Literature DB >> 34792716

Aberrant Methylation of 21 MicroRNA Genes in Breast Cancer: Sets of Genes Associated with Progression and a System of Markers for Predicting Metastasis.

V I Loginov1, A M Burdennyy2, E A Filippova1, I V Pronina1, S S Lukina1, T P Kazubskaya3, A V Karpukhin4, D S Khodyrev5, E A Braga1.   

Abstract

Systemic analysis of the relationship between the levels of methylation of 21 microRNA genes and the parameters of breast cancer progression was performed on a representative sample of 91 paired specimens of breast cancer and histologically normal tissues and a system of markers for prediction of metastasis was proposed. A significant association of hypermethylation of 11 genes with late (III-IV) clinical stages was found, and for 6 genes (MIR124-1, MIR127, MIR34B/C, MIR9-3, MIR1258, and MIR339) this association was highly significant (p≤0.001, FDR=0.01). For MIR9-3 and MIR339, an association with tumor size was demonstrated (p<0.001, FDR=0.01). No association of the levels of methylation of the analyzed microRNA genes with the degree of differentiation were found. An association with lymph node metastasis was established for 9 microRNA genes; the most significant association was shown for 6 genes MIR125B-1, MIR127, MIR9-3, MIR339, MIR124-3, and MIR1258 (p<0.005, FDR=0.05). Based on these 6 genes, a marker system for predicting breast cancer metastasis was developed by ROC analysis. This system is characterized by 87% sensitivity and 77% specificity (AUC=0.894). The proposed system may have clinical application in the personalized treatment of breast cancer patients.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

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Keywords:  breast cancer; metastasis prognosis; methylation; microRNA genes

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Year:  2021        PMID: 34792716     DOI: 10.1007/s10517-021-05333-x

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  11 in total

1.  Hypermethylated Genes of MicroRNA in Ovarian Carcinoma: Metastasis Prediction Marker Systems.

Authors:  E A Filippova; V I Loginov; A M Burdennyi; E A Braga; I V Pronina; T P Kazubskaya; D N Kushlinskii; D O Utkin; M V Fridman; D S Khodyrev; N E Kushlinskii
Journal:  Bull Exp Biol Med       Date:  2019-06-08       Impact factor: 0.804

Review 2.  MicroRNA epigenetic signatures in human disease.

Authors:  Klara Piletič; Tanja Kunej
Journal:  Arch Toxicol       Date:  2016-08-24       Impact factor: 5.153

Review 3.  MicroRNAs and Epigenetics.

Authors:  Catia Moutinho; Manel Esteller
Journal:  Adv Cancer Res       Date:  2017-08-04       Impact factor: 6.242

Review 4.  Key microRNAs in the biology of breast cancer; emerging evidence in the last decade.

Authors:  Monireh Khordadmehr; Roya Shahbazi; Hamed Ezzati; Farinaz Jigari-Asl; Sanam Sadreddini; Behzad Baradaran
Journal:  J Cell Physiol       Date:  2018-11-13       Impact factor: 6.384

5.  System of Markers Based on the Methylation of a Group of Proapoptotic Genes in Combination with MicroRNA in the Diagnosis of Breast Cancer.

Authors:  E A Braga; A M Burdennyy; I V Pronina; E A Filippova; T P Kazubskaya; M V Fridman; D S Khodyrev; A V Karpukhin; V I Loginov; N E Kushlinskii
Journal:  Bull Exp Biol Med       Date:  2020-01-15       Impact factor: 0.804

6.  Circulating cell-free DNA in breast cancer: size profiling, levels, and methylation patterns lead to prognostic and predictive classifiers.

Authors:  Maria Panagopoulou; Makrina Karaglani; Ioanna Balgkouranidou; Eirini Biziota; Triantafillia Koukaki; Evaggelos Karamitrousis; Evangelia Nena; Ioannis Tsamardinos; George Kolios; Evi Lianidou; Stylianos Kakolyris; Ekaterini Chatzaki
Journal:  Oncogene       Date:  2019-01-14       Impact factor: 9.867

7.  A methylation-specific and SYBR-green-based quantitative polymerase chain reaction technique for O6-methylguanine DNA methyltransferase promoter methylation analysis.

Authors:  Kirsten Hattermann; H Maximilian Mehdorn; Rolf Mentlein; Susann Schultka; Janka Held-Feindt
Journal:  Anal Biochem       Date:  2008-03-14       Impact factor: 3.365

Review 8.  Epigenetic Determinants of Cancer.

Authors:  Stephen B Baylin; Peter A Jones
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-09-01       Impact factor: 10.005

9.  Marker Systems Based on MicroRNA Gene Methylation for the Diagnosis of Stage I-II Breast Cancer.

Authors:  E A Braga; E A Filippova; V I Loginov; I V Pronina; A M Burdennyi; T P Kazubskaya; M V Fridman; D S Khodyrev; N E Kushlinskii
Journal:  Bull Exp Biol Med       Date:  2019-11-28       Impact factor: 0.804

Review 10.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

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  2 in total

Review 1.  Roles of enhancer RNAs in sex hormone-dependent cancers.

Authors:  Lu Zhang; Xiaoxia Ye; Jieyi Luo; Jiayu Chen; Weirang Zheng; Minhua Wu
Journal:  J Cancer Res Clin Oncol       Date:  2022-01-22       Impact factor: 4.553

Review 2.  miRNAs in Cancer (Review of Literature).

Authors:  Beata Smolarz; Adam Durczyński; Hanna Romanowicz; Krzysztof Szyłło; Piotr Hogendorf
Journal:  Int J Mol Sci       Date:  2022-03-03       Impact factor: 5.923

  2 in total

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