Gene polymorphisms related to angiogenesis, inflammation and thrombosis that influence risk for oral cancer

被引:54
作者
Vairaktaris, E. [1 ]
Serefoglou, Z. [1 ]
Avgoustidis, D. [1 ]
Yapijakis, C. [1 ,2 ]
Critselis, E. [1 ]
Vylliotis, A. [1 ]
Spyridonidou, S. [1 ]
Derka, S. [1 ]
Vdssfou, S. [1 ]
Nkenke, E. [3 ]
Patsouris, E. [4 ]
机构
[1] Univ Athens, Dept Oral & Maxillofacial Surg, Sch Med, Attikon Hosp, GR-12464 Athens, Greece
[2] Univ Athens, Dept Neurol, Sch Med, GR-11522 Athens, Greece
[3] Univ Erlangen Nurnberg, Dept Maxillofacial Surg, Klin & Poliklin Mund Kiefer Gesischtschirurg, D-91054 Erlangen, Nurnberg, Germany
[4] Univ Athens, Dept Pathol, Sch Med, GR-11521 Athens, Greece
关键词
Oral cancer; Polymorphism; Matrix metalloproteinase; Plasminogen activator inhibitor; Angiotensin converting enzyme; Regression analysis; SQUAMOUS-CELL CARCINOMA; SINGLE NUCLEOTIDE POLYMORPHISM; ENDOTHELIAL GROWTH-FACTOR; COLORECTAL-CANCER; ASSOCIATION; EXPRESSION; INHIBITOR; SUSCEPTIBILITY; EPIDEMIOLOGY; INCREASES;
D O I
10.1016/j.oraloncology.2008.05.003
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Genetic association studies have implicated functional DNA polymorphisms in genes encoding factors related to angiogenesis, inflammation and thrombosis with increased risk for oral squamous cell carcinoma (OSCC). This study examines possible interactions between nine such genotype polymorphisms and their combinatory effect in assessing the OSCC risk in a European population. OSCC cases (N = 162) and healthy controls (N = 168) of comparable age, gender, and ethnicity (Greeks and Germans) were studied. Multivariate logistic regression models were constructed in order to assess the contribution of homozygous or heterozygous variant genotypes of polymorphisms MMP-1 (-1607 1G/2G), MMP-3 (-1171 5A/6A), MMP-9 (-1562C/T), TIMP-2 (-418C/G), VEGF (+936C/T), GPI-alpha (+807C/T), PAI-1 (4G/5G), ACE (intron 16D/I) and TAFI (+325C/T) upon overall, early and advanced stages of OSCC. Four out of nine polymorphisms affecting PAI-1, MMP-9, TIMP-2 and ACE expression contributed significantly in OSCC prediction in the various logistic regression models. Based on these findings and previous reports, possible interactions of the implicated factors leading to OSCC development, as well as an algorithm of risk estimation are discussed. (C) 2008 Published by Elsevier Ltd.
引用
收藏
页码:247 / 253
页数:7
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