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Zeng Q, Ren H, Liu C, Liu T, Xie Y, Tang X. Polymorphisms of inflammation-related genes and susceptibility to childhood leukemia: evidence from a meta-analysis of 16 published studies. Hematology 2023; 28:2210905. [PMID: 37183941 DOI: 10.1080/16078454.2023.2210905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Abstract
OBJECTIVE This study was to comprehensively clarify the associations between single nucleotide polymorphisms (SNPs) in inflammatory genes and the susceptibility to childhood leukemia. METHODS Eligible articles were collected from the databases of PubMed, EMBASE, Cochrane Library, CNKI and Wan Fang. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to estimate the association strength by using the STATA 15.0 software. RESULTS Sixteen studies were enrolled. These studies mainly evaluated SNPs in 13 genes, including C-X-C motif chemokine ligand 12 (CXCL12), toll-like receptor (TLR)-4, TLR6, TLR9, CD14, interleukin (IL)-1β, NLR family pyrin domain containing 3, IL-4, interleukin 4 receptor, IL-10, IL-13, macrophage migration inhibitory factor (MIF) and tumor necrosis factor-α. The meta-analysis indicated that CXCL12 rs1801157 (AG vs GG: OR = 1.99; 95%CI = 1.20-3.30; p = 0.008; AA + AG vs GG: OR = 1.92; 95%CI = 1.18-3.12; p = 0.009), TLR6 rs5743810 (TC vs TT: OR = 0.58; 95%CI = 0.39-0.85; p = 0.005), IL-10 rs1800871 (TC vs CC: OR = 1.19; 95%CI = 1.01-1.41; p = 0.044), rs1800872 (AC vs AA: OR = 1.53; 95%CI = 1.22-1.92; p < 0.001) and MIF rs755622 (CG versus GG: OR = 1.33; 95%CI = 1.07-1.67; p = 0.012) polymorphisms were associated with the risk of childhood leukemia. No significant correlations were found between SNPs in other genes and the childhood leukemia risk. Subgroup analyses of rs1800871 and rs1800872 confirmed the conclusions obtained in their overall meta-analytical processes. CONCLUSION CXCL12 rs1801157, TLR6 rs5743810, IL-10 rs1800871, rs1800872 and MIF rs755622 polymorphisms may represent candidate biomarkers for the risk prediction of childhood leukemia.
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Affiliation(s)
- Qiuping Zeng
- Department of Pediatric Hematology and Rheumatology, Zhuhai Center for Maternal and Child Health Care, Zhuhai, People's Republic of China
| | - Haoyan Ren
- Department of Pediatric Hematology and Rheumatology, Zhuhai Center for Maternal and Child Health Care, Zhuhai, People's Republic of China
| | - Cui Liu
- Department of Pediatrics, Qingdao Huangdao District Central Hospital, Qingdao, People's Republic of China
| | - Ting Liu
- Department of Pediatric Hematology and Rheumatology, Zhuhai Center for Maternal and Child Health Care, Zhuhai, People's Republic of China
| | - Yongwu Xie
- Department of Pediatric Hematology and Rheumatology, Zhuhai Center for Maternal and Child Health Care, Zhuhai, People's Republic of China
| | - Xiufu Tang
- Department of Pediatric Hematology and Rheumatology, Zhuhai Center for Maternal and Child Health Care, Zhuhai, People's Republic of China
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Zhu WY, Jin X, Ma YC, Liu ZB. Correlations of MIF polymorphism and serum levels of MIF with glucocorticoid sensitivity of sudden sensorineural hearing loss. J Int Med Res 2019; 48:300060519893870. [PMID: 31889466 PMCID: PMC7607528 DOI: 10.1177/0300060519893870] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Objective This study explored the relationship between macrophage migration inhibitory
factor (MIF) gene polymorphism (−173G/C) and glucocorticoid sensitivity in
sudden sensorineural hearing loss (SSNHL). Methods A total of 120 patients with SSNHL were divided into a
glucocorticoid-sensitive group and a glucocorticoid-resistant group. A group
of 93 healthy individuals served as the control group. Serum MIF levels of
the participants were measured and MIF genotyping was
performed. Results The frequency of the MIF −173C allele was significantly
higher in glucocorticoid-sensitive patients than in glucocorticoid-resistant
patients. Serum MIF levels were significantly higher in SSNHL patients than
in healthy controls, and higher in the glucocorticoid-sensitive group than
in the glucocorticoid-resistant group of SSNHL patients, which was
unexpected. Compared with patients with the GG genotype, patients with the
−173C allele (GC and CC genotypes) had significantly higher levels of serum
MIF and superoxide dismutase activity and lower levels of tumor necrosis
factor-α and malondialdehyde. Conclusion The MIF −173G/C polymorphism is associated with
glucocorticoid sensitivity in SSNHL patients. The C allele can result in
higher MIF production, reduced oxidative stress, and greater glucocorticoid
sensitivity.
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Affiliation(s)
- Wen-Yan Zhu
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian 223300, Jiangsu Province, China
| | - Xin Jin
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian 223300, Jiangsu Province, China
| | - Yong-Chi Ma
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian 223300, Jiangsu Province, China
| | - Zhi-Biao Liu
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian 223300, Jiangsu Province, China
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Lin S, Wang M, Liu X, Zhu W, Guo Y, Dai Z, Yang P, Tian T, Dai C, Zheng Y, Hu C, Wei L, Dai Z. Association of genetic polymorphisms in MIF with breast cancer risk in Chinese women. Clin Exp Med 2017; 17:395-401. [PMID: 27844180 DOI: 10.1007/s10238-016-0439-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 10/30/2016] [Indexed: 12/30/2022]
Abstract
Macrophage migration inhibitory factor (MIF) has been reported to associate with increased cancer risk in several cancers. However, the role of MIF in breast cancer (BC) susceptibility remains unknown. For the first time, we conducted a case-control study to assess the potential association of three common MIF gene variants (rs755622, rs1803976, rs11548059) with BC susceptibility in Chinese women. Total 560 breast cancer patients and 583 age- and sex-matched healthy individuals were recruited from Northwest China, and the DNA was genotyped by Sequenom MassARRAY. Odds ratios (OR) and 95% confidence intervals (95% CI) were computed to estimate the associations. We found that C/G, C/C, and C/G-C/C genotype carriers in MIF rs755622 have a significantly increased risk of BC (C/G vs. G/G: OR = 1.36, 95% CI = 1.07-1.75, P = 0.014; C/C vs. GG: OR = 2.01, 95% CI = 1.06-3.79, P = 0.029; C/G-C/C vs. G/G: OR = 1.42 95% CI = 1.11-1.80, P = 0.004). Further analyses indicate that the BC risk is associated with Ki-67 status, and the rs755622 polymorphism increases breast cancer risk among elder patients (≥49 years). There is no association between BC risk and other two polymorphisms (rs1803976 and rs11548059) by overall analysis and stratified analysis. In conclusion, MIF rs755622 polymorphism increases BC susceptibility in Chinese population, especially among elder patients.
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Affiliation(s)
- Shuai Lin
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Meng Wang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Xinghan Liu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Wenge Zhu
- Department of Biochemistry and Molecular Medicine, The George Washington University Medical School, Washington, DC, USA
| | - Yan Guo
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhiming Dai
- Department of Anesthesia, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Pengtao Yang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Tian Tian
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Cong Dai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Yi Zheng
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Chunyan Hu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Linyan Wei
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Zhijun Dai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
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Wang CD, Li TM, Ren ZJ, Ji YL, Zhi LS. Contribution of Macrophage Migration Inhibitory Factor -173G/C Gene Polymorphism to the Risk of Cancer in Chinese Population. Asian Pac J Cancer Prev 2016; 16:4597-601. [PMID: 26107210 DOI: 10.7314/apjcp.2015.16.11.4597] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Macrophage migration inhibitory factor (MIF) -173G/C (rs755622) gene polymorphism has been associated with cancer risk. Previous studies have revealed that MIF -173G/C gene polymorphism may increase cancer in the Chinese population, while results of individual published studies remain inconsistent and inconclusive.We performed this meta-analysis to derive a more precise estimation of the relationship. MATERIALS AND METHODS We conducted a search on PubMed, Embase, MEDLINE, Cochrane Library ,Chinese National Knowledge Infrastructure (CNKI), Wanfang, Weipu on Dec 31, 2014.Odds ratio (OR) and 95% confidence interval (95% CI) were used to assess the association. A total of eight studies including 2,186 cases and 2,285 controls were involved in this meta-analysis. RESULTS The pooled results indicated the significant association between MIF -173G/C polymorphism and the risk of cancer for Chinese population (CC + CG vs GG: OR=1.14, 95%CI=1.02-127, pheterogeneity<0.01; P =0.023; CC vs CG+GG: OR=1.12, 95%CI=1.02- 1.23, pheterogeneity< 001; P =0.017;CC vs GG: OR=1.18, 95%CI=1.04-1.33, pheterogeneity<001; P =0.008; CG vs GG:OR=1.03, 95%CI=0.91-1.15, pheterogeneity<001; P =0.656; C vs G:OR=1.24, 95%CI=1.14-1.25, pheterogeneity<001; P <001). Subgroup analysis showed that in patients with "solid tumors", heterogeneity was very large (OR=0.94,95%CI=0.83-1.06,pheterogeneity=0.044; p=0.297). Within "non-solid tumors", the association became even stronger (OR=6.62, 95 % CI=4.32-10.14, pheterogeneity<0.001; p <0.001). CONCLUSIONS This study suggested that MIF ?173G/C gene polymorphism may increase increase cancer in the Chinese population.Furthermore, more larger sample and representative population-based casees and well-matched controls are needed to validate our results.
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Affiliation(s)
- Cheng-Di Wang
- Department of Respiratory Medicine, West China Hospital ,Sichuan University, Chengdu, Sichuan, China E-mail :
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Yazdani N, Kakavand Hamidi A, Ghazavi H, Rikhtegar MJ, Motesadi Zarandi M, Qorbani M, Amoli MM. Association between Macrophage Migration Inhibitory Factor Gene Variation and Response to Glucocorticoid Treatment in Sudden Sensorineural Hearing Loss. Audiol Neurootol 2015; 20:376-382. [PMID: 26426302 DOI: 10.1159/000438741] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Accepted: 07/15/2015] [Indexed: 11/19/2022] Open
Abstract
Several lines of evidence suggest the role of the immune system in the pathogenesis of sudden sensorineural hearing loss (SSNHL). Macrophage migration inhibitory factor (MIF) mediates its role in various immune and inflammatory conditions by the regulation of immune reactions. Several studies have confirmed an association between MIF gene polymorphisms and susceptibility to various inflammatory and autoimmune disorders. The aim of this study was to explore the association between the MIF (-173 G/C) polymorphism (rs755622) and SSNHL in an Iranian population. In this case-control association study, SSNHL cases (n = 77) were included. Normal healthy subjects (n = 100) were also recruited from the same region. Genotyping for MIF (-173 G/C) polymorphism was carried out using the polymerase chain reaction-restriction fragment length polymorphism technique. The frequency of the MIF -173 C allele carriers (GC + CC genotype) was significantly elevated in SSNHL patients who responded to glucocorticoid treatment compared with the patients with no response to treatment. These results suggest that the MIF gene polymorphism is associated with a response to glucocorticoid treatment in patients with SSNHL.
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Affiliation(s)
- Nasrin Yazdani
- Otorhinolaryngology Research Center, Amir-Alam Hospital, Department of Otolaryngology - Head and Neck Surgery, Tehran, Iran
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Association study between macrophage migration inhibitory factor-173 polymorphism and acute myeloid leukemia in Taiwan. Cell Biochem Biophys 2015; 70:1159-65. [PMID: 24879618 DOI: 10.1007/s12013-014-0036-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Acute myeloid leukemia (AML) is the most common acute leukemia diagnosed in adults. Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine that plays a significant role in pathogenesis and autoimmune diseases. The major function of MIF is to promote the cell proliferation, migration, and invasion. The aim of the present study is to identify the association between MIF-173 (rs755662) single nucleotide polymorphism (SNP) and AML in Taiwanese population. DNA samples extracted from 256 AML patients and 256 healthy controls were investigated using polymerase chain reaction followed by restriction fragment length polymorphism analysis. The association between MIF-173 SNP genotype and AML patients were assessed with SPSS software. The results show that the GC genotype of MIF-173 SNP is significantly higher in AML patients than in the healthy controls (OR 1.58, 95 % CI 1.06, P = 0.034). Carrier genotypes GC and CC may be a causative factor for AML cancer (OR 1.39, 95 % CI 0.95, P = 0.085). White blood cell count (10(3)/µl) were significantly associated with AML MIF-173 polymorphism patients (P = 0.002). Our results in this study provide the first evidence that the MIF-173 polymorphism is associated with AML. MIF is a potential biomarker for development of AML cancer in male adult in Taiwanese population. Further validations in other populations are warranted.
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Li C, Qiao B, Qi W, Zhan Y, Ma C, Zhao L, Li G. Association of Macrophage Migration Inhibitory Factor Polymorphisms with Gestational Diabetes Mellitus in Han Chinese Women. Gynecol Obstet Invest 2015; 81:84-9. [DOI: 10.1159/000398796] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 04/06/2015] [Indexed: 11/19/2022]
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Zhang X, Weng W, Xu W, Wang Y, Yu W, Tang X, Ma L, Pan Q, Wang J, Sun F. The association between the migration inhibitory factor -173G/C polymorphism and cancer risk: a meta-analysis. Onco Targets Ther 2015; 8:601-13. [PMID: 25792844 PMCID: PMC4360805 DOI: 10.2147/ott.s72795] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Previous studies have suggested that macrophage migration inhibitory factor (MIF) −173G/C polymorphism may be associated with cancer risk. However, previous research has demonstrated conflicting results. Therefore, we followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and the meta-analysis on genetic association studies checklist, and performed a meta-analysis to investigate the association between MIF −173G/C polymorphisms and the risk of cancer. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were combined to measure the association between MIF promoter polymorphisms and cancer risk. The pooled ORs were performed for the dominant model, recessive model, allelic model, homozygote comparison, and heterozygote comparison. The publication bias was examined by Begg’s funnel plots and Egger’s test. A total of ten studies enrolling 2,203 cases and 2,805 controls met the inclusion criteria. MIF (−173G/C) polymorphism was significantly associated with increased cancer risk under the dominant model (OR=1.32, 95%, CI=1.00–1.74, P=0.01) and the heterozygote comparison (OR=1.38, CI=1.01–1.87, P=0.04). In subgroup analysis, MIF polymorphism and prostate were related to increased risk of prostate and non-solid cancer. In conclusion, MIF polymorphism was significantly associated with cancer risk in heterozygote comparison. The MIF −173G/C polymorphism may be associated with increased cancer risk.
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Affiliation(s)
- Xiao Zhang
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Wenhao Weng
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Wen Xu
- Department of Clinical laboratory medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yulan Wang
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Wenjun Yu
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Xun Tang
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Lifang Ma
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Qiuhui Pan
- Department of Central Laboratory, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Jiayi Wang
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
| | - Fenyong Sun
- Department of Clinical laboratory medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, People's Republic of China
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Chen W, Hua K, Gu H, Zhang J, Wang L. Methylenetetrahydrofolate reductase C667T polymorphism is associated with increased risk of coronary artery disease in a Chinese population. Scand J Immunol 2015; 80:346-53. [PMID: 25124382 DOI: 10.1111/sji.12215] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Accepted: 07/14/2014] [Indexed: 01/15/2023]
Abstract
Coronary artery disease (CAD) is a complex disease resulting from a combination of environmental and genetic factors. We hypothesized that polymorphisms in methylenetetrahydrofolate reductase (MTHFR) rs1801133 C/T, matrix metalloproteinases (MMPs)-2, tumour necrosis factor (TNF)-α, macrophage migration inhibitory factor (MIF) rs755622 G/C and cyclin D1 (CCND1) rs678653 G/C contribute to CAD susceptibility. We examined the association between the five polymorphisms and the risk of CAD in a Chinese population of 435 CAD patients and 480 controls. Genotyping was performed using matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI/TOF MS). When the MTHFR rs1801133 CC homozygote genotype was used as the reference group, the TT or CT/TT genotypes were associated with a significantly increased risk for CAD. The CT heterozygote genotype was not associated with the risk for CAD. Logistic regression analyses revealed that MMP-2 rs243865 C/T, TNF-α rs1800629 A/G, MIF rs755622 G/C and CCND1 rs678653 G/C polymorphisms were not associated with the risk of CAD. These findings suggest that the MTHFR rs1801133 C/T polymorphism is associated with CAD development. Future larger studies with other ethnic populations are required to confirm current findings.
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Affiliation(s)
- W Chen
- Department of Cardiovascular Medicine, Cardiovascular Clinical College of Tianjin Medical University, TEDA International Cardiovascular Hospital, Tianjin, China
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Ramireddy L, Chen WTL, Peng CT, Hu RM, Ke TW, Chiang HC, Chang SC, Tsai FJ, Lo WY. Association Between Genetic Polymorphism of the MIF Gene and Colorectal Cancer in Taiwan. J Clin Lab Anal 2014; 29:268-74. [PMID: 24840392 DOI: 10.1002/jcla.21763] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Accepted: 03/14/2014] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the highest leading cause of cancer-related mortality in Taiwan. Macrophage migration inhibitory factor (MIF) has recently been defined as a novel protumorigenic factor that promotes cell proliferation, migration, and invasion. The aim of the present study is to identify the association between MIF gene polymorphism and CRC. METHODS A case-control study was designed to test the hypothesis. A total of 192 biopsy-diagnosed CRC patients (CRC) and 256 healthy subjects (control) were recruited. Genotyping of four single nucleotide polymorphism (SNPs; rs755662, rs11548059, rs1049829, rs1803976) at chromosome positions 755662 (5' UTR), 11548059 (exon2), 1049829 (exon2), 1803976 (exon3) was performed using a Taqman SNP genotyping assay. RESULTS There is a significant difference in genotype frequency distribution of rs755662 polymorphism between CRC patients and controls (P = 0.011). No significant difference was found in the frequency distribution of rs11548059, rs1049829, rs1803976 polymorphism in CRC patients and controls (P = 0.660, P = 0.700, and P = 0.959, respectively). Moreover, the MIF-173 SNP was also significantly associated with young patients (age < 50 years, P = 0.026) late stage (Stage IV, P = 0.038) and poor differentiation group (P = 0.040). Compared to the control group, the MIF-173 SNP also significantly associated with patients with stages III and IV (P = 0.034 and 0.003, respectively). CONCLUSION The presence of MIF-173 (G/C) gene polymorphism (rs755662) was associated with susceptibility, patient age, and stages of CRC in Taiwanese.
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Affiliation(s)
- Latha Ramireddy
- Department of Biomedical Informatics, Asia University, Taichung, Taiwan
| | - William Tzu-Liang Chen
- Division of Colorectal Surgery, Department of Surgery, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Ching-Tien Peng
- Department of Biomedical Informatics, Asia University, Taichung, Taiwan.,Department of Pediatrics, Children's Hospital, China Medical University, Taichung, Taiwan
| | - Rouh-Mei Hu
- Department of Biomedical Informatics, Asia University, Taichung, Taiwan
| | - Tao-Wei Ke
- Division of Colorectal Surgery, Department of Surgery, China Medical University Hospital, Taichung, Taiwan
| | - Hua-Che Chiang
- Division of Colorectal Surgery, Department of Surgery, China Medical University Hospital, Taichung, Taiwan
| | - Sheng-Chi Chang
- Division of Colorectal Surgery, Department of Surgery, China Medical University Hospital, Taichung, Taiwan
| | - Fuu-Jen Tsai
- Department of Pediatrics, Children's Hospital, China Medical University, Taichung, Taiwan
| | - Wan-Yu Lo
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.,Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan.,Department of Life Science, National Chung Hsing University, Taichung, Taiwan
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Liu R, Xu N, Wang X, Shen L, Zhao G, Zhang H, Fan W. Influence of MIF, CD40, and CD226 polymorphisms on risk of rheumatoid arthritis. Mol Biol Rep 2012; 39:6915-22. [PMID: 22302395 DOI: 10.1007/s11033-012-1518-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2011] [Accepted: 01/24/2012] [Indexed: 11/29/2022]
Abstract
Macrophage migration inhibitory factor (MIF) is a key pro-inflammatory mediator. It plays an important role part in the pathogenesis of several inflammatory and immune diseases. A functional single nucleotide polymorphism (SNP) of MIF -173 G/C is known to influence MIF promoter activity in T lymphoblast cell lines and is associated with a higher serum MIF level. The CD40 is also crucial for some relevant functions of the immune system and may be related to rheumatoid arthritis (RA). And CD226 is an important cell-surface receptor molecule involved in the adhesion and activation of T-cell. We hypothesized that these polymorphisms may contribute to RA susceptibility. We studied MIF -173 G/C, CD40, and CD226 gene polymorphisms in 214 patients with RA and 478 controls in a Chinese population. Genotyping was done by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). When the MIF -173 GG homozygote genotype was used as the reference group, the CC genotype was associated with a significantly increased risk for RA. In the recessive model, when the MIF -173 GG/GC genotypes were used as the reference group, the CC homozygote genotype was associated with a significant 1.56-fold increased susceptibility to RA. None of the CD40 rs1883832 C/T and CD226 rs763361 C/T polymorphisms achieved a significant difference in genotype distributions between cases and controls. In the stratification analyzes, a significantly increased risk for RA associated with the MIF -173 CC genotype was evident among CRP-negative patients compared with the MIF -173 GG/GC genotype. For the CD40 rs1883832 C/T variant, the risk effects of CD40 rs1883832 TT versus CD40 rs1883832 CC/CT were significant in men. These findings suggested that the functional SNP MIF -173 G/C variant allele was associated with the development of RA. However, CD40 and CD226 gene polymorphisms may not be associated with RA susceptibility. Due to the limitation of sample size, this study should be considered preliminary.
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Affiliation(s)
- Ruiping Liu
- Department of Orthopedics, The Affiliated Hospital of Nanjing Medical University, Changzhou Second People’s Hospital, Changzhou, China
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12
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Vera PL, Meyer-Siegler KL. Association between macrophage migration inhibitory factor promoter region polymorphism (-173 G/C) and cancer: a meta-analysis. BMC Res Notes 2011; 4:395. [PMID: 22168770 PMCID: PMC3238298 DOI: 10.1186/1756-0500-4-395] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2011] [Accepted: 10/11/2011] [Indexed: 12/21/2022] Open
Abstract
Background Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine upstream of many inflammatory cytokines. MIF is implicated in several acute and chronic inflammatory conditions. MIF's promoter region has functional single nucleotide polymorphisms that controls MIF expression and protein levels. Since increased plasma MIF levels are associated with cancer, studies have examined the association between Mif promoter polymorphisms and cancer. This study is a meta-analysis of the available studies on such an association. Results A total of 5 studies were included in this meta-analysis to include 1116 cases (cancer patients) and 1728 controls (no cancer). Carrying any C allele in the Mif -173 G/C promoter polymorphism resulted in a significantly greater risk for developing cancer [OR = 1.89 (1.15-3.11), p = 0.012)] when compared to the (G/G) genotype. Subgroup analysis revealed that this association was significant only for "solid" tumors (including gastric and prostate cancers) [OR = 2.67 (1.26-5.65), p = 0.010] but not for "non-solid" tumors (leukemia) [OR = 1.21 (0.95-1.55), p = 0.122]. Furthermore, when only prostate tumor studies were included in the analysis, the association became even stronger [OR = 3.72 (2.55-5.41), p < 0.0001]. Conclusions Meta-analysis suggests there is an association between any C allele in the Mif -173 G/C promoter polymorphism and an increased risk of cancer, particularly for solid tumors. The association appeared stronger for prostate cancer, specifically. Future studies that include different types of cancers are needed to support and extend these observations.
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Affiliation(s)
- Pedro L Vera
- The Bay Pines VA Healthcare System, Research & Development, Bay Pines, Florida, USA.
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Yuan Q, Wang M, Wang M, Zhang Z, Zhang W. Macrophage migration inhibitory factor gene -173G>C polymorphism and risk of bladder cancer in southeast China: a case-control analysis. Mol Biol Rep 2011; 39:3109-15. [PMID: 21750916 DOI: 10.1007/s11033-011-1075-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2011] [Accepted: 06/10/2011] [Indexed: 11/30/2022]
Abstract
Inflammatory factors may promote carcinogenesis. Macrophage migration inhibitory factor (MIF), which is derived from T-cell, known as a member of the transforming growth factor-β (TGF-β) superfamily, plays an important role in the pro- and anti-inflammatory response to infection and in the etiology of bladder cancer. We hypothesized that MIF-173 locus polymorphism might contribute to genetic susceptibility to bladder cancer. In a hospital-based case-control study of 325 patients with bladder cancer and 345 cancer-free controls frequency-matched by age, sex, smoking status, and alcohol use, we genotyped the MIF polymorphism and analyzed immunohistochemical stained operational bladder cancer tissue sections for MIF. We found that individuals with GC/CC genotype had a significantly decreased risk of bladder cancer (adjusted OR = 0.57, 95% CI, 0.41-0.79) than those with GG genotype. In the stratification analysis, we found that the decreased risk was more pronounced among older subjects (adjusted OR = 0.56, 95% CI, 0.39-0.81), men (0.47, 0.33-0.68), smokers (0.54, 0.35-0.85), and ever-drinkers (0.44, 0.27-0.71). The percentage of positive staining in the cytoplasm and nucleus in the normal and bladder cancer with CC/GC genotype tissues was higher than that of GG genotype bladder cancer tissue(39.1% vs. 75.0% in strong staining for GG and GC/CC genotypes, respectively, P = 0.028). In conclusion, MIF -173G>C polymorphism may play a role in the etiology of bladder cancer in southern Chinese population. Large studies are warranted to validate our findings.
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Affiliation(s)
- Qinbo Yuan
- Department of Urology, Huaiyin Hospital of Huaian City, Huaian, China
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Li C, Qiao B, Zhan Y, Qi W, Chen ZJ. First Evidence of Genetic Association Between the MIF-173G/C Single-Nucleotide Polymorphisms and Polycystic Ovary Syndrome. Am J Reprod Immunol 2011; 66:416-22. [DOI: 10.1111/j.1600-0897.2011.01011.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Hopcroft LEM, McBride MW, Harris KJ, Sampson AK, McClure JD, Graham D, Young G, Holyoake TL, Girolami MA, Dominiczak AF. Predictive response-relevant clustering of expression data provides insights into disease processes. Nucleic Acids Res 2010; 38:6831-40. [PMID: 20571087 PMCID: PMC2978340 DOI: 10.1093/nar/gkq550] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2010] [Revised: 05/25/2010] [Accepted: 05/29/2010] [Indexed: 11/23/2022] Open
Abstract
This article describes and illustrates a novel method of microarray data analysis that couples model-based clustering and binary classification to form clusters of `response-relevant' genes; that is, genes that are informative when discriminating between the different values of the response. Predictions are subsequently made using an appropriate statistical summary of each gene cluster, which we call the `meta-covariate' representation of the cluster, in a probit regression model. We first illustrate this method by analysing a leukaemia expression dataset, before focusing closely on the meta-covariate analysis of a renal gene expression dataset in a rat model of salt-sensitive hypertension. We explore the biological insights provided by our analysis of these data. In particular, we identify a highly influential cluster of 13 genes--including three transcription factors (Arntl, Bhlhe41 and Npas2)-that is implicated as being protective against hypertension in response to increased dietary sodium. Functional and canonical pathway analysis of this cluster using Ingenuity Pathway Analysis implicated transcriptional activation and circadian rhythm signalling, respectively. Although we illustrate our method using only expression data, the method is applicable to any high-dimensional datasets. Expression data are available at ArrayExpress (accession number E-MEXP-2514) and code is available at http://www.dcs.gla.ac.uk/inference/metacovariateanalysis/.
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Affiliation(s)
- Lisa E. M. Hopcroft
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Martin W. McBride
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Keith J. Harris
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Amanda K. Sampson
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - John D. McClure
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Delyth Graham
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Graham Young
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Tessa L. Holyoake
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Mark A. Girolami
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Anna F. Dominiczak
- Inference Group, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA and Paul O'Gorman Leukaemia Research Centre, Section of Experimental Haematology, Faculty of Medicine, University of Glasgow, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK
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Xue Y, Xu H, Rong L, Lu Q, Li J, Tong N, Wang M, Zhang Z, Fang Y. The MIF -173G/C polymorphism and risk of childhood acute lymphoblastic leukemia in a Chinese population. Leuk Res 2010; 34:1282-6. [PMID: 20447688 DOI: 10.1016/j.leukres.2010.03.030] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2009] [Revised: 02/26/2010] [Accepted: 03/17/2010] [Indexed: 01/06/2023]
Abstract
Migration inhibitory factor (MIF) has recently been defined as a novel pro-tumorigenic factor that promotes cell proliferation, migration, and invasion. The MIF -173C allele results in increased MIF promoter activity and is associated with a higher serum MIF level. We hypothesized that this polymorphism may contribute to childhood acute lymphoblastic leukemia (ALL) susceptibility. We genotyped the MIF -173G/C polymorphism (rs755622) in 346 ALL cases and 516 cancer-free controls in a Chinese population and found that the variant genotype GC and the combined genotypes GC/CC were associated with a significantly higher risk of childhood ALL [adjusted odds ratio (OR)=1.39, 95% confidence interval (CI)=1.01-1.93 for GC and adjusted OR=1.38, 95% CI=1.01-1.89 for GC/CC]. In addition, we found that the increased risk was more pronounced among high-risk ALL and B-phenotype ALL patients. Our results suggest that the MIF -173G/C polymorphism is involved in the etiology of childhood ALL and is a potential candidate gene for determining cancer susceptibility. Further validations in other populations are warranted.
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Affiliation(s)
- Yao Xue
- Department of Hematology and Oncology, The Affiliated Nanjing Children's Hospital of Nanjing Medical University, No. 72 Guanzhou Road, Nanjing 210008, China
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Ding GX, Zhou SQ, Xu Z, Feng NH, Song NH, Wang XJ, Yang J, Zhang W, Wu HF, Hua LX. The association between MIF-173 G>C polymorphism and prostate cancer in southern Chinese. J Surg Oncol 2009; 100:106-10. [PMID: 19475570 DOI: 10.1002/jso.21304] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND AND OBJECTIVES Accumulating epidemiological and molecular evidence suggests that inflammation is an important component in the etiology of PCa. Macrophage migration inhibitory factor (MIF) plays an important role in the pro- and anti-inflammatory response to infection. This study is aimed at investigating the potential association between MIF-173 G>C polymorphism, Gleason score, clinical stage, and prostate-specific antigen (PSA) value with respect to PCa incidence among the Han nationality in Southern China. METHODS Genotyping was performed by using tetraprimer polymerase chain reaction (PCR) on 259 PCa patients and 301 cancer-free controls. RESULTS We found that the MIF-173*C variant allele was significantly associated with an increased risk of PCa [adjusted odd ratio (OR) = 2.99, 95% confident interval (CI): 1.94-4.60] and higher Gleason scores from the PCa subjects (adjusted OR = 10.72, 95% CI: 5.35-21.49). In addition, we noted that the MIF -173*C variant allele was related to higher clinical stages and PSA values in PCa patients (adjusted OR = 15.68, 95% CI: 7.40-33.23; adjusted OR = 4.37, 95% CI: 2.41-7.92, respectively). CONCLUSION Our data suggest that MIF-173 polymorphisms may be associated with a higher incidence of prostate cancer compared to controls, and appears to be associated with higher Gleason scores, higher clinical stages, and PSA values in those with prostate cancer.
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Affiliation(s)
- G X Ding
- Department of Urology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Cunningham L, Aplenc R. Pharmacogenetics of acute lymphoblastic leukemia treatment response. Expert Opin Pharmacother 2007; 8:2519-31. [DOI: 10.1517/14656566.8.15.2519] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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