Glycine inhibits angiogenesis in colorectal cancer: role of endothelial cells.

Neo-angiogenesis is important for tumor growth. Glycine is a non-toxic amino acid with suspected anti-angiogenic effects. This study was designed to evaluate anti-angiogenic effects of glycine in colorectal cancer. Glycine was added to cultures of human and rat colorectal cancer cells (CRC), and endothelial cells (HUVEC). Glycine's direct impact was monitored using MTT assays. Angiogenesis in HUVEC was monitored using 3D sprouting and migration assays. VEGF and CRC-conditioned media were used to stimulate angiogenesis. The glycine receptor (GlyR) was detected using Western blotting and inhibited using strychnine. The WAG-Rij/CC-531 model of metastatic CRC was used to evaluate glycine's impact in vivo. Tumor growth and vessel density were monitored in rats fed with or without 5 % glycine for 14 days. VEGF and conditioned media significantly increased proliferation, migration, and capillary formation to up to 267 %. Glycine completely neutralized this effect and strychnine completely blunted glycine's effect. GlyR was detected in HUVEC. Tumor volume, weight, and vessel density decreased by 35 % (p = 0.02), 34 % (p = 0.03), and 55 % (p = 0.04) in glycine-fed animals. Glycine inhibits angiogenic signaling of endothelial cells and tumor growth. Glycine would be a promising additive to standard and targeted cancer therapies.

Genetic and non-genetic risk factors for early-onset pancreatic cancer.

BACKGROUND: Early-onset pancreatic cancer (EOPC) represents 5-10% of all pancreatic ductal adenocarcinoma (PDAC) cases, and the etiology of this form is poorly understood. It is not clear if established PDAC risk factors have the same relevance for younger patients. This study aims to identify genetic and non-genetic risk factors specific to EOPC. METHODS: A genome-wide association study was performed, analysing 912 EOPC cases and 10 222 controls, divided into discovery and replication phases. Furthermore, the associations between a polygenic risk score (PRS), smoking, alcohol consumption, type 2 diabetes and PDAC risk were also assessed. RESULTS: Six novel SNPs were associated with EOPC risk in the discovery phase, but not in the replication phase. The PRS, smoking, and diabetes affected EOPC risk. The OR comparing current smokers to never-smokers was 2.92 (95% CI 1.69-5.04, P = 1.44 × 10-4). For diabetes, the corresponding OR was 14.95 (95% CI 3.41-65.50, P = 3.58 × 10-4). CONCLUSION: In conclusion, we did not identify novel genetic variants associated specifically with EOPC, and we found that established PDAC risk variants do not have a strong age-dependent effect. Furthermore, we add to the evidence pointing to the role of smoking and diabetes in EOPC.