A high-throughput test enables specific detection of hepatocellular carcinoma

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作者
David Cheishvili
Chifat Wong
Mohammad Mahbubul Karim
Mohammad Golam Kibria
Nusrat Jahan
Pappu Chandra Das
Md. Abul Khair Yousuf
Md. Atikul Islam
Dulal Chandra Das
Sheikh Mohammad Noor-E-Alam
Moshe Szyf
Sarwar Alam
Wasif A. Khan
Mamun Al Mahtab
机构
[1] HKG Epitherapeutics Ltd. Unit 313-315,Gerald Bronfman Department of Oncology
[2] 3/F Biotech Center 2,Department of Hepatology
[3] McGill University,Department of Pharmacology and Therapeutics
[4] International Centre for Diarrhoeal Disease Research,Department of Clinical Oncology
[5] Bangladesh (ICDDR,undefined
[6] B),undefined
[7] Bangabandhu Sheikh Mujib Medical University,undefined
[8] McGill University,undefined
[9] Bangabandhu Sheikh Mujib Medical University,undefined
来源
Nature Communications | / 14卷
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摘要
High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classifier using four CpG sites, validated in TCGA HCC data. A single F12 gene CpG site effectively differentiates HCC samples from other blood samples, normal tissues, and non-HCC tumors in TCGA and GEO data repositories. The markers were validated in a separate plasma sample dataset from HCC patients and controls. We designed a high-throughput assay using next-generation sequencing and multiplexing techniques, analyzing plasma samples from 554 clinical study participants, including HCC patients, non-HCC cancers, chronic hepatitis B, and healthy controls. HCC detection sensitivity was 84.5% at 95% specificity and 0.94 AUC. Implementing this assay for high-risk individuals could significantly decrease HCC morbidity and mortality.
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