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RNA Activation

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Cover of 'RNA Activation'

Table of Contents

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    Book Overview
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    Chapter 1 Small RNA-Guided Transcriptional Gene Activation (RNAa) in Mammalian Cells
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    Chapter 2 Enhancing Neuronogenesis and Counteracting Neuropathogenic Gene Haploinsufficiencies by RNA Gene Activation
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    Chapter 3 Target-Recognition Mechanism and Specificity of RNA Activation
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    Chapter 4 Promoter-Targeted Small Activating RNAs Alter Nucleosome Positioning
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    Chapter 5 Endogenous miRNAa: miRNA-Mediated Gene Upregulation
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    Chapter 6 miRNA-Mediated RNA Activation in Mammalian Cells
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    Chapter 7 RNAa Induced by TATA Box-Targeting MicroRNAs
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    Chapter 8 miRNA-Mediated RNAa by Targeting Enhancers
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    Chapter 9 Specific Increase of Protein Levels by Enhancing Translation Using Antisense Oligonucleotides Targeting Upstream Open Frames
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    Chapter 10 Repurposing CRISPR System for Transcriptional Activation
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    Chapter 11 RNA-Mediated Gene Activation: Identifying a Candidate RNA for Preclinical Development
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    Chapter 12 Treatment of Pancreatic Cancer by Aptamer Conjugated C/EBPα-saRNA
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    Chapter 13 Treatment of Liver Cancer by C/EBPA saRNA
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    Chapter 14 Enhancing Angiogenesis in Mice by VEGF-Targeting Small Activating RNAs
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    Chapter 15 Suppression of Prostate Cancer Metastasis by DPYSL3-Targeted saRNA
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    Chapter 16 Development of Therapeutic dsP21-322 for Cancer Treatment
Attention for Chapter 13: Treatment of Liver Cancer by C/EBPA saRNA
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Chapter title
Treatment of Liver Cancer by C/EBPA saRNA
Chapter number 13
Book title
RNA Activation
Published in
Advances in experimental medicine and biology, June 2017
DOI 10.1007/978-981-10-4310-9_13
Pubmed ID
Book ISBNs
978-9-81-104309-3, 978-9-81-104310-9
Authors

Xiaoyang Zhao, Jon Voutila, Stephanos Ghobrial, Nagy A. Habib, Vikash Reebye

Editors

Long-Cheng Li

Abstract

The prognosis for hepatocellular carcinoma (HCC) remains poor and has not improved in over two decades. Most patients with advanced HCC who are not eligible for surgery have limited treatment options due to poor liver function or large, unresectable tumors. Although sorafenib is the standard-of-care treatment for these patients, only a small number respond. For the remaining, the outlook remains bleak. A better approach to target "undruggable" molecular pathways that reverse HCC is therefore urgently needed. Small activating RNAs (saRNAs) may provide a novel strategy to activate expression of genes that become dysregulated in chronic disease. The transcription factor CCAAT/enhancer-binding protein alpha (C/EBPα), a critical regulator of hepatocyte function, is suppressed in many advanced liver diseases. By using an saRNA to activate C/EBPα, we can exploit the cell's own transcription machinery to enhance gene expression without relying on exogenous vectors that have been the backbone of gene therapy. saRNAs do not integrate into the host genome and can be modified to avoid immune stimulation. In preclinical models of liver disease, treatment with C/EBPα saRNA has shown reduction in tumor volume and improvement in serum markers of essential liver function such as albumin, bilirubin, aspartate aminotransferase (AST), and alanine transaminase (ALT). This saRNA that activates C/EBPα for advanced HCC is the first saRNA therapy to have entered a human clinical trial. The hope is that this new tool will help break the dismal 20-year trend and provide a more positive prognosis for patients with severe liver disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 16%
Researcher 2 11%
Librarian 1 5%
Student > Ph. D. Student 1 5%
Student > Bachelor 1 5%
Other 0 0%
Unknown 11 58%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 5%
Immunology and Microbiology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 53%