scholarly journals Roles of the FGF-FGFR Signaling System in Cancer Development and Inflammation

Cells ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 2231
Author(s):  
Antoni Wiedlocha ◽  
Ellen Margrethe Haugsten ◽  
Malgorzata Zakrzewska
Keyword(s):  
Cancer Development ◽  
Signaling System ◽  
Fgfr Signaling

For multi-cellular organisms to organize tissues, their cells must communicate with each other [...]

scholarly journals A Network Map of FGF-1/FGFR Signaling System

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Rajesh Raju ◽  
Shyam Mohan Palapetta ◽  
Varot K. Sandhya ◽  
Apeksha Sahu ◽  
Abbas Alipoor ◽  
...  
Keyword(s):  
Growth Factor ◽  
Signaling Pathways ◽  
Data Exchange ◽  
Cell Types ◽  
Signaling System ◽  
Standard Data ◽  
Physiological Processes ◽  
Pathway Data ◽  
Fgfr Signaling ◽  
Different Cell Types

Fibroblast growth factor-1 (FGF-1) is a well characterized growth factor among the 22 members of the FGF superfamily in humans. It binds to all the four known FGF receptors and regulates a plethora of functions including cell growth, proliferation, migration, differentiation, and survival in different cell types. FGF-1 is involved in the regulation of diverse physiological processes such as development, angiogenesis, wound healing, adipogenesis, and neurogenesis. Deregulation of FGF-1 signaling is not only implicated in tumorigenesis but also is associated with tumor invasion and metastasis. Given the biomedical significance of FGFs and the fact that individual FGFs have different roles in diverse physiological processes, the analysis of signaling pathways induced by the binding of specific FGFs to their cognate receptors demands more focused efforts. Currently, there are no resources in the public domain that facilitate the analysis of signaling pathways induced by individual FGFs in the FGF/FGFR signaling system. Towards this, we have developed a resource of signaling reactions triggered by FGF-1/FGFR system in various cell types/tissues. The pathway data and the reaction map are made available for download in different community standard data exchange formats through NetPath and NetSlim signaling pathway resources.

Increased serum MMP-2, MMP-7, MMP-9, TIMP-1 and TIMP-2 levels in colorectal cancer development

2011 ◽  
Vol 49 (05) ◽  
Author(s):  
I Hritz ◽  
Z Varga ◽  
M Juhász ◽  
P Miheller ◽  
Z Tulassay ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Development

Glucagon decreases IGF-1 bioactivity in humans: A novel mechanism by which caloric restriction inhibits cancer development

2015 ◽  
Vol 122 (03) ◽  
Author(s):  
Z Sarem ◽  
M Weickert ◽  
B Assefa ◽  
A Adamidou ◽  
V Bähr ◽  
...  
Keyword(s):  
Caloric Restriction ◽  
Cancer Development

Metaplasia — A Transdifferentiatlon Process that Facilitates Cancer Development: The Model of Gastric Intestinal Metaplasia

2006 ◽  
Vol 12 (1-2) ◽  
pp. 3-26 ◽  
Author(s):  
Patricia Mesquita ◽  
Raquel Almeida ◽  
Nuno Lunet ◽  
Celso A. Reis ◽  
Luis Filipe Santos Silva ◽  
...  
Keyword(s):  
Intestinal Metaplasia ◽  
Cancer Development ◽  
Gastric Intestinal Metaplasia

A combination of omega-3 fatty acids and a butyrate-producing fiber mitigates colon cancer development

2006 ◽  
Author(s):  
Dr. Joanne R. Lupton ◽  
Dr. Nancy D. Turner ◽  
Dr. Leslie Braby ◽  
Dr. John Ford ◽  
Dr. Raymond J. Carroll ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Colon Cancer ◽  
Cancer Development ◽  
Omega 3 Fatty Acids ◽  
Omega 3

Identification of BAP1-associated MicroRNAs and Implications in Cancer Development

2019 ◽  
pp. 1-4
Author(s):  
Tikam Chand ◽  
Tikam Chand
Keyword(s):  
Gene Regulation ◽  
In Silico ◽  
Mirna Target ◽  
Target Prediction ◽  
Differential Regulation ◽  
Cancer Development ◽  
Mirna Target Prediction ◽  
Cancer Types ◽  
In Silico Tools

Having role in gene regulation and silencing, miRNAs have been implicated in development and progression of a number of diseases, including cancer. Herein, I present potential miRNAs associated with BAP1 gene identified using in-silico tools such as TargetScan and Exiqon miRNA Target Prediction. I identified fifteen highly conserved miRNA (hsa-miR-423-5p, hsa-miR-3184-5p, hsa-miR-4319, hsa-miR125b-5p, hsa-miR-125a-5p, hsa-miR-6893-3p, hsa-miR-200b-3p, hsa-miR-200c-3p, hsa-miR-505-3p.1, hsa-miR-429, hsa-miR-370-3p, hsa-miR-125a-5p, hsa-miR-141-3p, hsa-miR-200a-3p, and hsa-miR-429) associated with BAP1 gene. We also predicted the differential regulation of these twelve miRNAs in different cancer types.

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