Cargando…

Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer

Background: In order to characterize the various subtypes of breast cancer more precisely and improve patients selection for breast conserving therapy (BCT), molecular profiling has gained importance over the past two decades. MicroRNAs, which are small non-coding RNAs, can potentially regulate nume...

Descripción completa

Detalles Bibliográficos
Autores principales: Zellinger, Barbara, Bodenhofer, Ulrich, Engländer, Immanuela A., Kronberger, Cornelia, Strasser, Peter, Grambozov, Brane, Fastner, Gerd, Stana, Markus, Reitsamer, Roland, Sotlar, Karl, Sedlmayer, Felix, Zehentmayr, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759924/
https://www.ncbi.nlm.nih.gov/pubmed/33255991
http://dx.doi.org/10.3390/genes11121404
_version_ 1783627211681562624
author Zellinger, Barbara
Bodenhofer, Ulrich
Engländer, Immanuela A.
Kronberger, Cornelia
Strasser, Peter
Grambozov, Brane
Fastner, Gerd
Stana, Markus
Reitsamer, Roland
Sotlar, Karl
Sedlmayer, Felix
Zehentmayr, Franz
author_facet Zellinger, Barbara
Bodenhofer, Ulrich
Engländer, Immanuela A.
Kronberger, Cornelia
Strasser, Peter
Grambozov, Brane
Fastner, Gerd
Stana, Markus
Reitsamer, Roland
Sotlar, Karl
Sedlmayer, Felix
Zehentmayr, Franz
author_sort Zellinger, Barbara
collection PubMed
description Background: In order to characterize the various subtypes of breast cancer more precisely and improve patients selection for breast conserving therapy (BCT), molecular profiling has gained importance over the past two decades. MicroRNAs, which are small non-coding RNAs, can potentially regulate numerous downstream target molecules and thereby interfere in carcinogenesis and treatment response via multiple pathways. The aim of the current two-phase study was to investigate whether hsa-miR-375-signaling through RASD1 could predict local control (LC) in early breast cancer. Results: The patient and treatment characteristics of 81 individuals were similarly distributed between relapse (n = 27) and control groups (n = 54). In the pilot phase, the primary tumors of 28 patients were analyzed with microarray technology. Of the more than 70,000 genes on the chip, 104 potential hsa-miR-375 target molecules were found to have a lower expression level in relapse patients compared to controls (p-value < 0.2). For RASD1, a hsa-miR-375 binding site was predicted by an in silico search in five mRNA-miRNA databases and mechanistically proven in previous pre-clinical studies. Its expression levels were markedly lower in relapse patients than in controls (p-value of 0.058). In a second phase, this finding could be validated in an independent set of 53 patients using ddPCR. Patients with enhanced levels of hsa-miR-375 compared to RASD1 had a higher probability of local relapse than those with the inverse expression pattern of the two markers (log-rank test, p-value = 0.069). Conclusion: This two-phase study demonstrates that hsa-miR-375/RASD1 signaling is able to predict local control in early breast cancer patients, which—to our knowledge—is the first clinical report on a miR combined with one of its downstream target proteins predicting LC in breast cancer.
format Online
Article
Text
id pubmed-7759924
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77599242020-12-26 Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer Zellinger, Barbara Bodenhofer, Ulrich Engländer, Immanuela A. Kronberger, Cornelia Strasser, Peter Grambozov, Brane Fastner, Gerd Stana, Markus Reitsamer, Roland Sotlar, Karl Sedlmayer, Felix Zehentmayr, Franz Genes (Basel) Article Background: In order to characterize the various subtypes of breast cancer more precisely and improve patients selection for breast conserving therapy (BCT), molecular profiling has gained importance over the past two decades. MicroRNAs, which are small non-coding RNAs, can potentially regulate numerous downstream target molecules and thereby interfere in carcinogenesis and treatment response via multiple pathways. The aim of the current two-phase study was to investigate whether hsa-miR-375-signaling through RASD1 could predict local control (LC) in early breast cancer. Results: The patient and treatment characteristics of 81 individuals were similarly distributed between relapse (n = 27) and control groups (n = 54). In the pilot phase, the primary tumors of 28 patients were analyzed with microarray technology. Of the more than 70,000 genes on the chip, 104 potential hsa-miR-375 target molecules were found to have a lower expression level in relapse patients compared to controls (p-value < 0.2). For RASD1, a hsa-miR-375 binding site was predicted by an in silico search in five mRNA-miRNA databases and mechanistically proven in previous pre-clinical studies. Its expression levels were markedly lower in relapse patients than in controls (p-value of 0.058). In a second phase, this finding could be validated in an independent set of 53 patients using ddPCR. Patients with enhanced levels of hsa-miR-375 compared to RASD1 had a higher probability of local relapse than those with the inverse expression pattern of the two markers (log-rank test, p-value = 0.069). Conclusion: This two-phase study demonstrates that hsa-miR-375/RASD1 signaling is able to predict local control in early breast cancer patients, which—to our knowledge—is the first clinical report on a miR combined with one of its downstream target proteins predicting LC in breast cancer. MDPI 2020-11-26 /pmc/articles/PMC7759924/ /pubmed/33255991 http://dx.doi.org/10.3390/genes11121404 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zellinger, Barbara
Bodenhofer, Ulrich
Engländer, Immanuela A.
Kronberger, Cornelia
Strasser, Peter
Grambozov, Brane
Fastner, Gerd
Stana, Markus
Reitsamer, Roland
Sotlar, Karl
Sedlmayer, Felix
Zehentmayr, Franz
Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title_full Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title_fullStr Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title_full_unstemmed Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title_short Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
title_sort hsa-mir-375/rasd1 signaling may predict local control in early breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759924/
https://www.ncbi.nlm.nih.gov/pubmed/33255991
http://dx.doi.org/10.3390/genes11121404
work_keys_str_mv AT zellingerbarbara hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT bodenhoferulrich hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT englanderimmanuelaa hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT kronbergercornelia hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT strasserpeter hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT grambozovbrane hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT fastnergerd hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT stanamarkus hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT reitsamerroland hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT sotlarkarl hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT sedlmayerfelix hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer
AT zehentmayrfranz hsamir375rasd1signalingmaypredictlocalcontrolinearlybreastcancer