Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan
Abstract Background Breast cancer is an umbrella term referring to a group of biologically and molecularly heterogeneous diseases originating from the breast. Globally, incidences of breast cancer has been increasing dramatically over the past decades. Analyses of multiple clinical “big data” can ai...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-022-09913-6 |
| _version_ | 1828444605566156800 |
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| author | Ping-Hung Liu James Cheng-Chung Wei Yu-Hsun Wang Ming-Hsin Yeh |
| author_facet | Ping-Hung Liu James Cheng-Chung Wei Yu-Hsun Wang Ming-Hsin Yeh |
| author_sort | Ping-Hung Liu |
| collection | DOAJ |
| description | Abstract Background Breast cancer is an umbrella term referring to a group of biologically and molecularly heterogeneous diseases originating from the breast. Globally, incidences of breast cancer has been increasing dramatically over the past decades. Analyses of multiple clinical “big data” can aid us in clarifying the means of preventing the disease. In addition, predisposing risk factors will be the most important issues if we can confirm their relevance. This study aims to provide an overview of the predisposing factors that contribute to a higher possibility of developing breast cancer and emphasize the signs that we ought to pay more attention to. Methods This is a matched nested case-control study. The cohort focused on identifying the eligible risk factors in breast cancer development by data screening (2000-2013) from the Taiwan National Health Insurance Research Database (NHIRD) under approved protocol. A total of 486,069 females were enrolled from a nationwide sampled database, and 3281 females was elligible as breast cancer cohort, 478,574 females who had never diagnosed with breast cancer from 2000 to 2013 were eligible as non-breast cancer controls, and matched to breast cancer cases according to age using a 1:6 ratio. Results We analyzed 3281 breast cancer cases and 19,686 non-breast cancer controls after an age-matched procedure. The significant predisposing factors associated with breast cancer development including obesity, hyperlipidemia, thyroid cancer and liver cancer. As for patients under the age of 55, gastric cancer does seem to have an impact on the development of breast cancer; compared with their counterparts over the age of 55, endometrial cancer appears to exhibit an evocative effect. Conclusions In this nationwide matched nested case-control study, we identified obesity, hyperlipidemia, previous cancers of the thyroid, stomach and liver as risk factors associated with breast cancer. However, the retrospective nature and limited case numbers of certain cancers still difficult to provide robust evidence. Further prospective studies are necessitated to corroborate this finding in order to nip the disease in the bud. Trial registration The studies involving human participants were reviewed and approved by the China Medical University Hospital [CMUH104-REC2-115(AR-4)]. |
| first_indexed | 2024-12-10T21:46:58Z |
| format | Article |
| id | doaj.art-ca6bf0df37444ee5bc9e878982c5fca5 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-10T21:46:58Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-ca6bf0df37444ee5bc9e878982c5fca52022-12-22T01:32:21ZengBMCBMC Cancer1471-24072022-08-012211910.1186/s12885-022-09913-6Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in TaiwanPing-Hung Liu0James Cheng-Chung Wei1Yu-Hsun Wang2Ming-Hsin Yeh3Division of General Surgery, Department of Surgery, Kaohsiung Armed Forces General HospitalDepartment of Allergy, Immunology and Rheumatology, Chung Shan Medical University HospitalDepartment of Medical Research, Chung Shan Medical University HospitalDepartment of Breast and Thyroid Surgery, Chung Shan Medical University HospitalAbstract Background Breast cancer is an umbrella term referring to a group of biologically and molecularly heterogeneous diseases originating from the breast. Globally, incidences of breast cancer has been increasing dramatically over the past decades. Analyses of multiple clinical “big data” can aid us in clarifying the means of preventing the disease. In addition, predisposing risk factors will be the most important issues if we can confirm their relevance. This study aims to provide an overview of the predisposing factors that contribute to a higher possibility of developing breast cancer and emphasize the signs that we ought to pay more attention to. Methods This is a matched nested case-control study. The cohort focused on identifying the eligible risk factors in breast cancer development by data screening (2000-2013) from the Taiwan National Health Insurance Research Database (NHIRD) under approved protocol. A total of 486,069 females were enrolled from a nationwide sampled database, and 3281 females was elligible as breast cancer cohort, 478,574 females who had never diagnosed with breast cancer from 2000 to 2013 were eligible as non-breast cancer controls, and matched to breast cancer cases according to age using a 1:6 ratio. Results We analyzed 3281 breast cancer cases and 19,686 non-breast cancer controls after an age-matched procedure. The significant predisposing factors associated with breast cancer development including obesity, hyperlipidemia, thyroid cancer and liver cancer. As for patients under the age of 55, gastric cancer does seem to have an impact on the development of breast cancer; compared with their counterparts over the age of 55, endometrial cancer appears to exhibit an evocative effect. Conclusions In this nationwide matched nested case-control study, we identified obesity, hyperlipidemia, previous cancers of the thyroid, stomach and liver as risk factors associated with breast cancer. However, the retrospective nature and limited case numbers of certain cancers still difficult to provide robust evidence. Further prospective studies are necessitated to corroborate this finding in order to nip the disease in the bud. Trial registration The studies involving human participants were reviewed and approved by the China Medical University Hospital [CMUH104-REC2-115(AR-4)].https://doi.org/10.1186/s12885-022-09913-6Breast cancerIncidence riskPredisposing factorsMultiple cancersHeredityBig data |
| spellingShingle | Ping-Hung Liu James Cheng-Chung Wei Yu-Hsun Wang Ming-Hsin Yeh Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan BMC Cancer Breast cancer Incidence risk Predisposing factors Multiple cancers Heredity Big data |
| title | Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan |
| title_full | Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan |
| title_fullStr | Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan |
| title_full_unstemmed | Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan |
| title_short | Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan |
| title_sort | female breast cancer incidence predisposing risk factors identification using nationwide big data a matched nested case control study in taiwan |
| topic | Breast cancer Incidence risk Predisposing factors Multiple cancers Heredity Big data |
| url | https://doi.org/10.1186/s12885-022-09913-6 |
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