Long Non-Coding RNAs in Biliary Tract Cancer—An Up-to-Date Review

The term long non-coding RNA (lncRNA) describes non protein-coding transcripts with a length greater than 200 base pairs. The ongoing discovery, characterization and functional categorization of lncRNAs has led to a better understanding of the involvement of lncRNAs in diverse biological and pathological processes including cancer. Aberrant expression of specific lncRNA species was demonstrated in various cancer types and associated with unfavorable clinical characteristics. Recent studies suggest that lncRNAs are also involved in the development and progression of biliary tract cancer, a rare disease with high mortality and limited therapeutic options. In this review, we summarize current findings regarding the manifold roles of lncRNAs in biliary tract cancer and give an overview of the clinical and molecular consequences of aberrant lncRNA expression as well as of underlying regulatory functions of selected lncRNA species in the context of biliary tract cancer.

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Aberrant expression of the PHF14 gene in biliary tract cancer cells

Oncology Letters ◽

10.3892/ol.2013.1278 ◽

2013 ◽

Vol 5 (6) ◽

pp. 1849-1853 ◽

Cited By ~ 8

Author(s):

TAKAKO AKAZAWA ◽

KOHICHIROH YASUI ◽

YASUYUKI GEN ◽

NOBUHISA YAMADA ◽

AKIRA TOMIE ◽

...

Keyword(s):

Cancer Cells ◽

Biliary Tract ◽

Biliary Tract Cancer ◽

Aberrant Expression ◽

Tract Cancer

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A General Computational Framework for Prediction of Disease-associated Non-coding RNAs

VNU Journal of Science Computer Science and Communication Engineering ◽

10.25073/2588-1086/vnucsce.224 ◽

2019 ◽

Vol 35 (2) ◽

Author(s):

Duc-Hau Le

Keyword(s):

Computational Methods ◽

Computational Models ◽

Base Pairs ◽

Computational Framework ◽

Protein Coding ◽

Non Coding Rna ◽

Small Set ◽

Computational Aspects ◽

Non Coding Rnas ◽

Long Non Coding Rna

Since last decade, we have been witnessing the raise of non-coding RNAs (ncRNAs) in biomedical research. Many ncRNAs have been identified and classified into different classes based on their length in number of base pairs (bp). In parallel, our understanding about functions of ncRNAs is gradually increased. However, only small set among tens of thousands of ncRNAs have been well studied about their functions and their roles in development of diseases. This raises a pressing need to develop computational methods to associate diseases and ncRNAs. Two most widely studied ncRNAs are microRNA (miRNA) and long non-coding RNA (lncRNA), since miRNAs are the regulators of most protein-coding genes and lncRNAs are the most ubiquitously found in mammalian. To date, many computational methods have been also proposed for prediction of disease-associated miRNAs and lncRNAs, and recently comprehensively reviewed. However, in the previous reviews, these computational methods were described separately, thus this limits our understanding about their underlying computational aspects. Therefore, in this study, we propose a general computational framework for prediction of disease-associated ncRNAs. The framework demonstrates a whole computational process from data preparation to computational models.

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Pathogenetic Role and Clinical Implications of Regulatory RNAs in Biliary Tract Cancer

Cancers ◽

10.3390/cancers13010012 ◽

2020 ◽

Vol 13 (1) ◽

pp. 12

Author(s):

Nduka Ofoeyeno ◽

Emmanuel Ekpenyong ◽

Chiara Braconi

Keyword(s):

Biliary Tract ◽

Biliary Tract Cancer ◽

Transcriptional Repression ◽

Small Rnas ◽

Mechanisms Of Action ◽

Clinical Implications ◽

Tract Cancer ◽

Non Coding Rna ◽

Regulatory Rnas

Biliary tract cancer (BTC) is characterised by poor prognosis and low overall survival in patients. This is generally due to minimal understanding of its pathogenesis, late diagnosis and limited therapeutics in preventing or treating BTC patients. Non-coding RNA (ncRNA) are small RNAs (mRNA) that are not translated to proteins. ncRNAs were considered to be of no importance in the genome, but recent studies have shown they play essential roles in biology and oncology such as transcriptional repression and degradation, thus regulating mRNA transcriptomes. This has led to investigations into the role of ncRNAs in the pathogenesis of BTC, and their clinical implications. In this review, the mechanisms of action of ncRNA are discussed and the role of microRNAs in BTC is summarised. The scope of this review will be limited to miRNA as they have been shown to play the most significant roles in BTC progression. There is huge potential in miRNA-based biomarkers and therapeutics in BTC, but more studies, research and technological advancements are required before it can be translated into clinical practice for patients.

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