| Literature DB >> 29724192 |
Pingsen Zhao1,2,3,4,5, Sudong Liu6,7,8,9,10, Zhixiong Zhong7,8,9, Jingyuan Hou6,7,8,9,10, Lifang Lin6,7,8,9,10, Ruiqiang Weng6,7,8,9,10, Luxian Su6,7,8,9,10, Nanxiang Lei11, Tao Hou11, Haikun Yang11.
Abstract
BACKGROUND: Human papillomavirus (HPV) DNA testing is an important method in cervical cancer screening. However, the studies on prevalence and genotype distribution of HPV among women in northeastern Guangdong Province of China are very limited.Entities:
Keywords: Cervical cancer; Genotypes; Human papilloma virus (HPV); Infection; Southern China
Mesh:
Year: 2018 PMID: 29724192 PMCID: PMC5934871 DOI: 10.1186/s12879-018-3105-x
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow chart of study subject inclusion and exclusion
Prevalence of HPV infection in study participants in northeastern Guangdong Province of China
| Single | Double | Multiple | Total | |
|---|---|---|---|---|
| Negative | – | – | – | 23,040 (80.19%) |
| Positive | 4396 (15.30%) | 1104 (3.84%) | 190 (0.66%) | 5690 (19.81%) |
| HR only | 3747 (13.04%) | 621 (2.16%) | 132 (0.46%) | 4500 (15.66%) |
| LR only | 649 (2.26%) | 27 (0.09%) | 2 (0.00%) | 678 (2.36%) |
| HR&LR | – | 456 (1.59%) | 56 (0.20%) | 512 (1.78%) |
HR:high-risk; LR:low-risk
Genotypes of the HPV infection in study participants in northeastern Guangdong Province of China
| HPV Type | Single | Double | Multiple | Total |
|---|---|---|---|---|
| 6 | 136 (2.63%) | 11 (0.21%) | 1 (0.02%) | 148 (2.86%) |
| 11 | 136 (2.63%) | 4 (0.08%) | 1 (0.02%) | 141 (2.72%) |
| 16 | 1121 (21.65%) | 245 (4.73%) | 74 (1.43%) | 1440 (27.81%) |
| 18 | 237 (4.58%) | 60 (1.16%) | 14 (0.27%) | 311 (6.01%) |
| 31 | 143 (2.76%) | 48 (0.93%) | 6 (0.12%) | 197 (3.80%) |
| 33 | 201 (3.88%) | 42 (0.81%) | 13 (0.25%) | 256 (4.94%) |
| 35 | 23 (0.44%) | 7 (0.14%) | 2 (0.04%) | 32 (0.62%) |
| 39 | 136 (2.63%) | 28 (0.54%) | 6 (0.12%) | 170 (3.28%) |
| 42 | 23 (0.44%) | 3 (0.06%) | 0 | 26 (0.5%) |
| 43 | 7 (0.14%) | 2 (0.04%) | 0 | 9 (0.17%) |
| 44 | 66 (1.27%) | 6 (0.12%) | 1 (0.02%) | 73 (1.41%) |
| 45 | 34 (0.66%) | 5 (0.10%) | 2 (0.04%) | 41 (0.79%) |
| 51 | 145 (2.80%) | 40 (0.77%) | 6 (0.12%) | 191 (3.69%) |
| 52 | 662 (12.78%) | 90 (1.74%) | 4 (0.08%) | 756 (14.60%) |
| 53 | 237 (4.58%) | 26 (0.50%) | 1 (0.02%) | 264 (5.10%) |
| 56 | 47 (0.91%) | 8 (0.15%) | 1 (0.02%) | 56 (1.08%) |
| 58 | 534 (10.31%) | 12 (0.23%) | 2 (0.04%) | 548 (10.58%) |
| 59 | 37 (0.71%) | 1 (0.02%) | 0 | 38 (0.73%) |
| 66 | 89 (1.72%) | 5 (0.10%) | 0 | 94 (1.82%) |
| 68 | 141 (2.72%) | 4 (0.08%) | 1 (0.02%) | 146 (2.82%) |
| cp8304 | 281 (5.43%) | 1 (0.02%) | 0 | 282 (5.45%) |
Positivity of HPV infection in study participants in northeastern Guangdong Province of China
| HPV type | 2013( | 2014( | 2015( |
| |||
|---|---|---|---|---|---|---|---|
| n | %(95%CI) | n | %(95%CI) | n | %(95%CI) | ||
| 6 | 38 | 0.38 (0.26–0.50) | 57 | 0.44 (0.33–0.56) | 54 | 0.94 (0.69–1.18) | < 0.001 |
| 11 | 45 | 0.45 (0.32–0.58) | 65 | 0.50 (0.38–0.63) | 38 | 0.66 (0.45–0.87) | 0.085 |
| 16 | 401 | 3.98 (3.60–4.36) | 626 | 4.86 (4.49–5.23) | 404 | 7.00 (6.34–7.66) | < 0.001 |
| 18 | 91 | 0.90 (0.72–1.09) | 136 | 1.06 (0.88–1.23) | 113 | 1.96 (1.60–2.31) | < 0.001 |
| 31 | 54 | 0.54 (0.39–0.68) | 93 | 0.72 (0.58–0.87) | 80 | 1.39 (1.08–1.69) | < 0.001 |
| 33 | 94 | 0.93 (0.74–1.12) | 132 | 1.03 (0.85–1.20) | 89 | 1.54 (1.22–1.86) | 0.001 |
| 35 | 6 | 0.06 (0.01–0.11) | 13 | 0.10 (0.05–0.16) | 20 | 0.35 (0.16–0.50) | < 0.001 |
| 39 | 41 | 0.41 (0.28–0.53) | 115 | 0.89 (0.73–1.06) | 69 | 1.20 (0.91–1.48) | < 0.001 |
| 42 | 4 | 0.04 (0.00–0.08) | 7 | 0.05 (0.01–0.09) | 18 | 0.31 (0.17–0.46) | < 0.001 |
| 43 | 0 | 0.00 | 3 | 0.02 (0.00–0.05) | 7 | 0.12 (0.03–0.21) | < 0.001 |
| 44 | 15 | 0.15 (0.07–0.22) | 32 | 0.25 (0.16–0.33) | 29 | 0.50 (0.32–0.68) | < 0.001 |
| 45 | 22 | 0.22 (0.13–0.31) | 25 | 0.19 (0.12–0.27) | 10 | 0.17 (0.07–0.28) | 0.529 |
| 51 | 10 | 0.10 (0.04–0.16) | 104 | 0.81 (0.65–0.96) | 131 | 2.27 (1.89–2.65) | < 0.001 |
| 52 | 254 | 2.52 (2.21–2.83) | 388 | 3.01 (2.72–3.31) | 248 | 4.30 (3.77–4.82) | < 0.001 |
| 53 | 99 | 0.98 (0.79–1.17) | 165 | 1.28 (1.09–1.48) | 103 | 1.78 (1.44–2.13) | < 0.001 |
| 56 | 14 | 0.14 (0.07–0.21) | 42 | 0.33 (0.23–0.42) | 27 | 0.47 (0.29–0.64) | < 0.001 |
| 58 | 214 | 2.12 (1.84–2.40) | 359 | 2.79 (2.50–3.07) | 200 | 3.46 (2.99–3.94) | < 0.001 |
| 59 | 18 | 0.18 (0.10–0.26) | 29 | 0.23 (0.14–0.31) | 18 | 0.31 (0.17–0.46) | 0.096 |
| 66 | 31 | 0.31 (0.20–0.42) | 54 | 0.42 (0.31–0.53) | 59 | 1.02 (0.76–1.28) | < 0.001 |
| 68 | 89 | 0.88 (0.70–1.07) | 87 | 0.68 (0.53–0.82) | 39 | 0.68 (0.46–0.89) | 0.095 |
| cp8304 | 76 | 0.75 (0.59–0.92) | 117 | 0.91 (0.74–1.07) | 103 | 1.78 (1.44–2.12) | < 0.001 |
| 6/11 | 83 | 0.82 (0.65–1.00) | 120 | 0.93 (0.77–1.10) | 89 | 1.54 (1.22–1.86) | < 0.001 |
| 16/18 | 484 | 4.80 (4.38–5.22) | 755 | 5.86 (5.46–6.27) | 510 | 8.83 (8.10–9.57) | < 0.001 |
| 4vHPV | 567 | 5.625.17–6.07) | 875 | 6.80 (6.36–7.23) | 599 | 10.38 (9.59–11.16) | < 0.001 |
| 9vHPV | 1123 | 11.14 (10.53–11.75) | 1706 | 13.25 (12.66–13.84) | 1080 | 18.71 (17.70–19.71) | < 0.001 |
| HR HPV | 1106 | 10.97 (10.36–11.58) | 1651 | 12.82 (12.24–13.40) | 964 | 16.70 (15.74–17.66) | < 0.001 |
| LR HPV | 169 | 1.68 (1.43–1.93) | 267 | 2.07 (1.83–2.32) | 216 | 3.74 (3.25–4.23) | < 0.001 |
| ANY HPV | 1433 | 14.21 (13.54–14.90) | 2248 | 17.46 (16.80–18.11) | 1499 | 25.97 (24.83–27.10) | < 0.001 |
4vHPV: 4-valent HPV types including HPV 6, 11, 16, and 18; 9vHPV: 9-valent HPV types including HPV 6, 11, 16, 18, 31, 33, 45, 52, and 58; HR HPV: high risk HPV types including HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, and cp8304; LR HPV: low risk HPV types including HPV 6, 11, 42, 43, and 44. Any HPV: any of the 21 HPV types mentioned above
Age distribution in study participants in northeastern Guangdong Province of China
| Age (year) | 2013(N = 10,081) | 2014(N = 12,876) | 2015(N = 5773) | HPV positivity( | ||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | %(95%CI) | |
| 15–19 | 21 | 0.21 | 37 | 0.29 | 30 | 0.51 | 24 | 0.46 (0.28–0.64) |
| 20–29 | 1015 | 10.07 | 1226 | 9.52 | 587 | 10.17 | 627 | 12.10 (11.21–12.99) |
| 30–39 | 2801 | 27.79 | 3407 | 26.46 | 1500 | 25.98 | 1187 | 22.92 (21.78–24.06) |
| 40–49 | 4456 | 44.20 | 5758 | 44.72 | 2578 | 44.65 | 2085 | 40.25 (38.91–41.59) |
| 50–59 | 1366 | 13.55 | 1867 | 14.50 | 817 | 14.15 | 906 | 17.49 (16.46–18.52) |
| 60–69 | 302 | 3.00 | 443 | 3.44 | 194 | 3.35 | 260 | 5.02 (4.43–5.61) |
| 70–79 | 101 | 1.00 | 120 | 0.93 | 50 | 0.86 | 78 | 1.51 (1.18–1.84) |
| 80–89 | 18 | 0.18 | 21 | 0.16 | 18 | 0.32 | 13 | 0.25 (0.11–0.39) |
Fig. 2Positivity of type-specific cervical HPV infection in study participants in northeastern Guangdong Province of China. By age group 4vHPV: 4-valent HPV types including HPV 6, 11, 16, and 18; 9vHPV: 9-valent HPV types including HPV 6, 11, 16, 18, 31, 33, 45, 52, and 58; HR HPV: high risk HPV types including HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66 and 68; LR HPV: low risk HPV types including HPV 6,11, 42, 43, 44 and 81. Any HPV: any of the 21 HPV types mentioned above