Cathepsin D and epidermal growth factor receptor immunohistochemistry does not predict recurrence of prostate cancer in patients undergoing radical prostatectomy.

PURPOSE: We determined if immunohistochemical expression of the epidermal growth factor receptor and cathepsin D in the primary tumor was of prognostic value in clinically localized prostate cancer after radical prostatectomy. MATERIALS AND METHODS: Immunohistochemical staining for epidermal growth factor receptor and cathepsin D was performed on 105 radical prostatectomy specimens from 2 academic centers. The epidermal growth factor receptor and cathepsin D expressions were graded using H scoring by an experienced pathologist blinded to other patient data, and compared with age, grade, stage, race and initial serologic (prostate specific antigen) recurrence. Univariate and multivariate statistical testing was performed. RESULTS: Immunohistochemically detectable epidermal growth factor receptor and cathepsin D expression was not correlated to age, race, stage or Gleason grade. In univariate and multivariate testing epidermal growth factor receptor and cathepsin D were not prognostic markers for disease progression following radical prostatectomy. CONCLUSIONS: Immunohistochemical analysis of the biomarkers cathepsin D and epidermal growth factor receptor in radical prostatectomy specimens does not predict disease recurrence. Further biological marker study is needed in clinically localized prostate cancer.

Neural network analysis of quantitative histological factors to predict pathological stage in clinical stage I nonseminomatous testicular cancer.

A great deal of controversy exists in staging clinical stage I (CSI) nonseminomatous testicular germ cell tumors (NSGCT) because of the difficulty of distinguishing true stage I patients from those with occult retroperitoneal or distant metastases. The goal of this study was to quantitate primary tumor histologic factors and to apply these in a neural network computer analysis to determine if more accurate staging could be achieved. All available primary tumor histological slides from 93 CSI NSGCT patients were analyzed for vascular invasion (VI), lymphatic invasion (LI), tunical invasion (TI) and quantitative determination of percentage of the primary tumor composed of embryonal carcinoma (%EMB), yolk sac carcinoma (%YS), teratoma (%TER) and seminoma (%SEM). These patients had undergone retroperitoneal lymphadenectomy or follow-up such that final stage included 55 pathologic stage I and 38 stage II or higher lesions. Two investigators were provided identical datasets for neural network analysis; one experienced researcher used custom Kohonen and back propagation programs and one less experienced researcher used a commercially available program. For each experiment, a subset of data was used for training, and subsets were blindly used to test the accuracy of the networks. In the custom back propagation network, 86 of 93 patients were correctly staged for an overall accuracy of 92% (sensitivity 88%, specificity 96%). Using Neural Ware commercial software 74 of 93 (79.6%) were accurately staged when all 7 input variables were used; however, accuracy improved from 84.9 to 87.1% when 2, 4 and 5 of the variables were used. Quantitative histologic assessment of the primary tumor and neural network processing of data may provide clinically useful information in the CSI NSGCT population; however, the expertise of the network researcher appears to be important, and commercial software in general use may not be superior to standard regression analysis. Prospective testing of expert methodology should be instituted to confirm its utility.