Cancer Research and Treatment

Original Articles

Lifestyle Risk Prediction Model for Prostate Cancer in a Korean Population: Sung Han Kim, Sohee Kim, Jae Young Joung, Whi-An Kwon, Ho Kyung Seo, Jinsoo Chung, Byung-Ho Nam, Kang Hyun Lee; Cancer Res Treat. 2018;50(4):1194-1202. Published online December 21, 2017; DOI: https://doi.org/10.4143/crt.2017.484

Abstract PDF Supplementary Material PubReader ePub

Purpose
The use of prostate-specific antigen as a biomarker for prostate cancer (PC) has been controversial and is, therefore, not used by many countries in their national health screening programs. The biological characteristics of PC in East Asians including Koreans and Japanese are different from those in the Western populations. Potential lifestyle risk factors for PC were evaluated with the aim of developing a risk prediction model.
Materials and Methods
A total of 1,179,172 Korean men who were cancer free from 1996 to 1997, had taken a physical examination, and completed a lifestyle questionnaire, were enrolled in our study to predict their risk for PC for the next eight years, using the Cox proportional hazards model. The model’s performance was evaluated using the C-statistic and Hosmer‒Lemeshow type chi-square statistics.
Results
The risk prediction model studied age, height, body mass index, glucose levels, family history of cancer, the frequency of meat consumption, alcohol consumption, smoking status, and physical activity, which were all significant risk factors in a univariate analysis. The model performed very well (C statistic, 0.887; 95% confidence interval, 0.879 to 0.895) and estimated an elevated PC risk in patients who did not consume alcohol or smoke, compared to heavy alcohol consumers (hazard ratio [HR], 0.78) and current smokers (HR, 0.73) (p < 0.001).
Conclusion
This model can be used for identifying Korean and other East Asian men who are at a high risk for developing PC, as well as for cancer screening and developing preventive health strategies.

Citations

Citations to this article as recorded by

To Drink or Not to Drink? Investigating Alcohol’s Impact on Prostate Cancer Risk
Aris Kaltsas, Michael Chrisofos, Evangelos N. Symeonidis, Athanasios Zachariou, Marios Stavropoulos, Zisis Kratiras, Ilias Giannakodimos, Asterios Symeonidis, Fotios Dimitriadis, Nikolaos Sofikitis
Cancers.2024; 16(20): 3453. CrossRef
Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study
Tao Thi Tran, Jeonghee Lee, Junetae Kim, Sun-Young Kim, Hyunsoon Cho, Jeongseon Kim
BMC Public Health.2024;[Epub] CrossRef
Combinations of lifestyle behaviors and cancer risk among Korean adults
Ngoc Minh Luu, Thi Tra Bui, Thi Phuong Thao Tran, Thi Huyen Trang Nguyen, Jin-Kyoung Oh
Scientific Reports.2023;[Epub] CrossRef
Cigarette smoking and prostate cancer: A systematic review and meta-analysis of prospective cohort studies
Sarah Al-Fayez, Ashraf El-Metwally
Tobacco Induced Diseases.2023; 21(February): 1. CrossRef
Prostate cancer risk prediction based on clinical factors and prostate-specific antigen
Taewon Hwang, Hyungseok Oh, Jung Ah Lee, Eo Jin Kim
BMC Urology.2023;[Epub] CrossRef
Association Between Red and Processed Meat Consumption and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis
Saeedeh Nouri-Majd, Asma Salari-Moghaddam, Azadeh Aminianfar, Bagher Larijani, Ahmad Esmaillzadeh
Frontiers in Nutrition.2022;[Epub] CrossRef
Alcohol and Prostate Cancer: Time to Draw Conclusions
Amanda J. Macke, Armen Petrosyan
Biomolecules.2022; 12(3): 375. CrossRef
Diagnostic accuracy of prostate-specific antigen below 4 ng/mL as a cutoff for diagnosing prostate cancer in a hospital setting: A systematic review and meta-analysis
Yan Jin, Jae Hung Jung, Woong Kyu Han, Eu Chang Hwang, Yoonmi Nho, Narae Lee, Ji Eun Yun, Kwang Suk Lee, Sang Hyub Lee, Hakmin Lee, Su-Yeon Yu
Investigative and Clinical Urology.2022; 63(3): 251. CrossRef
Association between Relative Preference for Vegetables and Meat and Cancer Incidence in Korean Adults: A Nationwide Population-based Retrospective Cohort Study
Ga-Eun Yie, An Na Kim, Hyun Jeong Cho, Minji Kang, Sungji Moon, Inah Kim, Kwang-Pil Ko, Jung Eun Lee, Sue K. Park
Korean Journal of Community Nutrition.2021; 26(3): 211. CrossRef
Prostate Cancer Risk Calculators for Healthy Populations: Systematic Review
Antonio Bandala-Jacques, Kevin Daniel Castellanos Esquivel, Fernanda Pérez-Hurtado, Cristobal Hernández-Silva, Nancy Reynoso-Noverón
JMIR Cancer.2021; 7(3): e30430. CrossRef
Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data
Yohwan Yeo, Dong Wook Shin, Jungkwon Lee, Kyungdo Han, Sang Hyun Park, Keun Hye Jeon, Jungeun Shin, Aesun Shin, Jinsung Park
Journal of Personalized Medicine.2021; 12(1): 2. CrossRef
Lifestyles, health habits, and prostate cancer
Tomoyuki Kawada
Journal of Cancer Research and Clinical Oncology.2020; 146(6): 1623. CrossRef
Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer
Okyaz Eminaga, Omran Al-Hamad, Martin Boegemann, Bernhard Breil, Axel Semjonow
Health Informatics Journal.2020; 26(2): 945. CrossRef
Tailored Biofunctionalized Biosensor for the Label-Free Sensing of Prostate-Specific Antigen
Sachin Mishra, Eun-Seong Kim, Parshant Kumar Sharma, Zhi-Ji Wang, Sung-Hyun Yang, Ajeet Kumar Kaushik, Cong Wang, Yang Li, Nam-Young Kim
ACS Applied Bio Materials.2020; 3(11): 7821. CrossRef
A Study on Risk Factors of the Incidence of Prostate Cancer Using National Health Insurance Service: Effects of BMI on Age
Hye Sim Kim, Tae Hwa Go, Dae Ryong Kang, Jae Hung Jung, Sung Won Kwon, Sae Chul Kim, Jae Mann Song, Hyun Chul Chung, Sang Baek Koh
Journal of Health Informatics and Statistics.2019; 44(4): 410. CrossRef

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13 Web of Science
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Risk Factors of Female Breast Cancer in Vietnam: A Case-Control Study: Phuong Dung (Yun) Trieu, Claudia Mello-Thoms, Jennifer K. Peat, Thuan Doan Do, Patrick C. Brennan; Cancer Res Treat. 2017;49(4):990-1000. Published online February 20, 2017; DOI: https://doi.org/10.4143/crt.2016.488

Abstract PDF PubReader ePub

Purpose
Rates of women with breast cancer have increased rapidly in recent years in Vietnam, with over 10,000 new patients contracting the disease every year. This study was conducted to identify demographic, reproductive and lifestyle risk factors for breast cancer in Vietnam.
Materials and Methods
Breast density, demographic, reproductive and lifestyle data of 269 women with breast cancer and 519 age-matched controls were collected in the two largest oncology hospitals in Vietnam (one in the north and one in the south). Baseline differences between cases and controls in all women, premenopausal and postmenopausal women were assessed using chi-squared tests and independent t tests. Conditional logistic regressionwas used to derive odds ratios (OR) for factors that had statistically significant associations with breast cancer.
Results
Vietnamesewomenwith breast cancerwere significantly more likely to have a breast density > 75% (OR, 1.7), be younger than 14 years at first menstrual period (OR, 2.2), be postmenopausal (OR, 2.0), have less than three pregnancies (OR, 2.1), and have less than two babies (OR, 1.7). High breast density (OR, 1.6), early age at first menstrual period (OR, 2.6), low number of pregnancies (OR, 2.3), hormone use (OR, 1.8), and no physical activities (OR, 2.2) were significantly associated with breast cancer among premenopausal women, while breast density (OR, 2.0), age at first menstrual period (OR, 1.8), number of pregnancies (OR, 2.3), and number of live births (OR, 2.4) were the risk factors for postmenopausal women.
Conclusion
Breast density, age at first menarche, menopause status, number of pregnancies, number of babies born, hormone use and physical activitieswere significantly associatedwith breast cancer in Vietnamese women.

Citations

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Seid Fentaw, Anteneh Godana, Dawit Abathun, Dessie Melese Chekole
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Journal of Nursing Research.2023; 31(2): e265. CrossRef
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Heran Wang, Robert J. MacInnis, Shuai Li
BMC Medicine.2023;[Epub] CrossRef
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Ngoc Nguyen Bao, Ngan Thu Tran, Chris Jenkins, Hoang Van Minh, Phuong Tran Bich, Helene Johansson
Social Work in Public Health.2023; 38(5-8): 416. CrossRef
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Journal of Immunology Research.2022; 2022: 1. CrossRef
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So-Jung Park, Hye-Ah Yeom
Korean Journal of Women Health Nursing.2022; 28(2): 145. CrossRef
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Lidia Tolessa, Endalew Gemechu Sendo, Negalign Getahun Dinegde, Assefa Desalew
International Journal of Women's Health.2021; Volume 13: 101. CrossRef
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Dung X. Pham, Thao-Quyen H. Ho, Tung D. Bui, Lan T. Ho-Pham, Tuan V. Nguyen, Mohammad R. Akbari
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Fatmah J. Alsolami, Firas S. Azzeh, Khloud J. Ghafouri, Mazen M. Ghaith, Riyad A. Almaimani, Hussain A. Almasmoum, Rwaa H. Abdulal, Wesam H. Abdulaal, Abdelelah S. Jazar, Sufyan H. Tashtoush
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International Journal of Preventive Medicine.2019; 10(1): 192. CrossRef

10,725 View
463 Download
15 Web of Science
16 Crossref

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