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Updated: Jun 29, 2025

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
Published on: May 12, 2019
Endothelial cell proliferation and vascular patterns in urothelial carcinoma
Tiberiu Gabriel Adelmann1, Amalia Raluca Ceauşu, Nela Puşa Gaje
1Department of Microscopic Morphology/Histology, Angiogenesis Research Center, Victor Babeş University of Medicine and Pharmacy, Timişoara, Romania; ra.ceausu@umft.ro.
Introduction:
The bladder cancer has some characteristics: the sixth most incident neoplasm in the United States, the majority of diagnosed cases in those 55 years of age and older, four times more common in man than women, a reduced five-year survival rate in case of metastatic disease. Despite the beneficial effects of the combination therapy and immunotherapy, the low response rate and drug resistance were reported. The main goal of this work was evaluation of the endothelial cell proliferation from urothelial carcinomas.
Patients, Materials And Methods:
Fifty-two cases of T2-T4 infiltrative bladder tumors, aged between 46 and 78 years, were investigated. Morphological, simple and cluster of differentiation 31 (CD31)∕Ki67, CD31∕smooth muscle actin (SMA) double immunostaining were performed.
Results:
In all the analyzed infiltrative bladder tumors, three types of vessels were noticed: immature, intermediate and mature. In the central part of the tumor area, the following distribution of vessel types was noticed: immature (62.25%), intermediate (35.1%), and mature vessels (2.65%). In the peripheral tumor area, the intermediate vessels increase numerically, up to 54% and the mature ones, up to 18.6%. The peritumoral area was characterized by the absence of immature vessels and the presence of intermediate and mature ones only. It was found the presence of endothelial cell nuclei stained for Ki67 only for immature and intermediate vessels, and never for mature ones.
Conclusions:
The vascular patterns may contribute to a better stratification of the patient subgroups and antiangiogenic treatment algorithms.
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