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Research Article
2026
:23;
30
doi:
10.25259/Cytojournal_153_2025

Prevalence and clinical correlates of human papillomavirus infection: A study of 7,601 women attending a tertiary referral center in Greece

Department of Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Department of Obstetrics & Gynecology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Department of Cytopathology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Author image
Corresponding author: Nikiforos Stamoulis, Department of Medicine, National and Kapodistrian University of Athens, Athens, Greece. stam.nikiforos@gmail.com
Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Stamoulis N, Lazari EC, Theofanakis C, Lazaris AC, Panagopoulos P, Thomopoulou GE. Prevalence and clinical correlates of human papillomavirus infection: A study of 7,601 women attending a tertiary referral center in Greece. CytoJournal. 2026;23:30. doi: 10.25259/Cytojournal_153_2025

Abstract

Objectives:

This study aimed to analyze the prevalence, genotype distribution, and infection burden of human papillomavirus (HPV) as well as their association with cytological findings, among 7,601 women attending a tertiary referral center in Athens, Greece.

Materials and Methods:

This retrospective, single-center cross-sectional study analyzed cervical samples from women attending a specific institution (2019–2024) that underwent polymerase chain reaction-based HPV genotyping, while cytological findings were classified according to the Bethesda system. Statistical analyses assessed the relationships between HPV types, infection burden, cytological outcomes, and age groups.

Results:

Overall HPV prevalence was 31%, including 18.4% single and 12.6% multiple infections. The most frequent HPV genotypes detected were HPV-42, HPV-51, HPV-16, HPV-53, and HPV-54. Multiple infections were more common in younger women, while single infections predominated with increasing age. Cytological results showed 82.3% normal, 15.9% low-grade squamous intraepithelial lesions (LSILs), 1.3% atypical squamous cells of undetermined significance (ASC-US), and 0.5% high-grade squamous intraepithelial lesions (HSILs). HPV types 16, 18, 31, 33, 42, and 51 were strongly associated with LSIL and/or HSIL. Women with multiple HPV infections had higher odds of ASC-US and LSIL compared to those with single infections; however, the opposite pattern was observed for HSIL. Age was inversely associated with ASC-US and LSIL but not with HSIL.

Conclusion:

These findings highlight the importance of HPV genotype and infection burden in cervical disease risk in this patient cohort and underscore the need for targeted screening and vaccination strategies tailored to the local epidemiology.

Keywords

Cervical cancer screening
Cytological abnormalities
Genotype distribution
Human papillomavirus
Multiple infections

INTRODUCTION

Cervical cancer remains one of the most common malignancies among women globally, particularly in low- and middle-income countries, with an estimated 600,000 new cases and over 340,000 deaths annually.[1] Human papillomavirus (HPV) infection constitutes a critical etiological factor in the pathogenesis of cervical cancer and other anogenital neoplasms.[2] Despite the global implementation of preventive strategies, such as HPV vaccination and cytological screening programs, significant challenges remain in optimizing early detection, risk stratification, and long-term clinical management.[3] Evidently, the heterogeneity in HPV type distribution, infection patterns across age groups, and the corresponding cytological findings necessitate tailored approaches to public health interventions. While HPV vaccination programs have substantially reduced the incidence of high-risk infections and precancerous lesions in many countries,[4] ongoing disparities in vaccine uptake and HPV type coverage persist and challenge the effectiveness of current public health strategies.

In the Greek landscape, the national HPV vaccination program was introduced in 2008[5] and, nowadays, includes the administration of the 9-valent vaccine. However, even though HPV vaccination is officially included in the Greek National Immunization Program and offered free of charge, coverage among adolescent girls remains suboptimal,[5] particularly in rural regions and underserved populations. Cervical cancer screening is primarily opportunistic, rather than organized, leading to inconsistencies in participation and follow-up. These gaps highlight the importance of local epidemiological data to guide national prevention strategies.

Previous studies have already provided valuable data on HPV genotype distribution among the Greek population,[6,7] but to-date, large-scale, epidemiological studies on HPV type prevalence and the associated cytological abnormalities across clinically meaningful and representative age cohorts remain limited. Addressing this gap, the present study undertakes a retrospective cross-sectional analysis of 7,601 cases involving concurrent Pap smear and HPV DNA testing, collected over 6 years (2019–2024) at Attikon University Hospital. Therefore, the primary objective of this study is to analyze the prevalence, genotype distribution, and infection burden of HPV, as well as their association with cytological findings, among this specific cohort.

MATERIALS AND METHODS

This retrospective study analyzed ~9,000 medical records collected between 2019–2024 at the Diagnostic Cytology Laboratory, Medical School of the National and Kapodistrian University of Athens (NKUA), located at Attikon University General Hospital, Greece. The dataset was obtained from the Diagnostic Cytology Laboratory of the hospital. All clinical encounters were chronologically sorted, and only the earliest entry per individual was retained for our study (n = 8,061). While excluding follow-up data may under-represent disease progression, the study objective was to assess the distribution of HPV genotypes and cytological outcomes at the point of first contact. Before analysis, the research team de-identified the dataset by removing patient names, dates of examination, sample codes, dates of birth, names of the clinicians collecting the samples, names of the cytologists examining the samples, and all diagnostic dates. All data were anonymized in accordance with institutional data protection protocols to safeguard patient privacy. The final dataset included patient age, HPV genotyping results, and corresponding cytological diagnoses. Due to the retrospective nature of the study, data on various confounding factors, such as HPV vaccination status, detailed sexual behavior history, smoking status, and socioeconomic status, were not consistently or reliably available in the medical records and could not be retrieved for statistical analysis. The detailed process of patient record identification, screening, and exclusion, including the number and specific reasons for all exclusions, has been outlined in Figure 1. The exclusion criteria specifically targeted diagnoses unrelated to cervical intraepithelial lesions (e.g., “inflammation,” “cervical atrophy,” or inadequate samples) to ensure that the analytical focus remained strictly on cytology outcomes relevant to the Bethesda classification system (atypical squamous cells of undetermined significance [ASC-US], low-grade squamous intraepithelial lesion [LSIL], high-grade squamous intraepithelial lesion [HSIL]) and to minimize confounding from benign or non-HPV-related morphological changes. The final analytical sample consisted of n = 7,601 women after applying the predefined inclusion and exclusion criteria.

Flowchart illustrating the selection process of study participants. The chart details the initial identification of medical records, the exclusion stages with corresponding numbers and reasons, and the final analytical sample size (n = 7,601). This figure was constructed using SmartArt Graphics functionality in Microsoft Word for Microsoft 365 (Microsoft Corporation, Redmond, WA, USA).
Figure 1: Flowchart illustrating the selection process of study participants. The chart details the initial identification of medical records, the exclusion stages with corresponding numbers and reasons, and the final analytical sample size (n = 7,601). This figure was constructed using SmartArt Graphics functionality in Microsoft Word for Microsoft 365 (Microsoft Corporation, Redmond, WA, USA).

HPV testing and cytological evaluation

HPV testing was performed using real-time polymerase chain reaction (PCR)-based platforms, including the Hybribio and Cobas assays, as well as HPV DNA Array technology, providing precise molecular profiles of HPV infection. While no formal cross-validation study was conducted within the scope of this retrospective analysis, all assays used were commercially available, Conformité Européenne - in vitro Diagnostic certified (or equivalent clinical approval), and performed according to manufacturer specifications and established laboratory standard operating procedures. The laboratory maintains rigorous internal quality control, and all platforms are routinely subject to external quality assessment programs to ensure the reliability and consistency of HPV genotyping results across different technologies. In this study, “multiple infections” were defined as the simultaneous detection of two or more distinct HPV genotypes in a single cervical sample from the same patient. Cervical cytology had been evaluated by board-certified cytologists with >10 years of diagnostic experience. All specimens had been assessed using the Bethesda System, a standardized classification framework for reporting cervical cytology results.[8] Cytological outcomes were categorized into four groups: Negative for intraepithelial lesion or malignancy (NILM) or “Normal”, ASC-US, LSIL, and HSIL.

Ethical considerations

This study was approved by the Bioethics and Ethics Committee of the Medical School, National and Kapodistrian University of Athens (approval number 1062). The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The requirement for informed consent was waived due to the retrospective design of the study and the full anonymization of all patient data.

Statistical analysis

All statistical analyses were performed using Jamovi (Version 2.5; The Jamovi project, 2024), which is based on the R statistical language (Version 4.3; R Core Team, 2023). Statistical significance was set at P <0.05. Chi-square tests of independence were used to assess the relationship between categorical variables, specifically the distribution of cytologic diagnoses across age groups (n = 7,601) and the distribution of single vs. multiple HPV infections across age groups among HPV-positive women (n = 2,352). Furthermore, two multinomial logistic regression models were developed to explore associations with cytologic outcomes (Normal, ASC-US, LSIL, HSIL). The first model included age category and the presence of individual HPV types (16, 18, 31, 33, 42, 51, 73) as predictors of cytologic outcomes among HPV-positive women, with “Normal” as the reference category. The second model assessed the impact of HPV infection burden (none, single, or multiple infections), using “No HPV infection” and “Normal cytology” as reference categories. An a priori sample size calculation was not performed, as this was a retrospective, cross-sectional study utilizing all available patient records over 6 years (2019–2024). The final analytical sample size of n = 7,601 is considered adequate to detect meaningful differences in prevalence and associations between groups, ensuring high statistical power for the key outcomes due to the large patient volume from the tertiary referral center.

RESULTS

Description of the study cohort and overall HPV prevalence

The mean age in our sample was 42.2 years (SD = 13.2), with an age range of 14-94 years. Participants were categorized into five age groups [Figure 2] using a data-driven approach to ensure adequate sample sizes within each group, while also reflecting meaningful life stages relevant to HPV exposure and cervical cancer screening practices.[9]

Number of study participants categorized by age group. Participants were grouped into five age categories: ≤24 (n = 656), 25–34 (n = 1764), 35–44 (n = 2073), 45–54 (n = 1681), and ≥55 years (n = 1427). A total of 7,601 women were included in the analysis.
Figure 2: Number of study participants categorized by age group. Participants were grouped into five age categories: ≤24 (n = 656), 25–34 (n = 1764), 35–44 (n = 2073), 45–54 (n = 1681), and ≥55 years (n = 1427). A total of 7,601 women were included in the analysis.

Cytological findings were predominantly normal (NILM), observed in 6,254 individuals (82.3%). Abnormal findings were LSIL in 15.9% (n = 1,210), ASC-US in 1.3% (n = 101), and HSIL in 0.5% (n = 36).

Most women (69.0%) had no detectable HPV infection. In contrast, 18.4% harbored a single HPV type, and 12.6% were infected with multiple types [Table 1].

Table 1: Frequencies of HPV infection group.
HPV infection group Counts % of Total Cumulative %
None 5249 69 69
Single 1395 18.4 87.4
Multiple 957 12.6 100.0

The Cumulative % represents the sequential sum of the percentage of participants belonging to the current HPV infection group or any preceding infection group (None/Single/Multiple)

In terms of risk classification, 10.8% of participants (n = 822) were infected with low-risk HPV types, and 20.1% (n = 1,530) tested positive for high-risk HPV (hrHPV) types [Table 2].

Table 2: Frequencies of HPV risk group.
HPV risk group Count % of Total Cumulative %
None 5249 69.1 69.1
Low-risk HPV genotypes 822 10.8 79.9
High-risk HPV genotypes 1530 20.1 100.0

Low-risk HPV genotypes 822 10.8 79.9 High-risk HPV genotypes 1530 20.1 100.0 The “HPV Risk Group” categorization (Low-Risk HPV Genotypes and High-Risk HPV Genotypes) is based solely on the oncogenic potential of the detected HPV genotype (s) and is independent of the concurrent cytological diagnosis (Normal, ASC-US, LSIL, HSIL). ASC-US: Atypical squamous cells of undetermined significance, LSILs: Low-grade squamous intraepithelial lesions, HSILs: High-grade squamous intraepithelial lesions, HPV: Human papillomavirus

The five most frequently detected HPV genotypes were HPV-42 (4.3%), HPV-51 (3.8%), HPV-16 (3.6%), HPV-53 (3.6%), and HPV-54 (3.5%). The full distribution of HPV genotypes detected in the study population is visualized in Figure 3.

Number of positive detections for each human papillomavirus (HPV) genotype among the study participants. The bar chart shows the frequency of different HPV genotypes detected in the collected samples. HPV genotypes are shown on the X-axis, and the number of positive detections is on the Y-axis.
Figure 3: Number of positive detections for each human papillomavirus (HPV) genotype among the study participants. The bar chart shows the frequency of different HPV genotypes detected in the collected samples. HPV genotypes are shown on the X-axis, and the number of positive detections is on the Y-axis.

Distribution of single vs. multiple HPV infections across age groups

Among HPV-positive women (n = 2,352), the distribution of single vs. multiple HPV infections varied significantly by age group (P <0.001). The proportion of multiple infections decreased steadily with age, from 52.9% in the ≤24 age group to 33.0% among women aged ≥55. Conversely, the prevalence of single-type infections increased from 47.1% in the youngest group to 67.0% in the oldest. The numerical distribution of infection types across age groups has been shown in Figure 4.

Percentage of participants within each age category by human papillomavirus (HPV) infection group. The bar chart compares the proportion of women with single-type HPV infections vs. multiple-type HPV infections across five age groups (≤24, 25–34, 35–44, 45–54, and ≥55 years). Colors correspond to age categories as shown in the legend. Numerical counts for each age category: ≤24 (single/multiple: n = 153/172), 25–34 (single/multiple: n = 432/335), 35–44 (single/multiple: n = 357/200), 45–54 (single/multiple: n = 266/158), and ≥55 (single/multiple: n = 187/92).
Figure 4: Percentage of participants within each age category by human papillomavirus (HPV) infection group. The bar chart compares the proportion of women with single-type HPV infections vs. multiple-type HPV infections across five age groups (≤24, 25–34, 35–44, 45–54, and ≥55 years). Colors correspond to age categories as shown in the legend. Numerical counts for each age category: ≤24 (single/multiple: n = 153/172), 25–34 (single/multiple: n = 432/335), 35–44 (single/multiple: n = 357/200), 45–54 (single/multiple: n = 266/158), and ≥55 (single/multiple: n = 187/92).

A Chi-square test of independence confirmed that the association between age group and HPV infection burden (single vs. multiple infections) was statistically significant (χ2 (4) = 37.2, P <0.001), with a small effect size (Cramér’s V = 0.126), indicating an age-related shift in the pattern of HPV coinfection.

Age-stratified distribution of cytological outcomes

Among the 7,601 women included in the analysis, cytologic outcomes varied significantly by age group (P <0.001). Normal cytology became more prevalent with advancing age, increasing from 70.0% in women aged ≤24 years to 91.2% among those aged ≥55. In contrast, LSILs were more common in younger women, with rates of 27.0% in the ≤24 group and 22.6% among women aged 25–34, followed by a steady decline in older cohorts. The prevalence of ASC-US and HSILs remained consistently low across all age categories, each accounting for fewer than 2.5% of cases in any group [Table 3].

A Chi-square test of independence revealed a statistically significant association between age group and cytologic diagnosis, χ2 (12, n = 7601) = 227.00, P <0.001. Although the effect size was small (Cramér’s V = 0.0997), the large sample size suggests that the observed differences are not due to chance. The distribution of diagnoses varied across age categories, with normal cytology being most prevalent in all age groups, and LSIL particularly common among younger women (≤24 and 25-34 years). These findings highlight subtle but meaningful, age-related trends in cytologic outcomes due to the large sample size.

Table 3: Cytology diagnosis by age category.
Cytology diagnosis ≤24 25-34 35-44 45-54 ≥55 Total
Normal (n) 459 1329 1720 1445 1301 6254
Normal (%) 70.0 75.3 83.0 86.0 91.2 82.3
ASC-US (n) 14 29 29 23 6 101
ASC-US (%) 2.1 1.6 1.4 1.4 0.4 1.3
LSIL (n) 177 398 315 207 113 1210
LSIL (%) 27.0 22.6 15.2 12.3 7.9 15.9
HSIL (n) 6 8 9 6 7 36
HSIL (%) 0.9 0.5 0.4 0.4 0.5 0.5
Total (n) 656 1764 2073 1681 1427 7601
Total (%) 100.0 100.0 100.0 100.0 100.0 100.0

ASC-US: Atypical squamous cells of undetermined significance, LSIL: Low-grade squamous intraepithelial lesion, HSIL: High-grade squamous intraepithelial lesion, n: Number of participants

Association of specific HPV types and age with cytological outcomes

To assess whether age and specific HPV genotypes were associated with cytologic outcomes in HPV-positive women, a multinomial logistic regression model was used, with cytological diagnosis (normal, ASC-US, LSIL, and HSIL) as the dependent variable. Predictors included age category and seven individual HPV types (16, 18, 31, 33, 42, 51, and 73). These genotypes were selected based on their established epidemiological classification;[10] types 16, 18, 31, 33, 51, and 73 were included as high-risk or potentially high-risk representatives, while HPV 42 was selected as a representative of the low-risk spectrum[10] to provide a comparative baseline for our model. Several HPV types showed significant associations with abnormal cytologic findings (P <0.05). The overall model was statistically significant (likelihood ratio test: χ2 = 194, df = 33, P <0.001), suggesting that the included predictors successfully differentiated between cytologic outcome groups.

Comparison of ASC-US vs. normal cytology

Most HPV genotypes were not significantly associated with ASC-US. HPV 16 (odds ratio [OR] = 0.83, 95% confidence interval [CI]: 0.32-2.13, P = 0.698), HPV 18 (OR = 1.17, 95% CI: 0.15-8.97, P = 0.877), HPV 31 (OR = 1.52, 95% CI: 0.58-3.94, P = 0.392), HPV 33 (OR = 1.19, 95% CI: 0.15–9.11, P = 0.868), HPV 42 (OR = 0.83, 95% CI: 0.35–1.98, P = 0.673), and HPV 73 (OR ≈ 0, P = 0.968) were not significantly associated. However, HPV 51 was significantly associated with increased odds of ASC-US (OR = 2.22, 95% CI: 1.05-4.68, P = 0.037).

Age was also a relevant factor. Compared to women ≤24 years, those aged ≥55 had significantly lower odds of ASC-US (OR = 0.23, 95% CI: 0.07-0.71, P = 0.011). Other age groups had non-significant but progressively lower odds.

Comparison of LSIL vs. normal cytology

Several HPV types were significantly associated with LSIL. Increased odds were observed for HPV 16 (OR = 1.92, 95% CI: 1.45-2.54, P <0.001), HPV 18 (OR = 2.31, 95% CI: 1.22-4.39, P = 0.010), HPV 31 (OR = 2.10, 95% CI: 1.48-2.99, P <0.001), HPV 33 (OR = 2.10, 95% CI: 1.06-4.15, P = 0.033), HPV 42 (OR = 1.56, 95% CI: 1.18-2.05, P = 0.002), and HPV 51 (OR = 1.96, 95% CI: 1.42-2.72, P = 0.049). HPV 73 (OR = 0.93, 95% CI: 0.42-2.10, P = 0.867) did not show a significant association with LSIL.

Age was inversely associated with LSIL. Compared to the reference group (≤24), significantly lower odds were observed for women aged 35–44 (OR = 0.60, P <0.001), 45-54 (OR = 0.40, P <0.001), and ≥55 (OR = 0.25, P <0.001). Women aged 25-34 showed a non-significant reduction (OR = 0.80, P = 0.114).

Comparison of HSIL vs. normal cytology

Strong associations with HSIL were found for HPV 16 (OR = 9.05, 95% CI: 4.23-19.48, P <0.001), HPV 18 (OR = 7.93, 95% CI: 1.67-37.57, P = 0.009), and HPV 33 (OR = 8.23, 95% CI: 1.78-38.98, P = 0.008). Regarding HPV 42 and HPV 73, although statistical significance was initially suggested by our multinomial logistic regression model, no reliable OR could be calculated due to the absence of HSIL cases among carriers of these genotypes in our cohort. Consequently, these types were not associated with high-grade lesions in this study. HPV 51 (OR = 2.93, P = 0.060) showed a marginal association with HSIL but did not reach significance. The remaining genotype included in the model (HPV 31) did not show a statistically significant association with HSIL (OR = 5.007, P = 0.142), indicating its limited singular contribution to high-grade lesions in this cohort.

No age group had a significant association with HSIL. While the odds were lower across all older groups, none reached statistical significance compared to those ≤24 years.

Taken together, among HPV-positive women, several genotypes, especially HPV 16, 18, 31, 33, and 51, were significantly associated with increased odds of LSIL and/or HSIL. Age was inversely associated with ASC-US and LSIL, particularly in older women, but not with HSIL. These findings reinforce the clinical relevance of genotype-specific risk profiling and age-stratified screening approaches.

Impact of HPV infection burden (none/single/multiple) on cytological outcomes

A multinomial logistic regression model was performed to investigate the association between HPV infection burden, categorized as none, single, or multiple infections, and cytologic diagnosis (Normal, ASC-US, LSIL, HSIL). The model used “No HPV infection” as the reference category and “Normal cytology” as the reference outcome. The overall model was statistically significant, χ2 (6) = 883, P <0.001, indicating that HPV infection status was a strong predictor of cytological abnormalities.

Compared to HPV-negative individuals, women with a single HPV infection had 5.38 times the odds of an ASC-US diagnosis (P <0.001), while those with multiple infections had even greater odds (OR = 8.12, P <0.001), suggesting a burden–response relationship between infection burden and the risk of cytologic atypia.

A similar pattern emerged for LSIL. Women with a single HPV type had an OR of 4.13 for LSIL diagnosis (P <0.001), whereas those with multiple infections had an OR of 8.31 (P <0.001), again indicating that multiple concurrent HPV types significantly elevate the likelihood of low-grade cervical lesions.

In contrast, the magnitude of association for HSIL was substantially greater. Compared to HPV-negative women, those with a single HPV infection had 59.33 times the odds of an HSIL diagnosis (P <0.001), while women with multiple infections had 46.05 times the odds (P <0.001). The slightly higher odds among single infections may reflect the predominance of highly oncogenic HPV types, such as HPV 16 or 18, among women with a single infection.

DISCUSSION

In the present study, we analyzed HPV genotyping and cytological results from a sample of 7,601 women across a wide age range. Our findings reinforce established epidemiological patterns and support the view that age should be a central consideration in cervical cancer screening strategies.

The age distribution in our sample reflects the standard segmentation used in screening programs, with the lowest representation observed for the age group of women under 24. This is consistent with international guidelines, such as those issued by the World Health Organization (WHO),[11] which recommend initiating screening at age 21. To date, evidence on how HPV vaccination influences the screening behavior of younger women is contradictory. On the one hand, HPV vaccination among younger women may contribute to a sense of security, potentially reducing the likelihood of consistent annual screening.[12] On the other hand, receiving the HPV vaccine usually requires contact with healthcare providers, which offers an opportunity to raise awareness and educate about the importance of consistent annual cervical screening. Doctors and medical staff often do, and should, emphasize the insufficiency of existing vaccines against all oncogenic HPV types, reaffirming the need for yearly routine Pap or HPV DNA testing among the vaccinated women, too. This way, vaccination may signal an overall behavioral shift toward healthy and preventive behaviors, particularly among individuals with regular and easy access to health care,[13] thus making their screening routine more consistent. Regardless, the underrepresentation of younger women in our sample highlights the importance of individual risk assessment and personal medical history in tailoring screening protocols, both to reduce the risk of overdiagnosis in low-risk individuals[14] and to ensure timely diagnosis and intervention for those at higher risk.

The majority of participants in our study (82.3%) presented with normal cytology results, a finding that aligns with large-scale epidemiological studies.[15] Among all participants, LSIL was the most frequently observed abnormality (15.9%), followed by ASC-US (1.3%) and HSIL (0.5%). These patterns reflect the natural history of HPV infection and the known pathophysiological progression from low-grade lesions to high-grade dysplasia and, eventually, carcinogenesis.[16] The substantial difference in the number of women with low- vs. high-grade dysplasia further confirms the well-documented potential for spontaneous regression of precancerous cervical lesions.[17]

Among the women studied, 69.1% tested negative for HPV, a prevalence rate that closely mirrors those reported in previous population-based studies conducted in Greece using PCR methods, with overall HPV prevalence rates ranging from 22-33%.[18,19] Of all women assessed in our study, 18.4% were infected with a single HPV type, while 12.6% harbored multiple genotypes. Low-risk HPV genotypes were detected in 10.8% of participants, while hrHPV types were found in 20.1%. These results are higher than those reported in a large U.S. post-hoc study,[20] which found a 10.1% prevalence of hrHPV among over 40,000 women. However, direct comparisons should be made cautiously, as our study had a smaller sample size and included women aged <25 years, an age group excluded from the U.S. study. The inclusion of younger women, among whom hrHPV prevalence is known to be higher, likely contributed to the increased overall prevalence in our sample. Several other large-scale studies report findings that align more closely with ours. A population-based study in Germany found an overall hrHPV prevalence of 23% in women aged 20-30 years.[21] A Greek study reported a hrHPV prevalence of approximately 25.7% among women aged 16-65, further supporting the representativeness of our findings in a regional context.[22] A large meta-analysis conducted in subSaharan Africa, encompassing 27 studies across 19 countries, reported a pooled hrHPV prevalence of 34%[23] with significant variability in hrHPV rates, ranging from 10.7% to 97.2%, depending on several local epidemiological factors and health system differences. This heterogeneity in hrHPV prevalence globally, driven by differences in population structure, sampling strategies, and access to health services, necessitates the interpretation of prevalence rates within their specific epidemiological and healthcare systems.

The most frequently identified HPV genotypes in our study were HPV-42 (4.3%), HPV-51 (3.8%), HPV-16 (3.6%), HPV-53 (3.6%), and HPV-54 (3.5%). Both the high prevalence of HPV-16 and its strong oncogenic potential align with its established role as the leading cause of cervical cancer globally.[24] However, the absence of HPV-18 among the five most common types, alongside the notable prevalence of HPV-42 and other less frequently documented types,[25] emphasizes the importance of regionally tailored vaccination strategies. While current vaccines cover a significant number of oncogenic HPV types, shifts in type distribution remain a possibility and should not be underestimated. Such shifts refer to changes in the prevalence of HPV genotypes over time, potentially driven by vaccine-induced selective pressure. As vaccine-targeted types decline, non-vaccine types may become more common by potentially gaining a competitive advantage, which could impact the overall effectiveness of current vaccines unless they are periodically updated to reflect the circulating genotypes.[26,27]

Another important finding from our study is that the presence of multiple infections is more frequently observed in younger individuals; a predominance that can be attributed to a combination of behavioral, biological, and immunological factors. At first, lifestyle behaviors, such as the use of oral contraceptives and tobacco products, which are more prevalent in younger populations, have been associated with increased HPV acquisition and reduced viral clearance, thereby facilitating the persistence of multiple infections.[28] One proposed mechanism for this association is the adverse impact of both smoking and oral contraceptive use on serum folate and vitamin B12 levels, which are key nutrients in immune function and DNA methylation. Their deficiency has been linked to impaired immune surveillance and increased risk of viral persistence and progression.[26] Moreover, sexual behavior, which varies by age group, constitutes another primary factor. Younger women are more likely to contract HPV, either as single or multiple-type infections, due to a higher frequency of partner change[29] and higher levels of sexual activity, potentially exposing themselves to a broader spectrum of HPV genotypes within a short timeframe.[30] This behavioral pattern is more likely to result in concurrent infections before immunological clearance can occur. Finally, increased susceptibility to HPV infections has also been attributed to physiological characteristics, like cervical ectopy, a condition commonly observed in adolescents and younger women of reproductive age, in which the columnar epithelium is present on the ectocervix, therefore possibly exposing women to a higher risk of multiple HPV types acquisition.[31] However, studies have yielded conflicting results,[32] as some research supports a link between ectopy and heightened vulnerability to HPV infection due to increased cellular turnover and exposure of columnar epithelium, but other studies have not found a consistent or statistically significant correlation, suggesting that ectopy alone may not be a definitive risk factor. Therefore, further research is needed to clarify the role of cervical ectopy in HPV susceptibility, particularly in relation to co-infection dynamics and age-specific biological vulnerability.

In addition, our study also revealed significant differences in the pathogenesis of cytological abnormalities (ASC-US, LSIL, and HSIL) in relation to various HPV genotypes. Most HPV genotypes (e.g., HPV 16, 18, 31, 33, 42, and 73) did not show a significant association with ASC-US, aligning with existing literature that suggests this diagnosis often reflects transient infections or non-HPV-related inflammatory processes.[33] The only statistically significant and clinically concerning association was observed with HPV 51, a genotype known to be involved in both early lesions and invasive cancer.[34] Notably, current vaccines do not directly target HPV 51,[35] highlighting a crucial gap in vaccine coverage. This finding is epidemiologically significant, as it underscores the sustained risk from non-9vHPV types and raises questions about potential genotype replacement. The significant oncogenic contribution of HPV 51 in this cohort strongly advocates for ongoing, targeted surveillance of nonvaccine-covered hrHPV genotypes and supports the future development or implementation of broader-spectrum vaccines, tailored to regional epidemiological profiles. HPV genotypes 16, 18, 31, 33, 42, and 51 demonstrated strong and statistically significant associations with LSIL, reinforcing the notion that not only high-risk but also certain low-risk types (e.g., HPV-42) can contribute to early dysplastic changes. These genotypes can integrate into the host genome, leading to the expression of oncogenes (E6/E7) and suppression of tumor suppressor genes such as p53 and Rb.[36] The strongest findings emerged for HSIL, with HPV types 16, 18, and 33 showing the highest statistical associations, confirming their well-established high oncogenic potential. HPV 16, in particular, consistently appears as the most prevalent and carcinogenic genotype globally.[24]

We also found that age appeared to be associated with lesion severity. A marked reduction in ASC-US prevalence was observed with increasing age, particularly in women ≥55 years, supporting previous findings that associate age with a decline in transient, low-grade HPV infections due to immune clearance. Moreover, increasing age clearly appeared to be protective against LSIL development. Women aged ≥35 in the study cohort had significantly lower odds compared to those aged ≤24, consistent with the literature that underscores the transient nature of HPV-related lesions and the decline in new infections after the initial years of sexual activity.[37] However, in contrast to these milder lesions (ASC-US and LSIL), age was not associated with HSIL occurrence. This suggests that HSIL represents a consequence of chronic, persistent infection with a specific hrHPV genotype. The absence of significant associations with multiple HPV infections or any specific age group highlights that lesion severity is primarily genotype-dependent, rather than influenced by infection burden or age, reinforcing that all patients, regardless of age, may be at risk. Thus, early detection, consistent surveillance, and organized screening programs are critical to preventing the progression of cervical lesions to invasive cancer.

Furthermore, our findings reveal a clear positive association between HPV viral load and the risk of developing cytological abnormalities. Women who tested positive for multiple HPV types were more likely to present with ASC-US or LSIL compared to those infected with a single type. This suggests a possible infection burden-response relationship, wherein the cumulative presence of multiple HPV types may increase the risk of low-grade cytological changes.[38] In the case of HSIL, both our data and existing literature point to a different pattern: women infected with a single HPV type showed slightly higher rates of high-grade dysplasia compared to those with multiple-type infections. This finding aligns with the prevailing understanding that the presence of at least one high-risk oncogenic type, such as HPV-16 or HPV-18, is a stronger predictor of carcinogenic potential[39] compared to co-infections involving several low-risk genotypes, which are more likely to be cleared by the immune system.[40]

Overall, our results underscore the importance of targeted patient monitoring and HPV genotyping in cervical cancer screening programs. Identifying specific HPV types or the presence of multiple infections may help predict the likelihood of both low- and high-grade cervical dysplasia. In addition, further investigation into age-related patterns in HPV genotype prevalence is warranted to inform public healthcare policies. The possibility of carcinogenesis varies considerably by host immune factors, behavioral patterns, and screening access. Therefore, future research should also consider the role of immunosenescence,[41] sexual behavior trends across age groups, and social determinants of health to optimize risk-based screening algorithms and enhance preventive strategies.

Limitations

The interpretation of our findings should be considered in light of several limitations. First, the retrospective and cross-sectional design, combined with data collection from a single tertiary referral center, introduces a selection bias. Our results reflect the profile of a high-risk cohort attending a specific institution, and causal inferences cannot be established. Second, due to the retrospective nature of the analysis, data on confounding variables (such as HPV vaccination status, smoking, and detailed sexual history) were not consistently available and could not be included in the statistical models. Specifically, the lack of vaccination status information prevents us from accurately assessing the impact of the 2008 national program on current HPV prevalence and genotype distribution, particularly among the younger cohorts. This absence likely leads to an overestimation of the HPV prevalence in vaccinated populations and should be taken into account during interpretation. This lack of control may influence the observed associations. Third, while our sample size (n = 7,601) is large, its retrospective derivation means that we did not perform a priori sample size calculation. However, the size is considered highly adequate to detect meaningful differences in prevalence and associations, ensuring high statistical power. Fourth, the exclusion of non-diagnostic records, such as those labeled with “inflammation” or “cervical atrophy” [Figure 1], while necessary to maintain the analytic focus on squamous intraepithelial lesions, may have introduced a small selection bias by excluding data potentially related to specific HPV types or age-related immunological status.

SUMMARY

This retrospective study successfully met its objective of defining the prevalence, genotype distribution, and clinical correlates of HPV infection burden within this specific Greek tertiary care cohort. Our findings confirmed a high overall HPV prevalence of 31% and established a clear burden– response relationship, as multiple infections were significantly associated with the highest Odds for low-grade lesions, particularly among younger women. While the highest risks for HSIL were concentrated among the established oncogenic types (HPV-16, -18, and -33), our analysis also demonstrated significant associations of the low-risk HPV-42 with LSIL and of the non-vaccine-covered HPV-51 genotype with both ASC-US and LSIL. These comprehensive results reinforce the clinical necessity of genotype and infection burden profiling for accurate risk stratification and underscore the critical need for continued age-stratified screening and localized genotype surveillance to inform future prophylactic strategies in Greece.

ACKNOWLEDGMENT

The authors acknowledge the use of artificial intelligence-based language models (specifically ChatGPT, developed by OpenAI). The model was employed exclusively for minor editorial purposes, including figure enhancement (e.g., improving colors and visual clarity) and refinement of grammar and language. The authors affirm that the scientific content, data interpretation, and conclusions presented in this manuscript are entirely their own. The authors express their gratitude to all technical personnel for their contribution to this study.

AVAILABILITY OF DATA AND MATERIALS

An anonymized version of the dataset analyzed during the current study is available from the corresponding author upon reasonable request.

ABBREVIATIONS

ASC-US: Atypical squamous cells of undetermined significance

CE-IVD: Conformité européenne - in vitro diagnostic

DNA: Deoxyribonucleic acid

EQA: External quality assessment

HPV: Human papillomavirus

hrHPV: High-risk human papillomavirus

HSIL: High-grade squamous intraepithelial lesion

LBC: Liquid-based cytology

LSIL: Low-grade squamous intraepithelial lesion

N: Number

OR: Odds ratio

CI: Confidence interval

PCR: Polymerase chain reaction

QC: Quality control

SD: Standard deviation

SOPs: Standard operating procedures

TBS: The bethesda system

WHO: World Health Organization

AUTHOR CONTRIBUTIONS

NS, AL, and GT: Conceived and designed the study; GT: Provided access to the anonymized dataset; NS and EL: Conducted the data analysis; CT, PP, and GT: Contributed to the clinical interpretation of the findings; NS: Drafted the manuscript. All authors critically reviewed the manuscript, approved the final version, and agree to be accountable for all aspects of the work. All authors meet the ICMJE author qualifications.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This study was approved by the Bioethics and Ethics Committee of the Medical School, National and Kapodistrian University of Athens (approval number 1062). The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The requirement for informed consent was waived due to the retrospective design of the study and the full anonymization of all patient data.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

EDITORIAL/PEER REVIEW STATEMENT

To ensure the integrity and highest quality of Cytojournal publications, the review process of this manuscript was conducted under a double-blind model (authors are blinded for reviewers and vice versa) through an automatic online system.

FUNDING: Not applicable.

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