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Avatefi M, HadavandSiri F, Nazari SSH, Akbari ME. Risk factors of developing contralateral breast cancer after first primary breast cancer treatment. Cancer Rep (Hoboken) 2024; 7:e1927. [PMID: 37919558 PMCID: PMC10809186 DOI: 10.1002/cnr2.1927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Breast cancer (BC) is the most common cancer among women worldwide. Increased survival of primary BC (PBC) has increased contralateral breast cancer (CBC) and become a health problem. AIMS This study aimed to determine the effect of disease-free interval (DFI), risk factors and PBC characteristics on the progression of CBC within primary BC survivors. METHODS AND RESULTS This retrospective study identified 5003 women diagnosed with breast cancer between 2000 and 2020 in the cancer research center. The study included 145 CBC and 4858 PBC survivors, with CBC diagnosed at least 6 months after the detection of primary BC. ER+, PR+, and HER2+ were reported in 72.13%, 66.67%, and 30% of CBC patients. Invasive ductal carcinoma (IDC) BC was reported in 69.57% of patients, and 81.90% and 83.64% of the patients were treated with adjuvant chemotherapy and external radiotherapy. The Kaplan-Meier method indicated that the median time interval between PBC and CBC was 3.92 years, and the 5-year DFI was 97%. The Cox proportional hazard regression model indicated that although more than half of the participants had no family history of BC (69.57%), women 60 years and older were negatively associated with CBC. CONCLUSION This study provides the first investigation of CBC and DFI risk factors among PBC survivors in Iran. Age was found to be negatively associated with CBC development particularly after the age of 60, indicating the necessity of tracking CBC survivors carefully in this age group.
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Affiliation(s)
- Maryam Avatefi
- Cancer Research CenterShahid Beheshti University of Medical SciencesTehranIran
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2
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Hewitt DB, Li Y, Bhattacharyya O, Fisher JL, Stover D, Obeng-Gyasi S. Racial and Ethnic Disparities in Synchronous and Metachronous Bilateral Breast Cancer. J Racial Ethn Health Disparities 2023; 10:1035-1046. [PMID: 35386052 PMCID: PMC9535032 DOI: 10.1007/s40615-022-01291-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/11/2022] [Accepted: 03/18/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Significant racial and ethnic disparities exist in breast cancer treatment and survival. However, studies characterizing these disparities among patients developing bilateral breast cancers (BBC) are lacking. The purpose of this study is to understand the association between race and ethnicity, sociodemographic factors, clinical variables, treatment, and mortality in patients with BBC--synchronous bilateral breast cancer (sBBC) or metachronous bilateral breast cancer (mBBC). METHODS Patients diagnosed with mBBC or sBBC in the Surveillance, Epidemiology, and End Results program between 2010 and 2016 were examined. sBBC was defined as contralateral breast cancer <1 year after the initial cancer diagnosis, and mBBC was contralateral cancer ≥1 year. Univariable analysis examined sociodemographic, clinical, and treatment variables. Kaplan-Meier curves and Cox regression models evaluated disease-specific mortality. RESULTS Of the 11,493 patients that met inclusion criteria, 9575 (83.3%) had sBBC, and 1918 (16.7%) had mBBC. There were significant racial and ethnic differences in stage, tumor subtype, surgical management, and chemotherapy within sBBC and mBBC groups. On adjusted multivariate analysis of all BBC patients, Black race (HR 1.42; 95%CI 1.11-1.80; p<0.005; Ref White) was associated with a higher disease-specific mortality. Conversely, patients with mBBC had a 25% relative risk reduction in disease-specific mortality (HR 0.75; 95%CI 0.61-0.92; p<0.01) compared to sBBC. Subset analysis suggested Black Race modified the effect of sBBC on mortality (p<0.0001). CONCLUSIONS Among patients with BBC, there are racial and ethnic disparities in clinical characteristics, treatment, and mortality. Future studies should focus on strategies to reduce these disparities.
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Affiliation(s)
- D Brock Hewitt
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, N924 Doan Hall 410 West 10th, Columbus, OH, USA
| | - Yaming Li
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, N924 Doan Hall 410 West 10th, Columbus, OH, USA
| | - Oindrila Bhattacharyya
- Department of Economics, Indiana University Purdue University, Indianapolis, IN, USA
- The William Tierney Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, IN, USA
| | - James L Fisher
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Daniel Stover
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, N924 Doan Hall 410 West 10th, Columbus, OH, USA.
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3
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Chan DS, Vieira R, Abar L, Aune D, Balducci K, Cariolou M, Greenwood DC, Markozannes G, Nanu N, Becerra‐Tomás N, Giovannucci EL, Gunter MJ, Jackson AA, Kampman E, Lund V, Allen K, Brockton NT, Croker H, Katsikioti D, McGinley‐Gieser D, Mitrou P, Wiseman M, Cross AJ, Riboli E, Clinton SK, McTiernan A, Norat T, Tsilidis KK. Postdiagnosis body fatness, weight change and breast cancer prognosis: Global Cancer Update Program (CUP global) systematic literature review and meta-analysis. Int J Cancer 2023; 152:572-599. [PMID: 36279884 PMCID: PMC10092239 DOI: 10.1002/ijc.34322] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 07/29/2022] [Accepted: 09/05/2022] [Indexed: 02/01/2023]
Abstract
Previous evidence on postdiagnosis body fatness and mortality after breast cancer was graded as limited-suggestive. To evaluate the evidence on body mass index (BMI), waist circumference, waist-hip-ratio and weight change in relation to breast cancer prognosis, an updated systematic review was conducted. PubMed and Embase were searched for relevant studies published up to 31 October, 2021. Random-effects meta-analyses were conducted to estimate summary relative risks (RRs). The evidence was judged by an independent Expert Panel using pre-defined grading criteria. One randomized controlled trial and 225 observational studies were reviewed (220 publications). There was strong evidence (likelihood of causality: probable) that higher postdiagnosis BMI was associated with increased all-cause mortality (64 studies, 32 507 deaths), breast cancer-specific mortality (39 studies, 14 106 deaths) and second primary breast cancer (11 studies, 5248 events). The respective summary RRs and 95% confidence intervals per 5 kg/m2 BMI were 1.07 (1.05-1.10), 1.10 (1.06-1.14) and 1.14 (1.04-1.26), with high between-study heterogeneity (I2 = 56%, 60%, 66%), but generally consistent positive associations. Positive associations were also observed for waist circumference, waist-hip-ratio and all-cause and breast cancer-specific mortality. There was limited-suggestive evidence that postdiagnosis BMI was associated with higher risk of recurrence, nonbreast cancer deaths and cardiovascular deaths. The evidence for postdiagnosis (unexplained) weight or BMI change and all outcomes was graded as limited-no conclusion. The RCT showed potential beneficial effect of intentional weight loss on disease-free-survival, but more intervention trials and well-designed observational studies in diverse populations are needed to elucidate the impact of body composition and their changes on breast cancer outcomes.
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Affiliation(s)
- Doris S.M. Chan
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Rita Vieira
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Leila Abar
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Dagfinn Aune
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of NutritionBjørknes University CollegeOsloNorway
- Department of Endocrinology, Morbid Obesity and Preventive MedicineOslo University HospitalOsloNorway
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
| | - Katia Balducci
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Margarita Cariolou
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Darren C. Greenwood
- Leeds Institute for Data Analytics, Faculty of Medicine and HealthUniversity of LeedsLeedsUK
| | - Georgios Markozannes
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina Medical SchoolIoanninaGreece
| | - Neesha Nanu
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Nerea Becerra‐Tomás
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Edward L. Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of Nutrition, Harvard T. H. Chan School of Public HealthBostonMassachusettsUSA
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on CancerLyonFrance
| | - Alan A. Jackson
- Faculty of Medicine, School of Human Development and HealthUniversity of SouthamptonSouthamptonUK
- National Institute of Health Research Cancer and Nutrition CollaborationSouthamptonUK
| | - Ellen Kampman
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Vivien Lund
- World Cancer Research Fund InternationalLondonUK
| | - Kate Allen
- World Cancer Research Fund InternationalLondonUK
| | | | - Helen Croker
- World Cancer Research Fund InternationalLondonUK
| | | | | | | | | | - Amanda J. Cross
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Elio Riboli
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Steven K. Clinton
- Division of Medical Oncology, The Department of Internal MedicineCollege of Medicine and Ohio State University Comprehensive Cancer Center, Ohio State UniversityColumbusOhioUSA
| | - Anne McTiernan
- Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Teresa Norat
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- World Cancer Research Fund InternationalLondonUK
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina Medical SchoolIoanninaGreece
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Watt GP, Knight JA, Lin C, Lynch CF, Malone KE, John EM, Bernstein L, Brooks JD, Reiner AS, Liang X, Woods M, Nguyen TL, Hopper JL, Pike MC, Bernstein JL. Mammographic texture features associated with contralateral breast cancer in the WECARE Study. NPJ Breast Cancer 2021; 7:146. [PMID: 34845211 PMCID: PMC8630158 DOI: 10.1038/s41523-021-00354-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 11/01/2021] [Indexed: 01/12/2023] Open
Abstract
To evaluate whether mammographic texture features were associated with second primary contralateral breast cancer (CBC) risk, we created a "texture risk score" using pre-treatment mammograms in a case-control study of 212 women with CBC and 223 controls with unilateral breast cancer. The texture risk score was associated with CBC (odds per adjusted standard deviation = 1.25, 95% CI 1.01-1.56) after adjustment for mammographic percent density and confounders. These results support the potential of texture features for CBC risk assessment of breast cancer survivors.
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Affiliation(s)
- Gordon P. Watt
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Julia A. Knight
- grid.250674.20000 0004 0626 6184Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Division of Epidemiology, Dalla Lana School of Public Health, Toronto, ON Canada
| | - Christine Lin
- grid.240473.60000 0004 0543 9901Penn State College of Medicine, Hershey, PA USA
| | - Charles F. Lynch
- grid.214572.70000 0004 1936 8294 Department of Epidemiology, University of Iowa, Iowa City, IA USA
| | - Kathleen E. Malone
- grid.270240.30000 0001 2180 1622Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Esther M. John
- grid.168010.e0000000419368956Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Leslie Bernstein
- grid.410425.60000 0004 0421 8357Beckman Research Institute, City of Hope National Medical Center, Duarte, CA USA
| | - Jennifer D. Brooks
- grid.17063.330000 0001 2157 2938Division of Epidemiology, Dalla Lana School of Public Health, Toronto, ON Canada
| | - Anne S. Reiner
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Xiaolin Liang
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Meghan Woods
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Tuong L. Nguyen
- grid.1008.90000 0001 2179 088XMelbourne School of Population and Global Health, University of Melbourne, Parkville, VIC Australia
| | - John L. Hopper
- grid.1008.90000 0001 2179 088XMelbourne School of Population and Global Health, University of Melbourne, Parkville, VIC Australia
| | - Malcolm C. Pike
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Jonine L. Bernstein
- grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA
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Hu MJ, Zhao HH, Li GA, Zhang HS, He JL, Huang F. Body mass index and weight gain after middle adulthood are associated with risk of papillary thyroid cancer: A case-control study. Cancer Epidemiol 2021; 75:102039. [PMID: 34562748 DOI: 10.1016/j.canep.2021.102039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/18/2021] [Accepted: 09/09/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND It is unclear whether weight change after middle adulthood influences the risk of thyroid cancer. The aim of this study was to investigate associations between the risk of papillary thyroid cancer (PTC) and body mass index (BMI) and weight change after middle adulthood (age 35). METHODS A matched case-control study based on three hospitals included 516 pairs of cases newly diagnosed with PTC and controls. Current height and weight after defecation in the morning were measured by trained nurses. During measurement, all subjects were requested to wear lightweight clothing and no shoes. Weight at age 35 was self-reported. BMI and weight change were modeled as continuous and categorical variables. Conditional and unconditional logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95%CI) for the association between BMI and weight change after middle adulthood and PTC. RESULTS After adjustment for covariates, measured BMI at the time of current diagnosis was positively associated with PTC (OR 1.16, 95%CI 1.10-1.21). According to WHO BMI guidelines for Asia-Pacific populations, the OR (95%CI) for PTC risk in obesity was 2.99 (1.92-4.67) compared to normal weight (p-trend <0.001). Moreover, PTC was positively associated with BMI at age 35; the OR (95%CI) for PTC risk per unit increase in BMI was 1.06 (1.02-1.11). Compared to stable weight (changed <0.5 kg/year), weight gain ≥1.0 kg/year after middle adulthood was positively associated with PTC (OR 2.57, 95%CI 1.39-4.76, p-trend <0.001). Compared to maintaining non-overweight status, the PTC risk was significantly increased in those individuals who gained weight and became overweight after middle adulthood (OR 3.82, 95%CI 2.50-5.85). CONCLUSION This study showed that high BMI and obesity were positively associated with increased risk of PTC, and weight gain after middle adulthood also could elevate the PTC risk.
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Affiliation(s)
- Ming-Jun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China
| | - Huan-Huan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China
| | - Guo-Ao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China
| | - Han-Shuang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China
| | - Jia-Liu He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230000, Anhui, China; Laboratory for Environmental Toxicology, Anhui Medical University, Hefei 230032, Anhui, China.
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Giannakeas V, Lim DW, Narod SA. The risk of contralateral breast cancer: a SEER-based analysis. Br J Cancer 2021; 125:601-610. [PMID: 34040177 PMCID: PMC8368197 DOI: 10.1038/s41416-021-01417-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/26/2021] [Accepted: 04/22/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND We sought to estimate the annual risk and 25-year cumulative risk of contralateral breast cancer among women with stage 0-III unilateral breast cancer. METHODS We identified 812,851 women with unilateral breast cancer diagnosed between 1990 and 2015 in the SEER database and followed them for contralateral breast cancer for up to 25 years. Women with a known bilateral mastectomy were excluded. We calculated the annual risk of contralateral breast cancer by age at diagnosis, by time since diagnosis and by current age. We compared risks by ductal carcinoma in situ (DCIS) versus invasive disease, by race and by oestrogen receptor (ER) status of the first cancer. RESULTS There were 25,958 cases of contralateral invasive breast cancer diagnosed (3.2% of all patients). The annual risk of contralateral breast cancer over the 25-year follow-up period was 0.37% and the 25-year actuarial risk of contralateral invasive breast cancer was 9.9%. The annual risk varied to a small degree by age of diagnosis, by time elapsed since diagnosis and by current age. The 25-year actuarial risk was similar for DCIS and invasive breast cancer patients (10.1 versus 9.9%). The 25-year actuarial risk was higher for black women (12.7%) than for white women (9.7%) and was lower for women with ER-positive breast cancer (9.5%) than for women with ER-negative breast cancer (11.2%). CONCLUSIONS Women with unilateral breast cancer experience an annual risk of contralateral breast cancer ~0.4% per year, which persists over the 25-year follow-up period.
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MESH Headings
- Adult
- Age Factors
- Aged
- Aged, 80 and over
- Breast Neoplasms/epidemiology
- Breast Neoplasms/metabolism
- Breast Neoplasms/pathology
- Carcinoma, Ductal, Breast/epidemiology
- Carcinoma, Ductal, Breast/metabolism
- Carcinoma, Ductal, Breast/pathology
- Female
- Humans
- Middle Aged
- Neoplasm Staging
- Neoplasms, Second Primary/epidemiology
- Neoplasms, Second Primary/metabolism
- Neoplasms, Second Primary/pathology
- Receptors, Estrogen/metabolism
- Risk Factors
- SEER Program
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Affiliation(s)
- Vasily Giannakeas
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
| | - David W Lim
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Steven A Narod
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada.
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
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Sung H, Freedman RA, Siegel RL, Hyun N, DeSantis CE, Ruddy KJ, Jemal A. Risks of subsequent primary cancers among breast cancer survivors according to hormone receptor status. Cancer 2021; 127:3310-3324. [PMID: 34002851 DOI: 10.1002/cncr.33602] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/01/2021] [Accepted: 03/25/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND This study was aimed at examining the risks of subsequent primary cancers (SPCs) among breast cancer survivors by hormone receptor (HR) status and age at diagnosis. METHODS Data from 12 Surveillance, Epidemiology, and End Results registries were used to identify 431,222 breast cancer survivors (at least 1 year) diagnosed between the ages of 20 and 84 years from 1992 to 2015. Risks of SPCs were measured as the standardized incidence ratio (SIR) and the excess absolute risk (EAR) per 10,000 person-years. Poisson regression was used to test the difference in SIRs by HR status. RESULTS In comparison with the general population, the risk of new cancer diagnoses among survivors was 20% higher for those with HR-positive cancers (SIR, 1.20; 95% confidence interval [CI], 1.19-1.21; EAR, 23.3/10,000 person-years) and 44% higher for those with HR-negative cancers (SIR, 1.44; 95% CI, 1.41-1.47; EAR, 45.2/10,000 person-years), with the risk difference between HR statuses statistically significant. The higher risk after HR-negative cancer was driven by acute nonlymphocytic leukemia and breast, ovarian, peritoneal, and lung cancers. By age at diagnosis, the total EAR per 10,000 person-years ranged from 15.8 (95% CI, 14.1-17.5; SIR, 1.11) among late-onset (age, 50-84 years) HR-positive survivors to 69.4 (95% CI, 65.1-73.7; SIR, 2.24) among early-onset (age, 20-49 years) HR-negative survivors, with subsequent breast cancer representing 73% to 80% of the total EAR. After breast cancer, the greatest EARs were for ovarian cancer among early-onset HR-negative survivors, lung cancer among early- and late-onset HR-negative survivors, and uterine corpus cancer among late-onset HR-positive survivors. CONCLUSIONS Risks of SPCs after breast cancer differ substantially by subtype and age. This suggests that more targeted approaches for cancer prevention and early-detection strategies are needed in survivorship care planning.
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Affiliation(s)
- Hyuna Sung
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia
| | - Rachel A Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rebecca L Siegel
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia
| | - Noorie Hyun
- Institute for Health and Equity, Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Carol E DeSantis
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.,CDC Foundation, Atlanta, Georgia
| | | | - Ahmedin Jemal
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia
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Ramin C, Mullooly M, Schonfeld SJ, Advani PG, Bodelon C, Gierach GL, Berrington de González A. Risk factors for contralateral breast cancer in postmenopausal breast cancer survivors in the NIH-AARP Diet and Health Study. Cancer Causes Control 2021; 32:803-813. [PMID: 33877513 DOI: 10.1007/s10552-021-01432-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE The role of established breast cancer risk factors and clinical characteristics of the first breast cancer in the development of contralateral breast cancer (CBC) among postmenopausal women is unclear. METHODS We identified 10,934 postmenopausal women diagnosed with a first primary breast cancer between 1995 and 2011 in the NIH-AARP Diet and Health Study. CBC was defined as a second primary breast cancer diagnosed in the contralateral breast ≥ 3 months after the first breast cancer. Exposures included pre-diagnosis risk factors (lifestyle, reproductive, family history) and clinical characteristics of the first breast cancer. We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Over a median follow-up of 6.8 years, 436 women developed CBC. We observed an increasing trend in CBC risk by age (p-trend = 0.002) and decreasing trend by year of diagnosis (p-trend = 0.001) of the first breast cancer. Additional risk factor associations were most pronounced for endocrine therapy (HR 0.68, 95% CI 0.53-0.87) and family history of breast cancer (HR 1.38, 95% CI 1.06-1.80, restricted to invasive first breast cancer). No associations were found for lifestyle (body mass index, physical activity, smoking, alcohol) or reproductive factors (age at menarche, parity, age at first birth, age at menopause). CONCLUSIONS This study suggests that clinical characteristics of the first breast cancer and family history of breast cancer, but not pre-diagnosis lifestyle and reproductive factors, are strongly associated with CBC risk among postmenopausal women. Future studies are needed to understand how these factors contribute to CBC etiology and to identify further opportunities for prevention.
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Affiliation(s)
- Cody Ramin
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pragati G Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clara Bodelon
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy Berrington de González
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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9
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Watt GP, John EM, Bandera EV, Malone KE, Lynch CF, Palmer JR, Knight JA, Troester MA, Bernstein JL. Race, ethnicity and risk of second primary contralateral breast cancer in the United States. Int J Cancer 2021; 148:2748-2758. [PMID: 33544892 DOI: 10.1002/ijc.33501] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 01/19/2023]
Abstract
Breast cancer survivors have a high risk of a second primary contralateral breast cancer (CBC), but there are few studies of CBC risk in racial/ethnic minority populations. We examined whether the incidence and risk factors for CBC differed by race/ethnicity in the United States. Women with a first invasive Stage I-IIB breast cancer diagnosis at ages 20-74 years between 2000 and 2015 in the Surveillance, Epidemiology, and End Results Program (SEER) 18 registries were followed through 2016 for a diagnosis of invasive CBC ≥1 year after the first breast cancer diagnosis. We used cause-specific Cox proportional hazards models to test the association between race/ethnicity and CBC, adjusting for age, hormone receptor status, radiation therapy, chemotherapy and stage at first diagnosis, and evaluated the impact of contralateral prophylactic mastectomy, socioeconomic status, and insurance status on the association. After a median follow-up of 5.9 years, 9247 women (2.0%) were diagnosed with CBC. Relative to non-Hispanic (NH) White women, CBC risk was increased in NH Black women (hazard ratio = 1.44, 95% CI 1.35-1.54) and Hispanic women (1.11, 95% CI 1.02-1.20), with the largest differences among women diagnosed at younger ages. Adjustment for contralateral prophylactic mastectomy, socioeconomic status and health insurance did not explain the associations. Therefore, non-Hispanic Black and Hispanic women have an increased risk of CBC that is not explained by clinical or socioeconomic factors collected in SEER. Large studies of diverse breast cancer survivors with detailed data on treatment delivery and adherence are needed to inform interventions to reduce this disparity.
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Affiliation(s)
- Gordon P Watt
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Kathleen E Malone
- Epidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Julie R Palmer
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Julia A Knight
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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A case-control study of the joint effect of reproductive factors and radiation treatment for first breast cancer and risk of contralateral breast cancer in the WECARE study. Breast 2020; 54:62-69. [PMID: 32927238 PMCID: PMC7494790 DOI: 10.1016/j.breast.2020.07.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/27/2020] [Accepted: 07/24/2020] [Indexed: 11/23/2022] Open
Abstract
Objective To examined the impact of reproductive factors on the relationship between radiation treatment (RT) for a first breast cancer and risk of contralateral breast cancer (CBC). Methods The Women’s Environmental Cancer and Radiation Epidemiology (WECARE) Study is a multi-center, population-based case-control study where cases are women with asynchronous CBC (N = 1521) and controls are women with unilateral breast cancer (N = 2211). Rate ratios (RR) and 95% confidence intervals (CI) were estimated using conditional logistic regression to assess the independent and joint effects of RT (ever/never and location-specific stray radiation dose to the contralateral breast [0, >0-<1Gy, ≥1Gy]) and reproductive factors (e.g., parity). Results Nulliparous women treated with RT (≥1Gy dose) were at increased risk of CBC compared with nulliparous women not treated with RT, although this relationship did not reach statistical significance (RR = 1.34, 95% CI 0.87, 2.07). Women treated with RT who had an interval pregnancy (i.e., pregnancy after first diagnosis and before second diagnosis [in cases]/reference date [in controls]) had an increased risk of CBC compared with those who had an interval pregnancy with no RT (RR = 4.60, 95% CI 1.16, 18.28). This was most apparent for women with higher radiation doses to the contralateral breast. Conclusion Among young female survivors of breast cancer, we found some evidence suggesting that having an interval pregnancy could increase a woman’s risk of CBC following RT for a first breast cancer. While sampling variability precludes strong interpretations, these findings suggest a role for pregnancy and hormonal factors in radiation-associated CBC. Radiation treatment is associated with increased contralateral breast cancer risk in some women. Reproductive status at the time of treatment may modify this relationship. Some evidence that pregnancy after radiation treatment increases contralateral breast cancer risk.
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The impact of lifestyle and reproductive factors on the risk of a second new primary cancer in the contralateral breast: a systematic review and meta-analysis. Cancer Causes Control 2020; 31:403-416. [PMID: 32130573 DOI: 10.1007/s10552-020-01284-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 02/18/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE The risk of being diagnosed with contralateral breast cancer (CBC) is an important health issue among breast cancer survivors. There is an increasing interest in the effect of lifestyle and reproductive factors on CBC risk, since these factors may partly be modifiable. We performed a systematic review and meta-analysis and aimed to evaluate the impact of lifestyle and reproductive factors on CBC risk in population-based breast cancer studies. METHODS The PubMed electronic database was searched up to 2nd November 2019, for relevant publications. Of the included studies, a meta-analysis per lifestyle or reproductive factor was performed. RESULTS Thirteen out of 784 publications were used for the meta-analysis. Body mass index (≥ 25 vs. < 25 kg/m2; RR = 1.22; 95% CI 1.01-1.47) was associated with increased CBC risk. The estimates for alcohol use (ever vs. never; RR = 1.15; 95% CI 1.02-1.31) and age at primiparity (≥ 25 vs. < 25 years; RR = 1.06; 95% CI 1.02-1.10) also showed an association with increased CBC risk. For parity (≥ 4 vs. nulliparous; RR = 0.56; 95% CI 0.42-0.76) and age at menopause (< 45 vs ≥ 45 years; RR = 0.79; 95% CI 0.67-0.93), results from two studies suggested a decreased CBC risk. We observed no association between CBC and smoking, age at menarche, oral contraceptive use, gravidity, breastfeeding, or menopausal status. Overall, the number of studies per risk factor was limited (n = 2-5). CONCLUSIONS BMI is a modifiable risk factor for CBC. Data on the effect of other modifiable lifestyle and reproductive factors are limited. For better counseling of patients on lifestyle effects, more studies are urgently needed.
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12
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Giardiello D, Steyerberg EW, Hauptmann M, Adank MA, Akdeniz D, Blomqvist C, Bojesen SE, Bolla MK, Brinkhuis M, Chang-Claude J, Czene K, Devilee P, Dunning AM, Easton DF, Eccles DM, Fasching PA, Figueroa J, Flyger H, García-Closas M, Haeberle L, Haiman CA, Hall P, Hamann U, Hopper JL, Jager A, Jakubowska A, Jung A, Keeman R, Kramer I, Lambrechts D, Le Marchand L, Lindblom A, Lubiński J, Manoochehri M, Mariani L, Nevanlinna H, Oldenburg HSA, Pelders S, Pharoah PDP, Shah M, Siesling S, Smit VTHBM, Southey MC, Tapper WJ, Tollenaar RAEM, van den Broek AJ, van Deurzen CHM, van Leeuwen FE, van Ongeval C, Van't Veer LJ, Wang Q, Wendt C, Westenend PJ, Hooning MJ, Schmidt MK. Prediction and clinical utility of a contralateral breast cancer risk model. Breast Cancer Res 2019; 21:144. [PMID: 31847907 PMCID: PMC6918633 DOI: 10.1186/s13058-019-1221-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 10/29/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Breast cancer survivors are at risk for contralateral breast cancer (CBC), with the consequent burden of further treatment and potentially less favorable prognosis. We aimed to develop and validate a CBC risk prediction model and evaluate its applicability for clinical decision-making. METHODS We included data of 132,756 invasive non-metastatic breast cancer patients from 20 studies with 4682 CBC events and a median follow-up of 8.8 years. We developed a multivariable Fine and Gray prediction model (PredictCBC-1A) including patient, primary tumor, and treatment characteristics and BRCA1/2 germline mutation status, accounting for the competing risks of death and distant metastasis. We also developed a model without BRCA1/2 mutation status (PredictCBC-1B) since this information was available for only 6% of patients and is routinely unavailable in the general breast cancer population. Prediction performance was evaluated using calibration and discrimination, calculated by a time-dependent area under the curve (AUC) at 5 and 10 years after diagnosis of primary breast cancer, and an internal-external cross-validation procedure. Decision curve analysis was performed to evaluate the net benefit of the model to quantify clinical utility. RESULTS In the multivariable model, BRCA1/2 germline mutation status, family history, and systemic adjuvant treatment showed the strongest associations with CBC risk. The AUC of PredictCBC-1A was 0.63 (95% prediction interval (PI) at 5 years, 0.52-0.74; at 10 years, 0.53-0.72). Calibration-in-the-large was -0.13 (95% PI: -1.62-1.37), and the calibration slope was 0.90 (95% PI: 0.73-1.08). The AUC of Predict-1B at 10 years was 0.59 (95% PI: 0.52-0.66); calibration was slightly lower. Decision curve analysis for preventive contralateral mastectomy showed potential clinical utility of PredictCBC-1A between thresholds of 4-10% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. CONCLUSIONS We developed a reasonably calibrated model to predict the risk of CBC in women of European-descent; however, prediction accuracy was moderate. Our model shows potential for improved risk counseling, but decision-making regarding contralateral preventive mastectomy, especially in the general breast cancer population where limited information of the mutation status in BRCA1/2 is available, remains challenging.
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Affiliation(s)
- Daniele Giardiello
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michael Hauptmann
- Institute of Biometry and Registry Research, Brandenburg Medical School, Neuruppin, Germany
- Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Muriel A Adank
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Family Cancer Clinic, Amsterdam, The Netherlands
| | - Delal Akdeniz
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mariël Brinkhuis
- East-Netherlands, Laboratory for Pathology, Hengelo, The Netherlands
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Diana M Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Peter A Fasching
- Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, David Geffen School of Medicine, Los Angeles, CA, USA
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, Edinburgh, UK
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Montserrat García-Closas
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Iris Kramer
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- University of Hawaii Cancer Center, Epidemiology Program, Honolulu, HI, USA
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Luigi Mariani
- Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Hester S A Oldenburg
- Department of Surgical Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Saskia Pelders
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Sabine Siesling
- Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Vincent T H B M Smit
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Alexandra J van den Broek
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Flora E van Leeuwen
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands
| | - Chantal van Ongeval
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Laura J Van't Veer
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | | | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
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Ekenga CC, Wang X, Pérez M, Schootman M, Jeffe DB. A Prospective Study of Weight Gain in Women Diagnosed with Early-Stage Invasive Breast Cancer, Ductal Carcinoma In Situ, and Women Without Breast Cancer. J Womens Health (Larchmt) 2019; 29:524-533. [PMID: 31460829 DOI: 10.1089/jwh.2018.7638] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background: Weight gain after breast cancer has been associated with recurrence and mortality. We therefore examined factors associated with ≥5% weight gain over 2-year follow-up of a cohort of newly diagnosed early-stage invasive breast cancer (EIBC) and ductal carcinoma in situ (DCIS) patients and age-matched controls without a breast cancer history. Materials and Methods: We interviewed participants 4-6 weeks after definitive surgical treatment (patients) or a negative/benign screening mammogram (controls). Multivariable logistic regression models were used to identify socioeconomic, psychosocial, and treatment factors associated with ≥5% weight gain over 2-year follow-up. Results: Overall, 88 (24%) of 362 EIBC patients, 31 (17%) of 178 DCIS patients, and 82 (15%) of 541 controls had ≥5% weight gain during follow-up. EIBC patients were more likely to experience ≥5% weight gain than DCIS patients (Odds ratio [OR] = 2.16; 95% confidence interval [95% CI] = 1.19-3.95) and controls (OR = 1.76; 95% CI = 1.23-2.51). Among EIBC patients, older patients (OR = 0.96; 95% CI = 0.93-0.99), patients who underwent endocrine therapy (OR = 0.43; 95% CI = 0.19-0.95), smokers (OR = 0.35; 95% CI = 0.14-0.86), and African Americans (OR = 0.23; 95% CI = 0.09-0.58) were less likely to have ≥5% weight gain than their respective counterparts. Among DCIS patients, older patients (OR = 0.94; 95% CI = 0.89-0.99) were less likely to have ≥5% weight gain. Among controls, smokers were more likely to have ≥5% weight gain (OR = 3.03; 95% CI = 1.49-6.17). Conclusions: EIBC patients were more likely than DCIS patients and controls to experience ≥5% weight gain over follow-up. Studies are necessary to elucidate mechanisms of weight gain in early-stage breast cancer survivors.
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Affiliation(s)
| | - Xiaoyan Wang
- Brown School, Washington University in St. Louis, St. Louis, Missouri
| | - Maria Pérez
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Mario Schootman
- Department of Clinical Analytics and Insight, Center for Clinical Excellence, SSM Health, St. Louis, Missouri
| | - Donna B Jeffe
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
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Survival and chemotherapy-related risk of second primary malignancy in breast cancer patients: a SEER-based study. Int J Clin Oncol 2019; 24:934-940. [PMID: 30888527 DOI: 10.1007/s10147-019-01430-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 03/14/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND With the improvement in the survival of breast cancer, developing second primary malignancy becomes a serious health issue. The aim of this study was to explore the survival of breast cancer patients with second primary malignancy, and to evaluate the impact of chemotherapy on the risk of different cancer sites. METHOD Obtaining data from the Surveillance, Epidemiology, and End Results database, we calculated the standardized incidence ratio (SIR) for second primary malignancy in breast cancer survivors between 2000 and 2014. Overall survival and cancer-specific survival were analyzed with Kaplan-Meier method. Then, we further conducted stratified sub-analyses according to chemotherapy. RESULTS The overall risk of second primary cancer for all sites was significantly elevated in breast cancer patients (SIR = 1.15, 95% CI 1.14-1.16). Overall survival and cancer-specific survival of the patients with breast cancer only were significantly better than the patients with multiple primary cancers (both P < 0.001). Chemotherapy was associated with increased incidences for all sites, except lymphoma, myeloma, and chronic lymphocytic leukemia (SIR = 0.80, 95% CI 0.72-0.88; SIR = 0.85, 95% CI 0.71-1.01; SIR = 0.57, 95% CI 0.43-0.74, respectively). The risk for developing second acute myeloid leukemia after chemotherapy in breast cancer patients varied with age and latency. CONCLUSION Female breast cancer patients showed higher incidence of second primary malignancy, which was associated with poorer prognosis. Chemotherapy benefits should be weighed against the risks of second primary malignancy.
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Brooks JD, Comen EA, Reiner AS, Orlow I, Leong SF, Liang X, Mellemkjær L, Knight JA, Lynch CF, John EM, Bernstein L, Woods M, Doody DR, Malone KE, Bernstein JL. CYP2D6 phenotype, tamoxifen, and risk of contralateral breast cancer in the WECARE Study. Breast Cancer Res 2018; 20:149. [PMID: 30526633 PMCID: PMC6288916 DOI: 10.1186/s13058-018-1083-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Tamoxifen treatment greatly reduces a woman's risk of developing a second primary breast cancer. There is, however, substantial variability in treatment response, some of which may be attributed to germline genetic variation. CYP2D6 is a key enzyme in the metabolism of tamoxifen to its active metabolites, and variants in this gene have been associated with reduced tamoxifen metabolism. The impact of variation on risk of contralateral breast cancer (CBC) is unknown. METHODS Germline DNA from 1514 CBC cases and 2203 unilateral breast cancer controls was genotyped for seven single nucleotide polymorphisms, one three-nucleotide insertion-deletion, and a full gene deletion. Each variant has an expected impact on enzyme activity, which in combination allows for the classification of women as extensive, intermediate, and poor metabolizers (EM, IM, and PM respectively). Each woman was assigned one of six possible diplotypes and a corresponding CYP2D6 activity score (AS): EM/EM (AS = 2), EM/IM (AS = 1.5), EM/PM (AS = 1), IM/IM (AS = 0.75), IM/PM (AS = 0.5), and PM/PM (AS = 0). We also collapsed categories of the AS to generate an overall phenotype (EM, AS ≥ 1; IM, AS = 0.5-0.75; PM, AS = 0). Rate ratios (RRs) and 95% confidence intervals (CIs) for the association between tamoxifen treatment and risk of CBC in our study population were estimated using conditional logistic regression, stratified by AS. RESULTS Among women with AS ≥ 1 (i.e., EM), tamoxifen treatment was associated with a 20-55% reduced RR of CBC (AS = 2, RR = - 0.81, 95% CI 0.62-1.06; AS = 1.5, RR = 0.45, 95% CI 0.30-0.68; and AS = 1, RR = 0.55, 95% CI 0.40-0.74). Among women with no EM alleles and at least one PM allele (i.e., IM and PM), tamoxifen did not appear to impact the RR of CBC in this population (AS = 0.5, RR = 1.08, 95% CI 0.59-1.96; and AS = 0, RR = 1.17, 95% CI 0.58-2.35) (p for homogeneity = - 0.02). CONCLUSION This study suggests that the CYP2D6 phenotype may contribute to some of the observed variability in the impact of tamoxifen treatment for a first breast cancer on risk of developing CBC.
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Affiliation(s)
- Jennifer D. Brooks
- University of Toronto, Dalla Lana School of Public Health Sciences, 155 College St. HSB 676, Toronto, ON M5T 3M7 Canada
| | | | - Anne S. Reiner
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Irene Orlow
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Siok F. Leong
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Xiaolin Liang
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | | | - Julia A. Knight
- University of Toronto, Dalla Lana School of Public Health Sciences, 155 College St. HSB 676, Toronto, ON M5T 3M7 Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | | | - Esther M. John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Leslie Bernstein
- Beckman Research Institute, City of Hope National Medical Centre, Duarte, CA USA
| | - Meghan Woods
- Memorial Sloan Kettering Cancer Center, New York, NY USA
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Horakova D, Bouchalova K, Cwiertka K, Stepanek L, Vlckova J, Kollarova H. Risks and protective factors for triple negative breast cancer with a focus on micronutrients and infections. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2018; 162:83-89. [PMID: 29765171 DOI: 10.5507/bp.2018.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 03/27/2018] [Indexed: 12/21/2022] Open
Abstract
Triple negative breast cancer (TNBC) is an aggressive form of breast cancer (BC) with a poor prognosis. Second, patients cannot benefit from targeted therapy, except for those with BRCA1/2 mutations, for whom poly (ADP-ribose) polymerase (PARP) inhibition therapy using olaparib has recently been approved. As global priorities continue to be epidemiological analysis of BC risk factors and early diagnosis, this review focuses on the risks and protective factors associated with TNBC. A PubMed keyword search for new knowledge on the risks and protective factors for TNBC was carried out. We also found statistical information from current online databases concerning the estimated incidence, prevalence and mortality worldwide of this cancer. Traditional risk factors for BC and TNBC are those related to reproduction such as the age of menarche, age of first birth, parity, breastfeeding and age at menopause. Attention needs to be paid to familial BC, weight control, alcohol consumption and regular physical activity. Epidemiological studies on TNBC provide evidence for protective factors such as regular consumption of soya, seafood, green tea, folic acid and vitamin D. Potential risk factors may include night work and viral infectious agents like human papillomavirus (HPV) and Epstein-Barr virus (EBV). Droplet digital methylation-specific PCR (ddMSP) is a possible new screening method for detection of BC including TNBC. Further research is necessary to validate these new factors.
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Affiliation(s)
- Dagmar Horakova
- Department of Preventive Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Katerina Bouchalova
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.,Department of Pediatrics, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Czech Republic
| | - Karel Cwiertka
- Department of Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Czech Republic
| | - Ladislav Stepanek
- Department of Preventive Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Jana Vlckova
- Department of Preventive Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Helena Kollarova
- Department of Preventive Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
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The Impact of Autologous Breast Reconstruction on Body Mass Index Patterns in Breast Cancer Patients. Plast Reconstr Surg 2017; 140:1121-1131. [DOI: 10.1097/prs.0000000000003841] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Brooks JD, John EM, Mellemkjaer L, Lynch CF, Knight JA, Malone KE, Reiner AS, Bernstein L, Liang X, Shore RE, Stovall M, Bernstein JL. Body mass index, weight change, and risk of second primary breast cancer in the WECARE study: influence of estrogen receptor status of the first breast cancer. Cancer Med 2016; 5:3282-3291. [PMID: 27700016 PMCID: PMC5119984 DOI: 10.1002/cam4.890] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 07/12/2016] [Accepted: 08/10/2016] [Indexed: 12/03/2022] Open
Abstract
Studies examining the relationship between body mass index (BMI) and risk of contralateral breast cancer (CBC) have reported mixed findings. We previously showed that obese postmenopausal women with estrogen receptor (ER)‐negative breast cancer have a fivefold higher risk of CBC compared with normal weight women. In the current analysis, we reexamined this relationship in the expanded Women's Environmental Cancer and Radiation Epidemiology (WECARE) Study, focusing on the impact of menopausal status and ER status of the first breast cancer. The WECARE Study is a population‐based case–control study of young women with CBC (cases, N = 1386) and with unilateral breast cancer (controls, N = 2045). Rate ratios (RR) and 95% confidence intervals (CI) were calculated to assess the relationship between BMI and risk of CBC stratified by menopausal and ER status. Positive associations with obesity and weight gain were limited to women who became postmenopausal following their first primary breast cancer. Among those with an ER‐negative first breast cancer, obesity (vs. normal weight) at first diagnosis was associated with an increased risk of CBC (RR = 1.9, 95% CI: 1.02, 3.4). Also, weight gain of ≥10 kg after first diagnosis was associated with an almost twofold increased risk of CBC (RR = 1.9, 95% CI: 0.99, 3.8). These results suggest that women with an ER‐negative first primary cancer who are obese at first primary diagnosis or who experience a large weight gain afterward may benefit from heightened surveillance. Future studies are needed to address the impact of weight loss interventions on risk of CBC.
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Affiliation(s)
- Jennifer D Brooks
- University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, Canada
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, California.,Department of Health Research and Policy (Epidemiology), Stanford University School of Medicine, Stanford, California
| | | | | | - Julia A Knight
- University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, Canada.,Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | | | - Anne S Reiner
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Leslie Bernstein
- Beckman Research Institute, City of Hope National Medical Center, Duarte, California
| | - Xiaolin Liang
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Roy E Shore
- Department of Population Health, New York University School of Medicine, New York, New York
| | - Marilyn Stovall
- The University of Texas MD Anderson Cancer Center, Houston, Texas
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