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Reciprocal Interaction between Carcinoma-Associated Fibroblasts and Squamous Carcinoma Cells through Interleukin-1α Induces Cancer Progression

Overview of attention for article published in Neoplasia, November 2014
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Title
Reciprocal Interaction between Carcinoma-Associated Fibroblasts and Squamous Carcinoma Cells through Interleukin-1α Induces Cancer Progression
Published in
Neoplasia, November 2014
DOI 10.1016/j.neo.2014.09.003
Pubmed ID
Authors

Jung Yoon Bae, Eun Kyoung Kim, Dong Hyun Yang, Xianglan Zhang, Young-Jin Park, Doo Young Lee, Chung Min Che, Jin Kim

Abstract

Crosstalk between cancer cells and carcinoma-associated fibroblasts (CAFs) has earned recognition as an interaction that plays a pivotal role in carcinogenesis. Thus, we attempted to clarify whether increase in the level of CAFs promotes cancer progression by proportionally enhancing the interaction between cancer cells and CAFs. We first analyzed clinical correlation between the levels of fibroblasts and cancer progression and found that the level of CAFs made a noticeable difference on the prognosis of patients with oral squamous cell carcinoma (OSCC). In vivo animal study also demonstrated that tumor volume depended on the dose of CAFs that was co-injected with OSCC cells. The same tendency was observed in an in vitro study. We also found that interleukin-1α (IL-1α) secreted from OSCC cells had dual effects on CAFs: IL-1α not only promoted the proliferation of CAFs but also upregulated the secretion of cytokines in CAFs such as CCL7, CXCL1, and IL-8. The induction activity of cytokine secretion by IL-1α surpassed that of proliferation in OSCC cells. In summary, we unraveled an important interactive mechanism of carcinogenesis: IL-1α released from carcinoma stimulates the proliferation of CAFs and the simultaneous increase in cytokine secretion from CAFs promotes cancer progression in human OSCC. On the basis of these findings, we propose that the level of CAFs is eligible for being selected as a prognostic factor that will be useful in routine diagnosis. We also propose that blockage of reciprocal interaction between cancer cells and CAFs will provide an insight for developing novel chemotherapeutic strategy.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 23%
Student > Ph. D. Student 7 23%
Other 4 13%
Student > Master 4 13%
Student > Postgraduate 3 10%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 8 26%
Agricultural and Biological Sciences 7 23%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemistry 2 6%
Economics, Econometrics and Finance 1 3%
Other 3 10%
Unknown 6 19%
Attention Score in Context

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 27 November 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Neoplasia
#1,207
of 1,368 outputs
Outputs of similar age
#315,335
of 369,156 outputs
Outputs of similar age from Neoplasia
#15
of 19 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,368 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 369,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.