PMC:5197943 / 37305-38308 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/5197943","sourcedb":"PMC","sourceid":"5197943","source_url":"https://www.ncbi.nlm.nih.gov/pmc/5197943","text":"4. Discussion\nIn this paper, we presented OSAnalyzer, a software tool to analyze correlations between patients’ outcome data and ADME gene variants as reported by the DMET microarray platform. Specifically, we developed a software able to compare simultaneously survival data according to each polymorphic variant of any of the 1936 SNPs evaluated by the DMET chip and rank the survival results according to the magnitude of the log-rank test significance. The latter is of particular interest due to the fact that this allows clinicians to focus their attention on the most important SNPs only. Furthermore, one of the main advantages of this software is that it is easy to include in prospective trial as a companion tool for the DMET platform, with the aim to associate clinical annotation with ADME gene SNPs. In the era of precision medicine this tool may represent a valuable resource to identify patients more likely to gain the best advantage from specific treatments in term of both PFS and OS.","divisions":[{"label":"Title","span":{"begin":0,"end":13}}],"tracks":[]}