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Two commercial HPV tests target the same 65 bp fragment of the human papillomavirus genome (designated SPF10): the original HPV SPF10 PCR-DEIA-LiPA25 system, version 1, (LiPA25) and the INNO-LiPA HPV Genotyping Extra (INNO-LiPA). The original SPF10 LiPA25 system was designed to have high analytical sensitivity and applied in HPV vaccine and epidemiology studies worldwide. But due to apparent similarities, this test can be easily confused with INNO-LiPA, a more recent assay of which the intended use, i.e., epidemiological or clinical, is currently unclear. The aim was to compare the analytical sensitivity of SPF10 LiPA25 to that of INNO-LiPA on the level of general HPV detection and genotyping. HPV testing by both assays was performed on the same DNA isolated from cervical swab (n = 365) and biopsy (n = 42) specimens. In cervical swabs, SPF10 LiPA25 and INNO-LiPA identified 35.3% and 29.3% multiple infections, 52.6% and 51.5% single infections, and no HPV type in 12.1% and 19.2%, respectively. Genotyping results were 64.7% identical, 26.0% compatible and 9.3% discordant between both methods. SPF10 LiPA25 detected significantly more genotypes (p < 0.001). The higher analytical sensitivity of SPF10 LiPA25 was confirmed by the MPTS123 genotyping assay. HPV positivity by the general probes in SPF10 DEIA was significantly higher (87.9%) than by those on INNO-LiPA (77.0%) (kappa = 0.592, p < 0.001). In cervical biopsies, SPF10 LiPA25 and INNO-LiPA identified 21.4% and 9.5% multiple types, 76.2% and 81.0% single types, and no type in 2.4% and 9.5%, respectively. Between both tests, the identification of genotypes was 76.3% identical, 14.3% compatible and 9.5% discordant. Overall, significantly more genotypes were detected by SPF10 LiPA25 (kappa = 0.853, p = 0.022). HPV positivity was higher by the SPF10 DEIA (97.6%) than by the INNO-LiPA strip (92.9%). These results demonstrate that SPF10 LiPA25 is more suitable for HPV genotyping in epidemiologic and vaccine-related studies, due to its higher analytical sensitivity., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Human papillomavirus (HPV) epidemiological and vaccine studies require highly sensitive HPV detection and genotyping systems. To improve HPV detection by PCR, the broad-spectrum L1-based SPF10 PCR DNA enzyme immunoassay (DEIA) LiPA system and a novel E6-based multiplex type-specific system (MPTS123) that uses Luminex xMAP technology were combined into a new testing algorithm. To evaluate this algorithm, cervical swabs (n = 860) and cervical biopsy specimens (n = 355) were tested, with a focus on HPV types detected by the MPTS123 assay (types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68, 6, and 11). Among the HPV-positive samples, identifications of individual HPV genotypes were compared. When all MPTS123 targeted genotypes were considered together, good overall agreement was found (κ = 0.801, 95% confidence interval [CI], 0.784 to 0.818) with identification by SPF10 LiPA, but significantly more genotypes (P < 0.0001) were identified by the MPTS123 PCR Luminex assay, especially for HPV types 16, 35, 39, 45, 58, and 59. An alternative type-specific assay was evaluated that is based on detection of a limited number of HPV genotypes by type-specific PCR and a reverse hybridization assay (MPTS12 RHA). This assay showed results similar to those of the expanded MPTS123 Luminex assay. These results confirm the fact that broad-spectrum PCRs are hampered by type competition when multiple HPV genotypes are present in the same sample. Therefore, a testing algorithm combining the broad-spectrum PCR and a range of type-specific PCRs can offer a highly accurate method for the analysis of HPV infections and diminish the rate of false-negative results and may be particularly useful for epidemiological and vaccine studies.

Background: Isolates of HPV16 comprise six variants: European (Eu), Asian (As), Asian-American (AA), North American (NA), African-1 (AF1), and African-2 (AF2) with different carcinogenic potentials. Highly reliable automatable techniques for HPV variant genotyping would be helpful to confirm the role of variants in cervical cancer in large epidemiological studies., Objective: To validate the performance of a novel assay for identification of HPV16 variants., Study Design: The test is a multiplex PCR amplifying four small fragments from the E6 open reading frame (ORF). Variants are identified in a reverse hybridization assay with variant specific probes. The novel assay was compared to sequence analysis of the E6 ORF in 68 clinical samples. In addition, HPV16 variant distribution was studied in 218 cervical samples from women with normal cytology, squamous cell carcinoma (SCC) and adenocarcinoma of countries in Africa, Asia and South-America., Results: There was 95.6% agreement between the test and sequencing. Analysis of the clinical panel including 218 positive samples revealed worldwide distribution patterns of HPV16 variants. Finally, a threefold increased risk for SCC with grouped Eu and As variants in South-American countries as compared to controls was found, although the association was not statistically significant., Conclusions: The novel assay is a reliable and simple technique, distribution patterns of HPV16 variants in different world regions and disease associations could be established and it may be useful in further epidemiological studies investigating the role of HPV16 variants in cervical carcinogenesis., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Human papillomaviruses (HPVs) comprise more than 100 genotypes. The mucosal types can be divided into high-risk and low-risk (LR) types depending on the associated disease risk. HPV infection is mainly diagnosed by molecular methods, since reliable serological tools are not available and culture of the virus is not possible. Accurate molecular diagnostic techniques that can be used to inform patient management and follow-up after treatment are now available for detection and identification of HPV. The diagnosis of HPV infections in patients at risk of disease in a clinical setting requires a different approach from that used for epidemiological studies, vaccination trials and natural history studies. This review describes the different molecular methods available for HPV detection and genotyping and their possible clinical utility.

Human papillomavirus infections are associated with the development of cervical neoplasia. Human papillomavirus is a group of heterogeneous viruses, comprising many genotypes, which can be divided into high-risk and low-risk types, depending on their association with disease. Therefore, accurate molecular diagnostic tools are required for detection and identification of human papillomavirus. Monitoring of human papillomavirus infection is necessary for adequate patient management and follow-up during treatment. This review describes the different molecular methods available for human papillomavirus detection and identification of genotypes.