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Genomic characterization of early-stage hepatocellular carcinoma patients with Hepatitis B using circulating tumor DNA - 11/08/23

Doi : 10.1016/j.clinre.2023.102161 
Daniel Lin a, , Rui Luo a, Zhong Ye a, Qiang Wei c, Ho Bae d, Hee-soon Juon a, Hie Won Hann a, b, James Posey a, Chun Wang a
a Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA 
b Liver Disease Prevention Center, Division of Gastroenterology and Hepatology, Thomas Jefferson University, Philadelphia, PA, USA 
c Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA 
d Asia-Pacific Liver Center, Los Angeles, CA, USA 

Corresponding author at: 1025 Walnut Street, Suite 700 College Building, Philadelphia, PA 19107, USA.1025 Walnut Street, Suite 700 College BuildingPhiladelphiaPA19107USA

Highlights

Hepatitis B remains a dominant cause of hepatocellular carcinoma (HCC) worldwide.
Detection of genomic biomarkers in ctDNA may serve as a non-invasive means to identify patients with HCC at an early stage, for which curative treatments may be offered.
Mutations in TP53, CTNBB1, and ARID1A were significantly more prevalent in ctDNA of HBV-infected patients with early-stage HCC compared with patients without HCC.
Combining clinical factors with genomic biomarkers may aid in early identification of patients at risk of developing HCC.

Il testo completo di questo articolo è disponibile in PDF.

Abstract

Background

Hepatocellular carcinoma (HCC) is a leading cause of mortality, with Hepatitis B virus (HBV) infection as a dominant etiology worldwide. Effective early detection strategies may facilitate curative therapies and improve survival. We investigated genomic aberrations in circulating tumor DNA (ctDNA) as potential diagnostic markers of HCC in HBV-infected patients.

Methods

We identified early stage (BCLC 0-A) HCC cases (n = 21) and patients without HCC (n = 14) from a cohort of Asian patients with HBV, undergoing surveillance between 2013 and 2017. Circulating cell-free DNA was isolated from blood samples, and assayed by next-generation sequencing of 23 genes implicated in HCC pathogenesis. Somatic mutations were identified using a computational pipeline. Using area under the curve (AUC) in receiver operating characteristic (ROC) analysis, we evaluated gene alterations and clinical factors in an exploratory early HCC detection model.

Results

Mutant ARID1A, CTNNB1, TP53 genes were increased in HCC cases vs. non-HCC patients (85.7% vs 42.9%, P = 0.011; 42.9% vs 0%, P = 0.005; 100% vs 71.4%, P = 0.019, respectively). Using these three genes, AUC for discriminating HCC from non-HCC patients was 0.844 (95% confidence interval [CI]: 0.7317–0.9553). When combining these genes with clinical factors in an exploratory early HCC detection model, AUC increased from 0.7415 (using clinical factors alone) to 0.9354 (P = 0.041).

Conclusion

Genomic aberrations in ctDNA were more prevalent in HBV-infected HCC patients compared with patients without HCC. Combining these alterations with clinical factors may identify HCC in HBV-infected patients at an early stage. These findings warrant validation in future studies.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Liver cancer, Early detection, Screening


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© 2023  Pubblicato da Elsevier Masson SAS.
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Vol 47 - N° 7

Articolo 102161- Agosto 2023 Ritorno al numero
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