Vascular patterns provide therapeutic targets in aggressive neuroblastic tumors
Metrics: PDF 820 views | HTML 1002 views | ?
Irene Tadeo1, Gloria Bueno2, Ana P. Berbegall1, M. Milagro Fernández-Carrobles2, Victoria Castel3, Marcial García-Rojo4, Samuel Navarro1, Rosa Noguera1
1Pathology Department, Medical School, University of Valencia, INCLIVA, 46010 Valencia, Spain
2VISILAB, E.T.S. Ingenieros Industriales, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
3Pediatric Oncology Unit, University and Polytechnic Hospital La Fe, 46026 Valencia, Spain
4Department of Pathology, Hospital de Jerez de la Frontera, 11407 Jerez de la Frontera, Cádiz, Spain
Rosa Noguera Salvá, e-mail: email@example.com
Keywords: extracellular matrix, blood vessels, capillaries, sinusoids, neuroblastoma
Received: December 14, 2015 Accepted: February 16, 2016 Published: February 24, 2016
Angiogenesis is essential for tumor growth and metastasis, nevertheless, in NB, results between different studies on angiogenesis have yielded contradictory results. An image analysis tool was developed to characterize the density, size and shape of total blood vessels and vascular segments in 458 primary neuroblastic tumors contained in tissue microarrays. The results were correlated with clinical and biological features of known prognostic value and with risk of progression to establish histological vascular patterns associated with different degrees of malignancy. Total blood vessels were larger, more abundant and more irregularly-shaped in tumors of patients with associated poor prognostic factors than in the favorable cohort. Tumor capillaries were less abundant and sinusoids more abundant in the patient cohort with unfavorable prognostic factors. Additionally, size of post-capillaries & metarterioles as well as higher sinusoid density can be included as predictive factors for survival. These patterns may therefore help to provide more accurate pre-treatment risk stratification, and could provide candidate targets for novel therapies.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.