OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes
AbstractBackground: The identification of biomarkers for the estimation of cancer patients’ survival is a crucial problem in modern oncology. Recently, the Affymetrix DMET (Drug Metabolizing Enzymes and Transporters) microarray platform has offered the possibility to determine the ADME (absorption, distribution, metabolism, and excretion) gene variants of a patient and to correlate them with drug-dependent adverse events. Therefore, the analysis of survival distribution of patients starting from their profile obtained using DMET data may reveal important information to clinicians about possible correlations among drug response, survival rate, and gene variants. Methods: In order to provide support to this analysis we developed OSAnalyzer, a software tool able to compute the overall survival (OS) and progression-free survival (PFS) of cancer patients and evaluate their association with ADME gene variants. Results: The tool is able to perform an automatic analysis of DMET data enriched with survival events. Moreover, results are ranked according to statistical significance obtained by comparing the area under the curves that is computed by using the log-rank test, allowing a quick and easy analysis and visualization of high-throughput data. Conclusions: Finally, we present a case study to highlight the usefulness of OSAnalyzer when analyzing a large cohort of patients. View Full-Text
Share & Cite This Article
Agapito, G.; Botta, C.; Guzzi, P.H.; Arbitrio, M.; Di Martino, M.T.; Tassone, P.; Tagliaferri, P.; Cannataro, M. OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes. Microarrays 2016, 5, 24.
Agapito G, Botta C, Guzzi PH, Arbitrio M, Di Martino MT, Tassone P, Tagliaferri P, Cannataro M. OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes. Microarrays. 2016; 5(4):24.Chicago/Turabian Style
Agapito, Giuseppe; Botta, Cirino; Guzzi, Pietro H.; Arbitrio, Mariamena; Di Martino, Maria T.; Tassone, Pierfrancesco; Tagliaferri, Pierosandro; Cannataro, Mario. 2016. "OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes." Microarrays 5, no. 4: 24.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.