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Receptor tyrosine kinase (c-Kit) inhibitors: a potential therapeutic target in cancer cells

Overview of attention for article published in Drug Design, Development and Therapy, August 2016
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1 tweeter

Citations

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Readers on

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147 Mendeley
Title
Receptor tyrosine kinase (c-Kit) inhibitors: a potential therapeutic target in cancer cells
Published in
Drug Design, Development and Therapy, August 2016
DOI 10.2147/dddt.s89114
Pubmed ID
Authors

Maryam Abbaspour Babaei, Behnam Kamalidehghan, Mohammad Saleem, Hasniza Zaman Huri, Fatemeh Ahmadipour

Abstract

c-Kit, a receptor tyrosine kinase, is involved in intracellular signaling, and the mutated form of c-Kit plays a crucial role in occurrence of some cancers. The function of c-Kit has led to the concept that inhibiting c-Kit kinase activity can be a target for cancer therapy. The promising results of inhibition of c-Kit for treatment of cancers have been observed in some cancers such as gastrointestinal stromal tumor, acute myeloid leukemia, melanoma, and other tumors, and these results have encouraged attempts toward improvement of using c-Kit as a capable target for cancer therapy. This paper presents the findings of previous studies regarding c-Kit as a receptor tyrosine kinase and an oncogene, as well as its gene targets and signaling pathways in normal and cancer cells. The c-Kit gene location, protein structure, and the role of c-Kit in normal cell have been discussed. Comprehending the molecular mechanism underlying c-Kit-mediated tumorogenesis is consequently essential and may lead to the identification of future novel drug targets. The potential mechanisms by which c-Kit induces cellular transformation have been described. This study aims to elucidate the function of c-Kit for future cancer therapy. In addition, it has c-Kit inhibitor drug properties and their functions have been listed in tables and demonstrated in schematic pictures. This review also has collected previous studies that targeted c-Kit as a novel strategy for cancer therapy. This paper further emphasizes the advantages of this approach, as well as the limitations that must be addressed in the future. Finally, although c-Kit is an attractive target for cancer therapy, based on the outcomes of treatment of patients with c-Kit inhibitors, it is unlikely that Kit inhibitors alone can lead to cure. It seems that c-Kit mutations alone are not sufficient for tumorogenesis, but do play a crucial role in cancer occurrence.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Researcher 25 17%
Student > Bachelor 22 15%
Student > Master 22 15%
Student > Doctoral Student 9 6%
Other 14 10%
Unknown 27 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 30%
Medicine and Dentistry 29 20%
Agricultural and Biological Sciences 20 14%
Chemistry 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 11 7%
Unknown 29 20%

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 01 August 2016.
All research outputs
#7,054,262
of 8,150,076 outputs
Outputs from Drug Design, Development and Therapy
#707
of 1,036 outputs
Outputs of similar age
#217,685
of 257,747 outputs
Outputs of similar age from Drug Design, Development and Therapy
#36
of 71 outputs
Altmetric has tracked 8,150,076 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,036 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 257,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.