| Title |
S100P is a metastasis-associated gene that facilitates transendothelial migration of pancreatic cancer cells
|
|---|---|
| Published in |
Clinical & Experimental Metastasis, September 2012
|
| DOI | 10.1007/s10585-012-9532-y |
| Pubmed ID | |
| Authors |
Sayka Barry, Claude Chelala, Kate Lines, Makoto Sunamura, Amu Wang, Federica M. Marelli-Berg, Caroline Brennan, Nicholas R. Lemoine, Tatjana Crnogorac-Jurcevic |
| Abstract |
Pancreatic ductal adenocarcinoma (PDAC) is the 5th most common cause of cancer death in the UK and the 4th in the US. The vast majority of deaths following pancreatic cancer are due to metastatic spread, hence understanding the metastatic process is vital for identification of critically needed novel therapeutic targets. An enriched set of 33 genes differentially expressed in common between primary PDAC and liver metastases, when compared to normal tissues, was obtained through global gene expression profiling. This metastasis-associated gene set comprises transcripts from both cancer (S100P, S100A6, AGR2, etc.) and adjacent stroma (collagens type I, III, and V, etc.), thus reinforcing the concept of a continuous crosstalk between the two compartments in both primary tumours and their metastases. The expression of S100P, SFN, VCAN and collagens was further validated in additional primary PDACs and matched liver metastatic lesions, while the functional significance of one of the most highly expressed genes, S100P, was studied in more detail. We show that this protein increases the transendothelial migration of PDAC cancer cells in vitro, which was also confirmed in vivo experiments using a zebrafish embryo model. Thus S100P facilitates cancer cell intravasation/extravasation, critical steps in the hematogenous dissemination of pancreatic cancer cells. |
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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Researcher | 9 | 15% |
| Student > Bachelor | 8 | 14% |
| Other | 3 | 5% |
| Professor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 29% |
| Agricultural and Biological Sciences | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 9 | 15% |
| Computer Science | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 19 | 32% |
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 08 October 2012.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Clinical & Experimental Metastasis
#603
of 778 outputs
Outputs of similar age
#132,773
of 173,607 outputs
Outputs of similar age from Clinical & Experimental Metastasis
#4
of 9 outputs
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