Please use this identifier to cite or link to this item: doi:10.22028/D291-29795
Title: Low miR-150-5p and miR-320b Expression Predicts Reduced Survival of COPD Patients
Author(s): Keller, Andreas
Ludwig, Nicole
Fehlmann, Tobias
Kahraman, Mustafa
Backes, Christina
Kern, Fabian
Vogelmeier, Claus F.
Diener, Caroline
Fischer, Ulrike
Biertz, Frank
Herr, Christian
Jörres, Rudolf A.
Lenhof, Hans-Peter
Bals, Robert
Meese, Eckart
Language: English
Title: Cells
Volume: 8
Issue: 10
Publisher/Platform: MDPI
Year of Publication: 2019
Free key words: miRNA
COPD
cancer
survival
DDC notations: 500 Science
610 Medicine and health
Publikation type: Journal Article
Abstract: Chronic obstructive pulmonary disease (COPD) is associated with an increased risk of death, reducing life expectancy on average between 5 and 7 years. The survival time after diagnosis, however, varies considerably as a result of the heterogeneity of COPD. Therefore, markers that predict individual survival of COPD patients are of great value. We analyzed baseline molecular profiles and collected 54 months of follow-up data of the cohort study “COPD and SYstemic consequences-COmorbidities NETwork” (COSYCONET). Genome-wide microRNA signatures from whole blood collected at time of the inclusion in the study were generated for 533 COPD patients including patients that deceased during the 54-month follow-up period (n = 53) and patients that survived this period (n = 480). We identified two blood-born microRNAs (miR-150-5p and miR-320b) that were highly predictive for survival of COPD patients. The expression change was then confirmed by RT-qPCR in 245 individuals. Ninety percent of patients with highest expression of miR-150-5p survived the 54-month period in contrast to only 50% of patients with lowest expression intensity. Moreover, the abundance of the oncogenic miR-150-5p in blood of COPD patients was predictive for the development of cancer. Thus, molecular profiles measured at the time of a COPD diagnosis have a high predictive power for the survival of patients.
DOI of the first publication: 10.3390/cells8101162
Link to this record: urn:nbn:de:bsz:291--ds-297954
hdl:20.500.11880/29273
http://dx.doi.org/10.22028/D291-29795
ISSN: 2073-4409
Date of registration: 17-Jun-2020
Description of the related object: Supplementary Material
Related object: https://www.mdpi.com/2073-4409/8/10/1162/s1
Faculty: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
MI - Informatik
Professorship: M - Keiner Professur zugeordnet
MI - Prof. Dr. Hans-Peter Lenhof
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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