Abstract: Objective To construct a prediction model based on the expression of long noncoding RNA (long non-coding,LncRNA) and analyze its predictive power in predicting the risk of early postoperative recurrence in patients with gastric cancer.Methods A total of 121 patients who underwent gastric cancer resection in our hospital from June 2016 to January 2019 were prospectively enrolled.They were followed up by outpatient clinic or telephone for 2 years after surgery.According to the follow-up of patients,the patients were divided into recurrence group and non-recurrence group.Group.The lncRNAs of patients were measured based on the genomic map of postoperative recurrence of gastric cancer,the differentially expressed long non-coding RNAs (DEL) were screened by edgeR,and the LncRNAs associated with early recurrence were screened by COX and Lasso-Logistic regression equation,and the ROC curve was applied.to evaluate the effectiveness of the model.Results After 2 years of follow-up,a total of 21 patients were lost to follow-up,and 100 patients were finally included,of which 31 patients had recurrence as the recurrence group,and 69 patients without recurrence were regarded as the non-relapse group.In patients with gastric cancer surgery,a total of 992 DELs were screened by edgeR,of which 772 were up-regulated and 220 were down-regulated.Among them,univariate analysis showed that there were differences in the expression of 63 lncRNAs between the recurrence group and the non-recurrence group;Lasso-COX regression model analysis showed that 22 lncRNAs were risk factors for early postoperative recurrence of gastric cancer patients;22 lncRNAs were further included in the multivariate COX Regression analysis showed that AC007991.4,AC079385.3 and AL109615.2 were strong risk factors for early postoperative recurrence of gastric cancer patients,and the AUC of the three combined to predict early postoperative recurrence of gastric cancer patients was 0.879. Conclusion AC007991.4,AC079385.3 and AL109615.2 are factors that affect the early recurrence of gastric cancer patients after surgery.The construction of a risk prediction model can guide the detection of key populations and prolong the survival time of patients as much as possible.

Key words: gastric cancer, long non-coding RNA, early recurrence, prediction model