Please use this identifier to cite or link to this item: doi:10.22028/D291-35402
Title: MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer
Author(s): Kahraman, Mustafa
Röske, Anne
Laufer, Thomas
Fehlmann, Tobias
Backes, Christina
Kern, Fabian
Kohlhaas, Jochen
Schrörs, Hannah
Saiz, Anna
Zabler, Cassandra
Ludwig, Nicole
Fasching, Peter A.
Strick, Reiner
Rübner, Matthias
Beckmann, Matthias W.
Meese, Eckart
Keller, Andreas
Schrauder, Michael G.
Language: English
Title: Scientific Reports
Volume: 8
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2018
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Breast cancer is a heterogeneous disease with distinct molecular subtypes including the aggressive subtype triple-negative breast cancer (TNBC). We compared blood-borne miRNA signatures of early-stage basal-like (cytokeratin-CK5-positive) TNBC patients to age-matched controls. The miRNAs of TNBC patients were assessed prior to and following platinum-based neoadjuvant chemotherapy (NCT). After an exploratory genome-wide study on 21 cases and 21 controls using microarrays, the identified signatures were verified independently in two laboratories on the same and a new cohort by RT-qPCR. We differentiated the blood of TNBC patients before NCT from controls with 84% sensitivity. The most significant miRNA for this diagnostic classification was miR-126-5p (two tailed t-test p-value of 1.4 × 10−5). Validation confirmed the microarray results for all tested miRNAs. Comparing cancer patients prior to and post NCT highlighted 321 significant miRNAs (among them miR-34a, p-value of 1.2 × 10−23). Our results also suggest that changes in miRNA expression during NCT may have predictive potential to predict pathological complete response (pCR). In conclusion we report that miRNA expression measured from blood facilitates early and minimally-invasive diagnosis of basal-like TNBC. We also demonstrate that NCT has a significant influence on miRNA expression. Finally, we show that blood-borne miRNA profiles monitored over time have potential to predict pCR.
DOI of the first publication: 10.1038/s41598-018-29917-2
Link to this record: urn:nbn:de:bsz:291--ds-354020
hdl:20.500.11880/32325
http://dx.doi.org/10.22028/D291-35402
ISSN: 2045-2322
Date of registration: 4-Feb-2022
Description of the related object: Electronic supplementary material
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-018-29917-2/MediaObjects/41598_2018_29917_MOESM1_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-018-29917-2/MediaObjects/41598_2018_29917_MOESM2_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-018-29917-2/MediaObjects/41598_2018_29917_MOESM3_ESM.xlsx
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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