Association of non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) with prognosis in cancer survivors: a population-based study in the United States.

Background: Patients with cancer frequently exhibit alterations in serum lipid profiles associated with chemotherapy. It has been reported that lipid distribution in cancer correlates with tumor progression. However, the prognostic value of serum lipid biomarkers in cancer survivors remains a subject of debate. We aim to explore the relationship between non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) and the prognosis of cancer survivors. Methods: In this study, we analyzed cancer survivor data from the National Health and Nutrition Examination Survey (NHANES) from 1999-2000 to 2017-2018. The study included prospective cohorts that included total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) levels as well as mortality data. Weighted multivariate cox regression models, competing risk models and restricted cubic spline (RCS) models were applied to investigate the association between NHHR and cancer survival. Subgroup and sensitivity analyses were performed to test the robustness of the results. Results: This study involved 4,177 participants, representing about 19.6 million U.S. adults. After adjustment for various factors, the lower NHHR group (≤1.64) had a 31% (HR 1.31; 95% CI [1.11,1.54], p = 0.001) higher risk of death from any cause compared to the higher NHHR group. The link between NHHR and mortality remained stable across most subgroups, with notable interactions for smoking (p = 0.006) and diabetes status (p = 0.046). A J-shaped pattern was observed between NHHR and all-cause mortality, significantly among obesity-related cancer survivors (overall association test p-value = 0.0068, non-linear association test p-value = 0.0016). However, a non-significant negative correlation was observed for cancer-specific mortality (overall association test p-value = 0.48, non-linear association test p-value = 0.66). Considering the competitive risk of heart disease and cancer-specific mortality, there is no difference between the high and low NHHR groups, while the low NHHR group showed an increased risk of non-specific causes of death (p < 0.001). Conclusion: The results of this study suggest that NHHR is an important indicator that is strongly associated with all-cause mortality in cancer survivors, and that this relationship may be influenced by the interaction of diabetes and smoking status. This finding may provide important information for future research and patient management.

Adult Prostate Sarcoma: Demographics, Treatment Patterns, and Survival.

BACKGROUND: This study aimed to examine clinicopathologic characteristics, treatment patterns, and survival rates in a contemporary population-based cohort of adult prostate sarcoma patients. METHODS: In the Surveillance, Epidemiology, and End Results database (2004-2020), adult patients with prostate sarcoma were identified. Descriptive statistics, Kaplan-Meier analyses, smoothed cumulative incidence plots, and Cox regression models were used. RESULTS: Of 125 patients, 45 (36%) harbored leiomyosarcoma, 17 (14%) had rhabdomyosarcoma, 15 (12%) had stromal sarcoma, 17 (14%) had sarcoma not otherwise specified (NOS), and 31 (25%) had other sarcoma subtypes. Metastatic stage was most common in the rhabdomyosarcoma patients (44%) and least common in the leiomyosarcoma (21%) and stromal sarcoma (20%) patients. Most of the rhabdomyosarcoma patients received the combination of systemic and radiation therapy with (24%) or without radical surgery (35%), whereas most of the leiomyosarcoma and stromal sarcoma patients underwent radical surgery with (22 and 13%) or without (22 and 47%) radiation. In the overall population, the median overall survival was 27 months. The 5-years overall versus cancer-specific versus other-cause mortality rates were respectively 71 versus 58 versus 13%. In the multivariable Cox regression models, the highest overall mortality was exhibited by the patients with metastatic disease (hazard ratio [HR] 2.87; 95% confidence interval [CI] 1.55-5.31; p < 0.001) or unknown disease stage (HR 2.94; 95% CI 2.20-7.21; p = 0.019). Conversely, of all the histologic subtypes, only stromal sarcoma distinguished itself by lower overall mortality (HR 0.41; 95% CI 0.18-0.96; p = 0.039). CONCLUSIONS: Four major histologic subtypes were identified. Among most adult sarcoma patients, treatment patterns vary according to histology, from multimodal therapy to radical prostatectomy alone. These treatment differences reflect equally important heterogeneity in survival patterns.

Recent racial/ethnic disparities in cancer-specific mortality among patients diagnosed with rectal cancer.

Background: African American patients frequently receive nonstandard treatment and demonstrate poorer overall survival (OS) outcomes compared to White patients. Our objective was to analysis whether racial/ethnic disparities in rectal cancer-specific mortality remain after accounting for clinical characteristics, treatment, and access-to-care-related factors. Methods: Individuals diagnosed with rectal cancer between 2011 and 2020 were identified using the Surveillance, Epidemiology, and End Results Database. The cumulative incidence of rectal cancer-specific mortality was computed. Sub-distribution hazard ratios (sdHRs) and 95% confidence intervals (CIs) for rectal cancer-specific mortality associated with race/ethnicity were estimated using Fine and Gray model with stepwise adjustments for clinical characteristics, treatment modalities, and factors related to access-to-care. Results: Among 54,370 patients, non-Hispanic (NH) Black individuals exhibited the highest cumulative incidence of rectal cancer-specific mortality (39%), followed by American Indian/Alaska Native (AI/AN) (35%), Hispanics (32%), NH-White (31%), and Asian/Pacific Islander (API) (30%). After adjusting for clinical characteristics, NH-Black patients had a 28% increased risk of rectal cancer mortality (sdHR, 1.28; 95% CI: 1.20-1.35) compared to NH-White patients. In contrast, mortality disparities between Hispanic-White, AI/AN-White, and API-White groups were not significant. The Black-White mortality differences persisted even after adjustments for treatment and access-to-care-related factors. In stratified analyses, among patients with a median household income below $59,999, AI/AN patients showed higher mortality than NH-Whites when adjusted for clinical characteristics (sdHR, 1.32; 95% CI: 1.03-1.70). Conclusions: Overall, the racial/ethnic disparities in rectal cancer-specific mortality were largely attributable to differences in clinical characteristics, treatment modalities, and factors related to access-to-care. These findings emphasize the critical need for equitable healthcare to effectively address and reduce the significant racial/ethnic disparities in rectal cancer outcomes.

The association of type and number of high-risk criteria with cancer-specific mortality in prostate cancer patients treated with radical prostatectomy.

Objectives: This study aimed to test the association between of type and number of D'Amico high-risk criteria (DHRCs) with cancer-specific mortality (CSM) in high-risk prostate cancer patients treated with radical prostatectomy. Materials and methods: In the Surveillance, Epidemiology, and End Results database (2004-2016), we identified 31,281 radical prostatectomy patients with at least 1 DHRC, namely, prostate-specific antigen (PSA) >20 ng/mL (hrPSA), biopsy Gleason Grade Group (hrGGG) score of 4 and 5, or clinical tumor stage ≥T3 (hrcT). Multivariable Cox regression models and competing risks regression models (adjusting for other cause mortality) tested the association between DHRCs and 5-year CSM. Results: Of 31,281 patients, 14,394 (67%) exclusively harbored hrGGG, 3189 (15%) harbored hrPSA, and 1781 (8.2%) harbored hrcT. Only 2132 patients (6.8%) harbored a combination of the 2 DHRCs, and 138 (0.6%) had all 3 DHRCs. Five-year CSM rates ranged from 0.9% to 3.0% when any individual DHRC was present (hrcT, hrPSA, and hrGGG, in that order), 1.6% to 5.9% when 2 DHRCs were present (hrPSA-hrcT, hrcT-hrGGG, and hrPSA-hrGGG, in that order), and 8.1% when all 3 DHRCs were present. Cox regression models and competing risks regression confirmed the independent predictor status of DHRCs for 5-year CSM that was observed in univariable analyses, with hazard ratios from 1.00 to 2.83 for 1 DHRC, 2.35 to 5.88 for combinations of 2 DHRCs, and 7.13 for all 3 DHRCs. Conclusions: Within individual DHRCs, hrcT and hrPSA exhibited weaker effects than hrGGG did. Moreover, a dose-response effect was identified according to the number of DHRCs. Accordingly, the type and number of DHRCs allow further risk stratification within the high-risk subgroup.

Second Primary Differentiated Thyroid Carcinoma in Adult Cancer Survivors: A SEER Database Analysis.

CONTEXT: Adult cancer survivors are at a heightened risk for secondary primary differentiated thyroid carcinoma (2-DTC). The characteristics and outcomes of 2-DTC remain poorly understood. OBJECTIVE: We aim to explore the characteristics and outcomes of 2-DTC. METHODS: We retrospectively analyzed data from the SEER database (2000-2017). 2-DTC was divided into 25 subgroups based on the prior primary malignancies (PPMs). Baseline characteristics were compared using the Chi-square test. Multivariable logistic analysis was used to identified if PPMs associated with aggressive DTC characteristics. DTC-specific and cancer-specific mortality were analyzed using univariable and multivariable competing risk regression model. RESULTS: There were 138,555 1-DTC and 9,253 2-DTC patients were identified. 2-DTC patients were predominantly older, male, and white compared to first primary DTC (1-DTC) (all P < 0.05). In multivariable logistic regression analysis, only four types of PPMs were associated with higher rates of DTC aggressive characteristics, while 19 types exhibited lower rates (all P < 0.05). In multivariable competing risk analysis, 2-DTC showed no mortality risk in stages I (SHR: 1.16, 95% CI: 0.65-2.07) and II (SHR: 0.67, 95% CI: 0.45-1.01), but a protective role in stages III (SHR: 0.47, 95% CI: 0.27-0.83) and IV (SHR: 0.72, 95% CI: 0.52-0.99). Most PPMs that developed into 2-DTC had a lower risk of DTC-specific death than 1-DTC, but many PPMs had a higher risk of cancer-specific death. CONCLUSIONS: Given the characteristics and outcomes of 2-DTC, aggressive treatment for 2-DTC, particularly for PPM with a high mortality risk, may not be advisable.

Management and Oncologic Outcomes of Incidental Prostate Cancer After Transurethral Resection of the Prostate in Denmark.

PURPOSE: Approximately 1 in 10 patients without prior prostate biopsy undergoing surgery for lower urinary tract symptoms harbors incidental prostate cancer; however, practice guidelines do not provide recommendations for its management. We aimed at describing the oncologic outcomes of patients with Grade Group (GG) 1 and GG2 prostate cancer diagnosed at transurethral resection of the prostate (TURP). MATERIALS AND METHODS: This was a nationwide, population-based, observational study of patients undergoing TURP in Denmark from 2006 to 2022 using the Danish Prostate Registry. We estimated the cumulative incidence of further biopsies and MRI, curative treatment, endocrine treatment, and cause-specific mortality with competing risk analyses. RESULTS: Among 24,494 patients who underwent TURP, there were 1016 men with GG1 and 381 with GG2 prostate cancer. The 5-year cumulative incidence of further MRIs or biopsies was 36% (95% CI 33%-39%) for GG1 and 30% (95% CI 25%-34%) for GG2 disease. Fifteen-year prostate cancer mortality was 8.4% (95% CI 5.3%-11%) for GG1 and 14% (7.5%-21%) for GG2. A total of 270 men with GG1 disease underwent a biopsy after the TURP, and 162 (60%) had no cancer; in this group, prostate cancer mortality after 15 years was 0.6% (95% CI 0%-1.8%). Men with post-TURP biopsy ≥ GG2 had a prostate cancer mortality of 30% (95% CI 9%-50%) 15 years post TURP. The major limitation was the heterogeneous follow-up, which could lead to an overestimation of prostate cancer mortality compared to a more standardized follow-up. CONCLUSIONS: We observed high prostate cancer mortality after TURP with GG1 or GG2, likely due to unsampled high-grade cancer in the peripheral zone. Patients with incidental prostate cancer should be further investigated to rule out high-grade cancer. For patients with GG1 on TURP, once a subsequent biopsy does not show cancer, follow-up should be lessened similar to that of patients with an initial nonmalignant biopsy.

Trends in urine lead and associated mortality in US adults: NHANES 1999-2018.

Objectives: This study aimed to describe the trends of urine lead among US adults aged ≥45 years and to explore its association with all-cause and disease-specific mortality. Methods: This study enrolled 9,669 participants from the National Health and Nutrition Examination Survey, 1999-2018. Trends in urine lead were described by logistic regression analysis using the survey cycle as a continuous variable. Cox proportional hazard regression analyses were used to quantify the association between urine lead and mortality. Results: There was an obvious decline in urine lead concentrations from 1.203 µg/L (95% confidence interval [CI]: 1.083-1.322) in 1999-2000 to 0.478 µg/L (95% CI: 0.433-0.523) in 2017-2018, and this decline was statistically significant (P < 0.001). Referring to the first tertile of urine lead concentrations, risk magnitude for all-cause mortality was significantly and linearly increased after adjustment (P = 0.026 and 0.020 for partially and fully adjusted models, respectively), and significance was attained for the comparison of the third vs. first tertile after full adjustment (hazard ratio [HR]: 1.17, 95% CI: 1.01 to 1.35). Treating urine lead continuously, the risk for all-cause mortality was statistically significant (HR: 1.18 and 1.19, 95% CI: 1.01 to 1.39 and 1.00 to 1.40 for partially and fully adjusted models). For cardiovascular disease-specific and cancer-specific mortality, there was no hint of statistical significance. Conclusions: Our findings indicated that urine lead exhibited a declining trend from 1999-2000 to 2017-2018 in US adults aged ≥45 years, and high urine lead was a significant and independent risk factor for all-cause mortality.

Race has no impact on prostate cancer-specific mortality, when comparing patients with similar risk of other-cause mortality: An analysis of a population-based cohort.

BACKGROUND: Other-cause mortality (OCM) can serve as a surrogate for access-to-care. The authors sought to compare prostate cancer-specific mortality (PCSM) in Black versus White men matched based on their calculated OCM risk. METHODS: The Surveillance, Epidemiology, and End Results (SEER) database was queried for Black and White men diagnosed with prostate cancer between 2004 to 2009, to collect long-term follow-up. A Cox regression was used to calculate the OCM risk using all available covariates. This calculated OCM risk was used to construct a 1:1 propensity score matched (PSM) cohort. Then, a competing-risks multivariable tested the impact of race on PCSM. RESULTS: A total of 94,363 patients were identified, with 19,398 Black men and 74,965 White men. The median (IQR) follow-up was 11.3 years (9.8-12.8). In the unmatched-cohort at 10-years, PCSM and OCM were 5.5% versus 3.5% and 13.8% versus 8.4% in non-Hispanic Black (NHB) versus non-Hispanic White (NHW) patients (all p < .0001). The standardized mean difference was <0.15 for all covariates, indicating a good match. In the matched cohort at 10-years, OCM was 13.6% and 10.0% in NHB versus NHW (p < .0001), whereas the PCSM was 5.3% versus 4.7% (p < .01). On competing-risks multivariable analysis on PCSM, Black men had a hazard ratio of 1.08 (95% confidence interval, 0.98-1.20) compared to White men with a p = .13. CONCLUSIONS: The results of this study showed similar PCSM in Black and White patients, when matched with their calculated OCM risk. This report is the first to indicate at a population-based level that race has no impact on PCSM. PLAIN LANGUAGE SUMMARY: Prostate cancer is a very common cancer among men and it is associated with health disparities that disproportionately impact Black men compared to White men. There is an on-going discussion of whether disparities between these two groups stem from genetic or environmental factors. This study sought to examine if matching based on overall health status, a proxy for the impact of social determinants of health, mitigated significant differences in outcomes. When matched using risk of death from any cause other than prostate cancer, Black and White men had no significant differences in prostate cancer death.

Prognostic value of 17-Gene genomic prostate score in patients with clinically localized prostate cancer: a meta-analysis.

BACKGROUND: The 17-gene Genomic Prostate Score (GPS) test has been clinically employed to predict adverse prognosis in prostate cancer. In this meta-analysis, we aimed to evaluate the prognostic value of the 17-gene GPS in patients with prostate cancer. METHODS: Potentially relevant studies were obtained by searching PubMed, Web of Science, Embase databases from their inception to December 1, 2023. Studies were considered eligible if they evaluated the association of the 17-gene GPS with distant metastases, biochemical recurrence, or prostate cancer-specific mortality (PCSM) in prostate cancer patients. To estimate the prognostic value, we pooled the adjusted hazard ratio (HR) with 95% confidence intervals (CI) for the high versus low GPS group or per 20-unit increase in GPS. RESULTS: Seven cohort studies that reported on 8 articles comprising 1,962 patients satisfied the eligibility criteria. Meta-analysis showed that per 20-unit increase in GPS was significantly associated with distant metastases (HR 2.99; 95% CI 1.97-4.53), biochemical recurrence (HR 2.18; 95% CI 1.64-2.89), and PCSM (HR 3.14; 95% CI 1.86-5.30). Moreover, patients with high GPS (> 40 points) had an increased risk of distant metastases (HR 5.22; 95% CI 3.72-7.31), biochemical recurrence (HR 4.41; 95% CI 2.29-8.49), and PCSM (HR 3.81; 95% CI 1.74-8.33) than those with low GPS (≤ 40 points). CONCLUSIONS: A higher 17-gene GPS significantly predicts distant metastases, biochemical recurrence, and PCSM in men with clinically localized prostate cancer. However, large-scale multicenter prospective studies are necessary to further validate these findings.

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

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

Nomogram model for predicting cancer-specific mortality in patients with early-onset colorectal cancer: a competing risk analysis insight from the SEER database and an external validation cohort.

Background: Early-onset colorectal cancer (EOCRC) is increasing in incidence and poses a growing threat. Urgent research is needed, especially in survival analysis, to enhance comprehension and treatment strategies. This study aimed to explore the risk factors associated with cancer-specific mortality (CSM) and other-cause mortality (OCM) in patients with EOCRC. Additionally, the study aimed to develop a nomogram predicting CSM using a competitive risk model and validate its accuracy through the use of training, using internal and external cohorts. Methods: Data from EOCRC patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database (2008-2017). EOCRC patients who were treated at a tertiary hospital in northeast China between 2014 and 2020 were also included in the study. The SEER data were divided into the training and validation sets at a 7:3 ratio. A univariate Cox regression model was employed to identify prognostic factors. Subsequently, multivariate Cox regression models were applied to ascertain the presence of independent risk factors. A nomogram was generated to visualize the results, which were evaluated using the concordance index (C-index), area under the curve (AUC), and calibration curves. The clinical utility was assessed via decision curve analysis (DCA). Results: Multivariable Cox regression analysis demonstrated that factors such as race, tumor differentiation, levels of carcinoembryonic antigen (CEA), marital status, histological type, American Joint Committee on Cancer (AJCC) stage, and surgical status were independent risk factors for CSM in EOCRC patients. In addition, age, gender, chemotherapy details, CEA levels, marital status, and AJCC stage were established as independent risk factors for OCM in individuals diagnosed with EOCRC. A nomogram was developed using the identified independent risk factors, demonstrating excellent performance with a C-index of 0.806, 0.801, and 0.810 for the training, internal validation, and external validation cohorts, respectively. The calibration curves and AUC further confirmed the accuracy and discriminative ability of the nomogram. Furthermore, the DCA results indicated that the model had good clinical value. Conclusions: In this study, a competing risk model for CSM was developed in EOCRC patients. The model demonstrates a high level of predictive accuracy, providing valuable insights into the treatment decision-making process.

[Prostate cancer screening-current overview]. / Das Prostatakarzinom-Screening ­ aktueller Überblick.

BACKGROUND: The harm-to-benefit ratio of prostate cancer (PCa) screening remains controversial mainly due to the unfavorable test characteristics of prostate-specific antigen (PSA) as a screening test. METHODS: In this nonsystematic review, we present a current overview of the body of evidence on prostate cancer screening with a focus on the role of magnetic resonance imaging (MRI) of the prostate. RESULTS: Evidence generated in large randomized controlled trials showed that PSA-based screening significantly decreases cancer-specific mortality. The main obstacle in developing and implementing PCa screening strategies is the resulting overdiagnosis and as a consequence overtreatment of indolent cancers. Opportunistic screening is characterized by an adverse benefit-to-harm ratio and should, therefore, not be recommended. The German Statutory Early Detection Program for prostate cancer, which consists of a digital rectal examination (DRE) as a stand-alone screening test, is not evidence-based, neither specific nor sensitive enough and results in unnecessary diagnostics. The European Commission recently urged member states to develop population-based and organized risk-adapted PSA-based screening programs, which are currently tested in the ongoing German PROBASE trial. Finetuning of the diagnostic pathway following PSA-testing seems key to improve its positive and negative predictive value and thereby making PCa screening more accurate. Incorporation of prostatic MRI into screening strategies leads to more accurate diagnosis of clinically significant prostate cancer, while diagnosis of indolent cancers is reduced. In the future, molecular liquid-based biomarkers have the potential to complement or even replace PSA in PCa screening and further personalize screening strategies. Active surveillance as an alternative to immediate radical therapy of demographically increasing PCa diagnoses can potentially further improve the benefit-to-harm ratio of organized screening. CONCLUSION: Early detection of PCa should be organized on a population level into personalized and evidence-based screening strategies. Multiparametric MRI of the prostate may play a key role in this setting.

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.

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

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

Surgical Delay-Associated Mortality Risk Varies by Subtype in Loco-Regional Breast Cancer Patients in SEER-Medicare.

Substantial evidence supports that delay of surgery after breast cancer diagnosis is associated with increased mortality risk, leading to the introduction of a new Commission on Cancer quality measure for receipt of surgery within 60 days of diagnosis for non-neoadjuvant patients. Breast cancer subtype is a critical prognostic factor and determines treatment options; however, it remains unknown whether surgical delay-associated breast cancer-specific mortality (BCSM) risk differs by subtype. This retrospective cohort study aimed to assess whether the impact of delayed surgery on survival varies by subtype (hormone [HR]+/HER2-, HR-/HER2-, and HER2+) in patients with loco-regional breast cancer who received surgery as their first treatment between 2010-2017 using the SEER-Medicare. Continuous time to surgery from diagnostic biopsy (TTS; days) in reference to TTS = 30 days. BCSM were evaluated as flexibly dependent on continuous time (days) to surgery from diagnosis (TTS) using Cox proportional hazards and Fine and Gray competing-risk regression models, respectively, by HR status. Inverse propensity score-weighting was used to adjust for demographic, clinical, and treatment variables impacting TTS. Adjusted BCSM risk grew with increasing TTS across all subtypes, however, the pattern and extent of the association varied. HR+/HER2- patients exhibited the most pronounced increase in BCSM risk associated with TTS, with approximately exponential growth after 42 days, with adjusted subdistribution hazard ratios (sHR) of 1.21 (95% CI: 1.06-1.37) at TTS = 60 days, 1.79 (95% CI: 1.40-2.29) at TTS = 90 days, and 2.83 (95% CI: 1.76-4.55) at TTS = 120 days. In contrast, both HER2 + and HR-/HER2- patients showed slower, approximately linear growth in sHR, although non-significant in HR-HER2-.

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.

Upfront surgery versus definitive radiotherapy: competing risk analyses for cancer-specific and noncancer mortality in oropharyngeal cancer.

PURPOSE: The optimal treatment strategy for oropharyngeal cancer (OPC) is undetermined. We aim to compare the survival outcomes of OPC patients treated with upfront surgery versus definitive radiotherapy (RT). METHODS: A total of 8057 cases were retrieved from the Surveillance, Epidemiology, and End Results database. Primary endpoints were cancer-specific and noncancer mortalities, which were estimated using cumulative incidence function and compared by Gray's test. Univariate and multivariate Fine-Gray subdistribution hazard models were used to estimate the effects of treatment modality on mortality. Subgroup analyses were performed in propensity-score-matched cohorts. All the analyses were conducted separately in human papillomavirus (HPV)-negative and HPV-positive cohorts. RESULTS: In the HPV-negative cohort, definitive RT was independently associated with increased risk of cancer-specific mortality (adjusted subdistribution hazard ratio [SHR], 1.31; 95% confidence interval [CI], 1.05-1.64; P = 0.017) and noncancer mortality (adjusted SHR, 1.59; 95% CI 1.13-2.25; P = 0.008). In the HPV-positive cohort, definitive RT was independently associated with increased risk of cancer-specific mortality (adjusted SHR, 1.51; 95% CI 1.23-1.85; P < 0.001) and noncancer mortality (adjusted SHR, 1.53; 95% CI 1.11-2.12; P = 0.009). CONCLUSION: Upfront surgery is a superior treatment modality compared with definitive RT in terms of lowering cancer-specific and noncancer mortality in OPC patients, regardless of HPV status. Further prospective clinical trials are needed to confirm our findings.

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

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

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.