Discovery and clinical validation of cost-effective noninvasive early detection of hepatocellular carcinoma (HCC) through circulating tumor DNA (ctDNA) methylation signature.

Authors

null

Xin-Rong Yang

Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China

Xin-Rong Yang , Rui Liu , Jian Zhou , Jia Fan , De-Zhen Guo , Ao Huang , Yingchao Wang , Zhixiong Cai , Hui Wang , Qichang Yang , Zhixi Su , Chengcheng Ma , Minjie Xu , Wei Li

Organizations

Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China, Singlera Genomics Ltd., Shanghai, China, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China, Fudan University Zhongshan Hospital, Shanghai, China, Zhongshan Hospital, Fudan University, Shanghai, China, The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fujian, China, Singlera Genomics Inc., Shanghai, China

Research Funding

Other

Background: Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers worldwide, especially in Asian counties. Patients can be treated more effectively if detected earlier, however the current screening strategies with alpha-fetoprotein (AFP) or ultrasound it is largely suboptimal. We aimed to develop non-invasive and cost-effective assay to improve HCC early detection. Methods: HCC-specific DNA methylation markers were screened from tissue and plasma samples through a modified reduce representation bisulfite sequencing assaay,and optimized by a targeted methylation sequencing assay. The most informative markers were then integrated in a multi-locus qPCR assay, HepaQ. Results: Profiling DNA methylation pattern on 61 tissue samples (31 HCC tumor and 30 normal tissues) and 663 plasma samples (276 HCC and 393 control plasma samples) achieved an AUC of 0.99, which corresponds to 91% sensitivity at 94% specificity. The best-performance markers were further screened and analytically verified in additional tissues and plasmas after several rounds of marker selection. A multi-locus qPCR assay, designated as HepaQ, was then developed to incorporate the most effective markers. A cohort of 559 plasma samples including 293 HCC (84% of them at stage 0/A), 60 liver cirrhosis (LC), 36 chronic hepatitis B (CHB) and 170 healthy controls (CTRL), were used to train a classifier for HCC early detection. HepaQ classifier enables to detect 85.3% of HCC under a specificity of 88.3%, 91.7% and 92.4% in LC, CHB and CTRL, respectively. Finally, HepaQ classifier was validated in 374 plasma samples independently collected from multiple clinical centers to confirm its performance of 87.2% sensitivity in HCC and 86.8%,90.5% and 93.4% specificities in LC, CHB and CTRL respectively. Conclusions: We have developed and demonstrated a blood-based ctDNA methylation assay, HepaQ, that can detect early-stage HCC at high sensitivity and specificity. We proposed that HepaQ assay, a cost-effective qPCR assay, has the great potential to benefit the population at-risk for HCC early detection and screening.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Gastrointestinal Cancer—Gastroesophageal, Pancreatic, and Hepatobiliary

Track

Gastrointestinal Cancer—Gastroesophageal, Pancreatic, and Hepatobiliary

Sub Track

Hepatobiliary Cancer

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 4103)

DOI

10.1200/JCO.2022.40.16_suppl.4103

Abstract #

4103

Poster Bd #

90

Abstract Disclosures

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