Analytical performance evaluation of Anyplex II HPV28 and Euroarray HPV for genotyping of cervical samples

Latsuzbaia, Ardashel; Tapp, Jessica; Nguyen, Trung Vu; Fischer, Marc; Arbyn, Marc; Weyers, Steven; Mossong, Joël

doi:10.1016/j.diagmicrobio.2016.04.011

Cited by 26 publications

(24 citation statements)

References 29 publications

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“…Agreement for genotype-specific detection between EuroArray and Anyplex II HPV28 was overall very good. EuroArray HPV and Anyplex II HPV28 have recently been compared to a partial genotyping test (Aptima, Hologic) and to each other on a cohort of 150 cervical samples collected from European women [22] . While agreement between EuroArray and Anyplex II were generally similar between the previous and present study, agreement was overall slightly higher in the present study and there were particular genotype-specific differences observed which may be due to population differences in prevalence or genomic sequences.…”

Section: Discussionmentioning

confidence: 99%

HPV genotype-specific concordance between EuroArray HPV, Anyplex II HPV28 and Linear Array HPV Genotyping test in Australian cervical samples

Cornall

Poljak

Garland

et al. 2017

Papillomavirus Research

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PurposeTo compare human papillomavirus genotype-specific performance of two genotyping assays, Anyplex II HPV28 (Seegene) and EuroArray HPV (EuroImmun), with Linear Array HPV (Roche).MethodsDNA extracted from clinican-collected cervical brush specimens in PreservCyt medium (Hologic), from 403 women undergoing management for detected cytological abnormalities, was tested on the three assays. Genotype-specific agreement were assessed by Cohen's kappa statistic and Fisher's z-test of significance between proportions.ResultsAgreement between Linear Array and the other 2 assays was substantial to almost perfect (κ = 0.60 − 1.00) for most genotypes, and was almost perfect (κ = 0.81 – 0.98) for almost all high-risk genotypes. Linear Array overall detected most genotypes more frequently, however this was only statistically significant for HPV51 (EuroArray; p = 0.0497), HPV52 (Anyplex II; p = 0.039) and HPV61 (Anyplex II; p=0.047). EuroArray detected signficantly more HPV26 (p = 0.002) and Anyplex II detected more HPV42 (p = 0.035) than Linear Array. Each assay performed differently for HPV68 detection: EuroArray and LA were in moderate to substantial agreement with Anyplex II (κ = 0.46 and 0.62, respectively), but were in poor disagreement with each other (κ = −0.01).ConclusionsEuroArray and Anyplex II had similar sensitivity to Linear Array for most high-risk genotypes, with slightly lower sensitivity for HPV 51 or 52.

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Section: Discussionmentioning

confidence: 99%

HPV genotype-specific concordance between EuroArray HPV, Anyplex II HPV28 and Linear Array HPV Genotyping test in Australian cervical samples

Cornall

Poljak

Garland

et al. 2017

Papillomavirus Research

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“…With regard to the HPV screening test, the following HPV genotypes were tested with Anyplex II HPV28 [ 8 ]. Based on Seegene’s proprietary DPO and TOCE technologies, this homogenous assay performs on real time PCR instruments to detect and differentiate 19 high-risk (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, 82 genotypes) and 9 low-risk (6, 11, 40, 42, 43, 44, 54, 61, 70 genotypes) HPV[ 8 ]. Specimens for anal HPV determination were collected using a swab inserted 3–5 cm into the anus (approximate depth of the squamocolumnar junction), then rotated and placed into a transport tube with 2,5 mL Transport Buffer (guanidine thiocyanate in a Tris buffer).…”

Section: Methodsmentioning

confidence: 99%

Presence of multiple genotypes in subjects with HPV-16 infection is highly associated with anal squamous intraepithelial lesions in HIV-1 infected males

et al. 2017

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ObjectivesThe aim of the study was to determine the prevalence of abnormal cytological findings, high risk (HR)-HPV genotypes and to identify factors associated with an abnormal cytological findings in a cohort of HIV-infected males.Patients and methodsRetrospective observational study on HIV-infected male patients who performed screening in the absence of clinical symptoms. Cytological abnormalities were classified as atypical squamous cells of undetermined significance (ASC-US), low-grade(LSIL) or high high-grade squamous intraepithelial lesion (HSIL). Logistic regression models were used to identify predictors of having LSIL/HSIL.ResultsAmong 875 pts, abnormal cytology findings were observed in 254 (29%, 95% CI: 26.1%-32.1%) subjects: 142 (16%) had LSIL and 49 (6%) HSIL. Overall, 581 (66%, 95%CI: 63.2%-69.5%) subjects had ≥1 HR-HPV type and 269 (31%) had ≥2 HR HPV types. Multivariate logistic regression showed that subjects with multiple HR-HPV genotypes (OR = 1.351, 95%CI: 1.005–2.111) and with HPV-16 type (OR = 2.032, 95%CI: 1.313–3.146) were more likely to have LSIL/HSIL in addition to a lower CD4+/CD8+ ratio, a previous diagnosis of syphilis and a positive viral load. In another multivariate model, the presence of multiple HPV types in subjects with HPV-16 type was associated with the highest adjusted OR of having a LSIL/HSIL (OR = 2.598, 95%CI: 1.460–4.624).ConclusionsIn HIV-infected men, the prevalence of abnormal cytological findings was of 29% and of HR-HPV was 66%. The concomitant presence of HPV-16 and multiple HR genotypes was associated with an increased risk of abnormal cytological findings.These data highlight the importance of screening multiple HPV genotypes in HIV-infected patients.

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“…Squamous cell carcinoma is the most common type of cervical cancer, accounting for ~75% of cases, and involves a series of precancerous lesion stages, namely, low-grade squamous intraepithelial lesion (LSIL) and high-risk squamous intraepithelial lesion (HSIL) ( 4 ). Persistent infection with high-risk HPV can lead to malignant transformation of the normal cervix, although this can take several years to decades ( 5 – 7 ). HPV infection can lead to a tissue inflammatory response, activating the Janus kinase (JAK)/STAT signaling pathway and promoting HR-HPV replication ( 8 ).…”

Section: Introductionmentioning

confidence: 99%

STAT1 expression and HPV16 viral load predict cervical lesion progression

et al. 2020

Oncol Lett

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Cervical cancer is the fourth leading cause of cancer-associated mortality worldwide. However, its underlying molecular mechanisms are unclear. It is important to explore these mechanisms in order to identify novel diagnostic and prognostic biomarkers. The present study determined the association between STAT1 and human papillomavirus (HPV)16 in cervical lesions. STAT1 expression was detected by immunohistochemistry. Quantitative PCR was used to detect HPV16 viral load and STAT1 expression in cervical lesions. The potential associations among STAT1 expression, HPV16 viral load and the severity of cervical lesions in patients were analyzed using receiver operating characteristic (ROC) curves. The Cancer Genome Atlas database was used to analyze STAT1 expression and survival. High STAT1 expression was observed in 10.71 (3/28), 41.18 (14/34), 53.06 (26/49) and 90.00% (27/30) of normal tissue, low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and cervical squamous cell carcinoma samples, respectively. The HPV16 copy number gradually increased with the progression of cervical lesions, with the highest copy number observed in cervical cancer samples. In addition, STAT1 expression was positively correlated with HPV16 viral load. Furthermore, ROC curve analysis demonstrated that the combination of STAT1 expression and HPV16 viral load was able to differentiate between LSIL/HSIL and cervical cancer samples. Bioinformatics analysis revealed that STAT1 expression was associated with improved survival in cervical cancer. Additionally, STAT1 expression was positively associated with the progression of cervical lesions, and HPV16 viral load may affect STAT1 expression. Overall, these findings indicate that STAT1 may be an indicator of the status of cervical lesions.

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Analytical performance evaluation of Anyplex II HPV28 and Euroarray HPV for genotyping of cervical samples

Cited by 26 publications

References 29 publications

HPV genotype-specific concordance between EuroArray HPV, Anyplex II HPV28 and Linear Array HPV Genotyping test in Australian cervical samples

HPV genotype-specific concordance between EuroArray HPV, Anyplex II HPV28 and Linear Array HPV Genotyping test in Australian cervical samples

Presence of multiple genotypes in subjects with HPV-16 infection is highly associated with anal squamous intraepithelial lesions in HIV-1 infected males

STAT1 expression and HPV16 viral load predict cervical lesion progression

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