Value of NADiA ProsVue on the CAPRA-S nomogram for predicting postprostatectomy clinical recurrence.

2013 ◽  
Vol 31 (6_suppl) ◽  
pp. 139-139 ◽  
Author(s):  
Judd W. Moul ◽  
Hans Lilja ◽  
Raymond Lance ◽  
Robert Vessella ◽  
Jonathan E. McDermed ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Cox Regression ◽  
Risk Groups ◽  
Study Cohort ◽  
Clinical Recurrence ◽  
Prognostic Test ◽  
Independent Population ◽  
Imaging Results ◽  
Reduced Risk

139 Background: The post-radical prostatectomy (RP) CAPRA-S nomogram stratifies men into low, intermediate and high risk groups for biochemical recurrence (BCR) and proved accurate for predicting 3 and 5 year BCR rates in a large study cohort. NADiA ProsVue is a prognostic test that identifies men at reduced risk of clinically recurrent prostate cancer when used with traditional risk factors. We assessed ProsVue, a prognostic test for identifying post-RP clinical recurrence, in an independent population of men classified into low, intermediate and high CAPRA-S risk groups. Methods: The 304 men in the ProsVue 510(k) study were categorized into low (scores 0-2), intermediate (3-5) and high (≥6) CAPRA-S risk groups. Men were categorized as “at reduced risk” or “not at reduced risk” using a 2.0 pg/mL/month ProsVue cutpoint. Clinical recurrence was defined by positive biopsy or imaging results or death due to prostate cancer. Clinical progression-free survival (cPFS) was determined between subgroups using univariate Cox regression and Kaplan-Meier survival analyses and Wilcoxon and log-rank p values were reported. Results: Recurrence occurred in 8/156 (5.1%), 20/93 (21.5%) and 32/55 (58.2%) of men in the low, intermediate, and high CAPRA-S risk groups, respectively (P<0.0001). After 3, 5, 8 and 15 year followup, men in all CAPRA-S risk groups with ProsVue results ≤2.0 had significantly longer cPFS compared to men with results >2.0. The differences are marked as early as 3 years post-RP in the intermediate and high risk groups. Conclusions: ProsVue added significant prognostic value for identifying risk of clinical recurrence within low, intermediate and high CAPRA-S risk groups. ProsVue is the strongest independent predictor of clinical recurrence of prostate cancer post-RP. [Table: see text]

scholarly journals Observation with or without late radiotherapy is equivalent to early radiotherapy in high-risk prostate cancer after radical prostatectomy: A SEER-Medicare analysis on trends, survival outcomes and complications

2019 ◽  
Author(s):  
Young Suk Suk Kwon ◽  
Wei Wang ◽  
Arnav Srivast ◽  
Thomas L Jang ◽  
Singer A Eric ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Cox Regression ◽  
Survival Outcomes ◽  
Study Cohort ◽  
High Risk Prostate Cancer ◽  
Pathologic Features ◽  
Risk Prostate Cancer

Abstract Introduction: While early radiotherapy (eRT) after radical prostatectomy (RP) has shown to improve oncologic outcomes in patients with high-risk prostate cancer (PCa) in a recent clinical trial, controversy remains regarding its benefit. We aimed to illustrate national trends of post-RP radiotherapy and compare outcomes and toxicities in patients receiving eRT vs. observation with or without late radiotherapy (lRT). Methods: Utilizing the Surveillance, Epidemiology and End Results (SEER)-Medicare data from 2001 to 2011, we identified 7557 patients with high-risk pathologic features after RP (≥ pT3N0 and/or positive surgical margins). Our study cohort was consisted of patients receiving RT within 6 months of surgery (eRT), those receiving RT after 6 months (IRT), and those never receiving RT (observation). Another subcohort, delayed RT (dRT), encompassed both IRT and observation. Trends of post-RP radiotherapy were compared using the Cochran-Armitage trend test. Cox regression models identified factors predictive of worse survival outcomes. Kaplan-Meier analyses compared the eRT and the dRT groups. Results: Among those with pathologically confirmed high-risk PCa after RP, 12.7% (n=959), 13.2% (n=1710), and 74.1% (n=4888) underwent eRT, lRT, and observation without RT, respectively. Of these strategies, the proportion of men on observation without RT increased significantly over time (p=0.004). Multivariable Cox regression model demonstrated similar outcomes between the eRT and the dRT groups. At a median follow up of 5.9 years, five-year overall and cancer-specific survival outcomes were more favorable in the dRT group, when compared to the eRT group. Radiation related toxicities, including urinary incontinence, erectile dysfunction, and urethral stricture, were higher in the eRT group when compared to the lRT group. Conclusions: Our results suggest that a blanket adoption of the eRT in high-risk PCa based on clinical trials with limited follow up may result in overtreatment of a significant number of men and expose them to unnecessary radiation toxicity.

The role of proton beam therapy for patients with intermediate- and high-risk prostate cancer.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 97-97
Author(s):  
Takeshi Arimura ◽  
Naoaki Kondo ◽  
Kyoko Matsukawa ◽  
Kiyotaka Wada ◽  
Ikumi Kitano ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Proton Beam ◽  
Risk Groups ◽  
Proton Beam Therapy ◽  
Clinical Recurrence ◽  
High Risk Prostate Cancer ◽  
Gu Toxicity ◽  
Significant Difference ◽  
Risk Prostate Cancer

97 Background: Although there are many patterns of treatment in localized prostate caner, proton beam therapy has no definite role in them. We aimed to assess the outcomes of proton beam therapy (PBT) alone for patients with intermediate- and high-risk prostate cancer, and to clarify the role of PBT in the treatments. Methods: Between Jan. 2011 and Sep. 2014, 204 patients with intermediate- and high-risk prostate cancer who declined to receive hormonal treatments until biochemical or clinical recurrence were enrolled in the study. All patients were irradiated a 70-78 GyE in 28-39 fractions, and pre-treatment risk groups were classified in accordance with the D’Amico criteria. The 5-year (biochemical or clinical) recurrence-free survival (RFS), late gastrointestinal (GI) and genitourinary (GU) toxicity (NCI-CTCAE ver.4.0) were evaluated. We conducted a survey on sexual quality of life (QOL) every six months to evaluate any long-term damage to the sexual function using the Expanded Prostate Cancer Index Composite (EPIC). Results: The mean age and the follow-up period were 66 (range: 39-86) and 52 months (range: 24-76 months), respectively. The 5-year RFS rates in intermediate- (n = 112) and high- (n = 92) risk groups were 96.9% and 83.4%, respectively. There was a significant difference between the two groups (p = 0.002). The incidence of grade 2+ GI and GU toxicity were 4% and 3%, respectively. We found a significant difference in the GI toxicity between the two radiation protocols of 78GyE/39fractions (n = 6, 11%) and 70GyE/28fractions (n = 0, 0%) (p < 0.01). A 5.8% decrease in average after adjusting for aging was found in sexual summary score in six years after treatment, which was equivalent to aging of three years. Conclusions: Proton beam therapy alone demonstrated favorable results in patients with intermediate- and high-risk prostate cancer. Although more patients and longer follow-up are necessary to confirm the outcomes, these results suggested a hypothesis that proton beam therapy might not require androgen deprivation therapy in the treatment of localized prostate cancer, which could lead to a possibility of preserving of sexual function. Clinical trial information: MPTRC-N2 and N3.

scholarly journals Immune-Related Genes Are Prognostic Markers for Prostate Cancer Recurrence

2021 ◽  
Vol 12 ◽  
Author(s):  
Min Fu ◽  
Qiang Wang ◽  
Hanbo Wang ◽  
Yun Dai ◽  
Jin Wang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Cox Regression ◽  
Risk Group ◽  
Gene Mutations ◽  
Risk Groups ◽  
High Risk Group ◽  
Prognosis Model ◽  
Immune Related Genes ◽  
Risk Prognosis

BackgroundProstate cancer (PCa) is an immune-responsive disease. The current study sought to explore a robust immune-related prognostic gene signature for PCa.MethodsData were retrieved from the tumor Genome Atlas (TCGA) database and GSE46602 database for performing the least absolute shrinkage and selection operator (LASSO) cox regression model analysis. Immune related genes (IRGs) data were retrieved from ImmPort database.ResultsThe weighted gene co-expression network analysis (WGCNA) showed that nine functional modules are correlated with the biochemical recurrence of PCa, including 259 IRGs. Univariate regression analysis and survival analysis identified 35 IRGs correlated with the prognosis of PCa. LASSO Cox regression model analysis was used to construct a risk prognosis model comprising 18 IRGs. Multivariate regression analysis showed that risk score was an independent predictor of the prognosis of PCa. A nomogram comprising a combination of this model and other clinical features showed good prediction accuracy in predicting the prognosis of PCa. Further analysis showed that different risk groups harbored different gene mutations, differential transcriptome expression and different immune infiltration levels. Patients in the high-risk group exhibited more gene mutations compared with those in the low-risk group. Patients in the high-risk groups showed high-frequency mutations in TP53. Immune infiltration analysis showed that M2 macrophages were significantly enriched in the high-risk group implying that it affected prognosis of PCa patients. In addition, immunostimulatory genes were differentially expressed in the high-risk group compared with the low-risk group. BIRC5, as an immune-related gene in the prediction model, was up-regulated in 87.5% of prostate cancer tissues. Knockdown of BIRC5 can inhibit cell proliferation and migration.ConclusionIn summary, a risk prognosis model based on IGRs was developed. A nomogram comprising a combination of this model and other clinical features showed good accuracy in predicting the prognosis of PCa. This model provides a basis for personalized treatment of PCa and can help clinicians in making effective treatment decisions.

The national impact of the COVID-19 pandemic on U.S. prostate cancer community care.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5061-5061
Author(s):  
Matthew R. Cooperberg ◽  
Paul Brendel ◽  
Daniel J. Lee ◽  
Rahul Doraiswami ◽  
Hariesh Rajasekar ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Language Processing ◽  
Care Delivery ◽  
Specific Antigen ◽  
Risk Groups ◽  
Low Risk ◽  
T Stage ◽  
Risk Stratum ◽  
The Impact

5061 Background: We used data from a specialty-wide, community-based urology registry to determine trends in outpatient prostate cancer (PCa) care during the COVID-19 pandemic. Methods: 3,165 (̃ 25%) of US urology providers, representing 48 states and territories, participate in the American Urological Association Quality (AQUA) Registry, which collects data via automated extraction from electronic health record systems. We analyzed trends in PCa care delivery from 156 practices contributing data in 2019 and 2020. Risk stratification was based on prostate-specific antigen (PSA) at diagnosis, biopsy Gleason, and clinical T-stage, and we used a natural language processing algorithm to determine Gleason and T-stage from unstructured clinical notes. The primary outcome was mean weekly visit volume by PCa patients per practice (visits defined as all MD and mid-level visits, telehealth and face-to-face), and we compared each week in 2020 through week 44 (November 1) to the corresponding week in 2019. Results: There were 267,691 PCa patients in AQUA who received care between 2019 and 2020. From mid-March to early November, 2020 (week 10 – week 44) the magnitude of the decline and recovery varied by risk stratum, with the steepest drops for low-risk PCa (Table). For 2020, overall mean visits per day (averaged weekly) were similar to 2019 for the first 9 weeks (̃25). Visits declined to week 14 (18.19; a 31% drop from 2019), recovered to 2019 levels by week 23, and declined steadily to 11.89 (a 58% drop from 2019) as of week 44, the cut off of this analysis. Conclusions: Access to care for men with PCa was sharply curtailed by the COVID-19 pandemic, and while the impact was less for men with high-risk disease compared to those with low-risk disease, visits even for high-risk individuals were down nearly one-third and continued to fall through November. This study provides real-world evidence on the magnitude of decline in PCa care across risk groups. The impact of this decline on cancer outcomes should be followed closely.[Table: see text]

scholarly journals Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Chunyuan Jiang ◽  
Ruijuan Yang ◽  
Maobin Kuang ◽  
Meng Yu ◽  
Mingchun Zhong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
High Risk ◽  
Diagnostic Criteria ◽  
Body Mass ◽  
Cox Regression ◽  
Risk Groups ◽  
World Health ◽  
Obese People ◽  
Cox Regression Analysis ◽  
Health Organization

Abstract Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received follow-up. The main outcome event of concern was pre-diabetes defined according to the diagnostic criteria recommended by the American Diabetes Association (ADA) in 2018 and the World Health Organization (WHO) in 1999. A Cox proportional hazard regression model was used to evaluate the role of TyG-BMI in identifying people at high risk of pre-diabetes. Results At a mean observation period of 3.1 years, the incidence of pre-diabetes in the cohort was 3.70 and 12.31% according to the WHO and ADA diagnostic criteria for pre-diabetes, respectively. The multivariate Cox regression analysis demonstrated that TyG-BMI was independently positively correlated with pre-diabetes, and there was a special population dependence phenomenon. Among them, non-obese people, women and people under 50 years old had a significantly higher risk of TyG-BMI-related pre-diabetes (P-interaction< 0.05). Conclusions These findings suggest that a higher TyG-BMI significantly increases an individual’s risk of pre-diabetes, and this risk is significantly higher in women, non-obese individuals, and individuals younger than 50 years of age.

scholarly journals Development and Verification of the Hypoxia- and Immune-Associated Prognostic Signature for Pancreatic Ductal Adenocarcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Dongjie Chen ◽  
Hui Huang ◽  
Longjun Zang ◽  
Wenzhe Gao ◽  
Hongwei Zhu ◽  
...  
Keyword(s):  
High Risk ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Pearson Correlation ◽  
Risk Groups ◽  
Low Risk ◽  
Ductal Adenocarcinoma ◽  
Prognostic Signature ◽  
Score Model

We aim to construct a hypoxia- and immune-associated risk score model to predict the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC). By unsupervised consensus clustering algorithms, we generate two different hypoxia clusters. Then, we screened out 682 hypoxia-associated and 528 immune-associated PDAC differentially expressed genes (DEGs) of PDAC using Pearson correlation analysis based on the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression project (GTEx) dataset. Seven hypoxia and immune-associated signature genes (S100A16, PPP3CA, SEMA3C, PLAU, IL18, GDF11, and NR0B1) were identified to construct a risk score model using the Univariate Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression, which stratified patients into high- and low-risk groups and were further validated in the GEO and ICGC cohort. Patients in the low-risk group showed superior overall survival (OS) to their high-risk counterparts (p &lt; 0.05). Moreover, it was suggested by multivariate Cox regression that our constructed hypoxia-associated and immune-associated prognosis signature might be used as the independent factor for prognosis prediction (p &lt; 0.001). By CIBERSORT and ESTIMATE algorithms, we discovered that patients in high-risk groups had lower immune score, stromal score, and immune checkpoint expression such as PD-L1, and different immunocyte infiltration states compared with those low-risk patients. The mutation spectrum also differs between high- and low-risk groups. To sum up, our hypoxia- and immune-associated prognostic signature can be used as an approach to stratify the risk of PDAC.

Five-Year Outcomes of Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer-The Largest Experience in China

2021 ◽  
Author(s):  
Xianzhi Zhao ◽  
Yusheng Ye ◽  
Haiyan Yu ◽  
Lingong Jiang ◽  
Chao Cheng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Cox Regression Analysis ◽  
Gu Toxicity ◽  
Biochemical Progression ◽  
Grade 3 ◽  
Very High

Abstract Objective To evaluate the efficacy and toxicity of SBRT for localized prostate cancer (PCa). Moreover, it is the largest-to-date pilot study to report 5-year outcomes of SBRT for localized PCa from China. Methods In this retrospective study, 133 PCa patients in our center were treated by SBRT with CyberKnife (Accuray) from October 2012 to July 2019. Follow-up was performed every 3 months for evaluations of efficacy and toxicity. Biochemical progression-free survival (bPFS) and toxicities were assessed using the Phoenix definition and the Common Terminology Criteria for Adverse Events (CTCAE) v.5.0 respectively. Factors predictive of bPFS were identified with COX regression analysis. Results 133 patients (10 low-, 21 favorable intermediate-, 31 unfavorable intermediate-, 45 high-, and 26 very high risk cases on the basis of the NCCN risk classification) with a median age of 76 years (range: 54–87 years) received SBRT. The median dose was 36.25Gy (range: 34-37.5Gy) in 5 fractions. Median follow-up time was 57.7 months (3.5–97.2 months). The overall 5-year bPFS rate was 83.6% for all patients. The 5-year bPFS rate of patients with low-, favorable intermediate-, unfavorable intermediate-, high-, and very high risk PCa was 87.5%, 95.2%, 90.5%, 86.3%, and 61.6% respectively. Urinary symptoms were all alleviated after SBRT. All the patients tolerated SBRT with only 1 (0.8%) and 1 (0.8%) patient reporting grade-3 acute and late genitourinary (GU) toxicity, respectively. There were no grade 4 toxicities. Gleason score (P < 0.001, HR = 7.483, 95%CI: 2.686–20.846) was the independent predictor of bPFS rate after multivariate analysis Conclusion SBRT is an efficient and safe treatment modality for localized PCa with high 5-year bPFS rates and acceptable toxicities.

A Novel Risk Classification Model Predicts Overall Survival and Locoregional Surgery Benefit in Colorectal Patients with Distant Metastasis at the Initial Diagnosis

2020 ◽  
Author(s):  
Mo Chen ◽  
Tian-en Li ◽  
Pei-zhun Du ◽  
Junjie Pan ◽  
Zheng Wang ◽  
...  
Keyword(s):  
Overall Survival ◽  
High Risk ◽  
Distant Metastasis ◽  
Cox Regression ◽  
Risk Group ◽  
Risk Groups ◽  
Risk Classification ◽  
Low Risk ◽  
Classification Model ◽  
Intermediate Risk

Abstract Background and aims: In this research, we aimed to construct a risk classification model to predict overall survival (OS) and locoregional surgery benefit in colorectal cancer (CRC) patients with distant metastasis.Methods: We selected a cohort consisting of 12741 CRC patients diagnosed with distant metastasis between 2010 and 2014, from the Surveillance, Epidemiology and End Results (SEER) database. Patients were randomly assigned into training group and validation group at the ratio of 2:1. Univariable and multivariable Cox regression models were applied to screen independent prognostic factors. A nomogram was constructed and assessed by the Harrell’s concordance index (C-index) and calibration plots. A novel risk classification model was further established based on the nomogram.Results: Ultimately 12 independent risk factors including race, age, marriage, tumor site, tumor size, grade, T stage, N stage, bone metastasis, brain metastasis, lung metastasis and liver metastasis were identified and adopted in the nomogram. The C-indexes of training and validation groups were 0.77 (95% confidence interval [CI] 0.73-0.81) and 0.75 (95% CI 0.72-0.78), respectively. The risk classification model stratified patients into three risk groups (low-, intermediate- and high-risk) with divergent median OS (low-risk: 36.0 months, 95% CI 34.1-37.9; intermediate-risk: 18.0 months, 95% CI 17.4-18.6; high-risk: 6.0 months, 95% CI 5.3-6.7). Locoregional therapies including surgery and radiotherapy could prognostically benefit patients in the low-risk group (surgery: hazard ratio [HR] 0.59, 95% CI 0.50-0.71; radiotherapy: HR 0.84, 95% CI 0.72-0.98) and intermediate risk group (surgery: HR 0.61, 95% CI 0.54-0.68; radiotherapy: HR 0.86, 95% CI 0.77-0.95), but not in the high-risk group (surgery: HR 1.03, 95% CI 0.82-1.29; radiotherapy: HR 1.03, 95% CI 0.81-1.31). And all risk groups could benefit from systemic therapy (low-risk: HR 0.68, 95% CI 0.58-0.80; intermediate-risk: HR 0.50, 95% CI 0.47-0.54; high-risk: HR 0.46, 95% CI 0.40-0.53).Conclusion: A novel risk classification model predicting prognosis and locoregional surgery benefit of CRC patients with distant metastasis was established and validated. This predictive model could be further utilized by physicians and be of great significance for medical practice.

scholarly journals Oncological outcome of neoadjuvant low-dose estramustine plus LHRH agonist/antagonist followed by extended radical prostatectomy for Japanese patients with high-risk localized prostate cancer: a prospective single-arm study

2019 ◽  
Vol 50 (1) ◽  
pp. 66-72 ◽  
Author(s):  
Hideki Enokida ◽  
Yasutoshi Yamada ◽  
Shuichi Tatarano ◽  
Hirofumi Yoshino ◽  
Masaya Yonemori ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Cox Regression ◽  
External Beam Radiotherapy ◽  
Oncological Outcome ◽  
Muscle Layer ◽  
Surgical Margins ◽  
Positive Surgical Margins ◽  
Cox Regression Analysis

Abstract Background Patients with advanced high-risk prostate cancer (PCa) are prone to have worse pathological diagnoses of positive surgical margins and/or lymph node invasion, resulting in early biochemical recurrence (BCR) despite having undergone radical prostatectomy (RP). Therefore, it is controversial whether patients with high-risk PCa should undergo RP. The purpose of this study was to evaluate the efficacy of neoadjuvant chemohormonal therapy (NAC) followed by “extended” RP. Methods A total of 87 patients with high-risk PCa prospectively underwent extended RP after NAC; most of the patients underwent 6 months of estramustine phosphate (EMP) 140 mg twice daily, along with a luteinizing hormone-releasing hormone agonist/antagonist. We developed our surgical technique to reduce the rate of positive surgical margins. We aimed to approach the muscle layer of the rectum by dissecting the mesorectal fascia and continuing the dissection through the mesorectum until the muscle layer of the rectum was exposed. Results More than 1 year had elapsed after surgery in all 86 patients, with a median follow-up period of 37.7 months. The 3-year BCR-free survival was 74.9%. Multivariate Cox-regression analysis revealed that a positive core ratio of 50% or greater and pathological stage of pT3 or greater were independent predictors for BCR. About 17 of 23 cases received salvage androgen deprivation therapy and concurrent external beam radiotherapy, and showed no progression after the salvage therapies. Conclusions NAC concordant with extended RP is feasible and might provide good cancer control for patients with high-risk PCa.

scholarly journals Development and Validation of a Novel Integrated Clinical-Genomic Risk Group Classification for Localized Prostate Cancer

2018 ◽  
Vol 36 (6) ◽  
pp. 581-590 ◽  
Author(s):  
Daniel E. Spratt ◽  
Jingbin Zhang ◽  
María Santiago-Jiménez ◽  
Robert T. Dess ◽  
John W. Davis ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Distant Metastasis ◽  
Treatment Guidelines ◽  
Risk Groups ◽  
Localized Prostate Cancer ◽  
Tier System ◽  
Genomic Risk ◽  
Clinical Genomic ◽  
Risk Grouping

Purpose It is clinically challenging to integrate genomic-classifier results that report a numeric risk of recurrence into treatment recommendations for localized prostate cancer, which are founded in the framework of risk groups. We aimed to develop a novel clinical-genomic risk grouping system that can readily be incorporated into treatment guidelines for localized prostate cancer. Materials and Methods Two multicenter cohorts (n = 991) were used for training and validation of the clinical-genomic risk groups, and two additional cohorts (n = 5,937) were used for reclassification analyses. Competing risks analysis was used to estimate the risk of distant metastasis. Time-dependent c-indices were constructed to compare clinicopathologic risk models with the clinical-genomic risk groups. Results With a median follow-up of 8 years for patients in the training cohort, 10-year distant metastasis rates for National Comprehensive Cancer Network (NCCN) low, favorable-intermediate, unfavorable-intermediate, and high-risk were 7.3%, 9.2%, 38.0%, and 39.5%, respectively. In contrast, the three-tier clinical-genomic risk groups had 10-year distant metastasis rates of 3.5%, 29.4%, and 54.6%, for low-, intermediate-, and high-risk, respectively, which were consistent in the validation cohort (0%, 25.9%, and 55.2%, respectively). C-indices for the clinical-genomic risk grouping system (0.84; 95% CI, 0.61 to 0.93) were improved over NCCN (0.73; 95% CI, 0.60 to 0.86) and Cancer of the Prostate Risk Assessment (0.74; 95% CI, 0.65 to 0.84), and 30% of patients using NCCN low/intermediate/high would be reclassified by the new three-tier system and 67% of patients would be reclassified from NCCN six-tier (very-low– to very-high–risk) by the new six-tier system. Conclusion A commercially available genomic classifier in combination with standard clinicopathologic variables can generate a simple-to-use clinical-genomic risk grouping that more accurately identifies patients at low, intermediate, and high risk for metastasis and can be easily incorporated into current guidelines to better risk-stratify patients.

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