Objective: Investigate the association between genetic polymorphism of DSBs repair gene XRCC4, RAD51 and susceptibility to esophageal cancer (EC).
Methods: A hospital based case-control study with 123 EC cases and 61 controls in a Chinese population was conducted. PCR-RFLP was applied to investigate the genotype of XRCC4 promoter G-1394T (rs6869366) and RAD51-G135C and then statistical analysis was conducted by calculating the adjusted odds ratios (OR) and 95% confidence intervals (95% CI).
Results: A significant difference of XRCC4-1394 polymorphism was observed between EC cases and controls (P < 0.05). Carriers of the XRCC4 rs6869366 G allele (GC+GG) were at a higher risk of developing EC with the TT genotype as reference (OR = 3.022, 95% CI = 1.487-6.142, P = 0.002). When GG served as the reference group of RAD51-G135C allele, variant genotype (GC and CC) had a significant increased risk of lung cancer (OR = 3.643, 95% CI = 1.501-8. 842, P < 0.05).
Conclusion: Our findings indicated that genetic variants in DNA repair pathways may be involved in esophageal tumorigenesis. XRCC4 G-1394T and RAD51-G135C conferred risk for the process of developing EC.
Download full-text PDF |
Source |
---|
Sci Rep
December 2024
Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
PrPc is expressed in various tumors and is associated with cancer progression, but previous studies have shown conflicting results regarding its relationship with patient prognosis-potentially due to differences in the antibodies used. This study aimed to clarify the relationship between PrPc expression and primary esophageal squamous cell carcinoma (ESCC) and primary hepatocellular carcinoma (HCC) using a novel anti-PrPc antibody, 4AA-m, noted for its high specificity and sensitivity. We used flow cytometry to detect PrPc expression in ESCC and HCC cell lines.
View Article and Find Full Text PDFLab Invest
December 2024
Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513 Japan.
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical significance in esophageal squamous cell carcinoma (ESCC) is unknown. Artificial intelligence (AI) can quantitatively evaluate histopathological findings. The aim was to measure NS in ESCC using AI and elucidate its clinical significance.
View Article and Find Full Text PDFJ Cardiothorac Surg
December 2024
Department of Pulmonary Surgery, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Background: The Modified Inflation-Deflation Method (MIDM) is widely used in China in pulmonary segmentectomies. We optimized the procedure, which was named as Blood Flow Blocking Method (BFBM), also known as "No-Waiting Segmentectomy". This method has produced commendable clinical outcomes in segmentectomies.
View Article and Find Full Text PDFAnn Surg Oncol
December 2024
Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Background: Immunochemotherapy is inevitably accompanied with treatment-related adverse events (TRAEs). However, TRAEs are typically assessed at a single time point, overlooking the complexity of TRAE trajectories over time. This study aimed to characterize TRAE trajectories during multi-cycle neoadjuvant immunochemotherapy (nICT) and identify potential prognostic factors for patients with esophageal squamous cell carcinoma (ESCC).
View Article and Find Full Text PDFSci Rep
December 2024
Translational Oncogenomics and Bioinformatics Lab, Center for Medical Biotechnology, VIB-UGent & CRIG, Technologiepark-Zwijnaarde 75, 9052, Ghent, Belgium.
Esophageal adenocarcinoma (EAC) is an aggressive cancer characterized by a high risk of relapse post-surgery. Current follow-up methods (serum carcinoembryonic antigen detection and PET-CT) lack sensitivity and reliability, necessitating a novel approach. Analyzing cell-free DNA (cfDNA) from blood plasma emerges as a promising avenue.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!