ArticleThe pharmacogenomics journal2013
DNA-damage response gene polymorphisms and therapeutic outcomes in ovarian cancer.
Article in The pharmacogenomics journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Review
- DNA damage repair in ovarian cancer: unlocking the heterogeneity.Journal of ovarian research · 2018Review
- Chinese C allele carriers of theOncotarget · 2018Article
- The 5'UTR variant of ERCC5 fails to influence outcomes in ovarian and lung cancer patients undergoing treatment with platinum-based drugs.Scientific reports · 2016Article
- The impact of DNA damage response gene polymorphisms on therapeutic outcomes in late stage ovarian cancer.Scientific reports · 2016Article
- Genetic markers for prediction of treatment outcomes in ovarian cancer.The pharmacogenomics journal · 2014Review
- Genetic polymorphisms in XPG could predict clinical outcome of platinum-based chemotherapy for advanced non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Article
- Expression of XPG protein in human normal and tumor tissues.International journal of clinical and experimental pathology · 2013Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
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Abstract
Epithelial ovarian cancer has a poor prognosis owing to late diagnosis and frequent relapse after first-line therapy. Analysis of individual genetic variability could aid in the identification of markers, which could help in stratifying patients with the aim of optimizing individual therapy. In this study we assessed polymorphisms in three genes important in drugs' response in 97 early and 235 late-stage ovarian cancer patients. The Asp1104His polymorphism in xpg, a gene important for removal of platinum adducts, was associated with progression-free survival in early- and late-stage ovarian cancer. Our data indicate that a simple diagnostic analysis such as xpg genotyping can help in predicting response, and extension to other possibly relevant genotypes could be useful in selecting patients with epithelial ovarian cancer for optimal therapy and hence increase the chance of response.
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Registered trials
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