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Titel: MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer
VerfasserIn: 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.
Sprache: Englisch
Titel: Scientific Reports
Bandnummer: 8
Heft: 1
Verlag/Plattform: Springer Nature
Erscheinungsjahr: 2018
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.1038/s41598-018-29917-2
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-354020
hdl:20.500.11880/32325
http://dx.doi.org/10.22028/D291-35402
ISSN: 2045-2322
Datum des Eintrags: 4-Feb-2022
Bezeichnung des in Beziehung stehenden Objekts: Electronic supplementary material
In Beziehung stehendes Objekt: 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
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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