ArticleInternational journal of clinical and experimental pathology2014
Single nucleotide polymorphisms in VEGF gene are associated with an increased risk of osteosarcoma.
Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genetic variants associated with osteosarcoma risk: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Association between VEGF Gene Polymorphisms and the Susceptibility to Lung Cancer: An Updated Meta-Analysis.BioMed research international · 2018Pooled it
- Vascular endothelial growth factor polymorphisms are associated with osteosarcoma susceptibility.Oncotarget · 2016Pooled it
- ROLE OF POLYMORPHISMS IN VEGF AND KDR GENES IN OSTEOSARCOMA SUSCEPTIBILITY: A SYSTEMATIC REVIEW.Acta ortopedica brasileira · 2025Review
- Effect of vascular endothelial growth factor rs35569394 in esophageal cancer and response to chemotherapy.Biomolecules & biomedicine · 2023Article
- Interaction Between Vascular Endothelial Growth Factor Gene Polymorphism and Smoking on Gastric Cancer Risk in Chinese Han Population.Pathology oncology research : POR · 2022Article
- Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis.Oncotarget · 2018Article
- The association of functional polymorphisms in genes encoding growth factors for endothelial cells and smooth muscle cells with the severity of coronary artery disease.BMC cardiovascular disorders · 2016Article
- Role of five small nucleotide polymorphisms in the VEGF gene on the susceptibility to osteosarcoma and overall survival of patients.Oncology letters · 2015Article
- Association between XRCC3 Thr241Met polymorphism and risk of osteosarcoma in a Chinese population.International journal of clinical and experimental pathology · 2015Article
- Single nucleotide polymorphisms of HER2 related to osteosarcoma susceptibility.International journal of clinical and experimental pathology · 2015Article
- Investigation on the role of VEGF gene polymorphisms in the risk of osteosarcoma.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to assess whether the five common SNPs can affect the risk of osteosarcoma, and its association with demographic characteristics of osteosarcoma. 165 osteosarcoma patients and 330 cancer-free controls were enrolled into our study. Five common SNPs in VEGF gene, -2578C/A (rs699947), -1156G/A (rs1570360), +1612G/A (rs10434), +936C/T (rs3025039) and -634G/C (rs2010963), were detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Conditional logistic regression analyses found that individuals with AA genotype and A allele of rs699947 were associated with an increased risk of osteosarcoma. Individuals with GG genotype and G allele of rs2010963 were associated with an increased risk of osteosarcoma. By stratified analysis, AA genotype of rs699947 was associated with an increased risk of osteosarcoma in those with shorter age, males and a family history of cancer, and GG genotype of rs2010963 was correlated with an increased risk of osteosarcoma in those with shorter age, females and a family history of cancer. Our study suggests that rs699947 and rs2010963 polymorphisms may play a role in the pathogenesis of osteosarcoma.
Indexed as
Identifiers
25550863PMC4270581What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.