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

Distinct prognostic value of mRNA expression of guanylate-binding protein genes in skin cutaneous melanoma

20 Mar 2018

Abstract excerpt

The purpose of the present study was to assess if guanylate-binding protein (GBP) mRNAs could be prognostic biomarkers for patients with skin cutaneous melanoma (SKCM). The prognostic value of GBP mRNA expression in patients with SKCM was investigated by analyzing gene expression data in 459 SKCM patients. The data were extracted from the OncoLnc database of The Cancer Genome Atlas. A high expression of GBP1,...

Read the complete abstract on PubMed

Topics

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

Share to CAR-T cell therapy research
Share to Immunotherapy and Immune Responses
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29725478
DOI: 10.3892/ol.2018.8306

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Distinct prognostic value of mRNA expression of guanylate-binding protein genes in skin cutaneous melanomaPMID 29725478Read ↗

Identification of four genes associated with cutaneous metastatic melanomaSemantic proximity Read ↗

Identification of Multiple Prognostic Biomarker Sets for Risk Stratification in SKCMSemantic proximity Read ↗

A Four-Gene-Based Prognostic Model Predicts Overall Survival in Patients With Cutaneous MelanomaSemantic proximity Read ↗

A Comprehensive Prognostic and Immunological Analysis of a Six-Gene Signature Associated With Glycolysis and Immune Response in Uveal MelanomaSemantic proximity Read ↗

C1QA, C1QB, and GZMB are novel prognostic biomarkers of skin cutaneous melanoma relating tumor microenvironmentSemantic proximity Read ↗

Bioinformatical analysis identified significant genes in the PI3K-Akt signaling pathway relating with poor prognosis of skin cutaneous melanomaSemantic proximity Read ↗

Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanomaSemantic proximity Read ↗

A Bioinformatics Approach To Reveal Common Genes And Molecular Pathways Shared By Cutaneous Melanoma and Uveal MelanomaSemantic proximity Read ↗

Comprehensive characterization of neddylation related genes in cutaneous melanoma identified a novel prognostic signature for treatment outcomes, immune landscapeSemantic proximity Read ↗

An 11‐gene‐based prognostic signature for uveal melanoma metastasis based on gene expression and DNA methylation profileSemantic proximity Read ↗

Single-cell RNA-sequencing analyses along with abundant machine learning methods develop and validate a novel metabolism-related prognostic model in SKCMSemantic proximity Read ↗

Prognostic Implications of Novel Ten-Gene Signature in Uveal MelanomaSemantic proximity Read ↗

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