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Chang-Hun You 4 Articles
Corrigendum: The authors found errors in our published article: Quantitative Analysis of Cancer-associated Gene Methylation Connected to Risk Factors in Korean Colorectal Cancer Patients
Ho-Jin Kang, Eun-Jeong Kim, Byoung-Gwon Kim, Chang-Hun You, Sang-Yong Lee, Dong-Il Kim, Young-Seoub Hong
J Prev Med Public Health. 2012;45(5):333-333.   Published online September 28, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.5.333
Corrects: J Prev Med Public Health 2012;45(4):251
  • 5,388 View
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PDF
Summary
Quantitative Analysis of Cancer-associated Gene Methylation Connected to Risk Factors in Korean Colorectal Cancer Patients
Ho-Jin Kang, Eun-Jeong Kim, Byoung-Gwon Kim, Chang-Hun You, Sang-Yong Lee, Dong-Il Kim, Young-Seoub Hong
J Prev Med Public Health. 2012;45(4):251-258.   Published online July 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.4.251
Correction in: J Prev Med Public Health 2012;45(5):333
  • 9,234 View
  • 69 Download
  • 11 Crossref
AbstractAbstract PDF
Objectives

The purpose of this paper was to elucidate the potential methylation levels of adjacent normal and cancer tissues by comparing them with normal colorectal tissues, and to describe the correlations between the methylation and clinical parameters in Korean colorectal cancer (CRC) patients.

Methods

Hypermethylation profiles of nine genes (RASSF1, APC, p16INK4a, Twist1, E-cadherin, TIMP3, Smad4, COX2, and ABCB1) were examined with 100 sets of cancer tissues and 14 normal colorectal tissues. We determined the hypermethylation at a given level by a percent of methylation ratio value of 10 using quantitative methylation real-time polymerase chain reaction.

Results

Nine genes' hypermethylation levels in Korean CRC patient tissues were increased more higher than normal colorectal tissues. However, the amounts of p16INK4a and E-cadherin gene hypermethylation in normal and CRC tissues were not significantly different nor did TIMP3 gene hypermethylation in adjacent normal and cancer tissues differ significantly. The hypermethylation of TIMP3, E-cadherin, ABCB1, and COX2 genes among other genes were abundantly found in normal colorectal tissues. The hypermethylation of nine genes' methylation in cancer tissues was not significantly associated with any clinical parameters. In Cohen's kappa test, it was moderately observed that RASSF1 was related with E-cadherin, and Smad4 with ABCB1 and COX2.

Conclusions

This study provides evidence for different hypermethylation patterns of cancer-associated genes in normal and CRC tissues, which may serve as useful information on CRC cancer progression.

Summary

Citations

Citations to this article as recorded by  
  • Relevance of gene mutations and methylation to the growth of pancreatic intraductal papillary mucinous neoplasms based on pyrosequencing
    Go Asano, Katsuyuki Miyabe, Hiroyuki Kato, Michihiro Yoshida, Takeshi Sawada, Yasuyuki Okamoto, Hidenori Sahashi, Naoki Atsuta, Kenta Kachi, Akihisa Kato, Naruomi Jinno, Makoto Natsume, Yasuki Hori, Itaru Naitoh, Kazuki Hayashi, Yoichi Matsuo, Satoru Taka
    Scientific Reports.2022;[Epub]     CrossRef
  • Potential of RASSF1A promoter methylation as a biomarker for colorectal cancer: Meta-analysis and TCGA analysis
    Fei Hu, Li Chen, Ming-Yu Bi, Ling Zheng, Ji-Xiang He, Ying-Ze Huang, Yu Zhang, Xue-Lian Zhang, Qiang Guo, Ying Luo, Wen-Ru Tang, Miao-Miao Sheng
    Pathology - Research and Practice.2020; 216(8): 153009.     CrossRef
  • KLHL22 Regulates the EMT and Proliferation in Colorectal Cancer Cells in Part via the Wnt/β-Catenin Signaling Pathway


    Yi Song, Huiping Yuan, Jia Wang, Yuhe Wu, Yuhong Xiao, Shengxun Mao
    Cancer Management and Research.2020; Volume 12: 3981.     CrossRef
  • RHBDF1 regulates APC-mediated stimulation of the epithelial-to-mesenchymal transition and proliferation of colorectal cancer cells in part via the Wnt/β-catenin signalling pathway
    Huiping Yuan, Ran Wei, Yuhong Xiao, Yi Song, Jia Wang, Huihuan Yu, Ting Fang, Wei Xu, Shengxun Mao
    Experimental Cell Research.2018; 368(1): 24.     CrossRef
  • Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health
    Pei-Chien Tsai, Craig A. Glastonbury, Melissa N. Eliot, Sailalitha Bollepalli, Idil Yet, Juan E. Castillo-Fernandez, Elena Carnero-Montoro, Thomas Hardiman, Tiphaine C. Martin, Alice Vickers, Massimo Mangino, Kirsten Ward, Kirsi H. Pietiläinen, Panos Delo
    Clinical Epigenetics.2018;[Epub]     CrossRef
  • A novel discriminating colorectal cancer model for differentiating normal and tumor tissues
    Xiaohui Sun, Yiping Tian, Qianqian Zheng, Ruizhi Zheng, Aifen Lin, Tianhui Chen, Yimin Zhu, Maode Lai
    Epigenomics.2018; 10(11): 1463.     CrossRef
  • APC hypermethylation for early diagnosis of colorectal cancer: a meta-analysis and literature review
    Tie-Jun Liang, Hong-Xu Wang, Yan-Yan Zheng, Ying-Qing Cao, Xiaoyu Wu, Xin Zhou, Shu-Xiao Dong
    Oncotarget.2017; 8(28): 46468.     CrossRef
  • RETRACTED ARTICLE: Aberrant promoter methylation of RASSF1A gene may be correlated with colorectal carcinogenesis: a meta-analysis
    He-Ling Wang, Yu Zhang, Peng Liu, Ping-Yi Zhou
    Molecular Biology Reports.2014; 41(6): 3991.     CrossRef
  • Role of CDH1 Promoter Methylation in Colorectal Carcinogenesis: A Meta-Analysis
    Yu-Xi Li, Yao Lu, Chun-Yu Li, Peng Yuan, Shu-Sen Lin
    DNA and Cell Biology.2014; 33(7): 455.     CrossRef
  • Retracted: Promoter Methylation of theRASSF1AGene may Contribute to Colorectal Cancer Susceptibility: A Meta-Analysis of Cohort Studies
    He-Ling Wang, Peng Liu, Ping-Yi Zhou, Yu Zhang
    Annals of Human Genetics.2014; 78(3): 208.     CrossRef
  • Hypermethylation ofTWIST1andNID2in Tumor Tissues and Voided Urine in Urinary Bladder Cancer Patients
    Zeynep Yegin, Sezgin Gunes, Recep Buyukalpelli
    DNA and Cell Biology.2013; 32(7): 386.     CrossRef
Relationship Between Blood Mercury Concentration and Waist-to-Hip Ratio in Elderly Korean Individuals Living in Coastal Areas
Chang-Hun You, Byoung-Gwon Kim, Jung-Man Kim, Seung-Do Yu, Yu-Mi Kim, Rock-Bum Kim, Young-Seoub Hong
J Prev Med Public Health. 2011;44(5):218-225.   Published online September 28, 2010
DOI: https://doi.org/10.3961/jpmph.2011.44.5.218
  • 11,666 View
  • 99 Download
  • 41 Crossref
AbstractAbstract PDF
Objectives

This study investigated the relationship between the blood mercury concentration and cardiovascular risk factors in elderly Korean individuals living in coastal areas.

Methods

The sample consisted of 477 adults (164 males, 313 females) aged 40 to 65 years who visited a Busan health promotion center from June to September in 2009. The relationship between blood mercury concentration and cardiovascular risk factors including metabolic syndrome, cholesterol profiles, blood pressure, body mass index (BMI), waist circumference and waist-to-hip ratio (WHR), was investigated. Variables related to blood mercury concentration were further evaluated using multiple regression analysis.

Results

The blood mercury concentration of the study population was 7.99 (range, 7.60 to 8.40) µg/L. In males, the blood mercury concentration was 9.74 (8.92 to 10.63) µg/L, which was significantly higher than that in females (7.21, [6.80 to 7.64] µg/L). The blood mercury concentration of the study population was related to several cardiovascular risk factors including low-density lipoprotein (LDL) cholesterol (p=0.044), high-density lipoprotein (HDL) cholesterol (p=0.034), BMI (p = 0.006), waist circumference (p = 0.031), and WHR (p < 0.001). In males, the blood mercury concentration was significantly correlated with WHR in the multiple regression analysis.

Conclusions

In males, the blood mercury concentration was related to waist-to-hip ratio, which is a central obesity index and cardiovascular risk factor. Our finding suggests that cardiovascular disease risk in males was increased by mercury exposure via an obesity-related mechanism.

Summary

Citations

Citations to this article as recorded by  
  • Association between Heavy Metals, Metalloids and Metabolic Syndrome: New Insights and Approaches
    Airton C. Martins, Beatriz Ferrer, Alexey A. Tinkov, Samuel Caito, Romina Deza-Ponzio, Anatoly V. Skalny, Aaron B. Bowman, Michael Aschner
    Toxics.2023; 11(8): 670.     CrossRef
  • Effect of Mixture of Heavy Metals on Metabolic Syndrome and Its Components in Individuals ≥ 18 Years of Age: From Big Data to Molecular Mechanisms Involved
    Hai Duc Nguyen, Hojin Oh, Min-Sun Kim
    Exposure and Health.2023; 15(4): 773.     CrossRef
  • Report of the Scientific Committee of the Spanish Agency for Food Safety and Nutrition (AESAN) on the available evidence in relation to the potential obesogenic activity of certain chemical compounds that may be present in foods
    Ana María Rivas Velasco, Irene Bretón Lesmes, Araceli Díaz Perales, Ángel Gil Izquierdo, María José González Muñoz, Victoria Moreno Arribas, María del Puy Portillo Baquedano, Silvia Pichardo Sánchez
    Food Risk Assess Europe.2023;[Epub]     CrossRef
  • Lead, mercury, and cadmium exposures are associated with obesity but not with diabetes mellitus: Korean National Environmental Health Survey (KoNEHS) 2015–2017
    Min Kyong Moon, Inae Lee, Aram Lee, Hyunwoong Park, Min Joo Kim, Sunmi Kim, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Gi Jeong Cheon, Kyungho Choi, Young Joo Park, Jeongim Park
    Environmental Research.2022; 204: 111888.     CrossRef
  • The Effect of Mixture of Heavy Metals on Obesity in Individuals ≥50 Years of Age
    Hai Nguyen Duc, Hojin Oh, Min-Sun Kim
    Biological Trace Element Research.2022; 200(8): 3554.     CrossRef
  • Differential fat accumulation in early adulthood according to adolescent‐BMI and heavy metal exposure
    Larissa Betanzos‐Robledo, Martha M. Téllez‐Rojo, Hector Lamadrid‐Figueroa, Ernesto Roldan‐Valadez, Karen E. Peterson, Erica C. Jansen, Nil Basu, Alejandra Cantoral
    New Directions for Child and Adolescent Development.2022; 2022(181-182): 37.     CrossRef
  • Toenail mercury levels positively correlate with obesity and abdominal obesity among Korean adults
    Jimin Jeon, J. Steven Morris, Kyong Park
    Journal of Trace Elements in Medicine and Biology.2021; 64: 126678.     CrossRef
  • Assessment of the hyperlipidemia risk for residents exposed to potential emitted metals in the vicinity of a petrochemical complex
    Chih-Hsiang Shun, Tzu-Hsuen Yuan, Shou-Hung Hung, Yen-Po Yeh, Yi-Hsuan Chen, Chang-Chuan Chan
    Environmental Science and Pollution Research.2021; 28(22): 27966.     CrossRef
  • Association between Dyslipidemia and Mercury Exposure in Adults
    Purum Kang, Hye Young Shin, Ka Young Kim
    International Journal of Environmental Research and Public Health.2021; 18(2): 775.     CrossRef
  • Assessment of Lead and Mercury Exposure Levels in the General Population of Korea Using Integrated National Biomonitoring Data
    Jeong-Wook Seo, Young-Seoub Hong, Byoung-Gwon Kim
    International Journal of Environmental Research and Public Health.2021; 18(13): 6932.     CrossRef
  • Mercury and Atherosclerosis: Cell Biology, Pathophysiology, and Epidemiological Studies
    Tahereh Farkhondeh, Reza Afshari, Omid Mehrpour, Saeed Samarghandian
    Biological Trace Element Research.2020; 196(1): 27.     CrossRef
  • Association of Blood Mercury Level with the Risk of Depression According to Fish Intake Level in the General Korean Population: Findings from the Korean National Health and Nutrition Examination Survey (KNHANES) 2008–2013
    Kyung Won Kim, Sundara Raj Sreeja, Minji Kwon, Ye Lee Yu, Mi Kyung Kim
    Nutrients.2020; 12(1): 189.     CrossRef
  • Mercury Exposure and Associations with Hyperlipidemia and Elevated Liver Enzymes: A Nationwide Cross-Sectional Survey
    Seungho Lee, Sung-Ran Cho, Inchul Jeong, Jae Bum Park, Mi-Yeon Shin, Sungkyoon Kim, Jin Hee Kim
    Toxics.2020; 8(3): 47.     CrossRef
  • The association between mercury concentrations and lipid profiles in the Korean National Environmental Health Survey (KoNEHS) cycle 3
    Soo Ho Sohn, Han Cheol Heo, Seongmin Jo, Chulyong Park, Joon Sakong
    Annals of Occupational and Environmental Medicine.2020;[Epub]     CrossRef
  • Aluminium levels in hair and urine are associated with overweight and obesity in a non-occupationally exposed population
    Alexey A. Tinkov, Margarita G. Skalnaya, Jan Aaseth, Olga P. Ajsuvakova, Michael Aschner, Anatoly V. Skalny
    Journal of Trace Elements in Medicine and Biology.2019; 56: 139.     CrossRef
  • The association of total blood mercury levels and overweight among Korean adolescents: analysis of the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2013
    Yi-Yeon Shin, In-Kyung Ryu, Mi-Jung Park, Shin-Hye Kim
    Korean Journal of Pediatrics.2018; 61(4): 121.     CrossRef
  • Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
    Xin Wang, Bhramar Mukherjee, Sung Kyun Park
    Environment International.2018; 121: 683.     CrossRef
  • Toenail mercury and dyslipidemia: Interaction with selenium
    Kyong Park, Eunmin Seo
    Journal of Trace Elements in Medicine and Biology.2017; 39: 43.     CrossRef
  • An analysis of factors affecting the mercury content in the human femoral bone
    A. Zioła-Frankowska, M. Dąbrowski, Ł. Kubaszewski, P. Rogala, A. Kowalski, M. Frankowski
    Environmental Science and Pollution Research.2017; 24(1): 547.     CrossRef
  • Relationship between Selected Serum Metallic Elements and Obesity in Children and Adolescent in the U.S.
    Yun Fan, Chunlan Zhang, Jin Bu
    Nutrients.2017; 9(2): 104.     CrossRef
  • Association between Blood Mercury Level and Visceral Adiposity in Adults
    Seong-Su Moon
    Diabetes & Metabolism Journal.2017; 41(2): 96.     CrossRef
  • Association between Blood Mercury Level and Visceral Adiposity in Adults
    Jong Suk Park, Kyoung Hwa Ha, Ka He, Dae Jung Kim
    Diabetes & Metabolism Journal.2017; 41(2): 113.     CrossRef
  • Is mercury exposure causing diabetes, metabolic syndrome and insulin resistance? A systematic review of the literature
    Cynthia Roy, Pierre-Yves Tremblay, Pierre Ayotte
    Environmental Research.2017; 156: 747.     CrossRef
  • Effects of biological factors and health condition on mercury and selenium concentrations in the cartilage, meniscus and anterior cruciate ligament
    Danuta I. Kosik-Bogacka, Natalia Lanocha-Arendarczyk, Karolina Kot, Zaneta Ciosek, Pawel Zietek, Maciej Karaczun, Bogumila Pilarczyk, Agnieszka Tomza-Marciniak, Joanna Podlasinska, Elzbieta Kalisinska, Joanna Pyzia
    Journal of Trace Elements in Medicine and Biology.2017; 44: 201.     CrossRef
  • The Association Between Blood Mercury Levels and Risk for Overweight in a General Adult Population: Results from the Korean National Health and Nutrition Examination Survey
    Seunghyun Lee, Jin-Ha Yoon, Jong-Uk Won, Wanhyung Lee, June-Hee Lee, Hongdeok Seok, Yeong-Kwang Kim, Chi-Nyon Kim, Jaehoon Roh
    Biological Trace Element Research.2016; 171(2): 251.     CrossRef
  • Mercury as a possible link between maternal obesity and autism spectrum disorder
    Anatoly V. Skalny, Margarita G. Skalnaya, Geir Bjørklund, Alexandr A. Nikonorov, Alexey A. Tinkov
    Medical Hypotheses.2016; 91: 90.     CrossRef
  • Cut-Off Values of Blood Mercury Concentration in Relation to Increased Body Mass Index and Waist Circumference in Koreans
    Suhyun Bae, Soo-Jung Park, Kyung-Jin Yeum, Beomhee Choi, Young-Sang Kim, Nam-Seok Joo
    Journal of Investigative Medicine.2016; 64(4): 867.     CrossRef
  • Blood Mercury Can Be a Factor of Elevated Serum Ferritin: Analysis of Korea National Health and Nutrition Examination Survey (KNHANES 2008–2012)
    Nam-Seok Joo, Young-Hwa Choi, Kyung-Jin Yeum, Soo-Jung Park, Beomhee Choi, Young-Sang Kim
    Biological Trace Element Research.2015; 164(1): 3.     CrossRef
  • Mercury and metabolic syndrome: a review of experimental and clinical observations
    Alexey A. Tinkov, Olga P. Ajsuvakova, Margarita G. Skalnaya, Elizaveta V. Popova, Anton I. Sinitskii, Olga N. Nemereshina, Evgenia R. Gatiatulina, Alexandr A. Nikonorov, Anatoly V. Skalny
    BioMetals.2015; 28(2): 231.     CrossRef
  • The influence of obesity on blood mercury levels for U.S. non-pregnant adults and children: NHANES 2007–2010
    Sarah E. Rothenberg, Susan A. Korrick, Raja Fayad
    Environmental Research.2015; 138: 173.     CrossRef
  • Pb, Hg and Cd Concentration of Blood and Exposure-Related Factors
    Jung-Sook Oh, Sun-Hee Lee
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(3): 2089.     CrossRef
  • Population correlates of circulating mercury levels in Korean adults: the Korea National Health and Nutrition Examination Survey IV
    Seongbeom Cho, David R Jacobs, Kyong Park
    BMC Public Health.2014;[Epub]     CrossRef
  • Reference levels of blood mercury and association with metabolic syndrome in Korean adults
    Sang-Yong Eom, Sun-Hee Choi, Su-Ju Ahn, Dong-Kyeong Kim, Dong-Won Kim, Ji-Ae Lim, Byung-Sun Choi, Hye-Jung Shin, Sin-Weon Yun, Hae-Jung Yoon, Yu-Mi Kim, Young-Seoub Hong, Yong-Woon Yun, Seok-Joon Sohn, Heon Kim, Kyung-Su Park, Hee-Soo Pyo, Ho Kim, Se-Youn
    International Archives of Occupational and Environmental Health.2014; 87(5): 501.     CrossRef
  • Heavy Metal and Obesity
    Sang Woo Oh
    The Korean Journal of Obesity.2014; 23(1): 20.     CrossRef
  • Relationship between blood mercury concentrations and serum γ-glutamyltranspeptidase level in Korean adults using data from the 2010 Korean National Health and Nutrition Examination Survey
    Min-Seok Seo, Hye-Ree Lee, Jae-Yong Shim, Hee-Taik Kang, Yong-Jae Lee
    Clinica Chimica Acta.2014; 430: 160.     CrossRef
  • Additive effect of heavy metals on metabolic syndrome in the Korean population: the Korea National Health and Nutrition Examination Survey (KNHANES) 2009–2010
    Seong-Su Moon
    Endocrine.2014; 46(2): 263.     CrossRef
  • Relationship between Blood Mercury Level and Risk of Cardiovascular Diseases: Results from the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV) 2008-2009
    Young-Nam Kim, Young A Kim, Ae-Ri Yang, Bog-Hieu Lee
    Preventive Nutrition and Food Science.2014; 19(4): 333.     CrossRef
  • Hair Mercury Levels in Periodontal Patients in Comparison with Healthy Individuals
    Soraya Khafri, Hamidreza Hasanjani Roushan, Hadi Parsian, Ramin Alijannia, Abbas Mosapour
    World Journal of Dentistry.2014; 5(3): 166.     CrossRef
  • Association of lead, mercury and cadmium with diabetes in the Korean population: The Korea National Health and Nutrition Examination Survey (KNHANES) 2009–2010
    S.‐S. Moon
    Diabetic Medicine.2013;[Epub]     CrossRef
  • The Relationships Between Blood Mercury Concentration and Body Composition Measures Using 2010 Korean National Health and Nutrition Examination Survey
    Dae-won Kang, Ka-young Lee
    The Korean Journal of Obesity.2013; 22(4): 237.     CrossRef
  • Prevalence of Unrecognized Lower Extremity Peripheral Arterial Disease and the Associated Factors in Chinese Hypertensive Adults
    Mingli He, Xianhui Qin, Yimin Cui, Yefeng Cai, Liming Sun, Xin Xu, Binyan Wang, Genfu Tang, Houxun Xing, Xiaobin Wang, Xiping Xu, Yong Huo
    The American Journal of Cardiology.2012; 110(11): 1692.     CrossRef
Association Between MicroRNA196a2 rs11614913 Genotypes and the Risk of Non-Small Cell Lung Cancer in Korean Population
Young-Seoub Hong, Ho-Jin Kang, Jong-Young Kwak, Byung Lae Park, Chang-Hun You, Yu-Mi Kim, Heon Kim
J Prev Med Public Health. 2011;44(3):125-130.   Published online May 17, 2010
DOI: https://doi.org/10.3961/jpmph.2011.44.3.125
  • 10,109 View
  • 103 Download
  • 33 Crossref
AbstractAbstract PDF
Objectives

The microRNA (miRNA) miR-196a2 may play an important role in lung cancer development and survival by altering binding activity of target mRNA. In this study, we evaluated their associations with the susceptibility of non-small cell lung cancers (NSCLC) by case-control study in a Korean population.

Methods

We performed genotyping analyses for miR-196a2 rs11614913 T/C at miRNA regions in a case-control study using blood samples of 406 NSCLC patient and 428 cancer-free control groups.

Results

The total C allele frequencies for miR-196a2 were 48.8% for the patients and 45.6% for the controls; and the genotype frequencies of TT, TC, and CC were 23.7%, 55.2%, and 21.1% for the patients and 31.1%, 46.35%, and 22.4% for the controls (p<0.05). Participants who possesses TC/CC genotypes showed high risk for NSCLC compared to those possessed TT genotypes (OR, 1.42; 95% CI, 1.03 to 1.96). The association was persisted in 60 and older age group, male, smokers, those without family history for cancer. However, no significant association of CC genotypes in recessive genetic model was observed.

Conclusions

In conclusion, this case-control study provides evidence that miR-196a2 rs11614913 C/T polymorphisms are associated with a significantly increased risk of NSCLC in a dominant model, indicating that common genetic polymorphisms in miR-196a2 rs11614913 are associated with NSCLC. The association of miR196a2 rs11614913 polymorphisms and NSCLC risk require confirmation through additional larger studies.

Summary

Citations

Citations to this article as recorded by  
  • MiRNA-423 rs6505162 and miRNA-6811 rs2292879 SNP associated with lung cancer in Hainan, China
    Jing Zhou, Chong Meng, Yixuan Li, Yihui Fu, Wenfang Long, Hairong Huang, Yunru Liu, Pengfei Lyu, Sha Xiao
    Bioscience Reports.2023;[Epub]     CrossRef
  • Molecular basis of sex differences in cancer: Perspective from Asia
    Eric David Ornos, Leslie Faye Cando, Charlene Divine Catral, Elgin Paul Quebral, Ourlad Alzeus Tantengco, Ma. Veronica Pia Arevalo, Edward Christopher Dee
    iScience.2023; 26(7): 107101.     CrossRef
  • Effect of miR-196a2 rs11614913 Polymorphism on Cancer Susceptibility: Evidence From an Updated Meta-Analysis
    Md. Abdul Aziz, Tahmina Akter, Mohammad Safiqul Islam
    Technology in Cancer Research & Treatment.2022; 21: 153303382211097.     CrossRef
  • Authors’ reply to Jayaraj et al. ‘s Letter to the Editor re: MIR196A2 rs11614913 contributes to susceptibility to colorectal cancer in Iranian population: A multi-center case-control study and meta-analysis
    Monir Sadat Haerian, Batoul Sadat Haerian, Saadat Molanaei, Farid Kosari, Shahram Sabeti, Farahnaz Bidari-zerehpoosh, Ebrahim Abdolali
    Gene.2021; 801: 145849.     CrossRef
  • Characteristics of miRNA-SNPs in healthy Japanese subjects and non-small cell lung cancer, colorectal cancer, and soft tissue sarcoma patients
    Koki Katayama, Shimon Nakashima, Hiroo Ishida, Yutaro Kubota, Masataka Nakano, Tatsuki Fukami, Yasutsuna Sasaki, Ken-ichi Fujita, Miki Nakajima
    Non-coding RNA Research.2021; 6(3): 123.     CrossRef
  • The Molecular Analysis of rs11614913 Polymorphism from miRNA196a Gene and Its Relationship with TNF-α Gene Expression in Cervical Cancer
    Ahmad Hamta, Fatemeh Hajihassani
    Jentashapir Journal of Cellular and Molecular Biology.2020;[Epub]     CrossRef
  • Association of mir-196a-2 rs11614913 and mir-149 rs2292832 Polymorphisms With Risk of Cancer: An Updated Meta-Analysis
    Jalal Choupani, Ziba Nariman-Saleh-Fam, Zahra Saadatian, Elaheh Ouladsahebmadarek, Andrea Masotti, Milad Bastami
    Frontiers in Genetics.2019;[Epub]     CrossRef
  • Impacts of single nucleotide polymorphisms in three microRNAs (miR-146a, miR-196a2 and miR-499) on the susceptibility to cervical cancer among Indian women
    Nisha Thakur, Pallavi Singhal, Ravi Mehrotra, Mausumi Bharadwaj
    Bioscience Reports.2019;[Epub]     CrossRef
  • Micro-RNA 196a2 expression and miR-196a2 (rs11614913) polymorphism in T1DM: a pilot study
    Alshaymaa A. Ibrahim, Abeer Ramadan, Aliaa Ahmed Wahby, Mirhane Hassan, Hend M. Soliman, Tamer A. Abdel Hamid
    Journal of Pediatric Endocrinology and Metabolism.2019; 32(10): 1171.     CrossRef
  • MIR196A2 rs11614913 C > T polymorphism correlates with an increased risk of hepatopulmonary syndrome in liver cirrhosis: a case–control study in China
    Hai‐Yong Chen, Yao‐Min Chen, Jian Wu, Fu‐Chun Yang, Zhen Lv, Xiao‐Feng Xu, Shu‐Sen Zheng, Sang‐Sang Liao, Yi‐Hui Luo
    Hepatology Research.2017; 47(8): 793.     CrossRef
  • Association of miR-196a2 rs11614913 and miR-499 rs3746444 polymorphisms with cancer risk: a meta-analysis
    Wanjun Yan, Xiaoyan Gao, Shuqun Zhang
    Oncotarget.2017; 8(69): 114344.     CrossRef
  • MiR-196a2 and lung cancer in Chinese non-smoking females: a genetic association study and expression analysis
    Zhihua Yin, Zhigang Cui, Yangwu Ren, Lingzi Xia, Hang Li, Baosen Zhou
    Oncotarget.2017; 8(41): 70890.     CrossRef
  • Somatic Mutation of the SNP rs11614913 and Its Association with Increased MIR 196A2 Expression in Breast Cancer
    Huanhuan Zhao, Jingman Xu, Dan Zhao, Meijuan Geng, Haize Ge, Li Fu, Zhengmao Zhu
    DNA and Cell Biology.2016; 35(2): 81.     CrossRef
  • MicroRNA-196a2 Biomarker and Targetome Network Analysis in Solid Tumors
    Eman A. Toraih, Manal S. Fawzy, Eman A. Mohammed, Mohammad H. Hussein, Mohamad M. EL-Labban
    Molecular Diagnosis & Therapy.2016; 20(6): 559.     CrossRef
  • MicroRNA Gene Polymorphisms in Evaluating Therapeutic Efficacy After Transcatheter Arterial Chemoembolization for Primary Hepatocellular Carcinoma
    Guang-Ping Qiu, Jie Liu
    Genetic Testing and Molecular Biomarkers.2016; 20(10): 579.     CrossRef
  • Individualized medicine enabled by genomics in Saudi Arabia
    Muhammad Abu-Elmagd, Mourad Assidi, Hans-Juergen Schulten, Ashraf Dallol, Peter Natesan Pushparaj, Farid Ahmed, Stephen W Scherer, Mohammed Al-Qahtani
    BMC Medical Genomics.2015;[Epub]     CrossRef
  • Functional genetic variants in pre-miR-146a and 196a2 genes are associated with risk of lung cancer in North Indians
    Kushaldeep Kaur Sodhi, Charu Bahl, Navneet Singh, Digamber Behera, Siddharth Sharma
    Future Oncology.2015; 11(15): 2159.     CrossRef
  • Quantitative assessment of the association between miR-196a2 rs11614913 polymorphism and cancer risk: evidence based on 45,816 subjects
    Zhengjun Kang, Yuhui Li, Xiaokai He, Tao Jiu, Jinxing Wei, Fengyan Tian, Chaohui Gu
    Tumor Biology.2014; 35(7): 6271.     CrossRef
  • Effects of four single nucleotide polymorphisms in microRNA-coding genes on lung cancer risk
    Xiaohong Fan, Zhijun Wu
    Tumor Biology.2014; 35(11): 10815.     CrossRef
  • Two functional polymorphisms in microRNAs and lung cancer risk: a meta-analysis
    Gang Wang, Wulong Wang, Wenbin Gao, Jinyan Lv, Jinnv Fang
    Tumor Biology.2014; 35(3): 2693.     CrossRef
  • Effects of common polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on susceptibility to colorectal cancer: a systematic review meta-analysis
    D. Wan, W. Gu, G. Xu, C. Shen, D. Ding, S. Shen, S. Wang, X. Gong, S. He, Q. Zhi
    Clinical and Translational Oncology.2014; 16(9): 792.     CrossRef
  • Association Analysis of Single Nucleotide Polymorphisms in miR-146a and miR-196a2 on the Prevalence of Cancer in Elderly Japanese: A Case-Control Study
    Cuneyd Parlayan, Shinobu Ikeda, Noriko Sato, Motoji Sawabe, Masaaki Muramatsu, Tomio Arai
    Asian Pacific Journal of Cancer Prevention.2014; 15(5): 2101.     CrossRef
  • Effects of Common Polymorphism rs11614913 in Hsa-miR-196a2 on Lung Cancer Risk
    Zhengrong Yuan, Xu Zeng, Dan Yang, Weilu Wang, Zhihua Liu, Giuseppe Viglietto
    PLoS ONE.2013; 8(4): e61047.     CrossRef
  • Polymorphisms of microRNA Sequences or Binding Sites and Lung Cancer: A Meta-Analysis and Systematic Review
    Zhiwei Chen, Ling Xu, Xiangyun Ye, Shengping Shen, Ziming Li, Xiaomin Niu, Shun Lu, Ramon Andrade de Mello
    PLoS ONE.2013; 8(4): e61008.     CrossRef
  • Association between microRNA Polymorphisms and Cancer Risk Based on the Findings of 66 Case-Control Studies
    Xiao Pin Ma, Ting Zhang, Bo Peng, Long Yu, De Ke Jiang, Georgina L. Hold
    PLoS ONE.2013; 8(11): e79584.     CrossRef
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    Yeqiong Xu, Ling Gu, Yuqin Pan, Rui Li, Tianyi Gao, Guoqi Song, Zhenlin Nie, Liping Chen, Shukui Wang, Bangshun He, Sadashiva Karnik
    PLoS ONE.2013; 8(6): e65123.     CrossRef
  • Opportunities and Challenges for Selected Emerging Technologies in Cancer Epidemiology: Mitochondrial, Epigenomic, Metabolomic, and Telomerase Profiling
    Mukesh Verma, Muin J. Khoury, John P.A. Ioannidis
    Cancer Epidemiology, Biomarkers & Prevention.2013; 22(2): 189.     CrossRef
  • The association of miR-146a rs2910164 and miR-196a2 rs11614913 polymorphisms with cancer risk: a meta-analysis of 32 studies
    Jianbo Wang, Qingwei Wang, Hong Liu, Na Shao, Bingxu Tan, Guangyu Zhang, Kai Wang, Yibin Jia, Wei Ma, Nana Wang, Yufeng Cheng
    Mutagenesis.2012; 27(6): 779.     CrossRef
  • Mechanistic Roles of Noncoding RNAs in Lung Cancer Biology and Their Clinical Implications
    Katey S. S. Enfield, Larissa A. Pikor, Victor D. Martinez, Wan L. Lam
    Genetics Research International.2012; 2012: 1.     CrossRef
  • A Genetic Variant in miR-196a2 Increased Digestive System Cancer Risks: A Meta-Analysis of 15 Case-Control Studies
    Jing Guo, Mingjuan Jin, Mingwu Zhang, Kun Chen, Brock C. Christensen
    PLoS ONE.2012; 7(1): e30585.     CrossRef
  • Comprehensive Review of Genetic Association Studies and Meta-Analyses on miRNA Polymorphisms and Cancer Risk
    Kshitij Srivastava, Anvesha Srivastava, Leon J. de Windt
    PLoS ONE.2012; 7(11): e50966.     CrossRef
  • miR-196a2 polymorphisms and susceptibility to cancer: A meta-analysis involving 24,697 subjects
    PINGYU WANG, SHUYANG XIE, AIDONG CUI, YANXIANG ZHANG, BAOFA JIANG
    Experimental and Therapeutic Medicine.2012; 3(2): 324.     CrossRef
  • miR-196a2 C allele is a low-penetrant risk factor for cancer development
    Li-Xin Qiu, You Wang, Zu-Guang Xia, Bo Xi, Chen Mao, Jia-Lei Wang, Bi-Yun Wang, Fang-Fang Lv, Xiang-Hua Wu, Ling-Qing Hu
    Cytokine.2011; 56(3): 589.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health