| Literature DB >> 28365151 |
Dhimankrishna Ghosh1, Cory C Funk1, Juan Caballero1, Nameeta Shah2, Katherine Rouleau1, John C Earls3, Liliana Soroceanu4, Greg Foltz2, Charles S Cobbs2, Nathan D Price3, Leroy Hood5.
Abstract
We present a systems strategy that facilitated the development of a molecular signature for glioblastoma (GBM), composed of 33 cell-surface transmembrane proteins. This molecular signature, GBMSig, was developed through the integration of cell-surface proteomics and transcriptomics from patient tumors in the REMBRANDT (n = 228) and TCGA datasets (n = 547) and can separate GBM patients from control individuals with a Matthew's correlation coefficient value of 0.87 in a lock-down test. Functionally, 17/33 GBMSig proteins are associated with transforming growth factor β signaling pathways, including CD47, SLC16A1, HMOX1, and MRC2. Knockdown of these genes impaired GBM invasion, reflecting their role in disease-perturbed changes in GBM. ELISA assays for a subset of GBMSig (CD44, VCAM1, HMOX1, and BIGH3) on 84 plasma specimens from multiple clinical sites revealed a high degree of separation of GBM patients from healthy control individuals (area under the curve is 0.98 in receiver operating characteristic). In addition, a classifier based on these four proteins differentiated the blood of pre- and post-tumor resections, demonstrating potential clinical value as biomarkers.Entities:
Keywords: GBM; GBMSig; cell-surface proteins; invasion
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Year: 2017 PMID: 28365151 PMCID: PMC5512565 DOI: 10.1016/j.cels.2017.03.004
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304