Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels
| Autor: | Alphiya S. Mansurova, Svetlana V. Kuleshova, Sergei A. Glushkov, Anastasia Malek, Tatiana A. Dimitriadi, Mikhail K. Ivanov, Eduard F. Agletdinov, S. E. Titov, Victoria V. Dzyubenko, Anastasia A. Hodkevich, Yury A. Lancuhaj, Sergey E. Krasilnikov, Igor Berlev, Tatyana Prisyazhnaya |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Oncology Adult medicine.medical_specialty Cytodiagnosis Uterine Cervical Neoplasms Pathology and Forensic Medicine Lesion 03 medical and health sciences 0302 clinical medicine CDKN2A Internal medicine microRNA Genotype medicine Biomarkers Tumor Humans RNA Messenger Papillomaviridae Early Detection of Cancer Cervical screening business.industry Papillomavirus Infections Cancer Middle Aged medicine.disease Uterine Cervical Dysplasia MicroRNAs 030104 developmental biology 030220 oncology & carcinogenesis DNA Viral Molecular Medicine Biomarker (medicine) Female medicine.symptom business Viral load Precancerous Conditions |
| Zdroj: | The Journal of molecular diagnostics : JMD. 23(5) |
| ISSN: | 1943-7811 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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