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Liu J, Qu Y, Zhao Y, Liang F, Ji L, Wang Z, Li J, Zang Z, Huang H, Zhang J, Gu W, Dai L, Yang R. CCDC12 gene methylation in peripheral blood as a potential biomarker for breast cancer detection. Biomarkers 2024; 29:265-275. [PMID: 38776382 DOI: 10.1080/1354750x.2024.2358302] [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: 03/12/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Aberrant DNA methylation has been identified as biomarkers for breast cancer detection. Coiled-coil domain containing 12 gene (CCDC12) implicated in tumorigenesis. This study aims to investigate the potential of blood-based CCDC12 methylation for breast cancer detection. METHODS DNA methylation level of CpG sites (Cytosine-phosphate Guanine dinucleotides) in CCDC12 gene was measured by mass spectrometry in 255 breast cancer patients, 155 patients with benign breast nodules and 302 healthy controls. The association between CCDC12 methylation and breast cancer risk was evaluated by logistic regression and receiver operating characteristic curve analysis. RESULTS A total of eleven CpG sites were analyzed. The CCDC12 methylation levels were higher in breast cancer patients. Compared to the lowest tertile of methylation level in CpG_6,7, CpG_10 and CpG_11, the highest quartile was associated with 82, 91 and 95% increased breast cancer risk, respectively. The CCDC12 methylation levels were associated with estrogen receptor (ER) and human epidermal growth factor 2 (HER2) status. In ER-negative and HER2-positive (ER-/HER2+) breast cancer subtype, the combination of four sites CpG_2, CpG_5, CpG_6,7 and CpG_11 methylation levels could distinguish ER-/HER2+ breast cancer from the controls (AUC = 0.727). CONCLUSION The hypermethylation levels of CCDC12 in peripheral blood could be used for breast cancer detection.
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Affiliation(s)
- Jingjing Liu
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Yunhui Qu
- Department of Clinical Laboratory in the First Affiliated Hospital & Key Clinical Laboratory of Henan Province, Zhengzhou University, Zhengzhou, Henan, China
| | - Yutong Zhao
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Feifei Liang
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Longtao Ji
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Zhi Wang
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Jinyu Li
- Department of Otology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Zishan Zang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haixia Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jie Zhang
- Department of Clinical Laboratory, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Wanjian Gu
- Department of Clinical Laboratory, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Rongxi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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Zhao XR, Tang Y, Wu HF, Guo QS, Zhang YJ, Shi M, Cheng J, Wang HM, Liu M, Ma CY, Wen G, Wang XH, Fang H, Jing H, Song YW, Jin J, Liu YP, Chen B, Qi SN, Li N, Tang Y, Lu NN, Zhang N, Li YX, Wang SL. Influence of age as a continuous variable on the prognosis of patients with pT1-2N1 breast cancer. Breast 2022; 66:136-144. [PMID: 36270084 PMCID: PMC9587343 DOI: 10.1016/j.breast.2022.08.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/31/2022] [Accepted: 08/10/2022] [Indexed: 12/27/2022] Open
Abstract
PURPOSE To assess the influence of age as a continuous variable on the prognosis of pT1-2N1 breast cancer and examine its decision-making value for postmastectomy radiotherapy (PMRT). METHODS We retrospectively evaluated 5438 patients with pT1-2N1 breast cancer after mastectomy in 11 hospitals. A multivariable Cox proportional hazards regression model with penalized splines was used to examine the relationship between age and oncologic outcomes. RESULTS The median follow-up was 67.0 months. After adjustments for confounding characteristics, nonsignificant downward trend in locoregional recurrence (LRR) risk was observed with increasing age (P-non-linear association = 0.640; P-linear association = 0.078). A significant non-linear association was found between age and disease-free survival (DFS) and overall survival (OS) (P-non-linear association <0.05; P-linear association >0.05, respectively). The DFS and OS exhibited U-shaped relationships, with the hazard ratios (HRs), reaching a nadir at 50 years old. A decreased risk of LRR with PMRT vs. no PMRT (HR = 0.304, 95% CI: 0.204-0.454) was maintained in all ages. The HR of PMRT vs. no PMRT for DFS and OS gradually increased with age. In patients ≤50 years old, PMRT was independently associated with favorable LRR, DFS, and OS, all P < 0.05). In patients >50 years old, PMRT was independently associated with reduced LRR (P = 0.004), but had no effect on DFS or OS. CONCLUSIONS Age was an independent prognostic factor for pT1-2N1 breast cancer; PMRT provided survival benefits for patients ≤50 years old, but not for patients >50 years old.
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Affiliation(s)
- Xu-Ran Zhao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yu Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hong-Fen Wu
- Department of Radiation Oncology, Jilin Cancer Hospital, Changchun, China
| | - Qi-Shuai Guo
- Department of Radiation Oncology, Affiliated Cancer Hospital of Chongqing University, Chongqing, China
| | - Yu-Jing Zhang
- Department of Radiation Oncology, Sun Yat-sen University Affiliated Tumor Hospital, Guangzhou, China
| | - Mei Shi
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jing Cheng
- Department of Breast Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong-Mei Wang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Min Liu
- Department of Radiation Oncology, First Hospital of Jilin University, Changchun, China
| | - Chang-Ying Ma
- Department of Radiation Oncology, First Hospital of Qiqihaer, Qiqihaer, China
| | - Ge Wen
- Department of Radiation Oncology, Sun Yat-sen University Affiliated Tumor Hospital, Guangzhou, China,Department of Radiation Oncology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiao-hu Wang
- Department of Radiation Oncology, Gansu Cancer Hospital, Lanzhou, China
| | - Hui Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hao Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yong-Wen Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jing Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yue-Ping Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bo Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shu-Nan Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ning Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yuan Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ning-Ning Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Na Zhang
- Department of Radiation Oncology, Liaoning Cancer Hospital, Shenyang, China,Corresponding author.
| | - Ye-Xiong Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China,Corresponding author.
| | - Shu-Lian Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China,Corresponding author.
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Shah A, Haider G, Abro N, Bhutto S, Baqai TI, Akhtar S, Abbas K. Correlation Between Age and Hormone Receptor Status in Women With Breast Cancer. Cureus 2022; 14:e21652. [PMID: 35242457 PMCID: PMC8884467 DOI: 10.7759/cureus.21652] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction Breast cancer is a leading cause of death among women. This study aimed to evaluate the association between age and hormonal receptor status (HRS) in women with breast cancer presented at a public hospital in Karachi, Pakistan. Methods A cross-sectional study was conducted at the Department of Medical Oncology, Jinnah Postgraduate Medical Center (JPMC), Karachi, Pakistan, from January 2021 to August 2021. All women of age more than 18 years with a confirmed diagnosis of breast cancer were included in the study using non-random consecutive sampling techniques. Women who underwent artificial menopause or hysterectomy, women who had chemotherapy-induced menopause, and pregnant women were excluded from the study. Data were collected from all patients regarding socio-demographics and tumor characteristics. Immunohistochemistry (IHC) was performed to evaluate the status of hormonal receptors. Results The mean age at the time of presentation of females with breast cancer was 46.57±11.45 years. Among 317 females, 180 females had positive estrogen receptor (ER) expression (56.8%), 173 had positive progesterone receptor (PR) expression (54.6%), and 121 had positive human epidermal growth factor receptor 2 (HER2/neu) expression (38.2%). The highest proportions of positive ER (36.7%), PR (38.2%), and HER/2 neu (37.2%) expression were observed in the age group 41-50 years, respectively. There was a statistically significant association between age and ER expression (p=0.017) and age and PR expression (p=0.003) while no association was found between age and HER/2 neu expression (p=0.335). Conclusion The present study indicated that the majority of the patients were diagnosed with breast cancer in their 40s. Most of the women in the younger age groups were estrogen receptor (ER), progesterone receptor (PR), and HER2/neu negative while the older aged women were more frequently ER, PR, and HER2/neu positive albeit, the association between age or HER2/neu was not significant. In short, we can expect that the older aged patients may have better survival rates and patient prognosis. However, this is just a conjecture and further large-scale, multicenter, and long-term studies are required to understand the true relationship between age and patient survival rates. We hope that the current study will serve as a catalyst for future breast-cancer related studies.
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Coughlin SS. Epidemiology of Breast Cancer in Women. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1152:9-29. [PMID: 31456177 DOI: 10.1007/978-3-030-20301-6_2] [Citation(s) in RCA: 197] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Epidemiologic studies have contributed importantly to current knowledge of environmental and genetic risk factors for breast cancer. Worldwide, breast cancer is an important cause of human suffering and premature mortality among women. In the United States, breast cancer accounts for more cancer deaths in women than any site other than lung cancer. A variety of risk factors for breast cancer have been well-established by epidemiologic studies including race, ethnicity, family history of cancer, and genetic traits, as well as modifiable exposures such as increased alcohol consumption, physical inactivity, exogenous hormones, and certain female reproductive factors. Younger age at menarche, parity, and older age at first full-term pregnancy may influence breast cancer risk through long-term effects on sex hormone levels or by other biological mechanisms. Recent studies have suggested that triple negative breast cancers may have a distinct etiology. Genetic variants and mutations in genes that code for proteins having a role in DNA repair pathways and the homologous recombination of DNA double stranded breaks (APEX1, BRCA1, BRCA2, XRCC2, XRCC3, ATM, CHEK2, PALB2, RAD51, XPD), have been implicated in some cases of breast cancer.
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Affiliation(s)
- Steven S Coughlin
- Division of Epidemiology, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA.
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5
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Abubakar M, Sung H, Bcr D, Guida J, Tang TS, Pfeiffer RM, Yang XR. Breast cancer risk factors, survival and recurrence, and tumor molecular subtype: analysis of 3012 women from an indigenous Asian population. Breast Cancer Res 2018; 20:114. [PMID: 30227867 PMCID: PMC6145192 DOI: 10.1186/s13058-018-1033-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 07/31/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Limited evidence, mostly from studies in Western populations, suggests that the prognostic effects of lifestyle-related risk factors may be molecular subtype-dependent. Here, we examined whether pre-diagnostic lifestyle-related risk factors for breast cancer are associated with clinical outcomes by molecular subtype among patients from an understudied Asian population. METHODS In this population-based case series, we evaluated breast cancer risk factors in relation to 10-year all-cause mortality (ACM) and 5-year recurrence by molecular subtype among 3012 women with invasive breast cancer in Sarawak, Malaysia. A total of 579 deaths and 314 recurrence events occurred during a median follow-up period of ~ 24 months. Subtypes (luminal A-like, luminal B-like, HER2-enriched, triple-negative) were defined using immunohistochemical markers for hormone receptors and human epidermal growth factor receptor 2 (HER2) in conjunction with histologic grade. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between risk factors and ACM/recurrence were estimated in subtype-specific Cox regression models. RESULTS We observed heterogeneity in the relationships between parity/breastfeeding, age at first full-term pregnancy (FFP), family history, body mass index (BMI), and tumor subtype (p value < 0.05). Among luminal A-like patients only, older age at menarche [HR (95% CI) ≥15 vs ≤ 12 years = 2.28 (1.05, 4.95)] and being underweight [HRBMI < 18.5kg/m2vs. 18.5-24.9kg/m2 = 3.46 (1.21, 9.89)] or overweight [HR25-29.9kg/m2vs. 18.5-24.9kg/m2= 3.14 (1.04, 9.50)] were associated with adverse prognosis, while parity/breastfeeding [HRbreastfeeding vs nulliparity = 0.48 (0.27, 0.85)] and older age at FFP [HR > 30 vs < 21 years = 0.20 (0.04, 0.90)] were associated with good prognosis. For these women, the addition of age at menarche, parity/breastfeeding, and BMI, provided significantly better fit to a prognostic model containing standard clinicopathological factors alone [LRχ2 (8df) = 21.78; p value = 0.005]. Overall, the results were similar in relation to recurrence. CONCLUSIONS Our finding that breastfeeding and BMI were associated with prognosis only among women with luminal A-like breast cancer is consistent with those from previously published data in Western populations. Further prospective studies will be needed to clarify the role of lifestyle modification, especially changes in BMI, in improving clinical outcomes for women with luminal A-like breast cancer.
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Affiliation(s)
- Mustapha Abubakar
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| | - Hyuna Sung
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20850, USA.,Surveillance and Health Services Research, American Cancer Society, 250 Williams Street NW, Atlanta, GA, 30303, USA
| | - Devi Bcr
- Department of Radiotherapy, Oncology and Palliative Care, Sarawak General Hospital, Kuching, Sarawak, Malaysia
| | - Jennifer Guida
- Division of Cancer Control & Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tieng Swee Tang
- Department of Radiotherapy, Oncology and Palliative Care, Sarawak General Hospital, Kuching, Sarawak, Malaysia
| | - Ruth M Pfeiffer
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| | - Xiaohong R Yang
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
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6
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Forjaz de Lacerda G, Kelly SP, Bastos J, Castro C, Mayer A, Mariotto AB, Anderson WF. Breast cancer in Portugal: Temporal trends and age-specific incidence by geographic regions. Cancer Epidemiol 2018; 54:12-18. [PMID: 29544153 DOI: 10.1016/j.canep.2018.03.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 02/02/2018] [Accepted: 03/07/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Female breast cancer incidence rates have been increasing in Portugal for years. We, therefore, conducted the first nationwide breast cancer study to assess regional differences. METHODS Cases were obtained from population-based cancer registries covering the country's Mainland (South, North, Centre), as well as the two Autonomous Regions (Azores and Madeira), for the time-period 1998 through 2011. Analyses were restricted to ages 30-84 years and stratified by region. We used the age-period-cohort (APC) framework to complement standard descriptive techniques and to forecast future trends. Estimable APC parameters included net drift, longitudinal age-specific incidence rate curves, and fitted age-specific incidence rate ratios. RESULTS There were 71 545 breast cancer cases diagnosed in Portugal at ages 30-84 years from 1998 to 2011. The South presented the highest age-standardized rate (155.8/100 000), while the North presented the fastest rate of increase (3.6%/year). Age-specific statistical interactions were observed between regions. Younger women in the North revealed a decreased risk of developing breast cancer compared to women from the same age group in the South and Centre, while that risk was reversed in older women (p < 0.05). We estimate that from 2014 onwards, the North might rank first among all regions. CONCLUSION The variant patterns observed could be due to a combination of different screening practices and/or exposure to risk factors across regions. Disease heterogeneity among younger and older women may also explain part of the differences in age-specific rates. These results justify continued monitoring of breast cancer incidence by region.
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Affiliation(s)
- Gonçalo Forjaz de Lacerda
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA; Azores Region Cancer Registry, Azores Oncological Centre, Portugal.
| | - Scott P Kelly
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Joana Bastos
- Centre Region Cancer Registry, Portuguese Institute of Oncology, Coimbra, Portugal
| | - Clara Castro
- Northern Region Cancer Registry, Portuguese Institute of Oncology, Porto, Portugal
| | - Alexandra Mayer
- Southern Region Cancer Registry, Portuguese Institute of Oncology, Lisbon, Portugal
| | - Angela B Mariotto
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - William F Anderson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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7
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Kariri M, Jalambo MO, Kanou B, Deqes S, Younis S, Zabut B, Balawi U. Risk Factors for Breast Cancer in Gaza Strip, Palestine: a Case-Control Study. Clin Nutr Res 2017; 6:161-171. [PMID: 28770179 PMCID: PMC5539210 DOI: 10.7762/cnr.2017.6.3.161] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 06/26/2017] [Accepted: 07/10/2017] [Indexed: 12/29/2022] Open
Abstract
Breast cancer (BC) is the main common cause of cancer mortality among women in the world. This study aims at investigating BC epidemiology and identifying the different risk factors associated and the most affecting ones among women in the Gaza Strip, Palestine. This study was a hospital-based case-control (1:2), as the study was carried out over the period of October 2014 to February 2015. A total of 105 BC patients, chosen from Al-Shifa Hospital in Gaza City and European hospital for the south governorate, were the case and compared to 209 women as a control group who matched the cases in age, residence, and with no history of breast problems. The age of the enrolled cases and controlled ranged between 18 to 60 years. The face-to-face interview was conducted during the patient visit to the oncology department and the control visit in their home. The result illustrated that women who had late pregnancy (> 35 years) (odds ratio [OR], 11.56; 95% confidence interval [CI], 1.64-81.35), or high body mass index (BMI; ≥ 30 kg/m2) (OR, 4.70; 95% CI, 1.62-13.69), or first-degree family history of BC (OR, 2.7; 95% CI, 1.04-7.20), or hypertensive patients (OR, 12.13; 95% CI, 1.93-76.10), or diabetic (OR, 6.84; 95% CI, 1.77-26.36) were more likely to have increased BC risk. The findings of the present study suggest that positive family history of BC, high BMI, and some common diseases (hypertension, diabetes mellitus) may be the epigenetic factors promoting the occurrence of BC.
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Affiliation(s)
| | | | | | | | | | - Baker Zabut
- Biochemistry Department, Islamic University of Gaza, Gaza, Palestine
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8
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Balekouzou A, Yin P, Pamatika CM, Bekolo CE, Nambei SW, Djeintote M, Kota K, Mossoro-Kpinde CD, Shu C, Yin M, Fu Z, Qing T, Yan M, Zhang J, Chen S, Li H, Xu Z, Koffi B. Reproductive risk factors associated with breast cancer in women in Bangui: a case-control study. BMC WOMENS HEALTH 2017; 17:14. [PMID: 28264686 PMCID: PMC5340027 DOI: 10.1186/s12905-017-0368-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 02/04/2017] [Indexed: 12/26/2022]
Abstract
Background Breast cancer (breast Ca) is recognised as a major public health problem in the world. Data on reproductive factors associated with breast Ca in the Central African Republic (CAR) is very limited. This study aimed to identify reproductive variables as risk factors for breast Ca in CAR women. Methods A case–control study was conducted among 174 cases of breast Ca confirmed at the Pathology Unit of the National Laboratory in Bangui between 2003 and 2015 and 348 age-matched controls. Data collection tools included a questionnaire, interviews and a review of medical records of patients. Data were analysed using SPSS software version 20. Odd ratios and 95% confidence intervals (CI) for the likelihood of developing breast Ca were obtained using unconditional logistic regression. Results In total, 522 women with a mean age of 45.8 (SD = 13.4) years were enrolled. Women with breast Ca were more likely to have attained little or no education (AOR = 11.23, CI: 4.65–27.14 and AOR = 2.40, CI: 1.15–4.99), to be married (AOR = 2.09, CI: 1.18–3.71), to have had an abortion (AOR = 5.41, CI: 3.47–8.44), and to be nulliparous (AOR = 1.98, CI: 1.12–3.49). Decreased odds of breast Ca were associated with being employed (AOR = 0.32, CI: 0.19–0.56), living in urban areas (AOR = 0.16, CI: 0.07–0.37), late menarche (AOR = 0.18, CI: 0.07–0.44), regular menstrual cycles (AOR = 0.44, CI: 0.23–0.81), term pregnancy (AOR = 0.26, CI: 0.13–0.50) and hormonal contraceptive use (AOR = 0.62, CI: 0.41–0.93). Conclusion Breast Ca risk factors in CAR did not appear to be significantly different from that observed in other populations. This study highlighted the risk factors of breast Ca in women living in Bangui to inform appropriate control measures.
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Affiliation(s)
- Augustin Balekouzou
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.,National Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China.
| | | | - Cavin Epie Bekolo
- Ministry of Public Health, Centre Medical d'Arrondissement de Bare, Nkongsamba, Cameroon
| | - Sylvain Wilfrid Nambei
- Faculty of Health Sciences, University of Bangui, Avenue of the Martyrs, Bangui, Central African Republic
| | - Marceline Djeintote
- National Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic
| | - Komlan Kota
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | | | - Chang Shu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Minghui Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Zhen Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Tingting Qing
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Mingming Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Jianyuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Shaojun Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Hongyu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Zhongyu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Hangkong Road 13, Wuhan City, Hubei Province, China
| | - Boniface Koffi
- National Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic
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Balekouzou A, Yin P, Afewerky HK, Bekolo C, Pamatika CM, Nambei SW, Djeintote M, Doui Doumgba A, Mossoro-Kpinde CD, Shu C, Yin M, Fu Z, Qing T, Yan M, Zhang J, Chen S, Li H, Xu Z, Koffi B. Behavioral risk factors of breast cancer in Bangui of Central African Republic: A retrospective case-control study. PLoS One 2017; 12:e0171154. [PMID: 28178283 PMCID: PMC5298279 DOI: 10.1371/journal.pone.0171154] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 01/16/2017] [Indexed: 11/18/2022] Open
Abstract
Breast cancer is recognized as a major public health problem in developing countries; however, there is very little evidence of behavioral factors associated with breast cancer risk. This study was conducted to identify lifestyles as risk factors for breast cancer among Central African women. A case-control study was conducted with 174 cases confirmed histologically by the pathology unit of the National Laboratory and 348 age-matched controls. Data collection tools included a questionnaire with interviews and medical records of patients. Data were analyzed using SPSS software version 20. Odd ratio (OR) and 95% confidence intervals (95% CI) were obtained by unconditional logistic regression. In total, 522 women were studied with a mean age of 45.8 (SD = 13.4) years. By unconditional logistic regression model, women with breast cancer were more likely to have attained illiterate and elementary education level [11.23 (95% CI, 4.65-27.14) and 2.40 (95% CI, 1.15-4.99)], married [2.09 (95% CI, 1.18-3.71)], positive family history [2.31 (95% CI, 1.36-3.91)], radiation exposure [8.21 (95% CI, 5.04-13.38)], consumption charcuterie [10.82 (95% CI, 2.39-48.90)], fresh fish consumption [4.26 (95% CI, 1.56-11.65)], groundnut consumption [6.46 (95% CI, 2.57-16.27)], soybean consumption [16.74 (95% CI, 8.03-39.84)], alcohol [2.53 (95% CI, 1.39-4.60)], habit of keeping money in bras[3.57 (95% CI, 2.24-5.69)], overweight [5.36 (95% CI, 4.46-24.57)] and obesity [3.11(95% CI, 2.39-20.42)]. However, decreased risk of breast cancer was associated with being employed [0.32 (95% CI, 0.19-0.56)], urban residence [0.16 (95% CI, 0.07-0.37)], groundnut oil consumption [0.05 (95% CI, 0.02-0.14)], wine consumption [0.16 (95% CI, 0.09-0.26)], non habit of keeping cell phone in bras [0.56 (95% CI, 0.35-0.89)] and physical activity [0.71(95% CI, 0.14-0.84)]. The study showed that little or no education, marriage, positive family history of cancer, radiation exposure, charcuterie, fresh fish, groundnut, soybean, alcohol, habit of keeping money in bras, overweight and obesity were associated with breast cancer risk among Central African women living in Bangui. Women living in Bangui should be more cautious on the behavioral risk associated with breast cancer.
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Affiliation(s)
- Augustin Balekouzou
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Henok Kessete Afewerky
- Department of Pathology and Pathophysiology, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Cavin Bekolo
- Ministry of Public Health, Centre Medical d’Arrondissement de Bare, Nkongsamba, Yaoundé, Cameroon
| | | | | | - Marceline Djeintote
- National Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic
| | - Antoine Doui Doumgba
- Faculty of Health Sciences, University of Bangui, Bangui, Central African Republic
| | | | - Chang Shu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Minghui Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Zhen Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Tingting Qing
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Mingming Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Jianyuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Shaojun Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Hongyu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Zhongyu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Sciences and Technology, Wuhan, China
| | - Boniface Koffi
- National Laboratory of Clinical Biology and Public Health, Bangui, Central African Republic
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Brinton LA, Key TJ, Kolonel LN, Michels KB, Sesso HD, Ursin G, Van Den Eeden SK, Wood SN, Falk RT, Parisi D, Guillemette C, Caron P, Turcotte V, Habel LA, Isaacs CJ, Riboli E, Weiderpass E, Cook MB. Prediagnostic Sex Steroid Hormones in Relation to Male Breast Cancer Risk. J Clin Oncol 2015; 33:2041-50. [PMID: 25964249 PMCID: PMC4461805 DOI: 10.1200/jco.2014.59.1602] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
PURPOSE Although previous studies have implicated a variety of hormone-related risk factors in the etiology of male breast cancers, no previous studies have examined the effects of endogenous hormones. PATIENTS AND METHODS Within the Male Breast Cancer Pooling Project, an international consortium comprising 21 case-control and cohort investigations, a subset of seven prospective cohort studies were able to contribute prediagnostic serum or plasma samples for hormone quantitation. Using a nested case-control design, multivariable unconditional logistic regression analyses estimated odds ratios and 95% CIs for associations between male breast cancer risk and 11 individual estrogens and androgens, as well as selected ratios of these analytes. RESULTS Data from 101 cases and 217 matched controls were analyzed. After adjustment for age and date of blood draw, race, and body mass index, androgens were found to be largely unrelated to risk, but circulating estradiol levels showed a significant association. Men in the highest quartile had an odds ratio of 2.47 (95% CI, 1.10 to 5.58) compared with those in the lowest quartile (trend P = .06). Assessment of estradiol as a ratio to various individual androgens or sum of androgens showed no further enhancement of risk. These relations were not significantly modified by either age or body mass index, although estradiol was slightly more strongly related to breast cancers occurring among younger (age < 67 years) than older men. CONCLUSION Our results support the notion of an important role for estradiol in the etiology of male breast cancers, similar to female breast cancers.
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Affiliation(s)
- Louise A Brinton
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC.
| | - Tim J Key
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Laurence N Kolonel
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Karin B Michels
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Howard D Sesso
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Giske Ursin
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Stephen K Van Den Eeden
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Shannon N Wood
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Roni T Falk
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Dominick Parisi
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Chantal Guillemette
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Patrick Caron
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Véronique Turcotte
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Laurel A Habel
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Claudine J Isaacs
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Elio Riboli
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Elisabete Weiderpass
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
| | - Michael B Cook
- Louise A. Brinton, Shannon N. Wood, Roni T. Falk, and Michael B. Cook, National Cancer Institute, Bethesda; Dominick Parisi, Information Management Services, Rockville, MD; Tim J. Key, University of Oxford, Oxford; Elio Riboli, Imperial College School of Public Health, London, United Kingdom; Laurence N. Kolonel, University of Hawaii, Honolulu, HI; Karin B. Michels, Harvard Medical School and Harvard School of Public Health; Karin B. Michels and Howard D. Sesso, Brigham and Women's Hospital, Boston, MA; Giske Ursin, University of Oslo; Giske Ursin and Elisabete Weiderpass, Cancer Registry of Norway, Oslo; University of Tromsø-Arctic University of Norway, Tromsø, Norway; Karolinska Institutet, Stockholm, Sweden; and Samfundet Folkhalsan, Helsinki, Finland; Giske Ursin, University of Southern California, Los Angeles; Stephen K. Van Den Eeden and Laurel A. Habel, Kaiser Permanente Northern California, Oakland, CA; Chantal Guillemette, Patrick Caron, and Véronique Turcotte, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Québec, Canada; and Claudine J. Isaacs, Georgetown University, Washington, DC
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The characteristics of breast cancer subtypes: implications for treatment guidelines and individualized treatment strategies in China. Appl Immunohistochem Mol Morphol 2015; 22:383-9. [PMID: 24162264 DOI: 10.1097/pai.0b013e3182a3c52c] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This study aimed at investigating the characteristics of invasive breast cancer among molecular subtypes. Patients with invasive breast cancer, with complete information on the expressions of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 (HER2), were recruited. χ tests and an unconditional logistic regression model were used for statistical analysis. The percentages of luminal A, luminal B, HER2/neu, and triple-negative subtypes were 54.2% (1639/3021), 14.0% (422/3021), 8.9% (269/3021), and 22.9% (691/3021), respectively. Differences among molecular subtypes (P<0.05) in tumor size, stage, pathologic type, and lymph node status were observed. The HER2/neu, luminal B, and triple-negative subtypes were more aggressive compared with the luminal A subtype in tumor stage, lymph node status, or pathologic type (P<0.05), when the findings were adjusted for age. Molecular subtypes were distributed differently between both age groups and regional groups on the basis of the socioeconomic status (P<0.05). In conclusion, luminal A and triple-negative subtypes were the 2 main subtypes of invasive breast cancer in China. The variations of molecular subtypes in pathology, age, and regional distribution may give some suggestions for updating treatment guidelines and individualized treatment strategies in China.
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Dartois L, Gauthier É, Heitzmann J, Baglietto L, Michiels S, Mesrine S, Boutron-Ruault MC, Delaloge S, Ragusa S, Clavel-Chapelon F, Fagherazzi G. A comparison between different prediction models for invasive breast cancer occurrence in the French E3N cohort. Breast Cancer Res Treat 2015; 150:415-26. [PMID: 25744293 DOI: 10.1007/s10549-015-3321-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 02/23/2015] [Indexed: 02/07/2023]
Abstract
Breast cancer remains a global health concern with a lack of high discriminating prediction models. The k-nearest-neighbor algorithm (kNN) estimates individual risks using an intuitive tool. This study compares the performances of this approach with the Cox and the Gail models for the 5-year breast cancer risk prediction. The study included 64,995 women from the French E3N prospective cohort. The sample was divided into a learning (N = 51,821) series to learn the models using fivefold cross-validation and a validation (N = 13,174) series to evaluate them. The area under the receiver operating characteristic curve (AUC) and the expected over observed number of cases (E/O) ratio were estimated. In the two series, 393 and 78 premenopausal and 537 and 98 postmenopausal breast cancers were diagnosed. The discrimination values of the best combinations of predictors obtained from cross-validation ranged from 0.59 to 0.60. In the validation series, the AUC values in premenopausal and postmenopausal women were 0.583 [0.520; 0.646] and 0.621 [0.563; 0.679] using the kNN and 0.565 [0.500; 0.631] and 0.617 [0.561; 0.673] using the Cox model. The E/O ratios were 1.26 and 1.28 in premenopausal women and 1.44 and 1.40 in postmenopausal women. The applied Gail model provided AUC values of 0.614 [0.554; 0.675] and 0.549 [0.495; 0.604] and E/O ratios of 0.78 and 1.12. This study shows that the prediction performances differed according to menopausal status when using parametric statistical tools. The k-nearest-neighbor approach performed well, and discrimination was improved in postmenopausal women compared with the Gail model.
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Affiliation(s)
- Laureen Dartois
- Inserm (Institut National de la Santé et de la Recherche Médicale), Centre for Research in Epidemiology and Population Health (CESP), U1018, Team 9, 114 rue Édouard Vaillant, 94805, Villejuif Cedex, France
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Yeo W, Lee HM, Chan A, Chan EYY, Chan MCM, Chan KW, Chan SWW, Cheung FY, Cheung PSY, Choi PHK, Chor JSY, Foo WWL, Kwan WH, Law SCK, Li LPK, Tsang JWH, Tung Y, Wong LLS, Wong TT, Yau CC, Yau TK, Zee BCY. Risk factors and natural history of breast cancer in younger Chinese women. World J Clin Oncol 2014; 5:1097-1106. [PMID: 25493246 PMCID: PMC4259937 DOI: 10.5306/wjco.v5.i5.1097] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Revised: 06/20/2014] [Accepted: 07/25/2014] [Indexed: 02/06/2023] Open
Abstract
AIM To investigate the age differences in the risk factors, clinicopathological characteristics and patterns of treatment of female breast cancer patients. METHODS Seven thousand one hundred and fifty-two women with primary breast cancer from the Hong Kong Breast Cancer Registry were recruited after receiving patients' consent, they were asked to complete standardized questionnaires which captured their sociodemographic characteristics and risk factors associated with breast cancer development. Among them, clinicopathological data and patterns of treatment were further collected from medical records of 5523 patients with invasive breast cancers. Patients were divided into two groups according to the age at diagnosis: younger (< 40 years old) vs older patients (≥ 40 years old) for subsequent analyses. RESULTS Analysis on the sociodemographic characteristics and exposure to risk factors were performed on 7152 women with primary breast cancer and the results revealed that younger patients were more likely to have unhealthy lifestyles; these include a lack of exercise (85.4% vs 73.2%, P < 0.001), having high stress in life (46.1% vs 35.5%, P < 0.001), having dairy/meat-rich diets (20.2% vs 12.9%, P < 0.001), having alcohol drinking habit (7.7% vs 5.2%, P = 0.002). Younger patients were also more likely to have hormone-related risk factors including nulliparity (43.3% vs 17.8%, P < 0.001) and an early age at menarche (20.7% vs 13.2%, P < 0.001). Analyses on clinicopathological characteristics and patterns of treatment were performed on 5523 women diagnosed with invasive breast cancer. The invasive tumours in younger patients showed more aggressive pathological features such as having a higher percentage of grade 3 histology (45.7% vs 36.5%, P < 0.001), having a higher proportion of tumours with lymphovascular invasion (39.6% vs 33.2%, P = 0.003), and having multifocal disease (15.7% vs 10.3%, P < 0.001); they received different patterns of treatment than their older counterparts. CONCLUSION Younger patients in Hong Kong are more likely to encounter risk factors associated with breast cancer development and have more aggressive tumours than their older counterparts.
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Rotunno M, Sun X, Figueroa J, Sherman ME, Garcia-Closas M, Meltzer P, Williams T, Schneider SS, Jerry DJ, Yang XR, Troester MA. Parity-related molecular signatures and breast cancer subtypes by estrogen receptor status. Breast Cancer Res 2014; 16:R74. [PMID: 25005139 PMCID: PMC4227137 DOI: 10.1186/bcr3689] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 06/25/2014] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Relationships of parity with breast cancer risk are complex. Parity is associated with decreased risk of postmenopausal hormone receptor-positive breast tumors, but may increase risk for basal-like breast cancers and early-onset tumors. Characterizing parity-related gene expression patterns in normal breast and breast tumor tissues may improve understanding of the biological mechanisms underlying this complex pattern of risk. METHODS We developed a parity signature by analyzing microRNA microarray data from 130 reduction mammoplasty (RM) patients (54 nulliparous and 76 parous). This parity signature, together with published parity signatures, was evaluated in gene expression data from 150 paired tumors and adjacent benign breast tissues from the Polish Breast Cancer Study, both overall and by tumor estrogen receptor (ER) status. RESULTS We identified 251 genes significantly upregulated by parity status in RM patients (parous versus nulliparous; false discovery rate = 0.008), including genes in immune, inflammation and wound response pathways. This parity signature was significantly enriched in normal and tumor tissues of parous breast cancer patients, specifically in ER-positive tumors. CONCLUSIONS Our data corroborate epidemiologic data, suggesting that the etiology and pathogenesis of breast cancers vary by ER status, which may have implications for developing prevention strategies for these tumors.
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Brinton LA, Smith L, Gierach GL, Pfeiffer RM, Nyante SJ, Sherman ME, Park Y, Hollenbeck AR, Dallal CM. Breast cancer risk in older women: results from the NIH-AARP Diet and Health Study. Cancer Causes Control 2014; 25:843-57. [PMID: 24810653 DOI: 10.1007/s10552-014-0385-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2014] [Accepted: 04/09/2014] [Indexed: 12/27/2022]
Abstract
BACKGROUND Divergent risk factors exist for premenopausal and postmenopausal breast cancers, but it is unclear whether differences by age exist among postmenopausal women. METHODS We examined relationships among 190,872 postmenopausal women, ages 50-71 years recruited during 1995-1996 for the NIH-AARP Diet and Health Study, in whom 7,384 incident invasive breast carcinomas were identified through 2006. Multivariable Cox regression hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for breast cancer risk factors by age (50-59, 60-69, ≥70 years). RESULTS The only factor showing significant statistical heterogeneity by age (p(het) = 0.001) was menopausal hormone therapy duration, but trends were apparent across all ages and the strongest association prevailed among women 60-69 years. Although other risk factors did not show statistically significant heterogeneity by age, we did observe attenuated relations for parity and late age at first birth among older women [e.g., HR for age at first birth ≥30 vs. 20-24 = 1.62 (95% CI 1.23-2.14) for women 50-59 years vs. 1.12 (0.96-1.31) for ≥70 years]. In contrast, risk estimates associated with alcohol consumption and BMI tended to be slightly stronger among the oldest subjects [e.g., HR for BMI ≥35 vs. 18.5-24.9 = 1.24 (95% CI 0.97-1.58) for 50-59 years vs. 1.46 (1.26-1.70) for ≥70 years]. These differences were somewhat more pronounced for estrogen receptor positive and ductal cancers, tumors predominating among older women. Breast cancer family history, physical activity, and previous breast biopsies did not show divergent associations by age. CONCLUSION Although breast cancer risk factor differences among older women were not large, they may merit further consideration with respect to individualized risk prediction.
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Affiliation(s)
- Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA,
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The effect of local therapy on breast cancer mortality: is there an age-interaction? Indian J Surg Oncol 2014; 5:5-9. [PMID: 24669159 DOI: 10.1007/s13193-013-0274-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Accepted: 08/23/2013] [Indexed: 10/26/2022] Open
Abstract
There are no randomized trials comparing local therapy versus no therapy in patients with primary breast cancer, as such trials would be deemed unethical. Thus, the impact of local therapy on breast cancer mortality is poorly understood. However, an overview of clinical trials comparing various permutations in the local therapy of breast cancer suggests that inadequate local therapy increases the risk of local recurrences, and thereby increases breast cancer mortality. Yet, age-interactions are commonly reported in studies that have examined the etiology, prognosis, and treatment of breast cancer, and might be associated with the effect of local therapy as well. Moreover, the effect of local therapy on breast cancer mortality might be time-dependent. In cohorts of women with high-risk tumors (predominantly younger women) local therapy may adversely (but only transiently) perturb the natural history of breast cancer. In contrast, such an effect is not evident in cohorts of women with low-risk tumors (predominantly older women). For both groups of patients, local therapy appears to ultimately have a beneficial effect in reducing breast cancer mortality, but in patients with low-risk tumors the benefit is immediate, while in patients with high-risk tumors it is delayed. Evidence for such an age-interaction is derived from comparison of the breast cancer hazard curves in women with high-risk and low-risk tumors, and analysis of the mammography screening trials. Neo-adjuvant systemic therapy may eventually prove useful in modulating the effects of local therapy.
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Jindal S, Gao D, Bell P, Albrektsen G, Edgerton SM, Ambrosone CB, Thor AD, Borges VF, Schedin P. Postpartum breast involution reveals regression of secretory lobules mediated by tissue-remodeling. Breast Cancer Res 2014; 16:R31. [PMID: 24678808 PMCID: PMC4053254 DOI: 10.1186/bcr3633] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Accepted: 03/06/2014] [Indexed: 01/05/2023] Open
Abstract
Introduction A postpartum diagnosis of breast cancer is an independent predictor of metastases, however the reason is unknown. In rodents, the window of postpartum mammary gland involution promotes tumor progression, suggesting a role for breast involution in the poor prognosis of human postpartum breast cancers. Rodent mammary gland involution is characterized by the programmed elimination of the secretory lobules laid down in preparation for lactation. This tissue involution process involves massive epithelial cell death, stromal remodeling, and immune cell infiltration with similarities to microenvironments present during wound healing and tumor progression. Here, we characterize breast tissue from premenopausal women with known reproductive histories to determine the extent, duration and cellular mechanisms of postpartum lobular involution in women. Methods Adjacent normal breast tissues from premenopausal women (n = 183) aged 20 to 45 years, grouped by reproductive categories of nulliparous, pregnant and lactating, and by time since last delivery were evaluated histologically and by special stain for lobular area, lobular type composition, apoptosis and immune cell infiltration using computer assisted quantitative methods. Results Human nulliparous glands were composed dominantly of small (approximately 10 acini per lobule) and medium (approximately 35 acini per lobule) sized lobules. With pregnancy and lactation, a >10 fold increase in breast epithelial area was observed compared to nulliparous cases, and lactating glands were dominated by mature lobules (>100 acini per lobule) with secretory morphology. Significant losses in mammary epithelial area and mature lobule phenotypes were observed within 12 months postpartum. By 18 months postpartum, lobular area content and lobule composition were indistinguishable from nulliparous cases, data consistent with postpartum involution facilitating regression of the secretory lobules developed in preparation for lactation. Analyses of apoptosis and immune cell infiltrate confirmed that human postpartum breast involution is characterized by wound healing-like tissue remodeling programs that occur within a narrowed time frame. Conclusions Human postpartum breast involution is a dominant tissue-remodeling process that returns the total lobular area of the gland to a level essentially indistinguishable from the nulliparous gland. Further research is warranted to determine whether the normal physiologic process of postpartum involution contributes to the poor prognosis of postpartum breast cancer.
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Singh M, Jangra B. Association between body mass index and risk of breast cancer among females of north India. South Asian J Cancer 2014; 2:121-5. [PMID: 24455581 PMCID: PMC3892536 DOI: 10.4103/2278-330x.114108] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Background: Worldwide, breast cancer is most common cancer among women. In India and other developing countries, breast carcinoma ranks second only to cervical carcinoma among women. Although studies have been done globally, to find association between BMI and breast cancer, very few studies in India document any such association. Purpose: To find out the association between BMI and breast cancer. Materials and Methods: A Case-control study was done from August 2009 - July 2010 in the wards of General Surgery and Oncosurgery at Pt.B.D.Sharma, PGIMS Rohtak, Haryana. A total of 128 histopathologically confirmed new cases of breast cancer during the study period were taken as cases. Equal number of controls was selected by simple random sampling. Controls were matched for age with range of ±2 years. Subjects were interviewed using a pretested questionnaire after obtaining written informed consent. Data were analyzed by applying appropriate statistical tests using SPSS version 17. Results: Age group of the cases was 25 - 78 years, while that of the controls was 24 - 79 years. Proportion of cases and controls living in rural areas were more than those living in urban areas. A significant association of breast cancer cases was found with high BMI and high fat intake Conclusion: Obesity and high fat intake are the significant risk factors, which are modifiable. So women should be encouraged to take care of all these factors. Maximum cases presented in late stages so public awareness of this fatal disease must be developed.
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Affiliation(s)
- Mahavir Singh
- Department of General Surgery, Pt. B. D. Sharma PGIMS, Rohtak, Haryana, India
| | - Babita Jangra
- Department of Community Medicine, Pt. B. D. Sharma PGIMS, Rohtak, Haryana, India
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Ortiz AP, Frías O, Pérez J, Cabanillas F, Martínez L, Sánchez C, Capó-Ramos DE, González-Keelan C, Mora E, Suárez E. Breast cancer molecular subtypes and survival in a hospital-based sample in Puerto Rico. Cancer Med 2013; 2:343-50. [PMID: 23930211 PMCID: PMC3699846 DOI: 10.1002/cam4.78] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 02/27/2013] [Accepted: 03/08/2013] [Indexed: 12/31/2022] Open
Abstract
Information on the impact of hormone receptor status subtypes in breast cancer (BC) prognosis is still limited for Hispanics. We aimed to evaluate the association of BC molecular subtypes and other clinical factors with survival in a hospital-based female population of BC cases in Puerto Rico. We analyzed 663 cases of invasive BC diagnosed between 2002 and 2005. Information on HER-2/neu (HER-2) overexpression, estrogen (ER), and progesterone (PR) receptor status and clinical characteristics were retrieved from hospitals cancer registries and record review. Survival probabilities by covariates of interest were described using the Kaplan–Meier estimators. Cox proportional hazards models were employed to assess factors associated with risk of BC death. Overall, 17.3% of BC cases were triple-negative (TN), 61.8% were Luminal-A, 13.3% were Luminal-B, and 7.5% were HER-2 overexpressed. In the multivariate Cox model, among patients with localized stage, women with TN BC had higher risk of death (adjusted hazard ratio [HR]: 2.57, 95% confidence interval [CI]: 1.29–5.12) as compared to those with Luminal-A status, after adjusting for age at diagnosis. In addition, among women with regional/distant stage at diagnosis, those with TN BC (HR: 5.48, 95% CI: 2.63–11.47) and those HER-2+, including HER-2 overexpressed and Luminal-B, (HR: 2.73, 95% CI:1.30–5.75) had a higher mortality. This is the most comprehensive epidemiological study to date on the impact of hormone receptor expression subtypes in BC survival in Puerto Rico. Consistent to results in other populations, the TN subtype and HER-2+ tumors were associated with decreased survival.
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Affiliation(s)
- Ana Patricia Ortiz
- Cancer Control and Population Sciences Program, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR 00927, USA.
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Yang H, Yu X, He X, Fan J, Li J, Xu F, Zhang B, Tang Z, Zheng S, Qiao Y. Age Interactions in Breast Cancer: An Analysis of a 10-Year Multicentre Study in China. J Int Med Res 2012; 40:1130-40. [PMID: 22906287 DOI: 10.1177/147323001204000333] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVES: The effects of age at diagnosis on the clinical characteristics of breast cancer and trends over time were investigated in Chinese women. METHODS: Data from 4211 women with pathologically confirmed primary breast cancer collected between 1999 and 2008 for a multicentre retrospective study were analysed according to age at diagnosis. RESULTS: Age at diagnosis ranged from 21 to 86 years, with a mean of 48.7 years, and was shown to be significantly related to tumour size, lymph node status, hormone receptor status and human growth factor receptor-2 status, but not to pathological type or tumour, node, metastasis stage. The age-corrected proportion of patients aged 50 – 64 years at diagnosis increased significantly between 1999 and 2008. There was a significant difference in the age-corrected distribution of age at diagnosis in China compared with Western countries. CONCLUSIONS: Age at diagnosis is related to the clinical and pathological characteristics of breast cancer. The age at diagnosis in China increased over the decade from 1999 to 2008, but is still lower than in Western countries.
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Affiliation(s)
- Hj Yang
- Department of Breast Surgery, Zhejiang Cancer Hospital, Banshanqiao, Hangzhou, China
| | - Xf Yu
- Department of Breast Surgery, Zhejiang Cancer Hospital, Banshanqiao, Hangzhou, China
| | - Xm He
- Department of Breast Surgery, Zhejiang Cancer Hospital, Banshanqiao, Hangzhou, China
| | - Jh Fan
- Department of Cancer Epidemiology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Li
- Department of Cancer Epidemiology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - F Xu
- Department of Breast—Thyroid Surgery, Xiangya Second Hospital, Central South University, Changsha, China
| | - Bn Zhang
- Centre of Breast Disease, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zh Tang
- Department of Breast—Thyroid Surgery, Xiangya Second Hospital, Central South University, Changsha, China
| | - S Zheng
- Department of Pathology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yl Qiao
- Department of Cancer Epidemiology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Yang XR, Figueroa JD, Falk RT, Zhang H, Pfeiffer RM, Hewitt SM, Lissowska J, Peplonska B, Brinton L, Garcia-Closas M, Sherman ME. Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers. Breast Cancer Res 2012; 14:R64. [PMID: 22513288 PMCID: PMC3446399 DOI: 10.1186/bcr3170] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2012] [Revised: 03/19/2012] [Accepted: 04/18/2012] [Indexed: 11/27/2022] Open
Abstract
Introduction Involution of terminal duct lobular units (TDLUs), the structures that give rise to most breast cancers, has been associated with reduced breast cancer risk. Data suggest that the etiology and pathogenesis of luminal A and core basal phenotype (CBP) breast cancers differ, but associations with TDLU involution are unknown. Accordingly, we performed a masked microscopic assessment of TDLU involution in benign tissues associated with luminal A and CBP breast cancers diagnosed among women less than age 55 years. Methods Cases were participants in a population-based case-control study conducted in Poland. Increased TDLU involution was defined as fewer acini per TDLU or shorter TDLU diameter. Luminal A was defined as estrogen receptor (ER) positive and/or progesterone receptor (PR) positive and human epidermal growth factor receptor 2 (HER2) negative and CBP as negative for ER, PR, and HER2 with expression of basal cytokeratins or epidermal growth factor receptor (EGFR). We performed logistic regression to evaluate associations between TDLU involution and tumor subtypes, adjusted for clinical characteristics and breast cancer risk factors. Results Among 232 luminal A and 49 CBP cancers associated with evaluable TDLUs, CBP tumors were associated with significantly greater average number of acini per TDLU (odds ratio (OR) = 3.36, 95% confidence interval (CI) = 1.36 to 8.32, P = 0.009) and larger average TDLU diameter (OR = 2.49, 95% CI = 1.08 to 5.74, P = 0.03; comparing highest to lowest group, adjusted for age and study site). Conclusions We suggest that TDLU involution is less marked in benign tissues surrounding CBP as compared to luminal A cancers, which may reflect differences in the etiology and pathogenesis of these tumor subtypes.
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Affiliation(s)
- Xiaohong R Yang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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