Previous published studies suggested that genetic polymorphisms in DNA repair genes could modify the DNA repair capacity and could be associated with pancreatic cancer risk. However, previous studies on the association between X-ray repair cross-complementation group 1 (XRCC1) rs25487 (Arg399Gln) polymorphism and pancreatic cancer risk reported inconsistent results. To obtain a more precise estimation of the association between XRCC1 rs25487 polymorphism and pancreatic cancer risk, we performed a meta-analysis of previous published studies by calculating the pooled odds ratio (OR) with a 95% confidence interval (95% CI). Eight individual studies with 5,542 subjects from six publications were finally included into this meta-analysis. The meta-analysis of total eight studies showed that there was no association between XRCC1 rs25487 polymorphism and pancreatic cancer risk in total population under all four genetic models (Gln versus Arg: OR = 1.10, 95% CI 0.95-1.28, P = 0.199; GlnGln versus ArgArg: OR = 1.15, 95% CI 0.93-1.41, P = 0.191; GlnGln/ArgGln versus ArgArg: OR = 1.10, 95% CI 0.97-1.25, P = 0.127; GlnGln versus ArgArg/ArgGln: OR = 1.12, 95% CI 0.92-1.36, P = 0.253). Subgroup analysis showed that there was no association between XRCC1 rs25487 polymorphism and pancreatic cancer risk in Caucasians, but XRCC1 rs25487 polymorphism was associated with pancreatic cancer risk in Asians (GlnGln/ArgGln versus ArgArg: OR = 1.24, 95% CI 1.01-1.53, P = 0.040). Therefore, the meta-analysis suggests that XRCC1 rs25487 polymorphism is associated with pancreatic cancer risk in Asians. Further studies with more participants are needed to provide a more precise estimation on the association above.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s13277-013-0914-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Radiofrequency ablation combined with immunotherapy to treat hepatocellular carcinoma: a comprehensive review.
BMC Surg
January 2025
General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Background And Aim: Hepatocellular carcinoma (HCC) is a highly immunogenic tumor and the third leading cause of cancer-related deaths worldwide with an increasing incidence. Therefore, the combination of immunotherapy with other approaches, such as anti-angiogenic agents and local area therapy, has become a new strategy for HCC treatment.
Methods: We searched PubMed and Web of Science and extracted publications relating to the radiofrequency ablation (RFA) and immunotherapy.
NIPAL1 as a prognostic biomarker associated with pancreatic adenocarcinoma progression and immune infiltration.
BMC Cancer
January 2025
First Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Pancreatic adenocarcinoma (PAAD) is a highly malignant tumor in the digestive system, with an increasing incidence and mortality rate globally. Recent genetic studies have revealed that the abnormal expression and functional dysregulation of various genes are involved in the occurrence and progression of pancreatic cancer. NIPA-like proteins (NIPAs) are expressed in a variety of cancer types, yet the role of NIPAL1 in cancer remains unclear.
View Article and Find Full Text PDFArtificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review.
BMC Med Res Methodol
January 2025
Leeds Institute of Clinical Trials Research, University of Leeds, Clarendon Way, Leeds, LS2 9NL, UK.
Background: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit the longitudinal data stored within electronic health records (EHRs). This review aims to summarise methods currently utilised for prediction of cancer from longitudinal data and provides recommendations on how such models should be developed.
View Article and Find Full Text PDFDual modality feature fused neural network integrating binding site information for drug target affinity prediction.
NPJ Digit Med
January 2025
State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. The model introduces a binding site-focused graph construction approach to extract binding information, enabling more balanced and efficient modeling of drug-target interactions.
View Article and Find Full Text PDFComparing Operative Outcomes and Resection Quality in Robotic vs Open Pancreaticoduodenectomy: A Meta-analysis of 54,000 Patients.
J Gastrointest Cancer
January 2025
Dow University of Health Sciences, Karachi, Pakistan.
Background: High morbidity and mortality make pancreaticoduodenectomy (PD) one of the most complicated surgical procedures. This meta-analysis aimed to compare the outcomes of robotic pancreaticoduodenectomy (RPD) versus open pancreaticoduodenectomy (OPD).
Method: A comprehensive literature search of PubMed, Cochrane Central, and Google Scholar was conducted from inception to November 2024.
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!