Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone

  • Authors: Loukas Astrakas, Konstantinos D. Blekas, Caterina Constantinou, Ovidiu C. Andronesi, Michael N. Mindrinos, Aristidis C. Likas, Laurence G. Rahme, Peter M. Black, Karen J. Marcus, A. Aria Tzika
  • View Affiliations

  • Published online on: Thursday, January 27, 2011
  • Pages: 1113-1127
  • DOI: 10.3892/ijo.2011.928

Abstract

Recent advents in magnetic resonance spectroscopy (MRS) techniques permit subsequent microarray analysis over the entire human transcriptome in the same tissue biopsies. However, extracting information from such immense quantities of data is limited by difficulties in recognizing and evaluating the relevant patterns of apparent gene expression in the context of the existing knowledge of phenotypes by histopathology. Using a quantitative approach derived from a knowledge base of pathology findings, we present a novel methodology used to process genome-wide transcription and MRS data. This methodology was tested to examine metabolite and genome-wide profiles in MRS and RNA in 55 biopsies from human subjects with brain tumors with ~100% certainty. With the guidance of histopathology and clinical outcome, 15 genes with the assistance of 15 MRS metabolites were able to be distinguished by tumor categories and the prediction of survival was better than when either method was used alone. This new method, combining MRS, genomics, statistics and biological content, improves the typing and understanding of the complexity of human brain tumors, and assists in the search for novel tumor biomarkers. It is an important step for novel drug development, it generates testable hypotheses regarding neoplasia and promises to guide human brain tumor therapy provided improved in vivo methods for monitoring response to therapy are developed.
Journal Cover

April 2011
Volume 38 Issue 4

Print ISSN: 1019-6439
Online ISSN:1791-2423

2013 Impact Factor: 2.773
Ranked #30/202 Oncology
(total number of cites)

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
APA
Astrakas, L., Astrakas, L., Blekas, K., Blekas, K., Constantinou, C., Constantinou, C., Andronesi, O., Andronesi, O., Mindrinos, M., Mindrinos, M., Likas, A., Likas, A., Rahme, L., Rahme, L., Black, P., Black, P., Marcus, K., Marcus, K., Tzika, A., & Tzika, A. (2011). Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone. International Journal of Oncology, 38(4), 1113-1127.
MLA
Astrakas, Astrakas, Blekas, Blekas, Constantinou, Constantinou, Andronesi, Andronesi, Mindrinos, Mindrinos, Likas, Likas, Rahme, Rahme, Black, Black, Marcus, Marcus, Tzika, and A. Tzika. "Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone." International Journal of Oncology International Journal of Oncology 38.4 (2011): 1113-1127.
Chicago
Astrakas, Astrakas, Blekas, Blekas, Constantinou, Constantinou, Andronesi, Andronesi, Mindrinos, Mindrinos, Likas, Likas, Rahme, Rahme, Black, Black, Marcus, Marcus, Tzika, and A. Tzika. "Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone." International Journal of Oncology International Journal of Oncology 38 no. 4 (2011): 1113-1127.