GU Cancer Research Articles

Non-receipt of targeted and immunotherapies in diverse patients with metastatic cancers.

93 Background: The rapid evolution of molecularly targeted kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) in the treatment of metastatic cancer, coupled with high drug costs, raises potential for unwarranted variation in patient management. We evaluated correlates of non-receipt of TKIs and ICIs in a diverse, population-based sample of patients with metastatic non-small cell lung cancer (NSCLC), kidney and bladder (GU) cancer, and melanoma. Methods: We identified 2240 patients diagnosed in 2019 with metastatic NSCLC, GU cancer, or melanoma and reported to the Georgia or Los Angeles SEER registries. Using SEER registry data, we linked all patients to a managing oncology physician. We collected data from the managing physician regarding receipt of TKIs and ICIs. We used bivariate analyses and multivariable logistic regression models to assess associations between non-receipt of TKIs and ICIs and patient-level factors. Results: We present results for a preliminary sample (N=894). About half (55%) of the patients had NSCLC, 31% had GU cancer, and 14% had melanoma. The mean age was 62 (SD 12); 59% were male; 65% were White, 16% were Black, 11% were Hispanic, and 7% were Asian; 52% had Medicare, 29% had private insurance, 9% had Medicaid, and 4% had no insurance; 89% resided in urban areas, 11% resided in rural areas. 22% lived in a census tract area with >20% of the population living below the poverty level. The Table shows that in bivariate analyses, non-receipt of TKIs was associated with NSCLC, older age, male sex, non-white race, and non-private or no insurance (all p<0.05). After adjustment, non-receipt of TKIs was associated with NSCLC, older age, male sex, and race. Asian and Hispanic patients had lower rates of non-receipt, and Black patients had higher rates. In bivariate analyses, non-receipt of ICIs was associated with NSCLC and GU cancer (p=0.004); this association remained significant after adjustment. Conclusions: Non-receipt of TKIs was associated with important non-clinical factors including race and sex. Non-receipt of ICIs was associated only with cancer type. These findings suggest that policy-relevant factors such as out-of-pocket costs for oral cancer therapies and differential access to molecular sequencing may contribute to unwarranted variation in receipt of TKIs. Bivariate analyses of non-receipt. Did not Receive TKI Did not Receive ICI % P % P Cancer type NSCLC GU Melanoma 786572 0.002 313015 0.004 Age <50 50-64 65-74 75-84 85+ 5471757986 <0.001 2625302940 0.385 Sex Male Female 7670 0.048 2631 0.085 Race & Ethnicity White Black Hispanic Asian Other 7579655860 0.002 2329312927 0.981 Marital Status Married Unmarried 7373 0.645 2630 0.158 Insurance Medicare Medicaid Private Other government None 7075637080 <0.001 3130215031 0.101 Geography Urban Rural 7375 0.784 2826 0.567 % population below poverty level 0-5% 5-<10% 10-<20% 20-100% 69717774 0.314 29273222 0.138

1961O Nivolumab plus chemoradiotherapy in patients with non-metastatic muscle-invasive bladder cancer (nmMIBC), not undergoing cystectomy: A phase II, randomized study by the Hellenic GU Cancer Group

1961O Nivolumab plus chemoradiotherapy in patients with non-metastatic muscle-invasive bladder cancer (nmMIBC), not undergoing cystectomy: A phase II, randomized study by the Hellenic GU Cancer Group

Non-receipt of targeted and immunotherapies in diverse patients with metastatic cancers.

e13563 Background: The rapid evolution of molecularly targeted kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) in the treatment of metastatic cancer, coupled with high drug costs, raises potential for unwarranted variation in patient management. We evaluated correlates of non-receipt of TKIs and ICIs in a diverse, population-based sample of patients with metastatic non-small cell lung cancer (NSCLC), kidney and bladder (GU) cancer, and melanoma. Methods: We identified 2240 patients diagnosed in 2019 with metastatic NSCLC, GU cancer, or melanoma and reported to the Georgia or Los Angeles SEER registries. Using SEER registry data, we linked all patients to a managing oncology physician. We collected data from the managing physician regarding receipt of TKIs and ICIs. We used bivariate analyses and multivariable logistic regression models to assess associations between non-receipt of TKIs and ICIs and patient-level factors. Results: We present results for a preliminary sample (N=894). About half (55%) of the patients had NSCLC, 31% had GU cancer, and 14% had melanoma. The mean age was 62 (SD 12); 59% were male; 65% were White, 16% were Black, 11% were Hispanic, and 7% were Asian; 52% had Medicare, 29% had private insurance, 9% had Medicaid, and 4% had no insurance; 89% resided in urban areas, 11% resided in rural areas. 22% lived in a census tract area with ≥20% of the population living below the poverty level. The Table shows that in bivariate analyses, non-receipt of TKIs was associated with NSCLC, older age, male sex, non-white race, and non-private or no insurance (all p<0.05). After adjustment, non-receipt of TKIs was associated with NSCLC, older age, male sex, and race. Asian and Hispanic patients had lower rates of non-receipt, and Black patients had higher rates. In bivariate analyses, non-receipt of ICIs was associated with NSCLC and GU cancer (p=0.004); this association remained significant after adjustment. Conclusions: Non-receipt of TKIs was associated with important non-clinical factors including race and sex. Non-receipt of ICIs was associated only with cancer type. These findings suggest that policy-relevant factors such as out-of-pocket costs for oral cancer therapies and differential access to molecular sequencing may contribute to unwarranted variation in receipt of TKIs. [Table: see text]

Immune checkpoint inhibitor (ICI) rechallenge after immune-related adverse events (irAE) requiring hospitalization: A single-center 10-year experience.

e14609 Background: ICI rechallenge after irAE has become a significant clinical dilemma, with irAE recurrence rates of 30-40% after rechallenge. Here we examine factors influencing ICI rechallenge rates across a 10-year period at the Massachusetts General Hospital (MGH), where the Severe Immunotherapy Complications service is available to provide multidisciplinary irAE expertise. Methods: We included patients admitted to MGH for an irAE from August 2011 to July 2023. We collected baseline demographics, ICI regimens, and irAE features. The choice of ICI used at rechallenge was grouped into 3 categories: 1) restarting an ICI within the same class, 2) switching classes (CTLA-4 to PD-(L)1 or vice versa), or 3) de-escalating from combination to monotherapy. Chi-square and Mann-Whitney U tests were applied to descriptive statistics. Results: Among 5882 patients treated with ICI, 671 (11.4%) patients were admitted for irAE. The median age was 67.6 (IQR, 59-74.9) years and 58% were male. Initial ICI regimens consisted of anti-PD-(L)1 (64.8%), anti-CTLA4 (10.9%), and ICI combinations (24.3%). 174 of 671 patients (25.9%) were rechallenged after an irAE requiring hospitalization. Rechallenge was common after rheumatologic, endocrine, dermatologic irAE and GI irAE, but rare after cardiac, neurologic, or pulmonary irAE (Table 1). The median time to rechallenge was 25 days (IQR 18-91) after endocrine irAE and 72 days (IQR 40-209) after non-endocrine irAE (p<0.001). Rechallenge was more common in melanoma (35%, p<0.001), and less common in lung (13.6%, p<0.001) and GU cancers (10%, p=0.003). Rechallenge rates were significantly higher in patients initially on combination therapy (39.6%) versus PD-(L)1 monotherapy (15.5%), p<0.001. Of those rechallenged, 43.2% initially on combination therapy were de-escalated to monotherapy and 53% were restarted within the same class. Amongst the PD-(L)1 monotherapy group, 88.4% were restarted within the same class and 11.6% switched classes. Conclusions: Here we examine practice patterns at a large academic center, where 25.9% of patients with irAE requiring hospitalization were rechallenged. Rechallenge was more prevalent in patients with melanoma or on ICI combination therapy, whereas it was less frequent following cardiac, neurologic, or pulmonary irAE. Under adequate risk-benefit evaluation, close monitoring, and multidisciplinary care, ICI rechallenge can be considered. [Table: see text]

Prevalence of polypharmacy, drug-drug interactions, and inappropriate prescription in elderly patients with urological cancers.

e23312 Background: Around 50% of new cancer diagnoses occur in patients (pts) > 65 years. Older adults tend to have more comorbidities and therefore prescription of several drugs. Polypharmacy (PP) [defined as prescription of > 5 drugs] has been identified as a prognostic factor and might also lead to relevant drug-drug interactions (DDI) and it is also associated in occasions with inappropriate prescriptions (IP). This study aims to determine prevalence of PP, DDI and potential IP in a uro-oncology clinic. Methods: Pts ≥ 70 years with urological tumors consecutively seen in a medical oncology clinic [May 1st- August31st2023] were offered to complete a questionnaire that included questions about drugs regularly taken, doses, frequency, objective of the treatment along with some key epidemiological data. A descriptive analysis of this information was performed to identify PF along with a search for DDI ( DrugDex ®) and IP (STAR/STOPP criteria). Results: 91 pts agreed to participate and 87 complete the questionnaires. Mean age was 76 years (range 70-91) and 84.5% were men; 64%, 31 and 5% had ECOG 0,1 and 2 respectively. The predominant cancer type was bladder (41%), followed by prostate (40%) and kidney cancer (19%). Polypharmacy was identified in 54 pts (62%), with 12 pts (22%) having ≥ 10 drugs prescribed. Two cases (2%) of duplicity of treatment were found (laxative; hypnotic). Ninety-five major and 37 moderate DDI were detected, of which 8 occurred between anticancer drugs (abiraterone, pazopanib, everolimus and carboplatin) and outpatient treatments. An IP analysis is being currently conducted and data will be presented at the meeting. Conclusions: Our study shows a high prevalence of polypharmacy in older adults with urological tumors and a significant rate of drug-drug interactions including interferences with oncological treatments. These results highlight the need for careful reviewing and monitoring the drugs prescribed to our patients in the clinic and calls for strengthen collaborations with pharmacists and nurses to optimize integral management of GU cancer patients.

Antibody-Drug Conjugates in the Treatment of Genitourinary Cancers: An Updated Review of Data.

The treatment landscape of genitourinary cancers has significantly evolved over the past few years. Renal cell carcinoma, bladder cancer, and prostate cancer are the most common genitourinary malignancies. Recent advancements have produced new targeted therapies, particularly antibody-drug conjugates (ADCs), due to a better understanding of the underlying oncogenic factors and molecular mechanisms involved. ADCs function as a 'drug delivery into the tumor' system. They are composed of an antigen-directed antibody linked to a cytotoxic drug that releases cytotoxic components after binding to the tumor cell's surface antigen. ADCs have been proven to be extremely promising in the treatment of several cancer types. For GU cancers, this novel treatment has only benefited patients with metastatic urothelial cancer (mUC). The rest of the GU cancer paradigm does not have any FDA-approved ADC treatment options available yet. In this study, we have thoroughly completed a narrative review of the current literature and summarized preclinical studies and clinical trials that evaluated the utility, activity, and toxicity of ADCs in GU cancers, the prospects of ADC development, and the ongoing clinical trials. Prospective clinical trials, retrospective studies, case reports, and scoping reviews were included.

The potential role of precision medicine to alleviate racial disparities in prostate, bladder and renal urological cancer care.

Racial disparities in oncological outcomes resulting from differences in social determinants of health (SDOH) and tumour biology are well described in prostate cancer (PCa) but similar inequities exist in bladder (BCa) and renal cancers (RCCs). Precision medicine (PM) aims to provide personalized treatment based on individual patient characteristics and has the potential to reduce these inequities in GU cancers. This article aims to review the current evidence outlining racial disparities in GU cancers and explore studies demonstrating improved oncological outcomes when PM is applied to racially diverse patient populations. Evidence was obtained from Pubmed and Web of Science using keywords prostate, bladder and renal cancer, racial disparity and precision medicine. Because limited studies were found, preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were not applied but rather related articles were studied to explore existing debates, identify the current status and speculate on future applications. Evidence suggests addressing SDOH for PCa can reverse racial inequities in oncological outcomes but differences in incidence remain. Similar disparities in BCa and RCC are seen, and it would be reasonable to suggest achieving parity in SDOH for all races would do the same. Research applying a PM approach to different ethnicities is lacking although in African Americans (AAs) with metastatic castrate-resistant prostate cancer (mCRPCa) better outcomes have been shown with androgen receptor inhibitors, radium-223 and sipuleucel. Exploiting the abscopal effect with targeted radiation therapy (RT) and immunotherapy has promise but requires further study, as does defining actionable mutations in specific patient groups to tailor treatments as appropriate. For all GU cancers, the historical underrepresentation of ethnic minorities in clinical trials still exists and there is an urgent need for recruitment strategies to address this. PM is a promising development with the potential to reduce inequities in GU cancers, however, both improved understanding of race-specific tumour biology, and enhanced recruitment of minority populations into clinical trials are required. Without this, the benefits of PM will be limited.

Secondary primary malignancies among patients with GU cancer.

98 Background: The risk of secondary primary malignancies (SPM) among the survivors of GU cancer is not well-established. In this study, we attempt to describe the patterns of SPMs in patients diagnosed with GU cancers. Methods: The Surveillance, Epidemiology, and End Results (SEER) database (SEER*Stat 8.4.2) was searched to obtain data on the incidence of SPM in adult patients (age >18 years) diagnosed with GU cancers, including prostate, renal, and bladder cancer. Standardized incidence ratios (SIRs) with a 95% confidence interval (CI) were calculated. SIR was defined as the observed SPMS from each category divided by the expected number of SPMs in the age-matched US population for the same period. The data was further stratified by age (<50y, 50-70y, >70y), race (White, Black, Asian/Pacific Islander), ethnicity (Hispanic, non-Hispanic), chemotherapy, and radiotherapy exposure. Results: A total of 1,041,217 patients were included in this analysis. In patients diagnosed with GU cancer, the incidence of overall SPM was 11%. Particularly, patients with GU cancers were observed to have a high incidence of Endocrine system SPM (1.52; 1.45-1.59), and urinary system SPM (1.51; 1.49-1.53) These results were consistent by different sociodemographic groups. In patients diagnosed with prostate cancer, the incidence of thyroid SPM was increased (1.31; 1.23-1.39). Particularly, prostate cancer patients treated with radiation therapy had increased incidence rates of SPM in the peritoneum, omentum and mesentery (1.57; 0.79-2.81) and urinary bladder (1.36;1.32-1.40) was higher as compared to those with no exposure to radiation therapy (1.11;1.08-1.13 and 1.03;1-1.06 respectively). Bladder cancer patients had an overall increased incidence of SPM in the esophagus (1.21; 1.08-1.35), lung, bronchus, trachea, and other respiratory organs (1.97;1.92-2.01), prostate (3.50;3.4-3.6) and kidney (1.86;1.76-1.97). A higher incidence of renal pelvis, ureter and other urinary organ SPM (11.08;10.48-11.07) was also notable in this population. Similarly, kidney cancer patients had a higher incidence of the endocrine system (3.00;2.74-3.27), prostate (1.24;1.2-1.29) and bladder 1.78;1.68-1.79 SPMs. Conclusions: This population-based study shows an increased risk of SPM development in GU cancer survivors compared to the general population. Clinicians should keep a high index of suspicion for SPMs and initiate appropriate workups at early warning signs.

Racial disparities in GU cancer metastasis: A comprehensive analysis from 2010-2018.

30 Background: Patterns of metastatic spread vary between bladder, kidney, and prostate metastasis. Of these cancers, kidney cancer often spreads to the brain, while prostate cancer is most likely to spread to bone, for example. Sites of metastasis can influence prognosis and in some instances may even direct therapy. The knowledge gap on racial disparities in metastatic patterns merits further investigation. Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database, we identified bladder, kidney, and prostate cancer patients (2010-2018) in White (W) and Black (B) races. Data on metastasis to the lungs, liver, bones, and brain at diagnosis were extracted. The relative risk (RR) was calculated to compare the metastatic patterns between Black and White patients. P-value, and confidence interval were computed using SPSS 28.0. Results: 3.95% of Black and 1.65% of White patients had metastasis at diagnosis. Black patients had metastasis prevalence of 3.2% lung, 1.8% liver, 4.4% bone, and 0.3% brain. Comparatively, White patients had 1.3%, 0.8%, 3.2%, and 0.3% respectively. For bladder cancer, Black patients had a 60% higher risk for bone and lung metastasis and double the risk for liver metastasis compared to White patients. In kidney cancer, Black patients had a 90% higher brain metastasis risk but 20% lower for bone and lung than White patients. For prostate, Black patients had comparatively heightened risks of bone, lung, and liver metastases by 10%, 20%, and 30%, respectively. Conclusions: Racial disparities are evident in GU cancer metastatic patterns at time of diagnosis. Black patients especially have higher liver metastasis, often associated with poor prognosis. Further studies are vital to unravel biological, socioeconomic, and other contributing factors. [Table: see text]

Racial disparities in genitourinary cancer mortality trends in the United States, 2000-2020: A CDC database study.

28 Background: Prostate, bladder, and kidney cancers account for substantial burden of cancer incidence and mortality in the United States. In 2020, an estimated 168,000 new cases and 32,000 deaths were attributed to these cancers. Studies examining racial disparities of mortality trends are needed. Methods: We utilized the CDC WONDER database to obtain mortality data for kidney, bladder, and prostate cancers between 2000-2020. Age-adjusted mortality rates per 100,000 persons were calculated and standardized to the Year 2000 US standard population. Rates were stratified by race, including White, Black, Asian/Pacific Islander (API), and American Indian/Alaska Native (AIAN). The National Cancer Institute Joinpoint Regression Program was utilized to calculate average annual percent changes (AAPCs). AAPCs were considered significant if the 95% confidence interval (CI) excluded zero. Results: Over the study period, 318,919 kidney cancer deaths, 150,613 bladder cancer deaths, and 516,508 prostate cancer deaths were identified. Between 2000-2020, amongst all races, mortality from prostate cancer (-1.8%; CI -2.0, -1.6), bladder cancer (-0.3%; CI -0.5, -0.2), and kidney cancer (-1.1%; CI -1.2, -0.9) all significantly declined. Considering racial disparities, prostate cancer mortality fell considerably in all race groups, most significantly among Black (-2.8%, CI -3.2%, -2.4%) and AIAN (-2.4%, CI -2.9%, -1.8%) populations, outpacing reductions in API (-1.7%, CI -2.6%, -0.8%) and White (-1.6%, CI -1.9%, -1.4%) populations. In bladder cancer, the decline in mortality was statistically significant for Black (AAPC: -0.8%, CI -1.1%, -0.6%) and for White, (-0.4%, CI -0.6%, -0.1%), but not for API individuals (-0.3%, CI -0.9%, 0.3%). For kidney cancer, mortality dropped substantially across all examined races, with the steepest decline seen in Black (-1.4%, CI -1.7%, -1.2%) and AIAN (-1.7%, CI -2.5%, -1.0%) compared to White (-1.0%, CI -1.2%, -0.9%) and API (-1.4%, CI -4.2%, 1.6%, non-significant) population. Conclusions: This study represents the most comprehensive population database analysis assessing GU cancer mortality trends. While an overall decline in GU cancer mortality was observed, which was comparatively greater for Black Americans over the past two decades, significant racial disparities continue to persist. Focused and targeted efforts are essential to address these disparities. [Table: see text]

15 years of patient-reported outcomes in clinical trials leading to GU cancer drug approvals: a systematic review on the quality of data reporting and analysis

Standardized, high-quality PRO data reporting is crucial for patient centered care in the field of oncology, especially in clinical trials that establish standard of care. This study evaluated PRO endpoint design, conduct and reporting methods in FDA approved drugs for GU malignancies. A systematic review of the FDA archives identified GU cancer drug approvals from Feb 2007 to July 2022. ClinicalTrials.gov and PubMed were used to retrieve relevant data. PRO data was screened, and analytic tools, interpretation methods in the published papers and study protocols were reviewed. Compliance with PRO reporting standards were assessed using PRO Endpoint Analysis Score (PROEAS), a 24-point scoring scale from Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium (SISAQOL). We assessed 40 trial protocols with 27,011 participants, resulting in 14 renal cell cancer (RCC), 16 prostate cancer (PC), and 10 urothelial cancer (UC) approvals. PRO data was published for 27 trials, with 23 PRO publications (85%) focusing solely on PRO data, while 4 (15%) included PRO data in the original paper. Median time between primary clinical and secondary paper with PRO data was 10.5 months (range: 9-25 months). PROs were not planned as primary endpoints for any study but 14 (52%) reported them as secondary, 10 (37%) as exploratory outcomes, and 3 (11%) lacked any clarity on PRO data as endpoint. Mean PROEAS score of all GU cancers was 11.10 (range: 6-15), RCC (11.86, range: 6-15), UC (11.50, range: 9-14), and PC (10.56, range: 6-15). None metall the SISAQOL recommendations. Low overall PROEAS score and delays in PRO data publication in GU cancer drug trials conducted in the past decade emphasize the need for improvement in quality of design and conduct of PRO endpoint in future trials and accelerated publication of PRO endpoints, using standardized analysis, and prespecified hypothesis driven endpoint. These improvements are essential for facilitating interpretation and application of PRO study findings to define patient care. None.

Proceedings From the 5th B2B Uro-Oncology: GU Cancers Triad Meeting: Prostate Cancer

None.

Proceedings From the 5th B2B Uro-Oncology: GU Cancers Triad Meeting: Kidney Cancer

None.

Geriatric pre-surgical optimization in the NCORP (Alliance).

370 Background: Mounting evidence suggests tailored preparation targeting geriatric vulnerabilities can improve functional outcomes after major surgery in older adults. Although many surgeons express interest in surgical optimization of older patients, few practices have the time or expertise to deliver geriatric prehabilitation before surgery. This study investigated the effectiveness of OPTI-Surg, a frailty prehabilitation toolkit, for improving surgical outcomes. In this abstract, we report adherence to the OPTI-Surg toolkit in the intervention arm. Methods: Thoracic (T), gastrointestinal (GI), and urologic (GU) oncological surgery practices affiliated with NCI’s Community Oncology Research Program (NCORP) were randomized 1:1:1, stratified by practice type, to usual care (control), OPTI-Surg toolkit, or OPTI-Surg with an implementation coach. The toolkit was implemented at the practice level and consisted of the 12-item Edmonton Frail Scale (EFS) and guided recommendations for interventions including referrals directed at identified vulnerabilities. Eligible patients were ≥70 years old and undergoing curative intent surgery for T, Gl, or GU cancers. Results: From July 2019 to October 2021, 155 patients were enrolled in the OPTI-Surg intervention arm. The EFS was administered to 153 (98.7%) of the enrolled patients, 143 of whom went on to have surgery. Overall, 134 (93.7%) surgical patients had at least one deficit identified on the EFS assessment and 55 (41.0%) of these patients received a recommended referral intended to optimize surgical outcomes. Among the 55 patients who received referrals, 44 (80.0%) followed through on the referral. Individual deficit rates were highest for medication use, general health status, and functional performance, and referrals were most frequently made for deficits in continence and functional independence (Table). Conclusions: In the OPTI-Surg geriatric surgical optimization trial, implementation of the frailty screening with the EFS assessment was successful. Rates of recommended referrals for patients with identified deficits, however, were low. When referred, most patients followed through for targeted prehabilitation. Clinical trial information: NCT03857620 .[Table: see text]

1073P Overcoming resistance to immunotherapy with FGFR inhibition in GU cancer models

1073P Overcoming resistance to immunotherapy with FGFR inhibition in GU cancer models

Determining the Optimal Sequence of Immunotherapy and Lymph Node Irradiation among Patients with Cancer: A Propensity Score Matched Analysis

Immunotherapy (IT) and lymph node irradiation (LNI) are essential cancer treatment modalities. In combination, the optimal sequence to enhance tumor response is poorly understood. While LNI depletes radiosensitive IT-related immune cells, LNI also provides an immunostimulatory effect by shedding tumor neoantigens in the microenvironment. Here we aim to 1) assess IT and LNI sequence patterns among patients with common cancers, 2) evaluate propensity score (PS) matched overall survival (OS) between IT first and LNI first treatments, and 3) compare OS by cancer site. A PS matched retrospective cohort study was conducted using the National Cancer Database. The primary endpoint was OS (time from diagnosis to death). Patients age ≥18 years with breast, GI (pancreas, colorectal, liver), GU (prostate, kidney, bladder), lung, lymphoma, melanoma, and oral cavity cancers were included. All patients underwent both IT and LNI and those with incomplete treatment timing were excluded. IT followed by LNI (IT first) was compared to LNI followed by IT (LNI first). PS were performed with 1:1 matching and a standard mean difference cutoff of 0.1 for covariate balancing. PS matched age, stage, comorbidity index, facility type, and upfront lymph node surgery. Unadjusted Kaplan-Meier (KM) estimates with log-rank tests assessed OS. Multivariable Cox proportional hazard (CPH) models adjusted for patient demographics compared IT first versus LNI first with adjusted hazard ratios (aHR) and 95% confidence intervals (95% CI). Models were stratified by cancer site. A total of 23,238 patients treated with IT and LNI were included, 88% of patients underwent IT first. Median (interquartile range [IQR]) age and follow-up were 57 (48-66) years and 39 (27-53) months, respectively. Cancers included 74% breast, 8% oral cavity, 6% GI, 5% lymphoma, 4% lung, 2% GU, and 1% melanoma. Median (IQR) weeks to treatment were 7 (4-13) for IT first and 8 (4-17) for LNI first. On unadjusted analysis, OS was significantly inferior with LNI first for overall (p<.0001), breast (p<.0001), GI (p = .004), lymphoma (p = .0003), and oral cavity cancer (p = .005). There were no significant differences in OS for GU, lung, and melanoma. On PS matched adjusted CPH analysis, LNI first had significantly higher risk of death overall (aHR = 3.2, 95% CI = 3.0-3.4), compared to IT first. PS matched cancer stratified analyses found OS was significantly inferior with LNI first for breast (aHR = 1.5, 95% CI = 1.2-1.8), GI (aHR = 1.2, 95% CI = 1.1-1.4), GU (aHR = 1.3, 95% CI = 1.0-1.8), lymphoma (aHR = 1.8, 95CI = 1.3-2.6), and oral cavity cancer (aOR = 1.3, 95% CI = 1.1-1.5). PS matched analyses revealed superior OS for patients receiving IT first then LNI for breast, GI, GU, lymphoma, and oral cavity cancers. These findings suggest the importance of an intact immune system prior to IT. Future prospective studies are warranted to validate these findings.

Exploring Clinical Decision-Making among the Uro-oncology Multidisciplinary Team: A Qualitative Study

ObjectiveThe aim of this qualitative study was to understand the clinical decision-making process among the genitourinary oncology (GU) multidisciplinary team (MDT) and how patients are engaged in the process. Data SourcesA qualitative descriptive study design was conducted and has been reported according to the Consolidated Criteria for Reporting Qualitative Studies (COREQ). Members of the GU MDT were recruited from a metropolitan tertiary hospital and cancer regional center in Australia serving a population of 550,000. Semistructured interviews were conducted, and the audiorecordings were transcribed; an inductive thematic analysis was used to provide insight from multiple perspectives. ConclusionThree themes emerged: (1) the role and scope of the uro-oncology MDT, (2) lack of person-centered clinical decision-making, and (3) the barriers and facilitators. Amid the COVID-19 pandemic, the MDT discussions transitioned to virtual application, which was found to be convenient and efficient and improved attendance. The GU cancer MDT had a prominent biomedical focus that lacked person-centered considerations. Additional research is needed to explore how person-centered outcomes can be incorporated into the clinical decision-making process. Implication for Nursing PracticeThe GU MDT is increasingly important in the care of uro-oncology patients. There appears to be barriers to the implementation of person-centered discussions in the MDT. The effective delivery of multidisciplinary care is contingent on an appropriate mechanism for collaborative communication between all MDT members and patients given the limited involvement of the patient in the MDT itself.

PD32-05 FACILITY-LEVEL DISPARITIES IN THE DELIVERY OF GUIDELINE-BASED TREATMENT ACROSS GENITOURINARY CANCERS

You have accessJournal of UrologyCME1 Apr 2023PD32-05 FACILITY-LEVEL DISPARITIES IN THE DELIVERY OF GUIDELINE-BASED TREATMENT ACROSS GENITOURINARY CANCERS Julie Szymaniak, Li Zhang, Sima Porten, Maxwell Meng, Matthew Cooperberg, Peter Carroll, and Samuel Washington Julie SzymaniakJulie Szymaniak More articles by this author , Li ZhangLi Zhang More articles by this author , Sima PortenSima Porten More articles by this author , Maxwell MengMaxwell Meng More articles by this author , Matthew CooperbergMatthew Cooperberg More articles by this author , Peter CarrollPeter Carroll More articles by this author , and Samuel WashingtonSamuel Washington More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003325.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Disparities in guideline-based treatment (GBT) for genitourinary cancers are commonly presented individually, impeding comprehensive examinations by of institutional drivers. Using GBT as a proxy for the quality of urologic cancer care received, we aim to characterize the prevalence of disparities in GBT for prostate (PCa), bladder (BCa), and kidney (KCa) cancer within the same facility to evaluate whether disparities cluster at the institutional level. METHODS: Patients diagnosed with clinically localized bladder, prostate, or kidney cancer between 2004-2017 within each National Cancer Database dataset were included. We collected clinicodemographics, treatment received, and facility data. GBT was defined according to NCCN Guidelines by TNM staging [Table 1]. We calculated rates of GBT by cancer type and race and compared rates between White, Black, Hispanic, and Asian patients using Chi-squared tests. Pairwise correlations in GBT rates between PCa, BCa, and KCa treated across and within facilities were estimated using Pearson correlation coefficients, where facilities with <10 cases of each cancer were excluded. RESULTS: We identified 91904 BCa, 73,050 KCa, and 252,403 PCa cases. BCa GBT was highest for White and Asian patients (50.5% and 48.6%, respectively) versus 42.2% for Black patients. KCa GBT rates were equivalent for White, Hispanic, and Asian patients (∼76%) but lowest for Black patients (74.8%). In PCa, the highest GBT rate was 80.8% (White patients) and lowest was 76.5% (Black patients).After controlling for confounding variables and matching based on cohort size, intra-facility odds of receipt of GBT by Black patients (compared to White counterparts) correlated poorly across cancer types for all comparisons. This was true even when restricting analysis to higher-volume facilities (>200 patients), with r=0.1 for bladder-kidney, 0 for bladder-prostate, and 0.12 for kidney-prostate; p-value >0.05. Correlation coefficients at academic medical centers were highest among the four facility types, though still low (e.g., r=0.31 prostate-bladder). CONCLUSIONS: Our findings show that higher quality of care may cluster in a small proportion of facilities, but overall there is little correlation between disparities in GBT across GU cancers and race treated in the same facility. Source of Funding: UCSF © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e908 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Julie Szymaniak More articles by this author Li Zhang More articles by this author Sima Porten More articles by this author Maxwell Meng More articles by this author Matthew Cooperberg More articles by this author Peter Carroll More articles by this author Samuel Washington More articles by this author Expand All Advertisement PDF downloadLoading ...

Cabozantinib + nivolumab in adult patients with advanced or metastatic renal cell carcinoma: A retrospective, non-interventional study in a real-world cohort.

628 Background: Standard treatment for 1st-line mRCC are IO-combinations. Data from real-world collectives are rare. In this multicenter study, we therefore evaluated safety and effectiveness of cabozantinib/nivolumab in Germany. Methods: Data were collected retrospectively from eight GU cancer centres in Germany. Patients (pts) with advanced or metastatic renal cell carcinoma (mRCC) were eligible. Treatment with cabozantinib 40 mg orally + nivolumab 240 or 480 mg i.v. was mandatory and administered according to routine care. Adverse events (AEs) were reported according to CTCAE 5.0. Objective response rate per RECIST 1.1 and Progression Free Survival (PFS) were calculated from start of treatment to progression or death. Descriptive statistics and KM-plots were utilized, where appropriate. Results: 67 suitable pts (62.7% male) with median age of 67.6 years were included. The most common histology was clear cell RCC (ccRCC) in 67.2% (n=45). Nephrectomy was performed in 56.7% (n=38). ECOG 0-1 was 76.1% (n=51). IMDC scores were: 0 in 11 (16.4%), ≥ 1 in 45 (67.1%), missing in 11 pts (16.4%). 29.9% (n=20) required dose reductions or interruptions. Partial response was documented in 46.3% (n=31), stable disease in 32.8% (n=22), and progressive disease in 4.5% (n=3) as best overall response. Data were missing in 14.9% (n=10). Median Follow-up was 8.3 mo, median treatment duration was 6.0 months, PFS rate at 6 month was 81.9% overall (79.3% for ccRCC; 85.9% for non-ccRCC). AEs (all grades) were reported in 82.1% (n=55) and 47.8% (n=32) for grade 3-5. Elevated liver enzymes (40.3%), diarrhea (22.4%) and hand-foot-syndrome (20.9%) were the 3 most frequent AEs of any grade and causality. Conclusions: In this real-world cohort of mRCC pts. cabozantinib + nivolumab was shown to be safe and feasible. While no new safety signals were reported, a reduced dose was frequently utilized. Our data support the use of cabozantinib + nivolumab as a first-line standard. Major limitations were the retrospective data capture and short follow-up of our study.

Facility-level disparities in the delivery of guideline-based treatment across genitourinary cancers.

456 Background: Disparities in guideline-based treatment (GBT) for genitourinary cancers are commonly presented individually, impeding comprehensive examinations of institutional drivers. While patient-level factors impacting disparities in treatment have been well documented, our understanding of how race-based disparities in treatment exist at the institution level remains relatively limited. In this study, we aim to characterize the prevalence of disparities in GBT for prostate (PCa), bladder (BCa), and kidney (KCa) cancer within the same facility to evaluate whether disparities cluster at the institutional level. Methods: Patients diagnosed with clinically localized (cT2-4aNX-1MX-0) bladder, (cT2b-4NX-0MX-0) prostate, or (cT2a-3cNX-1MX-0) kidney cancer between 2004-2017 within each National Cancer Database dataset were included. We collected clinicodemographics, treatment received, and facility data. GBT was defined according to NCCN Guidelines by TNM staging. We calculated rates of GBT by cancer type and race and compared rates between White, Black, Hispanic, and Asian patients using Chi-squared tests. Pairwise correlations in GBT rates between PCa, BCa, and KCa treated across and within facilities were estimated using Pearson correlation coefficients, where facilities with &lt;10 cases of each cancer were excluded. Results: We identified 91904 BCa, 73,050 KCa, and 252,403 PCa cases. Overall, unadjusted GBT rates for BCa (41%, SD 18%) were significantly lower than for KCa (72%, SD 17%) and PCa (77%, SD 16%), all p&lt;0.001. Correlation coefficients at academic medical centers were highest among the four facility types, though still low (r=0.31 prostate-bladder, 0.39 prostate-kidney, 0.39 bladder-kidney). BCa GBT was highest for White and Asian patients (50.5% and 48.6%, respectively) versus 42.2% for Black patients. KCa GBT rates were equivalent for White, Hispanic, and Asian patients (~76%) but lowest for Black patients (74.8%). In PCa, the highest GBT rate was 80.8% (White patients) and lowest was 76.5% (Black patients). After controlling for confounding variables and matching based on cohort size, intra-facility odds of receipt of GBT by Black patients (compared to White counterparts) correlated poorly across cancer types for all comparisons. This was true even when restricting analysis to higher-volume facilities (&gt;200 patients), with r=0.1 for bladder-kidney, 0 for bladder-prostate, and 0.12 for kidney-prostate; p-value &gt;0.05. Conclusions: Our findings show that, overall, there is little correlation between racial disparities in GBT across GU cancers treated in the same facility. As we push further for interventions to combat racial inequities in healthcare, we must continue to explore their prevalence within the context of a multi-disease and multi-level paradigm to identify systems-level factors that perpetuate their existence.