The invention belongs to the field of
genetic testing and provides a peritoneal
metastasis prediction model of a gastric
cancer based on 22 genes and application thereof, including PCLO, UGGT1, ZNF714, KIAA0825, COL23A1, MED1, NPAS2, TTC14, RPS27A, ASPH, ARHGEF12, SIK1, PAPPA, HHIPL1, MYO9B, ITPKB, ZNF862, MKNK1, MUC6, TRRAP, DUOX1 and KRTAP5-2; a risk of peritoneal
metastasis is predicted effectively and specifically, according to SVM of a selected classifier and a positive judgment threshold value of 0.5. The application of the
gene model of the invention is helpful for predicting the
metastasis of patients with gastric
cancer and has important value and significance for taking timely and effective clinical measures, making an individualized diagnosis and
treatment plan and finally improving a
survival rate of the patients with the gastric
cancer.