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 inHepatology (Baltimore, Md.) Vol. 67; no. 2; pp. 662 - 675
Main Authors Luo, Ping, Yin, Peiyuan, Hua, Rui, Tan, Yexiong, Li, Zaifang, Qiu, Gaokun, Yin, Zhenyu, Xie, Xingwang, Wang, Xiaomei, Chen, Wenbin, Zhou, Lina, Wang, Xiaolin, Li, Yanli, Chen, Hongsong, Gao, Ling, Lu, Xin, Wu, Tangchun, Wang, Hongyang, Niu, Junqi, Xu, Guowang
Format Journal Article
LanguageEnglish
Published United States Wolters Kluwer Health, Inc 01.02.2018
John Wiley and Sons Inc
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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).
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
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  givenname: Rui
  surname: Hua
  fullname: Hua, Rui
  organization: Jilin University
– sequence: 4
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  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
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  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
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  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
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  organization: Peking University People's Hospital
– sequence: 15
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  organization: Shangdong Provincial Hospital Affiliated to Shandong University
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  givenname: Xin
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  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
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  givenname: Junqi
  surname: Niu
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  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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2017 The Authors. Hepatology published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases.
This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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Notes These authors contributed equally to this work.
Potential conflict of interest: Nothing to report.
Supported by the National Key Research and Development Program of China (2017YFC0906900), the projects (No. 21375127) and key project (No. 21435006) from the National Natural Science Foundation of China and the National Grand Project (2012ZX10002‐011) of Science and Technology of China.
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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
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhep.29561
https://www.ncbi.nlm.nih.gov/pubmed/28960374
https://www.proquest.com/docview/1988200940
https://www.proquest.com/docview/1945216422
https://pubmed.ncbi.nlm.nih.gov/PMC6680350
Volume 67
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