Literature DB >> 7507798

Predictors of pathologic stage in prostatic carcinoma. The role of neovascularity.

M K Brawer1, R E Deering, M Brown, S D Preston, S A Bigler.   

Abstract

BACKGROUND: Prostate adenocarcinoma is a significant cause of morbidity and mortality in older men. However, the histologic prevalence far exceeds clinically manifest disease. Increased screening has resulted in the detection of a large number of carcinomas of unknown malignant potential. The authors investigated tumor angiogenesis to predict pathologic stage in prostatic tumors. Angiogenesis in prostatic intraepithelial neoplasia (PIN), a putative premalignant lesion, also was investigated.
METHODS: Immunohistochemistry was used to highlight the tumor vasculature. Vessels were quantified using computerized image analysis. A minimum of five randomly selected microscopic fields were measured from each tumor. To investigate PIN, the authors measured vessels per millimeter of gland perimeter, compared with benign glands in the same patient.
RESULTS: Vessel density (vessels per millimeter squared [vv/mm2]) correlated with pathologic stage. The mean vessel density of organ-confined tumors was 80.2 vv/mm2 (95% confidence interval [CI], 71.4-91.0), compared with 110.4 vv/mm2 (95% CI, 97.9-122.8) for tumors with capsular penetration or positive lymph nodes. Logistic regression analysis and modeling showed vessel density superior to histologic grade and preoperative prostate-specific antigen (PSA) level in distinguishing organ-confined tumors from those having extracapsular extension or pelvic lymph node metastasis. PIN in acini and ductules had increased microvascularity relative to benign epithelium in 18 of 25 tumors (P < 0.05).
CONCLUSIONS: Neovascularity has been demonstrated to be a prerequisite for tumor progression. These data demonstrate that microvessel density in prostatic carcinoma is an independent predictor of pathologic stage and, presumably, malignant potential. Quantification of tumor angiogenesis may allow stratification of patients to type of treatment and may allow selection of expectant management for men with low tumor microvessel density.

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Year:  1994        PMID: 7507798     DOI: 10.1002/1097-0142(19940201)73:3<678::aid-cncr2820730329>3.0.co;2-6

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  64 in total

1.  Fully automated microvessel counting and hot spot selection by image processing of whole tumour sections in invasive breast cancer.

Authors:  J A Beliën; S Somi; J S de Jong; P J van Diest; J P Baak
Journal:  J Clin Pathol       Date:  1999-03       Impact factor: 3.411

2.  Incidental prostatic carcinoma. A predictive role of neoangiogenesis and comparison with other prognostic factors.

Authors:  M Volavsek; A Masera; Z Ovcak
Journal:  Pathol Oncol Res       Date:  2000       Impact factor: 3.201

3.  Optoacoustic imaging of the prostate: development toward image-guided biopsy.

Authors:  Mohammad A Yaseen; Sergey A Ermilov; Hans-Peter Brecht; Richard Su; André Conjusteau; Matthew Fronheiser; Brent A Bell; Massoud Motamedi; Alexander A Oraevsky
Journal:  J Biomed Opt       Date:  2010 Mar-Apr       Impact factor: 3.170

4.  Dynamic contrast-enhanced MRI of the prostate: is this the way to proceed for characterization of prostatic carcinoma?

Authors:  R H Oyen
Journal:  Eur Radiol       Date:  2003-05       Impact factor: 5.315

5.  Contrast-enhanced ultrasound imaging of prostate cancer.

Authors:  Ethan J Halpern
Journal:  Rev Urol       Date:  2006

Review 6.  Image-guided robotic interventions for prostate cancer.

Authors:  Ashwin N Sridhar; Archie Hughes-Hallett; Erik K Mayer; Philip J Pratt; Philip J Edwards; Guang-Zhong Yang; Ara W Darzi; Justin A Vale
Journal:  Nat Rev Urol       Date:  2013-06-18       Impact factor: 14.432

7.  On the relationship between microbubble fragmentation, deflation and broadband superharmonic signal production.

Authors:  Brooks D Lindsey; Juan D Rojas; Paul A Dayton
Journal:  Ultrasound Med Biol       Date:  2015-03-09       Impact factor: 2.998

8.  The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach.

Authors:  B Nicolas Bloch; Robert E Lenkinski; Neil M Rofsky
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

9.  Tumor angiogenesis in advanced stage ovarian carcinoma.

Authors:  H C Hollingsworth; E C Kohn; S M Steinberg; M L Rothenberg; M J Merino
Journal:  Am J Pathol       Date:  1995-07       Impact factor: 4.307

10.  Effects of TRPM8 on the proliferation and angiogenesis of prostate cancer PC-3 cells in vivo.

Authors:  Guangbin Zhu; Xinghuan Wang; Zhonghua Yang; Hong Cao; Zhe Meng; Yongzhi Wang; Dong Chen
Journal:  Oncol Lett       Date:  2011-09-02       Impact factor: 2.967

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