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Insight into hepatocellular carcinogenesis at transcriptome level by comparing gene expression profiles of hepatocellular carcinoma with those of corresponding noncancerous liver
Open accessAbstract
Human hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. In this work, we report on a comprehensive characterization of gene expression profiles of hepatitis B virus-positive HCC through the generation of a large set of 5′-read expressed sequence tag (EST) clusters (11,065 in total) from HCC and noncancerous liver samples, which then were applied to a cDNA microarray system containing 12,393 genes/ESTs and to comparison with a public database. The commercial cDNA microarray, which contains 1,176 known genes related to oncogenesis, was used also for profiling gene expression. Integrated data from the above approaches identified 2,253 genes/ESTs as candidates with differential expression. A number of genes related to oncogenesis and hepatic function/differentiation were selected for further semiquantitative reverse transcriptase–PCR analysis in 29 paired HCC/noncancerous liver samples. Many genes involved in cell cycle regulation such as cyclins, cyclin-dependent kinases, and cell cycle negative regulators were deregulated in most patients with HCC. Aberrant expression of the Wnt-β-catenin pathway and enzymes for DNA replication also could contribute to the pathogenesis of HCC. The alteration of transcription levels was noted in a large number of genes implicated in metabolism, whereas a profile change of others might represent a status of dedifferentiation of the malignant hepatocytes, both considered as potential markers of diagnostic value. Notably, the altered transcriptome profiles in HCC could be correlated to a number of chromosome regions with amplification or loss of heterozygosity, providing one of the underlying causes of the transcription anomaly of HCC.
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Cites
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Yu, Q., Geng, Y., & Sicinski, P. (2001) · Nature · doi:10.1038/35082500 · Cited by 934
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Glypican-3 as a Serum Marker for Hepatocellular Carcinoma
Capurro, M., & Filmus, J. (2005) · Cancer Research · doi:10.1158/0008-5472.372.65.1 · Cited by 432
Distinct transcriptional profiles of adrenocortical tumors uncovered by DNA microarray analysis
Giordano, T. J., Thomas, D. G., Kuick, R., Lizyness, M., Misek, D. E., Smith, A. L., Sanders, D., Aljundi, R. T., Gauger, P. G., Thompson, N. W., et al. (2003) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)63846-1 · Cited by 383
Hdac3 is essential for the maintenance of chromatin structure and genome stability
Bhaskara, S., Knutson, S. K., Jiang, G., Chandrasekharan, M. B., Wilson, A. J., Zheng, S., Yenamandra, A., Locke, K., Yuan, J.-L., Bonine-Summers, A. R., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.10.022 · Cited by 353
Genetics of hepatocellular tumors
Laurent-Puig, P., & Zucman-Rossi, J. (2006) · Oncogene · doi:10.1038/sj.onc.1209547 · Cited by 317
Metadata
- Authors
- Xu, X.-R., Huang, J., Xu, Z.-G., Qian, B.-Z., Zhu, Z.-D., Yan, Q., Cai, T., Zhang, X., Xiao, H.-S., Qu, J., Liu, F., Huang, Q.-H., Cheng, Z.-H., Li, N.-G., Du, J.-J., Hu, W., Shen, K.-T., Lu, G., Fu, G., Zhong, M., Xu, S.-H., Gu, W.-Y., Huang, W., Zhao, X.-T., Hu, G.-X., Gu, J.-R., Chen, Z., & Han, Z.-G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2001-12-18
- Volume
- 98
- Issue
- 26
- Pages
- 15089-15094
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2032352097
- Cited by
- 365
- References
- 1
- FWCI
- 18.18
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Xu, X.-R., Huang, J., Xu, Z.-G., Qian, B.-Z., Zhu, Z.-D., Yan, Q., Cai, T., Zhang, X., Xiao, H.-S., Qu, J., Liu, F., Huang, Q.-H., Cheng, Z.-H., Li, N.-G., Du, J.-J., Hu, W., Shen, K.-T., Lu, G., Fu, G., . . . Han, Z.-G. (2001). Insight into hepatocellular carcinogenesis at transcriptome level by comparing gene expression profiles of hepatocellular carcinoma with those of corresponding noncancerous liver. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.241522398
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.