Bladder cancer mortality after a diagnosis of nonmuscle-invasive bladder carcinoma

A Web-Based Prediction Model for Cancer-Specific Survival of Middle-Aged Patients With Non-metastatic Renal Cell Carcinoma: A Population-Based Study

Background

Renal cell carcinoma (RCC) is one of the most common cancers in middle-aged patients. We aimed to establish a new nomogram for predicting cancer-specific survival (CSS) in middle-aged patients with non-metastatic renal cell carcinoma (nmRCC).

Methods

The clinicopathological information of all patients from 2010 to 2018 was downloaded from the SEER database. These patients were randomly assigned to the training set (70%) and validation set (30%). Univariate and multivariate COX regression analyses were used to identify independent risk factors for CSS in middle-aged patients with nmRCC in the training set. Based on these independent risk factors, a new nomogram was constructed to predict 1-, 3-, and 5-year CSS in middle-aged patients with nmRCC. Then, we used the consistency index (C-index), calibration curve, and area under receiver operating curve (AUC) to validate the accuracy and discrimination of the model. Decision curve analysis (DCA) was used to validate the clinical application value of the model.

Results

A total of 27,073 patients were included in the study. These patients were randomly divided into a training set (N = 18,990) and a validation set (N = 8,083). In the training set, univariate and multivariate Cox regression analysis indicated that age, sex, histological tumor grade, T stage, tumor size, and surgical method are independent risk factors for CSS of patients. A new nomogram was constructed to predict patients' 1-, 3-, and 5-year CSS. The C-index of the training set and validation set were 0.818 (95% CI: 0.802-0.834) and 0.802 (95% CI: 0.777-0.827), respectively. The 1 -, 3 -, and 5-year AUC for the training and validation set ranged from 77.7 to 80.0. The calibration curves of the training set and the validation set indicated that the predicted value is highly consistent with the actual observation value, indicating that the model has good accuracy. DCA also suggested that the model has potential clinical application value.

Conclusion

We found that independent risk factors for CSS in middle-aged patients with nmRCC were age, sex, histological tumor grade, T stage, tumor size, and surgery. We have constructed a new nomogram to predict the CSS of middle-aged patients with nmRCC. This model has good accuracy and reliability and can assist doctors and patients in clinical decision making.

The Impact of Race and Sex on Metastatic Bladder Cancer Survival

OBJECTIVE

To characterize the epidemiological profile of metastatic bladder cancer (BC) and assess mortality rate with respect to race and gender across the three most common histologies of bladder cancer-Transitional Cell Carcinoma, Adenocarcinoma, and SCC (Squamous Cell Carcinoma).

MATERIALS AND METHODS

The Surveillance, Epidemiology, and End Results Program database (2000-2017) was queried for all metastatic bladder cancer patients at presentation. Our primary exposure consists of four race/gender combinations. One-way ANOVA and Chi-square tests compared categorical and continuous variables across the exposure variable, respectively. Univariable and multivariable Cox proportional hazards regression analyses were used to examine the association between race/gender combinations and the overall and cancer specific survival adjusting for the other variables.

RESULTS

A total of 312,846 bladder cancer patients, 6337 with distant metastases and 11,446 with regional metastases were evaluated. Black female cancer specific survival in metastatic disease was disproportionally lower compared to all race/gender for Transitional Cell Carcinoma 4.3% (95% CI: 1.6-8.9), SCC 2.6% (95% CI: 0.2-11.8), and Adenocarcinoma 6.4% (0.4%-25%). In regional metastastatic disease, worse cancer specific mortality was associated with identifying as a Black Female (aHR 1.17, P = .023), SCC (aHR 1.8, P <.001), increasing age (aHR 1.3, P <.001), and poorly differentiated grade (aHR 2.01, P <.001).

CONCLUSION

Black females experience excess mortality in overall and cancer oncologic outcomes in metastatic BC. Our findings contribute to the body of research warranting examination of the impact of social determinants of health and provider decisions on BC survivorship and contribute to physician decision making in the treatment and surveillance of bladder cancer.

Survival nomogram for patients with bone metastatic renal cell carcinoma: A population-based study

Purpose:

Increased attention has been focused on the survival of renal cell carcinoma (RCC) patients with bone metastasis. This study proposed to establish and evaluate a nomogram for predicting the overall survival (OS) and cancer-specific survival (CSS) of RCC patients with bone metastasis.

Materials and Methods:

RCC patients with bone metastasis between 2010 and 2015 were captured from the surveillance, epidemiology and end results (SEER) database. Univariate and multivariate cox regressions were performed to assess the effects of clinical variables on OS and CSS. The nomogram based on the Cox hazards regression model was developed. Concordance index (C-index) and calibration curve were performed to evaluate the accuracy of nomogram models, receiver operating characteristic (ROC) curves and decision curve analysis (DCA) were conducted to assess the predict performance.

Results:

A total of 2.471 eligible patients were enrolled in this study. The patients were assigned to primary (n=1.672) and validation (n=799) cohorts randomly. The 1-, 2-, and 3-year OS and CSS nomogram models were constructed based on age at diagnosis, sex, marital status, pathological grade, T-stage, N-stage, brain/liver/lung metastasis, surgery, radiotherapy and chemotherapy. The c for OS and CSS prediction was 0.730 (95% confidence interval [CI]: 0.719-0.741) and 0.714 (95%CI:0.702-0.726). The calibration curves showed significant agreement between nomogram models and actual observations. ROC and DCA indicated nomograms had better predict performance.

Conclusions:

The nomograms for predicting prognosis provided an accurate prediction of OS and CSS in RCC patients with bone metastasis, and contributed clinicians to optimize individualized treatment plans.

OUTCOMES OF INTRAVESICAL BACILLUS CALMETTE-GUERIN IN A MULTIRACIAL COHORT WITH NON-MUSCLE-INVASIVE BLADDER CANCER

Introduction

We sought to determine if outcomes of Bacillus Calmette-Guerin (BCG) therapy in patients with non-muscle-invasive bladder cancer (NMIBC) vary by race.

Methods

A retrospective chart review was conducted on 149 patients treated with BCG for intermediate- and high-risk NMIBC between 2001 and 2018, and who were followed up for cancer recurrence through March 2019.The primary outcomes were disease-free survival (DFS), low-grade disease-free survival (LGDFS), high-grade disease-free survival (HGDFS), and progression-free survival (PFS) at five years. Kaplan-Meier survival curves stratified by race (African American vs non-African American) were analyzed for all the above outcomes and multivariate Cox regression analyses were also performed to compare recurrence differences by race, after adjusting for age, sex, initial stage and grade.

Results

Of the 149 patients, 37.6% were Caucasian, 24.8% were African American, 26.8% were Hispanic, and 10.7% were of other/unknown race. Disease stage at initial presentation was 65.1% Ta, 34.9% T1, and 18.1% CIS. African American patients (N=37) did not have evidence for worse outcomes compared to non-African American patients when considering DFS (54.1% vs. 65.7%, p = 0.202), HGDFS (58.8% vs. 71.7%, p = 0.158), and PFS (83.8% vs. 92.6%, p = 0.117) at five years. Multivariate analysis did not reveal statistically significant racial differences in recurrence or progression.

Conclusions

African Americans with NMIBC did not have worse disease recurrence and progression after receiving intravesical BCG treatment. Although there did appear to be a trend towards worse oncologic outcomes in African Americans, larger studies are needed to validate this finding.