Immune-Related Long Non-Coding RNA Signature Determines Prognosis and Immunotherapeutic Coherence in Esophageal Cancer

Immune-Related Long Non-Coding RNA Signature Determines Prognosis and Immunotherapeutic Coherence in Esophageal Cancer

Objectives: Aim of this study was to explore the immune-related lncRNAs having prognostic role and establishing risk score model for better prognosis and immunotherapeutic coherence for esophageal cancer (EC) patients. Methods: To determine the role of immune-related lncRNAs in EC, we analyzed the R...

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Veröffentlicht in:Cancer informatics 2024-01, Vol.23, p.11769351241276757
Hauptverfasser: Uttam, Vivek, Kapoor, Harmanpreet Singh, Rana, Manjit Kaur, Yadav, Ritu, Prakash, Hridayesh, Jain, Manju, Tuli, Hardeep Singh, Jain, Aklank
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Cancer
CD4 antigen
Cell death
Chemokines
Coherence
Correlation analysis
Cytotoxicity
Esophageal cancer
Gene expression
Genes
Genomic analysis
Hazard identification
Immune checkpoint inhibitors
Immune system
Immunological memory
Immunoregulation
Ligands
Lymphocytes
Lymphocytes B
Lymphocytes T
Macrophages
Medical prognosis
Memory cells
Metastases
Natural killer cells
Non-coding RNA
PD-L1 protein
Plasma cells
Prognosis
Proteins
Ribonucleic acid
Risk analysis
Risk groups
RNA
Signal transduction
Statistical analysis
Statistical models
Survival
Survival analysis
Toll-like receptors
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Zusammenfassung:Objectives: Aim of this study was to explore the immune-related lncRNAs having prognostic role and establishing risk score model for better prognosis and immunotherapeutic coherence for esophageal cancer (EC) patients. Methods: To determine the role of immune-related lncRNAs in EC, we analyzed the RNA-seq expression data of 162 EC patients and 11 non-cancerous individuals and their clinically relevant information from the cancer genome atlas (TCGA) database. Bioinformatic and statistical analysis such as Differential expression analysis, co-expression analysis, Kaplan Meier survival analysis, Cox proportional hazards model, ROC analysis of risk model was employed. Results: Utilizing a cutoff criterion (log2FC > 1 + log2FC 
ISSN:1176-9351
1176-9351
DOI:10.1177/11769351241276757