| Title |
Targeting cancer stem cells by using chimeric antigen receptor-modified T cells: a potential and curable approach for cancer treatment
|
|---|---|
| Published in |
Protein & Cell, March 2017
|
| DOI | 10.1007/s13238-017-0394-6 |
| Pubmed ID | |
| Authors |
Yelei Guo, Kaichao Feng, Yao Wang, Weidong Han |
| Abstract |
Cancer stem cells (CSCs), a subpopulation of tumor cells, have self-renewal and multi-lineage differentiation abilities that play an important role in cancer initiation, maintenance, and metastasis. An accumulation of evidence indicates that CSCs can cause conventional therapy failure and cancer recurrence because of their treatment resistance and self-regeneration characteristics. Therefore, approaches that specifically and efficiently eliminate CSCs to achieve a durable clinical response are urgently needed. Currently, treatments with chimeric antigen receptor-modified T (CART) cells have shown successful clinical outcomes in patients with hematologic malignancies, and their safety and feasibility in solid tumors was confirmed. In this review, we will discuss in detail the possibility that CART cells inhibit CSCs by specifically targeting their cell surface markers, which will ultimately improve the clinical response for patients with various types of cancer. A number of viewpoints were summarized to promote the application of CSC-targeted CART cells in clinical cancer treatment. This review covers the key aspects of CSC-targeted CART cells against cancers in accordance with the premise of the model, from bench to bedside and back to bench. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 16% |
| Student > Bachelor | 13 | 15% |
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Doctoral Student | 5 | 6% |
| Other | 8 | 9% |
| Unknown | 25 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 19% |
| Medicine and Dentistry | 14 | 16% |
| Agricultural and Biological Sciences | 10 | 11% |
| Immunology and Microbiology | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 7% |
| Other | 8 | 9% |
| Unknown | 27 | 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 05 May 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from Protein & Cell
#559
of 741 outputs
Outputs of similar age
#235,646
of 308,503 outputs
Outputs of similar age from Protein & Cell
#21
of 25 outputs
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