Article

Machine Learning-based Classifier to Decipher Immune Landscape of Uveal Melanoma and Predict Patient Outcomes

2023-09-13

Abstract excerpt

Uveal melanoma (UVM) is influenced by immune infiltration features, making the analysis of UVM genomic and immune signatures crucial for predicting patient prognosis and identifying potential targeted therapies.To address this issue, we leveraged multi-omics data from The Cancer Genome Atlas and GEO datasets, especially immune infiltration data, to classify UVM into distinct immune-related subgroups using an unsup...

Topics

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

Identifiers and source

Literature Corpus work: f4710a0c-33ad-5243-b381-789303253ba5
DOI: 10.21203/rs.3.rs-3321323/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning-based Classifier to Decipher Immune Landscape of Uveal Melanoma and Predict Patient OutcomesDOI 10.21203/rs.3.rs-3321323/v1Read

Machine Learning Identifies Glycosphingolipid Signature Linking Immune Dysregulation and Clinical Prognosis in Uveal MelanomaSemantic proximity Read

A multi-omics deep learning model for hypoxia phenotype to predict tumor aggressiveness and prognosis in uveal melanoma for rationalized hypoxia-targeted therapySemantic proximity Read

PI3K/AKT/mTOR pathway-derived risk score exhibits correlation with immune infiltration in uveal melanoma patientsSemantic proximity Read

Identification of molecular subtypes based on tumor-specific genes in melanoma and development of a nomogram for prognostic prediction in patients with melanomaSemantic proximity Read

Advances in immunotherapy for uveal melanoma: enhancing efficacy and overcoming resistanceSemantic proximity Read

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

Identification of Immune Cell Infiltration Landscape and Their Prognostic Significance in Uveal MelanomaSemantic proximity Read

Integrative Multi-Omics Analysis of Melanoma: Uncovering Pathways Associated with Immunotherapy OutcomesSemantic proximity Read

Identification of a novel immune-related gene signature for prognosis and the tumor microenvironment in patients with uveal melanoma combining single-cell and bulk sequencing dataSemantic proximity Read

Construction of oxidative phosphorylation-related prognostic risk score model in uveal melanomaSemantic proximity Read

Identification and validation of three risk models in skin melanoma based on bioinformatics analysisSemantic proximity Read

Identifying biomarkers associated with immunotherapy response in melanoma by multi-omics analysisSemantic proximity Read