Article

Prognostic Impact of the Lipid Metabolism Gene AGPAT4 in the Tumor Immune Microenvironment of Thyroid Cancer

2025-11-10

Abstract excerpt

<title>Abstract</title> <p>Background Thyroid cancer (THCA), as a common endocrine malignancy, poses significant clinical challenges in terms of diagnosis and prognosis. This study aims to elucidate the role of AGPAT4, a gene involved in lipid metabolism, particularly fatty acid and glycerophospholipid metabolism, in thyroid cancer through bioinformatics analysis using data from The Cancer Genome Atlas (TCGA) dat...

Topics

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

Identifiers and source

Literature Corpus work: 1f49614c-7ea5-5770-b914-7325761d3a05
DOI: 10.21203/rs.3.rs-7931889/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prognostic Impact of the Lipid Metabolism Gene AGPAT4 in the Tumor Immune Microenvironment of Thyroid CancerDOI 10.21203/rs.3.rs-7931889/v1Read

Diagnostic, Prognostic, and Immunological Roles of FABP4 in Pancancer: A Bioinformatics AnalysisSemantic proximity Read

APOE is a Prognostic Biomarker and Correlates With Immune Infiltrates in Papillary Thyroid CarcinomaSemantic proximity Read

Identification of lipid metabolism-related genes as prognostic indicators in papillary thyroid cancerSemantic proximity Read

Identification of Lipid Metabolism-Related Genes as Prognostic Indicators in Papillary Thyroid CancerSemantic proximity Read

Multi-omics Signatures and Translational Potential to Improve Thyroid Cancer Patient OutcomeSemantic proximity Read

Comprehensive transcriptomic profiling reveals molecular characteristics and biomarkers associated with risk stratification in papillary thyroid carcinoma.Semantic proximity Read

Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profileSemantic proximity Read

A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validationSemantic proximity Read

Integrated Multi-Omics Bioinformatics and Machine Learning Framework Identifies SPATA18 and IGF2BP2 as Robust Prognostic Biomarkers for Papillary Thyroid CarcinomaSemantic proximity Read

Comprehensive analysis of the prognostic value of PEBP4 in pan-cancersSemantic proximity Read

Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysisSemantic proximity Read

Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risksSemantic proximity Read