Arsenic is a carcinogen that contaminates drinking water worldwide. Accumulating evidence suggests that both exposure and genetic factors may influence susceptibility to arsenic-induced malignancies. We sought to identify novel susceptibility loci for arsenic-related bladder cancer in a US population with low to moderate drinking water levels of arsenic. We first screened a subset of bladder cancer cases using a panel of approximately 10,000 non-synonymous single nucleotide polymorphisms (SNPs). Top ranking hits on the SNP array then were considered for further analysis in our population-based case-control study (n = 832 cases and 1,191 controls). SNPs in the fibrous sheath interacting protein 1 (FSIP1) gene (rs10152640) and the solute carrier family 39, member 2 (SLC39A2) in the ZIP gene family of metal transporters (rs2234636) were detected as potential hits in the initial scan and validated in the full case-control study. The adjusted odds ratio (OR) for the FSIP1 polymorphism was 2.57 [95% confidence interval (CI) 1.13, 5.85] for heterozygote variants (AG) and 12.20 (95% CI 2.51, 59.30) for homozygote variants (GG) compared to homozygote wild types (AA) in the high arsenic group (greater than the 90th percentile), and unrelated in the low arsenic group (equal to or below the 90th percentile) (P for interaction = 0.002). For the SLC39A2 polymorphism, the adjusted ORs were 2.96 (95% CI 1.23, 7.15) and 2.91 (95% CI 1.00, 8.52) for heterozygote (TC) and homozygote (CC) variants compared to homozygote wild types (TT), respectively, and close to one in the low arsenic group (P for interaction = 0.03). Our findings suggest novel variants that may influence risk of arsenic-associated bladder cancer and those who may be at greatest risk from this widespread exposure.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278547 | PMC |
http://dx.doi.org/10.1007/s00439-011-1090-x | 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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!