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A Cell-Surface Membrane Protein Signature for Glioblastoma. | LitMetric

AI Article Synopsis

  • A novel molecular signature for glioblastoma (GBM), called GBMSig, was created using data from patient tumors, identifying 33 key cell-surface proteins.
  • This signature can effectively distinguish GBM patients from healthy individuals with a strong correlation coefficient of 0.87.
  • Key proteins in GBMSig are linked to important signaling pathways and their inhibition reduced GBM invasion, suggesting they play significant roles in the disease and could serve as potential clinical biomarkers.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512565PMC
http://dx.doi.org/10.1016/j.cels.2017.03.004DOI Listing

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