Back to search

Article

Extra survival tree model based on genes associated with genomic instability for improving clinical outcomes and making treatment recommendations for gliomas

2024-08-31

Abstract excerpt

Genomic instability is a hallmark of cancer and may encourage the formation, heterogeneity, and spread of tumors. Several recent studies have shown that genes associated with genomic instability can aid in predicting the prognoses of patients with tumors. However, the gene screening methodology and the process of prognostic modeling are incomplete. We applied a quantitative integrated genomic instability framework...

Topics

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

Identifiers and source

Literature Corpus work
f6791832-ad92-5de4-b281-ef25e8dc9707
DOI
10.22541/au.172510762.25701082/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.
Extra survival tree model based on genes associated with genomic instability for improving clinical outcomes and making treatment recommendations for gliomasDOI 10.22541/au.172510762.25701082/v1
Mutation-derived, genomic instability-associated lncRNAs are prognostic markers in gliomas.Semantic proximity
A novel DNA damage and repair-related gene signature to improve predictive capacity of overall survival for patients with gliomas.Semantic proximity
Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma.Semantic proximity
Mutator-derived lncRNAs drive genomic instability and represent a kind of prognostic marker for gliomaSemantic proximity
A four-gene signature-derived risk score for glioblastoma: prospects for prognostic and response predictive analysesSemantic proximity
A Prognostic DNA Damage Repair Genes Signature and Its Impact on Immune Cell Infiltration in GliomaSemantic proximity
Integrating Radiosensitivity Gene Signature Improves Glioma Outcome and Radiotherapy Response PredictionSemantic proximity
Identification of a three-long non-coding RNA signature for predicting survival of temozolomide-treated isocitrate dehydrogenase mutant low-grade gliomas.Semantic proximity
Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma.Semantic proximity
Identification of potential biomarkers related to glioma survival by gene expression profile analysisSemantic proximity
MAPK signaling pathway-based glioma subtypes, machine-learning risk model, and key hub proteins identificationSemantic proximity
Clinical utility and treatment outcome of comprehensive genomic profiling in high grade glioma patientsSemantic proximity
Select a neighboring publication to make it the new centre.