| Title |
Targeting exosomes from preadipocytes inhibits preadipocyte to cancer stem cell signaling in early-stage breast cancer
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, March 2015
|
| DOI | 10.1007/s10549-015-3326-2 |
| Pubmed ID | |
| Authors |
Ramkishore Gernapudi, Yuan Yao, Yongshu Zhang, Benjamin Wolfson, Sanchita Roy, Nadire Duru, Gabriel Eades, Peixin Yang, Qun Zhou |
| Abstract |
The tumor microenvironment plays a critical role in regulating breast tumor progression. Signaling between preadipocytes and breast cancer cells has been found to promote breast tumor formation and metastasis. Exosomes secreted from preadipocytes are important components of the cancer stem cell niche. Mouse preadipocytes (3T3L1) are treated with the natural antitumor compound shikonin (SK) and exosomes derived from mouse preadipocytes are co-cultured with MCF10DCIS cells. We examine how preadipocyte-derived exosomes can regulate early-stage breast cancer via regulating stem cell renewal, cell migration, and tumor formation. We identify a critical miR-140/SOX2/SOX9 axis that regulates differentiation, stemness, and migration in the tumor microenvironment. Next, we find that the natural antitumor compound SK can inhibit preadipocyte signaling inhibiting nearby ductal carcinoma in situ (DCIS) cells. Through co-culture experiments, we find that SK-treated preadipocytes secrete exosomes with high levels of miR-140, which can impact nearby DCIS cells through targeting SOX9 signaling. Finally, we find that preadipocyte-derived exosomes promote tumorigenesis in vivo, providing strong support for the importance of exosomal signaling in the tumor microenvironment. Our data also show that targeting the tumor microenvironment may assist in blocking tumor progression. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 1% |
| China | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 79 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 28% |
| Researcher | 12 | 15% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 6 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 22% |
| Medicine and Dentistry | 17 | 21% |
| Agricultural and Biological Sciences | 15 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 22 | 27% |
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 January 2016.
All research outputs
#17,751,741
of 22,796,179 outputs
Outputs from Breast Cancer Research and Treatment
#3,573
of 4,655 outputs
Outputs of similar age
#195,600
of 286,004 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#51
of 80 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,655 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 20th percentile – i.e., 20% 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 286,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.