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Large Intervening Non-Coding RNA HOTAIR is Associated with Hepatocellular Carcinoma Progression
Abstract
Increasing evidence suggests that large intervening non-coding RNAs (lincRNAs) regulate key pathways in cancer invasion and metastasis. In this observational retrospective study, the expression of the oncogenic lincRNA HOX transcript antisense RNA (HOTAIR) gene was measured in 63 patients with hepatocellular carcinoma (HCC) following hepatic resection. The HOTAIR gene was significantly overexpressed in HCC tissues compared with adjacent non-tumour tissues. Patients with high HOTAIR gene expression in their tumours had an increased risk of recurrence after hepatectomy. There was also a significant correlation between HOTAIR expression and lymph node metastasis. In vitro assays in the HCC cell line Bel7402 demonstrated that knockdown of HOTAIR lincRNA reduced cell proliferation and was associated with reductions in levels of matrix metalloproteinase-9 and vascular endothelial growth factor protein, which are important for cell motility and metastasis. In conclusion, HOTAIR lincRNA might be a potential biomarker for the existence of lymph node metastasis in HCC.
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Cited by
Roles, Functions, and Mechanisms of Long Non-Coding RNAs in Cancer
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LncRNA: A link between RNA and cancer
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Targeting long non-coding RNA to therapeutically upregulate gene expression
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Potential of long non‐coding RNAs in cancer patients: From biomarkers to therapeutic targets
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Metadata
- Authors
- Geng, Y., Xie, S., Li, Q., Ma, J., & Wang, G.
- Venue
- Journal of International Medical Research
- Publisher
- SAGE Publications
- Published
- 2011-12
- Volume
- 39
- Issue
- 6
- Pages
- 2119-2128
- ISSN
- 0300-0605 (ISSN-L)
- 1473-2300
- OpenAlex
- W2168214267
- Cited by
- 407
- References
- 6
- FWCI
- 10.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Geng, Y., Xie, S., Li, Q., Ma, J., & Wang, G. (2011). Large Intervening Non-Coding RNA HOTAIR is Associated with Hepatocellular Carcinoma Progression. Journal of International Medical Research. https://doi.org/10.1177/147323001103900608
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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.
