Literature DB >> 18384825

Progesterone receptor (PROGINS) polymorphism and the risk of ovarian cancer.

Daniela B Leite1, Michele G Junqueira, Cristina V de Carvalho, Ana M Massad-Costa, Wagner J Gonçalves, Sergio M Nicolau, Luiz A F Lopes, Edmundo C Baracat, Ismael D C G da Silva.   

Abstract

The present case-control study evaluates the role of the progesterone receptor (PR) polymorphism known as PROGINS as a risk factor for ovarian cancer development and investigates the association between these genetic variants and clinical/pathologic variables of ovarian cancer. PROGINS polymorphism was examined, by polymerase chain reaction, in a total of 80 patients with ovarian cancer and 282 control subjects. The frequencies of PROGINS polymorphism T1/T1, T1/T2, and T2/T2 were 71.3, 15.0 and 13.8% in ovarian cancer patients and 78.37, 21.63 and 0% in controls, respectively. The chi(2)-test showed a higher incidence of the T2/T2 genotype (P=0.001) in the ovarian cancer group. In addition, women carrying a mutated allele (T2) showed approximately 2.2 times higher risk of ovarian cancer development as compared to women who have a variant allele (odds ratio (OR)=2.2; 95% CI=1.80-3.54). Regarding the clinical and pathologic findings observed within the cancer group, there was a significant correlation between PROGINS polymorphism and patients with a familial history (chi(2)=6.776; P=0.009; Fischer exact test, P=0.01). In this regard, patients with familial antecedents have a 4.7 times higher likelihood to have at least one risk allele (T2) as compared with patients without familial antecedents (OR=4.69; 95% CI=1.38-15.87). No correlations were observed among the other variables. These data suggest that the PROGINS polymorphism T2/T2 genotype might be associated with an increased risk of ovarian cancer.

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Year:  2008        PMID: 18384825     DOI: 10.1016/j.steroids.2008.02.005

Source DB:  PubMed          Journal:  Steroids        ISSN: 0039-128X            Impact factor:   2.668


  7 in total

1.  Analyze association of the progesterone receptor gene polymorphism PROGINS with ovarian cancer risk.

Authors:  Cunzhong Yuan; Cunfang Wang; Xiaoyan Liu; Beihua Kong
Journal:  Mol Biol Rep       Date:  2013-09-21       Impact factor: 2.316

2.  Associations of progesterone receptor polymorphisms with age at menarche and menstrual cycle length.

Authors:  K C Taylor; C M Small; M P Epstein; S L Sherman; W Tang; M M Wilson; M Bouzyk; M Marcus
Journal:  Horm Res Paediatr       Date:  2010-09-02       Impact factor: 2.852

3.  Genetic variation in the progesterone receptor gene and risk of endometrial cancer: a haplotype-based approach.

Authors:  Eunjung Lee; Chris Hsu; Christopher A Haiman; Pedram Razavi; Pamela L Horn-Ross; David Van Den Berg; Leslie Bernstein; Loic Le Marchand; Brian E Henderson; V Wendy Setiawan; Giske Ursin
Journal:  Carcinogenesis       Date:  2010-06-13       Impact factor: 4.944

4.  Association of the PROGINS PgR polymorphism with susceptibility to female reproductive cancer: A meta-analysis of 30 studies.

Authors:  Chen Zhou; Xiangman Zou; Xiaosha Wen; Zifen Guo
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

5.  Disrupted cell cycle control in cultured endometrial cells from patients with endometriosis harboring the progesterone receptor polymorphism PROGINS.

Authors:  Paulo D'Amora; Thiago Trovati Maciel; Rodrigo Tambellini; Marcelo A Mori; João Bosco Pesquero; Helio Sato; Manoel João Batista Castello Girão; Ismael Dale Cotrim Guerreiro da Silva; Eduardo Schor
Journal:  Am J Pathol       Date:  2009-06-04       Impact factor: 4.307

Review 6.  Role of genetic polymorphisms and ovarian cancer susceptibility.

Authors:  Peter A Fasching; Simon Gayther; Leigh Pearce; Joellen M Schildkraut; Ellen Goode; Falk Thiel; Georgia Chenevix-Trench; Jenny Chang-Claude; Shan Wang-Gohrke; Susan Ramus; Paul Pharoah; Andrew Berchuck
Journal:  Mol Oncol       Date:  2009-02-04       Impact factor: 6.603

7.  Progesterone receptor PROGINS and +331G/A polymorphisms confer susceptibility to ovarian cancer: a meta-analysis based on 17 studies.

Authors:  Ting Liu; Lilan Chen; Xiangjun Sun; You Wang; Shu Li; Xia Yin; Xinran Wang; Chenhuan Ding; He Li; Wen Di
Journal:  Tumour Biol       Date:  2013-11-07
  7 in total

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