AI Article Synopsis

  • - The study investigated the roles of genetic variations in the MTHFR and MMP-2 genes in individuals' susceptibility to bladder cancer in Turkey's Thrace region, using blood samples from 179 participants (98 patients and 81 healthy controls).
  • - Key findings indicated that the MTHFR A1298C CC genotype and the MMP-2 TT genotype were associated with increased risk of developing bladder cancer, while certain genotypes (AC for MTHFR and AC for MMP-2) acted as protective factors.
  • - The research concluded that specific gene combinations, particularly the CC-CC combined genotype of C677T/A1298C, were identified as significant genetic risk factors for bladder cancer development, highlighting the complexity

Article Abstract

Objective: Bladder cancer is a complex malignancy and has been associated with high morbidity. Since susceptibility to bladder cancer development differs between individuals, determining the roles of MTHFR and MMP-2 gene variations associated with this cancer is important for analyzing differences in individual susceptibility. In this study, we aimed to investigate the role of MTHFR and MMP-2 gene variations in the development of bladder cancer in the Thrace region of Turkey.

Materials And Methods: One hundred seventy-nine blood samples were collected, including 98 patients with bladder cancer and 81 healthy controls. DNA extraction was carried out with blood samples. Polymerase chain reaction-restriction fragment length polymorphism was applied to detect MTHFR C677T (rs 1801133), MTHFR A1298C (rs 1801131), and MMP-2 (-1306C>T) (rs 243865) gene variants.

Results: For the MTHFR A1298C gene variation, CC genotype was the genetic risk factor (P=.0001), while AC genotype was the protective factor (P< .0001) in the development of bladder cancer. For the MMP-2 (-1306C>T) gene variation, TT genotype (P < .0001) and T allele (P=.0006) were genetic risk factors, while AC genotype (P=.0009) was the protective factor in the development of bladder cancer. For C677T/A1298C gene variations, CC-CC combined genotype was the genetic risk factor (P=.009), while CT-AC and CC-AC combined genotypes were potential protective biomarkers (P=.013 and P < .001, respectively).

Conclusion: In our study, TT genotype and T allele were determined as genetic risk factors for MMP-2 (-1306C>T) gene variation. For C677T/A1298C gene variations, CC- CC combined genotype was detected as the genetic risk factor in the development of bladder cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081108PMC
http://dx.doi.org/10.5152/tud.2023.22185DOI Listing

Publication Analysis

Top Keywords

bladder cancer
32
genetic risk
20
mmp-2 -1306c>t
16
gene variations
16
development bladder
16
gene variation
12
risk factor
12
cancer
9
roles mthfr
8
mthfr c677t
8

Similar Publications

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 PDF

Interobserver and sequence variability in the delineation of pelvic organs at risk on magnetic resonance images.

Radiol 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.

View Article and Find Full Text PDF

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 PDF

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 PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!