Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation

被引:8
作者
Jia, Junjun [1 ,2 ,3 ]
Nie, Yu [1 ,2 ,3 ]
Geng, Lei [1 ,2 ,3 ]
Li, Jianhui [1 ,2 ,3 ]
Liu, Jimin [4 ]
Peng, Yifan [2 ,3 ]
Huang, Junjie [2 ,3 ]
Xie, Haiyang [1 ,2 ,3 ]
Zhou, Lin [1 ,2 ,3 ]
Zheng, Shu-Sen [1 ,2 ,3 ]
机构
[1] Zhejiang Univ, Coll Med, Div Hepatobiliary & Pancreat Surg, Affiliated Hosp 1,Sch Med,Dept Surg, Hangzhou 310003, Peoples R China
[2] Minist Publ Hlth, Key Lab Combined Multiorgan Transplantat, Hangzhou 310003, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Collaborat Innovat Ctr Diag Treatment Infect Dis, Hangzhou 310003, Peoples R China
[4] McMaster Univ, Fac Hlth Sci, Dept Pathol & Mol Med, Hamilton, ON, Canada
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Acute cellular rejection (ACR); heme oxygenase-1 (HO-1); liver transplantation (LT); biomarker; HEME OXYGENASE-1; IMMUNOSUPPRESSION; EXPRESSION; TOLERANCE; RECIPIENTS; DIAGNOSIS; NETWORKS; MARKERS; INJURY; TOOL;
D O I
10.21037/atm.2020.01.59
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Liver transplantation (LT) is the most effective treatment for patients with end-stage liver diseases, but acute rejection is still a major concern. However, the mechanisms underlying rejection remain unclear. Biomarkers are lacking for predicting rejection and long-term survival after LT. Methods: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics was performed between acute cellular rejection (ACR) and non-rejection recipients. The molecular signature differences and potential biomarkers were identified by comprehensive bioinformatics. Heme oxygenase-1 (HO-1) expression and its association with clinical outcomes were investigated by tissue microarrays consisted of liver specimens from recipients with (n=80) and without ACR (n=57). Results: A total of 287 differentially expressed proteins (DEPs) were identified. Pathway analysis revealed that T/B cell activation, integrin/inflammation signaling pathway, etc. were significantly correlated with ACR. Through comprehensive bioinformatics, HO-1 was identified as a candidate potential biomarker for ACR. In tissue microarray (TMA) analysis, HO-I expression was significantly higher in ACR group than in non-rejection group (P<0.01). Preoperative Child-Pugh and Meld scores were significantly higher in recipients with high HO-1 expression (P<0.01). In a mean 5-year follow-up, recipients with high HO-1 expression were associated with a shorter overall survival (P<0.05). Further multivariate analyses indicated that HO-1 could be an independent adverse prognostic factor for post-transplant survival (P=0.005). Conclusions: A total of 287 DEPs were identified, providing a set of targets for further research. Recipients with high preoperative HO-1 expression were associated with ACR. HO-1 may be used as a potential biomarker for predicting the development of post-transplant allograft ACR and recipient's survival.
引用
收藏
页数:20
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