Objective: This study aimed to investigate the risk of cervical intraepithelial neoplasia grade 2 or worse (CIN2+) according to high-risk (HR) human papilloma virus (HPV) genotypes in women with negative cytology. Methods: A total of 33,531 Korean women who received Pap cytology + HPV co-testing for cervical cancer screening were retrospectively collected. To evaluate the risk of CIN2+ according to HR-HPV genotypes, odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated by a logistic regression model. Results: Of 1337 women with negative Pap result but HR-HPV positive included in the analysis, 160 (12.0%) women were infected by HPV16 or HPV18, while 1177 (88.0%) women were had other HR-HPVs infections. The prevalence of CIN2+ diseases was 3.7% (50 of 1337). In women with HPV16-negative, HPV18-negative, but other HR-HPV-positive (n = 1177), the risk for CIN2+ lesion was significantly increased in women with multiple HR-HPV infections (OR, 5.40; 95% CI, 2.37–12.73), those with HPV58 (OR, 4.83; 95% CI, 2.17–10.74), and those with HPV35 (OR, 4.77; 95% CI, 1.36–16.77). Conclusion: Colposcopy should also be referred to women with multiple HR-HPVs, HPV35, or HPV58 infections, as well as those with HPV16 and HPV18.
Human papilloma viruses (HPVs) are DNA viruses etiologically implicated in development of cervical, vaginal, and vulvar cancer and its precursors [1]. More than 200 types HPV ranging from HPV1 to HPV205 have been found and are classified as high-risk (HR) or low-risk types according to their oncogenicity [2]. HPV16 and HPV18 cause 70% of cervical cancers and cervical intraepithelial neoplasia (CIN) whereas HPV6 and HPV11 cause most of genital warts or condylomas [3,4].
Overall HPV infection prevalence worldwide was estimated to be 10% [5]. However, the HR-HPVs prevalence in women with cervical cancer was as high as approximately 95% (range, 91%–99.7%) [6,7]. Therefore, detection of HR-HPV is becoming increasingly attractive as a primary screening tool for cervical cancer because of its sensitivity and cost-effectiveness [8,9]. In 2014, the United States Food and Drug Administration (FDA) approved the first assay to be used as a first-line cervical cancer screening to detect HR-HPV in women 25 years of age or older. Approval was based on results from the Addressing THE Need for Advanced HPV Diagnosis (ATHENA) observational clinical trial that assessed HPV-alone screening in 42,209 women [10].
The 2019 American Society for Colposcopy and Cervical Pathology (ASCCP) guideline for cervical cancer screening recommends that women with negative Pap cytology but HPV16 or HPV18 positive should undergo colposcopy [11,12]. In women with cytology negative but other HR-HPVs positive except HPV16 and HPV18 types, the 2019 ASCCP guidelines recommend co-testing of Pap cytology and HPV test again in one year without the immediate referral to colposcopy [11,12]. However, this can be lead to a significant problem in the diagnosis and treatment for cervical cancer women with a false-negative error of Pap cytology. Because understanding the natural history of HPV infection is important to identify high risk population of cervical cancer and guide the prevention of cervical cancer, this study aimed to evaluate the risk of CIN grade 2 or worse (CIN2+) according to specific HR-HPV type infection in women with negative cytology.
This cross-sectional study retrospectively analyzed data of the private clinics/hospitals and health examination centers of university hospital for 29,282 women who had undergone Pap + HPV co-testing for the cervical cancer screening in Korea from January 2015 to December 2016. Colposcopic examination was carried out if co-testing revealed any abnormal results. Inclusion criteria were as follows: age between 18 and 80 years, HPV genotyping data available, and the presence of data of colposcopic cervical biopsy as the gold standard diagnostic test. Exclusion criteria were: history of operative hysterectomy, current or prior history of CIN or worse within the recent two years, or pregnant status. This retrospective study was approved by the local ethics committee of Kangbuk Samsung Hospital (Approval No.: KBSMC 2018-05-023; Approval date: 15 May 2018), and the need for written informed consent was waived.
HPV DNA test was carried out for cervical swab samples with nucleic acid amplification assays (DNA chip array, Ahngookbio, Chuncheon, Korea; PCR-RFMP assay, EONE Laboratories, Incheon, Korea; RT-PCR assay, Seegene, Seoul, Korea) to detect the HR-HPV (types 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, 82). In this study, HPV DNA tests were considered to be positive for other HR-HPV if type 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, or 82 was detected on swab sample. Colposcopic punch biopsy was carried out when any HR-HPV positive was found on cervical swab sample.
SPSS 20.0 (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses.
Qualitative data were presented as frequencies (percentages) whereas quantitative
variables were presented as means
Of 33,531 women who received Pap + HPV co-testing for cervical cancer screening during the study period, 32,123 women were excluded because of follow-up screening data of identical person (n = 334), co-testing not conducted simultaneously (n = 4249), no available data of colposcopic punch biopsy (n = 24,760), or Pap cytology results of ASCUS or worse (n = 2780). A total of 1408 women with negative Pap result but HR-HPV positive were identified. However, 71 women were further excluded due to no available data about other HR-HPV genotyping. Therefore, 1337 women were finally included in this study (Fig. 1).

CONSORT diagram for case selection.
The mean age of these 1337 women was 34.5
Characteristic | Value | |
Age (years) | Mean |
34.5 |
Age group | age |
545 (40.8%) |
30 |
401 (30.0%) | |
40 |
277 (20.7%) | |
age |
114 (8.5%) | |
Institution | Private clinics | 1256 (93.9%) |
University hospitals | 81 (6.1%) | |
Pap cytology method | Liquid-based | 851 (63.6%) |
Conventional | 485 (36.3%) | |
Not reported | 1 (0.1%) | |
Pap cytology result | NILM | 1337 (100.0%) |
HPV method | DNA chip array | 204 (15.3%) |
PCR-RFMP assay | 816 (61.0%) | |
RT-PCR assay | 317 (23.7%) | |
HPV infection type | HPV16 or HPV18 positive | 160 (12.0%) |
Others HR-HPV positive |
1177 (88.0%) | |
Biopsy result | Within normal limits | 878 (78.7%) |
CIN1 | 409 (30.6%) | |
CIN2 | 32 (2.4%) | |
CIN3 | 16 (1.2%) | |
Cancer | 2 (0.1%) | |
Disease prevalence | Threshold: CIN2 or worse | 50 (3.7%) |
Abbreviation: SD, standard deviation; Pap,
Papanicolaou; NILM, negative for intraepithelial lesion or malignancy; HPV, human
papillomavirus; DNA, deoxyribonucleic acid; PCR, polymerase chain reaction; RFMP,
restriction fragment mass polymorphism; RT, real-time; HR, high risk; CIN,
cervical intraepithelial neoplasia. |
Distribution of HR-HPV genotype infection is shown in Table 2. The most common HR-HPV genotype was HPV58 (15.4%) infection, followed by, HPV39 (11.6%), HPV52 (11.6%), HPV16 (9.9%), HPV56 (9.4%), and HPV51 (9.2%). Multiple and single HR-HPV infection rates were 12.4% and 86.6%, respectively. Four or more different HR-HPV infections were found in 14 (1.0%) cases.
Variable | n (%) | ||
HPV type specific prevalence | |||
HPV16 | 132 (9.9%) | ||
HPV18 | 33 (2.5%) | ||
HPV26 | 41 (3.1%) | ||
HPV31 | 28 (2.1%) | ||
HPV33 | 68 (5.1%) | ||
HPV35 | 41 (3.1%) | ||
HPV39 | 155 (11.6%) | ||
HPV45 | 76 (5.7%) | ||
HPV51 | 123 (9.2%) | ||
HPV52 | 155 (11.6%) | ||
HPV53 | 90 (6.7%) | ||
HPV56 | 126 (9.4%) | ||
HPV58 | 206 (15.4%) | ||
HPV59 | 41 (3.1%) | ||
HPV66 | 81 (6.1%) | ||
HPV68 | 53 (4.0%) | ||
HPV69 | 30 (2.2%) | ||
HPV70 | 45 (3.4%) | ||
HPV73 | 22 (1.6%) | ||
HPV83 | 24 (1.8%) | ||
Number of HR-HPV infections | |||
Single infection | 1171 (87.6%) | ||
Multiple infections | 166 (12.4%) | ||
2 types | 118 (8.8%) | ||
3 types | 34 (2.5%) | ||
4 types | 10 (0.7%) | ||
5 types | 3 (0.2%) | ||
6 types | 1 (0.1%) |
HPV16 or HPV18 was significantly associated with a diagnosis of CIN2+ lesion
compared to other HR-HPV genotypes (risk for CIN2+, 15.6%; OR, 8.53; 95% CI,
4.77–15.28; p-value
HR-HPV genotyping | Pathologic diagnosis | OR | 95% CI | p-value | ||
[threshold: CIN2+] | ||||||
Positive, n (%) | Negative, n (%) | |||||
HPV16 or 18 (n = 160) | 25 (15.6%) | 135 (84.4%) | 8.53 | 4.77–15.28 | ||
Other HR-HPVs (n = 1177) | 25 (2.1%) | 1152 (89.5%) | 1 | |||
Separate risk of HPV16 or 18 | ||||||
HPV16 positive (n = 132) | 20 (17.9%) | 112 (82.1%) | 7.79 | 4.23–14.34 | ||
HPV16 negative (n = 1205) | 27 (2.3%) | 1178 (97.7%) | 1 | |||
HPV18 positive (n = 33) | 6 (22.2%) | 27 (77.9%) | 5.81 | 2.29–14.74 | 0.002 | |
HPV18 negative (n =1304) | 48 (3.8%) | 1256 (96.2%) | 1 | |||
Abbreviation: OR, odds ratio; CI, confidence interval; CIN2+, CIN2 or worse. |
HPV type | Pathologic diagnosis | OR | 95% CI | p-value | ||
[threshold: CIN2+] | ||||||
Positive, n (%) | Negative, n (%) | |||||
No. of infection | ||||||
Single infection | 16 (1.5%) | 1045 (98.5%) | 1 | |||
Multiple infections | 9 (7.8%) | 107 (92.2%) | 5.49 | 2.37–12.73 | ||
Individual infection | ||||||
HPV26 | 1 (2.5%) | 39 (97.5%) | 1.19 | 0.15–9.02 | 0.867 | |
HPV31 | 1 (3.6%) | 27 (96.4%) | 1.74 | 0.23–12.31 | 0.595 | |
HPV33 | 3 (4.5%) | 63 (95.5%) | 2.36 | 0.69–8.09 | 0.173 | |
HPV35 | 3 (8.6%) | 32 (93.4%) | 4.77 | 1.36–16.77 | 0.015 | |
HPV39 | 0 | 145 (100%) | - | - | 0.996 | |
HPV45 | 1 (1.4%) | 72 (98.6%) | 0.63 | 0.08–4.69 | 0.647 | |
HPV51 | 3 (2.6%) | 111 (97.4%) | 1.28 | 0.38–4.34 | 0.693 | |
HPV52 | 6 (4.1%) | 140 (95.9%) | 2.28 | 0.90–5.81 | 0.084 | |
HPV53 | 0 | 97 (100%) | - | - | 0.997 | |
HPV56 | 2 (1.7%) | 118 (98.3%) | 0.76 | 0.18–3.28 | 0.715 | |
HPV58 | 12 (6.1%) | 185 (93.9%) | 4.83 | 2.17–10.74 | ||
HPV59 | 0 | 40 (100%) | - | - | 0.998 | |
HPV66 | 2 (2.6%) | 74 (97.4%) | 1.27 | 0.29–5.48 | 0.752 | |
HPV68 | 1 (2.0%) | 49 (98.0%) | 0.94 | 0.12–7.08 | 0.950 | |
HPV69 | 0 | 29 (100%) | - | - | 0.998 | |
HPV70 | 0 | 43 (100%) | - | - | 0.998 | |
HPV73 | 0 | 18 (100%) | - | - | 0.999 | |
HPV83 | 0 | 19 (100%) | - | - | 0.998 |
Our data confirmed the 2012 and 2019 ASCCP guideline for HR-HPV genotyping. It recommends immediate referral to colposcopy of HPV16 or HPV18 positive women with negative Pap result. Our data suggest that colposcopy should also be referred to women with multiple HR-HPVs, HPV35, or HPV58 infections. We believe that this study is very valuable because understanding the natural history of specific HR-HPV genotype infections is important to build cervical cancer screening guideline.
In this study, HPV16 or 18 (risk for CIN2+, 15.6%; p-value
Cervical cancer screening strategies vary from country to country [12,16-18]. Some countries have population-based screening programs for cervical cancer, which this program can be implemented nationwide or only in specific province. The most common method used for cervical cancer screening is Pap cytology, followed by HPV DNA test, visual inspection with acetic acid (VIA), and cervicography. VIA is an alternate screening program to Pap cytology in low-resource settings (so-called ‘see and treat’ method). Cervicography is a photographic diagnostic test which a non-gynecologic oncologist takes pictures of the cervix and submits them to a gynecologic oncologist for interpretation. HPV test is being introduced into some middle- or high-resource countries as the primary screening program or as an adjunct test to Pap cytology screening [12,16-18].
Recently, ASCCP guidelines for management of cervical cancer screening abnormality have been updated to the 2019 version [12]. Four new guiding principles were added to the 2019 version. First, HPV DNA test is based on the risk estimation. The HPV test can be performed either primary HPV testing alone or co-testing in conjunction with Pap cytology. Second, personalized management is recommendable with understanding of current results and individual history. Third, guidelines should allow updates to unify new screening methods because of risk reduction from HPV vaccination. Finally, colposcopy practice should be performed with guidance detailed in the ASCCP Colposcopy Standards [19].
This study also showed that the risk for CIN2+ lesion was significantly
increased in patients with multiple HR-HPV infections (risk for CIN2+, 7.8%; OR,
5.40; 95% CI, 2.37–12.73, p-value
This study had some limitations. First, colposcopic biopsy samples were not centralized because of the following two reasons: (1) approximately 60% of CIN1 lesions could spontaneously regress without any treatment [26], and (2) the intraobserver and interobserver agreements for pathologic diagnosis of CIN1 were poor, while agreements for CIN2+ lesions were good [27]. However, according to data from histology reviews from population-based studies, diagnosis of CIN2 was a less reproducible and less confirmative than those of CIN3 [28-30]. Second, our findings could not be simply extended to Western women because HPV infection is population-specific. Third, HPV genotyping was evaluated in various laboratories under real clinical practice. Therefore, there were three different assays used for HPV-detection in this study. Because of the limitation of the retrospective study, we could not assess the distribution of genotypes between the different HPV tests. Meanwhile, this study has several strengths of this study. First, it included a large number of women who were evaluated. In addition, all women enrolled had Pap cytology, HPV genotyping, and colposcopic punch biopsy performed. Moreover, real-world data in clinical practice were used.
In conclusion, our findings suggest that colposcopy should also be referred to women with multiple HR-HPVs, HPV35, or HPV58 infections, as well as those with HPV16 and HPV18, although the current 2019 ASCCP guideline recommends that HPV16+ or HPV18+ women with Pap cytology result referred for immediate colposcopy whereas those who are positive for the other HR-HPV genotypes are recommended to undergo repeated co-testing with both Pap cytology and HPV test at 12 months. This is the first study that documents referral to colposcopy of multiple HR-HPVs, HPV35, or HPV58 positive women with negative cytology. However, further large and randomized controlled trials are needed to change current guideline based on our findings.
TS and SJS designed the study and wrote the paper. SKL, BRK, WJ, KHK, KN, JCS, and TJK participated in the design of the study and performed the static analysis. All authors read and approved the final manuscript.
The study protocol was approved by the local ethics committee (Approval No.: KBSMC 2018-05-023; Approval date: 15 May 2018), and the need for written informed consent was waived.
Thanks to all the patients.
This research received no external funding.
The authors declare no conflict of interest.