Back to search

Article

A functional artificial neural network for noninvasive presurgical evaluation of glioblastoma multiforme prognosis and radiosensitivity profiling

2020-12-16

Abstract excerpt

<h4>Background and Purpose</h4> Genetic profiling for glioblastoma multiforme (GBM) patients with intracranial biopsy carries a significant risk of permanent morbidity. We previously demonstrated that the CUL2 gene, encoding the scaffold cullin2 protein in the cullin2-RING E3 ligase (CRL2), can predict GBM radiosensitivity and prognosis mainly due to the functional involvement of CRL2 in mediating hypoxia-induci...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c3853466-ce05-5aaa-b7d2-3f16ccbfb108
DOI
10.1101/2020.12.15.422749
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A functional artificial neural network for noninvasive presurgical evaluation of glioblastoma multiforme prognosis and radiosensitivity profilingDOI 10.1101/2020.12.15.422749
Select a neighboring publication to make it the new centre.