Biomarkers associated with metastasis of lung cancer to brain predict patient survival. (26th May 2011)

• Record Type: Journal Article
• Authors: Nasser, Sara; Ranade, Aarati R.; Sridhar, Shravan; Haney, Lisa; Korn, Ronald; Gotway, Michael; Weiss, Glen; Kim, Seungchan
• Is Part Of: International journal of data mining and bioinformatics. Volume 5:Number 3(2011)
• Page Start: 287
• Page End: 307
• Publication Date: 2011-05-26
• Subjects: data mining -- bioinformatics -- microRNA biomarkers -- lung cancer -- in-silico conditioning -- FDG-PET&amp -- #47 -- CT scans -- brain metastasis -- tumour detection imaging -- patient survival -- survival prediction; Data mining -- Periodicals; Bioinformatics -- Periodicals; 006.312
• Languages: English
• ISSNs: 1748-5673

Abstract

MicroRNAs influence cell physiology; alteration in miRNA regulation can be implicated in carcinogenesis and disease progression. Generally, one miRNA is predicted to regulate several hundred genes, and as a result, miRNAs could serve as a better classifier than gene expression. We combine validated miRNA expression values with imaging features to classify NSCLC brain mets from non-brain mets and identify possible biomarkers of brain mets. This research involves comprehensive miRNA expression profiling, evaluation of normalisation techniques and combination of miRNA with imaging features FDG-PET/CT and CT Scan. The biomarkers were validated on an independent data set to predict potential brain mets.