Purpose: We constructed Bladder Cancer Data Base Sweden (BladderBaSe) 2.0 to expand studies in BladderBaSe on incidence, treatment outcomes, side effects, survival and health economic aspects of men and women with cancer in the urinary bladder, upper tract urothelial carcinoma (UTUC) (renal pelvis and ureter) and urethral carcinoma.
Participants: BladderBaSe 2.0 includes 53 298 patients with cancer in the urinary bladder, diagnosed from 1 January 1997 to 31 December 2019, and 961 patients with UTUC in the renal pelvis and 792 in the ureter, and 146 patients with urethral urothelial carcinoma, diagnosed from 1 January 2015 to 31 December 2019, and in total 275 816 participants in reference groups, free of cancer in the urinary tract, matched 1:5 on sex, age and county.
Findings To Date: To date, 18 published studies based on data from the BladderBaSe have investigated calendar time trends in survival; impact of gender, socioeconomic factors, tumour aggressiveness and hospital volume for radical cystectomy on prognosis; survival after radical cystectomy compared with radical radiotherapy; risk factors for complications and side effects after radical cystectomy such as thromboembolism, strictures of ureteroenterostomies and incisional hernia.
Future Plans: The BladderBaSe initiators are currently investigating gender-dependent detection delays due to urinary tract infections; survival after non-muscle invasive bladder cancer with respect to the number of transurethral resections; short-term outcomes comparing open and robot-assisted radical cystectomy; studies on risk for intravesical recurrence after different diagnostic measures in UTUC, and suicide risk after bladder cancer diagnosis. The BladderBaSe project group is open for collaborations with national and international colleagues.
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http://dx.doi.org/10.1136/bmjopen-2022-064898 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772662 | PMC |
JAMA Netw Open
January 2025
Davidoff Cancer Center, Rabin Medical Center, Petach Tikvah, Israel.
Importance: Three similar phase 3 randomized clinical trials have investigated PD-1/PD-L1 (programmed cell death 1 protein/programmed cell death 1 ligand 1) inhibitors in combination with platinum-based chemotherapy vs chemotherapy alone as first-line treatment for advanced urothelial carcinoma (IMvigor130, atezolizumab; KEYNOTE-361, pembrolizumab; and CheckMate901, nivolumab). Only CheckMate901 reported overall survival (OS) benefit for the combination. The reason for these inconsistent results is unclear.
View Article and Find Full Text PDFRadiol Oncol
January 2025
1State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong Province, China.
Background: This study evaluates the contouring variability among observers using MR images reconstructed by different sequences and quantifies the differences of automatic segmentation models for different sequences.
Patients And Methods: Eighty-three patients with pelvic tumors underwent T1-weighted image (T1WI), contrast enhanced Dixon T1-weighted (T1dixonc), and T2-weighted image (T2WI) MR imaging on a simulator. Two observers performed manual delineation of the bladder, anal canal, rectum, and femoral heads on all images.
Front Immunol
January 2025
Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
As an antibody-drug conjugate (ADC), disitamab vedotin (RC48) is a promising treatment targeting ERBB2 for locally advanced and metastatic bladder cancer (BLCA). However, the subtype heterogeneity of muscle-invasive bladder cancer (MIBC) often leads to different therapeutic outcomes. In our study, we aim to explore sensitivity differences and mechanisms of different molecular subtypes of MIBC to RC48 treatment and develop a strategy for combination therapy against cancer.
View Article and Find Full Text PDFFront Oncol
January 2025
School of Engineering, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Background: Non-muscle-invasive Bladder Cancer (NMIBC) is notorious for its high recurrence rate of 70-80%, imposing a significant human burden and making it one of the costliest cancers to manage. Current prediction tools for NMIBC recurrence rely on scoring systems that often overestimate risk and lack accuracy. Machine learning (ML) and artificial intelligence (AI) are transforming oncological urology by leveraging molecular and clinical data to enhance predictive precision.
View Article and Find Full Text PDFAm J Clin Exp Urol
December 2024
Division of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.
Purpose: The estimated glomerular filtration rate (eGFR) has historically been calculated with a race-coefficient multiplier (RCM); however, the RCM has been broadly criticized as inaccurate and a potential contributor to exacerbating disparities. We evaluated the impact of the RCM on eGFR and examined the 30-day post-cystectomy complications in a muscle-invasive bladder cancer cohort.
Materials And Methods: We retrospectively analyzed patients diagnosed with MIBC who underwent cystectomy in the ACS NSQIP database from 2006 to 2020 using CPT and ICD codes.
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