Purpose: While radical cystectomy (RC) is the standard of care for muscle invasive bladder cancer (MIBC), partial cystectomy (PC) is an effective alternative in select patients. We sought to examine differences in survival for RC and PC in a hospital-based registry.
Material And Methods: We identified patients diagnosed with cT2-4 bladder cancer who underwent RC or PC from 2003 to 2015 in the National Cancer Database (NCDB). Using inverse probability treatment weighting (IPTW) to control for known confounders, we compared the primary outcome of overall survival (OS) in patients who underwent RC vs. PC. Kaplan-Meier survival analysis, univariable and multivariable Cox proportional hazards modeling were used. We performed a secondary survival analysis for a subcohort of patients with cT2, cN0, tumor size ≤5 cm, and no concurrent carcinoma in situ (CIS), who may be optimal candidates for PC.
Results: A total of 22,534 patients met inclusion criteria, of which 6.9% (1,457) underwent PC. RC had longer median OS than PC (67.8 vs. 54.1 months) and on Cox regression analysis (HR 0.88, 95% CI, 0.80-0.95, P = 0.002). However, in our subcohort, there was no difference in OS between RC and PC (HR 1.02, 95% CI, 0.9-1.2, P = 0.74). PC was associated with increased time from surgery to any systemic therapy or death in the subcohort.
Conclusions: Among patients with clinically organ-confined MIBC, PC appears to afford similar survival outcomes to RC in a large national data set. The safety and tolerability of PC may warrant consideration in highly selected patients.
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http://dx.doi.org/10.1016/j.urolonc.2023.04.017 | DOI Listing |
Int Urol Nephrol
January 2025
Department of Colorectal Surgery, Heliopolis Hospital, São Paulo, SP, Brazil.
Purpose: Locally advanced colorectal tumors frequently invade adjacent organs, particularly the urinary bladder in the sigmoid colon and upper rectum, complicating multivisceral resections. This study compared postoperative outcomes of partial cystectomy (PC) and total cystectomy (TC) in patients with locally advanced colorectal cancer.
Methods: A systematic review was conducted in PubMed, Scopus, Central Register of Clinical Trials, and Web of Science for studies published up to November 2024.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Urology, Affiliated Xi'an Peoples Hospital (Xi'an Fourth Hospital) of Northwest University, Xi'an, 710000, China.
Limited treatment options are available for bladder cancer (BCa) resulting in extremely high mortality rates. Cyclovirobuxine D (CVB-D), a naturally alkaloid, reportedly exhibits notable antitumor activity against diverse tumor types. However, its impact on CVB-D on BCa and its precise molecular targets remain unexplored.
View Article and Find Full Text PDFBJU Int
January 2025
Division of Experimental Oncology/Unit of Urology, IRCCS Ospedale San Raffaele, Milan, Italy.
Objective: To evaluate the oncological efficacy and safety of sequential intravesical gemcitabine/docetaxel (Gem/Doce) therapy in a European cohort of patients with high-risk and very-high-risk non-muscle-invasive bladder cancer (NMIBC) after previous Bacillus Calmette-Guérin (BCG) treatment.
Materials And Methods: Data were retrospectively collected from 95 patients with NMIBC, treated with Gem/Doce at 12 European centres between 2021 and 2024. Patients previously treated with BCG who had completed a full induction course and received at least one follow-up evaluation were included.
Cancer Commun (Lond)
January 2025
Immunotherapy Unit, Department of Urology, Medical University of Innsbruck, Innsbruck, Austria.
J Clin Med
December 2024
JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Previous epidemiological studies have shown that diabetes is associated with an increased risk of several cancers, including bladder cancer. However, prediction models for bladder cancer among diabetes patients remain scarce. This study aims to develop a scoring system for bladder cancer risk prediction among diabetes patients who receive routine care in general outpatient clinics using a machine learning-guided approach.
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