| Literature DB >> 25279452 |
Sin Hang Lee1, Jessica S Vigliotti2, Veronica S Vigliotti3, William Jones4.
Abstract
The newly gained knowledge of the viral etiology in cervical carcinogenesis has prompted industrial interests in developing virology-based tools for cervical cancer prevention. Due to the long incubation period from viral infection to developing an invasive cancer, a process whose outcome is influenced by numerous life-style and genetic factors, the true efficacy of the genotype-specific human papillomavirus (HPV) vaccines in cervical cancer prevention cannot be determined for another 30 years. Most HPV DNA test kits designed to replace the traditional Papanicolaou (Pap) smears for precancer detection lack the analytical sensitivity and specificity to comprehensively detect all potentially carcinogenic HPVs and to perform reliable genotyping. The authors implemented the classic nested PCR and Sanger DNA-sequencing technology for routine HPV testing. The results showed a true negative HPV PCR invariably indicates the absence of precancerous cells in the cytology samples. However, 80.5% of single positive HPV-16 tests and 97.3% of single positive HPV-18 tests were associated with a negative or a largely self-reversible Pap cytology. Routine sensitive and reliable HPV type-specific or perhaps even variant-specific methods are needed to address the issues of persistence of HPV infection if a virology-based primary cervical screen is used to replace the Pap cytology screening paradigm.Entities:
Year: 2014 PMID: 25279452 PMCID: PMC4276957 DOI: 10.3390/cancers6042072
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Segment of the computer-generated base-calling electropherogram showing a DNA sequence of the GP6/MY11 PCR amplicon of a European or Asian-American subtype of HPV-18 in a cervicovaginal cell suspension, and the BLAST validation report from the GenBank. The sequence CCATT on the far right represents the 3' end of the MY11 primer. Note the sequence GCAAACA immediately downstream of the MY11 primer, characteristic of the European or Asian-American subtype of HPV-18.
Figure 2Segment of the computer-generated base-calling electropherogram showing a DNA sequence of the GP6/MY11 PCR amplicon of an African subtype of HPV-18 in a cervicovaginal cell suspension, and the BLAST validation report from the GenBank. The sequence CCATT on the far right represents the 3' end of the MY11 primer. Note the sequence GCAGATA immediately downstream of the MY11 primer, characteristic of the African subtype of HPV-18.
Results of HPV test and Pap cytology on 8461 split cervicovaginal cell samples ordered by private gynecologists in Milford, CT, USA.
| HPV Genotype | No. PAP-Negative | No. PAP-ASCUS | No. PAP-LSIL | No. PAP-HSIL(%) | [(PAP− cases)/(HPV+ cases)] = (%) |
|---|---|---|---|---|---|
| 17 | 7 | 6 | 0 | 17/30 (56.7) | |
| 1 | 1 | 1 | 0 | 1/3 (33.3) | |
| 55 | 16 | 20 | 22(19.5) | 55/113 (48.7) | |
| 19 | 6 | 11 | 1(2.7) | 19/37 (51.4) | |
| 0 | 0 | 3 | 0 | 0/3 (0) | |
| 15 | 11 | 7 | 5(13.2) | 15/38 (39.5) | |
| 5 | 0 | 0 | 0 | 5/5 (100) | |
| 10 | 4 | 2 | 3(15.8) | 10/19 (52.6) | |
| 13 | 2 | 6 | 2(8.7) | 13/23 (56.5) | |
| 17 | 4 | 8 | 0 | 17/29 (58.6) | |
| 3 | 2 | 0 | 0 | 3/5 (60.0) | |
| 6 | 3 | 0 | 0 | 6/9 (33.3) | |
| 22 | 5 | 3 | 1(3.2) | 22/31 (71.0) | |
| 3 | 0 | 3 | 0 | 3/6 (50.0) | |
| 31 | 7 | 12 | 4(7.4) | 31/54 (57.4) | |
| 5 | 1 | 4 | 0 | 5/10 (50.0) | |
| 40 | 2 | 2 | 0 | 40/44 (90.9) | |
| 4 | 2 | 0 | 0 | 4/6 (66.7) | |
| 9 | 4 | 5 | 0 | 9/18 (50.0) | |
| 15 | 4 | 4 | 0 | 15/23 (65.2) | |
| 18 | 3 | 8 | 1 (3.3) | 18/30 (60.0) | |
| 19 | 4 | 1 | 0 | 19/24 (79.2) | |
| 19 | 0 | 2 | 0 | 19/21 (90.5) | |
| 2 | 3 | 15 | 0 | 2/20 (10.0) | |
| 5 | 3 | 1 | 0 | 5/9 (55.6) | |
| 2 | 0 | 1 | 0 | 2/3 (66.7) | |
| 2 | 1 | 1 | 0 | 2/4 (50.0) | |
| 11 | 0 | 2 | 0 | 11/13 (84.6) | |
| 2 | 0 | 0 | 0 | 2/2 (100) | |
| 17 | 0 | 0 | 0 | 17/17 (100) | |
| 15 | 6 | 6 | 0 | 15/27 (55.6) | |
| 1 | 1 | 0 | 0 | 1/2 (50.0) | |
| 16 | 3 | 7 | 0 | 16/26 (61.5) | |
| 2 | 1 | 0 | 0 | 2/3 (66.7) | |
| 12 | 0 | 0 | 0 | 12/12 (100) | |
| 1 | 0 | 1 | 0 | 1/2 (50.0) | |
| 1 | 1 | 1 | 0 | 1/3 (33.3) | |
| 1 | 0 | 1 | 0 | 1/2 (50.0) | |
| 1 | 0 | 0 | 0 | 1/1 (100) | |
| 1 | 0 | 0 | 0 | 1/1 (100) | |
| Mixed | 18 | 17 | 5 | 2 (4.8) | 18/42 (42.9) |
| HPV+ cases Subtotal | 456 | 124 | 149 | 41 | 456/770 (59.2) |
| HPV− cases (PAP− %) | 7545 | 146 | 0 | 0 | 7545/7691 (98.1%) (<LSIL 100%) |
| Total No. | 8001 | 270 | 149 | 41 | 8461 |
Note: The 40 HPV genotypes found in a Southern Connecticut female population in boldfaced numbers are listed in the left column and the 13 high-risk HPV genotypes are underlined. The Pap cytology results classified as Negative, ASCUS, LSIL and HSIL of the split samples of each HPV genotype-positive cases are tabulated on the right to each HPV genotype. The total number of samples positive for each HPV genotype is shown as denominator in the far-right column with the number of Pap negative cases listed as numerator followed by a % in (). The overall % of specimens positive for HPV is 9.1% (770/8461); and 59.2% (456/770) of the HPV-positive samples were negative for Pap cytology. Of the 37 HPV-18 isolates, 30 belonged to the European/Asian American subtypes (Figure 1) and 7 to the African subtype (Figure 2).
HPV genotypes in 41 patients with HSIL cytology and their colposcopic biopsy results.
| HPV Genotype | Four-Quadrant Biopsies | |||||
|---|---|---|---|---|---|---|
| Negative | CIN1 | CIN2 | CIN3 | No Biopsies * | Total | |
| 16 | 0 | 4 | 4 | 11 | 3 | 22 |
| 18 | 0 | 1 | 0 | 0 | 0 | 1 |
| 31 | 1 | 2 | 1 | 1 | 0 | 5 |
| 33 | 1 | 0 | 1 | 1 | 0 | 3 |
| 35 | 0 | 0 | 1 | 1 | 0 | 2 |
| 45 | 0 | 1 | 0 | 0 | 0 | 1 |
| 52 | 0 | 0 | 2 | 2 | 0 | 4 |
| 59 | 0 | 0 | 1 | 0 | 0 | 1 |
| Mixed | 1 | 1 | 0 | 0 | 0 | 2 |
| Total | 3 | 9 | 10 | 16 | 3 | 41 |
* Patients moved out of area or refused consent to biopsy.
Genotype-specific HPV persistent infections correlated with follow-up cytology and biopsy.
| HPV Type | Initial Cytology Classification | Follow-up Cytology | Biopsy Result | Patients TOTAL | |||||
|---|---|---|---|---|---|---|---|---|---|
| NEG | ASC | LSIL | NC | REG | PRO | CIN3 | <CIN3 | ||
| 6 | 8 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 8 |
| 11 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 16 | 42 | 14 | 7 | 34 | 6 | 23 | 8 | 17 | 63 |
| 18 | 8 | 4 | 2 | 5 | 6 | 3 | 0 | 2 | 14 |
| 31 | 8 | 0 | 1 | 2 | 1 | 6 | 1 | 2 | 9 |
| 33 | 2 | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 4 |
| 35 | 3 | 2 | 4 | 3 | 5 | 1 | 0 | 1 | 9 |
| 39 | 5 | 2 | 0 | 2 | 2 | 3 | 0 | 2 | 7 |
| 45 | 10 | 0 | 2 | 6 | 0 | 6 | 3 | 5 | 12 |
| 51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 52 | 14 | 3 | 1 | 11 | 0 | 7 | 3 | 4 | 18 |
| 53 | 1 | 0 | 3 | 2 | 0 | 2 | 0 | 2 | 4 |
| 54 | 18 | 2 | 2 | 18 | 3 | 1 | 0 | 2 | 22 |
| 55 | 3 | 2 | 0 | 3 | 1 | 1 | 0 | 0 | 5 |
| 56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 58 | 1 | 1 | 3 | 2 | 2 | 1 | 0 | 2 | 5 |
| 59 | 9 | 1 | 2 | 8 | 2 | 2 | 0 | 1 | 12 |
| 61 | 6 | 0 | 0 | 5 | 0 | 1 | 0 | 0 | 6 |
| 62 | 2 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 3 |
| 66 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 2 |
| 68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 70 | 8 | 0 | 0 | 6 | 0 | 2 | 0 | 2 | 8 |
| 72 | 4 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 4 |
| 73 | 2 | 0 | 4 | 4 | 1 | 1 | 0 | 1 | 6 |
| 81 | 4 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 4 |
| 83 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 84 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 |
| Total | 162 | 33 | 34 | 136 | 30 | 63 | 15 | 44 | 229 |
Note: NC = no change in class; REG = regress to lower class; PRO = progress to higher class.