Version 1
: Received: 25 November 2022 / Approved: 28 November 2022 / Online: 28 November 2022 (10:51:17 CET)
How to cite:
Krasnyi, A.M.; Sadekova, A.A.; Kometova, V.V.; Rodionov, V.V.; Sukhikh, G.T. Methylation Profile of Small Breast Cancer Tumors. Preprints2022, 2022110513. https://doi.org/10.20944/preprints202211.0513.v1
Krasnyi, A.M.; Sadekova, A.A.; Kometova, V.V.; Rodionov, V.V.; Sukhikh, G.T. Methylation Profile of Small Breast Cancer Tumors. Preprints 2022, 2022110513. https://doi.org/10.20944/preprints202211.0513.v1
Krasnyi, A.M.; Sadekova, A.A.; Kometova, V.V.; Rodionov, V.V.; Sukhikh, G.T. Methylation Profile of Small Breast Cancer Tumors. Preprints2022, 2022110513. https://doi.org/10.20944/preprints202211.0513.v1
APA Style
Krasnyi, A.M., Sadekova, A.A., Kometova, V.V., Rodionov, V.V., & Sukhikh, G.T. (2022). Methylation Profile of Small Breast Cancer Tumors. Preprints. https://doi.org/10.20944/preprints202211.0513.v1
Chicago/Turabian Style
Krasnyi, A.M., Valeriy V. Rodionov and Gennadiy T. Sukhikh. 2022 "Methylation Profile of Small Breast Cancer Tumors" Preprints. https://doi.org/10.20944/preprints202211.0513.v1
Abstract
The DNA methylation profile of breast cancer differs from that in healthy tissue and can be used as a diagnostic and prognostic biomarker. Aim of the study: to compare gene methylation in small malignant breast tumors less than 2 cm and in healthy tissue and fibroadenoma. Methylation of the following 15 genes was studied: MAST1, PRDM14, ZNF177, DNM2, SSH1, AP2M1, CACNA1E, CPEB4, DLGAP2, CCDC181, GCM2, ITPRIPL1, POM121L2, KCNQ1, TIMP3. Methods: analysis was made by our modified MS-HRM method followed confirmation of the results by pyrosequencing. The genes were selected from publications that studied DNA methylation in breast cancer with high genome coverage. The study group included 48 samples of breast cancer, the control group included 24 samples of fibroadenoma and 24 samples of healthy tissue. Results: significant differences were found in methylation of 8 genes: CCDC181, GSM2, ITPRIPL1, ZNF177, CACNA1E, DLGAP2, TIMP3 (all р<0.001), and PRDM14 (р=0.002). The most accurate diagnostic value, based on logistic regression, was shown with the compound of two genes – CCDC181 and ZNF177 (AUC=0.99) in pyrosequencing analysis. Conclusion: small breast cancer tumors have a specific DNA methylation profile that distinguishes them from healthy tissue and benign proliferative lesions.
Keywords
breast cancer; small tumors; DNA methylation; CCDC181; ZNF177; fibroadenoma; biomarker; MS-HRM; pyrosequencing
Subject
Medicine and Pharmacology, Oncology and Oncogenics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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