The predictive value of selected serum microRNAs for acute GVHD by TaqMan MicroRNA arrays

Autor: Shasha Men, Pengjun Zhang, Ting Wen, Yaping Tian, Yuan Luo, Chunyan Zhang, Hongli Tong, Wenrong Huang, Shuhong Wang, Nan Bai
Rok vydání: 2016
Předmět:
Adult
Male
0301 basic medicine
Oncology
medicine.medical_specialty
Adolescent
Graft vs Host Disease
Kaplan-Meier Estimate
Disease
Biology
Real-Time Polymerase Chain Reaction
Models
Biological
Young Adult
03 medical and health sciences
0302 clinical medicine
Double-Blind Method
Predictive Value of Tests
immune system diseases
hemic and lymphatic diseases
Internal medicine
microRNA
Biopsy
medicine
TaqMan
Humans
Single-Blind Method
Noninvasive biomarkers
Hematology
integumentary system
medicine.diagnostic_test
Tumor Necrosis Factor-alpha
Hematopoietic Stem Cell Transplantation
General Medicine
Middle Aged
Allografts
Predictive value
MicroRNAs
surgical procedures
operative
030104 developmental biology
ROC Curve
Area Under Curve
030220 oncology & carcinogenesis
Acute Disease
Immunology
Biomarker (medicine)
Female
Biomarkers
Zdroj: Annals of Hematology. 95:1833-1843
ISSN: 1432-0584
0939-5555
DOI: 10.1007/s00277-016-2781-0
Popis: Currently, the diagnosis of acute graft-versus-host disease (aGVHD) is mainly based on clinical symptoms and biopsy results. This study was designed to further explore new no noninvasive biomarkers for aGVHD prediction/diagnosis. We profiled miRNAs in serum pools from patients with aGVHD (grades II-IV) (n = 9) and non-aGVHD controls (n = 9) by real-time qPCR-based TaqMan MicroRNA arrays. Then, predictive models were established using related miRNAs (n = 38) and verified by a double-blind trial (n = 54). We found that miR-411 was significantly down regulated when aGVHD developed and recovered when aGVHD was controlled, which demonstrated that miR-411 has potential as an indicator for aGVHD monitoring. We developed and validated a predictive model and a diagnostic model for aGVHD. The predictive model included two miRNAs (miR-26b and miR-374a), which could predict an increased risk for aGVHD 1 or 2 weeks in advance, with an AUC, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) of 0.722, 76.19 %, and 69.70 %, respectively. The diagnostic model included three miRNAs (miR-28-5p, miR-489, and miR-671-3p) with an AUC, PPV, and NPV of 0.841, 85.71 % and 83.33 %, respectively. Our results show that circulating miRNAs (miR-26b and miR-374a, miR-28-5p, miR-489 and miR-671-3p) may serve as biomarkers for the prediction and diagnosis of grades II-IV aGVHD.
Databáze: OpenAIRE
Externí odkaz: