BACKGROUND: We tested whether a model identifying prostate cancer (PCa) patients at risk of pT3-4/pN1 can be developed for use during COVID19 pandemic, in order to guarantee appropriate treatment to patients harboring advanced disease patients without compromising sustainability of care delivery. METHODS: Within the Surveillance, Epidemiology and End Results database 2010-2016, we identified 27,529 patients with localized PCa and treated with radical prostatectomy. A multivariable logistic regression model predicting presence of pT3-4/pN1 disease was fitted within a development cohort (n=13,977, 50.8%). Subsequently, external validation (n=13,552, 49.2%) and head-to-head comparison with NCCN risk group stratification was performed. RESULTS: In model development, age, PSA, biopsy Gleason Grade Group (GGG) and percentage of positive biopsy cores were independent predictors of pT3-4/pN1 stage. In external validation, prediction of pT3-4/pN1 with novel nomogram was 74% accurate versus 68% for NCCN risk group stratification. Nomogram achieved better calibration and showed net-benefit over NCCN risk group stratification in decision curve analyses. The use of nomogram cut-off of 49% resulted in pT3-4/pN1 rate of 65%, instead of the average 35%. CONCLUSION: The newly developed, externally validated nomogram predicts presence of pT3-4/pN1 better than NCCN risk group stratification and allows to focus radical prostatectomy treatment on individuals at highest risk of pT3-4/pN1.
- Publikační typ
- časopisecké články MeSH
BACKGROUND: For patients with nonmetastatic renal cell carcinoma (nmRCC) treated with nephrectomy, prediction of cancer-specific mortality (CSM) by T stage and substage has not been validated for the separate histological subtypes. OBJECTIVE: To investigate the ability of pathological T stage and substage to predict CSM for patients with clear-cell, papillary, or chromophobe nmRCC treated with nephrectomy. DESIGN, SETTING, AND PARTICIPANTS: Using the SEER database for 2004-2016, we identified 87 149 patients with T1-4 N0/X M0 nmRCC treated with nephrectomy for the clear-cell (65 715; 75.4%), papillary (14 587; 16.7%), or chromophobe (6847; 7.9%) histological subtype. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Kaplan-Meier plots and Cox regression models were used to estimate CSM. RESULTS AND LIMITATIONS: For all three histological subtypes, patients with T1a-T3a disease exhibited more favorable CSM than patients with T3b-T4 RCC. For clear-cell RCC, there were clinically meaningful and statistically significant differences for virtually all intergroup comparisons among T1a-T3a stages. For papillary T1a-T3a RCC, clinically meaningful differences disappeared, although the statistical significance remained. For chromophobe T1a-T3a RCC, no clinically meaningful or statistically significant differences were observed. For all three histological subtypes, patients with T3b-T4 RCC exhibited virtually uniformly unfavorable CSM, with no clinically meaningful intergroup CSM differences. CONCLUSION: The use of T stage and substage for stratification of patients with nmRCC treated with nephrectomy revealed differences in CSM among T1a-T3a cases, but not T3b-T4. The magnitude of the CSM difference was greatest for clear-cell, intermediate for papillary, and marginal for chromophobe RCC. PATIENT SUMMARY: For patients with kidney cancer, the stage of their disease assessed after surgery on the affected kidney can predict how likely they are to die from their cancer. This prediction varies for different subtypes of kidney cancer.
- MeSH
- karcinom z renálních buněk * patologie MeSH
- ledviny patologie MeSH
- lidé MeSH
- nádory ledvin * patologie MeSH
- nefrektomie MeSH
- proporcionální rizikové modely MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
We hypothesized that pT3a stage at nephrectomy can be accurately predicted in cT1N0M0 clear cell-renal cell carcinoma (cc-RCC) patients. Of 236 patients, treated with either partial or radical nephrectomy (2005-2019), 25 (10.6%) harbored pT3a stage. Multivariable logistic regression models predicting pT3a were fitted using age, tumor size, tumor location and exophytic rate. The new model was 81% accurate. In calibration plots, minimal departures from ideal prediction were recorded. In decision curve analyses, a net-benefit throughout all threshold probabilities was recorded relative to the treat-all or treat-none strategies. Using a probability cut-off of 21% for presence of pT3a stage, 38 patients (16.1%) were identified, in whom pT3a rate was 36.8%. Conversely, in 198 patients (83.9%) below that cut-off, the rate of pT3a was 5.6%. Alternative user-defined cut-offs may be selected. The new model more accurately identifies a subgroup of cT1N0M0 cc-RCC patients with substantially higher risk of pT3a stage than average.
- MeSH
- karcinom z renálních buněk patologie chirurgie MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory ledvin patologie chirurgie MeSH
- nefrektomie metody MeSH
- rizikové faktory MeSH
- senioři MeSH
- staging nádorů MeSH
- statistické modely MeSH
- tumor burden MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVE: The aim of the study was to investigate differences in the stage at presentation and cancer-specific mortality (CSM) between rural area (RA) and urban area (UA) residence status in nonmetastatic upper urinary tract urothelial carcinoma (UTUC) patients. METHODS: Newly diagnosed T1-3N0M0 UTUC patients with available residence status were abstracted from the Surveillance, Epidemiology, and End Results database (2004-2016). Propensity score (PS) matching (1 RA vs. 3 UA) accounted for age (interval ≤2 years), T stage (exact matching: T1, T2, and T3), and tumor grade (exact matching: high grade, low grade/unknown). Cumulative incidence plots and multivariable competing risk regression models focused on CSM, after adjustment for other-cause mortality. RESULTS: Of 6,012 patients, 125 (2.1%) resided in RAs and 5,887 (97.9%) in UAs. RA patients were younger than UA patients (median age 72 vs. 75 years, p = 0.03). No differences were recorded in tumor location, T stage, tumor grade, or surgical treatment between RA and UA patients. After 1:3 PS matching, 125 RA patients and 375 UA patients were assessable. At 5 years of follow-up, CSM rates were 26.7 versus 15.7% according to RA versus UA, respectively. After additional multivariable adjustment for age, sex, tumor location, and surgical treatment, RA remained an independent predictor of higher CSM (hazard ratio 1.75, p = 0.02). CONCLUSIONS: Despite no differences in cancer characteristics, UTUC patients in RA are at higher risk of CSM than their UA counterparts. This suggests suboptimal care delivery and compliance as possible causes. Complex and/or rare disease should be centralized to expert centers, which are often in UAs.
- MeSH
- karcinom z přechodných buněk mortalita patologie MeSH
- ledvinná pánvička * MeSH
- lidé MeSH
- nádory ledvin mortalita patologie MeSH
- nádory močovodu mortalita patologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- staging nádorů MeSH
- zdraví ve městech MeSH
- zdraví venkovských oblastí MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
- Geografické názvy
- Spojené státy americké MeSH
