Back to search

Article

Systematic Profiling of Invasion-related Genes Signature Predicts Prognostic Features and Identificates Molecular Subtypes of Lung Adenocarcinoma

2021-03-30

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Due to the high heterogeneity of lung adenocarcinoma (LUAD), molecular subtype based on gene expression profiles is of great significance for diagnosis, and prognosis prediction in patients with LUAD.<bold>Methods: </bold>Invasion-related genes were obtained from the CancerSEA database, and LUAD expression profiles were downloaded from The Cancer Genome Atlas. T...

Topics

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

Identifiers and source

Literature Corpus work
8a7f7604-bc3b-53bd-92e9-3981dba676e5
DOI
10.21203/rs.3.rs-351860/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.
Systematic Profiling of Invasion-related Genes Signature Predicts Prognostic Features and Identificates Molecular Subtypes of Lung AdenocarcinomaDOI 10.21203/rs.3.rs-351860/v1
Systematic profiling of invasion‐related gene signature predicts prognostic features of lung adenocarcinomaSemantic proximity
Identification of 5‐Gene Signature Improves Lung Adenocarcinoma Prognostic Stratification Based on Differential Expression Invasion Genes of Molecular SubtypesSemantic proximity
A novel basement membrane-related gene signature for prognosis of lung adenocarcinomasSemantic proximity
A Novel Gene Signature based on Immune Cell Infiltration Landscape Predicts Prognosis in Lung Adenocarcinoma PatientsSemantic proximity
Identification of a Novel Tumor Microenvironment–Associated Eight-Gene Signature for Prognosis Prediction in Lung AdenocarcinomaSemantic proximity
A risk model including eight tumor microenvironment-related genes for prediction of lung cancer prognosisSemantic proximity
Identification of lung adenocarcinoma subtypes and a prognostic signature based on activity changes of the hallmark and immunologic gene setsSemantic proximity
Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosisSemantic proximity
Identifying the EMT-related signature to stratify prognosis and evaluate the tumor microenvironment in lung adenocarcinomaSemantic proximity
Identification of a novel necroptosis-related lncRNA-based prognostic model and immunological characteristics of Lung AdenocarcinomaSemantic proximity
Comprehensive Analysis of a Nine-Gene Signature Related to Tumor Microenvironment in Lung AdenocarcinomaSemantic proximity
Study and comparison of prognostic characteristics of lung adenocarcinoma based on tumor microenvironment gene setSemantic proximity
Select a neighboring publication to make it the new centre.