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Updated: Feb 12, 2026
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Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR
Published on: July 30, 2011
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Microarray expression profiling and bioinformatics analysis of circular RNA expression in lung squamous cell
Jiali Xu1, Yongqian Shu1, Tongpeng Xu1
1Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province HospitalNo. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, People's Republic of China.
American Journal of Translational Research
|April 12, 2018
Summary
Circular RNAs (circRNAs) show altered expression in lung squamous cell carcinoma (LSCC), potentially driving cancer development. Specific circRNAs, like hsa_circRNA_103827 and hsa_circRNA_000122, may serve as key biomarkers for LSCC prognosis and treatment.
Area of Science:
- Molecular Biology
- Oncology
- Genetics
Background:
- Circular RNAs (circRNAs) are emerging as critical regulators in various biological processes.
- The specific roles and expression patterns of circRNAs in lung squamous cell carcinoma (LSCC) are not well understood.
Purpose of the Study:
- To investigate the differential expression of circRNAs in LSCC tissues compared to adjacent normal tissues.
- To identify potential circRNA biomarkers for LSCC diagnosis and prognosis.
Main Methods:
- Microarray analysis to screen differentially expressed circRNAs in LSCC tissues.
- Bioinformatics analysis (GO, KEGG pathways) to predict functions of identified circRNAs.
- Quantitative real-time PCR (qRT-PCR) to validate key circRNAs.
- Kaplan-Meier survival analysis to assess prognostic significance.
Main Results:
- Identified 216 differentially expressed circRNAs in LSCC, with 135 upregulated and 81 downregulated.
- Bioinformatics analysis suggested involvement of these circRNAs in carcinogenesis.
- Validated ten key circRNAs, including hsa_circRNA_103827 and hsa_circRNA_000122.
- High expression of hsa_circRNA_103827 and low expression of hsa_circRNA_000122 correlated with shorter patient survival.
Conclusions:
- CircRNAs are significantly dysregulated in LSCC and are associated with its development.
- hsa_circRNA_103827 and hsa_circRNA_000122 show potential as prognostic biomarkers for LSCC.
- These specific circRNAs may represent novel therapeutic targets for LSCC treatment.
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