Aim: To establish a relationship between the clinical forms of cervical papillomavirus infection and the specific characteristics of high-risk human papillomavirus (HPV) types.
The study included 1063 patients aged 16 to 71 years (Me = 33; IQR: 29–38) with active papillomavirus infection and its clinical forms. The patients were stratified into groups based on disease clinical forms during active HPV infection: carriers, mild cervical intraepithelial neoplasia, moderate cervical intraepithelial neoplasia, severe cervical intraepithelial neoplasia, carcinoma in situ, and invasive cervical cancer. Diagnostics was performed using real-time polymerase chain reaction (PCR) with HPV typing (types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68). The results demonstrated that viruses from the alpha-phylogenetic branch are responsible for developing clinical forms of HPV infection. It was found that severe forms of infection, including cervical cancer, was mainly linked to A9 family (HPV16, HPV31, HPV58) viruses, whereas initial disease stages – to A5 and A6 families (HPV51 and HPV66). A particularly significant observation is the transition from A5, A6, and A7 family HPV viruses with relation to HPV16, to the A9 family showing highly related to HPV16. This observation underscores the high significance of HPV16 monoinfection in cervical cancer within the context of the replication theory for HPV16-like viruses. Viral load exhibits a wave-like pattern depending on the clinical form and HPV family, indicating the dynamic nature of the infection process and the potential changes in viral load based on the disease stage and virus type. The study highlights the importance of identifying a specific HPV type in mono- or polyinfection to assess disease clinical form. This can provide significant aid to clinicians for assessing severity of the infection and devising the appropriate management strategy for patients. In conclusion, our findings emphasize a need to take into consideration a HPV type in diagnostics and treatment of cervical papillomavirus infection. This approach will enhance prognostic accuracy and effectiveness of therapeutic interventions aimed at preventing disease progression and cervical cancer development.