PLoS ONE (Jan 2012)

Proteins with altered levels in plasma from glioblastoma patients as revealed by iTRAQ-based quantitative proteomic analysis.

  • Poonam Gautam,
  • Sudha C Nair,
  • Manoj Kumar Gupta,
  • Rakesh Sharma,
  • Ravindra Varma Polisetty,
  • Megha S Uppin,
  • Challa Sundaram,
  • Aneel K Puligopu,
  • Praveen Ankathi,
  • Aniruddh K Purohit,
  • Giriraj R Chandak,
  • H C Harsha,
  • Ravi Sirdeshmukh

DOI
https://doi.org/10.1371/journal.pone.0046153
Journal volume & issue
Vol. 7, no. 9
p. e46153

Abstract

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Glioblastomas (GBMs) are the most common and lethal primary tumors of the central nervous system with high level of recurrence despite aggressive therapy. Tumor-associated proteins/peptides may appear in the plasma of these patients as a result of disruption of the blood-brain barrier in them, raising the scope for development of plasma-based tests for diagnosis and monitoring the disease. With this objective, we analyzed the levels of proteins present in the plasma from GBM patients using an iTRAQ based LC-MS/MS approach. Analysis with pooled plasma specimens from the patient and healthy control samples revealed high confidence identification of 296 proteins, of which 61 exhibited a fold-change ≥1.5 in the patient group. Forty-eight of them contained signal sequence. A majority have been reported in the differentially expressed transcript or protein profile of GBM tissues; 6 have been previously studied as plasma biomarkers for GBM and 16 for other types of cancers. Altered levels of three representative proteins-ferritin light chain (FTL), S100A9, and carnosinase 1 (CNDP1)-were verified by ELISA in a test set of ten individual plasma specimens. FTL is an inflammation marker also implicated in cancer, S100A9 is an important member of the Ca(2+) signaling cascade reported to be altered in GBM tissue, and CNDP1 has been reported for its role in the regulation of the levels of carnosine, implicated as a potential drug for GBM. These and other proteins in the dataset may form useful starting points for further clinical investigations for the development of plasma-based biomarker panels for GBM.