Detection of Cytokine Expression Patterns in the Peripheral Blood of Patients with Acute Leukemia by Antibody Microarray Analysis  

作　　者：李青 李梅 吴耀辉 朱晓健 曾辰 邹萍 陈智超 

机构地区：[1]Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology [2]Department of Pediatric Hematology, Union Hospital, Fujian Medical University

出　　处：《Journal of Huazhong University of Science and Technology(Medical Sciences)》2014年第2期176-180,共5页华中科技大学学报（医学英德文版）

基　　金：supported by the National Natural Science Foundation of China(No.81170497)

摘　　要：The cytokines of acute leukemia （AL） patients have certain expression patterns, forming a complex network involved in diagnosis, progression, and prognosis. We collected the serum of different AL patients before and after complete remission （CR） for detection of cytokines by using an antibody chip. The expression patterns of cytokines were determined by using bioinformatics computational analysis. The results showed that there were significant differences in the cytokine expression patterns between AL patients and normal controls, as well as between acute myeloid leukemia （AML） and acute lymphoblastic leukemia （ALL）. In confirmatory test, ELISA revealed the expression of uPAR in AL. Moreover, the bioinformatic analysis showed that the differentially expressed cytokines among the AL groups were involved in different biological behaviors and were closely related with the development of the disease. It was concluded that the cytokine expression pattern of AL patients is significantly different from that of healthy volunteers. Also, differences of cytokine expression patterns exist between AML and ALL, and between before and after CR in the same subtype of AL, which holds important clinical significance for revealing disease progression.The cytokines of acute leukemia （AL） patients have certain expression patterns, forming a complex network involved in diagnosis, progression, and prognosis. We collected the serum of different AL patients before and after complete remission （CR） for detection of cytokines by using an antibody chip. The expression patterns of cytokines were determined by using bioinformatics computational analysis. The results showed that there were significant differences in the cytokine expression patterns between AL patients and normal controls, as well as between acute myeloid leukemia （AML） and acute lymphoblastic leukemia （ALL）. In confirmatory test, ELISA revealed the expression of uPAR in AL. Moreover, the bioinformatic analysis showed that the differentially expressed cytokines among the AL groups were involved in different biological behaviors and were closely related with the development of the disease. It was concluded that the cytokine expression pattern of AL patients is significantly different from that of healthy volunteers. Also, differences of cytokine expression patterns exist between AML and ALL, and between before and after CR in the same subtype of AL, which holds important clinical significance for revealing disease progression.

关 键 词：CYTOKINE MICROARRAY acute leukemia expression patterns BIOINFORMATICS 

分 类 号：R733.7[医药卫生—肿瘤]