Chapter title |
Involvement of Non-coding RNAs in the Signaling Pathways of Colorectal Cancer.
|
---|---|
Chapter number | 2 |
Book title |
Non-coding RNAs in Colorectal Cancer
|
Published in |
Advances in experimental medicine and biology, August 2016
|
DOI | 10.1007/978-3-319-42059-2_2 |
Pubmed ID | |
Book ISBNs |
978-3-31-942057-8, 978-3-31-942059-2
|
Authors |
Yinxue Yang, Yong Du, Xiaoming Liu, William C. Cho, Yang, Yinxue, Du, Yong, Liu, Xiaoming, Cho, William C. |
Editors |
Ondrej Slaby, George A. Calin |
Abstract |
Colorectal cancer (CRC) is one of the most common diagnosed cancers worldwide. The metastasis and development of resistance to anti-cancer treatment are major challenges in the treatment of CRC. Understanding mechanisms underpinning the pathogenesis is therefore critical in developing novel agents for CRC treatments. A large number of evidence has demonstrated that non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs have functional roles in both the physiological and pathological processes by regulating the expression of their target genes. These molecules are engaged in the pathobiology of neoplastic diseases and are targets for the diagnosis, prognosis and therapy of a variety of cancers, including CRC. In this regard, ncRNAs have emerged as one of the hallmarks of CRC pathogenesis and they also play key roles in metastasis, drug resistance and the stemness of CRC stem cell by regulating various signaling networks. Therefore, a better understanding the ncRNAs involved in the signaling pathways of CRC may lead to the development of novel strategy for diagnosis, prognosis and treatment of CRC. In this chapter, we summarize the latest findings on ncRNAs, with a focus on miRNAs and lncRNAs involving in signaling networks and in the regulation of pathogenic signaling pathways in CRC. |
X Demographics
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 21% |
Student > Ph. D. Student | 5 | 18% |
Researcher | 4 | 14% |
Student > Doctoral Student | 3 | 11% |
Student > Bachelor | 3 | 11% |
Other | 5 | 18% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 7 | 25% |
Agricultural and Biological Sciences | 5 | 18% |
Nursing and Health Professions | 3 | 11% |
Medicine and Dentistry | 3 | 11% |
Immunology and Microbiology | 1 | 4% |
Other | 3 | 11% |
Unknown | 6 | 21% |