The detection of high-risk human papillomaviruses (HPVs) is crucial for early screening and preventing cervical cancer. However, the substantial workload in high-level hospitals or the limited resources in primary-level hospitals hinder widespread testing. To address this issue, we explored a sample-to-answer genotyping system and assessed its performance by comparing it with the traditional real-time polymerase chain reaction (PCR) method conducted manually. Samples randomly selected from those undergoing routine real-time PCR detection were re-analyzed using the fully automatic GenPlex® system. This system identifies 24 types of HPV through a combination of ordinary PCR and microarray-based reverse hybridization. Inconsistent results were confirmed by repeated testing with both methods, and the κ concordance test was employed to evaluate differences between the two methods. A total of 365 samples were randomly selected from 7259 women. According to real-time PCR results, 76 were high-risk HPV negative, and 289 were positive. The GenPlex® system achieved a κ value greater than 0.9 (ranging from 0.920 to 1.000, p < 0.0001) for 14 types of high-risk HPV, except HPV 51 (κ = 0.697, p < 0.0001). However, the inconsistent results in high-risk HPV 51 were revealed to be false positive in real-time PCR by other method. When counting by samples without discriminating the high-risk HPV type, the results of both methods were entirely consistent (κ = 1.000, p < 0.0001). Notably, the GenPlex® system identified more positive cases, with 73 having an HPV type not covered by real-time PCR, and 20 potentially due to low DNA concentration undetectable by the latter. Compared with the routinely used real-time PCR assay, the GenPlex® system demonstrated high consistency. Importantly, the system's advantages in automatic operation and a sealed lab-on-chip format respectively reduce manual work and prevent aerosol pollution. For widespread use of GenPlex® system, formal clinical validation following international criteria should be warranted.
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http://dx.doi.org/10.1002/jmv.29496 | DOI Listing |
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