Chapter title |
Classification of Colorectal Cancer in Molecular Subtypes by Immunohistochemistry
|
---|---|
Chapter number | 11 |
Book title |
Colorectal Cancer
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7765-9_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7764-2, 978-1-4939-7765-9
|
Authors |
Sanne ten Hoorn, Anne Trinh, Joan de Jong, Lianne Koens, Louis Vermeulen |
Abstract |
Colorectal cancer (CRC) is a heterogeneous disease, which can be categorized into distinct consensus molecular subtypes (CMSs). These subtypes differ in both clinical as well as biological properties. The gold-standard classification strategy relies on genome-wide expression data, which hampers widespread implementation. Here we describe an immunohistochemical (IHC) Mini Classifier, a practical tool that, in combination with microsatellite instability testing, delivers objective and accurate scoring to classify CRC patients into the main molecular disease subtypes. It is a robust immunohistochemical-based assay containing four specific stainings (FRMD6, ZEB1, HTR2B, and CDX2) in combination with cytokeratin. We also describe an online tool for classification of individual samples based on scoring parameters of these stainings. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 12 | 26% |
Student > Bachelor | 6 | 13% |
Student > Master | 4 | 9% |
Researcher | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 4 | 9% |
Unknown | 14 | 30% |
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Medicine and Dentistry | 11 | 24% |
Agricultural and Biological Sciences | 3 | 7% |
Neuroscience | 2 | 4% |
Computer Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 16 | 35% |