Back to search

Article

Identification of exosome-related features for prediction prognostic tumor microenvironment in lung adenocarcinoma

2024-05-16

Abstract excerpt

<title>Abstract</title> <p>Background Lung cancer has a high morbidity and mortality rate with currently limited treatment options. There is an urgent need for prognostic markers to facilitate early diagnosis and improve survival rates. This study proposes lysosome-related genes as potential prognostic markers, as they play a significant role in the pathogenesis of lung cancer. Methods The study established a p...

Topics

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

Identifiers and source

Literature Corpus work
20c0ac81-2797-54dc-9474-0a087bfe0a75
DOI
10.21203/rs.3.rs-4375278/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.
Identification of exosome-related features for prediction prognostic tumor microenvironment in lung adenocarcinomaDOI 10.21203/rs.3.rs-4375278/v1
Identification of Lysosome-Related Features for Predicting Prognostic Tumor Microenvironment in Lung AdenocarcinomaSemantic proximity
A risk model including eight tumor microenvironment-related genes for prediction of lung cancer prognosisSemantic proximity
Prognostic Model Establishment and Immune Microenvironment Analysis of Lung Adenocarcinoma Based on Ferroptosis-Related Long Noncoding RNAsSemantic proximity
Identification of a novel necroptosis-related lncRNA-based prognostic model and immunological characteristics of Lung AdenocarcinomaSemantic proximity
Construction and Validation of a Tumor Microenvironment-Based Scoring System to Evaluate Prognosis and Response to Immune Checkpoint Inhibitor Therapy in Lung Adenocarcinoma PatientsSemantic proximity
Prediction of Prognosis, Efficacy of Lung Adenocarcinoma by Machine Learning Model Based on Immune and Metabolic Related GenesSemantic proximity
A risk model developed based on tumor microenvironment predicts overall survival and associates with tumor immunity of patients with lung adenocarcinoma.Semantic proximity
Identification of a Novel Tumor Microenvironment–Associated Eight-Gene Signature for Prognosis Prediction in Lung AdenocarcinomaSemantic proximity
An RNA Modification–Associated Gene-Based Prognostic Model and Its Relevance to the Immune Microenvironment and Therapeutic Response in Lung AdenocarcinomaSemantic proximity
Expression Characteristics and Biological Significance of Exosome- Related Genes in Lung CancerSemantic proximity
Multi-omics Data Analyses Construct TME and Identify the Immune-Related Prognosis Signatures in Human LUADSemantic proximity
The establishment of a prognostic model based on bioinformatic analysis of DNA damage repair genes in lung adenocarcinomaSemantic proximity
Select a neighboring publication to make it the new centre.