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Attention Score in Context
| Title |
Role of mesenchymal cells in the natural history of ovarian cancer: a review
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2014
|
| DOI | 10.1186/s12967-014-0271-5 |
| Pubmed ID | |
| Authors |
Cyril Touboul, Fabien Vidal, Jennifer Pasquier, Raphael Lis, Arash Rafii |
| Abstract |
BackgroundOvarian cancer is the deadliest gynaecologic malignancy. Despite progresses in chemotherapy and ultra-radical surgeries, this locally metastatic disease presents a high rate of local recurrence advocating for the role of a peritoneal niche. For several years, it was believed that tumor initiation, progression and metastasis were merely due to the changes in the neoplastic cell population and the adjacent non-neoplastic tissues were regarded as bystanders. The importance of the tumor microenvironment and its cellular component emerged from studies on the histopathological sequence of changes at the interface between putative tumor cells and the surrounding non-neoplastic tissues during carcinogenesis.MethodIn this review we aimed to describe the pro-tumoral crosstalk between ovarian cancer and mesenchymal stem cells. A PubMed search was performed for articles published pertaining to mesenchymal stem cells and specific to ovarian cancer.ResultsMesenchymal stem cells participate to an elaborate crosstalk through direct and paracrine interaction with ovarian cancer cells. They play a role at different stages of the disease: survival and peritoneal infiltration at early stage, proliferation in distant sites, chemoresistance and recurrence at later stage.ConclusionThe dialogue between ovarian and mesenchymal stem cells induces the constitution of a pro-tumoral mesencrine niche. Understanding the dynamics of such interaction in a clinical setting might propose new therapeutic strategies. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 5 | 11% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 40% |
| Agricultural and Biological Sciences | 10 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Engineering | 2 | 4% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 16% |
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 12 October 2014.
All research outputs
#17,728,987
of 22,766,595 outputs
Outputs from Journal of Translational Medicine
#2,734
of 3,982 outputs
Outputs of similar age
#172,441
of 256,089 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 79 outputs
Altmetric has tracked 22,766,595 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.
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