Yan Zhang1, Lian Xu1, Bin Zhou2, Qin Li2,3, Di You2,4, Chenlu Liu2,3, Huizi Song2,5, Yanyun Wang2, Yaping Song2, Min Su2, Xingming Huang1, Mingwei Yuan2,4, Zhu Lan2,4, Wei Wang1. 1. Department of Pathology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education Chengdu, Sichuan, P. R. China. 2. Laboratory of Molecular Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University Chengdu, Sichuan, P. R. China. 3. Department of Immunology, West China School of Preclinical and Forensic Medicine, Sichuan University Chengdu, Sichuan, P. R. China. 4. Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University Chengdu, Sichuan, P. R. China. 5. Department of Cardiology, West China Second University Hospital, Sichuan University Chengdu, Sichuan, P. R. China.
Abstract
BACKGROUND: Epithelial ovarian cancer (EOC) is the most common cause of death among gynecological cancers. FOXP3 gene is the most dependable marker for regulatory T cells (Treg) which play a major role in immune tolerance. The aim of this study was to explore whether the FOXP3 gene polymorphisms (rs3761548 A/C and rs5902434del/ATT) were associated susceptibility and prognosis for EOC. METHODS: A total of 455 ovarian cancer patients and 337 healthy female controls were enrolled. Genotyping of FOXP3 polymorphisms rs3761548 A/C was determined by polymerase chain reaction-restrictive fragment length polymorphism (PCR-RFLP), while rs5902434 del/ATT was directly visualized in a 6% polyacrylamide gel electrophoresis stained after PCR. Kaplan-Meier method and Cox regression analysis were used to find an association between the FOXP3 gene and survival of EOC patients. RESULTS: Data showed that AC genotype of FOXP3 rs3761548 was associated with the high susceptibility of EOC (overdominant model: OR=1.42, 95% CI=1.07-1.89, P=0.015), while AA genotype showed lower risk for ovarian cancer compared with CC/AC genotypes (OR=0.45, 95% CI=0.23-0.90, P=0.022). In contrast, there were no significant differences for rs5902434 polymorphism of FOXP3 in ovarian cancer patients and controls. However, del/ATT genotype might be an independent risk factor for EOC prognosis in the dominant (HR=2.60, 95% CI=1.26-5.38, P=0.010) and overdominant (HR=2.46, 95% CI=1.31-4.61, P=0.005) models. CONCLUSIONS: Our findings suggest that rs3761548 could contribute to EOC risk in a Chinese Han population. Rs5902434 polymorphisms might be a marker to identify high risk patients. IJCEP
BACKGROUND: Epithelial ovarian cancer (EOC) is the most common cause of death among gynecological cancers. FOXP3 gene is the most dependable marker for regulatory T cells (Treg) which play a major role in immune tolerance. The aim of this study was to explore whether the FOXP3 gene polymorphisms (rs3761548 A/C and rs5902434del/ATT) were associated susceptibility and prognosis for EOC. METHODS: A total of 455 ovarian cancerpatients and 337 healthy female controls were enrolled. Genotyping of FOXP3 polymorphisms rs3761548 A/C was determined by polymerase chain reaction-restrictive fragment length polymorphism (PCR-RFLP), while rs5902434 del/ATT was directly visualized in a 6% polyacrylamide gel electrophoresis stained after PCR. Kaplan-Meier method and Cox regression analysis were used to find an association between the FOXP3 gene and survival of EOC patients. RESULTS: Data showed that AC genotype of FOXP3 rs3761548 was associated with the high susceptibility of EOC (overdominant model: OR=1.42, 95% CI=1.07-1.89, P=0.015), while AA genotype showed lower risk for ovarian cancer compared with CC/AC genotypes (OR=0.45, 95% CI=0.23-0.90, P=0.022). In contrast, there were no significant differences for rs5902434 polymorphism of FOXP3 in ovarian cancerpatients and controls. However, del/ATT genotype might be an independent risk factor for EOC prognosis in the dominant (HR=2.60, 95% CI=1.26-5.38, P=0.010) and overdominant (HR=2.46, 95% CI=1.31-4.61, P=0.005) models. CONCLUSIONS: Our findings suggest that rs3761548 could contribute to EOC risk in a Chinese Han population. Rs5902434 polymorphisms might be a marker to identify high risk patients. IJCEP
Authors: Lei Zheng; XiaoBei Wang; Lijuan Xu; Ning Wang; Pengcheng Cai; Tao Liang; LiHua Hu Journal: Int Immunopharmacol Date: 2015-02-21 Impact factor: 4.932
Authors: Sebastian Hinz; Laia Pagerols-Raluy; Hans-Heinrich Oberg; Ole Ammerpohl; Sandra Grüssel; Bence Sipos; Robert Grützmann; Christian Pilarsky; Hendrik Ungefroren; Hans-Detlev Saeger; Günter Klöppel; Dieter Kabelitz; Holger Kalthoff Journal: Cancer Res Date: 2007-09-01 Impact factor: 12.701
Authors: Lin Zhang; Jose R Conejo-Garcia; Dionyssios Katsaros; Phyllis A Gimotty; Marco Massobrio; Giorgia Regnani; Antonis Makrigiannakis; Heidi Gray; Katia Schlienger; Michael N Liebman; Stephen C Rubin; George Coukos Journal: N Engl J Med Date: 2003-01-16 Impact factor: 91.245