MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer

MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer. Kahraman, M., Röske, A., Laufer, T., Fehlmann, T., Backes, C., Kern, F., Kohlhaas, J., Schrörs, H., Saiz, A., Zabler, C., Ludwig, N., Fasching, P. A, Strick, R., Rübner, M., Beckmann, M. W, Meese, E., Keller, A., & Schrauder, M. G Scientific reports, 8(1):11584, Springer Nature, August, 2018.
doi abstract bibtex

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 ). 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 ). 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.

@Article{Kahraman2018,
  author       = {Kahraman, Mustafa and Röske, Anne and Laufer, Thomas and Fehlmann, Tobias and Backes, Christina and Kern, Fabian and Kohlhaas, Jochen and Schrörs, Hannah and Saiz, Anna and Zabler, Cassandra and Ludwig, Nicole and Fasching, Peter A and Strick, Reiner and Rübner, Matthias and Beckmann, Matthias W and Meese, Eckart and Keller, Andreas and Schrauder, Michael G},
  title        = {{MicroRNA} in diagnosis and therapy monitoring of early-stage triple-negative breast cancer},
  journal      = {Scientific reports},
  year         = {2018},
  volume       = {8},
  number       = {1},
  pages        = {11584},
  month        = aug,
  issn         = {2045-2322},
  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 ). 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 ). 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.},
  country      = {England},
  doi          = {10.1038/s41598-018-29917-2},
  issn-linking = {2045-2322},
  issue        = {1},
  nlm-id       = {101563288},
  owner        = {NLM},
  pii          = {10.1038/s41598-018-29917-2},
  pmc          = {PMC6072710},
  pmid         = {30072748},
  publisher    = {Springer Nature},
  pubmodel     = {Electronic},
  pubstatus    = {epublish},
  revised      = {2018-08-07},
}

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