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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Second Primary Cancer Risk among Kidney Cancer Patients in Korea: A Population-Based Cohort Study: Jae Young Joung, Whi-An Kwon, Jiwon Lim, Chang-Mo Oh, Kyu-Won Jung, Sung Han Kim, Ho Kyung Seo, Weon Seo Park, Jinsoo Chung, Kang Hyun Lee, Young-Joo Won; Cancer Res Treat. 2018;50(1):293-301. Published online April 19, 2017; DOI: https://doi.org/10.4143/crt.2016.543

Abstract PDF Supplementary Material PubReader ePub

Purpose
Secondary primary cancers (SPCs) commonly arise in patients with renal cell carcinoma (RCC). We designed the present study to estimate the SPC incidence in Korean patients with RCC.
Materials and Methods
The study cohort was population-based and consisted of 40,347 individuals from the Korean Central Cancer Registry who were diagnosed with primary renal cancer between 1993 and 2013. Standardized incidence ratios (SIRs) for SPCs were estimated for different ages at diagnosis, latencies, diagnostic periods, and treatments.
Results
For patients with primary RCC, the risk of developing a SPC was higher than the risk of developing cancer in the general population (SIR, 1.13; 95% confidence interval, 1.08 to 1.18). Most cancer types showed higher incidences in patients with RCC than in the general population. However, the relative incidence of gastric cancer as an SPC varied by age. Gastric cancer incidence was elevated in young patients (< 30 years) with RCC, but reduced in older (≥ 30) patients with RCC. Patients with advanced RCC died prematurely, regardless of SPC development. In contrast, those with early-stage RCC survived for longer periods, although SPC development affected their post-RCC survival. After SPC development, women had better survival than men.
Conclusion
In Korean patients with primary RCC, the incidence of SPC was 13% higher than the incidence of cancer in the general population. These findings may play important roles in the conduct of follow-up evaluations and education for patients with RCC.

Citations

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American Journal of Epidemiology.2019; 188(8): 1410. CrossRef
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BMC Cancer.2018;[Epub] CrossRef

11,579 View
267 Download
18 Web of Science
18 Crossref

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