Related Experiment Video
Updated: Nov 7, 2025

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis
Published on: June 14, 2019
Evaluation of the Roche MagNA Pure 96 nucleic acid extraction platform for the Seegene Anyplex II HPV28 detection
S Atchison1,2, H Shilling1,2, P Balgovind1,2
1Centre for Women's Infectious Diseases, The Royal Women's Hospital, Melbourne, Vic, Australia.
Aim:
Validate the Roche, MagNAPure96 (MP96) nucleic acid extraction platform for Seegene Anyplex II HPV28 (Anyplex28) detection of Human Papillomavirus.
Methods And Results:
Comparisons were made for Anyplex28 genotyping from 115 cervical samples extracted on the Hamilton, STARlet and the MP96. Two DNA concentrations were used for the MP96, one matched for sample input to the STARlet and another 5× concentration (laboratory standard). Agreement of HPV detection was 89·8% (κ = 0·798; P = 0·007), with HPV detected in 10 more samples for the MP96. There was a high concordance of detection for any oncogenic HPV genotype (κ = 0·77; P = 0·007) and for any low-risk HPV genotype (κ = 0·85; P = 0·008). DNA extracted at laboratory standard had a lower overall agreement 85·2% (κ = 0·708; P < 0·001), with 17/115 discordant positive samples that tested negative after STARlet extraction. Of the discordant genotypes, 72·7% were detected in the lowest signal range for Anyplex28 ('+').
Conclusions:
MP96 performed with high concordance to STARlet, although produced DNA with a higher analytical sensitivity on the Anyplex28.
Significance And Impact Of The Study:
This analysis supports the use of samples extracted on the MP96 for HPV genotyping using the Anyplex28. Furthermore, an increase in DNA concentration increased analytical sensitivity of the Anyplex28, particularly appropriate for prevalence studies.
More Related Videos
10:26RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma
Published on: March 11, 2014
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016