A.
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- 2015
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37. Single-nucleotide polymorphisms in DNA bypass polymerase genes and association with breast cancer and breast cancer subtypes among African Americans and Whites
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Family, Leila, Bensen, Jeannette T., Troester, Melissa A., Wu, Michael C., Anders, Carey K., and Olshan, Andrew F.
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- 2015
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38. MnSOD Val-9Ala Genotype, Pro- and Anti-Oxidant Environmental Modifiers, and Breast Cancer among Women on Long Island, New York
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Gaudet, Mia M., Gammon, Marilie D., Santella, Regina M., Britton, Julie A., Teitelbaum, Susan L., Eng, Sybil M., Terry, Mary Beth, Bensen, Jeannette T., Schroeder, Jane, Olshan, Andrew F., Neugut, Alfred I., and Ambrosone, Christine B.
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- 2005
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39. Bimodal age distribution at diagnosis in breast cancer persists across molecular and genomic classifications
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Allott, Emma, Shan, Yue, Chen, Mengjie, Sun, Xuezheng, Garcia-Recio, Susana, Kirk, Erin L, Olshan, Andrew F, Geradts, Joseph, Earp, H Shelton, Carey, Lisa A, Perou, Charles M, Pfeiffer, Ruth M, Anderson, William F., and Troester, Melissa A.
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Oncology ,Cancer Research ,medicine.medical_specialty ,Race ,Etiology ,Epidemiology ,Estrogen receptor ,Subtype ,Breast Neoplasms ,Biology ,Bimodality ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Age Distribution ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,Biomarkers, Tumor ,Humans ,PAM50 ,Age of Onset ,030304 developmental biology ,Aged ,Mixture model ,0303 health sciences ,Sequence Analysis, RNA ,Gene Expression Profiling ,Luminal a ,Genomics ,Middle Aged ,medicine.disease ,Immunohistochemistry ,3. Good health ,Cancer registry ,Gene Expression Regulation, Neoplastic ,030220 oncology & carcinogenesis ,Age distribution ,Female ,Akaike information criterion - Abstract
Purpose Female breast cancer demonstrates bimodal age frequency distribution patterns at diagnosis, interpretable as two main etiologic subtypes or groupings of tumors with shared risk factors. While RNA-based methods including PAM50 have identified well-established clinical subtypes, age distribution patterns at diagnosis as a proxy for etiologic subtype are not established for molecular and genomic tumor classifications. Methods We evaluated smoothed age frequency distributions at diagnosis for Carolina Breast Cancer Study cases within immunohistochemistry-based and RNA-based expression categories. Akaike information criterion (AIC) values compared the fit of single density versus two-component mixture models. Two-component mixture models estimated the proportion of early-onset and late-onset categories by immunohistochemistry-based ER (n = 2860), and by RNA-based ESR1 and PAM50 subtype (n = 1965). PAM50 findings were validated using pooled publicly available data (n = 8103). Results Breast cancers were best characterized by bimodal age distribution at diagnosis with incidence peaks near 45 and 65 years, regardless of molecular characteristics. However, proportional composition of early-onset and late-onset age distributions varied by molecular and genomic characteristics. Higher ER-protein and ESR1-RNA categories showed a greater proportion of late age-at-onset. Similarly, PAM50 subtypes showed a shifting age-at-onset distribution, with most pronounced early-onset and late-onset peaks found in Basal-like and Luminal A, respectively. Conclusions Bimodal age distribution at diagnosis was detected in the Carolina Breast Cancer Study, similar to national cancer registry data. Our data support two fundamental age-defined etiologic breast cancer subtypes that persist across molecular and genomic characteristics. Better criteria to distinguish etiologic subtypes could improve understanding of breast cancer etiology and contribute to prevention efforts.
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- 2019
40. Mammographic density and breast cancer risk in White and African American Women
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Razzaghi, Hilda, Troester, Melissa A., Gierach, Gretchen L., Olshan, Andrew F., Yankaskas, Bonnie C., and Millikan, Robert C.
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- 2012
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41. Association between reproductive factors and breast cancer survival in younger women
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Trivers, Katrina F., Gammon, Marilie D., Abrahamson, Page E., Lund, Mary Jo, Flagg, Elaine W., Kaufman, Jay S., Moorman, Patricia G., Cai, Jianwen, Olshan, Andrew F., Porter, Peggy L., Brinton, Louise A., Eley, J. William, and Coates, Ralph J.
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- 2007
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42. Dietary Vitamin A and Breast Cancer Risk in Black Women: The African American Breast Cancer Epidemiology and Risk (AMBER) Consortium.
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Bitsie, Kevin R, Cheng, Ting-Yuan David, McCann, Susan E, Zirpoli, Gary, Yao, Song, Bandera, Elisa V, Kolonel, Laurence N, Rosenberg, Lynn, Olshan, Andrew F, Palmer, Julie R, and Ambrosone, Christine B
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VITAMIN A ,AFRICAN American women ,DISEASE risk factors ,EPIDEMIOLOGY of cancer ,BREAST cancer ,FOOD consumption ,PROTEINS ,RESEARCH ,CASE-control method ,EVALUATION research ,COMPARATIVE studies ,RESEARCH funding ,LOGISTIC regression analysis ,BREAST tumors ,AFRICAN Americans - Abstract
Background: Studies in women of European descent showed an inverse association of dietary vitamin A (retinol and carotenoids) intake with breast cancer risks, mainly in premenopausal women.Objectives: We examined whether higher compared with lower levels of dietary vitamin A are associated with reduced breast cancer risks among Black women by estrogen receptor (ER) and menopausal statuses.Methods: In this pooled analysis, data were from 3564 breast cancer cases and 11,843 controls (mean ages = 56.4 and 56.3 years, respectively) in the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium. Dietary intake was assessed by FFQs. Multivariable logistic regressions were performed to estimate ORs and 95% CIs for study-specific quintiles of total vitamin A equivalents and individual carotenoids, and a pooled OR was estimated by a random-effect model.Results: We observed an inverse association of total vitamin A equivalents with ER-positive breast cancer (quintiles 5 compared with 1: pooled OR: 0.82; 95% CI: 0.67-1.00; P-trend = 0.045). The association was seen among premenopausal women (pooled OR: 0.60; 95% CI: 0.43-0.83; P-trend = 0.004), but not among postmenopausal women (pooled OR: 0.99; 95% CI: 0.77-1.28; P-trend = 0.78). Additionally, there were inverse associations of dietary β-carotene (quintiles 5 compared with 1: pooled OR: 0.70; 95% CI: 0.51-0.95; P-trend = 0.08) and lutein (pooled OR: 0.63; 95% CI: 0.45-0.87; P-trend = 0.020) with ER-positive breast cancer among premenopausal women. There was no evidence for an association of total vitamin A equivalents or individual carotenoids with ER-negative breast cancer, regardless of menopausal status.Conclusions: Our findings on dietary vitamin A and breast cancer risks in Black women are consistent with observations in women of European descent and advance the literature showing an inverse association for ER-positive disease. [ABSTRACT FROM AUTHOR]- Published
- 2021
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43. A Congener-specific and Mixture Analysis of Plasma Polychlorinated Biphenyl Levels and Incident Breast Cancer.
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Parada, Humberto, Benmarhnia, Tarik, Engel, Lawrence S., Sun, Xuezheng, Tse, Chiu-Kit, Hoh, Eunha, Olshan, Andrew F., Troester, Melissa A., and Parada, Humberto Jr
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POLLUTANTS ,CASE-control method ,RESEARCH funding ,BREAST tumors ,POLYCHLORINATED biphenyls - Abstract
Background: Polychlorinated biphenyls (PCBs), a diverse class of chemicals, are hypothesized mammary carcinogens. We examined plasma levels of 17 PCBs as individual congeners and as a mixture in association with breast cancer using a novel approach based on quantile g-computation.Methods: This study included 845 White and 562 Black women who participated in the population-based, case-control Carolina Breast Cancer Study Phase I. Cases (n = 748) were women with a first diagnosis of histologically confirmed, invasive breast cancer residing in 24 counties in central and eastern North Carolina; controls (n = 659) were women without breast cancer from the same counties. PCBs were measured in plasma samples obtained during the study interview. We estimated associations [covariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs)] between individual PCB congeners and breast cancer using multivariable logistic regression. We assessed PCB mixtures using quantile g-computation and examined effect measure modification by race.Results: Comparing highest and lowest tertiles of PCBs resulted in ORs of 1.3 (95% CI = 0.95, 1.8) for congener 74, 1.4 (95% CI = 1.0, 1.9) for 99, 1.3 (95% CI = 0.91, 1.8) for 194, and 1.2 (95% CI = 0.90, 1.7) for 201. Among all women, we estimated a joint effect of the PCB mixture with an OR of 1.3 (95% CI = 0.98, 1.6) per tertile change. In race-stratified analyses, associations for tertiles of PCB mixtures were stronger among Black women (OR = 1.5; 95% CI = 1.0, 2.3) than among White women (OR = 1.1; 95% CI = 0.81, 1.6).Conclusion: Our results are consistent with the hypothesis that exposure to PCB mixtures increase the risk of breast cancer, but studies of populations with different exposure profiles are needed. [ABSTRACT FROM AUTHOR]- Published
- 2021
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44. Breast cancer treatment delays by socioeconomic and health care access latent classes in Black and White women.
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Emerson, Marc A., Golightly, Yvonne M., Aiello, Allison E., Reeder‐Hayes, Katherine E., Tan, Xianming, Maduekwe, Ugwuji, Johnson‐Thompson, Marian, Olshan, Andrew F., and Troester, Melissa A.
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HEALTH services accessibility ,WHITE women ,BLACK women ,CANCER treatment ,BREAST cancer - Abstract
Background: Breast cancer mortality is higher for Black and younger women. This study evaluated 2 possible contributors to disparities—time to treatment and treatment duration—by race and age. Methods: Among 2841 participants with stage I‐III disease in the Carolina Breast Cancer Study, we identified groups of women with similar patterns of socioeconomic status (SES), access to care, and tumor characteristics using latent class analysis. We then evaluated latent classes in association with treatment delay (initiation >60 days after diagnosis) and treatment duration (in quartiles by treatment modality). Results: Thirty‐two percent of younger Black women were in the highest quartile of treatment duration (versus 22% of younger White women). Black women experienced a higher frequency of delayed treatment (adjusted relative frequency difference [RFD], 5.5% [95% CI, 3.2%‐7.8%]) and prolonged treatment duration (RFD, 8.8% [95% CI, 5.7%‐12.0%]). Low SES was significantly associated with treatment delay among White women (RFD, 3.5% [95% CI, 1.1%‐5.9%]), but treatment delay was high at all levels of SES in Black women (eg, 11.7% in high SES Black women compared with 10.6% and 6.7% among low and high SES White women, respectively). Neither SES nor access to care classes were significantly associated with delayed initiation among Black women, but both low SES and more barriers were associated with treatment duration across both groups. Conclusions: Factors that influence treatment timeliness persist throughout the care continuum, with prolonged treatment duration being a sensitive indicator of differences by race, SES, and care barriers. Economic and other barriers to care appear to compound across the continuum, with treatment duration representing a sensitive indicator of barriers to care. By developing an integrated view of multiple patient factors that contribute to duration, appropriate multidimensional interventions can be conceptualized to reduce racial mortality disparities. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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45. Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place.
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Spencer, Jennifer C, Rotter, Jason S, Eberth, Jan M, Zahnd, Whitney E, Vanderpool, Robin C, Ko, Linda K, Davis, Melinda M, Troester, Melissa A, Olshan, Andrew F, and Wheeler, Stephanie B
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EMPLOYMENT changes ,CANCER diagnosis ,RURAL women ,BREAST cancer ,WHITE women ,RESEARCH funding - Abstract
The financial implications of breast cancer diagnosis may be greater among rural and black women. Women with incident breast cancer were recruited as part of the Carolina Breast Cancer Study. We compared unadjusted and adjusted prevalence of cancer-related job or income loss, and a composite measure of either outcome, by rural residence and stratified by race. We included 2435 women: 11.7% were rural; 48.5% were black; and 38.0% reported employment changes after diagnosis. Rural women more often reported employment effects, including reduced household income (43.6% vs 35.4%, two-sided χ2 test P = .04). Rural white, rural black, and urban black women each more often reported income reduction (statistically significant vs. urban white women), although these groups did not meaningfully differ from each other. In multivariable regression, rural differences were mediated by socioeconomic factors, but racial differences remained. Programs and policies to reduce financial toxicity in vulnerable patients should address indirect costs of cancer, including lost wages and employment. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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46. Integrating access to care and tumor patterns by race and age in the Carolina Breast Cancer Study, 2008-2013.
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Emerson, Marc A., Golightly, Yvonne M., Tan, Xianming, Aiello, Allison E., Reeder-Hayes, Katherine E., Olshan, Andrew F., Earp, H. Shelton, and Troester, Melissa A.
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BREAST cancer ,COMORBIDITY ,OLDER women ,RACE ,CANCER-related mortality - Abstract
Purpose: Understanding breast cancer mortality disparities by race and age is complex due to disease heterogeneity, comorbid disease, and the range of factors influencing access to care. It is important to understand how these factors group together within patients.Methods: We compared socioeconomic status (SES) and comorbidity factors in the Carolina Breast Cancer Study Phase 3 (CBCS3, 2008-2013) to those for North Carolina using the 2010 Behavioral Risk Factor Surveillance Study. In addition, we used latent class analysis of CBCS3 data to identify covariate patterns by SES/comorbidities, barriers to care, and tumor characteristics and examined their associations with race and age using multinomial logistic regression.Results: Major SES and comorbidity patterns in CBCS3 participants were generally similar to patterns in the state. Latent classes were identified for SES/comorbidities, barriers to care, and tumor characteristics that varied by race and age. Compared to white women, black women had lower SES (odds ratio (OR) 6.3, 95% confidence interval (CI) 5.2, 7.8), more barriers to care (OR 5.6, 95% CI 3.9, 8.1) and several aggregated tumor aggressiveness features. Compared to older women, younger women had higher SES (OR 0.5, 95% CI 0.4, 0.6), more barriers to care (OR 2.1, 95% CI 1.6, 2.9) and aggregated tumor aggressiveness features.Conclusions: CBCS3 is representative of North Carolina on comparable factors. Patterns of access to care and tumor characteristics are intertwined with race and age, suggesting that interventions to address disparities will need to target both access and biology. [ABSTRACT FROM AUTHOR]- Published
- 2020
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47. Race and delays in breast cancer treatment across the care continuum in the Carolina Breast Cancer Study.
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Reeder‐Hayes, Katherine E., Mayer, Sophie E., Olshan, Andrew F., Wheeler, Stephanie B., Carey, Lisa A., Tse, Chiu‐Kit, Bell, Mary Elizabeth, Troester, Melissa A., Reeder-Hayes, Katherine E, and Tse, Chiu-Kit
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CONTINUUM of care ,BREAST cancer ,CANCER treatment ,HEALTH services accessibility ,CANCER relapse - Abstract
Background: After controlling for baseline disease factors, researchers have found that black women have worse breast cancer survival, and this suggests that treatment differences may contribute to poorer outcomes. Delays in initiating and completing treatment are one proposed mechanism.Methods: Phase 3 of the Carolina Breast Cancer Study involved a large, population-based cohort of women with incident breast cancer. For this analysis, we included black women (n = 1328) and white women (n = 1331) with stage I to III disease whose treatment included surgery with or without adjuvant therapies. A novel treatment pathway grouping was used to benchmark the treatment duration (surgery only, surgery plus chemotherapy, surgery plus radiation, or all 3). Models controlled for the treatment pathway, age, and tumor characteristics and for demographic factors related to health care access. Exploratory analyses of the association between delays and cancer recurrence were performed.Results: In fully adjusted analyses, blacks had 1.73 times higher odds of treatment initiation more than 60 days after their diagnosis in comparison with whites (odds ratio [OR], 1.73; 95% confidence interval [CI], 1.04-2.90). Black race was also associated with a longer treatment duration. Blacks were also more likely to be in the highest quartile of treatment duration (OR, 1.69; 95% CI, 1.41-2.02), even after adjustments for demographic and tumor characteristics (OR, 1.31; 95% CI, 1.04-1.64). A nonsignificant trend toward a higher recurrence risk was observed for patients with delayed initiation (hazard ratio, 1.44; 95% CI, 0.89-2.33) or the longest duration (hazard ratio, 1.17; 95% CI, 0.87-1.59).Conclusions: Black women more often had delayed treatment initiation and a longer duration than whites receiving similar treatment. Interventions that target access barriers may be needed to improve timely delivery of care. [ABSTRACT FROM AUTHOR]- Published
- 2019
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48. Risk factors for Luminal A ductal carcinoma in situ (DCIS) and invasive breast cancer in the Carolina Breast Cancer Study.
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Williams, Lindsay A., Casbas-Hernandez, Patricia, Nichols, Hazel B., Tse, Chiu Kit, Allott, Emma H., Carey, Lisa A., Olshan, Andrew F., and Troester, Melissa A.
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BREAST cancer ,TUMORS ,DUCTAL carcinoma ,CARCINOGENESIS ,CANCER diagnosis ,ODDS ratio ,CONFIDENCE intervals - Abstract
Purpose: Invasive breast cancers are thought to arise from in situ lesions, but some ductal carcinoma in situ (DCIS) are indolent with low likelihood of progressing to invasive carcinoma. Comparison of risk factor associations between DCIS and invasive disease may elucidate which factors influence early versus late stages of carcinogenesis. Therefore, we determined whether there were differences in risk factor profiles for screen-detected DCIS and invasive breast cancer among Luminal A lesions. Methods: We conducted a case-control analysis using data from the Carolina Breast Cancer Study (1993–2001). Analyses were restricted to Luminal A tumors and screen-detected tumors among mammography-eligible women, to limit confounding by mode of detection (N = 108 DCIS; N = 203 invasive). Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between risk factors and lesion type. Results: In stratified analyses, we observed qualitative differences in the direction of association for ever smoking, obese BMI, high waist-to-hip-ratio (WHR), and ≥10 years of oral contraceptive use between DCIS and invasive disease. Breastfeeding was inversely associated with invasive disease and was not associated with DCIS. Interaction tests for risk factor associations between Luminal A DCIS and invasive breast cancer were not statistically significant (p>0.05). Conclusions: Among Luminal A tumors, established breast cancer risk factors may exert stronger effects on progression of early lesions to invasive disease, with lesser effects on risk of DCIS. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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49. Lifestyle Patterns and Survival Following Breast Cancer in the Carolina Breast Cancer Study.
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Parada, Humberto, Sun, Xuezheng, Tse, Chiu-Kit, Olshan, Andrew F., Troester, Melissa A., and Parada, Humberto Jr
- Abstract
Background: Few studies have examined the impact of lifestyle patterns on survival following breast cancer. We aimed to identify distinct lifestyle patterns based on five behavior/dietary exposures among a population-based sample of women diagnosed with breast cancer and to examine their association with subsequent survival.Methods: In the Carolina Breast Cancer Study Phases I/II, we interviewed 1,808 women 20-74 years of age following diagnosis of invasive breast cancer. We determined vital status using the National Death Index (717 deaths, 427 from breast cancer; median follow-up 13.56 years). We assessed lifestyle patterns using a latent class analysis based on five behavioral and dietary exposures: current versus never/former smokers; low versus high vegetable and fruit intake; high and low/moderate, versus no alcohol consumption; and no and low/moderate, versus high regular physical activity. We used Cox regression to estimate covariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality, and cause-specific and subdistribution HRs for breast cancer-specific mortality within 5 years and 13 years postdiagnosis conditional on 5-year survival.Results: We identified three distinct lifestyle patterns: healthy behavior and diet (n = 916); healthy behavior and unhealthy diet (n = 624); and unhealthy behavior and diet (n = 268). The unhealthy (vs. healthy) behavior and diet pattern was associated with a 13-year conditional all-cause mortality HR of 1.4 (95% CI = 1.1, 1.9) and with 13-year conditional breast cancer-specific and subdistribution HRs of 1.2 (95% CI = 0.79, 1.9) and 1.2 (95% CI = 0.77, 1.8), respectively.Conclusions: Behavioral and dietary patterns can be used to identify lifestyle patterns that influence survival patterns following breast cancer diagnosis. [ABSTRACT FROM AUTHOR]- Published
- 2019
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50. Race, Menopausal Hormone Therapy, and Invasive Breast Cancer in the Carolina Breast Cancer Study.
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DeBono, Nathan L., Robinson, Whitney R., Lund, Jennifer L., Tse, Chiu Kit, Moorman, Patricia G., Olshan, Andrew F., and Troester, Melissa A.
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BLACK people ,BREAST tumors ,CONFIDENCE intervals ,ESTROGEN ,HORMONE therapy ,HYSTERECTOMY ,MENOPAUSE ,PROGESTATIONAL hormones ,RACE ,WHITE people ,LOGISTIC regression analysis ,DESCRIPTIVE statistics ,ODDS ratio ,POPULATION-based case control - Abstract
Purpose: The use of combined estrogen-progestin menopausal hormone therapy (MHT) has been shown to increase the risk of breast cancer, however, recent observational studies have suggested that the association between MHT and breast cancer may be modified by race. The objective of this study was to investigate the association between MHT use and incidence of invasive breast cancer in Black and White women aged -40 years at diagnosis after accounting for racial differences in patterns of MHT use and formulation. Methods: Data from the Carolina Breast Cancer Study, a population-based case-control study of Black and White women in North Carolina conducted between 1993 and 2001, was used to analyze 1474 invasive breast cancer cases and 1339 controls using unconditional logistic regression. Results: Black women were less likely than White women to use any MHT and were more likely to use an unopposed-estrogen formulation. Combined estrogen-progestin MHT use was associated with a greater odds of breast cancer in White (adjusted odds ratio [OR] 1.48, 95% confidence interval [CI]: 1.03-2.13) and Black (OR 1.43, 95% CI: 0.76-2.70) women, although the estimate in Black women was imprecise. In contrast, use of unopposed-estrogen MHT among women with prior hysterectomy was not associated with breast cancer in women of either race. Conclusion: The association between MHT and invasive breast cancer appears to be similar in both Black and White women after accounting for differences in formulation and prior hysterectomy. These findings emphasize the importance of accounting for MHT formulation in race-stratified analyses of breast cancer risk. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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