ArticleThoracic cancer2023
Identification of a novel anoikis-related gene signature to predict prognosis and tumor microenvironment in lung adenocarcinoma.
Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 47 citations in OpenAlex.
- Identification of an Anoikis-Related Gene Signature to Predict the Prognosis in Patients With Oral Squamous Cell Carcinoma.International dental journal · 2026Article
- An anoikis-related gene signature predicts prognosis and immunotherapy response, and identifies CCAR2 as a therapeutic target in triple-negative breast cancer.Frontiers in immunology · 2026Article
- Clinical and Genotypic Features of Norovirus Enteritis in Children Complicated by Convulsions: A Retrospective Study in Kunming, China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Article
- Decoding anoikis-related genes in lung adenocarcinoma brainmetastasis via single-cell RNA sequencing: CD44-mediated functions.BMC cancer · 2025Article
- Article
- Identification of anoikis-related genes to develop a risk model and predict the prognosis and tumor microenvironment in rectal adenocarcinoma.Frontiers in genetics · 2025Article
- Identification and analysis of diverse programmed cell death patterns in idiopathic pulmonary fibrosis using microarray-based transcriptome profiling and single-nucleus RNA sequencing.Frontiers in medicine · 2025Article
- Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.Frontiers in medicine · 2025Article
- Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning.Frontiers in molecular biosciences · 2025Article
- Programmed cell death pathways in lung adenocarcinoma: illuminating tumor drug resistance and therapeutic opportunities through single-cell analysis.Discover oncology · 2024Article
- Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma.Annals of medicine · 2024Article
- Ergotamine Targets KIF5A to Facilitate Anoikis in Lung Adenocarcinoma.The clinical respiratory journal · 2024Article
- Expression of Anoikis-Related Genes and Potential Biomarkers in Colon Cancer Based on RNA-seq and scRNA-seq.Applied biochemistry and biotechnology · 2024Article
- Identification of anoikis-related long non-coding RNA signature as a novel prognostic model in lung adenocarcinoma.Translational cancer research · 2024Article
- An anoikis-related gene signature predicts prognosis, drug sensitivity, and immune microenvironment in cholangiocarcinoma.Heliyon · 2024Article
- ZEB family is a prognostic biomarker and correlates with anoikis and immune infiltration in kidney renal clear cell carcinoma.BMC medical genomics · 2024Article
- An anoikis-related lncRNA signature may predict the prognosis, immune infiltration, and drug sensitivity in esophageal cancer.Heliyon · 2024Article
- Article
- A novel anoikis-related gene signature predicts prognosis in patients with sepsis and reveals immune infiltration.Scientific reports · 2024Article
- A novel molecular classification system based on the molecular feature score identifies patients sensitive to immune therapy and target therapy.Frontiers in immunology · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLung adenocarcinoma (LUAD) is the most prevalent histotype of non-small cell lung cancer. Anoikis, an alternative form of programmed cell death, plays a pivotal role in cancer invasion and metastasis, preventing the detached cancer cells from readhering to other substrates for abnormal proliferation. The aim of this study was to conduct a comprehensive analyses of the prognostic implications of anoikis-related genes (ARGs) in LUAD.
methodsARGs were selected from The Cancer Genome Atlas (TCGA) database and Genecards dataset using differential expression analysis. The signature incorporating ARGs was identified using univariate Cox regression analysis and LASSO regression analysis. Furthermore, a nomogram containing the signature and clinical information was developed through univariate and multivariate Cox regression analysis. Kaplan-Meier survival analysis and receiver operating characteristic (ROC) curves were applied to evaluate the predictive validity of these risk models. Finally, functional analysis of the selected ARGs in signature and analysis of immune landscape were also conducted.
resultsA 16-gene signature was integrated to stratify LUAD patients into different survival risk groups. The prognostic risk score generated from the signature and TNM stage were identified as independent prognostic factors and utilized to develop a nomogram. Both the signature and the nomogram showed satisfactory prediction performance in predicting overall survival (OS) of LUAD patients. The ARGs were enriched in several biological functions and signaling pathways. Finally, differences of immune landscape were investigated among the high- and low-risk groups stratified by the signature.
conclusionsThis study revealed potential relationships between ARGs and prognosis of LUAD. The prognostic predictors identified in present study could be utilized as potential biomarkers for clinical applications.
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