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The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients

SIMPLE SUMMARY: The proteasome inhibitor bortezomib is currently commonly used for the treatment of multiple myeloma (MM). MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in messenger RNA silencing and post-transcriptional regulation of gene expression. In MM, the expression of...

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Autores principales: Robak, Paweł, Dróżdż, Izabela, Jarych, Dariusz, Mikulski, Damian, Węgłowska, Edyta, Siemieniuk-Ryś, Monika, Misiewicz, Małgorzata, Stawiski, Konrad, Fendler, Wojciech, Szemraj, Janusz, Smolewski, Piotr, Robak, Tadeusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565855/
https://www.ncbi.nlm.nih.gov/pubmed/32916955
http://dx.doi.org/10.3390/cancers12092569
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author Robak, Paweł
Dróżdż, Izabela
Jarych, Dariusz
Mikulski, Damian
Węgłowska, Edyta
Siemieniuk-Ryś, Monika
Misiewicz, Małgorzata
Stawiski, Konrad
Fendler, Wojciech
Szemraj, Janusz
Smolewski, Piotr
Robak, Tadeusz
author_facet Robak, Paweł
Dróżdż, Izabela
Jarych, Dariusz
Mikulski, Damian
Węgłowska, Edyta
Siemieniuk-Ryś, Monika
Misiewicz, Małgorzata
Stawiski, Konrad
Fendler, Wojciech
Szemraj, Janusz
Smolewski, Piotr
Robak, Tadeusz
author_sort Robak, Paweł
collection PubMed
description SIMPLE SUMMARY: The proteasome inhibitor bortezomib is currently commonly used for the treatment of multiple myeloma (MM). MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in messenger RNA silencing and post-transcriptional regulation of gene expression. In MM, the expression of several miRNAs is markedly dysregulated suggesting their role in MM pathogenesis and drug resistance. The aim of our study was to assess miRNA expression patterns in the serum of MM patients treated with bortezomib. We have identified 21 serum miRNAs differentially expressed in patients refractory to bortezomib-based chemotherapy. A miRNAs-based prediction model was developed to assess the probability of refractoriness to bortezomib. Our findings, indicating the differential expression of miRNAs between bortezomib-refractory and bortezomib-sensitive patients, suggest that these circulating miRNAs may play an important role in personalized treatment of MM patients. ABSTRACT: Bortezomib is the first-in-class proteasome inhibitor, commonly used in the treatment of multiple myeloma (MM). The mechanisms underlying acquired bortezomib resistance in MM are poorly understood. Several cell-free miRNAs have been found to be aberrantly regulated in MM patients. The aim of this pilot study was to identify a blood-based miRNA signature that predicts bortezomib-based therapy efficacy in MM patients. Thirty MM patients treated with bortezomib-based regimens were studied, including 19 with refractory disease and 11 who were bortezomib sensitive. Serum miRNA expression patterns were identified with miRCURY LNA miRNA miRNome PCR Panels I+II (Exiqon/Qiagen). Univariate analysis found a total of 21 miRNAs to be differentially expressed in patients with MM according to bortezomib sensitivity. Multivariate logistic regression was created and allowed us to discriminate refractory from sensitive patients with a very high AUC of 0.95 (95%CI: 0.84–1.00); sensitivity, specificity and accuracy were estimated as 0.95, 0.91, and 0.93. The model used expression of 3 miRNAs: miR-215-5p, miR-181a-5p and miR-376c-3p. This study is the first to demonstrate that serum expression of several miRNAs differs between patients who are bortezomib refractory and those who are sensitive which may prove useful in studies aimed at overcoming drug resistance in MM treatment.
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spelling pubmed-75658552020-10-26 The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients Robak, Paweł Dróżdż, Izabela Jarych, Dariusz Mikulski, Damian Węgłowska, Edyta Siemieniuk-Ryś, Monika Misiewicz, Małgorzata Stawiski, Konrad Fendler, Wojciech Szemraj, Janusz Smolewski, Piotr Robak, Tadeusz Cancers (Basel) Article SIMPLE SUMMARY: The proteasome inhibitor bortezomib is currently commonly used for the treatment of multiple myeloma (MM). MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in messenger RNA silencing and post-transcriptional regulation of gene expression. In MM, the expression of several miRNAs is markedly dysregulated suggesting their role in MM pathogenesis and drug resistance. The aim of our study was to assess miRNA expression patterns in the serum of MM patients treated with bortezomib. We have identified 21 serum miRNAs differentially expressed in patients refractory to bortezomib-based chemotherapy. A miRNAs-based prediction model was developed to assess the probability of refractoriness to bortezomib. Our findings, indicating the differential expression of miRNAs between bortezomib-refractory and bortezomib-sensitive patients, suggest that these circulating miRNAs may play an important role in personalized treatment of MM patients. ABSTRACT: Bortezomib is the first-in-class proteasome inhibitor, commonly used in the treatment of multiple myeloma (MM). The mechanisms underlying acquired bortezomib resistance in MM are poorly understood. Several cell-free miRNAs have been found to be aberrantly regulated in MM patients. The aim of this pilot study was to identify a blood-based miRNA signature that predicts bortezomib-based therapy efficacy in MM patients. Thirty MM patients treated with bortezomib-based regimens were studied, including 19 with refractory disease and 11 who were bortezomib sensitive. Serum miRNA expression patterns were identified with miRCURY LNA miRNA miRNome PCR Panels I+II (Exiqon/Qiagen). Univariate analysis found a total of 21 miRNAs to be differentially expressed in patients with MM according to bortezomib sensitivity. Multivariate logistic regression was created and allowed us to discriminate refractory from sensitive patients with a very high AUC of 0.95 (95%CI: 0.84–1.00); sensitivity, specificity and accuracy were estimated as 0.95, 0.91, and 0.93. The model used expression of 3 miRNAs: miR-215-5p, miR-181a-5p and miR-376c-3p. This study is the first to demonstrate that serum expression of several miRNAs differs between patients who are bortezomib refractory and those who are sensitive which may prove useful in studies aimed at overcoming drug resistance in MM treatment. MDPI 2020-09-09 /pmc/articles/PMC7565855/ /pubmed/32916955 http://dx.doi.org/10.3390/cancers12092569 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
Robak, Paweł
Dróżdż, Izabela
Jarych, Dariusz
Mikulski, Damian
Węgłowska, Edyta
Siemieniuk-Ryś, Monika
Misiewicz, Małgorzata
Stawiski, Konrad
Fendler, Wojciech
Szemraj, Janusz
Smolewski, Piotr
Robak, Tadeusz
The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title_full The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title_fullStr The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title_full_unstemmed The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title_short The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
title_sort value of serum microrna expression signature in predicting refractoriness to bortezomib-based therapy in multiple myeloma patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565855/
https://www.ncbi.nlm.nih.gov/pubmed/32916955
http://dx.doi.org/10.3390/cancers12092569
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