Chapter title |
The Long and Short Non-coding RNAs in Cancer Biology
|
---|---|
Chapter number | 15 |
Book title |
The Long and Short Non-coding RNAs in Cancer Biology
|
Published in |
Advances in experimental medicine and biology, July 2016
|
DOI | 10.1007/978-981-10-1498-7_15 |
Pubmed ID | |
Book ISBNs |
978-9-81-101496-3, 978-9-81-101498-7, 978-9-81-101496-3, 978-9-81-101498-7
|
Authors |
Zeng, Mu-Sheng, Mu-Sheng Zeng |
Editors |
Erwei Song |
Abstract |
The accuracy and efficiency of tumor treatment depends mainly on early and precise diagnosis. Although histopathology is always the gold standard for cancer diagnosis, noninvasive biomarkers represent an opportunity for early detection and molecular staging of cancer. Besides the classical tumor markers, noncoding RNAs (ncRNAs) emerge to be a novel category of biomarker for cancer diagnosis since the dysregulation of ncRNAs is closely associated with the development and progression of human cancers such as liver, lung, breast, gastric, and other kinds of cancers. In this chapter, we will summarize the different types of ncRNAs in the diagnosis of major human cancers. In addition, we will introduce the recent advances in the detection and applications of circulating serum or plasma ncRNAs and non-blood fluid ncRNAs because the noninvasive body fluid-based assays are easy to examine for cancer diagnosis and monitoring. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 34% |
Lecturer | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Student > Master | 2 | 7% |
Student > Bachelor | 2 | 7% |
Other | 3 | 10% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 28% |
Biochemistry, Genetics and Molecular Biology | 6 | 21% |
Agricultural and Biological Sciences | 2 | 7% |
Computer Science | 1 | 3% |
Chemical Engineering | 1 | 3% |
Other | 2 | 7% |
Unknown | 9 | 31% |