| Title |
Cytokines, breast cancer stem cells (BCSCs) and chemoresistance
|
|---|---|
| Published in |
Clinical and Translational Medicine, September 2018
|
| DOI | 10.1186/s40169-018-0205-6 |
| Pubmed ID | |
| Authors |
Weilong Chen, Yuanyuan Qin, Suling Liu |
| Abstract |
Chemotherapy resistance of breast cancer poses a great challenge to the survival of patients. During breast cancer treatment, the development of intrinsic and acquired drug resistance tends to further induce adverse prognosis, such as metastasis. In recent years, the progress of research on cytokine-modulated tumor microenvironment and breast cancer stem cells (BCSCs) has shed light on defining the mechanisms of drug resistance gradually. In this review, we have discussed cytokine regulation on breast cancer chemoresistance. Cytokines can affect tumor cell behavior or reprogram tumor niche through specific signaling pathways, thereby regulating the progress of drug resistance. In addition, we summarized the mutually regulatory networks between cytokines and BCSCs in mediating chemoresistance. Cytokines in the tumor microenvironment can regulate the self-renewal and survival of BCSCs in a variety of ways, sequentially promoting chemotherapeutic resistance. Therefore, the combinational treatment of BCSC targeting and cytokine blockade may have a positive effect on the clinical treatment of breast cancer. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 14% |
| Researcher | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 40 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 21% |
| Medicine and Dentistry | 7 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Immunology and Microbiology | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 41 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 September 2018.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Clinical and Translational Medicine
#433
of 1,060 outputs
Outputs of similar age
#182,286
of 345,580 outputs
Outputs of similar age from Clinical and Translational Medicine
#3
of 10 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
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We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.