Biochemical Methods for Predicting Metastatic Ability of Prostatic Cancer Utilizing the Dunning R-3327 Rat Prostatic Adenocarcinoma System as a Model

Franklin C. Lowe, John T. Isaacs

Research output: Contribution to journalArticle

41 Scopus citations


At present, there is no established diagnostic method by which the metastatic ability of an individual prostatic cancer can be accurately predicted. Metastasis is a multistep process, the first critical step of which is invasion. Tumor invasion has been suggested to involve a variety of hydrolytic enzyme activities; therefore, the tumor levels of these activities might be indicative of the overall metastatic ability of the cancer. In order to evaluate if the quantitative levels of hydrolytic enzymes can be used to predict the metastatic ability of individual prostatic cancers, five different Dunning R-3327 rat prostatic adenocarcinoma sublines, with widely varying metastatic abilities, were assayed for the respective levels of a variety of hydrolytic enzyme activities (collagenase, trypsin-like, cathepsin B, neutral protease, N-ace-tyl-β-glucosaminidase, chymotrypsin-like, leucine aminopeptidase, elastase, and plasminogen activator). These studies demonstrated that most hydrolytic activities are not elevated when going from normal prostate to prostatic cancer. In addition, only the levels of elastase and chymotrypsin-like activity were found to be consistently higher in highly metastatic prostatic cancers than in either the normal prostate or low-metastatic prostatic cancers. It was found that, by combining the relative activities of elastase and chymotrypsin-like activity and then dividing by the relative activities of N-acetyβ-glucosaminidase, a biochemical metastatic index could be constructed which accurately reflected the respective metastatic ability of the Dunning sublines.

Original languageEnglish (US)
Pages (from-to)744-752
Number of pages9
JournalCancer Research
Issue number2
Publication statusPublished - Feb 1 1984
Externally publishedYes


ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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