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 |
Files for this record:
File | Description | Size | Format | |
---|---|---|---|---|
cells-08-01162.pdf | 1,51 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License