Evidence map›Paper›PMID 33628599›Full record

ArticleCancer biology & medicine2021

Diagnostic value of 5 serum biomarkers for hepatocellular carcinoma with different epidemiological backgrounds: A large-scale, retrospective study.

Dongming Liu, Yi Luo, Lu Chen, Liwei Chen, Duo Zuo, Yueguo Li, Xiaofang Zhang, Jing Wu, Qing Xi, Guangtao Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  4. Review
  5. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Dongming LiuDepartment of Hepatobiliary, Liver Cancer Research Center for Prevention and Therapy.
Yi LuoDepartment of Tumor Cell Biology.
Lu ChenDepartment of Hepatobiliary, Liver Cancer Research Center for Prevention and Therapy.
Liwei ChenDepartment of Tumor Cell Biology.
Duo ZuoClinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Yueguo LiClinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Xiaofang ZhangMedical Laboratory, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jing WuClinical Laboratory, Tianjin Third Central Hospital, Tianjin 300170, China.
Qing XiDepartment of Tumor Cell Biology.
Guangtao LiDepartment of Tumor Cell Biology.
Lisha QiDepartment of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Xiaofen YueDepartment of Tianjin Research Institute of Liver Diseases, Tianjin Second People's Hospital, Tianjin 300192, China.
Xiehua ZhangDepartment of Infectious Diseases, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014010, China.
Zhuoyu SunDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Ning ZhangThe Center for Translational Cancer Research, Peking University First Hospital, Beijing 100034, China.
Tianqiang SongDepartment of Hepatobiliary, Liver Cancer Research Center for Prevention and Therapy.ORCID 0000-0001-6465-4300
Wei LuDepartment of Hepatobiliary, Liver Cancer Research Center for Prevention and Therapy.ORCID 0000-0001-9467-3780
Hua GuoDepartment of Tumor Cell Biology.ORCID 0000-0002-3345-8005
Cancer Research Center · USTianjin Medical University Cancer Institute and Hospital · CNTianjin Medical University · CNBaotou Medical College · CNPeking University First Hospital · CNTianjin Medical University General Hospital · CNTianjin People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hepatocellular carcinoma (HCC) is a lethal global disease that requires an accurate diagnosis. We assessed the potential of 5 serum biomarkers (AFP, AFU, GGT-II, GPC3, and HGF) in the diagnosis of HCC. Methods: In this retrospective study, we measured the serum levels of each biomarker using ELISAs in 921 participants, including 298 patients with HCC, 154 patients with chronic hepatitis (CH), 122 patients with liver cirrhosis (LC), and 347 healthy controls from 3 hospitals. Patients negative for hepatitis B surface antigen and hepatitis C antibody (called "NBNC-HCC") and patients positive for the above indices (called "HBV-HCC and HCV-HCC") were enrolled. The selected diagnostic model was constructed using a training cohort ( Results: The α-L-fucosidase (AFU)/α-fetoprotein (AFP) combination was best able to distinguish NBNC-HCC [area under the curve: 0.986 (95% confidence interval: 0.958-0.997), sensitivity: 92.6%, specificity: 98.9%] from healthy controls in the test cohort. For screening populations at risk of developing HCC (CH and LC), the AFP/AFU combination improved the diagnostic specificity for early-stage HCC [area under the curve: 0.776 (0.712-0.831), sensitivity: 52.5%, specificity: 91.6% in the test group]. In all-stage HBV-HCC and HCV-HCC, AFU was also the best candidate biomarker combined with AFP [area under the curve: 0.835 (0.784-0.877), sensitivity 69.1%, specificity: 87.4% in the test group]. All results were verified in the validation group. Conclusions: The AFP/AFU combination could be used to identify NBNC-HCC from healthy controls and hepatitis-related HCC from at-risk patients.

Indexed as

AdultAgedAged, 80 and overalpha-Fetoproteinsalpha-L-FucosidaseBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesFemaleHepatitis B Surface AntigensHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedRetrospective Studiesalpha-Fetoproteinsalpha-L-FucosidaseBiomarkers, TumorHepatitis B Surface AntigensAFPAFUbiomarkerHepatocellular carcinomaserum

Identifiers

PMID33628599
PMCPMC7877174
OpenAlexW3127309795

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.