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A Cell-Surface Membrane Protein Signature for Glioblastoma.
Ghosh, Dhimankrishna; Funk, Cory C; Caballero, Juan; Shah, Nameeta; Rouleau, Katherine; Earls, John C; Soroceanu, Liliana; Foltz, Greg; Cobbs, Charles S; Price, Nathan D; Hood, Leroy.
Affiliation
  • Ghosh D; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Funk CC; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Caballero J; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Shah N; The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA 98122, USA.
  • Rouleau K; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Earls JC; Institute for Systems Biology, Seattle, WA 98109, USA; Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Soroceanu L; California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA.
  • Foltz G; The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA 98122, USA.
  • Cobbs CS; The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA 98122, USA.
  • Price ND; Institute for Systems Biology, Seattle, WA 98109, USA; Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Hood L; Institute for Systems Biology, Seattle, WA 98109, USA. Electronic address: lhood@systemsbiology.org.
Cell Syst ; 4(5): 516-529.e7, 2017 05 24.
Article in En | MEDLINE | ID: mdl-28365151
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 ß 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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glioblastoma / Gene Expression Profiling / Membrane Proteins Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cell Syst Year: 2017 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glioblastoma / Gene Expression Profiling / Membrane Proteins Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cell Syst Year: 2017 Document type: Article Affiliation country: Estados Unidos