Please use this identifier to cite or link to this item: doi:10.22028/D291-30342
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Title: Genome-wide MicroRNA Expression Profiles in COPD: Early Predictors for Cancer Development
Author(s): Keller, Andreas
Fehlmann, Tobias
Ludwig, Nicole
Kahraman, Mustafa
Laufer, Thomas
Backes, Christina
Vogelmeier, Claus
Diener, Caroline
Biertz, Frank
Herr, Christian
Jörres, Rudolf A.
Lenhof, Hans-Peter
Meese, Eckart
Bals, Robert
Language: English
Title: Genomics, proteomics & bioinformatics
Volume: 16
Issue: 3
Startpage: 162
Endpage: 171
Publisher/Platform: Elsevier
Year of Publication: 2018
Publikation type: Journal Article
Abstract: Chronic obstructive pulmonary disease (COPD) significantly increases the risk of developing cancer. Biomarker studies frequently follow a case-control set-up in which patients diagnosed with a disease are compared to controls. Longitudinal cohort studies such as the COPD-centered German COPD and SYstemic consequences-COmorbidities NETwork (COSYCONET) study provide the patient and biomaterial base for discovering predictive molecular markers. We asked whether microRNA (miRNA) profiles in blood collected from COPD patients prior to a tumor diagnosis could support an early diagnosis of tumor development independent of the tumor type. From 2741 participants of COSYCONET diagnosed with COPD, we selected 534 individuals including 33 patients who developed cancer during the follow-up period of 54 months and 501 patients who did not develop cancer, but had similar age, gender and smoking history. Genome-wide miRNA profiles were generated and evaluated using machine learning techniques. For patients developing cancer we identified nine miRNAs with significantly decreased abundance (two-tailed unpaired t-test adjusted for multiple testing P < 0.05), including members of the miR-320 family. The identified miRNAs regulate different cancer-related pathways including the MAPK pathway (P = 2.3 × 10-5). We also observed the impact of confounding factors on the generated miRNA profiles, underlining the value of our matched analysis. For selected miRNAs, qRT-PCR analysis was applied to validate the results. In conclusion, we identified several miRNAs in blood of COPD patients, which could serve as candidates for biomarkers to help identify COPD patients at risk of developing cancer.
DOI of the first publication: 10.1016/j.gpb.2018.06.001
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S1672022918301384?via%3Dihub
Link to this record: hdl:20.500.11880/28751
http://dx.doi.org/10.22028/D291-30342
ISSN: 2210-3244
1672-0229
Date of registration: 20-Feb-2020
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Hans-Peter Lenhof
Collections:UniBib – Die Universitätsbibliographie

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