In mammalian cells, X-ray repair cross-complementing group3 (XRCC3) plays an important role in the DNA double-strand breaks (DSBs) repair by homologous recombination. Genetic polymorphisms in the XRCC3 gene may potentially affect the repair of DSBs and thus confer susceptibility to gliomas. In this study, we used a haplotype-based approach to investigate whether 4 tagging single nucleotide polymorphisms of the XRCC3 gene are associated with risk of gliomas in 771 glioma patients and 752 cancer-free controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by the unconditional logistic regression, and haplotype associations were estimated using Haplo.Stat. After adjustment for age and sex, the variant G allele of rs861530 and T allele of rs3212092 were significantly associated with an increased risk of gliomas (AG/GG versus AA: adjusted OR = 1.44, 95% CI = 1.15-1.80, p = 0.001 and CT/TT versus CC: adjusted OR = 1.66, 95% CI = 1.12-2.46, p = 0.013, respectively). Consistent with these results, XRCC3 haplotype "GGCC" containing rs861530 G allele and haplotype "AGTC" containing rs3212092 T allele were also significantly associated with an elevated risk of gliomas compared with the common haplotype "AGCC" (adjusted OR = 1.35, 95% CI = 1.14-1.58, p = 0.000 and adjusted OR = 1.67, 95% CI = 1.11-2.52, p = 0.015, respectively). Our results suggest that common genetic variants in the XRCC3 gene may modulate glioma risk.
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http://dx.doi.org/10.1002/ijc.24307 | DOI Listing |
J Integr Neurosci
January 2025
Department of Radiology, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, 313000 Huzhou, Zhejiang, China.
Background: Glioma is the most common malignancy in the central nervous system. Even with optimal therapies, glioblastoma (the most aggressive form of glioma) is incurable, with only 26.5% of patients having a 2-year survival rate.
View Article and Find Full Text PDFJ Clin Med
January 2025
Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Universitaire de Sherbrooke, 12e Avenue Nord, Porte 6, Sherbrooke, QC J1H 5N4, Canada.
: Cerebral intra-arterial chemotherapy (CIAC) has been demonstrated to achieve tumoricidal concentrations in cerebral tumour cells that are otherwise unachievable due to the presence of the blood-brain barrier. In this study, we sought to analyze the safety of CIAC in a cohort of patients treated at the Centre intégré universitaire de santé et de services sociaux de l'Estrie-Centre hospitalier universitaire de Sherbrooke (CIUSSS-CHUS). : Treatments consisted of monthly CIAC.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.
Introduction: Given its proximity to the central nervous system, surgical site infections (SSIs) after craniotomy (SSI-CRAN) represent a serious adverse event. SSI-CRAN are associated with substantial patient morbidity and mortality. Despite the recognition of SSI in other surgical fields, there is a paucity of evidence in the neurosurgical literature devoted to skin closure, specifically in patients with brain tumors.
View Article and Find Full Text PDFCurr Opin Hematol
January 2025
Amsterdam UMC, University of Amsterdam, department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam.
Purpose Of Review: Patients with cancer have an increased risk of venous thromboembolism (VTE). Guidelines suggest to use risk assessment tools to guide decisions about thromboprophylaxis, but current tools have modest discriminatory ability. Genetic information from the germline or tumor has the potential to improve VTE prediction.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Neurological Care Unit, The First Affiliated Hospital of YangTze University, Jingzhou, Hubei, China.
Background: Recent years have seen persistently poor prognoses for glioma patients. Therefore, exploring the molecular subtyping of gliomas, identifying novel prognostic biomarkers, and understanding the characteristics of their immune microenvironments are crucial for improving treatment strategies and patient outcomes.
Methods: We integrated glioma datasets from multiple sources, employing Non-negative Matrix Factorization (NMF) to cluster samples and filter for differentially expressed metabolic genes.
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