Statistical characterization and development of summary measures of non-normal distributions of nuclear morphometry data from prostate cancer cells for use as prognostic indicators

Nuclear morphometry (NM) uses image analysis to measure features of the cell nucleus which are classified as: bulk properties, shape or form, and DNA distribution. Studies have used these measurements as diagnostic and prognostic indicators of disease with inconclusive results. The distributional properties of these variables have not been systematically investigated although much of the medical data exhibit nonnormal distributions. Measurements are done on several hundred cells per patient so summary measurements reflecting the underlying distribution are needed.^ Distributional characteristics of 34 NM variables from prostate cancer cells were investigated using graphical and analytical techniques. Cells per sample ranged from 52 to 458. A small sample of patients with benign prostatic hyperplasia (BPH), representing non-cancer cells, was used for general comparison with the cancer cells.^ Data transformations such as log, square root and 1/x did not yield normality as measured by the Shapiro-Wilks test for normality. A modulus transformation, used for distributions having abnormal kurtosis values, also did not produce normality.^ Kernel density histograms of the 34 variables exhibited non-normality and 18 variables also exhibited bimodality. A bimodality coefficient was calculated and 3 variables: DNA concentration, shape and elongation, showed the strongest evidence of bimodality and were studied further.^ Two analytical approaches were used to obtain a summary measure for each variable for each patient: cluster analysis to determine significant clusters and a mixture model analysis using a two component model having a Gaussian distribution with equal variances. The mixture component parameters were used to bootstrap the log likelihood ratio to determine the significant number of components, 1 or 2. These summary measures were used as predictors of disease severity in several proportional odds logistic regression models. The disease severity scale had 5 levels and was constructed of 3 components: extracapsulary penetration (ECP), lymph node involvement (LN+) and seminal vesicle involvement (SV+) which represent surrogate measures of prognosis. The summary measures were not strong predictors of disease severity. There was some indication from the mixture model results that there were changes in mean levels and proportions of the components in the lower severity levels. ^

Development of prostate cancer gene therapy

Osseous metastases account for most of the morbidity and mortality associated with prostate cancer, for which there are currently no effective therapies. In the skeletal metastatic environment, neoplastic prostatic epithelial cells interact in a bidirectional stimulatory manner with osteoblastic stromal cells. Similarly, the presence of osteoblastic cells is essential for the survival and maintenance of intraosseous prostate cancer cells. In this thesis, I have developed novel gene therapy strategies for the treatment of androgen-independent human prostate cancers in experimental animal models. First, Ad-CMV-p53, a recombinant adenovirus (Ad) containing p53 tumor suppressor gene driven by the universal cytomegalovirus promoter, was effective in inhibiting prostate cancer cell growth, and direct intratumoral injections of Ad-CMV-p53 resulted in tumor regression. Second, because prostate cancer cells as well as osteoblastic cells produce osteocalcin (OC), OC promoter mediated tissue/tumor specific toxic gene therapy is developed to interrupt stromal-epithelial communications by targeting both cell types. Ad-OC-TK, a recombinant Ad containing the herpes simplex virus thymidine kinase (TK) gene driven by the OC promoter, was generated to inhibit the growth of osteoblastic osteosarcoma with prodrug acyclovir (ACV). Ad-OC-TK/ACV also inhibited the growth of prostate cancer cells and suppressed the growth of subcutaneous and intraosseous prostate tumor. In order to combine treatment modalities to maximize tumor cell-kill with minimized host toxicities, Ad-OC-TK/ACV was applied in combination with low dose methotrexate to eradicate osteoblastic osteosarcoma. In targeting of micrometastatic disease, intravenous Ad-OC-TK/ACV treatment resulted in significant tumor nodule reduction and prolonged the survival of animals harboring osteosarcoma lung metastases without significant host toxicity. Ad-OC-TK is a rational choice for the treatment of prostate cancer skeletal metastasis because OC is uniformly detected in both primary and metastatic human prostate cancer specimens by immunohistochemistry. Ad-OC-TK/ACV inhibits the growth not only of prostate cancer cells but also of their supporting bone stromal cells. Targeting both prostate cancer epithelium and its supporting stroma may be most efficacious for the treatment of prostate cancer osseous metastases. ^