Literature DB >> 17180739

A comparison of the vascular density of VEGF expression with microvascular density determined with CD34 and CD31 staining and conventional prognostic markers in renal cell carcinoma.

Demet Yilmazer1, Unsal Han, Binnur Onal.   

Abstract

AIM: The aim of this study was to compare the vascular density of Vascular endothelial growth factor (VEGF) expression with microvascular density determined by CD34 and CD31 with conventional prognostic parameters.
METHODS: The study involved 50 renal cell carcinoma (RCC) cases. VEGF, CD34, and CD31 were stained by immunohistochemistry, and then preparations were evaluated by two pathologists under light microscopy. The whole tumor area was scrutinized in all the sections. In the evaluation of VEGF, due to the lack of homogenous staining within the tumor, two parameters, distribution and intensity of expression, were evaluated semiquantitively. In the evaluation of microvascular density with CD34 and CD31 staining, three hot areas with the highest density were determined. In x200 magnification of these areas, on a single plane, the quantity of vascular structures with lumens was determined.
RESULTS: Intensity of VEGF Expression was higher in papillary type carcinoma of kidney parenchyma (P = 0.014) and it was significantly correlated with tumor stage (P = 0.013), survival time (P = 0.01), and tumor size (P = 0.035). Distribution of VEGF expression was also higher in papillary RCC (P = 0.055) and it was significantly correlated with tumor stage (P = 0.043) and tumor size (P = 0.039). Vascular density determined with CD34 staining was higher in conventional RCC (P < 0.05); in addition, it was significantly correlated with distribution and intensity of VEGF expression (P < 0.05) and tumor stage (P < 0.05). Vascular density determined with CD31 staining was not significantly correlated with tumor type, tumor stage, nuclear grade, and survival time.
CONCLUSIONS: Intensity and distribution of VEGF were higher in papillary RCC. Both parameters were significantly correlated with tumor size, stage, and vascular density determined with CD34 staining. Intensity of VEGF was also significantly correlated with capsule invasion. Vascular density determined with CD34 staining, however, was higher in conventional RCC, and it was correlated with tumor size and stage.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17180739     DOI: 10.1007/s11255-006-9123-4

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  26 in total

1.  Expression of vascular endothelial growth factor in renal cell carcinomas.

Authors:  V Paradis; N B Lagha; L Zeimoura; P Blanchet; P Eschwege; N Ba; G Benoît; A Jardin; P Bedossa
Journal:  Virchows Arch       Date:  2000-04       Impact factor: 4.064

2.  Expression of different vascular endothelial markers in prostate cancer and BPH tissue: an immunohistochemical and clinical evaluation.

Authors:  Lutz Trojan; Daniel Thomas; Dorothee Friedrich; Rainer Grobholz; Thomas Knoll; Peter Alken; Maurice Stephan Michel
Journal:  Anticancer Res       Date:  2004 May-Jun       Impact factor: 2.480

Review 3.  Tumour angiogenesis and prognosis.

Authors:  S B Fox
Journal:  Histopathology       Date:  1997-03       Impact factor: 5.087

4.  Vascular endothelial growth factor as prognostic factor in renal cell carcinoma.

Authors:  J Jacobsen; T Rasmuson; K Grankvist; B Ljungberg
Journal:  J Urol       Date:  2000-01       Impact factor: 7.450

5.  Expression of vascular endothelial growth factor in renal cell carcinoma and the relation to angiogenesis and p53 protein expression.

Authors:  J S Lee; H S Kim; J J Jung; C S Park; M C Lee
Journal:  J Surg Oncol       Date:  2001-05       Impact factor: 3.454

6.  Vascular endothelial growth factor expression, angiogenesis, and necrosis in renal cell carcinomas.

Authors:  B Hemmerlein; A Kugler; R Ozisik; R H Ringert; H J Radzun; P Thelen
Journal:  Virchows Arch       Date:  2001-11       Impact factor: 4.064

7.  Tumor angiogenesis correlates with metastasis in invasive prostate carcinoma.

Authors:  N Weidner; P R Carroll; J Flax; W Blumenfeld; J Folkman
Journal:  Am J Pathol       Date:  1993-08       Impact factor: 4.307

8.  Angiogenesis, assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancer.

Authors:  E R Horak; R Leek; N Klenk; S LeJeune; K Smith; N Stuart; M Greenall; K Stepniewska; A L Harris
Journal:  Lancet       Date:  1992-11-07       Impact factor: 79.321

9.  Comparison of different immunohistochemical methods in the assessment of angiogenesis: lack of prognostic value in a group of 77 selected node-negative breast carcinomas.

Authors:  S M Siitonen; H K Haapasalo; I S Rantala; H J Helin; J J Isola
Journal:  Mod Pathol       Date:  1995-09       Impact factor: 7.842

10.  Quantification of angiogenesis in cervical cancer: a comparison among three endothelial cell markers.

Authors:  Sabas Carlos Vieira; Luiz Carlos Zeferino; Benedito Borges Da Silva; Glauce Aparecida Pinto; José Vassallo; Gislaine Aparecida Fonsechi Carasan; Natália Guimarães De Moraes
Journal:  Gynecol Oncol       Date:  2004-04       Impact factor: 5.482

View more
  8 in total

1.  Distribution of Vascular Patterns in Different Subtypes of Renal Cell Carcinoma. A Morphometric Study in Two Distinct Types of Blood Vessels.

Authors:  Amparo Ruiz-Saurí; V García-Bustos; E Granero; S Cuesta; M A Sales; V Marcos; A Llombart-Bosch
Journal:  Pathol Oncol Res       Date:  2017-07-01       Impact factor: 3.201

Review 2.  Recurrence of Epithelioid Hemangioendothelioma during Pregnancy: Case Report and Systematic Review.

Authors:  Michael Mcculloch; Michael Russin; Arian Nachat
Journal:  Perm J       Date:  2016-07-25

Review 3.  Prognostic role of microvessel density in patients with renal cell carcinoma: a meta-analysis.

Authors:  Si-Hang Cheng; Jia-Ming Liu; Qin-Yu Liu; De-Yi Luo; Bang-Hua Liao; Hong Li; Kun-Jie Wang
Journal:  Int J Clin Exp Pathol       Date:  2014-08-15

4.  Age-related properties of the tumour vasculature in renal cell carcinoma.

Authors:  Brian Meehan; Sree Appu; Brad St Croix; Krystyna Rak-Poznanska; Laurence Klotz; Janusz Rak
Journal:  BJU Int       Date:  2010-08-27       Impact factor: 5.588

5.  Microvessel density is high in clear-cell renal cell carcinomas of Ukrainian patients exposed to chronic persistent low-dose ionizing radiation after the Chernobyl accident.

Authors:  A M Romanenko; A Ruiz-Saurí; L Morell-Quadreny; G Valencia; A F Vozianov; A Llombart-Bosch
Journal:  Virchows Arch       Date:  2012-05-13       Impact factor: 4.064

6.  Analysis of various potential prognostic markers and survival data in clear cell renal cell carcinoma.

Authors:  Tastekin Ebru; Oz Puyan Fulya; Akdere Hakan; Yurut-Caloglu Vuslat; Sut Necdet; Can Nuray; Ozyilmaz Filiz
Journal:  Int Braz J Urol       Date:  2017 May-Jun       Impact factor: 1.541

7.  Vascularity of primary and metastatic renal cell carcinoma specimens.

Authors:  Saadia A Aziz; Joshua Sznol; Adebowale Adeniran; John W Colberg; Robert L Camp; Harriet M Kluger
Journal:  J Transl Med       Date:  2013-01-14       Impact factor: 5.531

8.  Analyses of potential predictive markers and survival data for a response to sunitinib in patients with metastatic renal cell carcinoma.

Authors:  Juana Dornbusch; Aristeidis Zacharis; Matthias Meinhardt; Kati Erdmann; Ingmar Wolff; Michael Froehner; Manfred P Wirth; Stefan Zastrow; Susanne Fuessel
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.