The Establishment of Prognostic Model of APP,APBA and APBB Families for Gastric Cancer Based on GEO Database
LI WenShi
YU Siqi
WANG Meng'ou
WU Xinshu
BAO Bowen
CHE Xiaofang
ZHENG Chunlei
Abstract：Objective To establish prognostic model for gastric cancer based on the amyloid beta precursor protein(APP)family,amyloid beta precursor protein binding protein A(APBA)family and amyloid beta precursor protein binding protein B(APBB)family.Methods GSE62254 gastric cancer dataset was downloaded from GEO database as the training set and GSE15459 as the validation set.Cox regression analysis was used to screen the independent prognostic risk factors in APP family,APBA family and APBB family;the risk score 1(RS1)based on the independent prognostic factors of the three families,RS2 based on RS1 combined with pathological parameters,and RS3 based on the traditional TNM staging were established.Chi-square test was used to analyze the relationship between RS1 and clinicopathological features of gastric cancer patients;the expression of RS1 genes in different cell subsets was analyzed using the single cell online analysis website;the effect of RS1 on the infiltration of different immune cells was analyzed by CIBERSORT;Gene Set Enrichment Analysis(GSEA)was used for pathway enrichment analysis.Results By Cox regression analysis,APLP2,APBB1 and APBB2 were selected as the independent risk factors of gastric cancer(P＜0.05).The overall survival(OS)time of patients with high-RS1 based on APLP2,APBB1 and APBB2 was significantly shorter than that of patients with low-RS1.The further Cox regression analysis including RS1 and clinical pathological parameters showed that N stage,M stage,Lauren type and RS1 were independent risk factors for prognosis of gastric cancer(P＜0.05).The prediction accuracy of RS2(AUC=0.767)based on these parameters was 4.8％higher than that of RS3(AUC=0.719)based on T,N and M stages.RS1 was positively correlated with T stage of tumor(P＜0.05).CD4 resting cell infiltration was higher,active cell infiltration was lower and M2 macrophage infiltration was higher in high RS1 group.GSEA pathway analysis showed that patients with high RS1 were enriched in MAPK,MTOR and WNT pathways.Conclusion This study has successfully constructed a prognostic evaluation model for gastric cancer based on APP,APBA and APBB family,which can accurately predict the prognosis of gastric cancer.
Keywords：gastric canceramyloid beta precursor proteinamyloid beta precursor protein binding protein A familyamyloid beta precursor protein binding protein B familyrisk score
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 48-54 )