Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A SEMA3 Signaling Pathway-Based Multi-Biomarker for Prediction of Glioma Patient Survival.

International journal of molecular sciences - 7 Oct 2020

Valiulyte Indre, Steponaitis Giedrius, Kardonaite Deimante, Tamasauskas Arimantas, Kazlauskas Arunas

Abstract excerpt

Glioma is a lethal central nervous system tumor with poor patient survival prognosis. Because of the molecular heterogeneity, it is a challenge to precisely determine the type of the tumor and to choose the most effective treatment. Therefore, novel biomarkers are essential to improve the diagnosis and prognosis of glioma tumors. Class 3 semaphorin proteins (SEMA3) play an important role in tumor biology. SEMA3...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Astrocytoma
Share to Biomarkers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Glioma

Share to Kaplan-Meier Estimate

Share to Neoplasm Grading

Share to Prognosis

Share to ROC Curve

Source

Open in PubMed Open full text

Identifiers

PMID: 33036421
DOI: 10.3390/ijms21197396
PMCID: PMC7582960

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A SEMA3 Signaling Pathway-Based Multi-Biomarker for Prediction of Glioma Patient Survival.PMID 33036421Read ↗

A four-gene signature-derived risk score for glioblastoma: prospects for prognostic and response predictive analysesSemantic proximity Read ↗

Analysis of Therapeutic Targets and Prognostic Biomarkers Among semaphorins in the glioblastoma MicroenvironmentSemantic proximity Read ↗

Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of GlioblastomaSemantic proximity Read ↗

Integrative Analysis of DNA Methylation and Gene Expression Identify a Three-Gene Signature for Predicting Prognosis in Lower-Grade GliomasSemantic proximity Read ↗

Fibronectin Type III Domain Containing 3B as a Potential Prognostic and Therapeutic Biomarker for GlioblastomaSemantic proximity Read ↗

A Novel 16-Genes Signature Scoring System as Prognostic Model to Evaluate Survival Risk in Patients with GlioblastomaSemantic proximity Read ↗

Experimental validation of 5 in-silico predicted glioma biomarkersSemantic proximity Read ↗

DNA Methylation-based Diagnostic and Prognostic Biomarkers for GlioblastomaSemantic proximity Read ↗

PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade GliomaSemantic proximity Read ↗

Identification of angiogenesis‐related genes signature for predicting survival and its regulatory network in glioblastomaSemantic proximity Read ↗

A RNA sequencing-based six-gene signature for survival prediction in patients with glioblastomaSemantic proximity Read ↗

SOCS3 is Related to Cell Proliferation in Neuronal Tissue: An Integrated Analysis of Bioinformatics and ExperimentsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.