Expression and prognosis of CD59 in pancreatic cancer based on bioinformatics analysis
10.3969/j.issn.1673-9701.2023.36.017
- VernacularTitle:基于生物信息学分析CD59在胰腺癌中的表达及预后影响
- Author:
Jiawei LIU
1
,
2
;
Chunling LIU
;
Hongjiao WU
;
Qinqin SONG
;
Chong LIU
;
Jing DONG
;
Lan LYU
;
Xuemei ZHANG
;
Zhi ZHANG
Author Information
1. 华北理工大学临床医学院,河北唐山 063210
2. 唐山市工人医院肿瘤科,河北唐山 063000
- Keywords:
CD59;
Pancreatic cancer;
Gene expression;
Prognosis;
Biomarker
- From:
China Modern Doctor
2023;61(36):72-77
- CountryChina
- Language:Chinese
-
Abstract:
Objective The expression and prognosis significance of CD59 in pancreatic cancer were analyzed by bioinformatics.Methods Gene expression profiling interactive analysis 2(GEPIA2)and human protein atlas(HPA)databases were used to compare the expression of CD59 between pancreatic cancer tissues and adjacent tissues;Kaplan-Meier plotter database was used to evaluate the effect of CD59 on prognosis;String and Cytoscape3.9.1 were used to analyze the CD59 protein interaction network;DAVID6.8 performed gene enrichment and pathway enrichment analysis of CD59 with key interacting genes.Results Compared with normal tissues,the expression of CD59 in pancreatic cancer tissues was significantly up-regulated(P<0.05),and the overall survival time(HR=2.3,95%CI:1.52-3.50)and recurrence free survival(HR=4.31,95%CI:1.57-11.83)of pancreatic cancer patients with CD59 high expression was shorter than CD59 low expression patients.Protein interaction network analysis revealed that CD59 is closely related to several molecules such as CD55,GOLGA2,LMAN1,TMED2 and SERPINA1.Gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis indicated that CD59 was mainly involved in pathways such as complement activation,innate immune response and coronavirus-COVID-19.Conclusion CD59 is highly expressed in pancreatic cancer tissue and is affected by several immune-related genes.It is associated with poor prognosis of patients and can be used as one of biomarkers for early diagnosis and prognosis prediction of pancreatic cancer.
