Role of the Angiogenic Factors in Cholangiocarcinoma

Author:  Mancinelli, Romina; Mammola, Caterina L.; Sferra, Roberta; Pompili, Simona; Vetuschi, Antonella; Pannarale, Luigi. 2019.

Publication:  Applied Sciences 2019, Vol. 9, Page 1393

CITE.CC academic search helps you expand the influence of your papers.

Tags:     IT

Abstract

Angiogenesis plays a fundamental role in tumor growth and progression. It is regulated by several growth factors, including vascular endothelial growth factor protein family (VEGF) and its receptors, which are probably the most important factors responsible for the development of new vessels. The VEGF family includes several members: VEGF-A, VEGF-B, VEGF-C, VEGF-D, VEGF-E, placental growth factor (PlGF), and their receptors VEGFR-1, VEGFR-2 and VEGFR-3. Other relevant factors are represented by angiopoietins, thrombospondin-1, and endothelins. However, since the therapeutic benefit associated with VEGF-targeted therapy is really complex, a better understanding of these pathways will lead to future advances in the use of these agents for clinic management of tumors. Here we present a review regarding the role of angiogenic factors in cholangiocarcinoma, which arise from cholangiocytes, the epithelial cells of bile ducts. They are rare and aggressive neoplasms with a poor prognosis and limited treatment options, classified as intrahepatic, perihilar, and distal cholangiocarcinoma based on their anatomical location. Therefore, the identification of specific signaling pathways or new tumor biomarkers is crucial in order to develop more effective anti-angiogenic therapies.

Cite this article

Mancinelli R, Mammola CL, Sferra R, Pompili S, Vetuschi A, Pannarale L. Role of the Angiogenic Factors in Cholangiocarcinoma. Applied Sciences. 2019; 9(7):1393.https://doi.org/10.3390/app9071393

View full text

>> Full Text:   Role of the Angiogenic Factors in Cholangiocarcinoma

Review of VSG Control-Enabled Universal Compatibility Architecture for Future Power Systems with Hig

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review