Genome-wide mapping of 5-hydroxymethylcytosines in circulating cell-free DNA as a non-invasive approach for early detection of hepatocellular carcinoma
ObjectiveThe lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC.DesignA...
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Published in | Gut Vol. 68; no. 12; pp. 2195 - 2205 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BMJ Publishing Group Ltd and British Society of Gastroenterology
01.12.2019
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Original article |
Subjects | |
Online Access | Get full text |
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Abstract | ObjectiveThe lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC.DesignApplying the 5hmC-Seal technique, we obtained genome-wide 5-hydroxymethylcytosines (5hmC) in cfDNA samples from 2554 Chinese subjects: 1204 patients with HCC, 392 patients with chronic hepatitis B virus infection (CHB) or liver cirrhosis (LC) and 958 healthy individuals and patients with benign liver lesions. A diagnostic model for early HCC was developed through case-control analyses using the elastic net regularisation for feature selection.ResultsThe 5hmC-Seal data from patients with HCC showed a genome-wide distribution enriched with liver-derived enhancer marks. We developed a 32-gene diagnostic model that accurately distinguished early HCC (stage 0/A) based on the Barcelona Clinic Liver Cancer staging system from non-HCC (validation set: area under curve (AUC)=88.4%; (95% CI 85.8% to 91.1%)), showing superior performance over α-fetoprotein (AFP). Besides detecting patients with early stage or small tumours (eg, ≤2.0 cm) from non-HCC, the 5hmC model showed high capacity for distinguishing early HCC from high risk subjects with CHB or LC history (validation set: AUC=84.6%; (95% CI 80.6% to 88.7%)), also significantly outperforming AFP. Furthermore, the 5hmC diagnostic model appeared to be independent from potential confounders (eg, smoking/alcohol intake history).ConclusionWe have developed and validated a non-invasive approach with clinical application potential for the early detection of HCC that are still surgically resectable in high risk individuals. |
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AbstractList | The lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC.OBJECTIVEThe lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC.Applying the 5hmC-Seal technique, we obtained genome-wide 5-hydroxymethylcytosines (5hmC) in cfDNA samples from 2554 Chinese subjects: 1204 patients with HCC, 392 patients with chronic hepatitis B virus infection (CHB) or liver cirrhosis (LC) and 958 healthy individuals and patients with benign liver lesions. A diagnostic model for early HCC was developed through case-control analyses using the elastic net regularisation for feature selection.DESIGNApplying the 5hmC-Seal technique, we obtained genome-wide 5-hydroxymethylcytosines (5hmC) in cfDNA samples from 2554 Chinese subjects: 1204 patients with HCC, 392 patients with chronic hepatitis B virus infection (CHB) or liver cirrhosis (LC) and 958 healthy individuals and patients with benign liver lesions. A diagnostic model for early HCC was developed through case-control analyses using the elastic net regularisation for feature selection.The 5hmC-Seal data from patients with HCC showed a genome-wide distribution enriched with liver-derived enhancer marks. We developed a 32-gene diagnostic model that accurately distinguished early HCC (stage 0/A) based on the Barcelona Clinic Liver Cancer staging system from non-HCC (validation set: area under curve (AUC)=88.4%; (95% CI 85.8% to 91.1%)), showing superior performance over α-fetoprotein (AFP). Besides detecting patients with early stage or small tumours (eg, ≤2.0 cm) from non-HCC, the 5hmC model showed high capacity for distinguishing early HCC from high risk subjects with CHB or LC history (validation set: AUC=84.6%; (95% CI 80.6% to 88.7%)), also significantly outperforming AFP. Furthermore, the 5hmC diagnostic model appeared to be independent from potential confounders (eg, smoking/alcohol intake history).RESULTSThe 5hmC-Seal data from patients with HCC showed a genome-wide distribution enriched with liver-derived enhancer marks. We developed a 32-gene diagnostic model that accurately distinguished early HCC (stage 0/A) based on the Barcelona Clinic Liver Cancer staging system from non-HCC (validation set: area under curve (AUC)=88.4%; (95% CI 85.8% to 91.1%)), showing superior performance over α-fetoprotein (AFP). Besides detecting patients with early stage or small tumours (eg, ≤2.0 cm) from non-HCC, the 5hmC model showed high capacity for distinguishing early HCC from high risk subjects with CHB or LC history (validation set: AUC=84.6%; (95% CI 80.6% to 88.7%)), also significantly outperforming AFP. Furthermore, the 5hmC diagnostic model appeared to be independent from potential confounders (eg, smoking/alcohol intake history).We have developed and validated a non-invasive approach with clinical application potential for the early detection of HCC that are still surgically resectable in high risk individuals.CONCLUSIONWe have developed and validated a non-invasive approach with clinical application potential for the early detection of HCC that are still surgically resectable in high risk individuals. ObjectiveThe lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC.DesignApplying the 5hmC-Seal technique, we obtained genome-wide 5-hydroxymethylcytosines (5hmC) in cfDNA samples from 2554 Chinese subjects: 1204 patients with HCC, 392 patients with chronic hepatitis B virus infection (CHB) or liver cirrhosis (LC) and 958 healthy individuals and patients with benign liver lesions. A diagnostic model for early HCC was developed through case-control analyses using the elastic net regularisation for feature selection.ResultsThe 5hmC-Seal data from patients with HCC showed a genome-wide distribution enriched with liver-derived enhancer marks. We developed a 32-gene diagnostic model that accurately distinguished early HCC (stage 0/A) based on the Barcelona Clinic Liver Cancer staging system from non-HCC (validation set: area under curve (AUC)=88.4%; (95% CI 85.8% to 91.1%)), showing superior performance over α-fetoprotein (AFP). Besides detecting patients with early stage or small tumours (eg, ≤2.0 cm) from non-HCC, the 5hmC model showed high capacity for distinguishing early HCC from high risk subjects with CHB or LC history (validation set: AUC=84.6%; (95% CI 80.6% to 88.7%)), also significantly outperforming AFP. Furthermore, the 5hmC diagnostic model appeared to be independent from potential confounders (eg, smoking/alcohol intake history).ConclusionWe have developed and validated a non-invasive approach with clinical application potential for the early detection of HCC that are still surgically resectable in high risk individuals. The lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We sought to develop a non-invasive diagnostic approach using circulating cell-free DNA (cfDNA) for the early detection of HCC. Applying the 5hmC-Seal technique, we obtained genome-wide 5-hydroxymethylcytosines (5hmC) in cfDNA samples from 2554 Chinese subjects: 1204 patients with HCC, 392 patients with chronic hepatitis B virus infection (CHB) or liver cirrhosis (LC) and 958 healthy individuals and patients with benign liver lesions. A diagnostic model for early HCC was developed through case-control analyses using the elastic net regularisation for feature selection. The 5hmC-Seal data from patients with HCC showed a genome-wide distribution enriched with liver-derived enhancer marks. We developed a 32-gene diagnostic model that accurately distinguished early HCC (stage 0/A) based on the Barcelona Clinic Liver Cancer staging system from non-HCC (validation set: area under curve (AUC)=88.4%; (95% CI 85.8% to 91.1%)), showing superior performance over α-fetoprotein (AFP). Besides detecting patients with early stage or small tumours (eg, ≤2.0 cm) from non-HCC, the 5hmC model showed high capacity for distinguishing early HCC from high risk subjects with CHB or LC history (validation set: AUC=84.6%; (95% CI 80.6% to 88.7%)), also significantly outperforming AFP. Furthermore, the 5hmC diagnostic model appeared to be independent from potential confounders (eg, smoking/alcohol intake history). We have developed and validated a non-invasive approach with clinical application potential for the early detection of HCC that are still surgically resectable in high risk individuals. |
Author | Zhou, Jian Yang, Xuan Gao, Pingting Nie, Ji Liu, Weiwei Ke, Aiwu Chiu, Brian C-H Zeng, Chang Ge, Yang Sun, Huichuan Dong, Ruizhao Yang, Deping Stroup, Emily Kunce Zhang, Zhou Fan, Jia Yang, Yuan Zhu, Yanjing Zhang, Wei Chen, Lei Zhang, Xu He, Chuan Lau, Wan Yee Wang, Jiefei Qiu, Shuangjian Zhu, Tongyu Sui, Chengjun Shen, Feng Zhang, Xinyu Cai, Jiabin Shi, Guoming Wang, Hongyang Lu, Xingyu Xiao, Linlin Zhou, Weiping Huang, Xiaowu |
AuthorAffiliation | 6 Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , Illinois , USA 8 Department of Laboratory Medicine, The Tenth People’s Hospital of Shanghai , Tongji University , Shanghai , China 22 Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer , The Second Military Medical University & Ministry of Education , Shanghai , China 15 Driskill Graduate Program in Life Sciences , Northwestern University Feinberg School of Medicine , Chicago , Illinois , Chicago 23 The Robert H. Lurie Comprehensive Cancer Center , Northwestern University Feinberg School of Medicine , Chicago , Illinois , USA 21 The Howard Hughes Medical Institute , University of Chicago , Chicago , Illinois , USA 19 Department of Biochemistry and Molecular Biology , University of Chicago , Chicago , Illinois , USA 11 Department of Laboratory Medicine , Shanghai Jiao Tong University , Shanghai , China 12 Shanghai Public Health Clinic Center , Fudan University , Shanghai , |
AuthorAffiliation_xml | – name: 1 Department of Liver Surgery and Transplantation , Liver Cancer Institute, Zhongshan Hospital, Fudan University , Shanghai , China – name: 20 Institute for Biophysical Dynamics , University of Chicago , Chicago , Illinois , USA – name: 9 School of Public Health , Shanghai Jiao Tong University School of Medicine , Shanghai , China – name: 14 Department of Chemistry , University of Chicago , Chicago , Illinois , USA – name: 2 Key Laboratory of Carcinogenesis and Cancer Invasion , Fudan University & Ministry of Education , Shanghai , China – name: 10 Department of Hepatobiliary Surgery , The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University , Shanghai , China – name: 7 Shanghai Epican Genetech Co. Ltd. , Shanghai , China – name: 19 Department of Biochemistry and Molecular Biology , University of Chicago , Chicago , Illinois , USA – name: 23 The Robert H. Lurie Comprehensive Cancer Center , Northwestern University Feinberg School of Medicine , Chicago , Illinois , USA – name: 5 National Center for Liver Cancer , Shanghai , China – name: 13 Department of Laboratory Medicine , Zhoupu Hospital, Shanghai University of Medicine & Health Sciences , Shanghai , China – name: 18 Faculty of Medicine , The Chinese University of Hong Kong , New Territories , Hong Kong , China – name: 3 Key Laboratory of Medical Epigenetics and Metabolism, Institute of Biomedical Sciences , Fudan University , Shanghai , China – name: 4 The International Cooperation Laboratory on Signal Transduction, The Eastern Hepatobiliary Surgery Hospital , The Second Military Medical University , Shanghai , China – name: 11 Department of Laboratory Medicine , Shanghai Jiao Tong University , Shanghai , China – name: 16 Department of Medicine , University of Illinois , Chicago , Illinois , USA – name: 17 Department of Public Health Sciences , University of Chicago , Chicago , Illinois , USA – name: 21 The Howard Hughes Medical Institute , University of Chicago , Chicago , Illinois , USA – name: 15 Driskill Graduate Program in Life Sciences , Northwestern University Feinberg School of Medicine , Chicago , Illinois , Chicago – name: 6 Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , Illinois , USA – name: 12 Shanghai Public Health Clinic Center , Fudan University , Shanghai , China – name: 8 Department of Laboratory Medicine, The Tenth People’s Hospital of Shanghai , Tongji University , Shanghai , China – name: 22 Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer , The Second Military Medical University & Ministry of Education , Shanghai , China |
Author_xml | – sequence: 1 givenname: Jiabin surname: Cai fullname: Cai, Jiabin organization: Key Laboratory of Medical Epigenetics and Metabolism, Institute of Biomedical Sciences, Fudan University, Shanghai, China – sequence: 2 givenname: Lei orcidid: 0000-0002-9380-9559 surname: Chen fullname: Chen, Lei organization: National Center for Liver Cancer, Shanghai, China – sequence: 3 givenname: Zhou surname: Zhang fullname: Zhang, Zhou organization: Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA – sequence: 4 givenname: Xinyu surname: Zhang fullname: Zhang, Xinyu organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 5 givenname: Xingyu surname: Lu fullname: Lu, Xingyu organization: Shanghai Epican Genetech Co. Ltd., Shanghai, China – sequence: 6 givenname: Weiwei surname: Liu fullname: Liu, Weiwei organization: Department of Laboratory Medicine, The Tenth People’s Hospital of Shanghai, Tongji University, Shanghai, China – sequence: 7 givenname: Guoming surname: Shi fullname: Shi, Guoming organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 8 givenname: Yang surname: Ge fullname: Ge, Yang organization: School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China – sequence: 9 givenname: Pingting surname: Gao fullname: Gao, Pingting organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 10 givenname: Yuan surname: Yang fullname: Yang, Yuan organization: Department of Hepatobiliary Surgery, The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China – sequence: 11 givenname: Aiwu surname: Ke fullname: Ke, Aiwu organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 12 givenname: Linlin surname: Xiao fullname: Xiao, Linlin organization: Department of Laboratory Medicine, Shanghai Jiao Tong University, Shanghai, China – sequence: 13 givenname: Ruizhao surname: Dong fullname: Dong, Ruizhao organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 14 givenname: Yanjing surname: Zhu fullname: Zhu, Yanjing organization: The International Cooperation Laboratory on Signal Transduction, The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China – sequence: 15 givenname: Xuan surname: Yang fullname: Yang, Xuan organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 16 givenname: Jiefei surname: Wang fullname: Wang, Jiefei organization: Shanghai Public Health Clinic Center, Fudan University, Shanghai, China – sequence: 17 givenname: Tongyu surname: Zhu fullname: Zhu, Tongyu organization: Shanghai Public Health Clinic Center, Fudan University, Shanghai, China – sequence: 18 givenname: Deping surname: Yang fullname: Yang, Deping organization: Department of Laboratory Medicine, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China – sequence: 19 givenname: Xiaowu surname: Huang fullname: Huang, Xiaowu organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 20 givenname: Chengjun surname: Sui fullname: Sui, Chengjun organization: Department of Hepatobiliary Surgery, The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China – sequence: 21 givenname: Shuangjian surname: Qiu fullname: Qiu, Shuangjian organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 22 givenname: Feng surname: Shen fullname: Shen, Feng organization: Department of Hepatobiliary Surgery, The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China – sequence: 23 givenname: Huichuan surname: Sun fullname: Sun, Huichuan organization: Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University & Ministry of Education, Shanghai, China – sequence: 24 givenname: Weiping surname: Zhou fullname: Zhou, Weiping organization: Department of Hepatobiliary Surgery, The Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China – sequence: 25 givenname: Jian surname: Zhou fullname: Zhou, Jian organization: Key Laboratory of Medical Epigenetics and Metabolism, Institute of Biomedical Sciences, Fudan University, Shanghai, China – sequence: 26 givenname: Ji surname: Nie fullname: Nie, Ji organization: Department of Chemistry, University of Chicago, Chicago, Illinois, USA – sequence: 27 givenname: Chang surname: Zeng fullname: Zeng, Chang organization: Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, Chicago – sequence: 28 givenname: Emily Kunce surname: Stroup fullname: Stroup, Emily Kunce organization: Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, Chicago – sequence: 29 givenname: Xu surname: Zhang fullname: Zhang, Xu organization: Department of Medicine, University of Illinois, Chicago, Illinois, USA – sequence: 30 givenname: Brian C-H surname: Chiu fullname: Chiu, Brian C-H organization: Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA – sequence: 31 givenname: Wan Yee surname: Lau fullname: Lau, Wan Yee organization: Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China – sequence: 32 givenname: Chuan surname: He fullname: He, Chuan organization: The Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois, USA – sequence: 33 givenname: Hongyang orcidid: 0000-0002-4709-3334 surname: Wang fullname: Wang, Hongyang organization: Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, The Second Military Medical University & Ministry of Education, Shanghai, China – sequence: 34 givenname: Wei surname: Zhang fullname: Zhang, Wei organization: The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA – sequence: 35 givenname: Jia orcidid: 0000-0001-5158-629X surname: Fan fullname: Fan, Jia organization: Key Laboratory of Medical Epigenetics and Metabolism, Institute of Biomedical Sciences, Fudan University, Shanghai, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31358576$$D View this record in MEDLINE/PubMed |
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Snippet | ObjectiveThe lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma... The lack of highly sensitive and specific diagnostic biomarkers is a major contributor to the poor outcomes of patients with hepatocellular carcinoma (HCC). We... |
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SubjectTerms | 5-Methylcytosine - analogs & derivatives 5-Methylcytosine - blood Biomarkers Biomarkers, Tumor - blood Biopsy cancer Carcinoma, Hepatocellular - blood Carcinoma, Hepatocellular - diagnosis Carcinoma, Hepatocellular - genetics Cell-Free Nucleic Acids - blood Chronic infection Cirrhosis Clinical outcomes Deoxyribonucleic acid DNA DNA, Neoplasm - analysis Early Detection of Cancer - methods Epigenetics Female Gastroenterology Gene expression Gene mapping Generalized linear models Genome-Wide Association Study - methods Genomes Health care Hepatitis Hepatitis B hepatobiliary cancer Hepatocellular carcinoma Hepatology Hospitals Humans Liver cancer Liver cirrhosis Liver Neoplasms - blood Liver Neoplasms - diagnosis Liver Neoplasms - genetics Male Medical prognosis Middle Aged Patients Prospective Studies ROC Curve Signal transduction Surveillance Tumors α-Fetoprotein |
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Title | Genome-wide mapping of 5-hydroxymethylcytosines in circulating cell-free DNA as a non-invasive approach for early detection of hepatocellular carcinoma |
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