ArticleScientific reports2018
Genetic variation determines VEGF-A plasma levels in cancer patients.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
10 citing papers in PubMed, 17 citations in OpenAlex.
- Contribution of plasma levels of VEGF-A and angiopoietin-2 in addition to a genetic variant in KCNAB1 to predict the risk of bevacizumab-induced hypertension.The pharmacogenomics journal · 2024Trial
- Plasma levels of angiopoietin-2, VEGF-A, and VCAM-1 as markers of bevacizumab-induced hypertension: CALGB 80303 and 90401 (Alliance).Angiogenesis · 2022Trial
- Genetic variants in VEGF gene family enhance colorectal cancer susceptibility via modulating metabolic pathways.Archives of toxicology · 2026Article
- VEGF-A cis-located SNPs on human chromosome 6 associated with VEGF-A plasma levels and survival in a coronary disease cohort.BMC cardiovascular disorders · 2025Article
- Common variation in a long non-coding RNA gene modulates variation of circulating TGF-β2 levels in metastatic colorectal cancer patients (Alliance).BMC genomics · 2024Article
- Applications of Biomolecular Nanostructures for Anti-Angiogenic Theranostics.International journal of nanomedicine · 2024Review
- Article
- A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- KDR (VEGFR2) Genetic Variants and Serum Levels in Patients with Rheumatoid Arthritis.Biomolecules · 2019Article
- fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
20 authors at 7 institutions in 2 countries.
Funding
Abstract
Angiogenesis is essential in tumor biology and is regulated by vascular endothelial growth factor (VEGF) ligands and receptors. Here we aimed to discover genetic variants associated with levels of circulating angiogenic proteins in cancer patients. Plasma was collected at baseline in 216 pancreatic and 114 colorectal cancer patients. Thirty-one angiogenic proteins were measured by ELISA. 484,523 Single Nucleotide Polymorphisms (SNP) were tested for association with plasma levels for each protein in pancreatic cancer patients. Three top-ranked hits were then genotyped in colorectal cancer patients, where associations with the same proteins were measured. The results demonstrated rs2284284 and MCP1 (P-value = 6.7e-08), rs7504372 and VEGF-C (P-value = 9.8e-09), and rs7767396 and VEGF-A (P-value = 5.8e-09) were SNP-protein pairs identified in pancreatic cancer patients. In colorectal cancer patients, only rs7767396 (A > G) and VEGF-A was validated (P-value = 5.18e-05). The AA genotype of rs7767396 exhibited 2.04-2.3 and 2.7-3.4-fold higher VEGF-A levels than those with AG and GG genotypes. The G allele of rs7767396 reduces binding of the NF-AT1 transcription factor. In conclusion, a common genetic variant predicts the plasma levels of VEGF-A in cancer patients through altered binding of NF-AT1.
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Registered trials
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