Back to search

Article

Identification of subgroups and development of prognostic risk models along the glycolysis-cholesterol synthesis axis in lung adenocarcinoma

2022-08-11

Abstract excerpt

<h4>Background</h4> Lung cancer is one of the most dangerous malignant tumors affecting human health. Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer. Both glycolytic and cholesterogenic pathways play critical roles in metabolic adaptation to cancer. <h4>Methods</h4> A dataset of 585 LUAD samples was downloaded from The Cancer Genome Atlas (TCGA) database. We obtained co-expressed glycolysis...

Topics

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

Identifiers and source

Literature Corpus work
a64e3a9f-0ae5-5406-a088-752de35de431
DOI
10.1101/2022.08.07.503114
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of subgroups and development of prognostic risk models along the glycolysis-cholesterol synthesis axis in lung adenocarcinomaDOI 10.1101/2022.08.07.503114
Development and validation of glycolysis-cholesterol synthesis genes in lung adenocarcinomaSemantic proximity
Identification of four metabolic subtypes and key prognostic markers in lung adenocarcinoma based on glycolytic and glutaminolytic pathwaysSemantic proximity
Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune responseSemantic proximity
Identification of a 5-Gene Metabolic Signature for Predicting Prognosis Based on an Integrated Analysis of Tumor Microenvironment in Lung AdenocarcinomaSemantic proximity
Establishment and Validation of a Prognostic Signature for Lung Adenocarcinoma Based on Metabolism-Related GenesSemantic proximity
Multicenter integrative analysis identifies a multigene signature for lung adenocarcinoma prognosis via glycolysis metabolism discoordinationSemantic proximity
Establishment and Validation of a Prognostic Signature for Lung Adenocarcinoma Based on Metabolism-related GenesSemantic proximity
A prognostic score model based on eight metabolism-associated genes predicts the survival of adult females with lung adenocarcinomaSemantic proximity
Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinomaSemantic proximity
Establishment and validation of a prognostic signature for lung adenocarcinoma based on metabolism‐related genesSemantic proximity
Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning frameworkSemantic proximity
Construction of a prognostic model for lung adenocarcinoma based on bioinformatics analysis of metabolic genesSemantic proximity
Select a neighboring publication to make it the new centre.