Integrated Profiling Revealed Potential Regulatory Networks Among Long Noncoding RNAs and mRNAs in Mucosal Gastric...

Area of Science:

• Oncology
• Molecular Biology
• Genomics

Background:

• Gastric cancer is a prevalent global malignancy with complex underlying mechanisms.
• Long noncoding RNAs (lncRNAs) are increasingly recognized for their roles in cancer progression, but their specific involvement in gastric cancer carcinogenesis requires further investigation.

Purpose of the Study:

• To identify dysregulated lncRNAs and messenger RNAs (mRNAs) in gastric cancer tissues compared to adjacent normal tissues.
• To elucidate the functional roles and interactions of these dysregulated RNAs in gastric cancer pathogenesis.
• To explore potential lncRNA-based biomarkers for early gastric cancer screening.

Main Methods:

• Utilized lncRNA microarray analysis to compare gene expression profiles between gastric cancer and normal tissues.
• Employed quantitative real-time polymerase chain reaction (qRT-PCR) for data validation.
• Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses for functional annotation.
• Applied cis/trans action prediction and coexpression network analysis to identify potential targets and interactions.

Main Results:

• Identified 95 dysregulated lncRNAs and 123 dysregulated mRNAs.
• Validated 6 key lncRNAs using qRT-PCR.
• Pathway analysis highlighted significant involvement of spliceosome, RNA transport, and ubiquitin-mediated proteolysis.
• Coexpression network analysis revealed central roles for transcriptional factors MYC, GABPA, and E2F1.

Conclusions:

• This study presents comprehensive dysregulated lncRNA profiles in mucosal gastric cancer.
• The findings illuminate the biological functions of lncRNAs in gastric cancer development.
• The identified lncRNAs and pathways provide valuable information for developing potential early screening biomarkers for gastric cancer.