| Title |
Novel Small Molecule Inhibitors of Cancer Stem Cell Signaling Pathways
|
|---|---|
| Published in |
Stem Cell Reviews and Reports, July 2015
|
| DOI | 10.1007/s12015-015-9612-x |
| Pubmed ID | |
| Authors |
Danysh Abetov, Zhanar Mustapova, Timur Saliev, Denis Bulanin, Kanat Batyrbekov, Charles P. Gilman |
| Abstract |
The main aim of oncologists worldwide is to understand and then intervene in the primary tumor initiation and propagation mechanisms. This is essential to allow targeted elimination of cancer cells without altering normal mitotic cells. Currently, there are two main rival theories describing the process of tumorigenesis. According to the Stochastic Model, potentially any cell, once defunct, is capable of initiating carcinogenesis. Alternatively the Cancer Stem Cell (CSC) Model posits that only a small fraction of undifferentiated tumor cells are capable of triggering carcinogenesis. Like healthy stem cells, CSCs are also characterized by a capacity for self-renewal and the ability to generate differentiated progeny, possibly mediating treatment resistance, thus leading to tumor recurrence and metastasis. Moreover, molecular signaling profiles are similar between CSCs and normal stem cells, including Wnt, Notch and Hedgehog pathways. Therefore, development of novel chemotherapeutic agents and proteins (e.g., enzymes and antibodies) specifically targeting CSCs are attractive pharmaceutical candidates. This article describes small molecule inhibitors of stem cell pathways Wnt, Notch and Hedgehog, and their recent chemotherapy clinical trials. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 49% |
| Researcher | 9 | 24% |
| Student > Master | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Professor > Associate Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 32% |
| Agricultural and Biological Sciences | 11 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Mathematics | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 3 | 8% |
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 November 2015.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Stem Cell Reviews and Reports
#681
of 1,036 outputs
Outputs of similar age
#163,846
of 274,655 outputs
Outputs of similar age from Stem Cell Reviews and Reports
#13
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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