Single-Molecule Sequencing Enables Long Cell-Free DNA Detection and Direct Methylation Analysis for Cancer Patients

Author:

Choy L Y Lois1234ORCID,Peng Wenlei134,Jiang Peiyong1234ORCID,Cheng Suk Hang134,Yu Stephanie C Y134,Shang Huimin134,Olivia Tse O Y134,Wong John5,Wong Vincent Wai Sun6ORCID,Wong Grace L H7,Lam W K Jacky1234,Chan Stephen L28,Chiu Rossa W K134,Chan K C Allen1234ORCID,Lo Y M Dennis1234

Affiliation:

1. Centre for Novostics, Hong Kong Science Park , Pak Shek Kok, Hong Kong SAR , China

2. State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, Hong Kong SAR , China

3. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong , Shatin, Hong Kong SAR , China

4. Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, Hong Kong SAR , China

5. Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, Hong Kong SAR , China

6. Department of Medicine and Therapeutics, The Chinese University of Hong Kong , Shatin, Hong Kong SAR , China

7. Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong , Shatin, Hong Kong SAR , China

8. Department of Clinical Oncology, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, Hong Kong SAR , China

Abstract

Abstract Background Analysis of circulating tumor DNA has become increasingly important as a tool for cancer care. However, the focus of previous studies has been on short fragments of DNA. Also, bisulfite sequencing, a conventional approach for methylation analysis, causes DNA degradation, which is not ideal for the assessment of long DNA properties and methylation patterns. This study attempted to overcome such obstacles by single-molecule sequencing. Methods Single-molecule real-time (SMRT) sequencing was used to sequence plasma DNA. We performed fragment size and direct methylation analysis for each molecule. A methylation score concerning single-molecule methylation patterns was used for cancer detection. Results A substantial proportion of plasma DNA was longer than 1 kb with a median of 16% in hepatocellular carcinoma (HCC) patients, hepatitis B virus carriers, and healthy individuals. The longest plasma DNA molecule in the HCC patients was 39.8 kb. Tumoral cell-free DNA (cfDNA) was generally shorter than nontumoral cfDNA. The longest tumoral cfDNA was 13.6 kb. Tumoral cfDNA had lower methylation levels compared with nontumoral cfDNA (median: 59.3% vs 76.9%). We developed and analyzed a metric reflecting single-molecule methylation patterns associated with cancer, named the HCC methylation score. HCC patients displayed significantly higher HCC methylation scores than those without HCC. Interestingly, compared to using short cfDNA (area under the receiver operating characteristic [ROC] curve, AUC: 0.75), the use of long cfDNA molecules greatly enhanced the discriminatory power (AUC: 0.91). Conclusions A previously unidentified long cfDNA population was revealed in cancer patients. The presence and direct methylation analysis of these molecules open new possibilities for cancer liquid biopsy.

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

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