ArticleMedical oncology (Northwood, London, England)2016
Association between polymorphisms in xenobiotic detoxification-related genes with prognosis of epithelial ovarian cancer.
Article in Medical oncology (Northwood, London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Polymorphisms and Pharmacogenomics ofGenes · 2024Review
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate whether GSTM1 and GSTT1 (presents or nulls), GSTP1 c.313A>G and NQO2 c.-102A>C polymorphisms, involved in xenobiotic detoxification pathways, alter outcomes of epithelial ovarian cancer (EOC) patients. DNA from 84 EOC patients diagnosed at the University of Campinas Academic Hospital from January 1995 and July 2007 was analyzed by polymerase chain reaction and restriction fragment length polymorphism assays. The prognostic impact of genotypes of polymorphisms on progression-free survival and overall survival (OS) of EOC patients was examined using the Kaplan-Meier probability estimates and univariate and multivariate Cox proportional hazard ratio (HR) regression analyses. The significant results of Cox analyses were validated using a bootstrap resampling study (1000 replications). At 60 months of follow-up, lower OS was seen in patients with GSTT1 null genotype (50.0 vs. 76.7 %, P = 0.02) compared with the other genotype (Kaplan-Meier estimate). This outcome remained the same in univariate Cox analysis (HR 2.22, P = 0.02). After multivariate Cox analysis, patients with GSTT1 null (HR 2.11, P = 0.04, P bootstrap = 0.04) and NQO2 AA (HR 2.13, P = 0.03, P bootstrap = 0.04) genotypes were under greater risks of progressing to death when compared with those with others genotypes. Our data suggest, for the first time, that inherited abnormalities in xenobiotic detoxification pathway related to GSTT1 and NQO2 c.-102A>C polymorphisms act as independent prognostic factors for OS of EOC patients.
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