Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
5 "Breast neoplasms"
Filter
Filter
Article category
Keywords
Publication year
Authors
Reviews
Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2016;49(6):367-375.   Published online October 21, 2016
DOI: https://doi.org/10.3961/jpmph.16.054
  • 15,265 View
  • 311 Download
  • 51 Crossref
AbstractAbstract PDF
Objectives
The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women.
Methods
PubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted.
Results
Six analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; I2=50.0%). The RE-DRMR results showed that the risk of breast cancer increased 1.73 times for each 25% increase in PD in postmenopausal women (95% CI, 1.20 to 2.47).
Conclusions
In Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women.
Summary

Citations

Citations to this article as recorded by  
  • Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer
    Yaoyao Li, Yipei Zhang, Qiang Yu, Chenglong He, Xiguo Yuan
    Biomedical Optics Express.2024; 15(3): 1515.     CrossRef
  • Physical Activity and Mammographic Density in Japanese Women
    Mihye Lee, Rina Kotake, Hideko Yamauchi
    Cancer Epidemiology, Biomarkers & Prevention.2024; : OF1.     CrossRef
  • The association between mammographic density and breast cancer risk in Chinese women: a systematic review and meta-analysis
    Song Bai, Di Song, Ming Chen, Xiaoshu Lai, Jinfeng Xu, Fajin Dong
    BMC Women's Health.2024;[Epub]     CrossRef
  • Polygenic risk score-based prediction of breast cancer risk in Taiwanese women with dense breast using a retrospective cohort study
    Chih-Chiang Hung, Sin-Hua Moi, Hsin-I Huang, Tzu-Hung Hsiao, Chi-Cheng Huang
    Scientific Reports.2024;[Epub]     CrossRef
  • Causes and Risk Factors of Breast Cancer, What Do We Know for Sure? An Evidence Synthesis of Systematic Reviews and Meta-Analyses
    Borghild Løyland, Ida Hellum Sandbekken, Ellen Karine Grov, Inger Utne
    Cancers.2024; 16(8): 1583.     CrossRef
  • Cost-Effectiveness Analysis of Digital Breast Tomosynthesis and Mammography in Breast Cancer Screening: A Markov Modeling Study
    Wei-Shiuan Chung, Thomas T. H. Wan, Yu Tsz Shiu, Hon-Yi Shi
    Journal of Epidemiology and Global Health.2024;[Epub]     CrossRef
  • Association of area- and volumetric-mammographic density and breast cancer risk in women of Asian descent: a case control study
    Shivaani Mariapun, Weang-Kee Ho, Mikael Eriksson, Nur Aishah Mohd Taib, Cheng-Har Yip, Kartini Rahmat, Per Hall, Soo-Hwang Teo
    Breast Cancer Research.2024;[Epub]     CrossRef
  • Knowledge, attitude, and practice toward ultrasound screening for breast cancer among women
    Shaozhong Liu, Shukai Zheng, Mengzhen Qin, Yifeng Xie, Kun Yang, Xiaozhen Liu
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Polygenic risk scores for prediction of breast cancer in Korean women
    Yon Ho Jee, Weang-Kee Ho, Sohee Park, Douglas F Easton, Soo-Hwang Teo, Keum Ji Jung, Peter Kraft
    International Journal of Epidemiology.2023; 52(3): 796.     CrossRef
  • Estimating Age-Specific Mean Sojourn Time of Breast Cancer and Sensitivity of Mammographic Screening by Breast Density among Korean Women
    Eunji Choi, Mina Suh, So-Youn Jung, Kyu-Won Jung, Sohee Park, Jae Kwan Jun, Kui Son Choi
    Cancer Research and Treatment.2023; 55(1): 136.     CrossRef
  • Current Trends in the Utilization of Preoperative Breast Magnetic Resonance Imaging Among Women With Newly Diagnosed Breast Cancer
    I-Wen Pan, Tina W.F. Yen, Isabelle Bedrosian, Ya-Chen Tina Shih
    JCO Oncology Practice.2023; 19(7): 446.     CrossRef
  • International Interobserver Variability of Breast Density Assessment
    Leah H. Portnow, Lina Choridah, Kardinah Kardinah, Triwulan Handarini, Ruud Pijnappel, Adriana M.J. Bluekens, Lucien E.M. Duijm, Peter K. Schoub, Pamela S. Smilg, Liat Malek, Jessica W.T. Leung, Sughra Raza
    Journal of the American College of Radiology.2023; 20(7): 671.     CrossRef
  • Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women
    Hayoung Kim, Jihe Lim, Hyug-Gi Kim, Yunji Lim, Bo Kyoung Seo, Min Sun Bae
    Diagnostics.2023; 13(13): 2247.     CrossRef
  • The diagnostic accuracy of mammography and ultrasonography for recurrent breast cancer after breast conserving treatment
    Piyakan Pathanasethpong, Supajit Nawapun, Payia Chadbunchachai, Ongart Somintara, Chaiwat Apivatanasiri, Arunnit Boonrod
    European Journal of Radiology Open.2023; 11: 100514.     CrossRef
  • Fine-needle aspiration biopsy possibilities in studying the molecular genetic landscape of breast tissue
    V.  V.  Rodionov, O.  V.  Burmenskaya, V.  V.  Kometova, A.  A.  Smetnik, M.  V.  Rodionova, D.  Yu.  Trofimov, L.  A.  Ashrafyan, G.  T.  Sukhikh
    Tumors of female reproductive system.2023; 19(4): 16.     CrossRef
  • miR-146a Enhances the Sensitivity of Breast Cancer Cells to Paclitaxel by Downregulating IRAK1
    Yalun Li, Weilong Li, Jun Lin, Chunjing Lv, Guangdong Qiao
    Cancer Biotherapy and Radiopharmaceuticals.2022; 37(8): 624.     CrossRef
  • Current status of AYA-generation breast cancer: trends worldwide and in Japan
    Manabu Futamura, Kazuhiro Yoshida
    International Journal of Clinical Oncology.2022; 27(1): 16.     CrossRef
  • A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
    Matteo Interlenghi, Christian Salvatore, Veronica Magni, Gabriele Caldara, Elia Schiavon, Andrea Cozzi, Simone Schiaffino, Luca Alessandro Carbonaro, Isabella Castiglioni, Francesco Sardanelli
    Diagnostics.2022; 12(1): 187.     CrossRef
  • Global guidelines for breast cancer screening: A systematic review
    Wenhui Ren, Mingyang Chen, Youlin Qiao, Fanghui Zhao
    The Breast.2022; 64: 85.     CrossRef
  • Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammograms
    Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiorto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, Yohan Kondo
    Biomedical Physics & Engineering Express.2022; 8(4): 045016.     CrossRef
  • Breast Cancer Disparities in Asian Women: The Need for Disaggregated Research
    Lauren Fane, Tithi Biswas, Charulata Jindal, Yuk Ming Choi, Jimmy T. Efird
    International Journal of Environmental Research and Public Health.2022; 19(16): 9790.     CrossRef
  • Vertical Breast Displacement in Asian Women During Exercise: influence of Bra Type, Size and Different Parts of the Breast
    Xinyang Sheng, Xiaona Chen, Mark John Lake
    Fibres & Textiles in Eastern Europe.2022; 30(3): 1.     CrossRef
  • Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature
    Akila Anandarajah, Yongzhen Chen, Graham A. Colditz, Angela Hardi, Carolyn Stoll, Shu Jiang
    Breast Cancer Research.2022;[Epub]     CrossRef
  • Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
    William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Yun Boyer, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal R. Vijayaraghavan, A. Gregory Sorensen
    Nature Medicine.2021; 27(2): 244.     CrossRef
  • Association between changes in mammographic density category and the risk of breast cancer: A nationwide cohort study in East‐Asian women
    Soyeoun Kim, Boyoung Park
    International Journal of Cancer.2021; 148(11): 2674.     CrossRef
  • Dense Breast Notification Laws’ Association With Outcomes in the US Population: A Cross-Sectional Study
    Nancy R. Kressin, Tracy A. Battaglia, Jolie B. Wormwood, Priscilla J. Slanetz, Christine M. Gunn
    Journal of the American College of Radiology.2021; 18(5): 685.     CrossRef
  • Breast Cancer Lesion Detection and Classification in mammograms using Deep Neural
    A R J Silalahi
    IOP Conference Series: Materials Science and Engineering.2021; 1115(1): 012018.     CrossRef
  • Cancer Progress and Priorities: Breast Cancer
    Serena C. Houghton, Susan E. Hankinson
    Cancer Epidemiology, Biomarkers & Prevention.2021; 30(5): 822.     CrossRef
  • Enhancing the Screening Efficiency of Breast Cancer by Combining Conventional Medical Imaging Examinations With Circulating Tumor Cells
    Yang Gao, Wan-Hung Fan, Chaohui Duan, Wenhe Zhao, Jun Zhang, Xixiong Kang
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Comparison of the diagnostic performances of circulating tumor cells and the serum tumor markers CEA, CA125, and CA15-3 for breast cancer: a retrospective case-control study
    Yi Luan, Jie Wei, Ke Wang, Donghao Cai, Xiaohong Luo, Wanhung Fan, Haijiang Wang, Chaohui Duan
    Journal of Bio-X Research.2021; 4(2): 60.     CrossRef
  • Meme kanseri olan Türk kadın hastalarda meme dansitesinin klinik ve patolojik bulgularla ilişkileri
    Nihan TURHAN, Dilek YILMAZ, Levent YEŞİLYURT
    Pamukkale Medical Journal.2021;[Epub]     CrossRef
  • Evidence and assessment of parenchymal patterns of ultrasonography for breast cancer detection among Chinese women: a cross-sectional study
    Zhongtao Bao, Yanchun Zhao, Shuqiang Chen, Xiaoyu Chen, Xiang Xu, Linglin Wei, Ling Chen
    BMC Medical Imaging.2021;[Epub]     CrossRef
  • The Relationship Between Breast Density Change During Menopause and the Risk of Breast Cancer in Korean Women
    Danbee Kang, Ji-Yeon Kim, Ji-Young Kim, Han Song Mun, Sook Ja Yoon, Jieun Lee, Gayeon Han, Young-Hyuck Im, Soo-Young Shin, Se Kyung Lee, Jong-Han Yu, Kyung-Hyun Lee, Mincheol Kim, Dohyun Park, Yoon-Ho Choi, Ok Soon Jeong, Jean Hyoung Lee, Se Yong Jekal, J
    Cancer Prevention Research.2021; 14(12): 1119.     CrossRef
  • Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection
    Mio Adachi, Tsuyoshi Nakagawa, Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Goshi Oda, Takamaro Kikkawa
    Diagnostics.2021; 12(1): 27.     CrossRef
  • Primary prevention of breast cancer
    V.F. Levshin
    Profilakticheskaya meditsina.2021; 24(11): 117.     CrossRef
  • Immigration history, lifestyle characteristics, and breast density in the Vietnamese American Women’s Health Study: a cross-sectional analysis
    Eunjung Lee, Namphuong Doanvo, MiHee Lee, Zayar Soe, Alice W. Lee, Cam Van Doan, Dennis Deapen, Giske Ursin, Darcy Spicer, Peggy Reynolds, Anna H. Wu
    Cancer Causes & Control.2020; 31(2): 127.     CrossRef
  • Long-Term Outcomes of Immediate Autologous Breast Reconstruction for Breast Cancer Patients
    Akimitsu Yamada, Kazutaka Narui, Toshihiko Satake, Shoko Adachi, Mikiko Tanabe, Daisuke Shimizu, Takashi Ishikawa, Itaru Endo
    Journal of Surgical Research.2020; 251: 78.     CrossRef
  • Density of breast: An independent risk factor for developing breast cancer, a prospective study at two premium breast centers
    Chia Hwee Lo, Xin Ying Chai, Shirley Shy Wen Ting, Sze Chao Ang, Xinlin Chin, Lay Teng Tan, Peeroo Saania, Tuan Nur' Azmah Tuan Mat, Seniyah Mat Sikin, Anil Gandhi
    Cancer Medicine.2020; 9(9): 3244.     CrossRef
  • A Review of Breast Density Implications and Breast Cancer Screening
    Jingge Lian, Kangan Li
    Clinical Breast Cancer.2020; 20(4): 283.     CrossRef
  • Breast Cancer Incidence Trends by Estrogen Receptor Status Among Asian American Ethnic Groups, 1990–2014
    Alyssa W Tuan, Brittny C Davis Lynn, Pavel Chernyavskiy, Mandi Yu, Scarlett L Gomez, Gretchen L Gierach, Philip S Rosenberg
    JNCI Cancer Spectrum.2020;[Epub]     CrossRef
  • Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis
    Wei-Hsin Yuan, Hui-Chen Hsu, Ying-Yuan Chen, Chia-Hung Wu
    British Journal of Cancer.2020; 123(4): 673.     CrossRef
  • Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women
    Eun Young Kim, Yoosoo Chang, Jiin Ahn, Ji‐Sup Yun, Yong Lai Park, Chan Heun Park, Hocheol Shin, Seungho Ryu
    Cancer.2020; 126(21): 4687.     CrossRef
  • Evaluation of automated volumetric breast density software in comparison with visual assessments in an Asian population
    Kartini Rahmat, Nazimah Ab Mumin, Marlina Tanty Ramli Hamid, Farhana Fadzli, Wei Lin Ng, Nadia Fareeda Muhammad Gowdh
    Medicine.2020; 99(39): e22405.     CrossRef
  • How can additional ultrasonography screening improve the detection of occult breast cancer in women with dense breasts?
    Parisa Pishdad, Ameneh Moosavi, Reza Jalli, Fariba Zarei, Mahdi Saeedi-Moghadam, Banafsheh Zeinali-Rafsanjani
    Polish Journal of Radiology.2020; 85: 353.     CrossRef
  • Prevalence of Women with Dense Breasts in Korea: Results from a Nationwide Cross-sectional Study
    Hye-Mi Jo, Eun Hye Lee, Kyungran Ko, Bong Joo Kang, Joo Hee Cha, Ann Yi, Hae Kyoung Jung, Jae Kwan Jun
    Cancer Research and Treatment.2019; 51(4): 1295.     CrossRef
  • Methodological Challenges and Updated Findings from a Meta-analysis of the Association between Mammographic Density and Breast Cancer
    Daniela Bond-Smith, Jennifer Stone
    Cancer Epidemiology, Biomarkers & Prevention.2019; 28(1): 22.     CrossRef
  • The role of breast tomosynthesis in a predominantly dense breast population at a tertiary breast centre: breast density assessment and diagnostic performance in comparison with MRI
    Daniel Förnvik, Masako Kataoka, Mami Iima, Akane Ohashi, Shotaro Kanao, Masakazu Toi, Kaori Togashi
    European Radiology.2018; 28(8): 3194.     CrossRef
  • Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?
    Sergio J. Sanabria, Orcun Goksel, Katharina Martini, Serafino Forte, Thomas Frauenfelder, Rahel A. Kubik-Huch, Marga B. Rominger
    European Radiology.2018; 28(8): 3165.     CrossRef
  • The Role of Matricellular Proteins and Tissue Stiffness in Breast Cancer: A Systematic Review
    Sirio Fiorino, Salomone Di Saverio, Paolo Leandri, Andrea Tura, Chiara Birtolo, Mauro Silingardi, Dario de Biase, Eli Avisar
    Future Oncology.2018; 14(16): 1601.     CrossRef
  • Molecular mechanisms of the preventable causes of cancer in the United States
    Erica A. Golemis, Paul Scheet, Tim N. Beck, Eward M. Scolnick, David J. Hunter, Ernest Hawk, Nancy Hopkins
    Genes & Development.2018; 32(13-14): 868.     CrossRef
  • Inactivated Sendai virus particle upregulates cancer cell expression of intercellular adhesion molecule‐1 and enhances natural killer cell sensitivity on cancer cells
    Simin Li, Tomoyuki Nishikawa, Yasufumi Kaneda
    Cancer Science.2017; 108(12): 2333.     CrossRef
Hormone Replacement Therapy and Risk of Breast Cancer in Korean Women: A Quantitative Systematic Review
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2015;48(5):225-230.   Published online September 16, 2015
DOI: https://doi.org/10.3961/jpmph.15.046
  • 12,859 View
  • 163 Download
  • 18 Crossref
AbstractAbstract PDF
Objectives
The epidemiological characteristics of breast cancer incidence by age group in Korean women are unique. This systematic review aimed to investigate the association between hormone replacement therapy (HRT) and breast cancer risk in Korean women.
Methods
We searched electronic databases such as KoreaMed, KMbase, KISS, and RISS4U as well as PubMed for publications on Korean breast cancer patients. We also conducted manual searching based on references and citations in potential papers. All of the analytically epidemiologic studies that obtained individual data on HRT exposure and breast cancer occurrence in Korean women were selected. We restricted the inclusion of case-control studies to those that included age-matched controls. Estimates of summary odds ratio (SOR) with 95% confidence intervals (CIs) were calculated using random effect models.
Results
One cohort and five case-control studies were finally selected. Based on the heterogeneity that existed among the six studies (I-squared=70.2%), a random effect model was applied. The summary effect size of HRT history from the six articles indicated no statistical significance in breast cancer risk (SOR, 0.983; 95% CI, 0.620 to 1.556).
Conclusions
These facts support no significant effect of HRT history in the risk of breast cancer in Korean women. It is necessary to conduct a pooled analysis.
Summary

Citations

Citations to this article as recorded by  
  • Attitude, Practices, and Barriers to Menopausal Hormone Therapy Among Physicians in Saudi Arabia
    Rayan A Qutob, Abdullah Alaryni, Eysa N Alsolamy, Khalid Al Harbi, Yousef Alammari, Abdulrahman Alanazi, Mohanad Khalid Almaimani, Enad Alsolami, Osamah A Hakami, Asail Ahmed Alammar, Raghad Z Abuthyab, Lana Hesham Alabdulkarim, Razan Khaled Aldeham, Noor
    Cureus.2024;[Epub]     CrossRef
  • Causes and Risk Factors of Breast Cancer, What Do We Know for Sure? An Evidence Synthesis of Systematic Reviews and Meta-Analyses
    Borghild Løyland, Ida Hellum Sandbekken, Ellen Karine Grov, Inger Utne
    Cancers.2024; 16(8): 1583.     CrossRef
  • Menopoz-Sonrası Dönemde Meme Kanseri Gelişiminde Beslenme Alışkanlıkları ve Yaşam Kalitesi Etkili mi?
    Burçak ÇUBUKÇU, Fatma TAYHAN KARTAL, Gözde EDE
    Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi.2023; 12(3): 1301.     CrossRef
  • Expansion of chemical space based on a pyrrolo[1,2-a]pyrazine core: Synthesis and its anticancer activity in prostate cancer and breast cancer cells
    Yohan Seo, Jeong Hwa Lee, So-hyeon Park, Wan Namkung, Ikyon Kim
    European Journal of Medicinal Chemistry.2020; 188: 111988.     CrossRef
  • Validating Breast Cancer Risk Prediction Models in the Korean Cancer Prevention Study-II Biobank
    Yon Ho Jee, Chi Gao, Jihye Kim, Seho Park, Sun Ha Jee, Peter Kraft
    Cancer Epidemiology, Biomarkers & Prevention.2020; 29(6): 1271.     CrossRef
  • Breast cancer risk factors in Iran: a systematic review & meta-analysis
    Amir Shamshirian, Keyvan Heydari, Zahra Shams, Amir Reza Aref, Danial Shamshirian, Omid Reza Tamtaji, Zatollah Asemi, Layla Shojaie, Hamed Mirzaei, Neda Mohammadi, Behdad Zibaee, Keyvan Karimifar, Bahman Zarandi, Akbar Hedayatizadeh-Omran, Reza Alizadeh-N
    Hormone Molecular Biology and Clinical Investigation.2020;[Epub]     CrossRef
  • Frailty Is Inversely Related to Age at Menopause and Elevated in Women Who Have Had a Hysterectomy: An Analysis of the Canadian Longitudinal Study on Aging
    Chris P Verschoor, Hala Tamim
    The Journals of Gerontology: Series A.2019; 74(5): 675.     CrossRef
  • Hormone therapy as risk factor of breast cancer modulated by diagnostic and lifestyle risk factors in Taiwan-A National Cohort study
    Po-Huang Chiang, Feng-Hsiang Tang, Eing-Mei Tsai, Yen-Chen Chang, Chun-Yuh Yang
    The Breast Journal.2019; 25(3): 531.     CrossRef
  • Cimicifuga heracleifolia is therapeutically similar to black cohosh in relieving menopausal symptoms: evidence from pharmacological and metabolomics studies
    Lan-Yun MIAO, Thi Thanh Huyen CHU, Ping LI, Yan JIANG, Hui-Jun LI
    Chinese Journal of Natural Medicines.2019; 17(6): 435.     CrossRef
  • Epidemiological characteristics of breast cancer in Koreans
    Sue K. Park
    Journal of the Korean Medical Association.2019; 62(8): 424.     CrossRef
  • Screening breast magnetic resonance imaging in women with hormone replacement therapy
    Feng Zhang, Qingjing Feng, Zhiyong Zhang, Yanjun Hu, Zhifeng Zhang
    European Journal of Medical Research.2018;[Epub]     CrossRef
  • Menopause as a potential cause for higher prevalence of low back pain in women than in age-matched men
    Yi Xiang J. Wang
    Journal of Orthopaedic Translation.2017; 8: 1.     CrossRef
  • Bsm1 Gene polymorphism of the vitamin D receptor in breast cancer patients: influence of obesity and relevant drugs
    Noha Mohammed Ali Haikal, Mona Abo-Bakr El-Hussiny, Omar Farouk, Ekbal Mohammed Abo Hashem
    Comparative Clinical Pathology.2017; 26(1): 127.     CrossRef
  • Breast Cancer Status in Iran: Statistical Analysis of 3010 Cases between 1998 and 2014
    Mohammad Esmaeil Akbari, Soheila Sayad, Saed Sayad, Maryam Khayamzadeh, Leila Shojaee, Zeynab Shormeji, Mojtaba Amiri
    International Journal of Breast Cancer.2017; 2017: 1.     CrossRef
  • Age-associated prognostic and predictive biomarkers in patients with breast cancer
    Markéta Kolečková, Zdeněk Kolář, Jiří Ehrmann, Gabriela Kořínková, Radek Trojanec
    Oncology Letters.2017; 13(6): 4201.     CrossRef
  • Epstein-Barr Virus and Gastric Cancer Risk: A Meta-analysis With Meta-regression of Case-control Studies
    Jong-Myon Bae, Eun Hee Kim
    Journal of Preventive Medicine and Public Health.2016; 49(2): 97.     CrossRef
  • Helicobacter pylori Infection and Risk of Gastric Cancer in Korea: A Quantitative Systematic Review
    Jong-Myon Bae, Eun Hee Kim
    Journal of Preventive Medicine and Public Health.2016; 49(4): 197.     CrossRef
  • The Risk of Breast Cancer in Women Using Menopausal Hormone Replacement Therapy in Taiwan
    Jui-Yao Liu, Tzeng-Ji Chen, Shinn-Jang Hwang
    International Journal of Environmental Research and Public Health.2016; 13(5): 482.     CrossRef
Original Articles
Rates of Change to a Positive Result in Subsequent Screening Mammography in Korean Women: A Retrospective Observational Study
Jong-Myon Bae, Sang Yop Shin, Eun Hee Kim, Yoon-Nam Kim, Chung Mo Nam
J Prev Med Public Health. 2015;48(1):48-52.   Published online December 26, 2014
DOI: https://doi.org/10.3961/jpmph.14.042
  • 9,554 View
  • 82 Download
AbstractAbstract PDF
Objectives
This retrospective cohort study aimed at calculating some parameters of changes in the findings of the subsequent screening mammography (SSM) in female Korean volunteers.
Methods
The study included screenees aged 30 to 79 years who underwent SSM voluntarily after testing negative in the baseline screenings performed between January 2007 and December 2011. A change to a positive result was defined as category 4 or 5 by using the American College of Radiology Breast Imaging Reporting and Data System. The proportion of results that had changed to positive (CP, %) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of study participants. The rate of results that had changed to positive (CR, cases per 100 000 screenee-months) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of months of the follow-up period.
Results
The overall CP and CR in all age groups (n=77 908) were 2.26% and 93.94 cases per 100 000 screenee-months, respectively. The median CP interval in the subjects who had positive SSM results was 30 to 36 months, while that in the age group of 30 to 39 years was shorter.
Conclusions
Different screening intervals should be considered among women aged between 30 and 59 years. In addition, a strategy for a screening program should be developed for the age group of 30 to 39 years, in particular.
Summary
Association of Selected Medical Conditions With Breast Cancer Risk in Korea
Sun Jae Jung, Minkyo Song, Ji-Yeob Choi, Nan Song, Sue Kyung Park, Keun-Young Yoo, Daehee Kang
J Prev Med Public Health. 2013;46(6):346-352.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.346
  • 9,976 View
  • 94 Download
  • 12 Crossref
AbstractAbstract PDF
Objectives

To estimate the effect of medical conditions in the population of Korea on breast cancer risk in a case-control study.

Methods

The cases were 3242 women with incident, histologically confirmed breast cancer in two major hospitals interviewed between 2001 and 2007. The controls were 1818 women each admitted to either of those two hospitals for a variety of non-neoplastic conditions. Information on each disease was obtained from a standardized questionnaire by trained personnel. Odds ratios (ORs) for each disease were derived from multiple logistic regression adjusted for age, age of menarche, pregnancy, age of first pregnancy, and family history of breast cancer.

Results

Among all of the incident breast cancer patients, pre-existing diabetes (OR, 1.33; 95% confidence interval [CI], 0.99 to 1.78), hypertension (OR, 1.46; 95% CI, 1.18 to 1.83), thyroid diseases (OR, 1.26; 95% CI, 1.00 to 1.58), and ovarian diseases (OR, 1.70; 95% CI, 1.23 to 2.35) were associated with an increased risk of breast cancer when other factors were adjusted for. In a stratified analysis by menopausal status, pre-existing hypertension (pre-menopause OR, 0.80; 95% CI, 0.48 to 1.34 vs. post-menopause OR, 1.87; 95% CI, 1.44 to 2.43; p-heterogeneity <0.01) and ovarian disease (pre-menopause OR, 4.20; 95% CI, 1.91 to 9.24 vs. post-menopause OR, 1.39; 95% CI, 1.02 to 1.91; p-heterogeneity 0.01) showed significantly different risks of breast cancer.

Conclusions

Our results suggest the possibility that medical conditions such as hypertension affect breast cancer development, and that this can differ by menopausal status. Our study also indicates a possible correlation between ovarian diseases and breast cancer risk.

Summary

Citations

Citations to this article as recorded by  
  • Diabetes and incidence of breast cancer and its molecular subtypes: A systematic review and meta‐analysis
    Fanxiu Xiong, Qichen Dai, Sihan Zhang, Stephen Bent, Peggy Tahir, Erin L. Van Blarigan, Stacey A. Kenfield, June M. Chan, Gabriela Schmajuk, Rebecca E. Graff
    Diabetes/Metabolism Research and Reviews.2024;[Epub]     CrossRef
  • Reverse Onco-Cardiology: What Is the Evidence for Breast Cancer? A Systematic Review of the Literature
    Ioannis Boutas, Adamantia Kontogeorgi, Sophia N. Kalantaridou, Constantine Dimitrakakis, Panagiotis Patsios, Maria Kalantzi, Theodoros Xanthos
    International Journal of Molecular Sciences.2023; 24(22): 16500.     CrossRef
  • Association of Hypertension and Organ-Specific Cancer: A Meta-Analysis
    Morgan Connaughton, Mahsa Dabagh
    Healthcare.2022; 10(6): 1074.     CrossRef
  • Association between blood pressure and risk of cancer development: a systematic review and meta-analysis of observational studies
    Aristeidis Seretis, Sofia Cividini, Georgios Markozannes, Xanthippi Tseretopoulou, David S. Lopez, Evangelia E. Ntzani, Konstantinos K. Tsilidis
    Scientific Reports.2019;[Epub]     CrossRef
  • Risk of breast cancer among women with benign ovarian tumors: a Danish nationwide cohort study
    Mathilde Gottschau, Allan Jensen, Kristian Reinholdt, Sonia Guleria, Christian Munk, Lene Mellemkjær, Susanne K. Kjær
    Breast Cancer Research and Treatment.2019; 178(1): 199.     CrossRef
  • Detection of human papillomavirus DNA in tumors from Rwandese breast cancer patients
    Thierry Habyarimana, Mohammed Attaleb, Jean Baptiste Mazarati, Youssef Bakri, Mohammed El Mzibri
    Breast Cancer.2018; 25(2): 127.     CrossRef
  • Association between glutathione peroxidase 1 codon 198 variant and the occurrence of breast cancer in Rwanda
    Thierry Habyarimana, Youssef Bakri, Pacifique Mugenzi, Jean Baptiste Mazarati, Mohammed Attaleb, Mohammed El Mzibri
    Molecular Genetics & Genomic Medicine.2018; 6(2): 268.     CrossRef
  • Hypertension and breast cancer risk: a systematic review and meta-analysis
    Hedong Han, Wei Guo, Wentao Shi, Yamei Yu, Yunshuo Zhang, Xiaofei Ye, Jia He
    Scientific Reports.2017;[Epub]     CrossRef
  • Cancer du sein et diabète de type 2 : des interactions complexes
    L. Bernard, N. Reix, J.-C. Benabu, V. Gabriele, C. Mathelin
    Gynécologie Obstétrique & Fertilité.2016; 44(12): 701.     CrossRef
  • Associations between Medical Conditions and Breast Cancer Risk in Asians: A Nationwide Population-Based Study in Taiwan
    Shu-Chun Chuang, Guo-Jie Wu, Yen-Shen Lu, Ching-Hung Lin, Chao Agnes Hsiung, Pei-Yi Chu
    PLOS ONE.2015; 10(11): e0143410.     CrossRef
  • Detection of MMTV-Like sequences in Moroccan breast cancer cases
    Meriem Slaoui, Mohammed El Mzibri, Rachid Razine, Zineb Qmichou, Mohammed Attaleb, Mariam Amrani
    Infectious Agents and Cancer.2014;[Epub]     CrossRef
  • Insulin therapy and colorectal cancer risk among type 2 diabetes mellitus patients: a systemic review and meta-analysis
    Shinan Yin, Hua Bai, Danqing Jing
    Diagnostic Pathology.2014;[Epub]     CrossRef
Incidence of Female Breast Cancer in a Defined Area in Korea.
Keun Young Yoo, Sue Kyung Park, Joo Hon Sung, Dong Young Noh, Kuk Jin Choe
Korean J Prev Med. 1998;31(4):592-603.
  • 2,050 View
  • 22 Download
AbstractAbstract PDF
This study was conducted to estimate incidence rate of female breast cancer in a defined area of Chungchongbuk-do in Korea. The presumptive breast cancer cases were selected from two different sources, i.e., medical utilization database of the National Health Insurance Corporation and the database from the National Cancer Registry. Medical students visited each hospital where the presumptive cases had been treated as a breast cancer patient, and made a dictation of medical record of each patient based on the claims stored in the Insurance Corporation from January to December 1995. The diagnoses in the claims included one of the following diagnostic codes; ICD-9 174-175(malignant neoplasms of the breast), 233(carcinoma in situ of the breast and genito-urinary system)or ICD-10 C50(malignant neoplasms of the breast), D05(carcinoma in situ of the breast and genito-urinary system). Each case has been confirmed as having a breast cancer by a breast surgeon through a medical record review. Age-standardized incidence rate of female breast cancer to the Korean population was estimated to be 10.5(95%confidence interval : 8.1-12.9)per 100,000 persons in 1995. Age-standardized rate to the world population was 9.8 per 100,000 persons, and the truncated rate for ages 35-64 was 27.2 per 100,000 persons. Validity of these estimates is discussing in comparison with previous methods of incidence estimation in Korea.
Summary

JPMPH : Journal of Preventive Medicine and Public Health