Unmarried Status Effect on Stage at Presentation and Treatment Patterns in Non-Metastatic Upper Tract Urothelial Carcinoma Patients.

BACKGROUND: Unmarried status has been associated with higher proportions of locally advanced stage and lower treatment dose intensification rates in several urological and non-urological malignancies. However, no previous investigators focused on the association between unmarried status and advanced stage (T3-4N0-2) at presentation and lower nephroureterectomy (RNU) and systemic therapy (ST) rates in non-metastatic upper tract urothelial carcinoma (UTUC) patients. METHODS: Using the Surveillance, Epidemiology, and End Results (SEER) database 2000-2020, all non-metastatic UTUC patients were identified. Multivariable logistic regression models (LRMs) tested for differences in stage at presentation and treatment (RNU and ST) according to marital status (married vs unmarried), in a sex-specific fashion. RESULTS: Of all 8544 non-metastatic UTUC patients, 4748 (56%) were male vs 3190 (44%) were female. Of all 4748 male UTUC patients, 1191 (25%) were unmarried. Of all 3190 female UTUC patients, 1608 (50%) were unmarried. In multivariable LRMs predicting RNU, unmarried status was an independent predictor of lower RNU rates in male (Odds Ratio [OR]: 0.56; P < .001), but not in female (OR: 0.81; P = .1) non-metastatic UTUC patients. In multivariable LRMs predicting ST exposure, unmarried status was an independent predictor of lower ST rates in both male (OR:0.73; P = .03) and female (OR:0.64; P < .001) UTUC patients. In multivariable LRMs predicting locally advanced stage (T3-4N0-2), unmarried status was not associated with an increased risk of locally advanced stage at presentation in either male (OR: 0.95; P = .5) or female (OR: 0.99; P = .9) UTUC patients. CONCLUSIONS: Unmarried male UTUC patients appear at risk of less being able to access RNU, relative to their married counterparts. Moreover, unmarried UTUC patients appear to less benefit from ST, regardless of sex. Conversely, unmarried status was not associated with an increased risk of locally advanced stage at presentation in either male or female UTUC patients.

Sarcomatoid Dedifferentiation as a Predictor of Cancer-Specific Mortality in Surgically Treated Localized Renal Cell Carcinoma.

BACKGROUND: In contemporary surgically treated patients with localized high-grade (G3 or G4) clear-cell renal cell carcinoma (ccRCC), it is not known whether presence of sarcomatoid dedifferentiation is an independent predictor and/or an effect modifier, when cancer-specific mortality (CSM) represents an endpoint. METHODS: Within the Surveillance, Epidemiology, and End Results database, all surgically treated localized high-grade ccRCC patients treated between 2010 and 2020 were identified. Univariable and multivariable Cox-regression models were used. RESULTS: In 18,853 surgically treated localized high-grade (G3 or G4) ccRCC patients, 5-year CSM-free survival was 87% (62% vs. 88% with vs. without sarcomatoid dedifferentiation, p < 0.001). Presence of sarcomatoid dedifferentiation was an independent predictor of higher CSM (hazard ratio [HR] 1.8, p < 0.001). In univariable survival analyses predicting CSM, presence versus absence of sarcomatoid dedifferentiation in G3 versus G4 yielded the following hazard ratios: HR 1.0 in absent sarcomatoid dedifferentiation in G3; HR 2.7 (p < 0.001) in absent sarcomatoid dedifferentiation in G4; HR 3.9 (p < 0.001) in present sarcomatoid dedifferentiation in G3; HR 5.1 (p < 0.001) in present sarcomatoid dedifferentiation in G4. Finally, in multivariable Cox-regression analyses, the interaction terms defining present versus absent sarcomatoid dedifferentiation in G3 versus G4 represented independent predictors of higher CSM. CONCLUSIONS: In contemporary surgically treated patients with localized high-grade ccRCC, sarcomatoid dedifferentiation is not only an independent multivariable predictor of higher CSM, but also interacts with tumor grade and results in even better ability to predict CSM.

Survival benefit of nephroureterectomy in systemic therapy exposed metastatic upper tract urinary urothelial carcinoma patients.

BACKGROUND: It is unknown whether the stage of the primary may influence the survival (OS) of metastatic upper tract urothelial carcinoma (mUTUC) patients treated with nephroureterectomy (NU) and systemic therapy (ST). We tested this hypothesis within a large-scale North American cohort. METHODS: Within Surveillance Epidemiology and End Results database 2000-2020, all mUTUC patients treated with ST+NU or with ST alone were identified. Kaplan-Maier plots depicted OS. Multivariable Cox regression (MCR) models tested for differences between ST+NU and ST alone predicting overall mortality (OM). All analyses were performed in localized (T1-T2) and then repeated in locally advanced (T3-T4) patients. RESULTS: Of all 728 mUTUC patients, 187 (26%) harbored T1-T2 vs 541 (74%) harbored T3-T4. In T1-T2 patients, the median OS was 20 months in ST+NU vs 10 months in ST alone. Moreover, in MCR analyses that also relied on 3 months' landmark analyses, the combination of ST+NU independently predicted lower OM (HR 0.37, p < 0.001). Conversely, in T3-T4 patients, the median OS was 12 in ST+NU vs 10 months in ST alone. Moreover, in MCR analyses that also relied on 3 months' landmark analyses, the combination of ST+NU was not independently associated with lower OM (HR 0.85, p = 0.1). CONCLUSIONS: In mUTUC patients, treated with ST, NU drastically improved survival in T1-T2 patients, even after strict methodological adjustments (multivariable and landmark analyses). However, this survival benefit did not apply to patients with locally more advanced disease (T3-T4).

Perioperative complications and in-hospital mortality in radical cystectomy patients with heart-valve replacement.

PURPOSE: To assess in-hospital mortality and complication rates after radical cystectomy (RC) in patients with history of heart-valve replacement. MATERIALS AND METHODS: Using the National Inpatient Sample (2000-2019), non-metastatic bladder cancer patients undergoing RC were stratified according to history of heart-valve replacement. Regression models (RM) predicted hospital outcomes. RESULTS: Of 25,535 RC patients, 250 (1.0%) harbored history of heart-valve replacement. Heart-valve replacement patients were older (median 74 vs. 70 years), more frequently male (87.2 vs. 80.6%), and more frequently had Charlson comorbidity index ≥3 (26.8 vs. 18.9%). In RC patients with history of heart-valve replacement vs. others, 62 vs. 2634 (24.8 vs. 10.4%) experienced cardiac complications, 28 vs. 3092 (11.2 vs. 12.2%) intraoperative complications, 11 vs. 1046 (4.4 vs. 4.1%) infections, <11 vs. 594 (<4.4 vs. 2.3%) perioperative bleeding, <11 vs. 699 (<4.4 vs. 2.8%) vascular complications, 74 vs. 6225 (29.6 vs. 24.7%) received blood transfusions, 37 vs. 3054 (14.8 vs. 12.1%) critical care therapy (CCT), and in-hospital mortality was recorded in <11 vs. 463 (<4.4 vs. 1.8%) patients. In multivariable RM, history of heart-valve replacement independently predicted cardiac complications (odds ratio 2.20, 95% confidence interval 1.62-2.99; p < 0.001). Conversely, no statically significant association was recorded between history of heart-valve replacement and length of stay, estimated hospital cost, intraoperative complications, perioperative bleeding, vascular complications, infections, blood transfusions, CCT use, and in-hospital mortality. CONCLUSIONS: Radical cystectomy patients with history of heart-valve replacement exhibited a 2.2-fold higher risk of cardiac complications, but no other complications, including no significantly higher in-hospital mortality.

Contemporary conditional cancer-specific survival rates in surgically treated nonmetastatic primary urethral carcinoma.

BACKGROUND: We examined the effect of disease-free interval (DFI) duration on cancer-specific mortality (CSM)-free survival, otherwise known as the effect of conditional survival, in radical urethrectomy nonmetastatic primary urethral carcinoma (PUC) patients. METHODS: Using the Surveillance, Epidemiology, and End Results (SEER) database 2000-2020, patient (age, sex, race/ethnicity, and marital status) and tumor (stage and histology) characteristics, as well as systemic therapy exposure status of nonmetastatic PUC patients were tabulated. Conditional survival estimates at 5-year were assessed based on DFI duration and according to stage at presentation (T1 -2N0 vs. T3-4N0-2). RESULTS: Of all 512 radical urethrectomy PUC patients, 278 (54%) harbored T1-2N0 stage versus 234 (46%) harbored T3-4N0-2 stage. In 512 PUC patients, 5-year CSM-free survival at initial diagnosis was 61.8%. Provided a DFI duration of 36 months, 5-year CSM-free survival was 85.6%. In 278 T1-2N0 PUC patients, 5-year CSM-free survival at initial diagnosis was 68.4%. Provided a DFI duration of 36 months, 5-year CSM-free survival was 86.9%. In 234 T3-4N0-2 PUC patients, 5-year CSM-free survival at initial diagnosis was 53.8%. Provided a DFI duration of 36 months, 5-year CSM-free survival was 83.6%. CONCLUSIONS: Although intuitively, clinicians and patients are well aware of the concept that increasing DFI duration improves survival probability, only a few clinicians can accurately estimate the magnitude of survival improvement, as was done within the current study. Such information is crucial to survivors, especially in those diagnosed with rare malignancies, where the survival estimation according to DFI duration is even more challenging.

Surgically treated pelvic liposarcoma and leiomyosarcoma: The effect of tumor size on cancer-specific survival.

INTRODUCTION: In soft tissue pelvic liposarcoma and leiomyosarcoma, it is unknown whether a specific tumor size cut-off may help to better predict prognosis, defined as cancer-specific survival (CSS). We tested whether different tumor size cut-offs, could improve CSS prediction. MATERIALS AND METHODS: Surgically treated non-metastatic soft tissue pelvic sarcoma patients were identified (Surveillance, Epidemiology, and End Results 2004-2019). Kaplan-Meier plots, univariable and multivariable Cox-regression models and receiver operating characteristic-derived area under the curve (AUC) estimates were used. RESULTS: Overall, 672 (65 %) liposarcoma (median tumor size 11 cm, interquartile range [IQR] 7-16) and 367 (35 %) leiomyosarcoma (median tumor size 8 cm, IQR 5-12) patients were identified. The p-value derived ideal tumor size cut-off was 17.1 cm, in liposarcoma and 7.0 cm, in leiomyosarcoma. In liposarcoma, according to p-value derived cut-off, five-year CSS rates were 92 vs 83 % (≤17.1 vs > 17.1 cm). This cut-off represented an independent predictor of CSS and improved prognostic ability from 83.8 to 86.8 % (Δ = 3 %). Similarly, among previously established cut-offs (5 vs 10 vs 15 cm), also 15 cm represented an independent predictor of CSS and improved prognostic ability from 83.8 to 87.0 % (Δ = 3.2 %). In leiomyosarcoma, according to p-value derived cut-off, five-year CSS rates were 86 vs 55 % (≤7.0 vs > 7.0 cm). This cut-off represented an independent predictor of CSS and improved prognostic ability from 68.6 to 76.5 % (Δ = 7.9 %). CONCLUSIONS: In liposarcoma, the p-value derived tumor size cut-off was 17.1 cm vs 7.0 cm, in leiomyosarcoma. In both histologic subtypes, these cut-offs exhibited the optimal statistical characteristics (univariable, multivariable and AUC analyses). In liposarcoma, the 15 cm cut-off represented a valuable alternative.

Non-Surgical Bladder-Sparing Multimodal Management in Organ-Confined Urothelial Carcinoma of the Urinary Bladder: A Population-Based Analysis.

BACKGROUND: Trimodal therapy is considered the most validated bladder-sparing treatment in patients with organ-confined urothelial carcinoma of the urinary bladder (T2N0M0). However, scarce evidence exists regarding cancer-specific mortality (CSM) differences between trimodal therapy and other non-extirpative multimodal treatment options such as radiotherapy alone after transurethral resection (TURBT + RT) or chemotherapy alone after transurethral resection (TURBT + CT). METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified T2N0M0 patients treated with either trimodal therapy, TURBT + CT, or TURBT + RT. Temporal trends described trimodal therapy vs. TUBRT + CT vs. TURBT + RT use over time. Survival analyses consisting of Kaplan-Meier plots and multivariable Cox regression (MCR) models addressed CSM according to each treatment modality. RESULTS: 3729 (40%) patients underwent TMT vs. 4030 (43%) TURBT + CT vs. 1599 (17%) TURBT + RT. Over time, trimodal therapy use (Estimating annual percent change, EAPC: +1.2%, p = 0.01) and TURBT + CT use increased (EAPC: +1.5%, p = 0.01). In MCR models, relative to trimodal therapy, TURBT + CT exhibited 1-14-fold higher CSM and TURBT + RT 1.68-fold higher CSM. In a subgroup analysis, TURBT + RT was associated with 1.42-fold higher CSM than TURBT + CT (p < 0.001). CONCLUSIONS: Strict trimodal therapy that includes both CT and RT after TURBT offers the best cancer control. When strict trimodal therapy cannot be delivered, cancer-specific survival outcomes appear to be superior with TURBT + chemotherapy compared to TURBT + RT.

Use of inpatient palliative care in metastatic urethral cancer.

BACKGROUND: In metastatic urethral cancer, temporal trends, and patterns of inpatient palliative care (IPC) use are unknown. METHODS: Relying on the National Inpatient Sample (2006-2019), metastatic urethral cancer patients were stratified according to IPC use. Estimated annual percentage changes (EAPC) analyses and multivariable logistic regression models (LRM) for the prediction of IPC use were fitted. RESULTS: Of 1,106 metastatic urethral cancer patients, 199 (18%) received IPC. IPC use increased from 5.8 to 28.0% over time in the overall cohort (EAPC +9.8%; P < 0.001), from <12.5 to 35.1% (EAPC +11.2%; P < 0.001), and from <12.5 to 24.7% (EAPC +9.4%; P = 0.01) in respectively females and males. Lowest IPC rates were recorded in the Midwest (13.5%) vs. highest in the South (22.5%). IPC patients were more frequently female (44 vs. 37%), and more frequently exhibited bone metastases (45 vs. 34%). In multivariable LRM, female sex (multivariable odds ratio [OR] 1.46, 95% confidence interval [CI] 1.05-2.02; P = 0.02), and bone metastases (OR 1.46, 95%CI 1.02-2.10; P = 0.04) independently predicted higher IPC rates. Conversely, hospitalization in the Midwest (OR 0.53, 95%CI 0.31-0.91; P = 0.02), and in the Northeast (OR 0.48, 95%CI 0.28-0.82; P = 0.01) were both associated with lower IPC use than hospitalization in the West. CONCLUSION: IPC use in metastatic urethral cancer increased from a marginal rate of 5.8% to as high as 28%. Ideally, differences according to sex, metastatic site, and region should be addressed to improve IPC use rates.

Contemporary validation of cT1a vs. cT1b substaging of incidental prostate cancer.

OBJECTIVE: The cT1a vs. cT1b substratification was introduced in 1992 but never formally tested since. We tested the discriminative ability of cT1a vs. cT1b substaging on cancer-specific survival (CSS) in contemporary incidental prostate cancer (PCa) patients. DESIGN, SETTING AND PARTICIPANTS: Incidental (cT1a/cT1b) PCa patients were identified within the Surveillance, Epidemiology, and End Results (SEER) database (2004-2015). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Kaplan-Meier estimates, as well as uni- and multivariable Cox regression models predicted CSS at five years. Subgroup analyses addressed CSS at five years according to active vs. no local treatment (NLT) as well as Gleason score sum (GS; 6 vs. 7 vs. ≥ 8). RESULTS AND LIMITATION: We identified a total of 5,155 incidental prostate cancer patients of which 3,035 (59%) were stage cT1a vs. 2,120 (41%) were stage cT1b. In all incidental PCa patients, CSS at five years was 95% (95% CI 0.94-0.96). In cT1a patients, CSS at five years was 98 vs. 90% in cT1b patients (p < 0.001). In multivariable Cox regression analyses, cT1b independently predicted 2.8-fold higher CSM than cT1a (HR 2.5, 95% CI 1.8-3.6, p < 0.001) for incidental PCa patients who underwent NLT. In subgroup analyses, cT1b represented an independent predictor of higher CSM in GS ≥ 8 (HR 3.0, 95% CI 1.4-6.2, p = 0.003), and GS 7 (HR 3.9, 95% CI 1.6-9.7 p = 0.002) patients who underwent NLT. For actively treated patients, cT1b was not independently associated with worse CSM. CONCLUSION: The historical subclassification of cT1a vs. cT1b in incidental PCa patients displayed a strong ability to discriminate CSS in contemporary GS 7 and GS ≥ 8 patients who underwent NLT. However, no statistically significant difference was recorded in actively treated patients. In consequence, the importance of the current substage stratification predominantly applies to GS ≥ 8 patients who undergo a non-active treatment approach.

The effect of married status on cancer-specific mortality in nonmetastatic pelvic liposarcoma patients according to sex.

BACKGROUND: In nonmetastatic pelvic liposarcoma patients, it is unknown whether married status is associated with better cancer-control outcome defined as cancer-specific mortality (CSM). We addressed this knowledge gap and hypothesized that married status is associated with lower CSM rates in both male and female patients. METHODS: Within the Surveillance, Epidemiology, and End Results database (2000-2020), nonmetastatic pelvic liposarcoma patients were identified. Kaplan-Meier plots and univariable and multivariable Cox regression models (CRMs) predicting CSM according to marital status were used in the overall cohort and in male and female subgroups. RESULTS: Of 1078 liposarcoma patients, 764 (71%) were male and 314 (29%) female. Of 764 male patients, 542 (71%) were married. Conversely, of 314 female patients, 192 (61%) were married. In the overall cohort, 5-year cancer-specific mortality-free survival (CSM-FS) rates were 89% for married versus 83% for unmarried patients (Δ = 6%). In multivariable CRMs, married status did not independently predict lower CSM (hazard ratio [HR]: 0.74, p = 0.06). In males, 5-year CSM-FS rates were 89% for married versus 86% for unmarried patients (Δ = 3%). In multivariable CRMs, married status did not independently predict lower CSM (HR: 0.85, p = 0.4). In females, 5-year CSM-FS rates were 88% for married versus 79% for unmarried patients (Δ = 9%). In multivariable CRMs, married status independently predicted lower CSM (HR: 0.58, p = 0.03). CONCLUSIONS: In nonmetastatic pelvic liposarcoma patients, married status independently predicted lower CSM only in female patients. In consequence, unmarried female patients should ideally require more assistance and more frequent follow-up than their married counterparts.

Cancer-specific mortality in non-metastatic T1a renal cell carcinoma treated with radiotherapy versus partial nephrectomy.

PURPOSE: Radiotherapy (RT) represents a treatment option for small renal masses with proven feasibility and tolerability. However, it has never been directly compared to partial nephrectomy (PN) with cancer-specific mortality (CSM) as an endpoint. METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified T1aN0M0 renal cell carcinoma (RCC) patients treated with RT or PN. We relied on 1:1 propensity score matching (PSM) for age, tumor size and histology. Subsequently, cumulative incidence plots and multivariable competing risks regression (CRR) models were fitted. The same methodology was then re-applied to a subset of patients with tumor size 21-40 mm. RESULTS: Of 40,355 patients with T1aN0M0 RCC, 40,262 underwent PN (99.8%) vs 93 underwent RT (0.2%). RT patients were older (median age 72 vs 60 years, p < 0.001) and harbored larger tumor size (median size 28 vs 25 mm, p < 0.001) and a higher proportion of non-clear cell RCC (49% vs 22%, p < 0.001). After 1:1 PSM (92 RT versus 92 PN patients), cumulative incidence plots' derived CSM was 21.3 vs 4%, respectively. In multivariable CRR models, RT independently predicted higher CSM (hazard ratio (HR) 4.3, p < 0.001). In the subgroup with tumor size 21-40 mm, after 1:1 PSM (72 RT versus 72 PN patients), cumulative incidence plots derived CSM was 21.3% vs 4%, respectively. In multivariable CRR models, RT also independently predicted higher CSM (HR 4.7, p = 0.001). CONCLUSIONS: In T1aN0M0 RCC patients, relative to PN, RT is associated with significantly higher absolute and relative CSM, even in patients with tumor size 21-40 mm.

Other-cause mortality in incidental prostate cancer.

BACKGROUND: In incidental prostate cancer (IPCa), elevated other-cause mortality (OCM) may obviate the need for active treatment. We tested OCM rates in IPCa according to treatment type and cancer grade and we hypothesized that OCM is significantly higher in not-actively-treated patients. METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2015), IPCa patients were identified. Smoothed cumulative incidence plots as well as multivariable competing risks regression models were fitted to address OCM after adjustment for cancer-specific mortality (CSM). RESULTS: Of 5121 IPCa patients, 3655 (71%) were not-actively-treated while 1466 (29%) were actively-treated. Incidental PCa not-actively-treated patients were older and exhibited higher proportion of Gleason sum (GS) 6 and clinical T1a stage. In smoothed cumulative incidence plots, 5-year OCM was 20% for not-actively-treated versus 8% for actively-treated patients. Conversely, 5-year CSM was 5% for not-actively-treated versus 4% for actively-treated patients. No active treatment was associated with 1.4-fold higher OCM, even after adjustment for age, cancer characteristics, and CSM. According to GS, OCM reached 16%, 27%, and 35% in GS 6, 7, and 8-10 not-actively-treated IPCa patients, respectively and exceeded CSM recorded for the same three groups (2%, 6%, and 28%, respectively). CONCLUSION: Our results quantified OCM rates, confirming that in not-actively-treated IPCa patients OCM is indeed significantly higher than in their actively-treated counterparts (HR: 1.4). These observations validate the use of no active treatment in IPCa patients, in whom OCM greatly surpasses CSM (20% vs. 5%).

Perioperative Complications and In-Hospital Mortality in Partial and Radical Nephrectomy Patients with Heart-Valve Replacement.

BACKGROUND: In-hospital mortality and complication rates after partial and radical nephrectomy in patients with history of heart-valve replacement are unknown. PATIENTS AND METHODS: Relying on the National Inpatient Sample (2000-2019), kidney cancer patients undergoing partial or radical nephrectomy were stratified according to presence or absence of heart-valve replacement. Multivariable logistic and Poisson regression models addressed adverse hospital outcomes. RESULTS: Overall, 39,673 patients underwent partial nephrectomy versus 94,890 radical nephrectomy. Of those, 248 (0.6%) and 676 (0.7%) had a history of heart-valve replacement. Heart-valve replacement patients were older (median partial nephrectomy 69 versus 60 years; radical nephrectomy 71 versus 63 years), and more frequently exhibited Charlson comorbidity index ≥ 3 (partial nephrectomy 22 versus 12%; radical nephrectomy 32 versus 23%). In partial nephrectomy patients, history of heart-valve replacement increased the risk of cardiac complications [odds ratio (OR) 4.33; p < 0.001), blood transfusions (OR 2.00; p < 0.001), intraoperative complications (OR 1.53; p = 0.03), and longer hospital stay [rate ratio (RR) 1.25; p < 0.001], but not in-hospital mortality (p = 0.5). In radical nephrectomy patients, history of heart-valve replacement increased risk of postoperative bleeding (OR 4.13; p < 0.001), cardiac complications (OR 2.72; p < 0.001), intraoperative complications (OR 1.53; p < 0.001), blood transfusions (OR 1.27; p = 0.02), and longer hospital stay (RR 1.12; p < 0.001), but not in-hospital mortality (p = 0.5). CONCLUSIONS: History of heart-valve replacement independently predicted four of twelve adverse outcomes in partial nephrectomy and five of twelve adverse outcomes in radical nephrectomy patients including intraoperative and cardiac complications, blood transfusions, and longer hospital stay. Conversely, no statistically significant differences were observed in in-hospital mortality.

The effect of race/ethnicity on cancer-specific mortality after trimodal therapy.

INTRODUCTION: Trimodal therapy (TMT) is the most validated bladder-sparing treatment for organ-confined urothelial carcinoma of the urinary bladder (OC UCUB, namely cT2N0M0). However, it is unknown if barriers to the use of TMT or cancer-specific mortality (CSM) differences exist according to race/ethnicity. We addressed this knowledge gap. MATERIAL AND METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified OC UCUB patients aged from 18 to 85 treated with radical cystectomy (RC) or TMT. Temporal trends described TMT versus RC use over time. Subsequently, in the subgroup of TMT-treated patients, survival analyses consisting of Kaplan-Meier plots and multivariable Cox regression (MCR) models addressed CSM according to race/ethnicity. RESULTS: Among 19,501 assessable patients, 15,336 (79%) underwent RC versus 4165 TMT (21%). Overall, of all races/ethnicities, 16,245 (83.3%) were White Americans, 1215 (6.3%) Hispanics, 1160 (5.9%) African Americans, and 881 (4.5%) Asian/Pacific Islanders. Among TMT-treated patients, 3460 (83.1%) were White Americans, 298 (7.1%) African Americans, 218 (5.3%) Hispanics, and 189 (4.5%) Asian/Pacific Islanders. The lowest rate of TMT use relative to RC and TMT patients was recorded in Hispanics (17.9%). Over time, TMT use increased in White Americans (EAPC: + 4.5%, p = 0.001) and Asians/Pacific Islanders (EAPC: + 5.2%, p = 0.003), but not in others. Kaplan-Meier analyses showed median CSM of 49 months, 41 months, and 34 months and not reached in White Americans, Hispanics, African Americans, and Asian/Pacific Islanders, respectively (p = 0.02). In MCR models, two race/ethnicity subgroups independently predicted either worse (African Americans, HR: 1.20, p = 0.02) or better CSM (Asian/Pacific Islanders, HR: 0.75, p = 0.02). CONCLUSION: Race/ethnicity affects both access to TMT (lower access in Hispanics) as well as survival after TMT (better in Asians/Pacific Islanders and worse in African Americans).

Trimodal therapy effect on survival in urothelial vs non-urothelial bladder cancer.

OBJECTIVE: To address cancer-specific mortality free-survival (CSM-FS) differences in patients with urothelial carcinoma of the urinary bladder (UCUB) vs non-UCUB who underwent trimodal therapy (TMT), according to organ confined (OC: T2N0M0) vs non-organ confined (NOC: T3-4NanyM0 or TanyN1-3M0) clinical stages. PATIENTS AND METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified patients with cT2-T4N0-N3M0 bladder cancer treated with TMT, defined as the combination of transurethral resection of bladder tumour, chemotherapy, and radiotherapy. Temporal trends described TMT use over time. Kaplan-Meier plots and multivariable Cox regression (MCR) models addressed CSM in UCUB vs non-UCUB according to OC vs NOC stages. RESULTS: Of 5130 assessable TMT-treated patients, 425 (8%) harboured non-UCUB vs 4705 (92%) who had UCUB. The TMT rates increased for patients with OC UCUB from 92.4% to 96.8% (estimated annual percentage change of 0.4%, P < 0.001), but not in the NOC stages (P = 0.3). In the OC stage, the median CSM-FS was 36 months in patients with non-UCUB vs 60 months in those with UCUB, respectively (P = 0.01). Conversely, in the NOC stage, the median CSM-FS was 23 months both in UCUB and non-UCUB (P = 0.9). In the MCR models addressing OC stage, non-UCUB histology independently predicted higher CSM (hazard ratio 1.45, P = 0.004), but not in the NOC stage (P = 0.9). CONCLUSION: In OC UCUB, TMT rates have increased over time in a guideline-consistent fashion. Patients with OC non-UCUB treated with TMT showed a CSM disadvantage relative to OC UCUB. In the NOC stage, use of TMT resulted in dismal CSM, regardless of UCUB vs non-UCUB histology.

Unmarried status effect on stage at presentation and treatment patterns in primary urethral carcinoma patients.

BACKGROUND: Unmarried status has been associated with advanced stage at presentation and lower treatment dose intensification rates in several urological and non-urological malignancies. However, no previous investigators focused of the association of unmarried status with locally advanced stage (T3-4N0-2) at presentation and lower bi-/trimodal therapy rates in primary urethral carcinoma (PUC) patients. To address these knowledge gaps, we relied on the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: Within the SEER database 2000 to 2020, all non-metastatic PUC patients were identified. Logistic regression models (LRMs) tested for differences in stage at presentation and treatment modality in the overall cohort and then in a sex-specific fashion, according to marital status (married vs unmarried). RESULTS: Of all 1,430 non-metastatic PUC patients, 1,004 (70%) were male vs 426 (30%) were female. Of 1,004 male PUC patients, 272 (27%) were unmarried. Of all 426 female PUC patients, 239 (56%) were unmarried. In multivariable LRMs predicting T3-4N0-2, unmarried status was independently associated with an increased risk of locally advanced stage at presentation in the overall cohort (odds ratio [OR]:1.31; P = 0.03) and in female patients (OR:1.62; P = 0.02), but not in male PUC patients (P = 0.6). In multivariable LRMs predicting bi-/trimodal therapy, unmarried status was an independent predictor of lower bi-/trimodal therapy rates in the overall cohort (OR:0.73; P = 0.02) and in male patients (OR:0.60; P = 0.007), but not in female PUC patients (P = 0.6). CONCLUSIONS: Unmarried female PUC patients more likely harbored locally advanced stage at presentation. Conversely, unmarried male PUC patients are less likely to benefit from bi-/trimodal therapy.

Regional differences in upper tract urothelial carcinoma patients across the United States.

BACKGROUND: It is unknown whether regional differences in patient, tumor, and treatment characteristics of upper tract urothelial carcinoma (UTUC) patients exist and may potentially result in regional overall mortality (OM) differences. We tested for inter-regional differences, according to Surveillance, Epidemiology, and End Results (SEER) registries. METHODS: Using SEER database 2000 to 2016, patient (age, sex, race/ethnicity), tumor (location, grade) and treatment (nephroureterectomy, systemic therapy [ST]) characteristics of UTUC patients of all-stages were tabulated and graphically depicted in a stage-specific fashion (T1-2N0M0 vs. T3-4N0M0 vs. TanyN1-2M0/TanyNanyM1). Multivariable Cox regression (MCR) models tested for inter-regional differences in OM. RESULTS: Regarding T1-2N0M0 patients, statistically significant differences existed for race/ethnicity (Caucasian 71 vs. 98%), location (renal pelvis: 55 vs. 67%), grade (high 60 vs. 83%) and ST (5.5 vs. 13.9%). In MCR models, registries 3 (Hazard ratio [HR]:1.39; P < 0.001) and 4 (HR:1.31; P = 0.01) independently predicted higher OM and Registry 8 (HR:0.64; P = 0.001) lower OM. Regarding T3-4N0M0 patients, statistically significant differences existed for race/ethnicity (Caucasian 70 vs. 98%), location (renal pelvis: 67 vs. 76%), grade (high 84 vs. 94%) and ST (18.7 vs. 29.5%). In MCR models, registries 3 (HR:1.42; P < 0.001) and 4 (HR:1.31; P = 0.009) independently predicted higher OM. Regarding TanyN1-2M0/TanyNanyM1 patients, statistically significant differences existed for location (renal pelvis: 63 vs. 82%), grade (high 92 vs. 98%) and ST (53.4 vs. 58.8%). In MCR models, Registry 3 (HR:1.37; P = 0.004) independently predicted higher OM and Registry 2, (HR:0.78; P = 0.02) lower OM. CONCLUSIONS: Inter-regional differences were recorded in patients, tumor, and treatment characteristics. Even after adjustment for these characteristics, OM differences persisted which may be indicative of regional differences in quality of care or expertise in UTUC management.

Married Status Affects Rates of Treatment and Mortality in Male and Female Renal Cell Carcinoma Patients Across all Stages.

INTRODUCTION: The association between treatment rates and cancer specific mortality (CSM) according to married status in male and female clear cell renal cell carcinoma (ccRCC) patients across all stages is unknown. PATIENT AND METHODS: Using the Surveillance, Epidemiology, and End Results database (2004-2020), ccRCC patients were stratified according to married status (married vs. unmarried). Logistic regression models addressed treatment rates; Cox regression models addressed CSM rates. RESULTS: Of 98,142 patients, 43,999 (72%) males and 20,287 (55%) females were married. In stage-specific analyses, married status independently predicted higher nephrectomy rates in males and females (all P ≤ .03). In stage IV, married status predicted higher systemic therapy rate in males (P < .001), but not in females. In survival analyses, married males exhibited lower CSM rates relative to unmarried males (all P ≤ .02). Conversely, married females exhibited lower CSM rates only in stages I and III (all P ≤ .02), but not in stages II and IV. In subgroup analyses of T1aN0M0 patients, married status was associated with higher partial nephrectomy rates in both males and females (all P ≤ .005). CONCLUSION: In ccRCC, married status invariably predicts higher rates of guideline recommended surgical management (nephrectomy and partial nephrectomy). Moreover, even after adjustment for treatment type, married status independently predicted lower CSM rates in males across all stages. However, the effect of married status in females is only operational in stages I and III. Lack of association between married status in stages II and IV may potentially be explained by stronger association with treatment assignment which reduces the residual effect on survival.

A population-based validation of the IGCCCG Update Consortium for survival in metastatic non-seminoma testis cancer.

BACKGROUND: In 2021, the International Germ Cell Cancer Collaborative Group (IGCCCG) Update Consortium reported improved overall survival (OS) rates in a modern cohort of metastatic non-seminoma testis cancer patients within each of the IGCCCG prognosis groups (96% in good vs. 89% in intermediate vs. 67% in poor), compared to the previous IGCCCG publication (92% in good vs. 80% in intermediate vs. 48% in poor). We hypothesized that a similar survival improvement may apply to a contemporary North-American population-based cohort of non-seminoma testis cancer patients. PATIENTS AND METHODS: The Surveillance, Epidemiology, and End Results (SEER) database (2010-2018) was used. Kaplan-Meier plots and multivariable Cox regression models tested the effect of IGCCCG prognosis groups on overall mortality (OM). RESULTS: Of 1672 surgically treated metastatic non-seminoma patients, 778 (47%) exhibited good vs. 251 (15%) intermediate vs. 643 (38%) poor prognosis. In the overall cohort, five-year OS rate was 94% for good prognosis vs. 87% for intermediate prognosis vs. 65% for poor prognosis. In multivariable Cox regression models predicting OM, intermediate (Hazard ratio [HR] 2.4, 95% confidence interval [CI] 1.4-3.9, P < 0.001) and poor prognosis group (HR 6.6, 95% CI 1.0-1.0, P < 0.001) were independent predictors of higher OM, relative to good prognosis group. CONCLUSIONS: The survival improvement reported by the IGCCCG Update Consortium is also operational in non-seminoma testis cancer patients within the most contemporary SEER database. This observation indicates that the survival improvement is not only applicable to centres of excellence, but also applies to other institutions at large.

Multivariable model versus AJCC staging system: cancer-specific survival predictions in adrenocortical carcinoma.

We developed a novel contemporary population-based model for predicting cancer-specific survival (CSS) in adrenocortical carcinoma (ACC) patients and compared it with the established 8th edition of the American Joint Committee on Cancer staging system (AJCC). Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified 1056 ACC patients. Univariable Cox regression model addressed CSS. Harrell's concordance index (C-index) quantified accuracy after 2000 bootstrap resamples for internal validation. The multivariable Cox regression model included the most informative, statistically significant predictors. Calibration and decision curve analyses (DCAs) tested the multivariable model as well as AJCC in head-to-head comparisons. Age at diagnosis (>60 vs ≤60 years), surgery, T, N, and M stages were included in the multivariable model. Multivariable model C-index for 3-year CSS prediction was 0.795 vs 0.757 for AJCC. Multivariable model outperformed AJCC in DCAs for the majority of possible CSS-predicted values. Both models exhibited similar calibration properties. Finally, the range of the multivariable model CSS predicted probabilities raged 0.02-75.3% versus only four single AJCC values, specifically 73.2% for stage I, 69.7% for stage II, 46.6% for stage III, and 15.5% for stage IV. The greatest benefit of the multivariable model-generated CSS probabilities applied to AJCC stage I and II patients. The multivariable model was more accurate than AJCC staging when CSS predictions represented the endpoint. Additionally, the multivariable model outperformed AJCC in DCAs. Finally, the AJCC appeared to lag behind the multivariable model when discrimination addressed AJCC stage I and II patients.