A Case of Advanced Mucinous Adenocarcinoma of Bladder in an Adult Patient Treated With Capecitabine-Based Chemotherapy and Review of Literature

Mucin-producing urothelial-type adenocarcinoma of the prostate diagnosed after robot-assisted radical prostatectomy

INTRODUCTION

Mucin-producing adenocarcinoma of the prostate is a rare disease that includes prostate adenocarcinoma with mucus production, secondary adenocarcinoma from the bladder or colorectum, and adenocarcinoma from the urothelium of the prostatic urethra. We describe prostate-specific antigen-negative mucin-producing urothelial-type adenocarcinoma of the prostate.

CASE PRESENTATION

The patient had urinary retention and a serum prostate-specific antigen level of 0.74 ng/mL. Computed tomography and magnetic resonance imaging revealed a prostate tumor with a mucous component. We diagnosed adenocarcinoma by prostate biopsy and subsequently performed robot-assisted radical prostatectomy. Mucin-producing urothelial-type adenocarcinoma of the prostate was diagnosed by pathological examinations. Lung metastasis, developing within 3 months after surgery, was treated using chemotherapy.

CONCLUSION

Endocrine therapy is ineffective for mucin-producing urothelial-type adenocarcinoma of the prostate. Mucin-producing urothelial-type adenocarcinoma of the prostate diagnosis requires pathological and immunohistochemical analyses. It is important to surgically remove the primary lesion, and robot-assisted radical prostatectomy may provide an effective approach. Multimodal therapy is essential to treat for mucin-producing urothelial-type adenocarcinoma of the prostate.

Trends of incidence and prognosis of primary adenocarcinoma of the bladder

BACKGROUND

Primary adenocarcinoma of the bladder (ACB) is a rare malignant tumor of the bladder with limited understanding of its incidence and prognosis.

METHODS

Patients diagnosed with ACB between 2004 and 2015 were obtained from the SEER database. The incidence changes of ACB patients between 1975 and 2016 were detected by Joinpoint software. Nomograms were constructed based on the results of multivariate Cox regression analysis to predict overall survival (OS) and cancer-specific survival (CSS) in patients with ACB, and the constructed nomograms were validated.

RESULTS

The incidence of ACB was trending down from 1991 to 2016. A total of 1039 patients were included in the study and randomly assigned to the training cohort (727) and validation cohort (312). In the training cohort, multivariate Cox regression showed that age, marital status, primary site, histology type, grade, AJCC stage, T stage, SEER stage, surgery, radiotherapy, and chemotherapy were independent prognostic factors for OS, whereas these were age, marital status, primary site, histology type, grade, AJCC stage, T/N stage, SEER stage, surgery, and radiotherapy for CSS. Based on the above Cox regression results, we constructed prognostic nomograms for OS and CSS in ACB patients. The C-index of the nomogram OS was 0.773 and the C-index of CSS was 0.785, which was significantly better than the C-index of the TNM staging prediction model. The area under the curve (AUC) and net benefit of the prediction model were higher than those of the TNM staging system. In addition, the calibration curves were very close to the ideal curve, suggesting appreciable reliability of the nomograms.

CONCLUSION

The incidence of ACB patients showed a decreasing trend in the past 25 years. We constructed a clinically useful prognostic nomogram for calculating OS and CSS of ACB patients, which can provide a personalized risk assessment for ACB patient survival.

Reviewing the Demographic, Prognostic, and Treatment Factors of Primary Adenocarcinoma of the Bladder: A SEER Population-based Study

INTRODUCTION

The objective of this study was to characterize the demographic, prognostic, and treatment factors for patients with primary adenocarcinoma of the bladder by analyzing the impact of histologic subtype in a large sample size and interpreting newly released Surveillance, Epidemiology, and End Results (SEER) chemotherapy data.

MATERIALS AND METHODS

The SEER 18 Registry was utilized to identify cases of primary adenocarcinoma diagnosed from 1973 to 2015. Demographic data, tumor and disease characteristics, treatment information, and survival outcome data were collected. Overall survival and disease-specific survival were determined using Kaplan-Meier curve analysis. Univariate and multivariate Cox regression analysis were then completed using SAS JMP.

RESULTS

A total of 2305 cases of primary adenocarcinoma of the bladder were identified. Overall survival at 2-, 5- and 10-year intervals was 54.8%, 36.1%, and 25.4%, respectively. Disease-specific survival at 2-, 5- and 10-year intervals was 62.0%, 47.1%, and 40.1%, respectively. Patients were treated with surgery (86.4%), chemotherapy (21.9%), and radiation (15.0%) (P < .0001). Multivariate Cox regression analysis showed independent prognostic value for gender, stage, grade, primary tumor location, and histologic subtype. The urachus/dome location conferred survival advantage over non-urachal locations on univariable and multivariable Cox regression analysis. The papillary adenocarcinoma subtype conferred the best survival outcome, whereas signet cell carcinoma (hazard ratio, 2.069; P < .0001) and unclassified adenocarcinoma (not otherwise specified) (hazard ratio, 1.524; P < .0001) conferred the worst prognoses.

CONCLUSION

This study utilized a population-based analysis to showcase the utility of various prognostic features in primary bladder adenocarcinoma cases. In characterizing treatments, we find the prevailing treatment remains surgical intervention, whereas a sizable minority receives chemotherapy and/or radiation, often in combination with surgery.