A high-throughput test enables specific detection of hepatocellular carcinoma

Autor: 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
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Druh dokumentu: article
ISSN: 2041-1723
64872947
DOI: 10.1038/s41467-023-39055-7
Popis: Abstract 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.
Databáze: Directory of Open Access Journals
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