The incidence, pathogenesis, and management of non-clear cell renal cell carcinoma.

Renal cell carcinoma (RCC) is the most common type of kidney cancer and is divided into two distinct subtypes, clear cell renal cell carcinoma (ccRCC) and non-clear cell renal cell carcinoma (nccRCC). Although many treatments exist for RCC, these are largely based on clinical trials performed in ccRCC and there are limited studies on the management of nccRCC. Non-clear cell RCC consists of multiple histological subtypes: papillary, chromophobe, translocation, medullary, collecting duct, unclassified, and other rare histologies. Due to variations in pathogenesis and therapeutic response, therapy should be tailored to specific variant histologies. For patients with localized nccRCC, surgical resection remains the gold standard. In the metastatic setting, the standard of care has yet to be clearly defined, and most guidelines recommend clinical trial participation. General therapeutic options include immunotherapy, either as monotherapy or in combination, targeted therapies such as vascular endothelial growth factor tyrosine kinase inhibitors and MET inhibitors, and chemotherapy in certain subtypes. Here we present a review of the incidence and pathogenesis of the various subtypes, as well as available clinical data to support therapeutic recommendations for these subtypes. We also highlight currently available clinical trials in nccRCC and future directions in investigating novel treatment modalities tailored to patients with variant histology.

Low-Value Prostate-Specific Antigen Screening in Older Males.

Importance: The US Preventive Services Task Force guidelines advise against prostate-specific antigen (PSA) screening for prostate cancer in males older than 69 years due to the risk of false-positive results and overdiagnosis of indolent disease. However, this low-value PSA screening in males aged 70 years or older remains common. Objective: To characterize the factors associated with low-value PSA screening in males 70 years or older. Design, Setting, and Participants: This survey study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a nationwide annual survey conducted by the Centers for Disease Control and Prevention that collects information via telephone from more than 400 000 US adults on behavioral risk factors, chronic illnesses, and use of preventive services. The final cohort comprised male respondents to the 2020 BRFSS survey who were categorized into the following age groups: 70 to 74 years, 75 to 79 years, or 80 years or older. Males with a former or current prostate cancer diagnosis were excluded. Main Outcomes and Measures: The outcomes were recent PSA screening rates and factors associated with low-value PSA screening. Recent screening was defined as PSA testing within the past 2 years. Weighted multivariable logistic regressions and 2-sided significance tests were used to characterize factors associated with recent screening. Results: The cohort included 32 306 males. Most of these males (87.6%) were White individuals, whereas 1.1% were American Indian, 1.2% were Asian, 4.3% were Black, and 3.4% were Hispanic individuals. Within this cohort, 42.8% of respondents were aged 70 to 74 years, 28.4% were aged 75 to 79 years, and 28.9% were 80 years or older. The recent PSA screening rates were 55.3% for males in the 70-to-74-year age group, 52.1% in the 75-to-79-year age group, and 39.4% in the 80-year-or-older group. Among all racial groups, non-Hispanic White males had the highest screening rate (50.7%), and non-Hispanic American Indian males had the lowest screening rate (32.0%). Screening increased with higher educational level and annual income. Married respondents were screened more than unmarried males. In a multivariable regression model, discussing PSA testing advantages with a clinician (odds ratio [OR], 9.09; 95% CI, 7.60-11.40; P < .001) was associated with increased recent screening, whereas discussing PSA testing disadvantages had no association with screening (OR, 0.95; 95% CI, 0.77-1.17; P = .60). Other factors associated with a higher screening rate included having a primary care physician, a post-high school educational level, and income of more than $25 000 per year. Conclusions and Relevance: Results of this survey study suggest that older male respondents to the 2020 BRFSS survey were overscreened for prostate cancer despite the age cutoff for PSA screening recommended in national guidelines. Discussing the benefits of PSA testing with a clinician was associated with increased screening, underscoring the potential of clinician-level interventions to reduce overscreening in older males.

Functional outcomes after prostate cancer treatment: A comparison between single and multiple modalities.

Prostate cancer is a widely common and treatable disease, and functional outcomes can greatly affect survivor quality of life. A retrospective review of the SEER-Medicare database was performed to identify patients who underwent prostate cancer treatment between January 1, 2004 and December 31, 2013 and review the rates of diagnosis and treatment of common functional side effects of surgery, radiation, or a combination of the 2 and perform a comparison of the outcomes. A total of 67,527 patients were included in the analysis. Radiation therapy (RT)-only compared to radical prostatectomy (RP)-only had lower rates of diagnosis of erectile dysfunction (30.4%, 95% CI 29.9%-30.9% vs. 56.1%, 95% CI 55.1%-57.04%, P < 0.0001), UI (29.7%, 95% CI 29.0%-30.3% vs. 44.5%, 95% CI 43.3%-45.6%, P < 0.0001), but higher rates of urethral stricture disease (8.44%, 95% CI 8.1%-8.8% vs. 5.35%, 95% CI 4.9%-5.9%, P < 0.0001), cystitis (33.1% 95% CI 32.4%-33.7% vs. 20.3%, 95% CI 19.2%-21.4%, P < 0.0001), and proctitis (14.7%, 95% CI 14.3%-15.1& vs. 2.75%, 95% CI 2.3%-3.3%, P < 0.0001). Compared to either single modality, the RP-then-RT group had higher incontinence medication use (12.0% 95% CI 10.8%-13.2% vs. 9.8%, 95% CI 9.5%-10.1% for RT-only and 8.3%, 95% CI 7.8%-8.8% for RP-only, P < 0.0001), overall incontinence therapy (18.5%, 95%CI 17.1%-20.0% vs. 10.2%, 95%CI 9.9%-10.5% for RT-only and 14.9%, 95% CI 14.3%-15.5% for RP-only, P < 0.0001), and stricture therapy (12.7%, 95% CI 11.5%-13.9% vs. 8.2%, 95% CI 8.0%-8.5% for RT-only and 9.1% 95% CI 8.6%-9.6% for RP-only, P < 0.0001). The RT-then-RP group had higher rates of stricture (25.4% compared to 8.2% for RT-only, 9.1% for RP-only, and 12.7% for RP-then-RT) and fistula (1.0% compared to 0.07% for RT-only, 0.18% for RP-only, and 0.092% for RP-then-RT) treatment than all the other groups. Multimodality therapy is generally associated with higher treatments rates for conditions such as erectile dysfunction , incontinence, urethral stricture disease , irritative cystitis and proctitis in patients older than 65. Radiation therapy followed by prostatectomy is associated with significantly worse functional outcomes. Patients undergoing or anticipating undergoing multimodality therapy for prostate cancer should be counseled regarding the possibility of increased risk of declining functional outcomes.

Racial and Ethnic Disparities in Prostate Cancer Outcomes in the Veterans Affairs Health Care System.

Importance: Prostate cancer (PCa) disproportionately affects African American men, but research evaluating the extent of racial and ethnic disparities across the PCa continuum in equal-access settings remains limited at the national level. The US Department of Veterans Affairs (VA) Veterans Hospital Administration health care system offers a setting of relatively equal access to care in which to assess racial and ethnic disparities in self-identified African American (or Black) veterans and White veterans. Objective: To determine the extent of racial and ethnic disparities in the incidence of PCa, clinical stage, and outcomes between African American patients and White patients who received a diagnosis or were treated at a VA hospital. Design, Setting, and Participants: This retrospective cohort study included 7 889 984 veterans undergoing routine care in VA hospitals nationwide from 2005 through 2019 (incidence cohort). The age-adjusted incidence of localized and de novo metastatic PCa was estimated. Treatment response was evaluated, and PCa-specific outcomes were compared between African American veterans and White veterans. Residual disparity in PCa outcome, defined as the leftover racial and ethnic disparity in the outcomes despite equal response to treatment, was estimated. Exposures: Self-identified African American (or Black) and White race and ethnicity. Main Outcomes and Measures: Time to distant metastasis following PCa diagnosis was the primary outcome. Descriptive analyses were used to compare baseline demographics and clinic characteristics. Multivariable logistic regression was used to evaluate race and ethnicity association with pretreatment clinical variables. Multivariable Cox regression was used to estimate the risk of metastasis. Results: Data from 7 889 984 veterans from the incidence cohort were used to estimate incidence, whereas data from 92 269 veterans with localized PCa were used to assess treatment response. Among 92 269 veterans, African American men (n = 28 802 [31%]) were younger (median [IQR], 63 [58-68] vs 65 [62-71] years) and had higher prostate-specific antigen levels (>20 ng/mL) at the time of diagnosis compared with White men (n = 63 467; [69%]). Consistent with US population-level data, African American veterans displayed a nearly 2-fold greater incidence of localized and de novo metastatic PCa compared with White men across VA centers nationwide. Among veterans screened for PCa, African American men had a 29% increased risk of PCa detection on a diagnostic prostate biopsy compared with White (hazard ratio, 1.29; 95% CI, 1.27-1.31; P < .001). African American men who received definitive primary treatment of PCa experienced a lower risk of metastasis (hazard ratio, 0.89; 95% CI, 0.83-0.95; P < .001). However, African American men who received nondefinitive treatment classified as "other" were more likely to develop metastasis (adjusted hazard ratio, 1.29; 95% CI, 1.17-1.42; P < .001). Using the actual rate of metastasis from veterans who received definitive primary treatment, a persistent residual metastatic burden for African American men was observed across all National Comprehensive Cancer Network risk groups (low risk, 4 vs 2 per 100 000; intermediate risk, 13 vs 6 per 100 000; high risk, 19 vs 9 per 100 000). Conclusions and Relevance: This cohort analysis found significant disparities in the incidence of localized and metastatic PCa between African American veterans and White veterans. This increased incidence is a major factor associated with the residual disparity in PCa metastasis observed in African American veterans compared with White veterans despite their nearly equal response to treatment.

Impact of Radiation on Cardiovascular Outcomes in Older Resectable Esophageal Cancer Patients With Medicare.

OBJECTIVES: Preoperative radiotherapy improves outcomes for operable esophageal cancer patients, though the proximity of the heart to the esophagus puts patients at risk of radiation-induced cardiovascular disease. This study characterizes the impact of radiotherapy and different radiation techniques on cardiovascular morbidity among a cohort of esophageal cancer patients. MATERIALS AND METHODS: We identified 1125 patients aged 65 and older diagnosed between 2000 and 2011 with esophageal cancer who received surgery alone, or surgery preceded by either preoperative chemotherapy or preoperative chemoradiation from the Surveillance Epidemiology and End Results (SEER)-Medicare database. We used Medicare claims to identify severe perioperative and late cardiovascular events. Multivariable logistic regression and Fine-Gray models were used to determine the effect of presurgery treatment on the risk of perioperative and late cardiovascular disease. RESULTS: Preoperative chemotherapy or chemoradiation did not significantly increase the risk of perioperative cardiovascular complications compared with surgery alone. Patients treated with preoperative chemoradiation had a 36% increased risk of having a late cardiovascular event compared with patients treated with surgery alone (subdistribution hazard ratio [SDHR]: 1.36; P=0.035). There was no significant increase in late cardiovascular events among patients treated with preoperative chemotherapy (SDHR: 1.18; P=0.40). Among patients treated with preoperative chemoradiation, those receiving intensity modulated radiotherapy had a 68% decreased risk of having a late cardiovascular event compared with patients receiving conventional radiation (SDHR: 0.32; P=0.007). CONCLUSIONS: This study demonstrates an increased risk of cardiovascular complications among operative esophageal cancer patients treated with preoperative chemoradiation, though these risks might be reduced with more cardioprotective radiation techniques such as intensity modulated radiotherapy.

Validation of an oncology-specific opioid risk calculator in cancer survivors.

BACKGROUND: Clinical guidelines recommend that providers risk-stratify patients with cancer before prescribing opioids. Prior research has demonstrated that a simple cancer opioid risk score might help identify to patients with cancer at the time of diagnosis with a high likelihood of long-term posttreatment opioid use. This current project validates this cancer opioid risk score in a generalizable, population-based cohort of elderly cancer survivors. METHODS: This study identified 44,932 Medicare beneficiaries with cancer who had received local therapy. Longitudinal opioid use was ascertained from Medicare Part D data. A risk score was calculated for each patient, and patients were categorized into low-, moderate-, and high-risk groups on the basis of the predicted probability of persistent opioid use. Model discrimination was assessed with receiver operating characteristic curves. RESULTS: In the study cohort, 5.2% of the patients were chronic opioid users 1 to 2 years after the initiation of cancer treatment. The majority of the patients (64%) were at low risk and had a 1.2% probability of long-term opioid use. Moderate-risk patients (33% of the cohort) had a 5.6% probability of long-term opioid use. High-risk patients (3.5% of the cohort) had a 75% probability of long-term opioid use. The opioid risk score had an area under the receiver operating characteristic curve of 0.869. CONCLUSIONS: This study found that a cancer opioid risk score could accurately identify individuals with a high likelihood of long-term opioid use in a large, generalizable cohort of cancer survivors. Future research should focus on the implementation of these scores into clinical practice and how this could affect prescriber behavior and patient outcomes. LAY SUMMARY: A novel 5-question clinical decision tool allows physicians treating patients with cancer to accurately predict which patients will persistently be using opioid medications after completing therapy.

Claims-Based Approach to Predict Cause-Specific Survival in Men With Prostate Cancer.

PURPOSE: Treatment decisions about localized prostate cancer depend on accurate estimation of the patient's life expectancy. Current cancer and noncancer survival models use a limited number of predefined variables, which could restrict their predictive capability. We explored a technique to create more comprehensive survival prediction models using insurance claims data from a large administrative data set. These data contain substantial information about medical diagnoses and procedures, and thus may provide a broader reflection of each patient's health. METHODS: We identified 57,011 Medicare beneficiaries with localized prostate cancer diagnosed between 2004 and 2009. We constructed separate cancer survival and noncancer survival prediction models using a training data set and assessed performance on a test data set. Potential model inputs included clinical and demographic covariates, and 8,971 distinct insurance claim codes describing comorbid diseases, procedures, surgeries, and diagnostic tests. We used a least absolute shrinkage and selection operator technique to identify predictive variables in the final survival models. Each model's predictive capacity was compared with existing survival models with a metric of explained randomness (ρ2) ranging from 0 to 1, with 1 indicating an ideal prediction. RESULTS: Our noncancer survival model included 143 covariates and had improved survival prediction (ρ2 = 0.60) compared with the Charlson comorbidity index (ρ2 = 0.26) and Elixhauser comorbidity index (ρ2 = 0.26). Our cancer-specific survival model included nine covariates, and had similar survival predictions (ρ2 = 0.71) to the Memorial Sloan Kettering prediction model (ρ2 = 0.68). CONCLUSION: Survival prediction models using high-dimensional variable selection techniques applied to claims data show promise, particularly with noncancer survival prediction. After further validation, these analyses could inform clinical decisions for men with prostate cancer.

Improved Method to Stratify Elderly Patients With Cancer at Risk for Competing Events.

PURPOSE: To compare a novel generalized competing event (GCE) model versus the standard Cox proportional hazards regression model for stratifying elderly patients with cancer who are at risk for competing events. METHODS: We identified 84,319 patients with nonmetastatic prostate, head and neck, and breast cancers from the SEER-Medicare database. Using demographic, tumor, and clinical characteristics, we trained risk scores on the basis of GCE versus Cox models for cancer-specific mortality and all-cause mortality. In test sets, we examined the predictive ability of the risk scores on the different causes of death, including second cancer mortality, noncancer mortality, and cause-specific mortality, using Fine-Gray regression and area under the curve. We compared how well models stratified subpopulations according to the ratio of the cumulative cause-specific hazard for cancer mortality to the cumulative hazard for overall mortality (ω) using the Akaike Information Criterion. RESULTS: In each sample, increasing GCE risk scores were associated with increased cancer-specific mortality and decreased competing mortality, whereas risk scores from Cox models were associated with both increased cancer-specific mortality and competing mortality. GCE models created greater separation in the area under the curve for cancer-specific mortality versus noncancer mortality (P < .001), indicating better discriminatory ability between these events. Comparing the GCE model to Cox models of cause-specific mortality or all-cause mortality, the respective Akaike Information Criterion scores were superior (lower) in each sample: prostate cancer, 28.6 versus 35.5 versus 39.4; head and neck cancer, 21.1 versus 29.4 versus 40.2; and breast cancer, 24.6 versus 32.3 versus 50.8. CONCLUSION: Compared with standard modeling approaches, GCE models improve stratification of elderly patients with cancer according to their risk of dying from cancer relative to overall mortality.

Competing events and costs of clinical trials: Analysis of a randomized trial in prostate cancer.

BACKGROUND: Clinical trial costs may be reduced by identifying enriched subpopulations of patients with favorable risk profiles for the events of interest. However, increased selectivity affects accrual rates, with uncertain impact on clinical trial cost. METHODS: We conducted a secondary analysis of Southwest Oncology Group (SWOG) 8794 randomized trial of adjuvant radiotherapy for high-risk prostate cancer. The primary endpoint was metastasis-free survival (MFS), defined as time to metastasis or death from any cause (competing mortality). We used competing risks regression models to identify an enriched subgroup at high risk for metastasis and low risk for competing mortality. We applied a cost model to estimate the impact of enrichment on trial cost and duration. RESULTS: The treatment effect on metastasis was similar in the enriched subgroup (HR, 0.42; 95% CI, 0.23-0.76) compared to the whole cohort (HR, 0.50; 95% CI, 0.30-0.81) while the effect on competing mortality was not significant in the subgroup or the whole cohort (HR 0.70; 95% CI 0.39-1.23, vs. HR 0.94; 95% CI, 0.68-1.31). Due to the higher incidence of metastasis relative to competing mortality in the enriched subgroup, the treatment effect on MFS was greater in the subgroup compared to the whole cohort (HR 0.55; 95% CI 0.36-0.82, vs. HR 0.77; 95% CI, 0.58-1.01). Trial cost was 75% less in the subgroup compared to the whole cohort ($1.7 million vs. $6.8 million), and the trial duration was 30% shorter (8.4 vs. 12.0 years). CONCLUSION: Competing event enrichment can reduce clinical trial cost and duration, without sacrificing generalizability.

Validated competing event model for the stage I-II endometrial cancer population.

PURPOSE/OBJECTIVES(S): Early-stage endometrial cancer patients are at higher risk of noncancer mortality than of cancer mortality. Competing event models incorporating comorbidity could help identify women most likely to benefit from treatment intensification. METHODS AND MATERIALS: 67,397 women with stage I-II endometrioid adenocarcinoma after total hysterectomy diagnosed from 1988 to 2009 were identified in Surveillance, Epidemiology, and End Results (SEER) and linked SEER-Medicare databases. Using demographic and clinical information, including comorbidity, we sought to develop and validate a risk score to predict the incidence of competing mortality. RESULTS: In the validation cohort, increasing competing mortality risk score was associated with increased risk of noncancer mortality (subdistribution hazard ratio [SDHR], 1.92; 95% confidence interval [CI], 1.60-2.30) and decreased risk of endometrial cancer mortality (SDHR, 0.61; 95% CI, 0.55-0.78). Controlling for other variables, Charlson Comorbidity Index (CCI) = 1 (SDHR, 1.62; 95% CI, 1.45-1.82) and CCI >1 (SDHR, 3.31; 95% CI, 2.74-4.01) were associated with increased risk of noncancer mortality. The 10-year cumulative incidences of competing mortality within low-, medium-, and high-risk strata were 27.3% (95% CI, 25.2%-29.4%), 34.6% (95% CI, 32.5%-36.7%), and 50.3% (95% CI, 48.2%-52.6%), respectively. With increasing competing mortality risk score, we observed a significant decline in omega (ω), indicating a diminishing likelihood of benefit from treatment intensification. CONCLUSION: Comorbidity and other factors influence the risk of competing mortality among patients with early-stage endometrial cancer. Competing event models could improve our ability to identify patients likely to benefit from treatment intensification.