- The Korea Cohort Consortium: The Future of Pooling Cohort Studies
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Sangjun Lee, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Sun Ha Jee, Aesun Shin, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Daehee Kang, Keun-Young Yoo, Sue K. Park
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J Prev Med Public Health. 2022;55(5):464-474. Published online September 12, 2022
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DOI: https://doi.org/10.3961/jpmph.22.299
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 Abstract
Summary
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- Objectives
We introduced the cohort studies included in the Korea Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies.
Methods
We mainly focused on the characteristics of individual cohort studies from the KCC. We developed “PROFAN”, a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated.
Results
The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102.
Conclusions
We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.
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Summary
Korean summary
한국 코호트 컨소시엄(KCC)은 “2015년 한국의 생활 습관 및 환경 요인에 따른 암 기여분율” 프로젝트의 3단계 과업으로써, 본 프로젝트에 참여한 기존의 구축된 개인 코호트 연구의 연구자들을 주도로 다수의 대규모 한국 코호트 연구를 기반으로 구성되었다. 따라서 본 연구는 KCC에 포함된 한국 코호트 연구를 소개하는 것을 목표로 하였다. 또한 여러 기 확립된 국제 컨소시엄을 기반으로 빅데이터 기반 코호트 풀링 연구의 중요성을 제시하였다.
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Citations
Citations to this article as recorded by  - A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research
Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park
Journal of Preventive Medicine and Public Health.2024; 57(5): 499. CrossRef - Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030
Youjin Hong, Jihye An, Jeehi Jung, Hyeon Sook Lee, Soseul Sung, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Cho
Endocrinology and Metabolism.2024; 39(6): 921. CrossRef - The relationship between regional inequalities in the provision of emergency health services and other health services
Erkan Boğa
Medicine.2023; 102(45): e35930. CrossRef
- Diabetes Mellitus and Site-specific Colorectal Cancer Risk in Korea: A Case-control Study
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Hyeongtaek Woo, Jeeyoo Lee, Jeonghee Lee, Ji Won Park, Sungchan Park, Jeongseon Kim, Jae Hwan Oh, Aesun Shin
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J Prev Med Public Health. 2016;49(1):45-52. Published online December 22, 2015
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DOI: https://doi.org/10.3961/jpmph.15.029
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10,698
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Abstract
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- Objectives
Previous large-scale cohort studies conducted in Korea have found a positive association between diabetes mellitus (DM) and colorectal cancer (CRC) in men only, in contrast to studies of other populations that have found significant associations in both men and women.
Methods
A total of 1070 CRC cases and 2775 controls were recruited from the National Cancer Center, Korea between August 2010 and June 2013. Self-reported DM history and the duration of DM were compared between cases and controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary and polytomous logistic regression models.
Results
DM was associated with an elevated risk of CRC in both men (OR, 1.47; 95% CI, 1.13 to 1.90) and women (OR, 1.92; 95% CI, 1.24 to 2.98). This association remained when we controlled for age, body mass index, alcohol consumption, and physical activity level. In sub-site analyses, DM was associated with distal colon cancer risk in both men (multivariate OR, 2.04; 95% CI, 1.39 to 3.00) and women (multivariate ORs, 1.99; 95% CI, 1.05 to 3.79), while DM was only associated with rectal cancer risk in women (multivariate OR, 2.05; 95% CI, 1.10 to 3.82). No significant association was found between DM and proximal colon cancer risk in either men (multivariate OR, 1.45; 95% CI, 0.88 to 2.41) or women (multivariate OR, 1.79; 95% CI, 0.78 to 4.08).
Conclusions
Overall, DM was associated with an increased risk of CRC in Koreans. However, potential over-estimation of the ORs should be considered due to potential biases from the case-control design.
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Summary
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Citations
Citations to this article as recorded by - Relationship Between Aspirin Use and Site-Specific Colorectal Cancer Risk Among Individuals With Metabolic Comorbidity
Seokyung An, Madhawa Gunathilake, Jeonghee Lee, Minji Kim, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
Journal of Korean Medical Science.2024;[Epub] CrossRef - The interaction between glycemic index, glycemic load, and the genetic variant ADIPOQ T45G (rs2241766) in the risk of colorectal cancer: a case–control study in a Korean population
Y-Thanh Lu, Madhawa Gunathilake, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
European Journal of Nutrition.2022; 61(5): 2601. CrossRef - Expression of long non-coding RNA H19 in colorectal cancer patients with type 2 diabetes
Ming Zhao, Hantao Wang, Jingbo Chen, Yang Xi, Fuyan Wang, Cuilan Huo, Wenwen Li, Yudong Chu, Pengjie Xu, Qin Huang, Shizhong Bu
Archives of Physiology and Biochemistry.2021; 127(3): 228. CrossRef - Lymphocyte‐to‐monocyte ratio combined with CA19‐9 for predicting postoperative recurrence of colorectal cancer in patients with diabetes
Dan Yu, Guangyu An, Jiannan Yao
Journal of Clinical Laboratory Analysis.2021;[Epub] CrossRef - Sex- and site-specific differences in colorectal cancer risk among people with type 2 diabetes
Jetty A. Overbeek, Josephina G. Kuiper, Amber A. W. A. van der Heijden, Mariette Labots, Ulrike Haug, Ron M. C. Herings, Giel Nijpels
International Journal of Colorectal Disease.2019; 34(2): 269. CrossRef - Metabolic Syndrome and Risk of Colorectal Cancer: A Case-Control Study
Elham Davtalab Esmaeili, Khairollah Asadollahi, Ali Delpisheh, Kourosh Sayehmiri, Hosein Azizi
International Journal of Cancer Management.2019;[Epub] CrossRef - Colorectal Cancer Risks According to Sex Differences in Patients With Type II Diabetes Mellitus: A Korean Nationwide Population-Based Cohort Study
Ji Min Lee, Kang-Moon Lee, Dae Bum Kim, Seung-Hyun Ko, Yong Gyu Park
Clinical and Translational Gastroenterology.2019; 10(10): e00090. CrossRef - The association between plasma C-peptide concentration and the risk of prostate cancer: a nested case–control study within a Japanese population-based prospective study
Grace Y. Kiyabu, Norie Sawada, Motoki Iwasaki, Taiki Yamaji, Taichi Shimazu, Shizuka Sasazuki, Manami Inoue, Shoichiro Tsugane
European Journal of Cancer Prevention.2018; 27(5): 461. CrossRef - Association between Cardiovascular Risk and Diabetes with Colorectal Neoplasia: A Site-Specific Analysis
David Niederseer, Isabelle Bracher, Andreas Stadlmayr, Ursula Huber-Schönauer, Martin Plöderl, Slayman Obeid, Christian Schmied, Sabrina Hammerl, Felix Stickel, Dieter Lederer, Wolfgang Patsch, Elmar Aigner, Christian Datz
Journal of Clinical Medicine.2018; 7(12): 484. CrossRef - Optimal glycemic target level for colon cancer patients with diabetes
Shin Jun Lee, Jae Hyun Kim, Seun Ja Park, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
Diabetes Research and Clinical Practice.2017; 124: 66. CrossRef - Impact of detection bias on the risk of gastrointestinal cancer and its subsites in type 2 diabetes mellitus
R.G.P.J. de Jong, A.M. Burden, S. de Kort, M.P.P. van Herk-Sukel, P.A.J. Vissers, P.K.C. Janssen, H.R. Haak, A.A.M. Masclee, F. de Vries, M.L.G. Janssen-Heijnen
European Journal of Cancer.2017; 79: 61. CrossRef - Effects of interactions between common genetic variants and smoking on colorectal cancer
Nan Song, Aesun Shin, Hye Soo Jung, Jae Hwan Oh, Jeongseon Kim
BMC Cancer.2017;[Epub] CrossRef - Diabetes-induced mechanophysiological changes in the small intestine and colon
Mirabella Zhao, Donghua Liao, Jingbo Zhao
World Journal of Diabetes.2017; 8(6): 249. CrossRef
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