Search tips
Search criteria 


Logo of jcpJournal of Cancer PreventionThis ArticleAims and ScopeInstructions for Authorse-Submission
J Cancer Prev. 2016 June; 21(2): 104–109.
Published online 2016 June 30. doi:  10.15430/JCP.2016.21.2.104
PMCID: PMC4933434

Human Papillomavirus Prevalence and Type Distribution Among 968 Women in South Korea



Geographic variation in the prevalence of carcinogenic types and human papillomavirus (HPV) genotype distribution is closely associated with the impact of HPV prophylactic vaccines. We determined the prevalence and distribution of HPV genotypes among healthy women in Korea.


This study included 968 healthy women who were examined at a health promotion center of the Korea University Guro Hospital between January and June 2013. Each participant had a Pap test and a HPV DNA test using the Anyplex™ II HPV 28 Detection system, which detects 19 high-risk HPVs (HR HPVs) and 9 low-risk HPVs (LR HPVs). Women with abnormal cytology and/or positivity for HR HPVs were referred to colposcopic biopsy.


Overall HR HPV prevalence based on the assay was 33.7%. Among them, 225 women had single infection and 101 women had multiple infection. The most frequently occurring HR HPV types were 53 (6.5%), 52 (6.1%), 58 (4.8%), 16 (4.5%), and 68 (4.2%). The most frequently occurring LR HPV types were 54 (5.4%), 70 (3.8%), 42 (3.6%), 61 (3.4%), and 44 (3.1%). The prevalence of HPV 16 was highest (17.6%) among women with cervical intraepithelial neoplasia (CIN) and HPV 16 was strongly associated with a diagnosis of CIN2/3 (odds ratio = 20.5; 95% confidence interval: 3.9–107.1; P < 0.0001).


HPV 53, 52, 58, 16, and 68 were common HR HPV types among healthy Korean women. HPV16 was the most common type in high-grade CIN lesions, as shown in most studies worldwide. The results might be useful information for cervical cancer prevention in South Korea.

Keywords: Human papillomavirus, Cervical intraepithelial neoplasia, Cytology


Human papillomavirus (HPV) is one of the most common causes of sexually transmitted disease in women and results in various clinical conditions from asymptomatic infections to malignant genital diseases. More than 200 types of HPV have been identified on the basis of DNA sequence and approximately 30 HPV types infect primarily the cervix, vagina, vulva, and anus.1 The relationship between HPV infection and cervical malignancy is well established. Based on their association with cervical cancer and precursor lesions, HPV types can also be grouped as high-risk (HR) or low-risk (LR): LR HPV includes types 6, 11, 40, 42, 43, and 44, whereas HR HPV includes types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 66.

The overall prevalence of HPV infection worldwide is estimated to be approximately 10% (1.4%–25.6%).2 In contrast, in patients with cervical cancer, the prevalence of HPV DNA is as high as 99.7%.3 Therefore, detection of HR HPV is becoming increasingly attractive as a primary screening tool for cervical cancer because of its sensitivity and cost-effectiveness.4 However, the prevalence and distribution of HPV types differ around the world and the importance of different HPV types varies by region. In the United States and Europe, four types are most often found in patients with cervical cancer, with type 16 accounting for approximately 50% of cases, followed by types 18, 31, and 45.5 In South China, type 52 is the most common, followed by types 16, 58, 68, and 33.6

Knowledge of geographic variation in the prevalence of carcinogenic types and HPV genotype distribution is essential in order to assess the impact of HPV prophylactic vaccines.7 In South Korea, there are several reports on the HPV type distribution in cervical cancers but few studies on screening in healthy women.810 Therefore, we investigated the prevalence and distribution of HPV types among women who visited the health promotion center of Guro hospital and analyzed the risk factors associated with HPV infection.


1. Study population

This study included 968 healthy women who were examined at a health promotion center of the Korea University Guro Hospital between January and June 2013. Each participant had a gynecologic examination that included liquid-based cytology and a cervical sample for HPV detection. All patient specimens and relevant data were obtained with approval from the Institutional Review Board of Korea University Guro Hospital and with informed patient consent.

2. Liquid-based cytology

A Cervex brush (Rovers Medical Devices, Oss, Netherlands) was used to obtain samples from the cervix. The brush was immediately rinsed in a vial of PreservCyt solution (Cytyc Corporation, Marlborough, MA, USA) and the vial was placed in a ThinPrep (Cytyc Corporation) processor. The ThinPrep slide was fixed in ethanol and stained with Papanicolaou’s stain. Abnormal cytology was reported using the 2001 Bethesda system as atypical squamous cell of undetermined significance (ASCUS), low-grade squamous intraepithelial lesion (LSIL), or high-grade squamous intraepithelial lesion (HSIL).

3. Human papillomavirus DNA testing

HPV DNA testing was carried out on all samples using the Anyplex™ II HPV 28 Detection system (Seegene, Seoul, Korea). Extraction of total DNA was performed as recommended by the manufacturer. The kit contains sets of primers that were specifically designed based on highly conserved regions of the HPV genetic sequences and uses HPV-specific dual priming oligonucleotides (DPO™). This multiplex real-time PCR test identifies 28 HPV genotypes including 19 HR HPVs (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, 82) and 9 LR HPVs (6, 11, 40, 42, 43, 44, 54, 61, 70). Data recording and interpretation were automated with the Anyplex™ software according to the manufacturer’s instructions.

4. Histology

Women with abnormal cytology and/or HR HPV positivity were referred to colposcopic examination and cervical biopsy. All biopsy specimens submitted for histologic assessment were routinely examined in their entirety. Histologic grading of cervical intraepithelial neoplasia (CIN) is based on the standard grades of CIN1, CIN2, and CIN3.

5. Statistical analysis

Data are presented as the mean ± SD for continuous variable and number (percentage) for categorical variables. The prevalence of HPV was analyzed with respect to cytology results based on the Bethesda system. When two groups compared, differences in continuous variable were analyzed using the Student’s t-test and proportions were compared using the chi-square test. The Mann-Whitney U-test was used to assess the association between HPV status and parity and abortion. To estimate the risk of high-grade CIN (CIN2/3) associated with different HPV types, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) by logistic regression. The ORs were estimated for common five types of HPV among the HR HPV infected CIN cases. Values of P < 0.05 were considered to indicate a statistically significant result. Data were analyzed with IBM SPSS ver. 20.0 (IBM Co., Armonk, NY, USA).


A total of 968 healthy women were enrolled in this study. Table 1 presents the characteristics of the participants. The mean age of the study population was 48.3 years. With respect to cervical cytology, 610 women (63.0%) had normal cytology, 112 (11.6%) had ASCUS, 67 women (6.9%) had LSIL, and 15 women (1.6%) had HSIL. HPV type testing by the Anyplex™ II HPV 28 Detection system revealed that 393 women (40.6%) were positive for HPV (199 women for only HR HPV infection, 67 women for only LR HPV infection, and 127 women for both HR and LR HPV infections). For HR HPV infection, HPV 53 (6.5%) was the most common type, followed by HPV 52 (6.1%), HPV 58 (4.8%), HPV 16 (4.5%), HPV 68 (4.2%), HPV 51 (3.5%), HPV 39 (2.5%), HPV 56 (2.5%), HPV 35 (2.1%), HPV 66 (2.1%), HPV 18 (1.8%), HPV 82 (1.0%), and HPV 45 (0.6%). For LR HPV infection, HPV 54 (5.4%) was the most common type, followed by HPV 70 (3.8%), HPV 42 (3.6%), HPV 61 (3.4%), HPV 44 (3.1%), HPV 43 (2.8%), HPV 40 (2.1%), HPV 6 (1.0%), and HPV 11 (0.3%).

Table 1.
Baseline characteristics of women in this study (n = 968)

The distributions of single and multiple HR HPV infection were shown in Table 2. Infection with a single HPV type and multiple HPV types was detected in 57.3% and 25.7% of all HPV-positive women, respectively. Among cases of HR HPV single infection, HPV 52 was the most frequent type (13.8%), followed by HPV 58 (12.0%), HPV 53 (11.6%), HPV 16 (11.1%), HPV 68 (9.3%), HPV 51 (6.7%), HPV 18, 56, and 66 (each 5.3%), HPV 39 (4.0%), HPV 33, 35, and 59 (each 3.6%), HPV 31(2.2%), HPV 82 (1.8%), and HPV 45 and 69 (each 0.4%).

Table 2.
Distribution of high-risk HPVa infections

To investigate risk factors associated with HR HPV infection, we compared several variables between HR HPV-positive and HPV-negative groups. As shown in Table 3, women with HR HPV had a significantly younger age at the first delivery (25.0 years versus 26.0 years, P = 0.006) than the HPV-negative group. Other factors, including age, body mass index, the number of abortions or deliveries, HPV vaccination, menopause status, underlying diseases (diabetes, hypertension), and condom use were not significantly different between the two groups.

Table 3.
Characteristics of women infected with high-risk HPVsa

HPV prevalence rates according to cervical cytology are shown in Figure 1. The prevalence of HR HPV was 26.9% in patients with normal cytology, 45.6% for ASCUS, 79.1% for LSIL, and 93.3% for HSIL. The prevalence of HR HPV increased significantly with increasing grade from normal to HSIL (P < 0.001). Women with abnormal cytology and/or HR HPV positivity (n = 73) were referred for colposcopic examination and cervical biopsy (Table 4). Among these, 55 women had CIN and only 18 had normal histologic findings. The HR HPV positivity rate was 44.4% in the normal group, 86.5% in CIN1, 100% in CIN2, and 92.9% in CIN3, whereas the percentage of patients with abnormal cytology was 66.7% in normal group, 81.1% in CIN1, 75.0% in CIN2, and 78.6% in CIN3. These results suggest that HR HPV infection was more predictive for cervical lesions than abnormal cytology. In addition we evaluated the types of HR HPV most commonly involved in single infection in the patients with CIN. HPV 16 (17.6%) was most common type in patients with CIN, followed by HPV 58 (13.2%), HPV 52 (8.8%), HPV 39 (7.4%), and HPV 51 (7.4%). Of these, HPV 16 showed the strongest association with a diagnosis of CIN2/3 (OR = 20.5; 95% CI: 3.9–107.1; P < 0.0001) (Table 5).

Figure 1.
Prevalence of HPV infection according to cervical cytology. The prevalence of HR HPVs increases significantly with increasing grade from normal to HSIL (P < 0.001). ASCUS, atypical squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial ...
Table 4.
Results of colposcopic biopsy
Table 5.
HPV type-specific risk for HSIL (CIN2/3) in HR HPVa infected women


This cross-sectional study provided the type-specific prevalence of HPV in healthy Korean women through testing for 28 HPV types. The overall prevalence of HPV infection was 40.6% (n = 393). Among the HPV-positive group, 326 women (83.0%) were infected with at least one HR type and only 67 women (17.0%) were infected with a LR type. The results of this study indicate a much higher prevalence of HPV than the overall prevalence worldwide (1.4%–25.6%).2 The prevalence of HR HPV was also high (33.7%) and it is unusual in the advanced age women. The result may be caused by specific study population who visited the health promotion center. They are different group from the general healthy population.

The most common types are HPV 53 (6.5%), HPV 52 (6.1%), HPV 58 (4.8%), HPV 16 (4.5%), and HPV 68 (4.2%). In previous Korean studies, HPV 52, HPV 58, and HPV 51 were commonly identified in precancerous lesions, whereas HPV 16, HPV 33, HPV 58, and HPV 31 were the most common types in cervical cancer.810 These results for HR HPV genotyping are slightly different from those obtained in another Korean study which was conducted in screening population of Gangnam.11 Its overall prevalence of HR HPV was 19.7%, with the most common types being HPV 58, HPV 16, HPV 52, and HPV 18. Differences in the prevalence of HPV genotypes might be related to the complex geographical factors and biological interactions between different HPV types and host immune system.12 The Gangnam population in South of Seoul consists of people with higher socioeconomic status than those in Guro, West of Seoul. A high education level is a possible protective factor for HPV infection.13 In addition, women from Gangnam may seek health check-ups more frequently and thus have a substantially lower prevalence of abnormal cervical cytology than those from Guro (less than 5% versus 20%).

Among the HPV-positive group, 57.3% had HR HPV single infection and 25.7% had co-infection with multiple HR HPVs. Multiple infection with different HR HPV types was more common in this study than in a previous Korean study using a HPV DNA chip (157/967, 16.2%).10 This difference might be related to use of the Anyplex™ II HPV 28 assay that allowed detection of nearly all genital genotypes (19 HR HPV types) compared with previous HPV DNA chip analysis, which measured only 15 HR HPV types. The Anyplex™ II HPV28 assay is a very sensitive and specific HPV genotyping assay.14 It is more sensitive in the detection of HR types represented by Hybrid Capture 2 assay and exhibits a higher concordance with comprehensive genotyping based on the sequencing analysis.15 Depending on the HPV detection method used, multiple infection rates of up to 40% have been reported.16 In addition, high rate of multiple HR HPV infections might result from the deviated study population who had the high prevalence (33.7%) of HR HPV infection. Study population, that is, women who visited health promotion center, also can be a different group from the general healthy population.

Multiple HPV infection has been observed more frequently in women with abnormal cytology or those with impaired immune system.1719 In addition, multiple HPV infection seems to promote cervical carcinogenesis, increasing the risk of high-grade intraepithelial lesions and invasive cancer through a synergistic effect of HPV types.20,21 Therefore, the relatively high rate of multiple HR HPV infection in Korean women has implications for the screening of cervical cancer and prediction of the outcome of HPV infections.

Understanding the HPV prevalence and type distribution in women is important for determining the effectiveness of prophylactic HPV vaccination and HPV-based cervical cancer screening. Women infected with a HR HPV type or with multiple HPV types have an increased risk for persistent CIN.22 In this study, the overall prevalence of HR HPV among women with normal cytology was 26.9%. This was higher than the previously reported worldwide distribution (13.3%) but similar to results of a Korean meta-analysis (23.9%).2,9 In addition, the incidence of ASCUS is relatively high as 11.6% may result from high prevalence of HR HPV infection around 33.7%.

The prevalence significantly increased according to the cytologic grade from ASCUS to HSIL (45.6% in ASCUS, 79.1% in LSIL, and 93.3% in HSIL, P < 0.001). HPV prevalence is also positively associated with the severity of cervical abnormalities.6 Recently, a report on 30,371 women in China showed that the HR HPV prevalence was 11.2% in women with normal histology, 79.7% in CIN1, 95.0% in CIN2, 97.4% in CIN3, and 98.0% in carcinoma.23 In this study the HR HPV prevalence was 44.4% in women with normal histology, 86.5% in CIN1, 100% in CIN2, and 92.4% in CIN3. In addition, this relationship seemed to be more predictive of cervical lesions than abnormal cytology (66.7% in normal group, 81.1% in CIN1, 75.0% in CIN2, and 78.6% in CIN3). HPV testing for a group of HR types has previously been shown to be a more sensitive screening technique than cytology for detecting high-grade CIN.4 Among the CIN lesions, HPV 16 (17.6%) was the most common type in patients with CIN and the most strongly associated with a diagnosis of CIN2/3 (OR = 20.5; 95% CI: 3.9–107.1; P < 0.0001), as demonstrated in most studies worldwide.

This study has some limitations. First, there can be selection bias. The study population was relatively small and in relatively advanced age group (mean age: 48.3 years old) visited the health promotion center. The results should be interpreted with caution, especially since the participants may differ from the general population. Second, a single institution has geographical limitation and current estimation of HR-HPV prevalence is not equivalent to a national average. Nation-wide study is needed to confirm accurate prevalence of HPV infection.

Nonetheless, these findings can provide useful basic data on the status of HPV infection in Korea, especially since there is histological confirmation of the lesions, and attribute the lesion to the specific HPV type. In conclusion, the most common HR HPV types were types 53 (6.5%), 52 (6.1%), 58 (4.8%), 16 (4.5%), and 68 (4.2%). Also, this study confirms the clinical importance of HPV type 16, the most common type in high-grade CIN lesions. Information on regional HPV prevalence might be useful for establishment of a strategy for cervical cancer prevention in South Korea. Further large-scale and multicenter studies will be needed to fully understand the HPV status among Korean women.



No potential conflicts of interest were disclosed.


1. Burd EM. Human papillomavirus and cervical cancer. Clin Microbiol Rev. 2003;16:1–17. doi: 10.1128/CMR.16.1.1-17.2003. [PMC free article] [PubMed] [Cross Ref]
2. Clifford GM, Gallus S, Herrero R, Muñoz N, Snijders PJ, Vaccarella S, et al. IARC HPV Prevalence Surveys Study Group Worldwide distribution of human papillomavirus types in cytologically normal women in the International Agency for Research on Cancer HPV prevalence surveys: a pooled analysis. Lancet. 2005;366:991–8. doi: 10.1016/S0140-6736(05)67069-9. [PubMed] [Cross Ref]
3. Walboomers JM, Jacobs MV, Manos MM, Bosch FX, Kummer JA, Shah KV, et al. Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999;189:12–9. doi: 10.1002/(SICI)1096-9896(199909)189:1<12::AID-PATH431>3.0.CO;2-F. [PubMed] [Cross Ref]
4. Cuzick J, Szarewski A, Cubie H, Hulman G, Kitchener H, Luesley D, et al. Management of women who test positive for high-risk types of human papillomavirus: the HART study. Lancet. 2003;362:1871–6. doi: 10.1016/S0140-6736(03)14955-0. [PubMed] [Cross Ref]
5. Harro CD, Pang YY, Roden RB, Hildesheim A, Wang Z, Reynolds MJ, et al. Safety and immunogenicity trial in adult volunteers of a human papillomavirus 16 L1 virus-like particle vaccine. J Natl Cancer Inst. 2001;93:284–92. doi: 10.1093/jnci/93.4.284. [PubMed] [Cross Ref]
6. Li J, Huang R, Schmidt JE, Qiao YL. Epidemiological features of Human Papillomavirus (HPV) infection among women living in Mainland China. Asian Pac J Cancer Prev. 2013;14:4015–23. doi: 10.7314/APJCP.2013.14.7.4015. [PubMed] [Cross Ref]
7. Muñoz N, Bosch FX, de Sanjosé S, Herrero R, Castellsagué X, Shah KV, et al. International Agency for Research on Cancer Multicenter Cervical Cancer Study Group Epidemiologic classification of human papillomavirus types associated with cervical cancer. N Engl J Med. 2003;348:518–27. doi: 10.1056/NEJMoa021641. [PubMed] [Cross Ref]
8. Oh JK, Alemany L, Suh JI, Rha SH, Muñoz N, Bosch FX, et al. Type-specific human papillomavirus distribution in invasive cervical cancer in Korea, 1958–2004. Asian Pac J Cancer Prev. 2010;11:993–1000. [PubMed]
9. Bae JH, Lee SJ, Kim CJ, Hur SY, Park YG, Lee WC, et al. Human papillomavirus (HPV) type distribution in Korean women: a meta-analysis. J Microbiol Biotechnol. 2008;18:788–94. [PubMed]
10. Lee HS, Kim KM, Kim SM, Choi YD, Nam JH, Park CS, et al. Human papillomavirus genotyping using HPV DNA chip analysis in Korean women. Int J Gynecol Cancer. 2007;17:497–501. doi: 10.1111/j.1525-1438.2007.00871.x. [PubMed] [Cross Ref]
11. Kim MJ, Kim JJ, Kim S. Type-specific prevalence of high-risk human papillomavirus by cervical cytology and age: data from the health check-ups of 7,014 Korean women. Obstet Gynecol Sci. 2013;56:110–20. doi: 10.5468/OGS.2013.56.2.110. [PMC free article] [PubMed] [Cross Ref]
12. Hildesheim A, Wang SS. Host and viral genetics and risk of cervical cancer: a review. Virus Res. 2002;89:229–40. doi: 10.1016/S0168-1702(02)00191-0. [PubMed] [Cross Ref]
13. Chen Z, Meng W, Du R, Zhu Y, Zhang Y, Ding Y. Genotype distribution and the relative risk factors for human papillomavirus in Urumqi, China. Exp Ther Med. 2013;6:85–90. [PMC free article] [PubMed]
14. Estrade C, Sahli R. Comparison of Seegene Anyplex II HPV28 with the PGMY-CHUV assay for human papillomavirus genotyping. J Clin Microbiol. 2014;52:607–12. doi: 10.1128/JCM.02749-13. [PMC free article] [PubMed] [Cross Ref]
15. Kwon MJ, Roh KH, Park H, Woo HY. Comparison of the Anyplex II HPV28 assay with the Hybrid Capture 2 assay for the detection of HPV infection. J Clin Virol. 2014;59:246–9. doi: 10.1016/j.jcv.2014.01.015. [PubMed] [Cross Ref]
16. Hamlin-Douglas LK, Coutlée F, Roger M, Franco EL, Brassard P. Prevalence and age distribution of human papillomavirus infection in a population of Inuit women in Nunavik, Quebec. Cancer Epidemiol Biomarkers Prev. 2008;17:3141–9. doi: 10.1158/1055-9965.EPI-08-0625. [PubMed] [Cross Ref]
17. Ho GY, Palan PR, Basu J, Romney SL, Kadish AS, Mikhail M, et al. Viral characteristics of human papillomavirus infection and antioxidant levels as risk factors for cervical dysplasia. Int J Cancer. 1998;78:594–9. doi: 10.1002/(SICI)1097-0215(19981123)78:5<594::AID-IJC11>3.0.CO;2-B. [PubMed] [Cross Ref]
18. Levi JE, Kleter B, Quint WG, Fink MC, Canto CL, Matsubara R, et al. High prevalence of human papillomavirus (HPV) infections and high frequency of multiple HPV genotypes in human immunodeficiency virus-infected women in Brazil. J Clin Microbiol. 2002;40:3341–5. doi: 10.1128/JCM.40.9.3341-3345.2002. [PMC free article] [PubMed] [Cross Ref]
19. Rousseau MC, Abrahamowicz M, Villa LL, Costa MC, Rohan TE, Franco EL. Predictors of cervical coinfection with multiple human papillomavirus types. Cancer Epidemiol Biomarkers Prev. 2003;12:1029–37. [PubMed]
20. van der Graaf Y, Molijn A, Doornewaard H, Quint W, van Doorn LJ, van den Tweel J. Human papillomavirus and the long-term risk of cervical neoplasia. Am J Epidemiol. 2002;156:158–64. doi: 10.1093/aje/kwf013. [PubMed] [Cross Ref]
21. Trottier H, Mahmud S, Costa MC, Sobrinho JP, Duarte-Franco E, Rohan TE, et al. Human papillomavirus infections with multiple types and risk of cervical neoplasia. Cancer Epidemiol Biomarkers Prev. 2006;15:1274–80. doi: 10.1158/1055-9965.EPI-06-0129. [PubMed] [Cross Ref]
22. Ho GY, Einstein MH, Romney SL, Kadish AS, Abadi M, Mikhail M, et al. Albert Einstein Cervix Dysplasia Clinical Consortium Risk factors for persistent cervical intraepithelial neoplasia grades 1 and 2: managed by watchful waiting. J Low Genit Tract Dis. 2011;15:268–75. doi: 10.1097/LGT.0b013e3182216fef. [PMC free article] [PubMed] [Cross Ref]
23. Zhao FH, Lin MJ, Chen F, Hu SY, Zhang R, Belinson JL, et al. Cervical Cancer Screening Group in China Performance of high-risk human papillomavirus DNA testing as a primary screen for cervical cancer: a pooled analysis of individual patient data from 17 population-based studies from China. Lancet Oncol. 2010;11:1160–71. doi: 10.1016/S1470-2045(10)70256-4. [PubMed] [Cross Ref]

Articles from Journal of Cancer Prevention are provided here courtesy of Korean Society of Cancer Prevention