Please use this identifier to cite or link to this item: doi:10.22028/D291-35404
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
Pages: 162-171
Publisher/Platform: Elsevier
Year of Publication: 2018
Free key words: microRNA
DDC notations: 004 Computer science, internet
610 Medicine and health
Publikation type: Journal Article
Abstract: Chronic obstructive pulmonary disease (COPD) significantly increases the risk of devel oping 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 pro vide 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 diag nosis 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
Link to this record: urn:nbn:de:bsz:291--ds-354040
ISSN: 1672-0229
Date of registration: 7-Feb-2022
Faculty: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
Department: M - Humangenetik
M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
MI - Informatik
Professorship: M - Prof. Dr. Robert Bals
M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
MI - Prof. Dr. Hans-Peter Lenhof
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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