Contemporary survival in metastatic bladder cancer patients: A population-based study.

The overall survival (OS) improvement after the advent of several novel systemic therapies, designed for treatment of metastatic urothelial carcinoma of the urinary bladder (mUCUB), is not conclusively studied in either contemporary UCUB patients and/or non-UCUB patients. Within the Surveillance, Epidemiology, and End Results database, contemporary (2017-2020) and historical (2000-2016) systemic therapy-exposed metastatic UCUB and, subsequently, non-UCUB patients were identified. Separate Kaplan-Meier and multivariable Cox regression (CRM) analyses first addressed OS in mUCUB and, subsequently, in metastatic non-UCUB (mn-UCUB). Of 3443 systemic therapy-exposed patients, 2725 (79%) harbored mUCUB versus 709 (21%) harbored mn-UCUB. Of 2725 mUCUB patients, 582 (21%) were contemporary (2017-2020) versus 2143 (79%) were historical (2000-2016). In mUCUB, median OS was 11 months in contemporary versus 8 months in historical patients (Δ = 3 months; p < .0001). After multivariable CRM, contemporary membership status (2017-2020) independently predicted lower overall mortality (OM; hazard ratio [HR] = 0.68, 95% confidence interval [CI] = 0.60-0.76; p < .001). Of 709 mn-UCUB patients, 167 (24%) were contemporary (2017-2020) and 542 (76%) were historical (2000-2016). In mn-UCUB, median OS was 8 months in contemporary versus 7 months in historical patients (Δ = 1 month; p = .034). After multivariable CRM, contemporary membership status (2017-2020) was associated with HR of 0.81 (95% CI = 0.66-1.01; p = .06). In conclusion, contemporary systemic therapy-exposed metastatic patients exhibited better OS in UCUB. However, the magnitude of survival benefit was threefold higher in mUCUB and approximated the survival benefits recorded in prospective randomized trials of novel systemic therapies.

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.

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.

Evaluation of margins during radical prostatectomy: confocal microscopy vs frozen section analysis.

OBJECTIVES: To test the performance of ex vivo fluorescence confocal microscopy (FCM; Vivascope 2500M-G4), as compared to intra-operative frozen section (IFS) analysis, to evaluate surgical margins during robot-assisted radical prostatectomy (RARP), with final pathology as the reference standard. METHODS: Overall, 54 margins in 45 patients treated with RARP were analysed with: (1) ex vivo FCM; (2) IFS analysis; and (3) final pathology. FCM margins were evaluated by two different pathologists (experienced [M.I.: 10 years] vs highly experienced [G.R.: >30 years]) as strongly negative, probably negative, doubtful, probably positive, or strongly positive. First, inter-observer agreement (Cohen's κ) between pathologists was tested. Second, we reported the sensitivity, specificity, positive predictive (PPV) and negative predictive value (NPV) of ex vivo FCM. Finally, agreement between ex vivo FCM and IFS analysis (Cohen's κ) was reported. For all analyses, four combinations of FCM results were evaluated. RESULTS: At ex vivo FCM, the inter-observer agreement between pathologists ranged from moderate (κ = 0.74) to almost perfect (κ = 0.90), according to the four categories of results. Indeed, at ex vivo FCM, the highly experienced pathologist reached the best balance between sensitivity (70.5%) specificity (91.8%), PPV (80.0%) and NPV (87.1%). Conversely, on IFS analysis, the sensitivity, specificity, PPV and NPV were, respectively, 88.2% vs 100% vs 100% vs 94.8%. The agreement between the ex vivo FCM and IFS analyses ranged from moderate (κ = 0.62) to strong (κ = 0.86), according to the four categories of results. CONCLUSION: Evaluation of prostate margins at ex vivo FCM appears to be feasible and reliable. The agreement between readers encourages its widespread use in daily practice. Nevertheless, as of today, the performance of FCM seems to be sub-par when compared to the established standard of care (IFS analysis).

Improved Survival in Contemporary Community-Based Patients With Metastatic Clear-Cell Renal Cell Carcinoma Undergoing Active Treatment.

BACKGROUND: We hypothesized that the evolving treatment paradigms recommended based on phase III trials may have translated into improved overall survival (OS) in contemporary community-based patients with clear-cell metastatic renal cell carcinoma (ccmRCC) undergoing active treatment. PATIENTS AND METHODS: Within the SEER database, contemporary (2017-2020) and historical (2010-2016) patients with ccmRCC treated with either systemic therapy (ST), cytoreductive nephrectomy (CN), or both (ST+CN) were identified. Univariable and multivariable Cox-regression models were used. RESULTS: Overall, 993 (32%) contemporary versus 2,106 (68%) historical patients with ccmRCC were identified. Median OS was 41 months in contemporary versus 25 months in historical patients (Δ=16 months; P<.001). In multivariable Cox-regression analyses, contemporary membership was independently associated with lower overall mortality (hazard ratio [HR], 0.7; 95% CI, 0.6-0.8; P<.001). In patients treated with ST alone, median OS was 17 months in contemporary versus 10 months in historical patients (Δ=7 months; P<.001; multivariable HR, 0.7; P=.005). In patients treated with CN alone, median OS was not reached in contemporary versus 33 months in historical patients (Δ=not available; P<.001; multivariable HR, 0.7; P<.001). In patients treated with ST+CN, median OS was 38 months in contemporary versus 26 months in historical patients (Δ=12 months; P<.001; multivariable HR, 0.7; P=.003). CONCLUSIONS: Contemporary community-based patients with ccmRCC receiving active treatment clearly exhibited better survival than their historical counterparts, when examined as one group, as well as when examined as separate subgroups according to treatment type. Treatment advancements of phase III trials seem to be applied appropriately outside of centers of excellence.

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.

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).

Extreme-hypofractionated RT with concomitant boost to the DIL in PCa: a 5-year update on oncological and patient-reported outcomes for the phase II trial "GIVE ME FIVE".

AIM: The present work reports updated oncological results and patients-reported outcomes at 5 years of phase II trial "Short-term high precision RT for early prostate cancer with SIB to the dominant intraprostatic lesion (DIL) for patients with early-stage PCa". METHODS: Data from patients enrolled within AIRC IG-13218 (NCT01913717) trial were analyzed. Clinical and GU/GI toxicity assessment and PSA measurements were performed every 3 months for at least 2 years after RT end. QoL of enrolled patients was assessed by IPSS, EORTC QLQ-C30, EORTC QLQ-PR25, and IIEF-5. Patients' score changes were calculated at the end of RT and at 1, 12, and 60 months after RT. RESULTS: A total of 65 patients were included. At a median follow-up of 5 years, OS resulted 86%. Biochemical and clinical progression-free survival at 5 years were 95%. The median PSA at baseline was 6.07 ng/ml, while at last follow-up resulted 0.25 ng/ml. IPSS showed a statistically significant variation in urinary function from baseline (p = 0.002), with the most relevant deterioration 1 month after RT, with a recovery toward baseline at 12 months (p ≤ 0.0001). A numerical improvement in QoL according to the EORTC QLQ-C30 has been reported although not statistically significant. No change in sexual activity was recorded after RT. CONCLUSIONS: The study confirms that extreme hypofractionation with a DIL boost is safe and effective, with no severe effects on the QoL. The increasing dose to the DIL does not worsen the RT toxicity, thus opening the possibility of an even more escalated treatment.

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.

Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models.

OBJECTIVE: To test the ability of high-performance machine learning (ML) models employing clinical, radiological, and radiomic variables to improve non-invasive prediction of the pathological status of prostate cancer (PCa) in a large, single-institution cohort. METHODS: Patients who underwent multiparametric MRI and prostatectomy in our institution in 2015-2018 were considered; a total of 949 patients were included. Gradient-boosted decision tree models were separately trained using clinical features alone and in combination with radiological reporting and/or prostate radiomic features to predict pathological T, pathological N, ISUP score, and their change from preclinical assessment. Model behavior was analyzed in terms of performance, feature importance, Shapley additive explanation (SHAP) values, and mean absolute error (MAE). The best model was compared against a naïve model mimicking clinical workflow. RESULTS: The model including all variables was the best performing (AUC values ranging from 0.73 to 0.96 for the six endpoints). Radiomic features brought a small yet measurable boost in performance, with the SHAP values indicating that their contribution can be critical to successful prediction of endpoints for individual patients. MAEs were lower for low-risk patients, suggesting that the models find them easier to classify. The best model outperformed (p ≤ 0.0001) clinical baseline, resulting in significantly fewer false negative predictions and overall was less prone to under-staging. CONCLUSIONS: Our results highlight the potential benefit of integrative ML models for pathological status prediction in PCa. Additional studies regarding clinical integration of such models can provide valuable information for personalizing therapy offering a tool to improve non-invasive prediction of pathological status. CLINICAL RELEVANCE STATEMENT: The best machine learning model was less prone to under-staging of the disease. The improved accuracy of our pathological prediction models could constitute an asset to the clinical workflow by providing clinicians with accurate pathological predictions prior to treatment. KEY POINTS: • Currently, the most common strategies for pre-surgical stratification of prostate cancer (PCa) patients have shown to have suboptimal performances. • The addition of radiological features to the clinical features gave a considerable boost in model performance. Our best model outperforms the naïve model, avoiding under-staging and resulting in a critical advantage in the clinic. •Machine learning models incorporating clinical, radiological, and radiomics features significantly improved accuracy of pathological prediction in prostate cancer, possibly constituting an asset to the clinical workflow.

Identifying low cancer-specific mortality risk lymph node-positive radical prostatectomy patients.

OBJECTIVES: To identify low cancer-specific mortality (CSM) risk lymph node-positive (pN1) radical prostatectomy (RP) patients. METHODS: Within Surveillance, Epidemiology and End Results database (2010-2015) pN1 RP patients were identified. Kaplan-Meier plots and multivariable Cox-regression (MCR) models were used. Pathological characteristics were used to identify patients at lowest CSM risk. RESULTS: Overall, 2197 pN1 RP patients were identified. Overall, 5-year cancer-specific survival (CSS) rate was 93.3%. In MCR models ISUP GG1-2 (hazard ratio [HR]: 0.12, p < 0.001), GG3 (HR: 0.14, p < 0.001), GG4 (HR: 0.35, p = 0.002), pT2 (HR: 0.27, p = 0.012), pT3a (HR: 0.28, p = 0.003), pT3b (HR: 0.39, p = 0.009), and 1-2 positive lymph nodes (HR: 0.64, p = 0.04) independently predicted lower CSM. Pathological characteristics subgroups with the most protective hazard ratios were used to identify low-risk (ISUP GG1-3 and pT2-3a and 1-2 positive lymph nodes) patients versus others (ISUP GG4-5 or pT3b-4 or ≥3 positive lymph nodes). In Kaplan-Meier analyses, 5-year CSS rates were 99.3% for low-risk (n = 480, 21.8%) versus 91.8% (p < 0.001) for others (n = 1717, 78.2%). CONCLUSIONS: Lymph node-positive RP patients exhibit variable CSS rates. Within this heterogeneous group, those at very low risk of CSM may be identified based on pathological characteristics, namely ISUP GG1-3, pT2-3a, and 1-2 positive lymph nodes. Such stratification scheme might be of value for individual patients counseling, as well as in design of clinical trials.

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.

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.

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.

Differences in overall survival of penile cancer patients versus population-based controls.

PURPOSE: To assess whether 5-year overall survival (OS) of squamous cell carcinoma of the penis (SCCP) patients differs from age-matched male population-based controls. METHODS: We relied on the Surveillance Epidemiology and End Results database (2004-2018) to identify newly diagnosed (2004-2013) SCCP patients. For each case, we simulated an age-matched control (Monte Carlo simulation), relying on the Social Security Administration (SSA) Life Tables with 5 years of follow-up. We compared OS between SCCP patients and population-based controls in a stage-specific fashion. Smoothed cumulative incidence plots displayed cancer-specific mortality (CSM) versus other-cause mortality (OCM). RESULTS: Of 2282 SCCP patients, the stage distribution was as follows: stage I 976 (43%) versus stage II 826 (36%) versus stage III 302 (13%) versus stage IV 178 (8%). At 5 years, OS of SCCP patients versus age-matched population-based controls was as follows: stage I 63% versus 80% (Δ = 17%), stage II 50% versus 80% (Δ = 30%), stage III 39% versus 84% (Δ = 45%), stage IV 26% versus 87% (Δ = 61%). At 5 years, CSM versus OCM in SCCP patients according to stage was as follows: stage I 12% versus 24%, stage II 22% versus 28%, stage III 47% versus 14%, and stage IV 60% versus 14%. CONCLUSION: SCCP patients exhibit worse OS across all stages. The difference in OS at 5 years between SCCP and age-matched male population-based controls ranged from 17% to 61%. At 5 years, CSM accounted for 12% to 60% of all deaths, across all stages.

Survival of stage III non-seminoma testis cancer patients versus simulated controls, according to race/ethnicity.

BACKGROUND: It is unknown whether 5-year overall survival (OS) differs and to what extent between the American Joint Committee on Cancer stage III non-seminoma testicular germ cell tumor (NS-TGCT) patients and simulated age-matched male population-based controls, according to race/ethnicity groups. METHODS: We identified newly diagnosed (2004-2014) stage III NS-TGCT patients within the Surveillance Epidemiology and End Results database 2004-2019. For each case, we simulated an age-matched male control (Monte Carlo simulation), relying on Social Security Administration (SSA) Life Tables with 5 years of follow-up. We compared OS rates between stage III NS-TGCT patients and simulated age-matched male population-based controls, according to race/ethnicity groups (Caucasian, Hispanic, Asian/Pacific Islander and African American). Both, cancer-specific mortality (CSM) and other-cause mortality (OCM) were computed. RESULTS: Of 2054 stage III NS-TGCT patients, 60% were Caucasians versus 33% Hispanics versus 4% Asians/Pacific Islanders versus 3% African Americans. The 5-year OS difference between stage III NS-TGCT patients versus simulated age-matched male population-based controls was highest in Asians/Pacific Islanders (64 vs. 99%, Δ = 35%), followed by African Americans (66 vs. 97%, Δ = 31%), Hispanics (72 vs. 99%, Δ = 27%), and Caucasians (76 vs. 98%, Δ = 22%). The 5-year CSM rate was highest in Asians/Pacific Islanders (32%), followed by African Americans (26%), Hispanics (25%), and Caucasians (20%). The 5-year OCM rate was highest in African Americans (8%), followed by Caucasians (4%), Asians/Pacific Islanders (4%), and Hispanics (2%). CONCLUSION: Relative to SSA Life Tables, the highest 5-year OS disadvantage applied to stage III NS-TGCT Asian/Pacific Islander race/ethnicity group, followed by African American, Hispanic and Caucasian, in that order.

Multiparametric MRI-based 5-year Risk Prediction Model for Biochemical Recurrence of Prostate Cancer after Radical Prostatectomy.

Background Current predictive tools to estimate the risk of biochemical recurrence (BCR) after treatment of prostate cancer do not consider multiparametric MRI (mpMRI) information. Purpose To develop a risk prediction tool that considers mpMRI findings to assess the risk of 5-year BCR after radical prostatectomy. Materials and Methods In this retrospective single-center analysis in 1459 patients with prostate cancer who underwent mpMRI before radical prostatectomy (in 2012-2015), the outcome of interest was 5-year BCR (two consecutive prostate-specific antigen [PSA] levels > 0.2 ng/mL [0.2 µg/L]). Patients were randomly divided into training (70%) and test (30%) sets. Kaplan-Meier plots were applied to the training set to estimate survival probabilities. Multivariable Cox regression models were used to test the relationship between BCR and different sets of exploratory variables. The C-index of the final model was calculated for the training and test sets and was compared with European Association of Urology, University of California San Francisco Cancer of the Prostate Risk Assessment, Memorial Sloan-Kettering Cancer Center, and Partin risk tools using the partial likelihood ratio test. Five risk categories were created. Results The median duration of follow-up in the whole cohort was 59 months (IQR, 32-81 months); 376 of 1459 (25.8%) patients had BCR. A multivariable Cox regression model (referred to as PIPEN, and composed of PSA density, International Society of Urological Pathology grade group, Prostate Imaging Reporting and Data System category, European Society of Urogenital Radiology extraprostatic extension score, nodes) fitted to the training data yielded a C-index of 0.74, superior to that of other predictive tools (C-index 0.70 for all models; P ≤ .01) and a median higher C-index on 500 test set replications (C-index, 0.73). Five PIPEN risk categories were identified with 5-year BCR-free survival rates of 92%, 84%, 71%, 56%, and 26% in very low-, low-, intermediate-, high-, and very high-risk patients, respectively (all P < .001). Conclusion A five-item model for predicting the risk of 5-year BCR after radical prostatectomy for prostate cancer was developed and internally verified, and five risk categories were identified. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Aguirre and Ortegón in this issue.

External validation of the computerized analysis of TRUS of the prostate with the ANNA/C-TRUS system: a potential role of artificial intelligence for improving prostate cancer detection.

PURPOSE: Prostate cancer (PCa) imaging has been revolutionized by the introduction of multi-parametric Magnetic Resonance Imaging (mpMRI). Transrectal ultrasound (TRUS) has always been considered a low-performance modality. To overcome this, a computerized artificial neural network analysis (ANNA/C-TRUS) of the TRUS based on an artificial intelligence (AI) analysis has been proposed. Our aim was to evaluate the diagnostic performance of the ANNA/C-TRUS system and its ability to improve conventional TRUS in PCa diagnosis. METHODS: We retrospectively analyzed data from 64 patients with PCa and scheduled for radical prostatectomy who underwent TRUS followed by ANNA/C-TRUS analysis before the procedure. The results of ANNA/C-TRUS analysis with whole mount sections from final pathology. RESULTS: On a per-sectors analysis, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and accuracy were 62%, 81%, 80%, 64% and 78% respectively. The values for the detection of clinically significant prostate cancer were 69%, 77%, 88%, 50% and 75%. The diagnostic values for high grade tumours were 70%, 74%, 91%, 41% and 74%, respectively. Cancer volume (≤ 0.5 or greater) did not influence the diagnostic performance of the ANNA/C-TRUS system. CONCLUSIONS: ANNA/C-TRUS represents a promising diagnostic tool and application of AI for PCa diagnosis. It improves the ability of conventional TRUS to diagnose prostate cancer, preserving its simplicity and availability. Since it is an AI system, it does not hold the inter-observer variability nor a learning curve. Multicenter biopsy-based studies with the inclusion of an adequate number of patients are needed to confirm these results.

Effect of inguinal lymph node dissection in lymph node negative patients with squamous cell carcinoma of the penis.

INTRODUCTION: The survival benefit of inguinal lymph node dissection (ILND) vs no ILND in patients with squamous cell carcinoma of the penis (SCCP) and the absence of lymph node invasion is unclear. We addressed this uncertainty within the Surveillance, Epidemiology and End Results (SEER 2000-2018) database. MATERIAL AND METHODS: We identified lymph node negative SCCP patients who either underwent ILND (pN0) or clinical examination only (cN0). We tested for the effect of ILND vs no ILND on cancer-specific mortality (CSM) in Kaplan-Meier plots, univariable and multivariable Cox regression analyses, in a pT stage-specific fashion, before and after 1:3 propensity score matching (PSM). Sensitivity analyses were conducted according to historical and contemporary treatment periods as well as geographic regions. RESULTS: Of 2520 SCCP patients, 369 (15%) underwent ILND (pN0) vs 2151 (85%) did not (cN0). The pN0 vs cN0 distribution according to pT stages was as follows: 80 (7%) vs 1092 (93%) in pT1b, and 289 (21%) vs 1059 (79%) in pT2-3. At 36 months, CSM-free survival in pT2-3 stage was 89% in ILND vs 74% in no ILND patients (multivariable hazard ratio: 0.42, CI 0.30-0.60, p < 0.001). This result was confirmed in sensitivity analyses, and after 1:3 PSM. The same analyses could not be completed in pT1b stage due to insufficient number of observations and events. CONCLUSIONS: In pT2-3 stage SCCP, a significantly lower CSM was recorded in lymph node negative patients treated with ILND than in their clinical lymph node negative counterparts who did not undergo ILND.