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Original Article
The Relationship between Metformin and Cancer in Patients with Type 2 Diabetes
Hyun Hee Chung, Jun Sung Moon, Ji Sung Yoon, Hyoung Woo Lee, Kyu Chang Won
Diabetes Metab J. 2013;37(2):125-131.   Published online April 16, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.2.125
  • 4,494 View
  • 33 Download
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

Recently, several studies reported that the cancer incidence in type 2 diabetes patients is higher than in the general population. Although a number of risks are shared between cancer and diabetes patients, there have been few studies of its correlation. We evaluated the influences of several factors including low density lipoprotein cholesterol (LDL-C), albuminuria and use of metformin on the risk of cancer in patients with type 2 diabetes.

Methods

We enrolled 1,320 patients with at least 5 years of follow-up and 73 patients were diagnosed with cancer during this period. The associations of the risk factors with cancer incidence were evaluated by multiple regression analysis. The subjects were placed into two subgroups based on metformin dosage (<1,000 mg/day, ≥1,000 mg/day) and we compared cancer incidence using analysis of covariance.

Results

LDL-C and albuminuria were not significantly correlated with cancer risk. In contrast, metformin showed a reverse correlation with cancer risk (P=0.006; relative risk, 0.574). In the metformin nonadministration group, smoking, male gender, and high triglyceride levels tended to be contributing factors without statistical significance. Cancer occurence was lower in the low dose metformin group (less than 1,000 mg/day) (P=0.00).

Conclusion

These results suggest that the administration of low dose metformin in patients with type 2 diabetes may be associated with a reduced risk of cancer.

Citations

Citations to this article as recorded by  
  • Metformin Reduces Tumor Growth in a Murine Flank Schwannoma Model
    Sudhir Manickavel, Yolanda Hartman, Andrew Burns, Manuel A. Lora Gonzalez, Jason Warram, Erika Walsh, Jacob B. Hunter, Daniel E. Killeen
    Otology & Neurotology.2023;[Epub]     CrossRef
  • Metformin induces TPC-1 cell apoptosis through endoplasmic reticulum stress-associated pathways in vitro and in vivo
    Jianwen Ye, Lei Qi, Kunlun Chen, Renfeng Li, Shengping Song, Chuang Zhou, Wenlong Zhai
    International Journal of Oncology.2019;[Epub]     CrossRef
  • Metformin Promotes Apoptosis but Suppresses Autophagy in Glucose-Deprived H4IIE Hepatocellular Carcinoma Cells
    Deok-Bae Park
    Diabetes & Metabolism Journal.2015; 39(6): 518.     CrossRef
  • Combination Therapy of Metformin and Statin May Decrease Hepatocellular Carcinoma Among Diabetic Patients in Asia
    Hsin-Hung Chen, Ming-Chia Lin, Chih-Hsin Muo, Su-Yin Yeh, Fung-Chang Sung, Chia-Hung Kao
    Medicine.2015; 94(24): e1013.     CrossRef
  • mitoNEET as a novel drug target for mitochondrial dysfunction
    Werner J. Geldenhuys, Thomas C. Leeper, Richard T. Carroll
    Drug Discovery Today.2014; 19(10): 1601.     CrossRef
  • Diabetes - Increased Risk for Cancers through Chromosomal Aberrations?
    Sudhaa Anand, Badari Nath, Radha Saraswathy
    Asian Pacific Journal of Cancer Prevention.2014; 15(11): 4571.     CrossRef
  • Oleanolic Acid Induces Metabolic Adaptation in Cancer Cells by Activating the AMP-Activated Protein Kinase Pathway
    Jia Liu, Lanhong Zheng, Ning Wu, Leina Ma, Jiateng Zhong, Ge Liu, Xiukun Lin
    Journal of Agricultural and Food Chemistry.2014; 62(24): 5528.     CrossRef
  • Association of Vitamin B12Deficiency and Metformin Use in Patients with Type 2 Diabetes
    Sun-Hye Ko, Sun-Hee Ko, Yu-Bae Ahn, Ki-Ho Song, Kyung-Do Han, Yong-Moon Park, Seung-Hyun Ko, Hye-Soo Kim
    Journal of Korean Medical Science.2014; 29(7): 965.     CrossRef
  • Metformin and Cancer Risk and Mortality: A Systematic Review and Meta-analysis Taking into Account Biases and Confounders
    Sara Gandini, Matteo Puntoni, Brandy M. Heckman-Stoddard, Barbara K. Dunn, Leslie Ford, Andrea DeCensi, Eva Szabo
    Cancer Prevention Research.2014; 7(9): 867.     CrossRef
  • Complications of Diabetes Therapy
    Sarah D. Corathers, Shawn Peavie, Marzieh Salehi
    Clinics Collections.2014; 1: 37.     CrossRef
  • Effects of Metformin on CD133+ Colorectal Cancer Cells in Diabetic Patients
    Yanfei Zhang, Meiping Guan, Zongji Zheng, Qian Zhang, Fang Gao, Yaoming Xue, Chunming Liu
    PLoS ONE.2013; 8(11): e81264.     CrossRef
  • AACE Comprehensive Diabetes Management Algorithm 2013 Endocrine Practice
    Héctor Eloy Tamez-Pérez, Stephanie Lissette Proskauer-Peña, Mayra Ivonne Hernández-Coria
    Endocrine Practice.2013; 19(4): 736.     CrossRef
  • Complications of Diabetes Therapy
    Sarah D. Corathers, Shawn Peavie, Marzieh Salehi
    Endocrinology and Metabolism Clinics of North America.2013; 42(4): 947.     CrossRef
  • Metformin and Cancer in Type 2 Diabetes
    Hyeong Kyu Park
    Diabetes & Metabolism Journal.2013; 37(2): 113.     CrossRef
Editorial
Prevalence, Awareness, and Control of Hypertension among Diabetic Koreans
Hyun Hee Chung, Kyu Chang Won
Diabetes Metab J. 2011;35(4):337-339.   Published online August 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.4.337
  • 3,245 View
  • 37 Download
  • 6 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • The practice of consanguineous marriage and the risk of diabetes among offspring in the province of Tetouan (Morocco)
    Mohamed Hajjaji, AbdErrazzak Khadmaoui, Mohamed El Bakkali
    Arab Gulf Journal of Scientific Research.2024; 42(1): 30.     CrossRef
  • ACE Inhibitors and Angiotensin Receptor Blockers for the Primary and Secondary Prevention of Cardiovascular Outcomes: Recommendations from the 2024 Egyptian Cardiology Expert Consensus in Collaboration with the CVREP Foundation
    Mohamed Sobhy, Adel Eletriby, Hany Ragy, Hossam Kandil, Mohamed Ayman Saleh, Nabil Farag, Ramez Guindy, Ahmed Bendary, Ahmed Mohamed Elmahmoudy Nayel, Ahmed Shawky, Ayman Khairy, Ayman Mortada, Bassem Zarif, Haitham Badran, Hazem Khorshid, Kareem Mahmoud,
    Cardiology and Therapy.2024; 13(4): 707.     CrossRef
  • Insulin Resistance and Hypertension among Type 2 Diabetes Subjects in a Tertiary Institution in South East Nigeria
    Michael Chinweuba Abonyi, Ekenechukwu Esther Young, Chidinma Brenda Nwatu, Chidiebere Valentine Ugwueze, Marcellinus Okafor Nkpozi, Uzoma Chukwunonso Okechukwu, Maryann Kanayo Oham, John Aniebo Maluze, Fintan Chinweike Ekochin, Ginikachi Ginikachi Ucheze
    Nigerian Journal of Medicine.2023; 32(4): 422.     CrossRef
  • The prevalence of hypertension and its progression among patients with type 2 diabetes in Jordan
    Ahlam Bani Salameh, Dana Hyassat, Ahmad Suhail, Zaina Makahleh, Yousef Khader, Mohammed EL-Khateeb, Kamel Ajlouni
    Annals of Medicine and Surgery.2022; 73: 103162.     CrossRef
  • Gender dependent effects of fasting blood glucose levels and disease duration on biochemical markers in type 2 diabetics: A pilot study
    Abhijit A. Ghadge, Arundhati G. Diwan, Abhay M. Harsulkar, Aniket A. Kuvalekar
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11: S481.     CrossRef
  • Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases
    Min Kyung Sung, Hyoeun Bang, Jung Kyoon Choi
    Genomics & Informatics.2014; 12(4): 181.     CrossRef
Original Article
The Combination of Fasting Plasma Glucose and Glycosylated Hemoglobin as a Predictor for Type 2 Diabetes in Korean Adults.
Chan Hee Lee, Woo Jin Chang, Hyun Hee Chung, Hyun Jung Kim, Sang Hyun Park, Jun Sung Moon, Ji Eun Lee, Ji Sung Yoon, Kyung Ah Chun, Kyu Chang Won, Ihn Ho Cho, Hyoung Woo Lee
Korean Diabetes J. 2009;33(4):306-314.   Published online August 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.4.306
  • 3,572 View
  • 28 Download
  • 8 Crossref
AbstractAbstract PDF
BACKGROUND
The oral glucose tolerance test (OGTT) for detection of diabetes is difficult to perform in clinical settings. The aim of this study is to evaluate the performance of a more practical detection test, combined fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c), as a predictor of diabetes mellitus (DM) in a Korean sample. METHODS: We examined 2,045 (M = 1,276, mean age = 47.8 +/- 9.0 yrs) medical check-up program participants between January 2002 to December 2003. FPG, HbA1c and a number of other biochemical tests were performed at baseline and four after years after initial screening. Patients who originally presented with diabetes were excluded. The characteristics of newly-diagnosed DM patients and non-diabetic patients were compared. RESULTS: The incidence of newly diagnosed diabetes was 1.6% (32/2,045) after four years of follow up. The subjects in the DM group were older, had higher levels of SBP, DBP, FPG, HbA1c, triglyceride, HDL cholesterol, GGT and LDH (P < 0.05). In multivariate logistic regression analysis, FPG (odds ratio [OR] 1.124) and HbA1c (OR 4.794) were significantly correlated with onset of diabetes (P < 0.05). The interaction parameter between FPG and HbA1c was more than 1.0, indicating that the two effects are synergistic. The predictive cut-off values of HbA1c and FPG were 5.35% (area under curve [AUC] = 0.944) and 102.5 mg/dL (AUC = 0.930), respectively. CONCLUSION: The combination of HbA1c above 5.35% and FPG above 102.5 mg/dL predicted the onset of diabetes in a Korean sample. These results suggest that the combination of FPG and HbA1c may be useful for predicting progression to type 2 diabetes in east Asians.

Citations

Citations to this article as recorded by  
  • The Distribution and Characteristics of Abnormal Findings Regarding Fasting Plasma Glucose and HbA1c - Based on Adults Except for Known Diabetes
    Seyoung Kwon, Youngak Na
    The Korean Journal of Clinical Laboratory Science.2017; 49(3): 239.     CrossRef
  • Factors Affecting Diabetic Screening Behavior of Korean Adults: A Multilevel Analysis
    Hyeongsu Kim, Minjung Lee, Haejoon Kim, Kunsei Lee, Sounghoon Chang, Vitna Kim, Jun Pyo Myong, Soyoun Jeon
    Asian Nursing Research.2013; 7(2): 67.     CrossRef
  • Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea
    Hong-Kyu Kim, Sung-Jin Bae, Jaeone Choe
    Diabetes & Metabolism Journal.2012; 36(2): 151.     CrossRef
  • The Utility of HbA1c as a Diagnostic Criterion of Diabetes
    Hee-Jung Kim, Eun Young Choi, Eal Whan Park, Yoo Seock Cheong, Hong-Yoen Lee, Ji Hyun Kim
    Korean Journal of Family Medicine.2011; 32(7): 383.     CrossRef
  • Predictive Clinical Parameters for the Therapeutic Efficacy of Sitagliptin in Korean Type 2 Diabetes Mellitus
    Soon Ae Kim, Woo Ho Shim, Eun Hae Lee, Young Mi Lee, Sun Hee Beom, Eun Sook Kim, Jeong Seon Yoo, Ji Sun Nam, Min Ho Cho, Jong Suk Park, Chul Woo Ahn, Kyung Rae Kim
    Diabetes & Metabolism Journal.2011; 35(2): 159.     CrossRef
  • Optimal range of HbA1c for the prediction of future diabetes: A 4-year longitudinal study
    Ji Cheol Bae, Eun Jung Rhee, Won Young Lee, Se Eun Park, Cheol Young Park, Ki Won Oh, Sung Woo Park, Sun Woo Kim
    Diabetes Research and Clinical Practice.2011; 93(2): 255.     CrossRef
  • The Combination of Fasting Plasma Glucose and Glycosylated Hemoglobin as a Predictor for Type 2 Diabetes in Korean Adults (Korean Diabetes J 33(4):306-314, 2009)
    Soo Lim
    Korean Diabetes Journal.2009; 33(5): 448.     CrossRef
  • The Combination of Fasting Plasma Glucose and Glycosylated Hemoglobin as a Predictor for Type 2 Diabetes in Korean Adults (Korean Diabetes J 33(4):306-314, 2009)
    Chan Hee Lee, Hyoung Woo Lee
    Korean Diabetes Journal.2009; 33(5): 451.     CrossRef

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