| Literature DB >> 34588814 |
Lixin Wang1, Gang Chen1, Jingui Jiang1.
Abstract
OBJECTIVE: Human papillomavirus (HPV) infection is the risk factor for cervical cancer. Consequently, HPV DNA testing is an essential method for cervical cancer screening. Yet, data on the prevalence and genotype distribution of HPV and cervical cytological among women in northern Jiangsu Province of China are very limited.Entities:
Keywords: cervical cancer; human papillomavirus; infection; northern Jiangsu Province; prevalence and genotype distribution
Year: 2021 PMID: 34588814 PMCID: PMC8473932 DOI: 10.2147/CMAR.S332769
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Figure 1The flow-chart of exclusion criteria.
Distribution of HPV Infection in Different Age Groups
| Age (Year) | n | Normal | Percentage (%) | P value for Trend |
|---|---|---|---|---|
| 15–19 | 60 | 1007 | 0.16 | 0.000 |
| 20–29 | 1365 | 2922 | 3.60 | 0.013 |
| 30–39 | 1760 | 4430 | 4.65 | 0.012 |
| 40–49 | 3655 | 7960 | 9.66 | 0.002 |
| 50–59 | 2016 | 4370 | 5.33 | 0.011 |
| 60–69 | 1092 | 2704 | 2.89 | 0.114 |
| ≥70 | 1002 | 2157 | 2.69 | 0.043 |
| Total | 10,950 | 25,550 | 28.95 |
Figure 2HPV infection rates by age.
Prevalence of HPV Infection in Study Participants from Northeastern Jiangsu Province of China
| Single | Double | Multiple | Total | |
|---|---|---|---|---|
| Negative | 36,500(96.49%) | |||
| Positive | 7300(19.30%) | 2786(7.37%) | 864(2.28%) | 10,950(28.95%) |
| LR only | 918(2.43%) | 251(0.66%) | 89(0.24%) | 1258(3.33%) |
| HR only | 6382(16.87%) | 1673(4.42%) | 578(1.53%) | 8633(22.8%) |
| HR and LR | 862(2.29%) | 197(0.52%) | 1059(2.80%) |
Abbreviations: HR, high-risk; LR, low-risk.
Genotypes of the HPV Infection in Study Participants from Northeastern Jiangsu Province of China
| HPV Type | Single | Double | Multiple | Total |
|---|---|---|---|---|
| LR-HPV | ||||
| 6(0.06%) | 162(1.64%) | 22(0.22%) | 6(0.06%) | 190(1.92%) |
| 11(0.11%) | 96(0.97%) | 79(0.80%) | 25(0.25%) | 200(2.02%) |
| 42(0.42%) | 173(1.75%) | 34(0.34%) | 14(0.14%) | 221(2.23%) |
| 43(0.43%) | 108(1.09%) | 53(0.54%) | 8(0.08%) | 169(1.71%) |
| 81(0.82%) | 267(2.70%) | 37(0.37%) | 27(0.27%) | 331(3.35%) |
| 83(0.84%) | 112(1.13%) | 26(0.26%) | 9(0.09%) | 147(1.49%) |
| HR-HPV | ||||
| 16(0.16%) | 691(6.99%) | 379(3.83%) | 179(1.81%) | 1249(12.63%) |
| 18(0.18%) | 215(2.17%) | 43(0.43%) | 1(0.01%) | 259(2.62%) |
| 31(0.31%) | 149(1.51%) | 24(0.24%) | 0(0.00%) | 173(1.75%) |
| 33(0.33%) | 480(4.85%) | 79(0.80%) | 42(0.42%) | 601(6.08%) |
| 35(0.35%) | 124(1.25%) | 22(0.22%) | 19(0.19%) | 165(1.67%) |
| 39(0.39%) | 73(0.74%) | 14(0.14%) | 2(0.02%) | 89(0.90%) |
| 45(0.45%) | 53(0.54%) | 18(0.18%) | 9(0.09%) | 80(0.81%) |
| 51(0.52%) | 183(1.85%) | 25(0.25%) | 10(0.10%) | 218(2.20%) |
| 52(0.53%) | 1621(16.39%) | 337(3.41%) | 112(1.13%) | 2070(20.93%) |
| 53(0.54%) | 687(6.95%) | 226(2.28%) | 43(0.43%) | 956(9.67%) |
| 56(0.57%) | 584(5.90%) | 183(1.85%) | 15(0.15%) | 782(7.91%) |
| 58(0.59%) | 1049(10.61%) | 257(2.60%) | 121(1.22%) | 1427(14.43%) |
| 59(0.60%) | 84(0.85%) | 9(0.09%) | 8(0.08%) | 101(1.02%) |
| 66(0.67%) | 42(0.42%) | 11(0.11%) | 10(0.10%) | 63(0.64%) |
| 68(0.69%) | 109(1.10%) | 10(0.10%) | 3(0.03%) | 122(1.23%) |
| 73(0.74%) | 181(1.83%) | 16(0.16%) | 4(0.04%) | 201(2.03%) |
| 82(0.83%) | 57(0.58%) | 20(0.20%) | 0(0.00%) | 77(0.78%) |
Figure 3HR-HPV infection rates by genotypes.
HPV Genotype Distribution in Different Cytological Result
| HPV Type | LSIL (4531) No. (22.90%) | ASCUS (8923) No. (45.09%) | ASC-H (3726) No. (18.83%) | HSIL (2610) No. (13.19%) |
|---|---|---|---|---|
| LR | ||||
| 6 | 173(1.75%) | 37(0.37%) | 221(2.23%) | 8(0.08%) |
| 11 | 53(0.54%) | 331(3.35%) | 190(1.92%) | 6(0.06%) |
| 42 | 147(1.49%) | 27(0.27%) | 14(0.14%) | 96(0.97%) |
| 43 | 25(0.25%) | 108(1.09%) | 26(0.26%) | 34(0.34%) |
| 81 | 169(1.71%) | 162(1.64%) | 112(1.13%) | 79(0.80%) |
| 83 | 267(2.70%) | 200(2.02%) | 9(0.09%) | 22(0.22%) |
| HR | ||||
| 16 | 691(6.99%) | 2070(20.93%) | 1249(12.63%) | 259(2.62%) |
| 18 | 10(0.10%) | 43(0.43%) | 9(0.09%) | 80(0.81%) |
| 31 | 584(5.90%) | 101(1.02%) | 1(0.01%) | 0(0.00%) |
| 33 | 956(9.67%) | 337(3.41%) | 121(1.22%) | 22(0.22%) |
| 35 | 181(1.83%) | 379(3.83%) | 149(1.51%) | 3(0.03%) |
| 39 | 42(0.42%) | 11(0.11%) | 18(0.18%) | 173(1.75%) |
| 45 | 25(0.25%) | 782(7.91%) | 4(0.04%) | 183(1.85%) |
| 51 | 226(2.28%) | 63(0.64%) | 2(0.02%) | 79(0.80%) |
| 52 | 215(2.17%) | 1621(16.39%) | 601(6.08%) | 179(1.81%) |
| 53 | 218(2.20%) | 1427(14.43%) | 257(2.60%) | 112(1.13%) |
| 56 | 165(1.67%) | 14(0.14%) | 43(0.43%) | 183(1.85%) |
| 58 | 77(0.78%) | 19(0.19% | 480(4.85%) | 687(6.95%) |
| 59 | 84(0.85%) | 1049(10.61%) | 122(1.23%) | 53(0.54%) |
| 66 | 73(0.74%) | 20(0.20%) | 16(0.16%) | 42(0.42%) |
| 68 | 10(0.10%) | 9(0.09%) | 57(0.58%) | 0(0.00%) |
| 73 | 16(0.16%) | 24(0.24%) | 15(0.15%) | 109(1.10%) |
| 82 | 124(1.25%) | 89(0.90%) | 10(0.10%) | 201(2.03%) |
Figure 4HR-HPV genotype distribution in different cytological result.