Suleman Atique1, Chung-Ho Hsieh2, Ruei-Ting Hsiao3, Usman Iqbal4, Phung Anh Alex Nguyen2, Md Mohaimenul Islam1, Yu-Chuan Jack Li5, Chien-Yeh Hsu6, Ting-Wu Chuang7, Shabbir Syed-Abdul8. 1. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology (CoMST), Taipei Medical University Taiwan, Wuxing Street 250, Xinyi 11031, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan. 2. Department of General Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan; Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan, ROC. 3. Institute of Biomedical Informatics, National Yang-Ming University, Taiwan. 4. International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan; Global Health and Development Deparrtment, College of Public health, Taipei Medical University, Taipei, Taiwan; Health Informatics Unit, COMSATS Institute of Information Technology, Islamabad, Pakistan. 5. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology (CoMST), Taipei Medical University Taiwan, Wuxing Street 250, Xinyi 11031, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan; Department. of Dermatology, Wan Fang Hospital, Taipei, Taiwan. 6. Global Health and Development Deparrtment, College of Public health, Taipei Medical University, Taipei, Taiwan; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan. 7. Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. 8. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology (CoMST), Taipei Medical University Taiwan, Wuxing Street 250, Xinyi 11031, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan. Electronic address: drshabbir@tmu.edu.tw.
Abstract
INTRODUCTION: There have been several reports on the role of human papillomavirus (HPV) in the etiology of breast cancer. To our knowledge, this is first study to use disease-disease association data-mining approach to analyzing viral warts and breast cancer to be conducted in Taiwanese population. MATERIALS AND METHODS: We analyzed the Taiwan's National Health Insurance database (NHIDM data comprising of 23 million patient data) to examine the association between viral warts and female breast carcinoma. The patients were categorized into three groups: breast cancer only, viral warts only, and those with both breast cancer and viral warts. The Cox proportion hazard regression analysis was used to measure the effect of HPV on the time to breast cancer diagnosis. Multivariable analyzes and stratified analyzes using hazard ratios (HRs) were presented with 95% confidence intervals (CIs) after adjusting for age, and CCI. RESULT: Among 807,578 HPV population, we identified 6014 breast cancer cases. The HPV group was associated with a significantly higher risk of developing breast cancer (HR, 1.18; 95% CI, 1.15-1.21; p< 0.001) compared with the non-HPV group. HPV patients with age group 18-39 was slightly higher risk of breast cancer occurrence (HR, 1.07; 95% CI, 1.01-1.13; p<.05). The risk of breast cancer in 10-year incidence was 7% higher for females less than 40 years and 23% for over 40 year's patients when compared with non-HPV patients of the same age group. CONCLUSION: Our study indicates that women who develop viral warts are at a significantly higher risk of developing breast cancer than women who have not diagnosed with viral warts. Thus, the presence of viral warts is a potential risk to breast cancer. Therefore, we suggest patients diagnosed with viral warts may get early screening for breast cancer.
INTRODUCTION: There have been several reports on the role of human papillomavirus (HPV) in the etiology of breast cancer. To our knowledge, this is first study to use disease-disease association data-mining approach to analyzing viral warts and breast cancer to be conducted in Taiwanese population. MATERIALS AND METHODS: We analyzed the Taiwan's National Health Insurance database (NHIDM data comprising of 23 million patient data) to examine the association between viral warts and female breast carcinoma. The patients were categorized into three groups: breast cancer only, viral warts only, and those with both breast cancer and viral warts. The Cox proportion hazard regression analysis was used to measure the effect of HPV on the time to breast cancer diagnosis. Multivariable analyzes and stratified analyzes using hazard ratios (HRs) were presented with 95% confidence intervals (CIs) after adjusting for age, and CCI. RESULT: Among 807,578 HPV population, we identified 6014 breast cancer cases. The HPV group was associated with a significantly higher risk of developing breast cancer (HR, 1.18; 95% CI, 1.15-1.21; p< 0.001) compared with the non-HPV group. HPVpatients with age group 18-39 was slightly higher risk of breast cancer occurrence (HR, 1.07; 95% CI, 1.01-1.13; p<.05). The risk of breast cancer in 10-year incidence was 7% higher for females less than 40 years and 23% for over 40 year's patients when compared with non-HPVpatients of the same age group. CONCLUSION: Our study indicates that women who develop viral warts are at a significantly higher risk of developing breast cancer than women who have not diagnosed with viral warts. Thus, the presence of viral warts is a potential risk to breast cancer. Therefore, we suggest patients diagnosed with viral warts may get early screening for breast cancer.