Association between High-Risk HPV E6/E7 mRNA Expression and Severity of Cervical Precancerous Lesions

Activity: Talk or presentation typesOral presentation

Description

Genital high-risk human papillomavirus (HR-HPV) infection is the main cause of cervical precancerous lesions and cervical cancer. There is emerging evidence that HPV E6/E7 mRNA detection could predict the detection of high-grade cervical lesions. But still, this method is not included in the diagnostic algorithms. This study aimed to evaluate an association between high-risk HPV E6/E7 mRNA expression and the severity of cervical precancerous lesions.. A study was performed from 2016 to 2020. The study group included patients referred for colposcopy due to abnormal cytological smears. The control group consisted of women who came for a gynaecological check-up. Material from the cervix was tested for high-risk HPV E6/E7 mRNA. Colposcopy was performed in all participants; cervical biopsies with subsequent histological analysis were taken from all study group subjects and in case of visual suspicion for CIN in the control group. Cases of CIN2, CIN3, and cervical cancer were combined and further analyzed as CIN2+. The results were compared between the control group, CIN1, and CIN2+ group.. The study group had 31 CIN1 and 79 CIN2+ cases. The control group consisted of 117 women. Positive HPV E6/E7 mRNA expression was detected in 58.1% of CIN1 cases, 89.9% of CIN2+, and 12.0% of the control group women. The odds ratio for CIN1 compared to the control group was 2.0 (95% CI 1.4-3.0, p<0.0001), and for CIN2+ OR was 5.6 (95% CI 3.4-9.1, p<0.0001).. The present study shows a significant association between high-risk HPV E6/E7 mRNA expression and the severity of cervical lesions. This method could be used as a non-invasive test to predict the severity of the cervical disease.
Period29 Mar 2023
Event titleRSU International Research Conference 2023: Knowledge for Use in Practice
Event typeConference
OrganiserRīga Stradiņš University
LocationRiga, LatviaShow on map
Degree of RecognitionInternational

Field of Science

  • 3.2 Clinical medicine