Membrane proteomic profiling to identify candidate therapy targets for glioblastoma infiltration

Clicks: 1
ID: 320707
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #94 of 104 articles by views in Neuro-Oncology Advances

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Lay Summary Glioblastoma (GBM) is a fast-growing brain tumor that spreads into nearby brain tissue and often returns after surgery. The authors of this study wanted to find new treatment targets by studying proteins on the surface of tumor cells taken directly from patients, especially from the outer edge of the tumor that is often left behind after surgery. To do this, they examined the proteins in three GBM cell samples grown in the lab from patient tumors, used computer programs to test how well approved drugs could attach to these proteins, and then tested the drugs on the cells. Their results showed that several surface proteins were higher in GBM cells than in healthy brain cells, and two approved drugs, nilotinib and darifenacin, were able to attach to selected proteins and reduce the growth of GBM cells in lab experiments.
Reference Key
openalex_W7168052827 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Harry Porter, Kayley Mulhall, Maria Shah, Jeffy Joseph Vinohar, Konstantinos-Panagiotis Karadimas, Shaylen Mistry, Simon Deacon, Farhana Haque, Emyr Bakker, David J. Boocock, Clare Coveney, Robert Layfield, Ruman Rahman, Phoebe McCrorie
Journal Neuro-Oncology Advances
Year 2026
DOI
10.1093/noajnl/vdag181
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.