Literature DB >> 19554512

Breast carcinoma vascularity: a comparison of manual microvessel count and Chalkley count.

Hari Prasad Dhakal1, Assia Bassarova, Bjørn Naume, Marit Synnestvedt, Elin Borgen, Rolf Kaaresen, Ellen Schlichting, Gro Wiedswang, Karl-Erik Giercksky, Jahn M Nesland.   

Abstract

Manual counting of microvessels as intratumoral microvessel density (MVD) and Chalkley counting have been used in several studies to assess the prognostic impact of vascularity in invasive breast carcinomas. In our present study, the aim was to evaluate the prognostic value of angiogenesis in invasive breast carcinoma assessed by MVD and Chalkley techniques in the same series of patients. A total of 498 breast carcinoma patients with median follow up time 85 months were evaluated. The tumour vascularity was quantified by both manual microvessel count (MVD) and Chalkley count in CD34 stained breast carcinoma slides by a single investigator blinded to clinical information. Other relevant clinicopathological parameters were noted, including breast cancer related death and both loco-regional and systemic relapse. The patients were stratified by converting MVD and Chalkley counts to categorical variables to assess prognostic impact, and results were compared. High vascular grades using MVD count did not demonstrate any prognostic significance for breast cancer specific survival (BCSS) or distant disease free survival (DDFS) either in whole patient group (BCSS, p=0.517, DDFS, p=0.301) or in non-treated node negative patients (p>0.05). Chalkley count showed prognostic significance for both DDFS and BCSS in whole patient group (p<0.001) and also in untreated node negative patient group (p<0.05). In multivariate analysis, Chalkley count, but not MVD, retained the prognostic value for BCSS (p=0.007) and DDFS (p=0.014). The Chalkley count for assessing angiogenesis in invasive breast carcinomas demonstrated prognostic value. The Chalkley method appears to be the better method in estimating the prognostic impact of vascularity in invasive breast carcinomas.

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Year:  2009        PMID: 19554512     DOI: 10.14670/HH-24.1049

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  8 in total

1.  Evaluation of protein pigment epithelium-derived factor (PEDF) and microvessel density (MVD) as prognostic indicators in breast cancer.

Authors:  Dan Zhou; Shao-Qiang Cheng; Hong-Fei Ji; Jin-Song Wang; Hai-Tao Xu; Guo-Qiang Zhang; Da Pang
Journal:  J Cancer Res Clin Oncol       Date:  2010-03-13       Impact factor: 4.553

2.  Two cases of breast carcinoma with osteoclastic giant cells: are the osteoclastic giant cells pro-tumoural differentiation of macrophages?

Authors:  Yukiko Shishido-Hara; Atsushi Kurata; Masachika Fujiwara; Hiroki Itoh; Shigeru Imoto; Hiroshi Kamma
Journal:  Diagn Pathol       Date:  2010-08-23       Impact factor: 2.644

3.  Expression of vimentin filaments in canine malignant mammary gland tumors: A simulation of clinicopathological features of human breast cancer.

Authors:  Sanaz Rismanchi; Orly Yadegar; Samad Muhammadnejad; Saeid Amanpour; Masoud Taghizadeh-Jahed; Ahad Muhammadnejad
Journal:  Biomed Rep       Date:  2014-07-08

4.  Digital microscopy assessment of angiogenesis in different breast cancer compartments.

Authors:  Anca Haisan; Radu Rogojanu; Camelia Croitoru; Daniela Jitaru; Cristina Tarniceriu; Mihai Danciu; Eugen Carasevici
Journal:  Biomed Res Int       Date:  2013-09-01       Impact factor: 3.411

5.  Breast Tumor Angiogenesis and Tumor-Associated Macrophages: Histopathologist's Perspective.

Authors:  Ewe Seng Ch'ng; Hasnan Jaafar; Sharifah Emilia Tuan Sharif
Journal:  Patholog Res Int       Date:  2011-06-15

6.  The association between expressions of Ras and CD68 in the angiogenesis of breast cancers.

Authors:  Wei Li; Rong-Rui Liang; Chong Zhou; Meng-Yao Wu; Lian Lian; Gao-Feng Yuan; Ming-Yun Wang; Xin Xie; Liu-Mei Shou; Fei-Ran Gong; Kai Chen; Wei-Ming Duan; Min Tao
Journal:  Cancer Cell Int       Date:  2015-02-07       Impact factor: 5.722

7.  The clinical impact of mean vessel size and solidity in breast carcinoma patients.

Authors:  Lars Tore Gyland Mikalsen; Hari Prasad Dhakal; Øyvind S Bruland; Bjørn Naume; Elin Borgen; Jahn M Nesland; Dag Rune Olsen
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

8.  Computational Model for Tumor Oxygenation Applied to Clinical Data on Breast Tumor Hemoglobin Concentrations Suggests Vascular Dilatation and Compression.

Authors:  Michael Welter; Thierry Fredrich; Herbert Rinneberg; Heiko Rieger
Journal:  PLoS One       Date:  2016-08-22       Impact factor: 3.240

  8 in total

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