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Over half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. We examined patient characteristics, treatment patterns, and survival among elderly patients in routine clinical practice. We utilized a retrospective cohort analysis of first primary AML patients in the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Patients were diagnosed between January 1, 2000 and December 31, 2009, >66 years, and continuously enrolled in Medicare Part A and B in the year prior to diagnosis. Kaplan-Meier curves and Cox proportional hazards regression assessed overall survival by treatment. There were 3327 (40 %) patients who received chemotherapy within 3 months of diagnosis. Treated patients were more likely younger, male, and married, and less likely to have secondary AML and poor performance indicators and comorbidity score compared to untreated patients. In multivariate survival analysis, treated patients exhibited a significant 33 % lower risk of death compared to untreated patients. Significant survival benefits were noted with receipt of intensive and hypomethylating agent (HMA) therapies compared to no therapy. A survival benefit with allogeneic hematopoietic stem cell transplantation was seen in younger Medicare patients. This real-world study showed that about 60 % of elderly AML patients remain untreated following diagnosis. Use of anti-leukemic therapy was associated with a significant survival benefit in this elderly cohort.

Objective: The aim of this study was to develop and validate a reliable nomogram to estimate overall survival in bladder cancer. Method: Patients diagnosed with bladder cancer identified in the Surveillance, Epidemiology, and End Results database were randomly divided into training and validation cohorts. The powerful prognostic variables were examined using Cox regression analyses. A nomogram was developed on the prognostic factors. Results: The results suggested that age, sex, race, grade, histologic type, primary site, pathological stage, surgical treatment, and number of primary tumors, were the powerful prognostic factors. All these factors were integrated to construct the nomogram. The nomogram for predicting overall survival showed better discrimination power than the tumor-node-metastasis (TNM) stage system 8th edition. Conclusion: The nomogram has the potential to provide an individualized prediction of overall survival in patients with bladder cancer.

We evaluated changes in incidence, relative survival (RS), and conditional survival (CS) of head and neck squamous cell carcinoma (HNSCC), focusing on oral tongue squamous cell carcinoma (OTSCC). Data of 74 680 HNSCC patients from 1976 to 2015 were obtained from the Surveillance, Epidemiology, and End Results database. Five anatomical sites and their subsites were analyzed. Annual percent change (APC) of incidence was calculated. RS and CS were compared across the four decades. Adjusted hazard ratios (aHRs) of RS were evaluated using multivariate regression. OTSCC incidence decreased from 1976 (APC = −0.76, P  < 0.05) but has increased since 1999 (APC = 2.36, P  < 0.05). During 2006–2015, the 5-year CS exceeded 90% only for OTSCC and oropharyngeal squamous cell carcinoma (OPSCC). RS improved in OTSCC (aHR = 0.697, 95% confidence interval [CI] 0.642–0.757, P  < 0.001) and OPSCC (aHR = 0.669, 95% CI 0.633–0.706, P  < 0.001) during the last two decades. For both OTSCC and OPSCC, improved survival was observed regardless of treatment. Incidence and survival remained unchanged for nasopharyngeal, hypopharyngeal, and laryngeal cancers during this period. In conclusion, OTSCC incidence has been increasing since the 2000s, with improving prognosis irrespective of treatment. Given its similarity to OPSCC, OTSCC may represent an emerging HNSCC, warranting further research and clinical recognition.

To examine the overall and stage-specific age-adjusted incidence, 5-year survival and mortality rates of bladder cancer (BCa) in the United States, between 1973 and 2009. A total of 148,315 BCa patients were identified in the Surveillance, Epidemiology and End Results database, between years 1973 and 2009. Incidence, mortality, and 5-year cancer-specific survival rates were calculated. Temporal trends were quantified using the estimated annual percentage change (EAPC) and linear regression models. All analyses were stratified according to disease stage, and further examined according to sex, race, and age groups. Incidence rate of BCa increased from 21.0 to 25.5/100,000 person-years between 1973 and 2009. Stage-specific analyses revealed an increase incidence for localized stage: 15.4–20.2 (EAPC: +0.5%, p<0.001) and distant stage: 0.5–0.8 (EAPC: +0.7%, p=0.001). Stage-specific 5-year survival rates increased for all stages, except for distant disease. No significant changes in mortality were recorded among localized (EAPC: −0.2%, p=0.1) and regional stage (EAPC: −0.1%, p=0.5). An increase in mortality rates was observed among distant stage (EAPC: +1.0%, p=0.005). Significant variations in incidence and mortality were recorded when estimates were stratified according to sex, race, and age groups. Albeit statistically significant, virtually all changes in incidence and mortality were minor, and hardly of any clinical importance. Little or no change in BCa cancer control outcomes has been achieved during the study period.

Background In recent years, there has been considerable interest in addressing racial disparities in prostate cancer (PCa) care including risk-adapted screening. This study examined trends in metastatic PCa incidence by race and placed them in context of changes in PSA screening recommendations. Methods We analyzed metastatic PCa incidence trends by race (using Surveillance Epidemiology and End Results data, 2005–2021) and PSA screening trends (using Behavioral Risk Factors Surveillance Survey data, 2012–2020). We fitted a generalized linear model with an interaction term for race and year of diagnosis and calculated annual incidence rate ratios (metastatic disease) and odds ratios (screening) for Non-Hispanic Black (NHB) vs. Non-Hispanic White (NHW) men. Results From 2005 to 2021, the age-adjusted metastatic PCa incidence (per 100,000) increased from 16.4 to 22.3 in NHB men, and from 6.2 to 10.8 in NHW men. While the incidence increased in both groups, the NHB vs. NHW incidence rate ratio declined from 2.6 (95%CI: 2.4, 2.9) in 2005 to 2.1 (95%CI:2.0,2.2) in 2021 ( p  < .0001), indicating a narrowing racial gap. From 2012 to 2020, PSA screening declined in both groups. NHB men initially had higher rates (OR:1.34, 95%CI: 1.21, 1.49, p  < 0.0001) but experienced a steeper decline, resulting in no significant difference by 2020 (OR: 1.04, 95% CI: 0.91, 1.19, p  = 0.59). Conclusions The racial gap in metastatic PCa narrowed over the study period, while overall incidence increased. Higher screening rates among Black men in the early 2010s may explain the narrowing gap. The subsequent more rapid decline among Black men raises concerns about resurgence of racial disparities in the coming years.

Background Brodalumab is a fully human anti–interleukin-17 receptor A monoclonal antibody efficacious for the treatment of adults with moderate-to-severe plaque psoriasis. Objective This study summarizes malignancy rates in psoriasis clinical studies of brodalumab. Methods Data were pooled from one phase II study and three large, multicenter, phase III randomized studies of brodalumab for the treatment of psoriasis, including two studies with randomization to brodalumab, ustekinumab, or placebo. Data from the 52-week (brodalumab and ustekinumab) and long-term (brodalumab) pools were summarized as exposure-adjusted or follow-up time-adjusted event rates per 100 patient-years (PY). Results Exposure-adjusted event rates per 100 PY at 52 weeks were lower with brodalumab ( n  = 4019; 3446 total PY of exposure) than with ustekinumab ( n  = 613; 495 total PY of exposure), including adjudicated malignancies (0.9 vs 2.6) and Surveillance, Epidemiology, and End Results (SEER)-adjudicated malignancies (0.3 vs 0.4). The exposure-adjusted event rate of adjudicated malignancies in the brodalumab group remained stable in the long-term analysis (0.9 [82 events]). Conclusions Rates of malignancy among brodalumab-treated patients with psoriasis were generally low. Trial registry ClinicalTrials.gov identifier NCT00975637; NCT01101100; NCT01708590 (AMAGINE-1); NCT01708603 (AMAGINE-2); NCT01708629 (AMAGINE-3).

•Metastatic disease at diagnosis confers poor prognosis in patients with Ewing's sarcoma.•Large tumors, increased patient age, and axial location were risk factors for decreased survival.•Black race was associated with decreased survival and higher rate of metastatic disease.•Hispanic patients presented more frequently with large (>10cm) tumors. The current study aims to determine cause-specific survival in patients with Ewing's sarcoma while reporting clinical risk factors for survival. The Surveillance, Epidemiology, and End Results (SEER) Program database was used to identify patients with osseous Ewing's sarcoma from 1991 to 2010. Patient, tumor, and socioeconomic variables were analyzed to determine prognostic factors for survival. There were 1163 patients with Ewing's sarcoma identified in the SEER Program database. The 10-year cause-specific survival for patients with non-metastatic disease at diagnosis was 66.8% and 28.1% for patients with metastatic disease. Black patients demonstrated reduced survival at 10 years with an increased frequency of metastatic disease at diagnosis as compared to patients of other race, while Hispanic patients more frequently presented with tumor size>10cm. Univariate analysis revealed that metastatic disease at presentation, tumor size>10cm, axial tumor location, patient age≥20 years, black race, and male sex were associated with decreased cause-specific survival at 10 years. Metastatic disease at presentation, axial tumor location, tumor size>10cm, and age≥20 years remained significant in the multivariate analysis. Patients with Ewing's sarcoma have decreased cause-specific survival at 10 years when metastatic at presentation, axial tumor location, tumor size>10cm, and patient age≥20 years.

Population-based cancer registry data from the Surveillance, Epidemiology, and End Results (SEER) Program at the National Cancer Institute are based on medical records and administrative information. Although SEER data have been used extensively in health disparities research, the quality of information concerning race, Hispanic ethnicity, and immigrant status has not been systematically evaluated. The quality of this information was determined by comparing SEER data with self-reported data among 13,538 cancer patients diagnosed between 1973-2001 in the SEER—National Longitudinal Mortality Study linked database. The overall agreement was excellent on race (κ = 0.90, 95% CI = 0.88-0.91), moderate to substantial on Hispanic ethnicity (κ = 0.61, 95% CI = 0.58-0.64), and low on immigrant status (κ = 0.21. 95% CI = 0.10, 0.23). The effect of these disagreements was that SEER data tended to under-classify patient numbers when compared to self-identifications, except for the non-Hispanic group which was slightly over-classified. These disagreements translated into varying racial-, ethnic-, and immigrant status-specific cancer statistics, depending on whether self-reported or SEER data were used. In particular, the 5-year Kaplan-Meier survival and the median survival time from all causes for American Indians/Alaska Natives were substantially higher when based on self-classification (59% and 140 months, respectively) than when based on SEER classification (44% and 53 months, respectively), although the number of patients is small. These results can serve as a useful guide to researchers contemplating the use of population-based registry data to ascertain disparities in cancer burden. In particular, the study results caution against evaluating health disparities by using birth-place as a measure of immigrant status and race information for American Indians/Alaska Natives.

Background The mechanisms of distant metastasis in pancreatic cancer (PC) have not been elucidated, and this study aimed to explore the risk factors affecting the metastasis and prognosis of metastatic patients and to develop a predictive model. Method Clinical data from patients meeting criteria from 1990 to 2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and two machine learning methods, random forest and support vector machine, combined with logistic regression, were used to explore risk factors influencing distant metastasis and to create nomograms. The performance of the model was validated using calibration curves and ROC curves based on the Shaanxi Provincial People’s Hospital cohort. LASSO regression and Cox regression models were used to explore the independent risk factors affecting the prognosis of patients with distant PC metastases. Results We found that independent risk factors affecting PC distant metastasis were: age, radiotherapy, chemotherapy, T and N; the independent risk factors for patient prognosis were: age, grade, bone metastasis, brain metastasis, lung metastasis, radiotherapy and chemotherapy. Conclusion Together, our study provides a method for risk factors and prognostic assessment for patients with distant PC metastases. The nomogram we developed can be used as a convenient individualized tool to facilitate aid in clinical decision making.

Background The prognosis of patients with small cell lung cancer (SCLC) is poor, most of them are in the extensive stage at the time of diagnosis, and are prone to brain metastasis. In this study, we established a nomogram combined with some clinical parameters to predict the survival of SCLC patients with brain metastasis. Methods The 3522 eligible patients selected from the SEER database between 2010 and 2015 were randomly divided into training cohort and validation cohort. Univariate and multivariate Cox regression analysis were used to evaluate the ability of each parameter to predict OS. The regression coefficients obtained in multivariate analysis were visualized in the form of nomogram, thus a new nomogram and risk classification system were established. The calibration curves were used to verify the model. And ROC curves were used to evaluate the discrimination ability of the newly constructed nomogram. Survival curves were made by Kaplan-Meier method and compared by Log rank test. Results Univariate and multivariate analysis showed that age, race, sex, T stage, N stage and marital status were independent prognostic factors and were included in the predictive model. The calibration curves showed that the predicted value of the 1- and 3-year survival rate by the nomogram was in good agreement with the actual observed value of the 1- and 3-year survival rate. And, the ROC curves implied the good discrimination ability of the predictive model. In addition, the results showed that in the total cohort, training cohort, and validation cohort, the prognosis of the low-risk group was better than that of the high-risk group. Conclusions We established a nomogram and a corresponding risk classification system to predict OS in SCLC patients with brain metastasis. This model could help clinicians make clinical decisions and stratify treatment for patients.