Epithelial-mesenchymal transition (EMT) is an important biological process that has been implicated in cancer metastasis. Epithelial cell adhesion molecule (EpCAM) is expressed at the basolateral membrane of most normal epithelial cells but is overexpressed in many epithelial cancers. In our studies on the role of EpCAM in cancer biology, we observed that EpCAM expression is decreased in mesenchymal-like primary cancer specimens in vivo and following induction of EMT in cancer cell lines in vitro. Extracellular signal-related kinase (ERK) is a key regulator of EMT. We observed that EpCAM expression is decreased with activation of the ERK pathway in primary cancer specimens in vivo and in cancer cell lines in vitro. In experimental models, growth factor stimulation and/or oncogene-induced ERK2 activation suppressed EpCAM expression, whereas genetic or pharmacological inhibition of the ERK pathway restored EpCAM expression. In detailed studies of the EpCAM promoter region, we observed that ERK2 suppresses EpCAM transcription directly by binding to a consensus ERK2-binding site in the EpCAM promoter and indirectly through activation of EMT-associated transcription factors SNAI1, SNAI2, TWIST1 and ZEB1, which bind to E-box sites in the EpCAM promoter. Surprisingly, EpCAM appears to modulate ERK activity. Using multiple cell lines, we demonstrated that specific ablation of EpCAM resulted in increased ERK pathway activity and SNAI2 expression, migration and invasion, whereas forced expression of EpCAM resulted in decreased ERK pathway activity and SNAI2 expression, migration and invasion. These observations provide important insights into the regulation of EpCAM expression during EMT, demonstrate an unexpected role for EpCAM in the regulation of ERK and define a novel double-negative feedback loop between EpCAM and ERK that contributes to the regulation of EMT. These studies have important translational implications as both EpCAM and ERK are currently being targeted in human clinical trials.Oncogene advance online publication, 13 February 2017; doi:10.1038/onc.2016.504.
This research output has an Altmetric Attention Score of 10. 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 14 February 2017.
All research outputs
#3,220,961
of 22,953,506 outputs
Outputs from Oncogene
#1,265
of 10,664 outputs
Outputs of similar age
#71,464
of 426,820 outputs
Outputs of similar age from Oncogene
#30
of 114 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 87% of its peers.
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 426,820 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
