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Pre-transplant expressions of microRNAs, comorbidities, and post-transplant mortality.

Bone marrow transplantation | 2019

We analyzed micro-RNAs (miRs) as possible diagnostic biomarkers for relevant comorbidities prior to and prognostic biomarkers for mortality following hematopoietic cell transplantation (HCT). A randomly selected group of patients (n = 36) were divided into low-risk (HCT-comorbidity index [HCT-CI] score of 0 and survived HCT) and high-risk (HCT-CI scores ≥ 4 and deceased after HCT) groups. There were 654 miRs tested and 19 met the pre-specified significance level of p < 0.1. In subsequent models, only eight miRs maintained statistical significance in regression models after adjusting for baseline demographic factors; miRs-374b and -454 were underexpressed, whereas miRs-142-3p, -191, -424, -590-3p, -29c, and -15b were overexpressed among high-risk patients relative to low-risk patients. Areas under the curve for these eight miRs ranged between 0.74 and 0.81, suggesting strong predictive capacity. Consideration of miRs may improve risk assessment of mortality and should be further explored in larger future prospective studies.

Pubmed ID: 30279573 RIS Download

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Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R00 HL088021
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK056465
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL099993
  • Agency: NHLBI NIH HHS, United States
    Id: K99 HL088021
  • Agency: NIDDK NIH HHS, United States
    Id: U54 DK106829

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Cluster (tool)

RRID:SCR_013505

Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

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