Clinical significance of aberrant microRNAs expression in predicting disease relapse/refractoriness to treatment in diffuse large B-cell lymphoma: A meta-analysis.
Diffuse large B-cell lymphoma
Disease relapse
MicroRNA
Predict
Progression free survival period
Treatment response
Journal
Critical reviews in oncology/hematology
ISSN: 1879-0461
Titre abrégé: Crit Rev Oncol Hematol
Pays: Netherlands
ID NLM: 8916049
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
08
01
2019
revised:
27
09
2019
accepted:
07
10
2019
pubmed:
17
11
2019
medline:
8
2
2020
entrez:
17
11
2019
Statut:
ppublish
Résumé
The clinical significance of aberrantly expressed microRNAs in predicting treatment response to chemotherapy in diffuse large B-cell lymphoma patients (DLBCL) remains uncertain. Feasibility of microRNA testing to predict treatment outcome was evaluated. Twenty-two types of aberrantly expressed microRNAs were associated with poor treatment response; pooled hazard ratio (HR) was 2.14 [95%CI:1.78-2.57, P < 0.00001]. DLBCL patients with aberrant expression of miR-155, miR-17/92 clusters, miR-21, miR-224, or miR-146b-5p had a higher risk of treatment resistance or shorter period of disease relapse/progression free survival, with HR = 2.71 (95%CI:1.66-4.42, P < 0.0001), HR = 2.70 (95%CI:1.50-4.85, P = 0.0010), HR = 2.20 (95%CI:1.31-3.69, P = 0.003), HR = 2.07 (95%CI:1.50-2.86, P < 0.00001), HR = 2.26 (95%CI:1.40-3.65, P = 0.0009), respectively. The association between aberrant expression of microRNAs and treatment response appears to be stronger in formalin-fixed-paraffin-embedded tissue (HR = 2.41, 95%CI:1.79-3.25, P < 0.00001) than in fresh-frozen samples (HR = 1.94, 95%CI: 1.22-3.08, P = 0.005) and peripheral blood samples (HR = 1.94, 95%CI:1.53-2.46, P < 0.00001). Mir-155, miR-17/92 clusters, miR-21, miR-224, and mir-146b-5p have value in predicting treatment response to chemotherapy in DLBCL.
Identifiants
pubmed: 31733445
pii: S1040-8428(19)30190-8
doi: 10.1016/j.critrevonc.2019.102818
pii:
doi:
Substances chimiques
Biomarkers, Tumor
0
MicroRNAs
0
Types de publication
Journal Article
Meta-Analysis
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102818Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.