Title: Biomarkers associated with metastasis of lung cancer to brain predict patient survival

Authors: Sara Nasser, Aarati R. Ranade, Shravan Sridhar, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim

Addresses: Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA. ' Cancer and Cell Biology, Translational Genomics Research Institute, Phoenix, AZ 85004, USA. ' Cancer and Cell Biology, Translational Genomics Research Institute, Phoenix, AZ 85004, USA. ' Scottsdale Medical Imaging LTD, Scottsdale, AZ 85260, USA. ' Scottsdale Medical Imaging LTD, Scottsdale, AZ 85260, USA. ' Scottsdale Medical Imaging LTD, Scottsdale, AZ 85260, USA. ' Cancer and Cell Biology, Translational Genomics Research Institute, Phoenix, AZ 85004, USA; Virginia G. Piper Cancer Center at Scottsdale Healthcare, 10510 N 92nd St, Scottsdale, AZ 85258, USA. ' Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA; School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ 85281, USA

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.

Keywords: data mining; bioinformatics; microRNA biomarkers; lung cancer; in-silico conditioning; FDG-PET/CT scans; brain metastasis; tumour detection imaging; patient survival; survival prediction.

DOI: 10.1504/IJDMB.2011.040385

International Journal of Data Mining and Bioinformatics, 2011 Vol.5 No.3, pp.287 - 307

Published online: 25 May 2011 *

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