Gene Expression Analysis in Liver Cancer
Author Information
Author(s): Dong Hui, Ge Xijin, Shen Yan, Chen Linlei, Kong Yalin, Zhang Hongyi, Man Xiaobo, Tang Liang, Yuan Hong, Wang Hongyang, Zhao Guoping, Jin Weirong
Primary Institution: Fudan University
Hypothesis
The study aims to identify gene expression profiles in hepatocellular carcinoma (HCC) using SAGE and LongSAGE techniques.
Conclusion
The study identified 224 differentially expressed genes in HCC, providing insights into potential molecular mechanisms of the disease.
Supporting Evidence
- 224 genes related to biosynthesis, cell proliferation, signal transduction, cellular metabolism, and transport were identified to be differentially expressed in HCC.
- The reproducibility of SAGE data was high with a correlation coefficient of 0.97.
- Real-time quantitative RT-PCR validated the overexpression of selected transcripts in HCC.
Takeaway
Researchers looked at how genes behave in liver cancer and found many that are different from normal liver, which could help us understand the disease better.
Methodology
SAGE and LongSAGE techniques were used to analyze gene expression in normal liver and HCC samples, followed by validation using real-time quantitative RT-PCR.
Limitations
The study may not cover all potential gene expressions due to the limitations of the SAGE technique and the specific samples used.
Participant Demographics
HCC patients and normal liver tissue from a patient undergoing hepatectomy.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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