Literature DB >> 25001881

Genetic markers for prediction of treatment outcomes in ovarian cancer.

E Caiola1, M Broggini1, M Marabese1.   

Abstract

Drug resistance in epithelial ovarian cancer (EOC) limits the efficacy of therapies for this malignancy. This phenomenon might be partially explained by strong inter-individual genomic heterogeneity. Single nucleotide polymorphisms (SNPs) located in specific genes involved in platinum-based drugs inactivation and the metabolism and extrusion of taxanes could be relevant in terms of drugs response prediction. In this paper, we review candidates for genetic markers of treatment outcomes in ovarian cancer. Although an association between SNPs and response to chemotherapy has been detected in several studies, no clear conclusions can be drawn because of conflicting results. Genetic variants in determining response to chemotherapy and clinical outcome need to be clarified in EOC to allow stratification of patients, which would help optimize therapy.

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Year:  2014        PMID: 25001881     DOI: 10.1038/tpj.2014.32

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  7 in total

1.  Targeted Proteomic Analyses of Histone H4 Acetylation Changes Associated with Homologous-Recombination-Deficient High-Grade Serous Ovarian Carcinomas.

Authors:  Stefani N Thomas; Lijun Chen; Yang Liu; Naseruddin Höti; Hui Zhang
Journal:  J Proteome Res       Date:  2017-09-14       Impact factor: 4.466

2.  Improvement of a predictive model in ovarian cancer patients submitted to platinum-based chemotherapy: implications of a GST activity profile.

Authors:  Deolinda Pereira; Joana Assis; Mónica Gomes; Augusto Nogueira; Rui Medeiros
Journal:  Eur J Clin Pharmacol       Date:  2016-01-23       Impact factor: 2.953

Review 3.  Genetic markers predicting sulphonylurea treatment outcomes in type 2 diabetes patients: current evidence and challenges for clinical implementation.

Authors:  N K Loganadan; H Z Huri; S R Vethakkan; Z Hussein
Journal:  Pharmacogenomics J       Date:  2016-01-26       Impact factor: 3.550

4.  In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC.

Authors:  Aeman Zahra; Marcia Hall; Jayanta Chatterjee; Cristina Sisu; Emmanouil Karteris
Journal:  Int J Mol Sci       Date:  2022-02-02       Impact factor: 5.923

5.  Circulating Tumor Cell-Free DNA Genes as Prognostic Gene Signature for Platinum Resistant Ovarian Cancer Diagnosis.

Authors:  Camille C Gunderson; Rangasudhagar Radhakrishnan; Rohini Gomathinayagam; Sanam Husain; Sheeja Aravindan; Kathleen M Moore; Danny N Dhanasekaran; Muralidharan Jayaraman
Journal:  Biomark Insights       Date:  2022-03-28

6.  The 5'UTR variant of ERCC5 fails to influence outcomes in ovarian and lung cancer patients undergoing treatment with platinum-based drugs.

Authors:  Eliana Rulli; Federica Guffanti; Elisa Caiola; Monica Ganzinelli; Giovanna Damia; Marina C Garassino; Sheila Piva; Lorenzo Ceppi; Massimo Broggini; Mirko Marabese
Journal:  Sci Rep       Date:  2016-12-14       Impact factor: 4.379

7.  Casein Kinase 1 Delta Regulates Cell Proliferation, Response to Chemotherapy and Migration in Human Ovarian Cancer Cells.

Authors:  Elena Laura Mazzoldi; Anna Pastò; Elisa Ceppelli; Giorgia Pilotto; Vito Barbieri; Alberto Amadori; Simona Pavan
Journal:  Front Oncol       Date:  2019-11-12       Impact factor: 6.244

  7 in total

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