Integrating multiple microarray datasets on oral squamous cell carcinoma to reveal dysregulated networks
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Published on: August 11, 2023
Zhongyu Liu1, Yulong Niu, Chao Li
1Anal-Colorectal Surgery Institute, No. 150 Central Hospital of PLA, Luoyang, China 471031.
Background:
Oral squamous cell carcinoma (OSCC) is the sixth most common type of carcinoma worldwide. The pathogenic pathways involved in this cancer are mostly unknown; therefore, a better characterization of the OSCC gene expression profile would represent a considerable advance. The public availability of gene expression datasets was meant to obtain new insights on biological processes.
Methods:
We integrated 4 public microarray datasets on OSCC to evaluate the degree of consistency among the biological results obtained in these different studies and to identify common regulatory pathways that could be responsible for tumor growth.
Results:
Twelve altered cellular pathways implicated in OSCC and 4 genes altered in the extracellular matrix (ECM) receptor pathway were validated by quantitative real-time polymerase chain reaction (qRT-PCR).
Conclusion:
Using 4 expression array datasets, we have developed a robust method for analyzing pathways altered in OSCC.
Insights
This study integrated gene expression data to identify common pathways in oral squamous cell carcinoma (OSCC). Findings reveal 12 altered cellular pathways and 4 key genes in the extracellular matrix receptor pathway, advancing OSCC research.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Oral squamous cell carcinoma (OSCC) is a globally prevalent cancer.
- Pathogenic mechanisms underlying OSCC remain largely undefined.
- Characterizing OSCC gene expression profiles offers potential for significant advancements.
Purpose of the Study:
- To integrate and analyze public gene expression datasets for OSCC.
- To identify common regulatory pathways involved in OSCC tumor growth.
- To gain new insights into the biological processes driving OSCC.
Main Methods:
- Integration of four public microarray datasets specific to OSCC.
- Evaluation of consistency across different OSCC gene expression studies.
- Identification of common regulatory pathways implicated in tumor development.
Main Results:
- Identification of twelve cellular pathways significantly altered in OSCC.
- Validation of four genes within the extracellular matrix (ECM) receptor pathway.
- Confirmation of findings using quantitative real-time polymerase chain reaction (qRT-PCR).
Conclusions:
- A robust methodology was established for analyzing altered pathways in OSCC.
- The study provides a foundation for understanding OSCC pathogenesis.
- This approach enhances the analysis of gene expression data for cancer research.
