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 novel lipid metabolism gene signature for clear cell renal cell carcinoma using integrated bioinformatics analysis

14 Feb 2023

Abstract excerpt

Background: Clear cell renal cell carcinoma (ccRCC), which is the most prevalent type of renal cell carcinoma, has a high mortality rate. Lipid metabolism reprogramming is a hallmark of ccRCC progression, but its specific mechanism remains unclear. Here, the relationship between dysregulated lipid metabolism genes (LMGs) and ccRCC progression was investigated. Methods: The ccRCC transcriptome data and patients’...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis
Share to Renal cell carcinoma treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36866272
DOI: 10.3389/fcell.2023.1078759

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel lipid metabolism gene signature for clear cell renal cell carcinoma using integrated bioinformatics analysisPMID 36866272Read ↗

Comprehensive analysis of LD-related genes signature for predicting prognosis and immunotherapy response in clear cell renal cell carcinomaSemantic proximity Read ↗

A cluster of metabolism-related genes predict prognosis and progression of clear cell renal cell carcinomaSemantic proximity Read ↗

Molecular subtypes based on metabolic genes are potential biomarkers for predicting prognosis and immune responses of clear cell renal cell carcinomaSemantic proximity Read ↗

Identification of Prognostic Metabolism-Related Genes in Clear Cell Renal Cell CarcinomaSemantic proximity Read ↗

Multi-omic profiling of clear cell renal cell carcinoma identifies metabolic reprogramming associated with disease progressionSemantic proximity Read ↗

The multi-omics analyses of acsl1 reveal its translational significance as a tumor microenvironmental and prognostic biomarker in clear cell renal cell carcinomaSemantic proximity Read ↗

Metabolic genes show excellent prognostic ability for clear cell renal cell carcinomaSemantic proximity Read ↗

Identification of a Combined Immune- and Metabolism- Related Prognostic Signature for Clear Cell Renal Cell CarcinomaSemantic proximity Read ↗

miR-1182-mediated ALDH3A2 inhibition affects lipid metabolism and progression in ccRCC by activating the PI3K-AKT pathwaySemantic proximity Read ↗

The Multi-Omics Analyses of ACSL1 Reveal Its Translational Significance as a Tumor Microenvironmental and Prognostic Biomarker in Clear Cell Renal Cell CarcinomaSemantic proximity Read ↗

Integrative analysis of bulk and single-cell RNA sequencing reveals sphingolipid metabolism and immune landscape in clear cell renal cell carcinoma.Semantic proximity Read ↗

Fatty acids metabolism affects the therapeutic effect of anti-PD-1/PD-L1 in tumor immune microenvironment in clear cell renal cell carcinomaSemantic proximity Read ↗

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