Back to search

Article

Leveraging a diverse cell-death patterns-based signature to predict the prognosis of low- grade gliomas

2023-05-09

Abstract excerpt

<h4>Background: </h4> Low-grade glioma (LGG) is heterogeneous at biological and transcriptomic levels, and it is still controversial for the definition and typing of LGG. Therefore, there is an urgent need for specific and practical molecular signatures for accurate diagnosis, individualized therapy, and prognostic evaluation of LGG. Cell death is essential for maintaining homeostasis, developing and preventing hy...

Topics

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

Identifiers and source

Literature Corpus work
bbccc378-edaa-5650-9e9f-dbbc9aa1ebfa
DOI
10.21203/rs.3.rs-2892623/v1
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.
Leveraging a diverse cell-death patterns-based signature to predict the prognosis of low- grade gliomasDOI 10.21203/rs.3.rs-2892623/v1
Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade GliomaSemantic proximity
Diverse cell death signature based subtypes predict the prognosis and immune characteristics within gliomaSemantic proximity
Cuprotosis clusters predict prognosis and immunotherapy response in low-grade gliomaSemantic proximity
Diverse cell death signature based subtypes predict the prognosis and immune characteristics within gliomaSemantic proximity
Immunogenic cell death-related risk signature predicts prognosis and characterizes the tumour microenvironment in lower-grade gliomaSemantic proximity
Prognostic value of anoikis-related genes revealed using multi-omics analysis and machine learning based on lower-grade glioma features and tumour immune microenvironmentSemantic proximity
Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patientsSemantic proximity
The Effect of Necroptosis-related Gene Signature on the Progression, Prognosis, and Immune Microenvironment of Low-grade GliomaSemantic proximity
Cuprotosis Clusters Predicts Prognosis and Immunotherapy Response in Low-grade gliomaSemantic proximity
Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patientsSemantic proximity
A novel disulfidptosis-related lncRNA signature predicts prognosis and therapeutic response in low-grade gliomaSemantic proximity
Pyroptosis-Related Gene Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in GliomaSemantic proximity
Select a neighboring publication to make it the new centre.