PML protein expression is frequently lost in human cancers of various histologic origins, and its loss associates with tumor grade and progression in some tumor histotypes.

We present a study of image features for cancer diagnosis and Gleason grading of the histological images of prostate. In diagnosis, the tissue image is classified into the tumor and nontumor classes. In Gleason grading, which characterizes tumor aggressiveness, the image is classified as containing a low- or high-grade tumor. The image sets used in this paper consisted of 367 and 268 color images for the diagnosis and Gleason grading problems, respectively, and were captured from representative areas of hematoxylin and eosin-stained tissue retrieved from tissue microarray cores or whole sections. The primary contribution of this paper is to aggregate color, texture, and morphometric cues at the global and histological object levels for classification. Features representing different visual cues were combined in a supervised learning framework. We compared the performance of Gaussian, k-nearest neighbor, and support vector machine classifiers together with the sequential forward feature selection algorithm. On diagnosis, using a five-fold cross-validation estimate, an accuracy of 96.7% was obtained. On Gleason grading, the achieved accuracy of classification into low- and high-grade classes was 81.0%.

A nomogram derived from pretreatment parameters that are measured on a routine basis was constructed. It can be used to predict the median, 1-year, and 2-year survival of patients with progressive castrate metastatic disease with reasonable accuracy. The information is useful to assess prognosis, guide treatment selection, and design clinical trials.

p63, a member of the p53 gene family, encodes multiple proteins that may either transactivate p53 responsive genes (TAp63) or act as a dominant-negative factor toward p53 and p73 (Delta Np63). p63 is expressed in many epithelial compartments and p63(-/-) mice fail to develop skin, prostate, and mammary glands among other defects. It has been previously shown that p63 is expressed in normal urothelium. This study reports that p63 is regulated in bladder carcinogenesis and that p63 expression is lost in most invasive cancers whereas papillary superficial tumors maintain p63 expression. Examination of bladder carcinoma cell lines reveals that certain lines derived from invasive carcinomas maintain expression of Delta Np63, as demonstrated by both immunoblotting and confirmed by isoform-specific quantitative reverse transcriptase-polymerase chain reaction. Another novel finding reported in this study is the fact that p63(-/-) mice develop a bladder mucosa epithelial layer yet fail to complete uroepithelial differentiation, producing a nontransitional default cuboidal epithelium. These data indicate that in contrast to the skin and prostate, p63 is not required for formation of a bladder epithelium but is indispensable for the specific differentiation of a transitional urothelium.

Second-line chemotherapy followed by high-dose therapy (HDT) with autologous stem cell transplantation (ASCT) cures less than half of the patients with relapsed or refractory diffuse large B-cell lymphoma (DLBCL). Prognostic models capable of predicting outcome are essential. In 3 sequential clinical trials, conducted from January 1993 to August 2000, we treated 150 patients with relapsed or primary refractory DLBCL with ifosfamide, carboplatin, and etoposide (ICE) chemotherapy followed by HDT/ASCT for patients with chemosensitive disease. We evaluated the age-adjusted International Prognostic Index at the initiation of second-line therapy (sAAIPI) as a predictor of progression-free survival (PFS) and overall survival (OS). At a median follow-up of 4 years, the PFS and OS are 28% and 34% by intention to treat and 39% and 45% for only those patients with chemosensitive disease. Three risk groups with different PFS and OS were identified by the sAAIPI: low risk (0 factors), 70% and 74%; intermediate risk (1 factor), 39% and 49%; and high risk (2 or 3 factors), 16% and 18% (P < .001 for both PFS and OS). The sAAIPI also predicts the PFS and OS for patients with ICEchemosensitive disease: low risk, 69% and 83%; intermediate risk, 46% and 55%; and high risk, 25% and 26% (P < .001 PFS and OS). The sAAIPI predicts outcome for patients with relapsed or primary refractory DLBCL in both intent-to-treat and chemosensitive populations. This powerful prognostic instrument should be used to evaluate new treatment approaches and to compare results of different regi-