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DNA methylation markers panel can improve prediction of response to neoadjuvant chemotherapy in luminal B breast cancer.
- Source :
-
Scientific reports [Sci Rep] 2020 Jun 08; Vol. 10 (1), pp. 9239. Date of Electronic Publication: 2020 Jun 08. - Publication Year :
- 2020
-
Abstract
- 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%.
- Subjects :
- Area Under Curve
Breast Neoplasms pathology
CpG Islands
Female
Humans
Interferon Regulatory Factors genetics
KCNQ2 Potassium Channel genetics
Logistic Models
Middle Aged
ROC Curve
Sodium-Hydrogen Exchanger 3 genetics
Biomarkers, Tumor genetics
Breast Neoplasms drug therapy
DNA Methylation
Neoadjuvant Therapy
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 32514046
- Full Text :
- https://doi.org/10.1038/s41598-020-66197-1