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HPV genotypes in high grade cervical lesions and invasive cervical carcinoma as detected by two commercial DNA assays, North Carolina, 2001-2006. | LitMetric

AI Article Synopsis

  • The study evaluated the effectiveness of two commercial assays, Linear Array (LA) and LiPA, for detecting and typing HPV in formalin-fixed paraffin-embedded (FFPE) cervical tissue from 299 women diagnosed with cervical disease.
  • Findings indicated that the two assays showed low concordance, particularly in detecting certain HPV types, with the parallel testing algorithm yielding a slightly higher detection rate for HPV types overall.
  • The research developed a reliable testing method for these assays and provided insights into HPV type distribution in cervical lesions before the introduction of the HPV vaccine.

Article Abstract

Background: HPV typing using formalin fixed paraffin embedded (FFPE) cervical tissue is used to evaluate HPV vaccine impact, but DNA yield and quality in FFPE specimens can negatively affect test results. This study aimed to evaluate 2 commercial assays for HPV detection and typing using FFPE cervical specimens.

Methods: Four large North Carolina pathology laboratories provided FFPE specimens from 299 women ages18 and older diagnosed with cervical disease from 2001 to 2006. For each woman, one diagnostic block was selected and unstained serial sections were prepared for DNA typing. Extracts from samples with residual lesion were used to detect and type HPV using parallel and serial testing algorithms with the Linear Array and LiPA HPV genotyping assays.

Findings: LA and LiPA concordance was 0.61 for detecting any high-risk (HR) and 0.20 for detecting any low-risk (LR) types, with significant differences in marginal proportions for HPV16, 51, 52, and any HR types. Discordant results were most often LiPA-positive, LA-negative. The parallel algorithm yielded the highest prevalence of any HPV type (95.7%). HR type prevalence was similar using parallel (93.1%) and serial (92.1%) approaches. HPV16, 33, and 52 prevalence was slightly lower using the serial algorithm, but the median number of HR types per woman (1) did not differ by algorithm. Using the serial algorithm, HPV DNA was detected in >85% of invasive and >95% of pre-invasive lesions. The most common type was HPV16, followed by 52, 18, 31, 33, and 35; HPV16/18 was detected in 56.5% of specimens. Multiple HPV types were more common in lower grade lesions.

Conclusions: We developed an efficient algorithm for testing and reporting results of two commercial assays for HPV detection and typing in FFPE specimens, and describe HPV type distribution in pre-invasive and invasive cervical lesions in a state-based sample prior to HPV vaccine introduction.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315505PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0034044PLOS

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