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Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000

BACKGROUND: An accurate and reproducible next-generation sequencing platform is essential to identify malignancy-related abnormal DNA methylation changes and translate them into clinical applications including cancer detection, prognosis, and surveillance. However, high-quality DNA methylation seque...

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Autores principales: Sun, Jin, Su, Mingyang, Ma, Jianhua, Xu, Minjie, Ma, Chengcheng, Li, Wei, Liu, Rui, He, Qiye, Su, Zhixi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426093/
https://www.ncbi.nlm.nih.gov/pubmed/37582783
http://dx.doi.org/10.1186/s13148-023-01543-4
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author Sun, Jin
Su, Mingyang
Ma, Jianhua
Xu, Minjie
Ma, Chengcheng
Li, Wei
Liu, Rui
He, Qiye
Su, Zhixi
author_facet Sun, Jin
Su, Mingyang
Ma, Jianhua
Xu, Minjie
Ma, Chengcheng
Li, Wei
Liu, Rui
He, Qiye
Su, Zhixi
author_sort Sun, Jin
collection PubMed
description BACKGROUND: An accurate and reproducible next-generation sequencing platform is essential to identify malignancy-related abnormal DNA methylation changes and translate them into clinical applications including cancer detection, prognosis, and surveillance. However, high-quality DNA methylation sequencing has been challenging because poor sequence diversity of the bisulfite-converted libraries severely impairs sequencing quality and yield. In this study, we tested MGISEQ-2000 Sequencer’s capability of DNA methylation sequencing with a published non-invasive pancreatic cancer detection assay, using NovaSeq6000 as the benchmark. RESULTS: We sequenced a series of synthetic cell-free DNA (cfDNA) samples with different tumor fractions and found MGISEQ-2000 yielded data with similar quality as NovaSeq6000. The methylation levels measured by MGISEQ-2000 demonstrated high consistency with NovaSeq6000. Moreover, MGISEQ-2000 showed a comparable analytic sensitivity with NovaSeq6000, suggesting its potential for clinical detection. As to evaluate the clinical performance of MGISEQ-2000, we sequenced 24 clinical samples and predicted the pathology of the samples with a clinical diagnosis model, PDACatch classifier. The clinical model performance of MGISEQ-2000’s data was highly consistent with that of NovaSeq6000’s data, with the area under the curve of 1. We also tested the model’s robustness with MGISEQ-2000’s data when reducing the sequencing depth. The results showed that MGISEQ-2000’s data showed matching robustness of the PDACatch classifier with NovaSeq6000’s data. CONCLUSIONS: Taken together, MGISEQ-2000 demonstrated similar data quality, consistency of the methylation levels, comparable analytic sensitivity, and matching clinical performance, supporting its application in future non-invasive early cancer detection investigations by detecting distinct methylation patterns of cfDNAs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01543-4.
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spelling pubmed-104260932023-08-16 Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000 Sun, Jin Su, Mingyang Ma, Jianhua Xu, Minjie Ma, Chengcheng Li, Wei Liu, Rui He, Qiye Su, Zhixi Clin Epigenetics Research BACKGROUND: An accurate and reproducible next-generation sequencing platform is essential to identify malignancy-related abnormal DNA methylation changes and translate them into clinical applications including cancer detection, prognosis, and surveillance. However, high-quality DNA methylation sequencing has been challenging because poor sequence diversity of the bisulfite-converted libraries severely impairs sequencing quality and yield. In this study, we tested MGISEQ-2000 Sequencer’s capability of DNA methylation sequencing with a published non-invasive pancreatic cancer detection assay, using NovaSeq6000 as the benchmark. RESULTS: We sequenced a series of synthetic cell-free DNA (cfDNA) samples with different tumor fractions and found MGISEQ-2000 yielded data with similar quality as NovaSeq6000. The methylation levels measured by MGISEQ-2000 demonstrated high consistency with NovaSeq6000. Moreover, MGISEQ-2000 showed a comparable analytic sensitivity with NovaSeq6000, suggesting its potential for clinical detection. As to evaluate the clinical performance of MGISEQ-2000, we sequenced 24 clinical samples and predicted the pathology of the samples with a clinical diagnosis model, PDACatch classifier. The clinical model performance of MGISEQ-2000’s data was highly consistent with that of NovaSeq6000’s data, with the area under the curve of 1. We also tested the model’s robustness with MGISEQ-2000’s data when reducing the sequencing depth. The results showed that MGISEQ-2000’s data showed matching robustness of the PDACatch classifier with NovaSeq6000’s data. CONCLUSIONS: Taken together, MGISEQ-2000 demonstrated similar data quality, consistency of the methylation levels, comparable analytic sensitivity, and matching clinical performance, supporting its application in future non-invasive early cancer detection investigations by detecting distinct methylation patterns of cfDNAs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01543-4. BioMed Central 2023-08-14 /pmc/articles/PMC10426093/ /pubmed/37582783 http://dx.doi.org/10.1186/s13148-023-01543-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sun, Jin
Su, Mingyang
Ma, Jianhua
Xu, Minjie
Ma, Chengcheng
Li, Wei
Liu, Rui
He, Qiye
Su, Zhixi
Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title_full Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title_fullStr Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title_full_unstemmed Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title_short Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000
title_sort cross-platform comparisons for targeted bisulfite sequencing of mgiseq-2000 and novaseq6000
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426093/
https://www.ncbi.nlm.nih.gov/pubmed/37582783
http://dx.doi.org/10.1186/s13148-023-01543-4
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