https://www.selleckchem.com/products/arv-771.html
We constructed a risk score model = 0.081∗log2 (CD36) + 0.043∗log2 (COL5A2) + 0.001∗log2 (ITGB5) + 0.039∗log2 (SDC2) + 0.135∗log2 (SV2 + 0.012∗log2 (THBS1) + 0.068∗log2 (VTN) + 0.023∗log2 (VWF). The risk score model could well predict the outcome of patients with gastric cancer in both training (n = 351, HR 1.807, 95% CI 1.292-2.528, P = 0.00046) and validation (n = 300, HR 1.866, 95% CI 1.347-2.584, P = 0.00014) cohorts. Besides, risk score-based subgroups were associated with angiogenesis, cell adhesion molecules, complement and coa
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