Revealing novel biomarkers for oesophageal squamous cell carcinoma through integrated single-cell RNA sequencing analysis
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.
Authors
- Manash Pratim Dutta (ORCID: https://orcid.org/0000-0002-0105-1630)
- Dhruba K. Bhattacharyya
- Bikash Kumar Baruah
- Subhasish Banerjee
Institutions
- Tezpur University (IN)
- Cotton University (IN)
- National Institute of Technology Arunachal Pradesh (IN)
Publication Details
- Journal
- International Journal of Data Mining and Bioinformatics
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1504/ijdmb.2026.150963
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00