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7 "Jeonghee Lee"
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Original Articles
Evaluation of Nomenclature of Fatty Liver Disease in Association with Hepatocellular Carcinoma: A 14.5-Year Cohort Study in Korea
Tung Hoang, Jeonghee Lee, Bo Hyun Kim, Yuri Cho, Jeongseon Kim
Received September 7, 2024  Accepted February 10, 2025  Published online February 11, 2025  
DOI: https://doi.org/10.4143/crt.2024.876    [Accepted]
AbstractAbstract PDF
Purpose
New nomenclature has incorporated metabolic traits and/or alcohol intake history to replace nonalcoholic fatty liver disease (NAFLD). Concerning the performance of different terminologies in Asian population, this study aimed to investigate the risk of developing hepatocellular carcinoma (HCC) in persons meeting the criteria for subclasses of fatty liver disease.
Materials and Methods
Between 2002 and 2021, 28,749 participants from the cancer registry linkage, who had no prior history of HCC, were prospectively included. Fatty liver disease was defined using abdominal sonography and fatty liver index. Participants were classified as having NAFLD, metabolic dysfunction–associated fatty liver disease (MAFLD), metabolic dysfunction-associated steatotic liver disease (MASLD), steatotic liver disease with increased alcohol intake (MetALD), or alcohol-related liver disease (ALD) and their association with HCC risk was investigated using Cox regression models.
Results
During a median follow-up of 14.5 years, 166 HCC cases were newly diagnosed. The prevalences of NAFLD and MASLD were 19.7% and 18.7%, respectively, whereas MAFLD was observed in 35.2% of the study population. Given the low proportion of excessive alcohol consumption, we identified 3.3% MetALD and 3.5% ALD cases. Overall, MAFLD was suggestively associated with HCC risk (hazard ratio, 1.40; 95% confidence interval 0.99-1.98). In contrast, the results for other nomenclature were not significant.
Conclusion
Our results suggest the importance of both fatty liver and the presence of metabolic dysfunction in relation to HCC risk and the need to reconsider alcohol intake thresholds in the diagnostic criteria for NAFLD and MASLD within the Korean population.
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Gastrointestinal cancer
Functional Annotation and Gene Set Analysis of Gastric Cancer Risk Loci in a Korean Population
Hyojin Pyun, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Joohon Sung, Jeongseon Kim
Cancer Res Treat. 2024;56(1):191-198.   Published online June 20, 2023
DOI: https://doi.org/10.4143/crt.2022.958
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
We aimed to identify the associated single nucleotide polymorphisms (SNPs) with gastric cancer (GC) risk by genome-wide association study (GWAS) and to explore the pathway enrichment of implicated genes and gene-sets with expression patterns.
Materials and Methods
The study population was comprised of 1,253 GC cases and 4,827 controls from National Cancer Center and an urban community of the Korean Genome Epidemiology Study and their genotyping was performed. SNPs were annotated, and mapped to genes to prioritize by three mapping approaches by functional mapping and annotation (FUMA). The gene-based analysis and gene-set analysis were conducted with full GWAS summary data using MAGMA. Gene-set pathway enrichment test with those prioritized genes were performed.
Results
In GWAS, rs2303771, a nonsynonymous variant of KLHDC4 gene was top SNP associated significantly with GC (odds ratio, 2.59; p=1.32×10–83). In post-GWAS, 71 genes were prioritized. In gene-based GWAS, seven genes were under significant p < 3.80×10–6 (0.05/13,114); DEFB108B had the lowest p=5.94×10–15, followed by FAM86C1 (p=1.74×10–14), PSCA (p=1.81×10–14), and KLHDC4 (p=5.00×10–10). In gene prioritizing, KLDHC4 was the only gene mapped with all three gene-mapping approaches. In pathway enrichment test with prioritized genes, FOLR2, PSCA, LY6K, LYPD2, and LY6E showed strong enrichment related to cellular component of membrane; a post-translation modification by synthesis of glycosylphosphatidylinositol (GPI)-anchored proteins pathway.
Conclusion
While 37 SNPs were significantly associated with the risk of GC, genes involved in signaling pathways related to purine metabolism and GPI-anchored protein in cell membrane are pinpointed to be playing important role in GC.

Citations

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  • Investigating the Shared Genetic Architecture Between Leukocyte Telomere Length and Prostate Cancer
    Zhizhou Li, Maoyu Wang, Shuxiong Zeng, Ziwei Wang, Yidie Ying, Qing Chen, Chen Zhang, Wei He, Chaoyang Sheng, Yi Wang, Zhensheng Zhang, Chuanliang Xu, Huiqing Wang
    The World Journal of Men's Health.2024;[Epub]     CrossRef
  • A rare KLHDC4 variant Glu510Lys is associated with genetic susceptibility and promotes tumor metastasis in nasopharyngeal carcinoma
    Xi-Xi Cheng, Guo-Wang Lin, Ya-Qing Zhou, Yi-Qi Li, Shuai He, Yang Liu, Yan-Ni Zeng, Yun-Miao Guo, Shu-Qiang Liu, Wan Peng, Pan-Pan Wei, Chun-Ling Luo, Jin-Xin Bei
    Journal of Genetics and Genomics.2024;[Epub]     CrossRef
  • 4,225 View
  • 217 Download
  • 1 Web of Science
  • 2 Crossref
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Endocrine Cancer
Association among Body Mass Index, Genetic Variants of FTO, and Thyroid Cancer Risk: A Hospital-Based Case-Control Study of the Cancer Screenee Cohort in Korea
Tung Hoang, Dayoung Song, Jeonghee Lee, Eun Kyung Lee, Yul Hwangbo, Jeongseon Kim
Cancer Res Treat. 2021;53(3):857-873.   Published online December 7, 2020
DOI: https://doi.org/10.4143/crt.2020.720
AbstractAbstract PDFPubReaderePub
Purpose
Obesity has been determined to be associated with fat mass and obesity-associated (FTO) gene and thyroid cancer risk. However, the effect of combined interactions between obesity and the FTO gene on thyroid cancer needs further investigation. This study aimed to examine whether interactions between body mass index (BMI) and the FTO gene are associated with an increased risk of thyroid cancer.
Materials and Methods
A total of 705 thyroid cancer cases and 705 sex- and age-matched normal controls were selected from the Cancer Screenee Cohort in National Cancer Center, Korea. A conditional logistic regression model was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the measure of associations and the combined effect of BMI and FTO gene on thyroid cancer.
Results
BMI was associated with an increased risk of thyroid cancer in subclasses of overweight (23-24.9 kg/m2; adjusted OR, 1.50; 95% CI, 1.12 to 2.00) and obese (≥ 25 kg/m2) (adjusted OR, 1.62; 95% CI, 1.23 to 2.14). There were positive associations between the FTO genetic variants rs8047395 and rs8044769 and an increased risk of thyroid cancer. Additionally, the combination of BMI subclasses and FTO gene variants was significantly associated with thyroid cancer risk in the codominant (rs17817288), dominant (rs9937053, rs12149832, rs1861867, and rs7195539), and recessive (rs17817288 and rs8044769) models.
Conclusion
Findings from this study identified the effects of BMI on thyroid cancer risk among individuals carrying rs17817288, rs9937053, rs12149832, rs1861867, rs7195539, and rs8044769, whereas the effects of BMI may be modified according to individual characteristics of other FTO variants.

Citations

Citations to this article as recorded by  
  • Exploring the Link between BMI and Aggressive Histopathological Subtypes in Differentiated Thyroid Carcinoma—Insights from a Multicentre Retrospective Study
    Giacomo Di Filippo, Gian Luigi Canu, Giovanni Lazzari, Dorin Serbusca, Eleonora Morelli, Paolo Brazzarola, Leonardo Rossi, Benard Gjeloshi, Mariangela Caradonna, George Kotsovolis, Ioannis Pliakos, Efthymios Poulios, Theodosios Papavramidis, Federico Capp
    Cancers.2024; 16(7): 1429.     CrossRef
  • Analysis of Body Mass Index and Clinicopathological Factors in Patients with Papillary Thyroid Carcinoma
    Wei Yan, Xue Luo, Qing-Jun Gao, Bing-Feng Chen, Hui Ye
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 2013.     CrossRef
  • Human adipose-derived stem cells promote migration of papillary thyroid cancer cell via leptin pathway
    Bo-Tao Zhang, Ying Li, Qi-Lan Jiang, Rui Jiang, Yang Zeng, Jun Jiang
    Annals of Medicine.2024;[Epub]     CrossRef
  • The association of obesity with thyroid carcinoma risk
    Xiao‐Ni Ma, Cheng‐Xu Ma, Li‐Jie Hou, Song‐Bo Fu
    Cancer Medicine.2022; 11(4): 1136.     CrossRef
  • Seaweed and Iodine Intakes and SLC5A5 rs77277498 in Relation to Thyroid Cancer
    Tung Hoang, Eun Kyung Lee, Jeonghee Lee, Yul Hwangbo, Jeongseon Kim
    Endocrinology and Metabolism.2022; 37(3): 513.     CrossRef
  • Low-Level Environmental Mercury Exposure and Thyroid Cancer Risk Among Residents Living Near National Industrial Complexes in South Korea: A Population-Based Cohort Study
    Seyoung Kim, Sang-Hwan Song, Chul-Woo Lee, Jung-Taek Kwon, Eun Young Park, Jin-Kyoung Oh, Hyun-Jin Kim, Eunjung Park, Byungmi Kim
    Thyroid.2022; 32(9): 1118.     CrossRef
  • Association between Obesity Indexes and Thyroid Cancer Risk in Korean Women: Nested Case–Control Study
    Yoonyoung Jang, Taehwa Kim, Brian H. S. Kim, Boyoung Park
    Cancers.2022; 14(19): 4712.     CrossRef
  • FTO Gene Polymorphisms Contribute to the Predisposition and Radiotherapy Efficiency of Nasopharyngeal Carcinoma
    Feng Xiao, Jianrong Zhou
    Pharmacogenomics and Personalized Medicine.2021; Volume 14: 1239.     CrossRef
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  • 176 Download
  • 8 Web of Science
  • 8 Crossref
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Genetic Risk Score, Combined Lifestyle Factors and Risk of Colorectal Cancer
Young Ae Cho, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
Cancer Res Treat. 2019;51(3):1033-1040.   Published online October 18, 2018
DOI: https://doi.org/10.4143/crt.2018.447
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Both genetic and lifestyle factors contribute to the risk of colorectal cancer, but each individual factor has a limited effect. Therefore, we investigated the association between colorectal cancer and the combined effects of genetic factors or/and lifestyle risk factors.
Materials and Methods
In a case-control study of 632 colorectal cancer patients and 1,295 healthy controls, we quantified the genetic risk score for colorectal cancer using 13 polymorphisms. Furthermore, we determined a combined lifestyle risk score including obesity, physical activity, smoking, alcohol consumption, and dietary inflammatory index. The associations between colorectal cancer and risk score using these factors were examined using a logistic regression model.
Results
Higher genetic risk scores were associated with an increased risk of colorectal cancer (odds ratio [OR], 2.57; 95% confidence interval [CI], 1.89 to 3.49 for the highest tertile vs. lowest tertile). Among the modifiable factors, previous body mass index, physical inactivity, heavy alcohol consumption, and a high inflammatory diet were associated with an increased risk of colorectal cancer. A higher lifestyle risk score was associated with an increased risk of colorectal cancer (OR, 5.82; 95% CI, 4.02 to 8.44 for the highest tertile vs. lowest tertile). This association was similar in each genetic risk category.
Conclusion
Adherence to a healthy lifestyle is associated with a substantially reduced risk of colorectal cancer regardless of individuals’ genetic risk.

Citations

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  • Design and Analysis of Surface Plasmon Resonance-Based Refractive Index Biosensor for Detection of Colorectal Cancer with Machine Learning Approach
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  • CD38 gene polymorphism rs1130169 contribution to the increased gene expression and risk of colorectal cancer (pilot study)
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  • Molecular subtype identification and prognosis stratification by a immunogenic cell death-related gene expression signature in colorectal cancer
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    British Journal of Cancer.2024; 130(10): 1687.     CrossRef
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    BMC Cancer.2024;[Epub]     CrossRef
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    Cancer Discovery.2024; 14(10): 1940.     CrossRef
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    Preventive Medicine.2024; 189: 108147.     CrossRef
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    International Journal of General Medicine.2024; Volume 17: 4769.     CrossRef
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    International Journal of General Medicine.2024; Volume 17: 6281.     CrossRef
  • Physical activity, polygenic risk score, and colorectal cancer risk
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    Frontiers in Microbiology.2023;[Epub]     CrossRef
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    Molecules.2023; 28(13): 5081.     CrossRef
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    Medicina.2023; 59(9): 1646.     CrossRef
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    Risk Management and Healthcare Policy.2023; Volume 16: 2673.     CrossRef
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    Current Pharmaceutical Design.2023; 29(31): 2450.     CrossRef
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    Medicine.2021; 100(39): e27370.     CrossRef
  • A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility
    Justina Ucheojor Onwuka, Dapeng Li, Yupeng Liu, Hao Huang, Jing Xu, Ying Liu, Yuanyuan Zhang, Yashuang Zhao
    BMC Cancer.2020;[Epub]     CrossRef
  • A Holistic View of Berberine Inhibiting Intestinal Carcinogenesis in Conventional Mice Based on Microbiome-Metabolomics Analysis
    Haitao Chen, Fan Zhang, Jin Zhang, Xinjie Zhang, Yong Guo, Qinghua Yao
    Frontiers in Immunology.2020;[Epub]     CrossRef
  • Gastric cancer risk: between genetics and lifestyle
    Massimo Rugge
    The Lancet Oncology.2020; 21(10): 1258.     CrossRef
  • Barriers of colorectal cancer screening test among adults in the Saudi Population: A Cross-Sectional study
    Shatha A. Alduraywish, Leen A. Altamimi, Ashwaq A. Almajed, Bushra A. Kokandi, Rawan S. Alqahtani, Shatha G. Alghaihb, Fahad M. Aldakheel
    Preventive Medicine Reports.2020; 20: 101235.     CrossRef
  • Protective Effect of Green Tea Consumption on Colorectal Cancer Varies by Lifestyle Factors
    Hyejin Kim, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
    Nutrients.2019; 11(11): 2612.     CrossRef
  • The Effect of Aerobic Training with Purslane (Portulaca Oleracea) Seed on Toll Like Receptors in Colon Tumor Tissue of Adult Rats with Colon Cancer
    Abdol Kheder Keshtvarz, Maghsoud Peeri, Mohammad Ali Azarbayjani, Seyed Ali Hosseini
    Jorjani Biomedicine Journal.2019; 7(4): 49.     CrossRef
  • 19,668 View
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  • 66 Web of Science
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Genome-Wide Association of Genetic Variation in the PSCA Gene with Gastric Cancer Susceptibility in a Korean Population
Boyoung Park, Sarah Yang, Jeonghee Lee, Hae Dong Woo, Il Ju Choi, Young Woo Kim, Keun Won Ryu, Young-Il Kim, Jeongseon Kim
Cancer Res Treat. 2019;51(2):748-757.   Published online September 5, 2018
DOI: https://doi.org/10.4143/crt.2018.162
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Half of the world’s gastric cancer cases and the highest gastric cancer mortality rates are observed in Eastern Asia. Although several genome-wide association studies (GWASs) have revealed susceptibility genes associated with gastric cancer, no GWASs have been conducted in the Korean population, which has the highest incidence of gastric cancer.
Materials and Methods
We performed genome scanning of 450 gastric cancer cases and 1,134 controls via Affymetrix Axiom Exome 319 arrays, followed by replication of 803 gastric cancer cases and 3,693 healthy controls.
Results
We showed that the rs2976394 in the prostate stem cell antigen (PSCA) gene is a gastriccancer-susceptibility gene in a Korean population, with genome-wide significance and an odds ratio (OR) of 0.70 (95% confidence interval [CI], 0.64 to 0.77). A strong linkage disequilibrium with rs2294008 was also found, indicating an association with susceptibility. Individuals with the CC genotype of the PSCA gene showed an approximately 2-fold lower risk of gastric cancer compared to those with the TT genotype (OR, 0.47; 95% CI, 0.39 to 0.57). The effect of the PSCA gene on gastric cancer was more prominent in the female population and for diffuse type gastric cancer.
Conclusion
Our result confirmed that the PSCA gene may be the most important susceptibility gene for gastric cancer risk in a Korean population.

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  • Functional Annotation and Gene Set Analysis of Gastric Cancer Risk Loci in a Korean Population
    Hyojin Pyun, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Joohon Sung, Jeongseon Kim
    Cancer Research and Treatment.2024; 56(1): 191.     CrossRef
  • HiChIP-Based Epigenomic Footprinting Identifies a Promoter Variant of UXS1 That Confers Genetic Susceptibility to Gastroesophageal Cancer
    Ansley Gnanapragasam, Eftyhios Kirbizakis, Anna Li, Kyle H. White, Katelyn L. Mortenson, Juliana Cavalcante de Moura, Wajih Jawhar, Yifei Yan, Reilly Falter, Colleen Russett, Betty Giannias, Sophie Camilleri-Broët, Nicholas Bertos, Jonathan Cools-Lartigue
    Cancer Research.2024; 84(14): 2377.     CrossRef
  • High Polygenic Risk Scores Positively Associated with Gastric Cancer Risk Interact with Coffee and Polyphenol Intake and Smoking Status in Korean Adults
    Meiling Liu, Sang-Shin Song, Sunmin Park
    Nutrients.2024; 16(19): 3263.     CrossRef
  • Dietary mercury intake, the IL23R rs10889677 polymorphism, and the risk of gastric cancer in a Korean population: a hospital-based case-control study
    Ji Hyun Kim, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Epidemiology and Health.2024; 46: e2024051.     CrossRef
  • SNP-SNP Interactions and Gastric Cancer Susceptibility in Ardabil Province
    Homa Akhavan Aghghaleh, Najmeh Ranji, Hadi Habibollahi
    Journal of Ardabil University of Medical Sciences.2024; 24(3): 364.     CrossRef
  • Interaction between dietary potassium intake and TNF-α rs1800629 genetic polymorphism in gastric cancer risk: a case–control study conducted in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    British Journal of Nutrition.2023; 130(5): 887.     CrossRef
  • Rare variants confer shared susceptibility to gastrointestinal tract cancer risk
    Ji Zheng, Xin Wang, Jingrao Li, Yuanna Wu, Jiang Chang, Junyi Xin, Meilin Wang, Tianpei Wang, Qingyi Wei, Mengyun Wang, Ruoxin Zhang
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • The association of dietary fibre intake and the IL13 rs20541 polymorphism with the risk of gastric cancer: a case-control study in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    European Journal of Clinical Nutrition.2022; 76(7): 1031.     CrossRef
  • Systematic review of gastric cancer-associated genetic variants, gene-based meta-analysis, and gene-level functional analysis to identify candidate genes for drug development
    Sangjun Lee, Han-Kwang Yang, Hyuk-Joon Lee, Do Joong Park, Seong-Ho Kong, Sue K. Park
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Incidence of Hereditary Gastric Cancer May Be Much Higher than Reported
    Paula Baraúna de Assumpção, Paulo Pimentel de Assumpção, Fabiano Cordeiro Moreira, Ândrea Ribeiro-dos-Santos, Amanda F. Vidal, Leandro Magalhães, André Salim Khayat, André Maurício Ribeiro-dos-Santos, Giovanna C. Cavalcante, Adenilson Leão Pereira, Inácio
    Cancers.2022; 14(24): 6125.     CrossRef
  • Enhancing the Trajectories of Cancer Health Disparities Research: Improving Clinical Applications of Diversity, Equity, Inclusion, and Accessibility
    Rachel Martini, Endale Gebregzabher, Lisa Newman, Melissa B. Davis
    Cancer Discovery.2022; 12(6): 1428.     CrossRef
  • Identification of Novel Susceptible Genes of Gastric Cancer Based on Integrated Omics Data
    Huang Yaoxing, Yu Danchun, Sun Xiaojuan, Jiang Shuman, Yan Qingqing, Jia Lin
    Frontiers in Cell and Developmental Biology.2021;[Epub]     CrossRef
  • The Associations of Dietary Iron Intake and the Transferrin Receptor (TFRC) rs9846149 Polymorphism with the Risk of Gastric Cancer: A Case–Control Study Conducted in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Nutrients.2021; 13(8): 2600.     CrossRef
  • Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer
    Jing Ni, Bin Deng, Meng Zhu, Yuzhuo Wang, Caiwang Yan, Tianpei Wang, Yaqian Liu, Gang Li, Yanbing Ding, Guangfu Jin
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • Evolutionary History of the Risk of SNPs for Diffuse-Type Gastric Cancer in the Japanese Population
    Risa L. Iwasaki, Koji Ishiya, Hideaki Kanzawa-Kiriyama, Yosuke Kawai, Jun Gojobori, Yoko Satta
    Genes.2020; 11(7): 775.     CrossRef
  • TNF genetic polymorphism (rs1799964) may modify the effect of the dietary inflammatory index on gastric cancer in a case–control study
    Jeeeun Kim, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Joohon Sung, Jeongseon Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Prediction of gastric cancer risk: association between ZBTB20 genetic variance and gastric cancer risk in Chinese Han population
    Fei Bai, Ke Xiao
    Bioscience Reports.2020;[Epub]     CrossRef
  • Incidence of Stomach and Esophageal Cancers in Mongolia: Data from 2009 to 2018
    Tsegmed Sambuu, Nasanjargal Tumurbat, Bayar Davaa, Bolor-Erdene Tudev
    Euroasian Journal of Hepato-Gastroenterology.2020; 10(1): 16.     CrossRef
  • 10,464 View
  • 209 Download
  • 16 Web of Science
  • 18 Crossref
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Effects of Soy Product Intake and Interleukin Genetic Polymorphisms on Early Gastric Cancer Risk in Korea: A Case-Control Study
Sarah Yang, Yoon Park, Jeonghee Lee, Il Ju Choi, Young Woo Kim, Keun Won Ryu, Joohon Sung, Jeongseon Kim
Cancer Res Treat. 2017;49(4):1044-1056.   Published online January 19, 2017
DOI: https://doi.org/10.4143/crt.2016.515
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The current study investigated whether the combined effects of soy intake and genetic polymorphisms of interleukin (IL) genes modify gastric cancer risk.
Materials and Methods
A total of 377 cases and 754 controls of Korean origin were included in the analysis. Soy consumption was assessed using a semi-quantitative food frequency questionnaire. Seven variants of IL10 (rs1800871), IL2 (rs2069763 and rs2069762), IL13 (rs6596090 and rs20541), and IL4R(rs7205663 and rs1805010) were genetically analyzed. To analyze the combined effect of soy intake and genetic polymorphisms, a low-intake group and high-intake group of each type of soy were categorized based on the intake level of the control group. Interactions between soy products and these genetic variants were analyzed by a likelihood ratio test, in which a multiplicative interaction term was added to the logistic regression model.
Results
A higher intake of nonfermented soy products was associated with a reduced cancer risk (odds ratio [OR], 0.62; 95% confidence interval [CI], 0.43 to 0.90), and the reduced risk was only apparent in males (OR, 0.44; 95% CI, 0.27 to 0.71). None of the IL genetic polymorphisms examined were independently associated with gastric cancer risk. Individuals with a minor allele of IL2 rs2069762 and a higher intake of nonfermented soy food had a decreased risk of gastric cancer (OR, 0.46; 95% CI, 0.31 to 0.68) compared to those with a lower intake (pinteraction=0.039).
Conclusion
Based on the genetic characteristics of the studied individuals, the interaction between IL2 rs2069762 and nonfermented soy intake may modify the risk of gastric cancer.

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  • Polyphenol intake and gastric cancer: A case-control study in the Brazilian Amazon region
    Marcela de Araújo Fagundes, Renata Alves Carnauba, Gisele Aparecida Fernandes, Paulo Pimentel de Assumpção, Maria Paula Curado
    Cancer Epidemiology.2024; 88: 102518.     CrossRef
  • Oral Microbiota as a Diagnostic Biomarker of Digestive Cancer: A Systematic Review
    SK Aziz Ikbal, Surendra Kumar Yadav, Roopanshi Mehrotra, Tasneem Fatima, Anjusha Sharda, Srashti Gupta
    The Journal of Contemporary Dental Practice.2024; 24(11): 902.     CrossRef
  • The pertinence of gastric cancer and interleukin 10–819 single nucleotide polymorphisms: a meta-analysis and systematic review
    Qianqian Mao, Yanwen Liu, Xi Chen, Cheng Jiang Liu
    BMC Gastroenterology.2024;[Epub]     CrossRef
  • Soy Product Consumption and the Risk of Cancer: A Systematic Review and Meta-Analysis of Observational Studies
    Chenting Wang, Keqing Ding, Xuanzhen Xie, Jinyue Zhou, Pengju Liu, Shuang Wang, Ting Fang, Guozhang Xu, Chunlan Tang, Hang Hong
    Nutrients.2024; 16(7): 986.     CrossRef
  • Interaction between dietary potassium intake and TNF-α rs1800629 genetic polymorphism in gastric cancer risk: a case–control study conducted in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    British Journal of Nutrition.2023; 130(5): 887.     CrossRef
  • Association between soy products, fruits, vegetables, and dairy products and gastric cancer risk in Helicobacter pylori-infected subjects: a case-control study in Korea
    Jung Hyun Kwak, Chang Soo Eun, Dong Soo Han, Yong Sung Kim, Kyu Sang Song, Bo Youl Choi, Hyun Ja Kim
    Nutrition Research and Practice.2023; 17(1): 122.     CrossRef
  • Dietary intake and cancer incidence in Korean adults: a systematic review and meta-analysis of observational studies
    Ji Hyun Kim, Shinyoung Jun, Jeongseon Kim
    Epidemiology and Health.2023; 45: e2023102.     CrossRef
  • The association of dietary fibre intake and the IL13 rs20541 polymorphism with the risk of gastric cancer: a case-control study in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    European Journal of Clinical Nutrition.2022; 76(7): 1031.     CrossRef
  • Dietary Polyphenol Intake and Gastric Cancer: A Systematic Review and Meta-Analysis
    Marcela de Araújo Fagundes, Alex Richard Costa Silva, Gisele Aparecida Fernandes, Maria Paula Curado
    Cancers.2022; 14(23): 5878.     CrossRef
  • Sex-dependent associations between MAP3K1 gene polymorphisms and soy products with the gastric cancer risk in Korea: a case-control study
    Jung Hyun Kwak, Chang Soo Eun, Dong Soo Han, Yong Sung Kim, Kyu Sang Song, Bo Youl Choi, Hyun Ja Kim
    BMC Gastroenterology.2022;[Epub]     CrossRef
  • Dietary patterns and gastric cancer risk in a Korean population: a case–control study
    Ji Hyun Kim, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    European Journal of Nutrition.2021; 60(1): 389.     CrossRef
  • Possible Roles of Interleukin-4 and -13 and Their Receptors in Gastric and Colon Cancer
    Xujun Song, Benno Traub, Jingwei Shi, Marko Kornmann
    International Journal of Molecular Sciences.2021; 22(2): 727.     CrossRef
  • The association between soy‐based food and soy isoflavone intake and the risk of gastric cancer: a systematic review and meta‐analysis
    Yameng Wang, Jiaping Guo, Fei Yu, Yongmei Tian, Yongjun Wu, Lingling Cui, Li‐e Liu
    Journal of the Science of Food and Agriculture.2021; 101(13): 5314.     CrossRef
  • The Associations of Dietary Iron Intake and the Transferrin Receptor (TFRC) rs9846149 Polymorphism with the Risk of Gastric Cancer: A Case–Control Study Conducted in Korea
    Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Nutrients.2021; 13(8): 2600.     CrossRef
  • Identification of Dietary Pattern Networks Associated with Gastric Cancer Using Gaussian Graphical Models: A Case-Control Study
    Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Cancers.2020; 12(4): 1044.     CrossRef
  • Genome‐wide profiling of normal gastric mucosa identifies Helicobacter pylori‐ and cancer‐associated DNA methylome changes
    Hae Dong Woo, Nora Fernandez‐Jimenez, Akram Ghantous, Davide Degli Esposti, Cyrille Cuenin, Vincent Cahais, Il Ju Choi, Young‐Il Kim, Jeongseon Kim, Zdenko Herceg
    International Journal of Cancer.2018; 143(3): 597.     CrossRef
  • The association between dietary isoflavones intake and gastric cancer risk: a meta-analysis of epidemiological studies
    Jie You, Yafei Sun, Yacong Bo, Yiwei Zhu, Dandan Duan, Han Cui, Quanjun Lu
    BMC Public Health.2018;[Epub]     CrossRef
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  • 17 Web of Science
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Risk Factors for Thyroid Cancer: A Hospital-Based Case-Control Study in Korean Adults
Seung-Kwon Myung, Chan Wha Lee, Jeonghee Lee, Jeongseon Kim, Hyeon Suk Kim
Cancer Res Treat. 2017;49(1):70-78.   Published online June 23, 2016
DOI: https://doi.org/10.4143/crt.2015.310
AbstractAbstract PDFPubReaderePub
Purpose
Although the incidence of thyroid cancer in Korea has rapidly increased over the past decade, few studies have investigated its risk factors. This study examined the risk factors for thyroid cancer in Korean adults.
Materials and Methods
The study design was a hospital-based case-control study. Between August 2002 and December 2011, a total of 802 thyroid cancer cases out of 34,211 patients screened from the Cancer Screenee. Cohort of the National Cancer Center in South Korea were included in the analysis. A total of 802 control cases were selected from the same cohort, and matched individually (1:1) by age (±2 years) and area of residence for control group 1 and additionally by sex for control group 2.
Results
Multivariate conditional logistic regression analysis using the control group 1 showed that females and those with a family history of thyroid cancer had an increased risk of thyroid cancer, whereas ever-smokers and those with a higher monthly household income had a decreased risk of thyroid cancer. On the other hand, the analysis using control group 2 showed that a family history of cancer and alcohol consumption were associated with a decreased risk of thyroid cancer, whereas higher body mass index (BMI) and family history of thyroid cancer were associated with an increased risk of thyroid cancer.
Conclusion
These findings suggest that females, those with a family history of thyroid cancer, those with a higher BMI, non-smokers, non-drinkers, and those with a lower monthly household income have an increased risk of developing thyroid cancer.

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  • Narrative overview of possible preventive measures for differentiated thyroid carcinomas
    Maria Eduarda de Castro, Lucas Leite Cunha, Laura Sterian Ward
    Heliyon.2025; 11(1): e41284.     CrossRef
  • Nonalcoholic Fatty Liver Disease and the Risk of Thyroid Cancer Among Young Adults in South Korea
    Hyemi Kwon, Kyung-Do Han, Sun Joon Moon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1095.     CrossRef
  • Current and future of immunotherapy for thyroid cancer based on bibliometrics and clinical trials
    Ke Wang, Ying Zhang, Yang Xing, Hong Wang, Minghua He, Rui Guo
    Discover Oncology.2024;[Epub]     CrossRef
  • Thyroid Cancer Prevalence, Risk Exposure, and Clinical Features Among Transgender Female Veterans
    John David Christensen, Hiba T Basheer, Jose Joaquin Lado Abeal
    Journal of the Endocrine Society.2024;[Epub]     CrossRef
  • Thyroid Malignancy in Patients Who Underwent Thyroidectomy for Multinodular Goiter and Solitary Thyroid Nodule
    Desalew Gedamu, Tariku Shimels, Daniel Kassie, Zewditu Chanyalew, Mebrahtu Eyasu
    JCO Global Oncology.2024;[Epub]     CrossRef
  • Emerging Strategies in Thyroid Cancer Immunotherapy: A Comprehensive Systematic Review and Meta-Analysis of Clinical Outcomes
    Daniel Alejandro Estrella Cornejo, Meylin Yalitza Carriel Alvarado, Norma Susana Chávez Villagómez, Alberto Dario Díaz Parra, María Fernanda Navas Espinosa
    Salud, Ciencia y Tecnología.2024; 4: 1241.     CrossRef
  • Prevalence of Thyroid Nodules and Predictive Factors for their Malignancy: Is there any Correlation between Level of TSH and Type of Malignancy?: A Cross Sectional Study
    Leila Moradi, Mohsen Hani Tabaei Zavareh, Ferdos Zaman, Anahita Shareghi Bruojeni, Seyed Amir Mohammad Taravati, Hossein Naderi Boldaji, Koushan Rostami, Seyedeh Ghazal Shahrokh
    Advanced Biomedical Research.2024;[Epub]     CrossRef
  • Research Progress on Risk Factors of Thyroid Cancer
    丽 焦
    Advances in Clinical Medicine.2024; 14(08): 400.     CrossRef
  • Relationship between Serum Levels of Selenium and Thyroid Cancer: A Systematic Review and Meta-Analysis
    Runhua Hao, Ping Yu, Lanlan Gui, Niannian Wang, Da Pan, Shaokang Wang
    Nutrition and Cancer.2023; 75(1): 14.     CrossRef
  • Oxidative stress mediates the associations between phthalate exposures and thyroid cancer/benign nodule risk
    Chong Liu, Long-Qiang Wang, Min Zhang, Yan-Ling Deng, Qiong Luo, Er-Nan Liu, Pan-Pan Chen, Yu Miao, Pan Yang, Qiang Zeng
    Environmental Pollution.2023; 326: 121462.     CrossRef
  • Selenium and thyroid diseases
    Fei Wang, Chunyu Li, Shaoxin Li, Lili Cui, Junyu Zhao, Lin Liao
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Preoperative evaluation of thyroid nodules – Diagnosis and management strategies
    Tapoi Dana Antonia, Lambrescu Ioana Maria, Gheorghisan-Galateanu Ancuta-Augustina
    Pathology - Research and Practice.2023; 246: 154516.     CrossRef
  • Evaluation of Thyroid Fine Needle Aspiration Biopsy Results: A Single Center Experience
    Baris KARAGÜN
    Acta Medica Alanya.2023; 7(1): 34.     CrossRef
  • Thyroid Nodules and Obesity
    Elpida Demetriou, Maria Fokou, Savvas Frangos, Panagiotis Papageorgis, Panayiotis A. Economides, Aliki Economides
    Life.2023; 13(6): 1292.     CrossRef
  • Per- and polyfluoroalkyl substances and the associated thyroid cancer risk: A case-control study in China
    Haoran Li, Ming Yang, Jing Yang, Samuel Seery, Chaoying Ma, Yi Liu, Xiaoguang Zhang, Ang Li, Huicai Guo
    Chemosphere.2023; 337: 139411.     CrossRef
  • Interaction between Genetic Risks and Socioeconomic Factors on Thyroid Cancer: Evidence from 0.5 Million UK Biobank Participants
    Yu Li, Yongle Zhan, Wei Mao, Baoxin Wang, Pin Dong, Rong Na
    Cancers.2023; 15(20): 5028.     CrossRef
  • Thyroid Cancer Diagnostics Related to Occupational and Environmental Risk Factors: An Integrated Risk Assessment Approach
    Gabriela Maria Berinde, Andreea Iulia Socaciu, Mihai Adrian Socaciu, Andreea Cozma, Armand Gabriel Rajnoveanu, Gabriel Emil Petre, Doina Piciu
    Diagnostics.2022; 12(2): 318.     CrossRef
  • Ferroptosis-Related APOE, BCL3 and ALOX5AP Gene Polymorphisms are Associated with the Risk of Thyroid Cancer
    Zhifu Xiao, Haixia Zhao
    Pharmacogenomics and Personalized Medicine.2022; Volume 15: 157.     CrossRef
  • The Effect of Gout on Thyroid Cancer Incidence: A Nested Case-Control Study Using a National Health Screening Cohort
    So Young Kim, Dae Myoung Yoo, Mi Jung Kwon, Ji Hee Kim, Joo-Hee Kim, Woo Jin Bang, Sung Kyun Kim, Hyo Geun Choi
    Journal of Personalized Medicine.2022; 12(6): 887.     CrossRef
  • Seaweed and Iodine Intakes and SLC5A5 rs77277498 in Relation to Thyroid Cancer
    Tung Hoang, Eun Kyung Lee, Jeonghee Lee, Yul Hwangbo, Jeongseon Kim
    Endocrinology and Metabolism.2022; 37(3): 513.     CrossRef
  • Thyroid Diseases and Thyroid Asymptomatic Dysfunction in People Living With HIV
    Cristina Micali, Ylenia Russotto, Benedetto Maurizio Celesia, Laura Santoro, Andrea Marino, Giovanni Francesco Pellicanò, Giuseppe Nunnari, Emmanuele Venanzi Rullo
    Infectious Disease Reports.2022; 14(5): 655.     CrossRef
  • Thyroid Cancer and Psoriasis: A Nested Case–Control Study
    So Young Kim, Dae Myoung Yoo, Juyong Chung, Hyo Geun Choi
    Diagnostics.2022; 12(10): 2297.     CrossRef
  • Association between Obesity Indexes and Thyroid Cancer Risk in Korean Women: Nested Case–Control Study
    Yoonyoung Jang, Taehwa Kim, Brian H. S. Kim, Boyoung Park
    Cancers.2022; 14(19): 4712.     CrossRef
  • Relationship Between Physical Activity Levels and Thyroid Cancer Risk: A Prospective Cohort Study in Korea
    Anh Quynh Bui, Madhawa Gunathilake, Jeonghee Lee, Eun Kyung Lee, Jeongseon Kim
    Thyroid.2022; 32(11): 1402.     CrossRef
  • Association Between Genetic Risk, Adherence to Healthy Lifestyle Behavior, and Thyroid Cancer Risk
    Xiuming Feng, Fei Wang, Wenjun Yang, Yuan Zheng, Chaoqun Liu, Lulu Huang, Longman Li, Hong Cheng, Haiqing Cai, Xiangzhi Li, Xing Chen, Xiaobo Yang
    JAMA Network Open.2022; 5(12): e2246311.     CrossRef
  • Insufficient iodine nutrition may affect the thyroid cancer incidence in China
    Lijun Fan, Fangang Meng, Yunyan Gao, Peng Liu
    British Journal of Nutrition.2021; 126(12): 1852.     CrossRef
  • Thyroid cancer and its associated factors: A population‐based case‐control study
    Mohammad Taher Parad, Mohammad Fararouei, Ali Reza Mirahmadizadeh, Sima Afrashteh
    International Journal of Cancer.2021; 149(3): 514.     CrossRef
  • Evaluation of the relationship between previous statin use and thyroid cancer using Korean National Health Insurance Service-Health Screening Cohort data
    So Young Kim, Young Shin Song, Jee Hye Wee, Chanyang Min, Dae Myoung Yoo, Chang-Ho Lee, Chang Myeon Song, Bumjung Park, Hyo Geun Choi
    Scientific Reports.2021;[Epub]     CrossRef
  • Association among Body Mass Index, Genetic Variants of FTO, and Thyroid Cancer Risk: A Hospital-Based Case-Control Study of the Cancer Screenee Cohort in Korea
    Tung Hoang, Dayoung Song, Jeonghee Lee, Eun Kyung Lee, Yul Hwangbo, Jeongseon Kim
    Cancer Research and Treatment.2021; 53(3): 857.     CrossRef
  • Reproductive and menstrual factors for papillary thyroid cancer risk: A case-control study in Chinese women
    Jia-liu He, Chi Zhang, Ming-jun Hu, Hua-bing Wu, Xue-lei Lu, Jia-hu Hao, Fen Huang
    Cancer Epidemiology.2021; 73: 101964.     CrossRef
  • Advanced thyroid carcinomas: neural network analysis of ultrasonographic characteristics
    Michael Cordes, Theresa Ida Götz, Elmar Wolfgang Lang, Stephan Coerper, Torsten Kuwert, Christian Schmidkonz
    Thyroid Research.2021;[Epub]     CrossRef
  • Effect of Cigarette Smoking on Thyroid Cancer: Meta-Analysis
    Joon-Hyop Lee, Young Jun Chai, Ka Hee Yi
    Endocrinology and Metabolism.2021; 36(3): 590.     CrossRef
  • Epidemiologic, Clinical, Ultrasonographic, and Cytological Features of Thyroid Nodules in Predicting Malignancy Risk: A Retrospective Study of 442 French Afro-Caribbean Patients
    Johan Joseph-Auguste, Lucien Lin, Magalie Demar, Olivier Duffas, Vincent Molinie, Caroline Sulpicy, Marie-Josée Dorival, Olivier Luxembourger, Nadia Sabbah
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Serous BMP8A has Clinical Significance in the Ultrasonic Diagnosis of Thyroid Cancer and Promotes Thyroid Cancer Cell Progression
    Kun Liu, Min Gao, Dongdong Qin, Hongjun Wang, Qixiu Lu
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2020; 20(4): 591.     CrossRef
  • Association between Family Histories of Thyroid Cancer and Thyroid Cancer Incidence: A Cross-Sectional Study Using the Korean Genome and Epidemiology Study Data
    Soo-Hwan Byun, Chanyang Min, Hyo-Geun Choi, Seok-Jin Hong
    Genes.2020; 11(9): 1039.     CrossRef
  • Obesity is positively related and tobacco smoking and alcohol consumption are negatively related to an increased risk of thyroid cancer
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