Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears
BackgroundCervical screening, aimed at detecting precancerous lesions and preventing cancer, is based on cytology and HPV testing. Both methods have limitations, the main ones being the variable diagnostic sensitivity of cytology and the moderate specificity of HPV testing. Various molecular biomark...
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2025-01-01
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author | Anastasia A. Artyukh Mikhail K. Ivanov Mikhail K. Ivanov Sergei E. Titov Sergei E. Titov Victoria V. Dzyubenko Sergey E. Krasilnikov Sergey E. Krasilnikov Anastasia O. Shumeikina Anastasia O. Shumeikina Anastasia O. Shumeikina Nikita A. Afanasev Anastasia V. Malek Sergei A. Glushkov Eduard F. Agletdinov |
author_facet | Anastasia A. Artyukh Mikhail K. Ivanov Mikhail K. Ivanov Sergei E. Titov Sergei E. Titov Victoria V. Dzyubenko Sergey E. Krasilnikov Sergey E. Krasilnikov Anastasia O. Shumeikina Anastasia O. Shumeikina Anastasia O. Shumeikina Nikita A. Afanasev Anastasia V. Malek Sergei A. Glushkov Eduard F. Agletdinov |
author_sort | Anastasia A. Artyukh |
collection | DOAJ |
description | BackgroundCervical screening, aimed at detecting precancerous lesions and preventing cancer, is based on cytology and HPV testing. Both methods have limitations, the main ones being the variable diagnostic sensitivity of cytology and the moderate specificity of HPV testing. Various molecular biomarkers are proposed in recent years to improve cervical cancer management, including a number of mRNAs encoded by human genes involved in carcinogenesis. Many scientific papers have shown that the expression patterns of cellular mRNAs reflect the severity of the lesion, and their analysis in cervical smears may outperform HPV testing in terms of diagnostic specificity. However, such analysis has not yet been implemented in broad clinical practice. Our aim was to devise an assay detecting severe cervical lesions (≥HSIL) via analysis of cellular mRNA expression in cytological smears.MethodsThrough logistic regression analysis of a reverse-transcription quantitative PCR (RT-qPCR) dataset generated from analysis of six mRNAs in 167 cervical smears with various cytological diagnoses, we generated a family of linear classifiers based on paired mRNA concentration ratios. Each classifier outputs a dimensionless decision function (DF) value that increases with lesion severity. Additionally, in the same specimens, the HPV genotyping, viral load assessment, diagnosis of cervicovaginal microbiome imbalance and profiling of some relevant mRNAs and miRNAs were performed by qPCR-based methods.ResultsThe best classifiers were obtained with pairs of mRNAs whose expression changes in opposite directions during lesion progression. With this approach based on a five-mRNA combination (CDKN2A, MAL, TMPRSS4, CRNN, and ECM1), we generated a classifier having ROC AUC 0.935, diagnostic sensitivity 89.7%, and specificity 87.6% for ≥HSIL detection. Based on this classifier, a two-tube RT-qPCR based assay was developed and it confirmed the preliminary characteristics on 120 cervical smears from the test sample. DF values weakly correlated with HPV loads and cervicovaginal microbiome imbalance, thus being independent markers of ≥HSIL risk.ConclusionThus, we propose a high-throughput method for detecting ≥HSIL cervical lesions by RT-qPCR analysis of several cellular mRNAs. The method is suitable for the analysis of cervical cytological smears prepared by a routine method. Further clinical validation is necessary to clarify its clinical potential. |
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spelling | doaj-art-9cca9ab968bf4b0ca6e14ccb4528629d2025-01-07T05:24:11ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011410.3389/fonc.2024.14917371491737Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smearsAnastasia A. Artyukh0Mikhail K. Ivanov1Mikhail K. Ivanov2Sergei E. Titov3Sergei E. Titov4Victoria V. Dzyubenko5Sergey E. Krasilnikov6Sergey E. Krasilnikov7Anastasia O. Shumeikina8Anastasia O. Shumeikina9Anastasia O. Shumeikina10Nikita A. Afanasev11Anastasia V. Malek12Sergei A. Glushkov13Eduard F. Agletdinov14AO Vector-Best, Novosibirsk, RussiaAO Vector-Best, Novosibirsk, RussiaDepartment of the Structure and Function of Chromosomes, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk, RussiaAO Vector-Best, Novosibirsk, RussiaDepartment of the Structure and Function of Chromosomes, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk, RussiaAO Vector-Best, Novosibirsk, RussiaFederal State Budget Scientific Institution "Federal Research Center of Fundamental and Translational Medicine", Novosibirsk, RussiaDepartment of Obstetrics and Gynecology, Novosibirsk State University, Novosibirsk, RussiaFederal State Budget Scientific Institution "Federal Research Center of Fundamental and Translational Medicine", Novosibirsk, RussiaDepartment of Obstetrics and Gynecology, Novosibirsk State University, Novosibirsk, RussiaInstitute of Oncology and Neurosurgery, E. Meshalkin National Medical Research Center, Novosibirsk, RussiaDepartment of Cervical Pathology, Saint-Petersburg City Clinic №17, Saint-Petersburg, RussiaSubcellular Technology Lab, N.N. Petrov National Medical Research Center of Oncology, Saint Petersburg, RussiaAO Vector-Best, Novosibirsk, RussiaAO Vector-Best, Novosibirsk, RussiaBackgroundCervical screening, aimed at detecting precancerous lesions and preventing cancer, is based on cytology and HPV testing. Both methods have limitations, the main ones being the variable diagnostic sensitivity of cytology and the moderate specificity of HPV testing. Various molecular biomarkers are proposed in recent years to improve cervical cancer management, including a number of mRNAs encoded by human genes involved in carcinogenesis. Many scientific papers have shown that the expression patterns of cellular mRNAs reflect the severity of the lesion, and their analysis in cervical smears may outperform HPV testing in terms of diagnostic specificity. However, such analysis has not yet been implemented in broad clinical practice. Our aim was to devise an assay detecting severe cervical lesions (≥HSIL) via analysis of cellular mRNA expression in cytological smears.MethodsThrough logistic regression analysis of a reverse-transcription quantitative PCR (RT-qPCR) dataset generated from analysis of six mRNAs in 167 cervical smears with various cytological diagnoses, we generated a family of linear classifiers based on paired mRNA concentration ratios. Each classifier outputs a dimensionless decision function (DF) value that increases with lesion severity. Additionally, in the same specimens, the HPV genotyping, viral load assessment, diagnosis of cervicovaginal microbiome imbalance and profiling of some relevant mRNAs and miRNAs were performed by qPCR-based methods.ResultsThe best classifiers were obtained with pairs of mRNAs whose expression changes in opposite directions during lesion progression. With this approach based on a five-mRNA combination (CDKN2A, MAL, TMPRSS4, CRNN, and ECM1), we generated a classifier having ROC AUC 0.935, diagnostic sensitivity 89.7%, and specificity 87.6% for ≥HSIL detection. Based on this classifier, a two-tube RT-qPCR based assay was developed and it confirmed the preliminary characteristics on 120 cervical smears from the test sample. DF values weakly correlated with HPV loads and cervicovaginal microbiome imbalance, thus being independent markers of ≥HSIL risk.ConclusionThus, we propose a high-throughput method for detecting ≥HSIL cervical lesions by RT-qPCR analysis of several cellular mRNAs. The method is suitable for the analysis of cervical cytological smears prepared by a routine method. Further clinical validation is necessary to clarify its clinical potential.https://www.frontiersin.org/articles/10.3389/fonc.2024.1491737/fullcervical cancersquamous intraepithelial lesioncervical screeningcytological smearmolecular biomarkercellular mRNA |
spellingShingle | Anastasia A. Artyukh Mikhail K. Ivanov Mikhail K. Ivanov Sergei E. Titov Sergei E. Titov Victoria V. Dzyubenko Sergey E. Krasilnikov Sergey E. Krasilnikov Anastasia O. Shumeikina Anastasia O. Shumeikina Anastasia O. Shumeikina Nikita A. Afanasev Anastasia V. Malek Sergei A. Glushkov Eduard F. Agletdinov Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears Frontiers in Oncology cervical cancer squamous intraepithelial lesion cervical screening cytological smear molecular biomarker cellular mRNA |
title | Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears |
title_full | Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears |
title_fullStr | Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears |
title_full_unstemmed | Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears |
title_short | Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears |
title_sort | detection of cervical precancerous lesions and cancer by small scale rt qpcr analysis of oppositely deregulated mrnas pairs in cytological smears |
topic | cervical cancer squamous intraepithelial lesion cervical screening cytological smear molecular biomarker cellular mRNA |
url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1491737/full |
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