Chapter title |
Genomics Study of Gastric Cancer and Its Molecular Subtypes.
|
---|---|
Chapter number | 21 |
Book title |
Stem Cells, Pre-neoplasia, and Early Cancer of the Upper Gastrointestinal Tract
|
Published in |
Advances in experimental medicine and biology, August 2016
|
DOI | 10.1007/978-3-319-41388-4_21 |
Pubmed ID | |
Book ISBNs |
978-3-31-941386-0, 978-3-31-941388-4
|
Authors |
Siu Tsan Yuen, Suet Yi Leung |
Editors |
Marnix Jansen, Nicholas A. Wright |
Abstract |
Gastric cancer is a heterogeneous disease encompassing diverse morphological (intestinal versus diffuse) and molecular subtypes (MSI, EBV, TP53 mutation). Recent advances in genomic technology have led to an improved understanding of the driver gene mutational profile, gene expression, and epigenetic alterations that underlie each of the subgroups, with therapeutic implications in some of these alterations. There have been attempts to classify gastric cancers based on these genomic features, with an aim to improve prognostication and predict responsiveness to specific drug therapy. The eventual aims of these genomic studies are to develop deep biological insights into the carcinogenic pathway in each of these subtypes. Future large-scale drug screening strategies may then be able to link these genomic features to drug responsiveness, eventually leading to genome-guided personalized medicine with improved cure rates. |
X Demographics
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 3 | 14% |
Student > Doctoral Student | 3 | 14% |
Researcher | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 4 | 19% |
Unknown | 6 | 29% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 24% |
Agricultural and Biological Sciences | 2 | 10% |
Medicine and Dentistry | 2 | 10% |
Computer Science | 2 | 10% |
Veterinary Science and Veterinary Medicine | 1 | 5% |
Other | 2 | 10% |
Unknown | 7 | 33% |