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Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels. / Ivanov, Mikhail K.; Titov, Sergei E.; Dzyubenko, Victoria V. et al.

In: Journal of Molecular Diagnostics, Vol. 23, No. 5, 05.2021, p. 541-554.

Research output: Contribution to journal › Article › peer-review

Harvard

Ivanov, MK, Titov, SE, Dzyubenko, VV, Glushkov, SA, Krasilnikov, SE, Mansurova, AS, Malek, AV, Berlev, IV, Prisyazhnaya, TS, Kuleshova, SV, Hodkevich, AA, Lancuhaj, YA, Dimitriadi, TA & Agletdinov, EF 2021, 'Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels', Journal of Molecular Diagnostics, vol. 23, no. 5, pp. 541-554. https://doi.org/10.1016/j.jmoldx.2021.01.016

APA

Ivanov, M. K., Titov, S. E., Dzyubenko, V. V., Glushkov, S. A., Krasilnikov, S. E., Mansurova, A. S., Malek, A. V., Berlev, I. V., Prisyazhnaya, T. S., Kuleshova, S. V., Hodkevich, A. A., Lancuhaj, Y. A., Dimitriadi, T. A., & Agletdinov, E. F. (2021). Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels. Journal of Molecular Diagnostics, 23(5), 541-554. https://doi.org/10.1016/j.jmoldx.2021.01.016

Vancouver

Ivanov MK, Titov SE, Dzyubenko VV, Glushkov SA, Krasilnikov SE, Mansurova AS et al. Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels. Journal of Molecular Diagnostics. 2021 May;23(5):541-554. doi: 10.1016/j.jmoldx.2021.01.016

Author

Ivanov, Mikhail K. ; Titov, Sergei E. ; Dzyubenko, Victoria V. et al. / Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels. In: Journal of Molecular Diagnostics. 2021 ; Vol. 23, No. 5. pp. 541-554.

BibTeX

@article{70f9fafe5dd04df7a690b6c376f9cb7d,
title = "Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels",
abstract = "Cervical cancer screening is based on cytologic analysis and high-risk human papillomavirus (HR-HPV) testing, each having their drawbacks. Implementation of new biomarker-based methods may improve screening accuracy. Here, the levels of 25 microRNAs (miRNAs, miRs) and 12 mRNAs involved in cervical carcinogenesis in 327 air-dried Papanicolaou-stained cervical smears from patients with cervical precancerous lesions, cancer, or without the disease were estimated by real-time PCR. Using logistic regression analysis, small-scale miRNA-based, mRNA-based, and combined molecular classifiers were built based on paired ratios of miRNA or mRNA concentrations; their ability to detect high-grade cervical lesions and cancer was then compared. Combined mRNA–miRNA classifiers manifested a better combination of sensitivity and specificity than miRNA- and mRNA-based classifiers. The best classifier, combining miR-375, miR-20, miR-96, CDKN2A, TSP4, and ECM1, predicted high-grade lesions with diagnostic sensitivity of 89.0%, specificity of 84.2%, and a receiver-operating characteristic area under the curve of 0.913. Additionally, in a subsample of the same specimens, the levels of MIR124-2 and MAL promoter methylation, HR-HPV genotypes, and viral loads were analyzed. The relative high-grade lesion risk estimated by the classifier correlated with the frequency of MAL and MIR124-2 methylation but not with the HR-HPV genotype or viral load. The results support the feasibility of cellular biomarker–based methods for cervical screening and patient management.",
author = "Ivanov, {Mikhail K.} and Titov, {Sergei E.} and Dzyubenko, {Victoria V.} and Glushkov, {Sergei A.} and Krasilnikov, {Sergey E.} and Mansurova, {Alphiya S.} and Malek, {Anastasia V.} and Berlev, {Igor V.} and Prisyazhnaya, {Tatyana S.} and Kuleshova, {Svetlana V.} and Hodkevich, {Anastasia A.} and Lancuhaj, {Yury A.} and Dimitriadi, {Tatiana A.} and Agletdinov, {Eduard F.}",
note = "Funding Information: Supported by the Russian Science Foundation (project no. 20-14-00074 ). Publisher Copyright: {\textcopyright} 2021 Association for Molecular Pathology and American Society for Investigative Pathology Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = may,
doi = "10.1016/j.jmoldx.2021.01.016",
language = "English",
volume = "23",
pages = "541--554",
journal = "Journal of Molecular Diagnostics",
issn = "1525-1578",
publisher = "Elsevier Science Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels

AU - Ivanov, Mikhail K.

AU - Titov, Sergei E.

AU - Dzyubenko, Victoria V.

AU - Glushkov, Sergei A.

AU - Krasilnikov, Sergey E.

AU - Mansurova, Alphiya S.

AU - Malek, Anastasia V.

AU - Berlev, Igor V.

AU - Prisyazhnaya, Tatyana S.

AU - Kuleshova, Svetlana V.

AU - Hodkevich, Anastasia A.

AU - Lancuhaj, Yury A.

AU - Dimitriadi, Tatiana A.

AU - Agletdinov, Eduard F.

N1 - Funding Information: Supported by the Russian Science Foundation (project no. 20-14-00074 ). Publisher Copyright: © 2021 Association for Molecular Pathology and American Society for Investigative Pathology Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/5

Y1 - 2021/5

N2 - Cervical cancer screening is based on cytologic analysis and high-risk human papillomavirus (HR-HPV) testing, each having their drawbacks. Implementation of new biomarker-based methods may improve screening accuracy. Here, the levels of 25 microRNAs (miRNAs, miRs) and 12 mRNAs involved in cervical carcinogenesis in 327 air-dried Papanicolaou-stained cervical smears from patients with cervical precancerous lesions, cancer, or without the disease were estimated by real-time PCR. Using logistic regression analysis, small-scale miRNA-based, mRNA-based, and combined molecular classifiers were built based on paired ratios of miRNA or mRNA concentrations; their ability to detect high-grade cervical lesions and cancer was then compared. Combined mRNA–miRNA classifiers manifested a better combination of sensitivity and specificity than miRNA- and mRNA-based classifiers. The best classifier, combining miR-375, miR-20, miR-96, CDKN2A, TSP4, and ECM1, predicted high-grade lesions with diagnostic sensitivity of 89.0%, specificity of 84.2%, and a receiver-operating characteristic area under the curve of 0.913. Additionally, in a subsample of the same specimens, the levels of MIR124-2 and MAL promoter methylation, HR-HPV genotypes, and viral loads were analyzed. The relative high-grade lesion risk estimated by the classifier correlated with the frequency of MAL and MIR124-2 methylation but not with the HR-HPV genotype or viral load. The results support the feasibility of cellular biomarker–based methods for cervical screening and patient management.

AB - Cervical cancer screening is based on cytologic analysis and high-risk human papillomavirus (HR-HPV) testing, each having their drawbacks. Implementation of new biomarker-based methods may improve screening accuracy. Here, the levels of 25 microRNAs (miRNAs, miRs) and 12 mRNAs involved in cervical carcinogenesis in 327 air-dried Papanicolaou-stained cervical smears from patients with cervical precancerous lesions, cancer, or without the disease were estimated by real-time PCR. Using logistic regression analysis, small-scale miRNA-based, mRNA-based, and combined molecular classifiers were built based on paired ratios of miRNA or mRNA concentrations; their ability to detect high-grade cervical lesions and cancer was then compared. Combined mRNA–miRNA classifiers manifested a better combination of sensitivity and specificity than miRNA- and mRNA-based classifiers. The best classifier, combining miR-375, miR-20, miR-96, CDKN2A, TSP4, and ECM1, predicted high-grade lesions with diagnostic sensitivity of 89.0%, specificity of 84.2%, and a receiver-operating characteristic area under the curve of 0.913. Additionally, in a subsample of the same specimens, the levels of MIR124-2 and MAL promoter methylation, HR-HPV genotypes, and viral loads were analyzed. The relative high-grade lesion risk estimated by the classifier correlated with the frequency of MAL and MIR124-2 methylation but not with the HR-HPV genotype or viral load. The results support the feasibility of cellular biomarker–based methods for cervical screening and patient management.

UR - http://www.scopus.com/inward/record.url?scp=85104650166&partnerID=8YFLogxK

U2 - 10.1016/j.jmoldx.2021.01.016

DO - 10.1016/j.jmoldx.2021.01.016

M3 - Article

C2 - 33662584

AN - SCOPUS:85104650166

VL - 23

SP - 541

EP - 554

JO - Journal of Molecular Diagnostics

JF - Journal of Molecular Diagnostics

SN - 1525-1578

IS - 5

ER -

ID: 28505931