Scalable deep text comprehension for Cancer surveillance on high-performance computing.

BACKGROUND: Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets. This vastly increased computational demand challenges the feasibility of conducting cutting-edge research. One solution is to distribute the vast computational workload across multiple computing cluster nodes with data parallelism algorithms. In this study, we used a High-Performance Computing environment and implemented the Downpour Stochastic Gradient Descent algorithm for data parallelism to train a Convolutional Neural Network (CNN) for the natural language processing task of information extraction from a massive dataset of cancer pathology reports. We evaluated the scalability improvements using data parallelism training and the Titan supercomputer at Oak Ridge Leadership Computing Facility. To evaluate scalability, we used different numbers of worker nodes and performed a set of experiments comparing the effects of different training batch sizes and optimizer functions. RESULTS: We found that Adadelta would consistently converge at a lower validation loss, though requiring over twice as many training epochs as the fastest converging optimizer, RMSProp. The Adam optimizer consistently achieved a close 2nd place minimum validation loss significantly faster; using a batch size of 16 and 32 allowed the network to converge in only 4.5 training epochs. CONCLUSIONS: We demonstrated that the networked training process is scalable across multiple compute nodes communicating with message passing interface while achieving higher classification accuracy compared to a traditional machine learning algorithm.

Evaluation of prediagnostic prostate-specific antigen dynamics as predictors of death from prostate cancer in patients treated conservatively.

Prostate-specific antigen (PSA) dynamics have been proposed to predict outcome in men with prostate cancer. We assessed the value of PSA velocity (PSAV) and PSA doubling time (PSADT) for predicting prostate cancer-specific mortality (PCSM) in men with clinically localized prostate cancer undergoing conservative management or early hormonal therapy. From 1990 to 1996, 2,333 patients were identified, of whom 594 had two or more PSA values before diagnosis. We examined 12 definitions for PSADT and 10 for PSAV. Because each definition required PSA measurements at particular intervals, the number of patients eligible for each definition varied from 40 to 594 and number of events from 10 to 119. Four PSAV definitions, but no PSADT, were significantly associated with PCSM after adjustment for PSA in multivariable Cox proportional hazards regression. All four could be calculated only for a proportion of events, and the enhancements in predictive accuracy associated with PSAV had very wide confidence intervals. There was no clear benefit of PSAV in men with low PSA and Gleason grade 6 or less. Although evidence that certain PSAV definitions help to predict PCSM in the cohort exist, the value of incorporating PSAV in predictive models to assist in determining eligibility for conservative management is, at best, uncertain.

Classifying cancer pathology reports with hierarchical self-attention networks.

We introduce a deep learning architecture, hierarchical self-attention networks (HiSANs), designed for classifying pathology reports and show how its unique architecture leads to a new state-of-the-art in accuracy, faster training, and clear interpretability. We evaluate performance on a corpus of 374,899 pathology reports obtained from the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program. Each pathology report is associated with five clinical classification tasks - site, laterality, behavior, histology, and grade. We compare the performance of the HiSAN against other machine learning and deep learning approaches commonly used on medical text data - Naive Bayes, logistic regression, convolutional neural networks, and hierarchical attention networks (the previous state-of-the-art). We show that HiSANs are superior to other machine learning and deep learning text classifiers in both accuracy and macro F-score across all five classification tasks. Compared to the previous state-of-the-art, hierarchical attention networks, HiSANs not only are an order of magnitude faster to train, but also achieve about 1% better relative accuracy and 5% better relative macro F-score.

12-year outcomes following permanent prostate brachytherapy in patients with clinically localized prostate cancer.

PURPOSE: We reviewed the outcomes in men treated with permanent prostate brachytherapy (PPB). MATERIAL AND METHODS: A total of 1,449 consecutive patients with a mean age of 68 years treated with PPB between 1992 and 2000 and mean pretreatment prostate specific antigen (PSA) 10.1 ng/ml were included in this study. Of the patients 55% presented with Gleason 6 tumors and 28% had Gleason 7 disease. A total of 400 patients (27%) were treated with neoadjuvant hormones and 301 (20%) were treated in combination with external radiation plus PPB. Several biochemical freedom from recurrence (BFR) definitions were determined. Statistical analysis consisted of log rank testing, Kaplan-Meier estimates and Cox regression analysis. RESULTS: Median followup was 82 months with 39 patients at risk at for 144 months. Overall and disease specific survival at 12 years was 81% and 93%, respectively. The 12-year BFR was 81%, 78%, 74% and 77% according to the American Society for Therapeutic Radiology and Oncology (ASTRO), ASTRO-Kattan, ASTRO-Last Call and Houston definitions, respectively. The 12-year ASTRO-Kattan BFR using risk stratification was 89%, 78% and 63% in patients at low, intermediate and high risk, respectively (p = 0.0001). Multivariate analysis identified the dose that 90% of the target volume received (p <0.0001), pretreatment PSA (p = 0.001), Gleason score (p = 0.002), the percent positive core biopsies (p = 0.037), clinical stage (p = 0.689), the addition of hormones (p = 0.655) and the addition of external radiation (p = 0.724) for predicting BFR-ASTRO. Five-year disease specific survival was 44% in patients with a PSA doubling time of less than 12 months vs 88% in those with a PSA doubling time of 12 months or greater (p = 0.0001). CONCLUSIONS: PPB offers acceptable 12-year BFR in patients who present with clinically localized prostate cancer. Implant dosimetry continues as an important predictor for BFR, while the addition of adjuvant therapies such as hormones and external radiation are insignificant. In patients who experience biochemical failure it appears that PSA doubling time is an important predictor of survival.

Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.

Pathology reports are a primary source of information for cancer registries which process high volumes of free-text reports annually. Information extraction and coding is a manual, labor-intensive process. In this study, we investigated deep learning and a convolutional neural network (CNN), for extracting ICD-O-3 topographic codes from a corpus of breast and lung cancer pathology reports. We performed two experiments, using a CNN and a more conventional term frequency vector approach, to assess the effects of class prevalence and inter-class transfer learning. The experiments were based on a set of 942 pathology reports with human expert annotations as the gold standard. CNN performance was compared against a more conventional term frequency vector space approach. We observed that the deep learning models consistently outperformed the conventional approaches in the class prevalence experiment, resulting in micro- and macro-F score increases of up to 0.132 and 0.226, respectively, when class labels were well populated. Specifically, the best performing CNN achieved a micro-F score of 0.722 over 12 ICD-O-3 topography codes. Transfer learning provided a consistent but modest performance boost for the deep learning methods but trends were contingent on the CNN method and cancer site. These encouraging results demonstrate the potential of deep learning for automated abstraction of pathology reports.

Hierarchical attention networks for information extraction from cancer pathology reports.

OBJECTIVE: We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple information extraction tasks from unstructured cancer pathology reports compared to conventional methods that do not sufficiently capture syntactic and semantic contexts from free-text documents. MATERIALS AND METHODS: Data for our analyses were obtained from 942 deidentified pathology reports collected by the National Cancer Institute Surveillance, Epidemiology, and End Results program. The HAN was implemented for 2 information extraction tasks: (1) primary site, matched to 12 International Classification of Diseases for Oncology topography codes (7 breast, 5 lung primary sites), and (2) histological grade classification, matched to G1-G4. Model performance metrics were compared to conventional machine learning (ML) approaches including naive Bayes, logistic regression, support vector machine, random forest, and extreme gradient boosting, and other DL models, including a recurrent neural network (RNN), a recurrent neural network with attention (RNN w/A), and a convolutional neural network. RESULTS: Our results demonstrate that for both information tasks, HAN performed significantly better compared to the conventional ML and DL techniques. In particular, across the 2 tasks, the mean micro and macro F-scores for the HAN with pretraining were (0.852,0.708), compared to naive Bayes (0.518, 0.213), logistic regression (0.682, 0.453), support vector machine (0.634, 0.434), random forest (0.698, 0.508), extreme gradient boosting (0.696, 0.522), RNN (0.505, 0.301), RNN w/A (0.637, 0.471), and convolutional neural network (0.714, 0.460). CONCLUSIONS: HAN-based DL models show promise in information abstraction tasks within unstructured clinical pathology reports.

Customized dose prescription for permanent prostate brachytherapy: insights from a multicenter analysis of dosimetry outcomes.

PURPOSE: To investigate the biochemical control rate in patients undergoing permanent prostate brachytherapy as a function of the biologically effective dose (BED) and risk group. METHODS AND MATERIALS: Six centers provided data on 3,928 permanent brachytherapy patients with postimplant dosimetry results. The mean prostate-specific antigen level was 8.9 ng/mL. (125)I was used in 2,293 (58%), (103)Pd in 1,635, and supplemental external beam radiotherapy in 882 (22.5%) patients. The patients were stratified into low- (n = 2,188), intermediate- (n = 1,188), and high- (n = 552) risk groups and into three BED groups of < 140 Gy (n = 524), 140-200 Gy (n = 2284), and >200 Gy (n = 1,115). Freedom from biochemical disease progression (biochemical freedom from failure [bFFF]) was determined using the American Society for Therapeutic Radiology Oncology and Phoenix definitions and calculated using the Kaplan-Meier method, with factors compared using the log-rank test. RESULTS: The 10-year prostate-specific antigen bFFF rate for the American Society for Therapeutic Radiology Oncology and Phoenix definitions was 79.2% and 70%, respectively. The corresponding bFFF rates for the low-, intermediate-, and high-risk groups was 84.1% and 78.1%, 76.8% and 63.6%, and 64.4% and 58.2%, respectively (p < 0.0001). The corresponding bFFF rate for the three BED groups was 56.1% and 41.4%, 80% and 77.9%, and 91.1% and 82.9% (p < 0.0001). The corresponding bFFF rate for the low-risk patients by dose group was 69.8% and 49.8%, 86% and 85.2%, and 88.1% and 88.3% for the low-, intermediate, and high-dose group, respectively (p <0.0001). The corresponding bFFF rate for the intermediate-risk patients by dose group was 52.9% and 23.1%, 74.1% and 77.7%, and 94.3% and 88.8% for the low-, intermediate-, and high-dose group, respectively (p < 0.0001). The corresponding bFFF rate for high-risk patients by dose group was 19.2% and 41.7%, 61.8% and 53.2%, and 90% and 69.6% for the low-, intermediate-, and high-dose group, respectively (p < 0.0001). CONCLUSIONS: These data suggest that permanent brachytherapy dose prescriptions can be customized to risk status. In low-risk patients, achieving a BED of >or=140 Gy might be adequate for prostate-specific antigen control. However, high-risk disease might require a BED dose of >or=200 Gy.

Evaluation of an online platform for cancer patient self-reporting of chemotherapy toxicities.

The current mechanism for monitoring toxicity symptoms in cancer trials depends on a complex paper-based process. Electronic collection of patient-reported outcomes (PROs) may be more efficient and accurate. An online PRO platform was created including a simple data entry interface, real-time report generation, and an alert system to e-mail clinicians when patients self-report serious toxicities. Feasibility assessment involving 180 chemotherapy patients demonstrated high levels of use at up to 40 follow-up clinic visits per patient over 16 months (85% of patients at any given visit), with high levels of patient and clinician acceptance and satisfaction (>95%). Alerts were used as the basis for delayed chemotherapy treatments, dose modifications, and scheduling changes. These results demonstrate that online patient-reporting is a feasible strategy for chemotherapy toxicity symptom monitoring, and may improve safety and satisfaction with care. Ongoing multi-center research will evaluate the impact of this approach on clinical and administrative outcomes.

Major shifts in the treatment and prognosis of prostate cancer due to changes in pathological diagnosis and grading.

OBJECTIVE: To examine data on the changes in the accuracy of the diagnosis of prostate cancer and of Gleason grading in the modern era. PATIENTS AND METHODS: The study comprised a pathological review within a multicentre study of patients with clinically localized prostate cancer diagnosed in the UK from 1991 to 1996 (inclusive) and treated by watchful-waiting or hormonal therapy alone. The clinical follow-up was available, histopathological appearances were reviewed and the Gleason score at diagnosis was compared with the Gleason score as analysed by a panel of genitourinary pathologists using internationally agreed criteria. In all, 1789 patients diagnosed with prostate cancer between 1991 and 1996 were reviewed, with disease-specific survival as the main outcome measure. RESULTS: In all, 133 patients (7%) were reassigned a nonmalignant diagnosis. There was a significant reassignment in the Gleason score for those with cancer, with increases of Gleason score across a wide spectrum. In multivariate analysis the revised Gleason score was a more accurate predictor of prognosis than the original score. CONCLUSION: Misdiagnosis and reassignment of Gleason score at diagnosis would have guided clinicians into large-scale changes in the management of patients. Current rates of misdiagnosis are unknown. If applicable nationally, these changes would have profound effects on the workload of prostate cancer management in the UK.

Outcome predictors for the increasing PSA state after definitive external-beam radiotherapy for prostate cancer.

PURPOSE: To identify predictors of distant metastases (DM) among patients who develop an isolated prostate-specific antigen (PSA) relapse after definitive external-beam radiotherapy for clinically localized prostate cancer. MATERIALS AND METHODS: A total of 1,650 patients with clinical stage T1 to T3 prostate cancer were treated with high-dose three-dimensional conformal radiotherapy. Of these, 381 patients subsequently developed three consecutive increasing PSA values and were characterized as having a biochemical relapse. The median follow-up time was 92 months from the completion of radiotherapy. RESULTS: The 5-year incidence of DM after an established PSA relapse was 29%. In a multivariate analysis, PSA doubling time (PSA-DT; P < .001), the clinical T stage (P < .001), and Gleason score (P = .007) were independent variables predicting for DM after established biochemical failure. The PSA-DT for favorable-, intermediate-, and unfavorable-risk patients who developed a biochemical failure was 20.0, 13.2, and 8.2 months, respectively (P < .001). The 3-year incidence of DM for patients with PSA-DT of 0 to 3, 3 to 6, 6 to 12, and more than 12 months was 49%, 41%, 20%, and 7%, respectively (P < .001). Patients with PSA-DT of 0 to 3 and 3 to 6 months demonstrated a 7.0 and 6.6 increased hazard of developing DM or death, respectively, compared with patients with a DT more than 12 months. CONCLUSION: In addition to clinical stage and Gleason score, PSA-DT was a powerful predictor of DM among patients who develop an isolated PSA relapse after external-beam radiotherapy for prostate cancer. Patients who develop biochemical relapse with PSA-DT < or = 6 months should be considered for systemic therapy or experimental protocols because of the high propensity for rapid DM development.

Pattern of prostate-specific antigen (PSA) failure dictates the probability of a positive bone scan in patients with an increasing PSA after radical prostatectomy.

PURPOSE: Physicians often order periodic bone scans (BS) to check for metastases in patients with an increasing prostate-specific antigen (PSA; biochemical recurrence [BCR]) after radical prostatectomy (RP), but most scans are negative. We studied patient characteristics to build a predictive model for a positive scan. PATIENTS AND METHODS: From our prostate cancer database we identified all patients with detectable PSA after RP. We analyzed the following features at the time of each bone scan for association with a positive BS: preoperative PSA, time to BCR, pathologic findings of the RP, PSA before the BS (trigger PSA), PSA kinetics (PSA doubling time, PSA slope, and PSA velocity), and time from BCR to BS. The results were incorporated into a predictive model. RESULTS: There were 414 BS performed in 239 patients with BCR and no history of androgen deprivation therapy. Only 60 (14.5%) were positive for metastases. In univariate analysis, preoperative PSA (P = .04), seminal vesicle invasion (P = .02), PSA velocity (P < .001), and trigger PSA (P < .001) predicted a positive BS. In multivariate analysis, only PSA slope (odds ratio [OR], 2.71; P = .03), PSA velocity (OR, 0.93; P = .003), and trigger PSA (OR, 1.022; P < .001) predicted a positive BS. A nomogram for predicting the bone scan result was constructed with an overfit-corrected concordance index of 0.93. CONCLUSION: Trigger PSA, PSA velocity, and slope were associated with a positive BS. A highly discriminating nomogram can be used to select patients according to their risk for a positive scan. Omitting scans in low-risk patients could reduce substantially the number of scans ordered.

A multicenter study demonstrating discordant results from electronic prostate-specific antigen biochemical failure calculation systems.

PURPOSE: To evaluate the interobserver variation of four electronic biochemical failure (bF) calculators using three bF definitions. METHODS AND MATERIALS: The data of 1200 men were analyzed using the electronic bF calculators of four institutions. Three bF definitions were examined for their concordance of bF identification across the centers: the American Society for Therapeutic Radiology and Oncology consensus definition (ACD), the lowest prostate-specific antigen (PSA) level to date plus 2 ng/mL (L2), and a threshold of 3 ng/mL (T3). RESULTS: Unanimous agreement regarding bF status using the ACD, L2, and T3 definitions occurred in 87.3%, 96.4%, and 92.7% of cases, respectively. Using the ACD, 63% of the variation was from one institution, which allowed the bF status to be reversed if a PSA decline was seen after bF (PSA "bounce"). A total of 270 men had an ACD bF time variation of >2 months across the calculators, and the 5-year freedom from bF rate was 49.8-60.9%. The L2 definition had a 20.5% rate of calculated bF times; which varied by >2 months (median, 6.4; range, 2.1-75.6) and a corresponding 5-year freedom from bF rate of 55.9-61.0%. The T3 definition had a 2.0% range in the 5-year freedom from bF. Fifteen definition interpretation variations were identified. CONCLUSION: Reported bF results vary not only because of bF definition differences, but because of variations in how those definitions are written into computer-based calculators, with multiple interpretations most prevalent for the ACD. An algorithm to avoid misinterpretations is proposed for the L2 definition. A verification system to guarantee consistent electronic bF results requires development.

Evaluation of postradiotherapy PSA patterns and correlation with 10-year disease free survival outcomes for prostate cancer.

PURPOSE: To describe the prostate-specific antigen (PSA) pattern profiles observed after external beam radiotherapy with and without short-term neoadjuvant androgen deprivation therapy (ST-ADT) and to report the association of established posttreatment PSA patterns with long-term disease-free survival outcomes. METHODS AND MATERIALS: A total of 1,665 patients were treated with conformal external beam radiotherapy for clinically localized prostate cancer. Of 570 patients who had the requisite>10 consecutive PSA measurements for statistical analysis, 194 patients received a median of 3 months of ADT before radiotherapy and 376 were treated with radiotherapy alone. The median follow up was 103 months. RESULTS: In the group treated with ST-ADT, three distinct postradiotherapy PSA patterns were identified: a stable trend (44%), an increasing trend followed by stabilization of the PSA (25%), and an increasing trend (31%). Among the subgroup that demonstrated a rising and subsequent stabilizing patterns, PSA levels had gradually risen to a median value of 0.9 ng/mL after therapy, stabilized, and remained durably suppressed. The only identified trends among patients treated with external beam radiotherapy without ST-ADT were declining PSA levels followed by stable PSA trends or declining patterns followed by rising levels. Patients whose PSA levels stabilized after an initial rise or those with slowly rising PSA profiles had a lower incidence of distant metastasis compared to those with accelerated rises after therapy. CONCLUSIONS: For those treated with external beam radiotherapy in conjunction with ST-ADT, a significant percentage who develop a rising PSA after treatment are expected to manifest subsequent stabilization at plateaued levels of approximately 1.0 ng/mL, which can remain durably suppressed. The likelihood of distant metastasis in these patients is low despite the PSA stabilization at levels 1.0 ng/mL or higher and comparable to outcomes observed for those with lower nonrising PSA values.

Long-term oncologic results of salvage radical prostatectomy for locally recurrent prostate cancer after radiotherapy.

PURPOSE: Salvage radical prostatectomy (RP) may potentially cure patients who have isolated local prostate cancer recurrence after radiotherapy (RT). We report the long-term cancer control associated with salvage RP in a consecutive cohort of patients and identify the variables associated with disease progression and cancer survival. METHODS AND MATERIALS: A total of 100 consecutive patients underwent salvage RP with curative intent for biopsy-confirmed, locally recurrent, prostate cancer after RT. Disease progression after salvage RP was defined as a prostate-specific antigen (PSA) level of > or =0.2 ng/mL or by initiation of androgen deprivation therapy. Cancer-specific mortality was defined as active clinical disease progression despite castration. Cox regression analysis was used to evaluate these endpoints. The median follow-up from RT was 10 years (range, 3-27 years) and from salvage RP was 5 years (range, 1-20 years). RESULTS: Overall, the 5-year progression-free probability was 55% (95% confidence interval, 46-64%), and the median progression-free interval was 6.4 years. The preoperative PSA level was the only significant pretreatment predictor of disease progression in the multivariate analysis (p = 0.01). The 5-year progression-free probability for patients with a preoperative PSA level of <4, 4-10, and >10 ng/mL was 86%, 55%, and 37%, respectively. The 10-year and 15-year cancer-specific mortality after salvage RP was 27% and 40%, respectively. The median time from disease progression to cancer-specific death was 10.3 years (95% confidence interval, 7.6-12.9). After multivariate analysis, the preoperative serum PSA level and seminal vesicle or lymph node status correlated independently with disease progression. CONCLUSIONS: Greater preoperative PSA levels are associated with disease progression and cancer-specific death. Long-term control of locally recurrent prostate cancer after definitive RT is possible when salvage RP is performed early in the course of recurrent disease.

A chronological database to support outcomes research in prostate cancer.

PURPOSE: To outline the process for developing a data management system for patients with prostate cancer. METHODS AND MATERIALS: Between 1997 and 2002, several generations of a working database using a Microsoft Access platform were developed for the tracking of patients with prostate cancer. The database evolved to include both the management of clinical practice and outcomes research. A chronological data system lists events by their date and value. Algorithms for data exporting can access these lists in defined ways to mine for specific parameters. RESULTS: The most recent working model of our database was implemented with over 2000 patients entered and over 250,000 rows of data. It is utilized by the entire staff and is central for processing prostate cancer data within the department. Outcome studies have been performed using the system, and data export algorithm development remains ongoing. CONCLUSIONS: This work demonstrates that functional database systems are possible for large clinics treating patients with prostate cancer. The ability to maintain up-to-the-minute data variables is vital not only for unbiased outcomes analysis, but for patient flow and care. Future systems will migrate to web platforms.

Prognostic significance of race on biochemical control in patients with localized prostate cancer treated with permanent brachytherapy: multivariate and matched-pair analyses.

PURPOSE: To compare PSA relapse-free survival (PSA-RFS) between African-American (AA) and white American (WA) males treated with permanent prostate brachytherapy (PPB) for clinically localized prostate cancer. METHODS AND MATERIALS: One thousand eighty-one consecutive patients, including 246 African-Americans, underwent PPB with 103Pd or 125I, alone or with external beam radiation therapy between September 1992 and September 1999. Computer-generated matching was performed to create two identical cohorts of WA and AA males, based on the use of neoadjuvant androgen ablation (NAAD), pretreatment PSA, and Gleason score. Presenting characteristics were used to define risk groups, as follows: Low risk had PSA 10 or Gleason score >or=7, and high risk had PSA >10 and Gleason score >or=7. PSA-RFS was calculated using the Kattan modification of the ASTRO definition, and the log-rank test was used to compare Kaplan-Meier PSA-RFS curves. Univariate and multivariate analyses were performed to determine predictors of PSA-RFS. RESULTS: Overall, univariate analysis revealed that AA males at presentation had lower disease stage (p = 0.01), had lower Gleason scores (p = 0.017), were younger (p = 0.001), and were more likely to receive NAAD (p = 0.001) than their WA counterparts. There were no differences in pretreatment PSA, isotope selection, use of external beam radiation therapy, median follow-up, or risk group classification between AA and WA males. Pretreatment PSA and Gleason score were significant predictors of PSA-RFS in multivariate analysis, and race was not significant. There was no significant difference between the 5-year PSA-RFS for AA males (84.0%) and the matched cohort of WA males (81.2%) (p = 0.384). Race was not a predictor of 5-year PSA-RFS among patients treated with or without NAAD and within low-, intermediate-, and high-risk groups. CONCLUSION: Race is not an independent predictor of 5-year PSA-RFS in patients with localized prostate cancer treated with PPB. This result is consistent with other studies that also show that race does not contribute to differences in outcome after definitive therapies for localized prostate cancer.

The prognostic significance of Gleason Grade in patients treated with permanent prostate brachytherapy.

PURPOSE: To assess the difference in biochemical freedom from relapse (BFR) between patients with clinically localized prostate cancer having Gleason Grade (GG) 3 + 4 vs. 4 + 3 disease treated with permanent prostate brachytherapy (PPB). METHODS AND MATERIALS: One thousand twenty-nine consecutive T1/T2 patients underwent PPB with Gleason sum 6, 7, or 8 adenocarcinoma of the prostate. Treatment consisted of transperineal ultrasound-guided implant as monotherapy or in combination with external beam radiation and/or neoadjuvant androgen ablation (NAAD). The Kattan modification of the ASTRO consensus definition that censors patients with rising follow-up PSA values early was used to measure BFR. Kaplan-Meier actuarial survival was calculated and compared using the log-rank test. Cox proportional hazards regression was performed to assess the role of Gleason grade, initial PSA value, stage, the addition of external beam radiotherapy, and the addition of NAAD. RESULTS: The median follow-up for all 1029 patients is 46 months (range: 3-108 months) with a BFR at 5 years of 78.2% and at 7 years of 76.2%. The 7-year BFR for patients with GG 3 + 3 was 81.8%, GG 3 + 4 was 78.4%, GG 4 + 3 was 56.7%, and GG 4 + 4 was 50.7% (p < 0.0001). Cox regression analysis identified that the Gleason grade (p < 0.0001), initial PSA value (p = 0.001), D90% (p < 0.0001), and clinical stage (p = 0.016) were associated with biochemical recurrence, whereas NAAD (p = 0.057) and external beam radiotherapy (p = 0.356) were not. CONCLUSIONS: Gleason sum 7 tumors in patients treated with PPB represent a heterogeneous group of patients based on the differentiation of Gleason Grade 3 + 4 tumors vs. 4 + 3 disease. This information confirms similar conclusions identified in patients treated with external beam radiation and is useful when determining prognosis after PPB.

Mode of presentation of renal cell carcinoma provides prognostic information.

PURPOSE: Broadened applications of imaging modalities have increased the incidental detection of renal cell carcinoma (RCC) over the past decade. Previous small series have suggested a prognostic benefit for incidental presentation. This study utilizes a large contemporary patient cohort to examine patterns of RCC presentation and their clinical implications. MATERIALS AND METHODS: Retrospective analysis was performed on 721 patients (260 women, 461 men) who underwent 750 nephrectomies for treatment of RCC between 7/1/89 and 12/31/97; 29 patients required two operations for bilateral RCC. Median age and follow-up were 63 years and 41 months, respectively. Indicators of symptomatic presentation included flank pain, flank mass, hematuria, varicocele, constitutional symptoms, paraneoplastic syndromes, and bone pain related to metastatic disease. Mode of presentation was compared with clinicopathologic parameters using Chi-square and t-test analyses. Survival analysis was performed using Kaplan-Meier estimates (log-rank test) and Cox regression modeling. RESULTS: Incidental and symptomatic presentation occurred in 57% and 42% of cases, respectively. When compared to incidental cases, symptomatic presentation was predominantly detected in younger patients (mean age, 59 years; P < .001), in males (P < .04), and in tumors with conventional (clear cell) histology (P < .001), larger size (mean, 8 cm; P < .001), and non-organ confined pathology (P < .001). In univariate analysis, symptomatic cases had a more adverse disease-free (P < .0001) and disease-specific (P < .0001) survival. In multivariate analysis, mode of presentation was an independent predictor of disease-free (P < 0.0001) and disease-specific survival (P < 0.005). CONCLUSIONS: Symptomatic presentation correlates with an aggressive histology and advanced disease. Incidental tumors may be frequently detected in female and elderly patients, as these groups traditionally seek general medical care more regularly. Mode of presentation can independently predict an adverse patient outcome and should be included in RCC-specific modeling systems.

Conventional (clear cell) renal carcinoma metastases have greater bcl-2 expression than high-risk primary tumors.

Bcl-2 antagonizes p53-induced apoptosis and may contribute to chemoresistance. In renal cell carcinoma (RCC), the role of bcl-2 is not well-defined, though its expression is reportedly low in primary tumors and lacks prognostic value. This study evaluates patterns of bcl-2 expression in high-risk (pT(3)) primary tumors and in matched patient metastases. Immunohistochemical analysis of bcl-2 was performed on 149 cases of conventional (clear cell) RCC (112 pT(3) primaries, 37 metastases). Paraffin-embedded tissues were obtained from nephrectomies and metastatic resections. Median follow up was 48 months in the entire cohort and 69 months in living patients. We evaluated associations between bcl-2 expression and tumor recurrence or patient survival with the Cox regression test, and used the t-test and Pearson correlation methods to evaluate bcl-2 expression in primary and metastatic cases. Bcl-2 expression was observed at a higher frequency in metastases (21/37 cases; 57%) compared to primary tumors (24/112 cases; 21%; P < 0.001). The percentage of cells stained was greater in metastases than primary tumors (P = 0.003). This finding was also noted when expression in metastatic cases was compared with matched primaries (P = 0.05). Bcl-2 expression did not predict disease-free (P = 0.30), disease-specific (P = 0.90), or overall (P = 0.51) survival. Most RCC primary tumors have low-to-absent levels of bcl-2 protein, whereas most RCC metastases display greater protein levels. Bcl-2 expression in primary tumors does not predict clinical outcome. However, expression of bcl-2 protein occurs at a high frequency in RCC metastases when compared to primary tumors. It may be reasonable to target RCC patients displaying altered bcl-2 levels for molecular therapies, such as anti-bcl2, should metastatic disease develop.

External radiotherapy and permanent prostate brachytherapy in patients with localized prostate cancer.

We examined the difference in prostate-specific antigen (PSA)-freedom from recurrence (FFR) in patients with localized prostate cancer treated with permanent prostate brachytherapy (PPB) alone or external radiotherapy combined with PPB (RT-PPB). A total of 1476 patients with prostate cancer (T1/T2) were treated with PPB by following the American Brachytherapy Society criteria. Patient self-selection and preference allowed for an overlap of treatment methodologies and risk factors. Monotherapy consisted of 125I or 103Pd. RT-PPB consisted of RT followed by PPB. PSA-FFR was based on a published modification of the American Society for Therapeutic Radiology and Oncology definition. Cox regression analysis was performed to assess the role of Gleason sum, pretreatment PSA value, clinical stage, RT-PPB, the addition of hormones, and the minimum dose covering 90% of the prostate volume (D90 dose). Monotherapy was used for 1016 patients (79%), and RT-PPB was used for 281 patients (21%), with an overall 6-year PSA-FFR of 83.2% (median follow-up of 34.7 months; range, 6-91 months). Multivariate Cox regression analysis to predict PSA-FFR identified the following highly significant variables: pretreatment PSA value, Gleason sum, and the addition of hormones. When the D90% (D90 dose relative to the prescribed dose) was included as a variable, Cox regression identified only the following significant variables: D90%, pretreatment PSA, and Gleason sum. Cox regression failed to identify an improvement in PSA-FFR with RT-PPB or the addition of hormones. Although these conclusions question the role for RT-PPB, only a comparative trial will be able to answer this question definitively.