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Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs.
- Source :
- Briefings in Functional Genomics; May2024, Vol. 23 Issue 3, p239-248, 10p
- Publication Year :
- 2024
-
Abstract
- Esophageal cancer (ESCA) has a bad prognosis. Long non-coding RNA (lncRNA) impacts on cell proliferation. However, the prognosis function of N6-methyladenosine (m6A)-associated lncRNAs (m6A-lncRNAs) in ESCA remains unknown. Univariate Cox analysis was applied to investigate prognosis related m6A-lncRNAs, based on which the samples were clustered. Wilcoxon rank and Chi-square tests were adopted to compare the clinical traits, survival, pathway activity and immune infiltration in different clusters where overall survival, clinical traits (N stage), tumor-invasive immune cells and pathway activity were found significantly different. Through least absolute shrinkage and selection operator and proportional hazard (Lasso-Cox) model, five m6A-lncRNAs were selected to construct the prognostic signature (m6A-lncSig) and risk score. To investigate the link between risk score and clinical traits or immunological microenvironments, Chi-square test and Spearman correlation analysis were utilized. Risk score was found connected with N stage, tumor stage, different clusters, macrophages M2, B cells naive and T cells CD4 memory resting. Risk score and tumor stage were found as independent prognostic variables. And the constructed nomogram model had high accuracy in predicting prognosis. The obtained m6A-lncSig could be taken as potential prognostic biomarker for ESCA patients. This study offers a theoretical foundation for clinical diagnosis and prognosis of ESCA. [ABSTRACT FROM AUTHOR]
- Subjects :
- ESOPHAGEAL cancer
ADENOSINES
T cells
DISEASE risk factors
LINCRNA
IMMUNOLOGIC memory
Subjects
Details
- Language :
- English
- ISSN :
- 20412649
- Volume :
- 23
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Briefings in Functional Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 177292780
- Full Text :
- https://doi.org/10.1093/bfgp/elad028