Literature DB >> 7881466

Biometric assessment of prostate cancer's metastatic potential.

C R Cooper1, N Emmett, S Harris-Hooker, R Patterson, D B Cooke.   

Abstract

Currently, no protocol exists that can assess the metastatic potential of prostate adenocarcinoma. The reason for this is partly due to the lack of information on cellular changes that result in a tumor cell's becoming metastatic. In this investigation, attempts were made to devise a method that correlated with the metastatic potential of AT-1, Mat-Lu, and Mat-LyLu cell lines of the Dunning R-3327 rat prostatic adenocarcinoma system. To accomplish this, we applied BioQuant biometric parameters, i.e., area, shape factor, and cell motility. AT-1 had a lower shape factor and a greater area as compared with the more highly metastatic Mat-Lu subline. No significant difference in area or shape factor was detected between the AT-1 cell line and the highly metastatic Mat-LyLu line. However, the lowly metastatic AT-1 line had less motility as compared with the Mat-Lu and Mat-LyLu lines. This study revealed that metastatic potential could be partially predicted via area and shape factor and accurately predicted via cell motility.

Entities:  

Mesh:

Year:  1994        PMID: 7881466     DOI: 10.1007/bf00184108

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  16 in total

1.  PROSTATE CANCER IN THE RAT.

Authors:  W F DUNNING
Journal:  Natl Cancer Inst Monogr       Date:  1963-10

2.  Prediction of metastatic potential in an animal model of prostate cancer: flow cytometric quantification of cell surface charge.

Authors:  H B Carter; A W Partin; D S Coffey
Journal:  J Urol       Date:  1989-11       Impact factor: 7.450

3.  Influence of low density lipoproteins on vascular smooth muscle cell growth and motility: modulation by extracellular matrix.

Authors:  S Harris-Hooker; G L Sanford; V Montgomery; R Rivers; N Emmett
Journal:  Cell Biol Int Rep       Date:  1992-05

Review 4.  Tumor interactions with the vasculature: angiogenesis and tumor metastasis.

Authors:  C H Blood; B R Zetter
Journal:  Biochim Biophys Acta       Date:  1990-06-01

5.  Fourier analysis of cell motility: correlation of motility with metastatic potential.

Authors:  A W Partin; J S Schoeniger; J L Mohler; D S Coffey
Journal:  Proc Natl Acad Sci U S A       Date:  1989-02       Impact factor: 11.205

6.  Intermediate filament expression and the progression of prostatic cancer as studied in the Dunning R-3327 rat prostatic carcinoma system.

Authors:  F C Ramaekers; A P Verhagen; J T Isaacs; W F Feitz; O Moesker; G Schaart; J A Schalken; G P Vooijs
Journal:  Prostate       Date:  1989       Impact factor: 4.104

7.  Prediction of metastatic potential by a new grading system of cell motility: validation in the Dunning R-3327 prostatic adenocarcinoma model.

Authors:  J L Mohler; A W Partin; D S Coffey
Journal:  J Urol       Date:  1987-07       Impact factor: 7.450

8.  Cancer cell invasion and metastasis.

Authors:  L A Liotta
Journal:  Sci Am       Date:  1992-02       Impact factor: 2.142

9.  Actin filament organization of the Dunning R3327 rat prostatic adenocarcinoma system: correlation with metastatic potential.

Authors:  J M Zachary; G Cleveland; L Kwock; T Lawrence; R M Weissman; L Nabell; F A Fried; E V Staab; M A Risinger; S Lin
Journal:  Cancer Res       Date:  1986-02       Impact factor: 12.701

10.  Metastatic potential prediction by a visual grading system of cell motility: prospective validation in the Dunning R-3327 prostatic adenocarcinoma model.

Authors:  J L Mohler; A W Partin; J T Isaacs; D S Coffey
Journal:  Cancer Res       Date:  1988-08-01       Impact factor: 12.701

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