Title: Revealing novel biomarkers for oesophageal squamous cell carcinoma through integrated single-cell RNA sequencing analysis

Authors: Bikash Baruah; Manash P. Dutta; Subhasish Banerjee; Dhruba K. Bhattacharyya

Addresses: Department of Computer Science and Engineering, NIT Arunachal Pradesh, India ' Department of Computer Science and Information Technology, Cotton University, Guwahati, Assam, India ' Department of Computer Science and Engineering, NIT Arunachal Pradesh, India ' Department of Computer Science and Engineering, Tezpur University, School of Engineering, Tezpur, India

Abstract: This study employs single-cell RNA sequencing (scRNA-seq) to analyse oesophageal squamous cell carcinoma (ESCC), identifying 10 potential biomarkers (ALDH2, ANGPT2, APPL1, ARPC2, CAD, CALM1, CLDN7, CLTB, F2RL3, LPAR1) associated with radiation exposure. Methodology involves scRNA-seq for data partitioning, pre-processing, clustering, and differential expression analysis. Dysregulated genes are identified through comprehensive gene ontology (GO) annotations, and ESCC-related pathways are explored via the Kyoto encyclopedia of genes and genomes (KEGG) database. Analysis of 38 genes reveals distinct patterns under radiation exposure, enriching understanding of ESCC-related processes, components, and functions. This research provides a holistic view of ESCC's molecular landscape, emphasising the clinical significance of identified biomarkers and contributing significantly to the understanding of this complex malignancy.

Keywords: oesophageal squamous cell carcinoma; ESCC; single-cell RNA sequencing; scRNA-seq; differential expression analysis; gene ontology; GO; pathway analysis; potential biomarker.

DOI: 10.1504/IJDMB.2026.150963

International Journal of Data Mining and Bioinformatics, 2026 Vol.30 No.1/2, pp.104 - 124

Received: 06 Jan 2024
Accepted: 15 May 2024
Published online: 06 Jan 2026 *

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