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DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer
Despite the advantages of neoadjuvant chemotherapy (NACT), associated toxicity is a serious complication that renders monitoring of the patients’ response to NACT highly important. Thus, prediction of tumor response to treatment is imperative to avoid exposure of potential non-responders to deleteri...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280523/ https://www.ncbi.nlm.nih.gov/pubmed/32514046 http://dx.doi.org/10.1038/s41598-020-66197-1 |
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author | Sigin, Vladimir O. Kalinkin, Alexey I. Kuznetsova, Ekaterina B. Simonova, Olga A. Chesnokova, Galina G. Litviakov, Nikolai V. Slonimskaya, Elena M. Tsyganov, Matvey M. Ibragimova, Marina K. Volodin, Ilya V. Vinogradov, Ilya I. Vinogradov, Maksim I. Vinogradov, Igor Y. Kutsev, Sergey I. Strelnikov, Vladimir V. Zaletaev, Dmitry V. Tanas, Alexander S. |
author_facet | Sigin, Vladimir O. Kalinkin, Alexey I. Kuznetsova, Ekaterina B. Simonova, Olga A. Chesnokova, Galina G. Litviakov, Nikolai V. Slonimskaya, Elena M. Tsyganov, Matvey M. Ibragimova, Marina K. Volodin, Ilya V. Vinogradov, Ilya I. Vinogradov, Maksim I. Vinogradov, Igor Y. Kutsev, Sergey I. Strelnikov, Vladimir V. Zaletaev, Dmitry V. Tanas, Alexander S. |
author_sort | Sigin, Vladimir O. |
collection | PubMed |
description | Despite the advantages of neoadjuvant chemotherapy (NACT), associated toxicity is a serious complication that renders monitoring of the patients’ response to NACT highly important. Thus, prediction of tumor response to treatment is imperative to avoid exposure of potential non-responders to deleterious complications. We have performed genome-wide analysis of DNA methylation by XmaI-RRBS and selected CpG dinucleotides differential methylation of which discriminates luminal B breast cancer samples with different sensitivity to NACT. With this data, we have developed multiplex methylation sensitive restriction enzyme PCR (MSRE-PCR) protocol for determining the methylation status of 10 genes (SLC9A3, C1QL2, DPYS, IRF4, ADCY8, KCNQ2, TERT, SYNDIG1, SKOR2 and GRIK1) that distinguish BC samples with different NACT response. Analysis of these 10 markers by MSRE-PCR in biopsy samples allowed us to reveal three top informative combinations of markers, (1) IRF4 and C1QL2; (2) IRF4, C1QL2, and ADCY8; (3) IRF4, C1QL2, and DPYS, with the areas under ROC curves (AUCs) of 0.75, 0.78 and 0.74, respectively. A classifier based on IRF4 and C1QL2 better meets the diagnostic panel simplicity requirements, as it consists of only two markers. Diagnostic accuracy of the panel of these two markers is 0.75, with the sensitivity of 75% and specificity of 75%. |
format | Online Article Text |
id | pubmed-7280523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72805232020-06-15 DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer Sigin, Vladimir O. Kalinkin, Alexey I. Kuznetsova, Ekaterina B. Simonova, Olga A. Chesnokova, Galina G. Litviakov, Nikolai V. Slonimskaya, Elena M. Tsyganov, Matvey M. Ibragimova, Marina K. Volodin, Ilya V. Vinogradov, Ilya I. Vinogradov, Maksim I. Vinogradov, Igor Y. Kutsev, Sergey I. Strelnikov, Vladimir V. Zaletaev, Dmitry V. Tanas, Alexander S. Sci Rep Article Despite the advantages of neoadjuvant chemotherapy (NACT), associated toxicity is a serious complication that renders monitoring of the patients’ response to NACT highly important. Thus, prediction of tumor response to treatment is imperative to avoid exposure of potential non-responders to deleterious complications. We have performed genome-wide analysis of DNA methylation by XmaI-RRBS and selected CpG dinucleotides differential methylation of which discriminates luminal B breast cancer samples with different sensitivity to NACT. With this data, we have developed multiplex methylation sensitive restriction enzyme PCR (MSRE-PCR) protocol for determining the methylation status of 10 genes (SLC9A3, C1QL2, DPYS, IRF4, ADCY8, KCNQ2, TERT, SYNDIG1, SKOR2 and GRIK1) that distinguish BC samples with different NACT response. Analysis of these 10 markers by MSRE-PCR in biopsy samples allowed us to reveal three top informative combinations of markers, (1) IRF4 and C1QL2; (2) IRF4, C1QL2, and ADCY8; (3) IRF4, C1QL2, and DPYS, with the areas under ROC curves (AUCs) of 0.75, 0.78 and 0.74, respectively. A classifier based on IRF4 and C1QL2 better meets the diagnostic panel simplicity requirements, as it consists of only two markers. Diagnostic accuracy of the panel of these two markers is 0.75, with the sensitivity of 75% and specificity of 75%. Nature Publishing Group UK 2020-06-08 /pmc/articles/PMC7280523/ /pubmed/32514046 http://dx.doi.org/10.1038/s41598-020-66197-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sigin, Vladimir O. Kalinkin, Alexey I. Kuznetsova, Ekaterina B. Simonova, Olga A. Chesnokova, Galina G. Litviakov, Nikolai V. Slonimskaya, Elena M. Tsyganov, Matvey M. Ibragimova, Marina K. Volodin, Ilya V. Vinogradov, Ilya I. Vinogradov, Maksim I. Vinogradov, Igor Y. Kutsev, Sergey I. Strelnikov, Vladimir V. Zaletaev, Dmitry V. Tanas, Alexander S. DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title | DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title_full | DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title_fullStr | DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title_full_unstemmed | DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title_short | DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer |
title_sort | dna methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal b breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280523/ https://www.ncbi.nlm.nih.gov/pubmed/32514046 http://dx.doi.org/10.1038/s41598-020-66197-1 |
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