Evidence map›Paper›PMID 37582783›Full record

ArticleClinical epigenetics2023

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

Jin Sun, Mingyang Su, Jianhua Ma, Minjie Xu, Chengcheng Ma, Wei Li, Rui Liu, Qiye He, Zhixi Su

Abstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jin Sun *Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Mingyang Su *Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Jianhua MaSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Minjie XuSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Chengcheng MaSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Wei LiSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Rui LiuSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Qiye HeSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China. Michael.He@singleragenomics.com.
Zhixi SuSinglera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China. zhixi.su@singleragenomics.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn 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.

resultsWe 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.

conclusionsTaken 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.

Indexed as

DNA MethylationSulfitesHigh-Throughput Nucleotide SequencingHumansPrognosisSequence Analysis, DNAhydrogen sulfiteSulfitescfDNActDNAMethylationMGISEQ-2000NGSPDACTargeted bisulfite sequencing

Identifiers

PMID37582783
PMCPMC10426093

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.