Genetic Polymorphism in a VEGF-Independent Angiogenesis Gene ANGPT1 and Overall Survival of Colorectal Cancer Patients after Surgical Resection

<div><h3>Background</h3><p>The VEGF-independent angiogenic signaling plays an important role in the development of colorectal cancer (CRC). However, its implication in the clinical outcome of CRC has not been reported. This study aimed to investigate the association between genetic variations in several major VEGF-independent signaling pathway genes and the overall survival of CRC patients.</p> <h3>Methods</h3><p>Seven single nucleotide polymorphisms (SNPs) in four important VEGF-independent angiogenic genes (<em>ANGPT1</em>, <em>AMOT</em>, <em>DLL4</em> and <em>ENG</em>) were genotyped in a Chinese population with 408 CRC patients.</p> <h3>Results</h3><p>One SNP, rs1954727 in <em>ANGPT1</em>, was significantly associated with CRC overall survival. Compared to patients with the homozygous wild-type genotype of rs1954727, those with heterozygous and homozygous variant genotypes exhibited a favorable overall survival with a hazard ratio (HR) of 0.89 (95% confidence interval [CI] 0.55–1.43, <em>P</em> = 0.623), and 0.32 (95% CI 0.15–0.71, <em>P</em> = 0.005), respectively (<em>P</em> trend = 0.008). In stratified analysis, this association remained significant in patients receiving chemotherapy (<em>P</em> trend = 0.012), but not in those without chemotherapy. We further evaluated the effects of chemotherapy on CRC survival that was stratified by rs1954727 genotypes. We found that chemotherapy resulted in a significantly better overall survival in the CRC patients (HR = 0.44, 95% CI 0.26–0.75, <em>P</em> = 0.002), which was especially prominent in those patients with the heterozygous genotype of rs1954727 (HR = 0.45, 95%CI 0.22–0.92, <em>P</em> = 0.028). </p> <h3>Conclusion</h3><p>Our data suggest that rs1954727 in <em>ANGPT1</em> gene might be a prognostic biomarker for the overall survival of CRC patients, especially in those receiving chemotherapy, a finding that warrants validation in larger independent populations.</p>