摘要
Hypoxia is a classic feature of the tumor microenvironment with a profound impact on cancer progression and therapeutic response. Activation of complex hypoxia pathways orchestrated by the transcription factor HIF (hypoxia-inducible factor) contributes to aggressive phenotypes and metastasis in numerous cancers. Over the past few decades, exponentially growing research indicated the importance of the non-coding genome in hypoxic tumor regions. Recently, key roles of long non coding RNAs (lncRNAs) in hypoxia-driven cancer progression have begun to emerge. These hypoxia-responsive lncRNAs (HRLs) play pivotal roles in regulating hypoxic gene expression at chromatic, transcriptional, and post-transcriptional levels by acting as effectors of the indirect response to HIF or direct modulators of the HIF-transcriptional cascade. Notably, the aberrant expression of HRLs significantly correlates with poor outcomes in cancer patients, showing promise for future utility as a tumor marker or therapeutic target. Here we address the latest advances made toward understanding the functional relevance of HRLs, the involvement of these transcripts in hypoxia response and the underlying action mechanisms, highlighting their specific roles in HIF-1 signaling regulation and hypoxia-associated malignant transformation.
原文 | 英語 |
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文章編號 | 53 |
期刊 | Journal of Biomedical Science |
卷 | 24 |
發行號 | 1 |
DOIs | |
出版狀態 | 已發佈 - 8月 8 2017 |
ASJC Scopus subject areas
- 內分泌學、糖尿病和代謝
- 分子生物學
- 臨床生物化學
- 細胞生物學
- 生物化學(醫學)
- 藥學(醫學)
指紋
深入研究「Long non-coding RNA and tumor hypoxia: New players ushered toward an old arena」主題。共同形成了獨特的指紋。資料集
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Long non-coding RNA and tumor hypoxia: new players ushered toward an old arena
Shih, J. (Creator) & Kung, H. (Contributor), Figshare, 2017
DOI: 10.6084/m9.figshare.c.3846850.v1, https://doi.org/10.6084%2Fm9.figshare.c.3846850.v1
資料集: Dataset
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Additional file 1: of Long non-coding RNA and tumor hypoxia: new players ushered toward an old arena
Kung, H. (Contributor) & Shih, J. (Creator), Figshare, 2017
DOI: 10.6084/m9.figshare.c.3846850_d1.v1, https://doi.org/10.6084%2Fm9.figshare.c.3846850_d1.v1
資料集: Dataset