Identification of Epithelial-Mesenchymal Transition- (EMT-) Related LncRNA for Prognostic Prediction and Risk Stratification in Esophageal Squamous Cell Carcinoma.
Biomarkers, Tumor
/ genetics
China
/ epidemiology
Epithelial-Mesenchymal Transition
Esophageal Neoplasms
/ epidemiology
Esophageal Squamous Cell Carcinoma
/ epidemiology
Female
Follow-Up Studies
Gene Expression Profiling
Humans
Male
Middle Aged
Nomograms
Prognosis
RNA, Long Noncoding
/ genetics
ROC Curve
Risk Assessment
/ methods
Survival Rate
Tumor Microenvironment
Journal
Disease markers
ISSN: 1875-8630
Titre abrégé: Dis Markers
Pays: United States
ID NLM: 8604127
Informations de publication
Date de publication:
2021
2021
Historique:
received:
18
07
2021
revised:
25
09
2021
accepted:
29
09
2021
entrez:
29
10
2021
pubmed:
30
10
2021
medline:
5
2
2022
Statut:
epublish
Résumé
Epithelial-mesenchymal transition (EMT) is significantly associated with the invasion and development of esophageal squamous cell carcinoma (ESCC). However, the importance of EMT-related long noncoding RNA (lncRNA) is little known in ESCC. GSE53624 ( High expression of PLA2G4E-AS1, AC063976.1, and LINC01592 significantly correlated with the favorable overall survival (OS) of ESCC patients, and LINC01592 had the greatest contribution to OS. Importantly, ESCC patients were divided into low- and high-risk groups based on the optimal cut-off value of risk score estimated by the multivariate COX regression model of these three lncRNA. Patients with high risk had a shorter OS rate and restricted mean survival time (RMST) than those with low risk. Moreover, univariate and multivariate COX regression revealed that risk stratification, age, and TNM were independent prognostic predictors, which were used to construct a nomogram model for individualized and visualized prognosis prediction of ESCC patients. The calibration curves and time-dependent ROC curves in the training and validation cohorts suggested that the nomogram model had a good performance. Interestingly, clear trends indicated that risk score positively correlated with tumor microenvironment (TME) scores and immune checkpoints TIGIT, CTLA4, and BTLA. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that PLA2G4E-AS1, AC063976.1, and LINC01592 were primarily associated with TNF signaling pathway, NF-kappa B signaling pathway, and ECM-receptor interaction. We developed EMT-related lncRNA PLA2G4E-AS1, AC063976.1, and LINC01592 for prognostic prediction and risk stratification of Chinese ESCC patients, which might provide deep insight for personalized prognosis prediction in Chinese ESCC patients and be potential biomarkers for designing novel therapy.
Sections du résumé
BACKGROUND
BACKGROUND
Epithelial-mesenchymal transition (EMT) is significantly associated with the invasion and development of esophageal squamous cell carcinoma (ESCC). However, the importance of EMT-related long noncoding RNA (lncRNA) is little known in ESCC.
METHODS
METHODS
GSE53624 (
RESULTS
RESULTS
High expression of PLA2G4E-AS1, AC063976.1, and LINC01592 significantly correlated with the favorable overall survival (OS) of ESCC patients, and LINC01592 had the greatest contribution to OS. Importantly, ESCC patients were divided into low- and high-risk groups based on the optimal cut-off value of risk score estimated by the multivariate COX regression model of these three lncRNA. Patients with high risk had a shorter OS rate and restricted mean survival time (RMST) than those with low risk. Moreover, univariate and multivariate COX regression revealed that risk stratification, age, and TNM were independent prognostic predictors, which were used to construct a nomogram model for individualized and visualized prognosis prediction of ESCC patients. The calibration curves and time-dependent ROC curves in the training and validation cohorts suggested that the nomogram model had a good performance. Interestingly, clear trends indicated that risk score positively correlated with tumor microenvironment (TME) scores and immune checkpoints TIGIT, CTLA4, and BTLA. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that PLA2G4E-AS1, AC063976.1, and LINC01592 were primarily associated with TNF signaling pathway, NF-kappa B signaling pathway, and ECM-receptor interaction.
CONCLUSION
CONCLUSIONS
We developed EMT-related lncRNA PLA2G4E-AS1, AC063976.1, and LINC01592 for prognostic prediction and risk stratification of Chinese ESCC patients, which might provide deep insight for personalized prognosis prediction in Chinese ESCC patients and be potential biomarkers for designing novel therapy.
Identifiants
pubmed: 34712369
doi: 10.1155/2021/5340240
pmc: PMC8548124
doi:
Substances chimiques
Biomarkers, Tumor
0
RNA, Long Noncoding
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5340240Informations de copyright
Copyright © 2021 Peipei Wang et al.
Déclaration de conflit d'intérêts
The authors have declared that no competing interest exists.
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