Comparison of three different PCR methods for quantifying human papillomavirus type 16 DNA in cervical scrape specimens.
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ABSTRACT:
SUBMITTER: Hesselink AT
PROVIDER: S-EPMC1234115 | biostudies-literature | 2005 Sep
REPOSITORIES: biostudies-literature
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Comparison of three different PCR methods for quantifying human papillomavirus type 16 DNA in cervical scrape specimens.
Hesselink A T AT van den Brule A J C AJ Groothuismink Z M A ZM Molano M M Berkhof J J Meijer C J L M CJ Snijders P J F PJ
Journal of clinical microbiology 20050901 9
We compared real-time LightCycler and TaqMan assays and the GP5+/6+ PCR/enzyme immunoassay (EIA) to assess the human papillomavirus type 16 (HPV16) load in cervical scrape specimens. Both real-time PCR assays determined the HPV16 load in scrape specimens similarly. The level of agreement between these assays and the GP5+/6+ PCR/EIA was low (P = 0.004), suggesting that the latter method is not suited for quantifying HPV16 DNA. ...[more]
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Project description:We compared two consensus primer PCR human papillomavirus (HPV) genotyping methods for the detection of individual HPV genotypes and carcinogenic HPV genotypes as a group, using a stratified sample of enrollment cervical specimens from sexually active women participating in the NCI/Costa Rica HPV16/18 Vaccine Efficacy Trial. For the SPF(10) method, DNA was extracted from 0.1% of the cervical specimen by using a MagNA Pure LC instrument, a 65-bp region of the HPV L1 gene was targeted for PCR amplification by using SPF(10) primers, and 25 genotypes were detected by reverse-line blot hybridization of the amplicons. For the Linear Array (LA) method, DNA was extracted from 0.5% of the cervical specimen by using an MDx robot, a 450-bp region of the HPV L1 gene was targeted for PCR amplification by using PGMY09/11 L1 primers, and 37 genotypes were detected by reverse-line blot hybridization of the amplicons. Specimens (n = 1,427) for testing by the LA method were randomly selected from strata defined on the basis of enrollment test results from the SPF(10) method, cytology, and Hybrid Capture 2. LA results were extrapolated to the trial cohort (n = 5,659). The LA and SPF(10) methods detected 21 genotypes in common; HPV16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, -66, -68, and -73 were considered the carcinogenic HPV genotypes. There was no difference in the overall results for grouped detection of carcinogenic HPV by the SPF(10) and LA methods (35.3% versus 35.9%, respectively; P = 0.5), with a 91.8% overall agreement and a kappa value of 0.82. In comparisons of individual HPV genotypes, the LA method detected significantly more HPV16, HPV18, HPV39, HPV58, HPV59, HPV66, and HPV68/73 and less HPV31 and HPV52 than the SPF(10) method; inclusion of genotype-specific testing for HPV16 and HPV18 for those specimens testing positive for HPV by the SPF(10) method but for which no individual HPV genotype was detected abrogated any differences between the LA and SPF(10) methods. The LA method detected more carcinogenic-HPV-genotype infections per specimen than the SPF(10) method (P < 0.001). In conclusion, the LA method and the SPF(10) method with HPV16 and HPV18 genotype-specific detection among ungenotyped HPV-positive specimens were comparable for detection of HPV16 and HPV18, the two HPV genotypes targeted by current prophylactic HPV vaccines. Both approaches are suitable for monitoring the impact of HPV16/18 vaccines in clinical trials.
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Project description:AimsPersistent infection indicated by detection of human papillomavirus 16 (HPV-16) on repeat testing over a period of time poses the greatest cervical cancer risk. However, variants of HPV-16, HPV-31 and HPV-33 may share several short sequence homologies in the hypervariable L1 gene commonly targeted for HPV genotyping. The purpose of this study was to introduce a robust laboratory procedure to validate HPV-16 detected in clinical specimens, using the GenBank sequence database as the standard reference for genotyping.MethodsA nested PCR with two pairs of consensus primers was used to amplify the HPV DNA released in crude proteinase K digest of the cervicovaginal cells in liquid-based Papanicolaou cytology specimens. The positive nested PCR products were used for direct automated DNA sequencing.ResultsA 48-base sequence downstream of the GP5+ priming site, or a 34-base sequence upstream thereof, was needed for unequivocal validation of an HPV-16 isolate. Selection of a 45-base, or shorter, sequence immediately downstream of the GP5+ site for Basic Local Alignment Search Tool sequence analysis invariably led to ambiguous genotyping results.ConclusionsDNA sequence analysis may be used for differential genotyping of HPV-16, HPV-31 and HPV-33 in clinical specimens. However, selection of the signature sequence for Basic Local Alignment Search Tool algorithms is crucial to distinguish certain HPV-16 variants from other closely related HPV genotypes.
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Project description:Organismal fitness is relevant in many contexts in biology. The most meaningful experimental measure of fitness is competitive fitness, when two or more entities (e.g., genotypes) are allowed to compete directly. In theory, competitive fitness is simple to measure: an experimental population is initiated with the different types in known proportions and allowed to evolve under experimental conditions to a predefined endpoint. In practice, there are several obstacles to obtaining robust estimates of competitive fitness in multicellular organisms, the most pervasive of which is simply the time it takes to count many individuals of different types from many replicate populations. Methods by which counting can be automated in high throughput are desirable, but for automated methods to be useful, the bias and technical variance associated with the method must be (a) known, and (b) sufficiently small relative to other sources of bias and variance to make the effort worthwhile. The nematode Caenorhabditis elegans is an important model organism, and the fitness effects of genotype and environmental conditions are often of interest. We report a comparison of three experimental methods of quantifying competitive fitness, in which wild-type strains are competed against GFP-marked competitors under standard laboratory conditions. Population samples were split into three replicates and counted (1) "by eye" from a saved image, (2) from the same image using CellProfiler image analysis software, and (3) with a large particle flow cytometer (a "worm sorter"). From 720 replicate samples, neither the frequency of wild-type worms nor the among-sample variance differed significantly between the three methods. CellProfiler and the worm sorter provide at least a tenfold increase in sample handling speed with little (if any) bias or increase in variance.
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Project description:BackgroundQuantitative methylation-specific PCR (qMSP) analysis for determining the methylation status of (candidate) tumor suppressor genes has potential as objective and valuable test to triage high-risk human papillomavirus (hrHPV) positive women in cervical screening. Particularly combined methylation analysis of a panel of genes shows most promising clinical performance, with sensitivity levels that equal or exceed that of cytology. However, the wide application of such methylation marker panels is hampered by the lack of effective multiplex assays allowing simultaneous methylation detection of various targets in a single reaction. Here, we designed and analyzed a multiplex qMSP assay for three genes whose methylation was previously found to be informative for cervical (pre)cancer (i.e. CADM1, MAL and hsa-miR-124-2) as well as a reference gene ?-actin. Based on our experience, we discuss the optimization of the parameters that provide a practical approach towards multiplex qMSP design.MethodsPrimers and PCR reagents were optimized for multiplex qMSP purposes and the resulting assay was analytically validated on serial dilutions of methylated DNA in unmethylated DNA, and compared with singleplex counterparts on hrHPV-positive cervical scrapings.ResultsUpon optimization, including primer redesign and primer limiting assays, the multiplex qMSP showed the same analytical performance as the singleplex qMSPs. A strong correlation between the obtained normalized ratios of the singleplex and multiplex qMSPs on cervical scrapes was found for all three markers: CADM1 (R(2) = 0.985), MAL (R(2) = 0.986) and hsa-miR-124-2 (R(2) = 0.944).ConclusionMultiplex qMSP offers a promising approach for high-throughput diagnostic analysis of the methylation status of multiple genes, which after proper design and validation can be equally specific, sensitive and reproducible as its singleplex versions.
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