Grade and stage at presentation do not predict mortality in patients with bladder cancer who survive their disease.

PURPOSE: Our goal was to determine whether presenting grade and stage of bladder cancer (BC), which directly affect disease-specific survival, also influence time to and cause of non-BC deaths. METHODS: Histology slides of all men who lived in Wisconsin age > or = 50 years diagnosed with BC in 1988 were reviewed centrally, and time and cause of death as reported to the state's tumor registry were recorded. Competing risks analyses based on grade, tumor stage, and age at diagnosis were generated to correlate time and causes of death (BC or non-BC) with tumor histology and age at presentation. RESULTS: Grade-stage categories were assigned to 509 patients with BC as follows: LGN = low grade (grade 1 or 2), nonmuscle invading (stage Ta or T1); HGN = high grade (grade 3 or carcinoma in situ), nonmuscle invading (stage Ta, T1, or TIS); and INV = any grade, muscle invasive (> or = stage T2). Three hundred nine patients (60.7%) were LGN, 80 (15.7%) were HGN, and 120 (23.6%) were INV. Grade-stage category predicted overall (P = .0001) and BC-specific (P < .0001) mortality but not non-BC mortality (P = .72), with hazard ratios of 1.095 (95% CI, 0.783 to 1.531) for HGN versus LGN, 1.137 (95% CI, 0.799 to 1.617) for INV versus LGN, and 1.038 (95% CI, 0.670 to 1.607) for INV versus HGN. Age had a highly significant effect on overall and non-BC deaths (P < .0001) but only marginally predicted BC deaths (P = .054). Time to non-BC death did not differ significantly between grade-stage category (P = .12) or cause of death (P = .81). CONCLUSION: Grade-stage category at diagnosis predicts overall and BC mortality but not mortality from other causes. Thus, particularly for INV disease, because BC represents the major threat to life, aggressive therapies that have been shown to be effective are justified.

Long-term outcome of hematuria home screening for bladder cancer in men.

BACKGROUND: The objectives of this study were to determine whether bladder cancer (BC) screening in healthy men could lead to earlier detection and reduced BC mortality compared with unscreened men and to determine long-term outcomes of a geographically defined, unscreened population with newly diagnosed BC. METHODS: In 1987 and from 1998 to 1992, 1575 men ages 50 years and older who were solicited from well patient rosters in clinics in and around Madison, Wisconsin, tested their urine repetitively with a chemical reagent strip for hemoglobin. Participants who had positive test results underwent standard urologic evaluation. BC grades and stages and the outcomes of men with BC detected by screening were compared with the grades, stages, and outcomes of 87% of men ages 50 years and older with newly diagnosed BC who were reported to the Wisconsin Tumor Registry in 1988 (n = 509 men). RESULTS: Two hundred fifty-eight screening participants (16.4%) were evaluated for hematuria, and 21 participants (8.1%) were diagnosed with BC. Proportions of low-grade (Grade 1 and 2) superficial (Stage Ta and T1) versus high-grade (Grade 3) superficial or invasive (Stage > or = T2) cancers in screened men (52.4% vs. 47.7%) and in men from the tumor registry (60.3% vs. 39.7%) were similar (P = .50). The proportion of high-grade superficial or invasive BCs that were invasive were lower in screened men (10%) than in unscreened men (60%; P = .002). At 14 years of follow-up, no men with screen-detected BC had died of BC, whereas 20.4% of men with unscreened BC had died of BC (P = .02). CONCLUSIONS: Screening effected the early detection of BC and may reduce mortality from BC compared with BC that is diagnosed at standard clinical presentation.

Monte Carlo-based inverse model for calculating tissue optical properties. Part II: Application to breast cancer diagnosis.

The Monte Carlo-based inverse model of diffuse reflectance described in part I of this pair of companion papers was applied to the diffuse reflectance spectra of a set of 17 malignant and 24 normal-benign ex vivo human breast tissue samples. This model allows extraction of physically meaningful tissue parameters, which include the concentration of absorbers and the size and density of scatterers present in tissue. It was assumed that intrinsic absorption could be attributed to oxygenated and deoxygenated hemoglobin and beta-carotene, that scattering could be modeled by spheres of a uniform size distribution, and that the refractive indices of the spheres and the surrounding medium are known. The tissue diffuse reflectance spectra were evaluated over a wavelength range of 400-600 nm. The extracted parameters that showed the statistically most significant differences between malignant and nonmalignant breast tissues were hemoglobin saturation and the mean reduced scattering coefficient. Malignant tissues showed decreased hemoglobin saturation and an increased mean reduced scattering coefficient compared with nonmalignant tissues. A support vector machine classification algorithm was then used to classify a sample as malignant or nonmalignant based on these two extracted parameters and produced a cross-validated sensitivity and specificity of 82% and 92%, respectively.

Cytokeratin is a superior marker for detection of micrometastatic biliary tract carcinoma.

BACKGROUND: The incidence of lymph node micrometastases in patients with biliary tract carcinoma is unknown. We evaluated the utility of three antibodies for immunohistochemical (IHC) detection of micrometastatic disease in patients with gallbladder and bile duct carcinoma. MATERIALS AND METHODS: Surgical specimens from 35 patients with biliary tract carcinoma were evaluated. Histologically involved tissues were stained with the following antibodies using standard IHC techniques: cytokeratin (AE1:AE3), CEA (carcinoembryonic antigen), and EMA (epithelial membrane antigen). The antibodies with the greatest degree of positive staining were then used to evaluate the lymph nodes of patients with histologically negative lymph nodes. Micrometastatic disease was defined as clustered atypical cells <2 mm in size detected only with the use of IHC. RESULTS: All of the primary tumors and histologically positive lymph nodes demonstrated staining with cytokeratin and CEA antibodies, whereas only 83% were positive for EMA. Therefore, cytokeratin and CEA antibodies were used to evaluate histologically negative lymph nodes. Anti-cytokeratin immunostaining detected micrometastatic disease in two patients. Staining with anti-CEA was negative in all specimens. Overall, two of 15 patients with histologically node negative biliary tract carcinoma had occult micrometastases. CONCLUSION: Cytokeratin immunostaining enables detection of micrometastases in histologically negative lymph nodes in patients with biliary tract carcinoma. Prospective protocols incorporating cytokeratin staining of the lymph nodes may help determine the incidence and clinical significance of occult micrometastatic disease in these patients.

Autofluorescence and diffuse reflectance properties of malignant and benign breast tissues.

BACKGROUND: Fluorescence spectroscopy is an evolving technology that can rapidly differentiate between benign and malignant tissues. These differences are thought to be due to endogenous fluorophores, including nicotinamide adenine dinucleotide, flavin adenine dinucleotide, and tryptophan, and absorbers such as beta-carotene and hemoglobin. We hypothesized that a statistically significant difference would be demonstrated between benign and malignant breast tissues on the basis of their unique fluorescence and reflectance properties. METHODS: Optical measurements were performed on 56 samples of tumor or benign breast tissue. Autofluorescence spectra were measured at excitation wavelengths ranging from 300 to 460 nm, and diffuse reflectance was measured between 300 and 600 nm. Principal component analysis to dimensionally reduce the spectral data and a Wilcoxon ranked sum test were used to determine which wavelengths showed statistically significant differences. A support vector machine algorithm compared classification results with the histological diagnosis (gold standard). RESULTS: Several excitation wavelengths and diffuse reflectance spectra showed significant differences between tumor and benign tissues. By using the support vector machine algorithm to incorporate relevant spectral differences, a sensitivity of 70.0% and specificity of 91.7% were achieved. CONCLUSIONS: A statistically significant difference was demonstrated in the diffuse reflectance and fluorescence emission spectra of benign and malignant breast tissue. These differences could be exploited in the development of adjuncts to diagnostic and surgical procedures.

Comparison of multiexcitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer (March 2003).

Nonmalignant (n = 36) and malignant (n = 20) tissue samples were obtained from breast cancer and breast reduction surgeries. These tissues were characterized using multiple excitation wavelength fluorescence spectroscopy and diffuse reflectance spectroscopy in the ultraviolet-visible wavelength range, immediately after excision. Spectra were then analyzed using principal component analysis (PCA) as a data reduction technique. PCA was performed on each fluorescence spectrum, as well as on the diffuse reflectance spectrum individually, to establish a set of principal components for each spectrum. A Wilcoxon rank-sum test was used to determine which principal components show statistically significant differences between malignant and nonmalignant tissues. Finally, a support vector machine (SVM) algorithm was utilized to classify the samples based on the diagnostically useful principal components. Cross-validation of this nonparametric algorithm was carried out to determine its classification accuracy in an unbiased manner. Multiexcitation fluorescence spectroscopy was successful in discriminating malignant and nonmalignant tissues, with a sensitivity and specificity of 70% and 92%, respectively. The sensitivity (30%) and specificity (78%) of diffuse reflectance spectroscopy alone was significantly lower. Combining fluorescence and diffuse reflectance spectra did not improve the classification accuracy of an algorithm based on fluorescence spectra alone. The fluorescence excitation-emission wavelengths identified as being diagnostic from the PCA-SVM algorithm suggest that the important fluorophores for breast cancer diagnosis are most likely tryptophan, NAD(P)H and flavoproteins.

Prolactin induces ERalpha-positive and ERalpha-negative mammary cancer in transgenic mice.

The role of prolactin in human breast cancer has been controversial. However, it is now apparent that human mammary epithelial cells can synthesize prolactin endogenously, permitting autocrine/paracrine actions within the mammary gland that are independent of pituitary prolactin. To model this local mammary production of prolactin (PRL), we have generated mice that overexpress prolactin within mammary epithelial cells under the control of a hormonally nonresponsive promoter, neu-related lipocalin (NRL). In each of the two examined NRL-PRL transgenic mouse lineages, female virgin mice display mammary developmental abnormalities, mammary intraepithelial neoplasias, and invasive neoplasms. Prolactin increases proliferation in morphologically normal alveoli and ducts, as well as in lesions. The tumors are of varied histotype, but papillary adenocarcinomas and adenosquamous neoplasms predominate. Neoplasms can be separated into two populations: one is estrogen receptor alpha (ERalpha) positive (greater than 15% of the cells stain for ERalpha), and the other is ERalpha- (<3%). ERalpha expression does not correlate with tumor histotype, or proliferative or apoptotic indices. These studies provide a mouse model of hormonally dependent breast cancer, and, perhaps most strikingly, a model in which some neoplasms retain ERalpha, as occurs in the human disease.

Strain background alters mammary gland lesion phenotype in transforming growth factor-alpha transgenic mice.

Whey acidic protein (WAP)-transforming growth factor (TGF)-alpha transgenic mice acquire both cancerous and noncancerous mammary lesions. For this study, we evaluated the effect of mouse strain background on the incidence, latency, and histotype of two noncancerous lesions, hyperplastic alveolar nodules (analogous to typical hyperplasias in women), and macrocysts. These lesions display characteristics of fibrocystic changes observed in breasts of women, and in both mice and humans are associated with an uncertain risk of progression to neoplasia. Virgin transgenic mice of the (C57BL/6J;SJL)F2 background developed very few hyperplastic alveolar nodules and no macrocysts. In contrast, when the WAP-TGF-alpha transgene was carried on the FVB/N strain, congenic virgin transgenic mice acquired both lesion types with approximately 100% penetrance. In the (FVB;C57BL/6J)F1 background, hyperplastic alveolar nodule incidence was reduced to approximately the nontransgenic mouse level, and macrocyst latency was increased dramatically. Crossing into C57BL/6 resulted in elimination of the macrocyst phenotype. Finally, FVB strain transgenic mammary epithelium transplanted into nontransgenic recipients of the FVB/N or (FVB;C57BL/6J)F1 backgrounds displayed macrocyst latency characteristic of the recipient, and not donor, mouse strain. Quantitative real-time polymerase chain reaction analysis demonstrated that, despite the difference in macrocyst incidence between (FVB;C57BL/6J)F1 and C57BL/6 virgin transgenic mice (81% versus 0%), the level of TGF-alpha expression was not different. FVB strain transgenic mice expressed only twofold more TGF-alpha than the other backgrounds. These findings indicate that C57BL/6J modifier alleles inhibit mammary lesion incidence and macrocyst latency in a semidominant manner, and that suppression of lesion development can involve host factors that are independent of mammary epithelial genotype.

The role of p53 in radiation therapy outcomes for favorable-to-intermediate-risk prostate cancer.

PURPOSE: Some prostate cancers may have molecular alterations that render them less responsive to radiation therapy; identification of these alterations before treatment might allow improved treatment optimization. This study investigated whether p53, a potential molecular determinant, could predict long-term radiation therapy outcome in a restricted group of relatively favorable-risk prostate cancer patients treated uniformly with irradiation alone. METHODS AND MATERIALS: This study included 53 patients previously treated with radiotherapy for favorable-to-intermediate-risk prostate cancer. These patients were selected for relatively low pretreatment PSAs (< or =21 ng/mL) and Gleason scores (< or =7) to decrease the likelihood of nonlocalized disease, because disease localization was necessary to examine the efficacy of localized radiation therapy. The status of p53 was immunohistochemically assessed in paraffin-embedded pretreatment biopsy specimens, along with appropriate controls. This marker was selected based upon a usable mutation prevalence in early-stage prostate cancer and its potential linkage with radiation response via cell cycle, DNA repair, and cell death pathways. Correlation between p53 mutation and clinical outcome was analyzed in univariate and multivariate fashion and included conventional prognosticators, such as stage, grade, and PSA. Freedom from biochemical failure was determined using American Society for Therapeutic Radiology and Oncology criteria. Limitations of prior studies were potentially avoided by requiring adequate posttreatment follow-up (median follow-up in nonfailing patients of 5.1 years), as well as pretreatment PSA and Gleason scores that suggested localized disease, and uniformity of treatment. RESULTS: The total group of 53 favorable-to-intermediate-risk patients demonstrated an actuarial biochemical failure rate of 35% at 5 years. Forty percent of all specimens had a greater than 10% labeling index for p53 mutation, and actuarial biochemical control was found to strongly and independently correlate with p53 status. Patients with higher p53 labeling indices demonstrated significantly higher PSA failure rates (p < 0.001). In contrast, p53 status did not correlate with pretreatment PSA, grade, or tumor stage. Similarly, pretreatment PSA (log-rank 0.22), Gleason score (log-rank 0.93), and T stage (log-rank 0.15) were not prognostic for outcome in this group of patients selected for their relatively favorable clinical characteristics. CONCLUSIONS: (1) p53 status in pretreatment biopsies strongly predicted for long-term biochemical control after radiation therapy in favorable-to-intermediate-risk prostate cancer patients. (2) If validated in other independent clinical data sets, p53 status should be considered as a stratification factor in future clinical trials and could be useful in guiding treatment. Abnormal p53 status might favor surgical management, aggressive dose escalation, or p53-targeted therapy.