A novel epithelial-mesenchymal transition-related gene signature for prognosis prediction in patients with lung adenocarcinoma

Abstract

Traditional pathological diagnoses and clinical methods are insufficient to accurately predict the prognosis of lung adenocarcinoma (LUAD). Epithelial-mesenchymal transition (EMT) process is closely related to tumor cell migration. However, the prognostic value of EMT-related genes in LUAD is still unclear. In this study, we collected bulk RNA-sequencing (RNA-seq) and microarray data of LUAD patients from public databases and identified different expressed EMT-related genes in tumor and normal tissues. Then, we used the least absolute shrinkage and selection operator Cox regression model to develop a multigene signature in the cancer genome atlas (TCGA) cohort and validated the model in the OncoSG (Singapore Oncology Data Portal) cohort as well as other datasets. Finally, we constructed a 12-gene signature to divide LUAD patients into high-risk and low-risk groups of overall survival (OS), which has a better stability and accuracy in predicating the OS of patients compared with some other published signatures of LUAD. In addition, evaluation of the risk model using the time-related receiver operating characteristic (ROC) curve confirmed the predictive ability of the model. Functional analysis showed that these genes are related to immunity. CD8 T cell and CD4 T cell types were significantly negatively correlated with the risk score in the analysis of immune infiltration. In general, our model provides useful information that may help clinicians better predict the prognosis of LUAD patients and provides potential targets for immunotherapy of LUAD.

A novel Chr1-miR-200 driven whole transcriptome signature shapes tumor immune microenvironment and predicts relapse in early-stage lung adenocarcinoma

“…Transcriptomic-based signatures such as the 76GS [ 25 ] and KS [ 26 ] signatures and different scores based on canonical EMT markers have been developed to characterize score EMT [ 30 ] but in LUAD, most of them weakly associate with outcome. Recently, a novel EMT signature for prognosis prediction was published using public datasets and dbEMT 2.0 database [ 43 ]. In a previous work, we focused on EMT regulators and showed that decreased levels of miR-200a, b and miR-429 were significantly linked to DFS and OS in localized NSCLC [ 32 ].…”

Biomarkers Exploration of Epithelial-Mesenchymal Transition and Ferroptosis in Lung Adenocarcinoma: Transcriptomic Analysis and Mendelian Randomization

“…More speci cally, EMT encourages tumor cells to separate from their original site and to move into the bloodstream, where they eventually colonize secondary organs (Qu et al 2023). Several studies have indicated that EMT-related genes (ERGs) can be used as markers for predicting the prognosis of LUAD patients (Cui et al 2022; (Feng et al 2022). Ferroptosis, a relatively recent discovery in the domain of programmed cell death, is distinguished by notable iron accumulation and lipid peroxidation in the course of the cell demise process, setting it apart from the mechanisms of apoptosis, necrosis, and autophagy (Li et al 2020).…”

Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes

“…Non-small cell lung cancer (NSCLC) accounts for about 80–85% of primary lung cancers [ 2 ], with 70% of patients having progressed to intermediate or advanced/late stages by the time of diagnosis [ 3 ]. Lung adenocarcinoma (LUAD) accounts for approximately 40% of all newly diagnosed lung cancer cases and is the most common histologic form of NSCLC [ 4 , 5 ]. Despite significant advances in non-invasive surgery and immunotherapy in recent decades, 5-year overall survival (OS) rate is still as low as 17.4% [ 6 ].…”