Evidence map›Paper›PMID 40936780›Full record

ArticleGastroenterology and hepatology from bed to bench2025

Antisense RNAs (asRNAs) as key players in gallbladder cancer progression: a bioinformatics analysis.

Monika Rajput, Ruhi Dixit, Manoj Pandey, Vijay Kumar Shukla

Abstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Monika RajputDepartment of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.
Ruhi DixitDepartment of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.
Manoj PandeyDepartment of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.
Vijay Kumar ShuklaDepartment of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study reports differential expression of Antisense RNAs (asRNAs) by analyzing transcriptomic profiles in gallbladder cancer (GBC). Background: asRNAs play crucial roles in developing various tumors. However, the presence and biological mechanism of asRNAs in GBC development are still unknown. Methods: Differentially expressed asRNAs (DE-asRNAs) were systematically identified from RNA sequencing data \ from ten GBC patients. Functional enrichment analysis was performed, followed by the identification of mRNAs targeted by asRNAs and the construction of a gene regulatory network of asRNAs targeting mRNAs. Results: Of the 891 asRNAs identified, 17 DE-asRNAs were statistically significant. Out of 17, 12 asRNAs were upregulated, and five asRNAs were downregulated. Functional enrichment analysis showed their role in methylation and developmental processes. Of the 17 asRNAs, 14 are novel (UNC5B-AS1, SLC2A1-AS1, BBOX1-AS1, SOX21-AS1, ELFN1-AS1, TRPM2-AS, DNAH17-AS1, DCST1-AS1, VPS9D1-AS1, MIR1-1HG-AS1, HAND2-AS1, PGM5P4-AS1, PGM5P3-AS1, and MAGI2-AS). Enrichment analysis of asRNAs with target mRNAs showed enrichment in biological regulation and developmental processes involved in the PI3K, p53, apoptosis, and VEGF signaling pathways. Conclusion: This study identified 14 asRNAs for the first time and showed that asRNAs targeting mRNAs strongly associated with tumor development in GBC through the PI3KCA and TP53 pathways.

Indexed as

Antisense RNA (asRNAs)asRNAs targeting mRNAsDisease Ontology (DO)Gene Ontology (GO)Gene regulatory networkPathway analysis

Identifiers

PMID40936780
PMCPMC12421934

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