Identification of a novel anoikis‐related gene signature to predict prognosis and tumor microenvironment in lung adenocarcinoma

Abstract

Background Lung 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. Methods ARGs 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. Results A 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. Conclusions This 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.

A novel anoikis-related gene signature to predict the prognosis, immune infiltration, and therapeutic outcome of lung adenocarcinoma

“…However, prognostic indicators based on ARGs have rarely been analyzed in LUAD. There was similar article has been published recently (17), however,our study could be more comprehensive because we not only constructed prediction risk model but also established two variously subtypes with "ConsensusClusterPlus" package and the clinical features and biological pathway in the two subtypes were also detected. In this study, we aimed to investigate the molecular alterations and clinical relevance of ARGs in LUAD, and to discuss the relationship between ARGs and LUAD prognosis, we found anoikis could regulate the immune function and metabolism procession which played great roles in prognosis in LUAD.…”

Unveiling Anoikis‐related genes: A breakthrough in the prognosis of bladder cancer

“…We obtained Anoikis-related genes from Diao et al 14 Univariate Cox analysis was conducted on Anoikis-related genes and key genes with prognostic effect were screened out ( p < 0.05). A resampling-based clustering method termed consistency clustering was applied in the TCGA-BLCA cohort using the ConsensusClusterPlus R package.…”

Identification of anoikis-related genes classification patterns and immune infiltration characterization in ischemic stroke based on machine learning

“…Therefore, anoikis may play a crucial role in the occurrence and development of IS. Many studies have shown that anoikis is involved in the pathogenesis of several diseases, especially tumor immunity, such as glioblastoma ( Sun et al, 2022 ), head and neck squamous cell carcinoma ( Chi et al, 2022a ) and lung adenocarcinoma ( Diao et al, 2022 ). Despite growing evidence shows that anoikis regulates immune response, which plays a key role in the development of IS.…”