Chapter title |
Pharmacologic Manipulation of Wnt Signaling and Cancer Stem Cells
|
---|---|
Chapter number | 18 |
Book title |
Biological Networks and Pathway Analysis
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7027-8_18 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7025-4, 978-1-4939-7027-8
|
Authors |
Yann Duchartre, Yong-Mi Kim, Michael Kahn |
Abstract |
Wnt (Wingless-related integration site)-signaling orchestrates self-renewal programs in normal somatic stem cells as well as in cancer stem cells. Aberrant Wnt signaling is associated with a wide variety of malignancies and diseases. Although our understanding has increased tremendously over the past decade, therapeutic targeting of the dysregulated Wnt pathway remains a challenge. Here we review recent preclinical and clinical therapeutic approaches to target the Wnt pathway. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Student > Doctoral Student | 1 | 10% |
Other | 1 | 10% |
Student > Master | 1 | 10% |
Other | 0 | 0% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Medicine and Dentistry | 2 | 20% |
Immunology and Microbiology | 2 | 20% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2017.
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#15,477,045
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#5,381
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Outputs of similar age from Methods in molecular biology
#468
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