| Title |
Targeting cancer stem cell-specific markers and/or associated signaling pathways for overcoming cancer drug resistance
|
|---|---|
| Published in |
Tumor Biology, August 2016
|
| DOI | 10.1007/s13277-016-5294-5 |
| Pubmed ID | |
| Authors |
Peyman Ranji, Tayyebali Salmani Kesejini, Sara Saeedikhoo, Ali Mohammad Alizadeh |
| Abstract |
Cancer stem cells (CSCs) are a small subpopulation of tumor cells with capabilities of self-renewal, dedifferentiation, tumorigenicity, and inherent chemo-and-radio therapy resistance. Tumor resistance is believed to be caused by CSCs that are intrinsically challenging to common treatments. A number of CSC markers including CD44, CD133, receptor tyrosine kinase, aldehyde dehydrogenases, epithelial cell adhesion molecule/epithelial specific antigen, and ATP-binding cassette subfamily G member 2 have been proved as the useful targets for defining CSC population in solid tumors. Furthermore, targeting CSC markers through new therapeutic strategies will ultimately improve treatments and overcome cancer drug resistance. Therefore, the identification of novel strategies to increase sensitivity of CSC markers has major clinical implications. This review will focus on the innovative treatment methods such as nano-, immuno-, gene-, and chemotherapy approaches for targeting CSC-specific markers and/or their associated signaling pathways. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 17% |
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 7 | 15% |
| Student > Master | 7 | 15% |
| Student > Postgraduate | 5 | 11% |
| Other | 4 | 9% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Agricultural and Biological Sciences | 9 | 20% |
| Medicine and Dentistry | 8 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Psychology | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 11 | 24% |
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 03 September 2016.
All research outputs
#18,469,995
of 22,886,568 outputs
Outputs from Tumor Biology
#1,370
of 2,623 outputs
Outputs of similar age
#259,270
of 338,621 outputs
Outputs of similar age from Tumor Biology
#66
of 140 outputs
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