Literature DB >> 18337305

New approach reveals CD28 and IFNG gene interaction in the susceptibility to cervical cancer.

Valeska B Guzman1, Anatoly Yambartsev, Amador Goncalves-Primo, Ismael D C G Silva, Carmen R N Carvalho, Julisa C L Ribalta, Luiz Ricardo Goulart, Natalia Shulzhenko, Maria Gerbase-Delima, Andrey Morgun.   

Abstract

Cervical cancer is a complex disease with multiple environmental and genetic determinants. In this study, we sought an association between polymorphisms in immune response genes and cervical cancer using both single-locus and multi-locus analysis approaches. A total of 14 single nucleotide polymorphisms (SNPs) distributed in CD28, CTLA4, ICOS, PDCD1, FAS, TNFA, IL6, IFNG, TGFB1 and IL10 genes were determined in patients and healthy individuals from three independent case/control sets. The first two sets comprised White individuals (one group with 82 cases and 85 controls, the other with 83 cases and 85 controls) and the third was constituted by non-white individuals (64 cases and 75 controls). The multi-locus analysis revealed higher frequencies in cancer patients of three three-genotype combinations [CD28+17(TT)/IFNG+874(AA)/TNFA-308(GG), CD28+17(TT)/IFN+847(AA)/PDCD1+7785(CT), and CD28 +17(TT)/IFNG+874(AA)/ICOS+1564(TT)] (P < 0.01, Monte Carlo simulation). We hypothesized that this two-genotype [CD28(TT) and IFNG(AA)] combination could have a major contribution to the observed association. To address this question, we analyzed the frequency of the CD28(TT), IFNG(AA) genotype combination in the three groups combined, and observed its increase in patients (P = 0.0011 by Fisher's exact test). The contribution of a third polymorphism did not reach statistical significance (P = 0.1). Further analysis suggested that gene-gene interaction between CD28 and IFNG might contribute to susceptibility to cervical cancer. Our results showed an epistatic effect between CD28 and IFNG genes in susceptibility to cervical cancer, a finding that might be relevant for a better understanding of the disease pathogenesis. In addition, the novel analytical approach herein proposed might be useful for increasing the statistical power of future genome-wide multi-locus studies.

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Year:  2008        PMID: 18337305      PMCID: PMC2536747          DOI: 10.1093/hmg/ddn077

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  53 in total

1.  Characterization of CD28, CTLA4, and ICOS polymorphisms in three Brazilian ethnic groups.

Authors:  V B Guzman; A Morgun; N Shulzhenko; K L Mine; A Gonçalves-Primo; C C Musatti; M Gerbase-Delima
Journal:  Hum Immunol       Date:  2005-07       Impact factor: 2.850

2.  Association of TNF haplotypes with asthma, serum IgE levels, and correlation with serum TNF-alpha levels.

Authors:  Shilpy Sharma; Amit Sharma; Sarvesh Kumar; Surendra K Sharma; Balaram Ghosh
Journal:  Am J Respir Cell Mol Biol       Date:  2006-05-25       Impact factor: 6.914

3.  A fast method for high-quality genomic DNA extraction from whole human blood.

Authors:  S Gustincich; G Manfioletti; G Del Sal; C Schneider; P Carninci
Journal:  Biotechniques       Date:  1991-09       Impact factor: 1.993

4.  Decrease in interferon-gamma production by peripheral blood mononuclear cells in patients with uterine cervical cancer.

Authors:  H Mori; T Hanabayashi; Y Yamada; T Tamaya
Journal:  J Clin Immunol       Date:  1990-01       Impact factor: 8.317

5.  Cancer of the uterine cervix may be significantly associated with a gene polymorphism coding for increased IL-10 production.

Authors:  G A Stanczuk; E N Sibanda; C Perrey; M Chirara; V Pravica; I V Hutchinson; S A Tswana
Journal:  Int J Cancer       Date:  2001-12-15       Impact factor: 7.396

6.  Tumor necrosis factor A and MHC class I chain related gene A (MIC-A) polymorphisms in Swedish patients with cervical cancer.

Authors:  M Ghaderi; L Nikitina Zake; K Wallin; F Wiklund; G Hallmans; P Lenner; J Dillner; C B Sanjeevi
Journal:  Hum Immunol       Date:  2001-10       Impact factor: 2.850

7.  Interleukin-10 promoter polymorphisms and cervical cancer risk in Korean women.

Authors:  Ju Won Roh; Moon Hong Kim; Sang Soo Seo; Su Hyeong Kim; Jae Weon Kim; Noh Hyun Park; Yong Sang Song; Sang Yoon Park; Soon Beom Kang; Hyo Pyo Lee
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8.  HLA DR-DQ associations with cervical carcinoma show papillomavirus-type specificity.

Authors:  R J Apple; H A Erlich; W Klitz; M M Manos; T M Becker; C M Wheeler
Journal:  Nat Genet       Date:  1994-02       Impact factor: 38.330

9.  Identifying the combination of genetic factors that determine susceptibility to cervical cancer.

Authors:  Jorng-Tzong Horng; K C Hu; Li-Cheng Wu; Hsien-Da Huang; Feng-Mao Lin; S L Huang; H C Lai; T Y Chu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2004-03

10.  TNFalpha polymorphism frequencies in HPV-associated cervical dysplasia.

Authors:  A Kirkpatrick; J Bidwell; A J C van den Brule; C J L M Meijer; J Pawade; S Glew
Journal:  Gynecol Oncol       Date:  2004-02       Impact factor: 5.482

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  16 in total

1.  Association of CTLA4 gene polymorphism (rs5742909) with cervical cancer: a meta-analysis.

Authors:  Hong-Bing Xu; Huan Yang; Tingting Liu; Hong Chen
Journal:  Tumour Biol       Date:  2014-02

2.  IFN-γ +874 T/A polymorphisms contributes to cervical cancer susceptibility: a meta-analysis.

Authors:  Nannan Liu; Yan Song; Weifeng Shi
Journal:  Int J Clin Exp Med       Date:  2015-03-15

3.  Relationship between hWAPL polymorphisms and cervical cancer susceptibility.

Authors:  Li Li; Gen-Long Jiao; Shuang Qin; Qing Xiao
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

4.  Lack of association between interferon gamma +874 T/A polymorphism and cancer risk: an updated meta-analysis.

Authors:  Yu-Zheng Ge; Yi-Dan Wang; Zheng Xu; Lu-Wei Xu; Ya-Ping Wang; Mao-Hong Gu; Ai-Xing Ding; Xian-Bo Zhu; Ran Wu; Wen-Cheng Li; You-Di Xu; Rui-Peng Jia
Journal:  Tumour Biol       Date:  2014-03-28

5.  Combined analysis of pri-miR-34b/c rs4938723 and TP53 Arg72Pro with cervical cancer risk.

Authors:  Fang Yuan; Ruifen Sun; Peng Chen; Yundan Liang; Shanshan Ni; Yi Quan; Juan Huang; Lin Zhang; Linbo Gao
Journal:  Tumour Biol       Date:  2015-11-30

6.  Programmed death-1 (PD-1) polymorphism is associated with gastric cardia adenocarcinoma.

Authors:  Weifeng Tang; Yu Chen; Shuchen Chen; Bin Sun; Haiyong Gu; Mingqiang Kang
Journal:  Int J Clin Exp Med       Date:  2015-05-15

7.  Association and interaction analysis of variants in CHRNA5/CHRNA3/CHRNB4 gene cluster with nicotine dependence in African and European Americans.

Authors:  Ming D Li; Qing Xu; Xiang-Yang Lou; Thomas J Payne; Tianhua Niu; Jennie Z Ma
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-04-05       Impact factor: 3.568

8.  Lack of association between cyclin D1 A870G (rs9344) polymorphism and esophageal squamous cell carcinoma risk: case-control study and meta-analysis.

Authors:  Weifeng Tang; Ping Yu; Yafeng Wang; Mingqiang Kang; Bin Sun; Jun Yin; Haiyong Gu
Journal:  Int J Clin Exp Med       Date:  2015-08-15

9.  Dysregulated expression of both the costimulatory CD28 and inhibitory CTLA-4 molecules in PB T cells of advanced cervical cancer patients suggests systemic immunosuppression related to disease progression.

Authors:  Agata Kosmaczewska; Dorota Bocko; Lidia Ciszak; Iwona Wlodarska-Polinska; Jan Kornafel; Aleksandra Szteblich; Anna Masternak; Irena Frydecka
Journal:  Pathol Oncol Res       Date:  2011-11-19       Impact factor: 3.201

10.  Investigation of CD28 gene polymorphisms in patients with sporadic breast cancer in a Chinese Han population in Northeast China.

Authors:  Shuang Chen; Qing Zhang; Liming Shen; Yanhong Liu; Fengyan Xu; Dalin Li; Zhenkun Fu; Weiguang Yuan; Da Pang; Dianjun Li
Journal:  PLoS One       Date:  2012-10-25       Impact factor: 3.240

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