Background: Basophils, eosinophils and monocytes may be involved in BCG-induced immune responses and be associated with outcomes of bladder cancer patients receiving intravesical BCG. Our objective was to explore the association of baseline counts of basophils, eosinophils and monocytes with outcomes of patients with high-grade T1 bladder cancer receiving a standard course of intravesical BCG.
Methods: We retrospectively reviewed medical records of patients with primary T1 HG/G3 bladder cancer. After re-TURBT, patients were treated with a 6-week course of intravesical BCG induction followed by intravesical BCG every week for 3 weeks given at 3, 6, 12, 18, 24, 30 and 36 months from initiation of therapy The analysis of potential risk factors for recurrence, muscle invasion and cancer-specific and overall survival was performed using univariable Cox regression models. Those factors that presented, at univariate analysis, an association with the event at a liberal p < 0.1, have been selected for the development of a multivariable model.
Results: A total of 1045 patients with primary T1 HG/G3 were included. A total of 678 (64.9%) recurrences, 303 (29.0%) progressions and 150 (14.3%) deaths were observed during follow-up. Multivariate analysis showed that logarithmic transformation of basophils count was associated with a 30% increment in the hazard of recurrence per unit increase of logarithmic basophils count (HR 1.30; 95% confidence interval 1.09-1.54; p = 0.0026). Basophil count modeled by quartiles was also significantly associated with time to recurrence [second vs. lower quartile HR 1.42 (1.12-1.79); p = 0.003, third vs. lower quartile HR 1.26 (1.01-1.57); p = 0.041; upper vs. lower quartile HR 1.36 (1.1-1.68); p = 0.005]. The limitations of a retrospective study are applicable.
Conclusion: Baseline basophil count may predict recurrence in BCG-treated HG/G3 T1 bladder cancer patients. External validation is warranted.
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http://dx.doi.org/10.1007/s00345-019-02754-2 | 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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