Hawkins, Shannon M. ; Gautam, Poonam ; Nair, Sudha C. ; Gupta, Manoj Kumar ; Sharma, Rakesh ; Polisetty, Ravindra Varma ; Uppin, Megha S. ; Sundaram, Challa ; Puligopu, Aneel K. ; Ankathi, Praveen ; Purohit, Aniruddh K. ; Chandak, Giriraj R. ; Harsha, H. C. ; Sirdeshmukh, Ravi (2012) Proteins with Altered Levels in Plasma from Glioblastoma Patients as Revealed by iTRAQ-Based Quantitative Proteomic Analysis PLoS ONE, 7 (9). e46153. ISSN 1932-6203
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Official URL: http://doi.org/10.1371/journal.pone.0046153
Related URL: http://dx.doi.org/10.1371/journal.pone.0046153
Abstract
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 Ca2+ 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.
Item Type: | Article |
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Source: | Copyright of this article belongs to PLOS. |
ID Code: | 116942 |
Deposited On: | 15 Apr 2021 05:43 |
Last Modified: | 07 Feb 2023 03:54 |
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