A Large‐scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including h...
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Published in | Hepatology (Baltimore, Md.) Vol. 67; no. 2; pp. 662 - 675 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wolters Kluwer Health, Inc
01.02.2018
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Abstract | Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography–mass spectrometry–based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl‐tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did α‐fetoprotein (AFP) in differentiating HCC from a high‐risk population of cirrhosis, such as an area under the receiver‐operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case–control study, this panel had high sensitivity (range 80.0%‐70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver‐operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false‐negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at‐risk populations. (Hepatology 2018;67:662‐675). |
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AbstractList | Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography-mass spectrometry-based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl-tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did α-fetoprotein (AFP) in differentiating HCC from a high-risk population of cirrhosis, such as an area under the receiver-operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case-control study, this panel had high sensitivity (range 80.0%-70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver-operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false-negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at-risk populations. (Hepatology 2018;67:662-675). Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography–mass spectrometry–based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl‐tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did α‐fetoprotein (AFP) in differentiating HCC from a high‐risk population of cirrhosis, such as an area under the receiver‐operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case–control study, this panel had high sensitivity (range 80.0%‐70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver‐operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false‐negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at‐risk populations. (H epatology 2018;67:662‐675). Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography-mass spectrometry-based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl-tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did α-fetoprotein (AFP) in differentiating HCC from a high-risk population of cirrhosis, such as an area under the receiver-operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case-control study, this panel had high sensitivity (range 80.0%-70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver-operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false-negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at-risk populations. (Hepatology 2018;67:662-675).Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography-mass spectrometry-based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl-tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did α-fetoprotein (AFP) in differentiating HCC from a high-risk population of cirrhosis, such as an area under the receiver-operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case-control study, this panel had high sensitivity (range 80.0%-70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver-operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false-negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at-risk populations. (Hepatology 2018;67:662-675). |
Author | Luo, Ping Gao, Ling Yin, Zhenyu Xie, Xingwang Zhou, Lina Tan, Yexiong Qiu, Gaokun Hua, Rui Chen, Wenbin Wang, Hongyang Wang, Xiaomei Wang, Xiaolin Wu, Tangchun Yin, Peiyuan Chen, Hongsong Lu, Xin Li, Zaifang Li, Yanli Niu, Junqi Xu, Guowang |
AuthorAffiliation | 6 Zhongshan Hospital of Xiamen University Xiamen China 4 International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute The Second Military Medical University Shanghai China 5 MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College Huazhong University of Science & Technology Wuhan Hubei China 1 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China 3 Department of Hepatology, First Hospital Jilin University Changchun Jilin China 7 Peking University People's Hospital Beijing China 2 University of Chinese Academy of Sciences Beijing China 8 Shangdong Provincial Hospital Affiliated to Shandong University Jinan China |
AuthorAffiliation_xml | – name: 2 University of Chinese Academy of Sciences Beijing China – name: 5 MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College Huazhong University of Science & Technology Wuhan Hubei China – name: 3 Department of Hepatology, First Hospital Jilin University Changchun Jilin China – name: 1 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China – name: 6 Zhongshan Hospital of Xiamen University Xiamen China – name: 4 International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute The Second Military Medical University Shanghai China – name: 7 Peking University People's Hospital Beijing China – name: 8 Shangdong Provincial Hospital Affiliated to Shandong University Jinan China |
Author_xml | – sequence: 1 givenname: Ping surname: Luo fullname: Luo, Ping organization: University of Chinese Academy of Sciences – sequence: 2 givenname: Peiyuan orcidid: 0000-0003-3639-3363 surname: Yin fullname: Yin, Peiyuan organization: Chinese Academy of Sciences – sequence: 3 givenname: Rui surname: Hua fullname: Hua, Rui organization: Jilin University – sequence: 4 givenname: Yexiong surname: Tan fullname: Tan, Yexiong organization: The Second Military Medical University – sequence: 5 givenname: Zaifang surname: Li fullname: Li, Zaifang organization: University of Chinese Academy of Sciences – sequence: 6 givenname: Gaokun surname: Qiu fullname: Qiu, Gaokun organization: Huazhong University of Science & Technology – sequence: 7 givenname: Zhenyu surname: Yin fullname: Yin, Zhenyu organization: Zhongshan Hospital of Xiamen University – sequence: 8 givenname: Xingwang surname: Xie fullname: Xie, Xingwang organization: Peking University People's Hospital – sequence: 9 givenname: Xiaomei surname: Wang fullname: Wang, Xiaomei organization: Jilin University – sequence: 10 givenname: Wenbin surname: Chen fullname: Chen, Wenbin organization: Shangdong Provincial Hospital Affiliated to Shandong University – sequence: 11 givenname: Lina surname: Zhou fullname: Zhou, Lina organization: Chinese Academy of Sciences – sequence: 12 givenname: Xiaolin surname: Wang fullname: Wang, Xiaolin organization: Chinese Academy of Sciences – sequence: 13 givenname: Yanli surname: Li fullname: Li, Yanli organization: Chinese Academy of Sciences – sequence: 14 givenname: Hongsong surname: Chen fullname: Chen, Hongsong organization: Peking University People's Hospital – sequence: 15 givenname: Ling surname: Gao fullname: Gao, Ling organization: Shangdong Provincial Hospital Affiliated to Shandong University – sequence: 16 givenname: Xin surname: Lu fullname: Lu, Xin organization: Chinese Academy of Sciences – sequence: 17 givenname: Tangchun surname: Wu fullname: Wu, Tangchun email: wut@mails.tjmu.edu.cn organization: Huazhong University of Science & Technology – sequence: 18 givenname: Hongyang surname: Wang fullname: Wang, Hongyang email: hywangk@vip.sina.com organization: The Second Military Medical University – sequence: 19 givenname: Junqi surname: Niu fullname: Niu, Junqi email: junqiniu@aliyun.com organization: Jilin University – sequence: 20 givenname: Guowang surname: Xu fullname: Xu, Guowang email: xugw@dicp.ac.cn organization: Chinese Academy of Sciences |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28960374$$D View this record in MEDLINE/PubMed |
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Copyright | 2017 The Authors. H published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases. 2017 The Authors. Hepatology published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases. 2018 by the American Association for the Study of Liver Diseases. |
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Snippet | Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in... |
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SubjectTerms | Adult Aged alpha-Fetoproteins - analysis Bile Acids and Salts - blood Biomarkers Biomarkers, Tumor - blood Carcinoma, Hepatocellular - blood Carcinoma, Hepatocellular - diagnosis Chronic infection Cirrhosis Diagnosis Early Detection of Cancer Female Hepatitis B Hepatocellular carcinoma Hepatology Humans Interferon Liquid chromatography Liver cancer Liver cirrhosis Liver Neoplasms - blood Liver Neoplasms - diagnosis Male Mass spectroscopy Metabolomics Middle Aged Original Tryptophan |
Title | A Large‐scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma |
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