Back to search

Article

The prognostic value of bioinformatics analysis of ECM receptor signaling pathways and LAMB1 identification as a promising prognostic biomarker of lung adenocarcinoma

2023-12-19

Abstract excerpt

<h4>Background: </h4> Our study attempts to investigate the impact of genes related to the extracellular matrix (ECM) receptor interaction pathway on immune-targeted therapy and lung adenocarcinoma (LUAD) prognosis. Methods This study obtained LUAD chip data (GSE68465, GSE31210, GSE116959) from NCBI GEO. Moreover, we downloaded the gene data associated with the ECM receptor interaction pathway from the MsigDB dat...

Topics

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

Identifiers and source

Literature Corpus work
78ecfbdc-139c-5956-a483-67ef5024a389
DOI
10.21203/rs.3.rs-3753557/v1
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.
The prognostic value of bioinformatics analysis of ECM receptor signaling pathways and LAMB1 identification as a promising prognostic biomarker of lung adenocarcinomaDOI 10.21203/rs.3.rs-3753557/v1
A novel basement membrane-related gene signature for prognosis of lung adenocarcinomasSemantic proximity
Identification of molecular markers associated with the progression and prognosis of lung adenocarcinoma:a bioinformatic studySemantic proximity
Systematic Profiling of Invasion-related Genes Signature Predicts Prognostic Features and Identificates Molecular Subtypes of Lung AdenocarcinomaSemantic proximity
The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformaticsSemantic proximity
Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinomaSemantic proximity
IRGS: an immune-related gene classifier for lung adenocarcinoma prognosisSemantic proximity
Myeloid cell differentiation-related gene signature for predicting clinical outcome, immune microenvironment, and treatment response in lung adenocarcinomaSemantic proximity
Seven-gene biomarkers reveal prognostic and immune signatures in lung adenocarcinomaSemantic proximity
A risk model including eight tumor microenvironment-related genes for prediction of lung cancer prognosisSemantic proximity
Prediction of Prognosis, Efficacy of Lung Adenocarcinoma by Machine Learning Model Based on Immune and Metabolic Related GenesSemantic proximity
The establishment of a prognostic model based on bioinformatic analysis of DNA damage repair genes in lung adenocarcinomaSemantic proximity
Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of lung adenocarcinomaSemantic proximity
Select a neighboring publication to make it the new centre.