Decoding the LncRNA transcriptome of esophageal cancer: identification of clinically relevant LncRNAs

Abstract

Aim: LncRNAs may act as promising biomarkers in esophageal cancer (EC). Here, we illustrate the LncRNA profile and their clinical relevance in EC.

Patients & Methods: In this study, we utilized the Cancer Genome Atlas RNA-sequencing and clinical data from 186 patients and 13 normal samples. Various statistical and gene set enrichment analysis (GSEA) were performed to identify the biomarkers.

Results: In a differential expression analysis, we identified a total of 127 LncRNAs with more differentially expressed in EC compared with normal and showed their function using guilt-by-association analysis. We generated a LncRNAs prognostic signature for EC. Using Cox regression analysis, we showed the prognostic ability of LncRNAs’ prognostic signature in training and test-cohort (p-value $<$ 0.01).

Conclusion: In summary, we explored the LncRNA expression profile and their clinical utility in EC patients.

Seema Khadirnaikar

Research Scholar

My research interests include application of supervised and unupervised machine learning techniques to precision medicine.