Evidence map›Paper›PMID 28902891›Full record

ArticlePloS one2017

TEMs but not DKK1 could serve as complementary biomarkers for AFP in diagnosing AFP-negative hepatocellular carcinoma.

Liping Mao, Yueguo Wang, Delin Wang, Gang Han, Shouzhong Fu, Jianxin Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?International journal of biological sciences · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. HCC with low- and normal-serum alpha-fetoprotein levels.Clinical practice (London, England) · 2018
    Article
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

6 authors at 1 institution in 1 country.

Liping MaoDepartment of Laboratory Medicine, Affiliated Nantong No. 3 Hospital of Nantong University, Nantong, Jiangsu, China.
Yueguo WangLaboratory Medicine Center, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.ORCID http://orcid.org/0000-0003-1463-0786
Delin WangDepartment of Laboratory Medicine, Affiliated Nantong No. 3 Hospital of Nantong University, Nantong, Jiangsu, China.
Gang HanDepartment of Laboratory Medicine, Affiliated Nantong No. 3 Hospital of Nantong University, Nantong, Jiangsu, China.
Shouzhong FuDepartment of Intervention, Affiliated Nantong No. 3 Hospital of Nantong University, Nantong, Jiangsu, China.
Jianxin WangDepartment of Liver and Gall Surgery, Affiliated Nantong No. 3 Hospital of Nantong University, Nantong, Jiangsu, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsHepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) is prevalent worldwide. Despite its limitations, serum alpha-fetoprotein (AFP) remains the most widely-used biomarker for the diagnosis of HCC. This study aimed to assess whether measurement of peripheral plasma Dickkopf-1 (DKK1) and Tie2-expressing monocytes (TEMs) could overcome the limitations of AFP and improve the diagnostic accuracy of HCC.

methodsPlasma DKK1 level and the percentage of TEMs in peripheral CD14+CD16+ monocytes from HCC patients (n = 82), HBV-related liver cirrhosis (LC) patients (n = 29), chronic hepatitis B (CHB) infected patients (n = 28) and healthy volunteers (n = 31) were analyzed by ELISA and flow cytometry. Receiver operating characteristic (ROC) curves were used to analyze a single biomarker, or a combination of two or three biomarkers. Univariate and multivariate analyses were performed to assess the significance of each marker in prediction of HCC and AFP-negative HCC from LC patients.

resultsThe percentage of TEMs in peripheral CD14+CD16+ monocytes and plasma level of DKK1 in HCC group were significantly higher than those in LC, CHB and healthy control groups (all P-values <0.05). The percentage of TEMs alone was also significantly higher in AFP-negative HCC group than that in LC, CHB and healthy control groups (all P-values <0.05). Plasma DKK1 level alone could not distinguish between AFP-negative HCC and LC patients. ROC curves showed that the optimal diagnostic cutoff value was 550.93 ng/L for DKK1 and 4.95% for TEMs. There was no significant difference in AUC of DKK1, TEMs and AFP in HCC diagnosis between the four groups (all P>0.05). A combination of DKK1, TEMs and AFP measurements increased the AUC for HCC diagnosis as compared with either marker alone (0.833; 95%CI 0.768-0.886). The AUC for TEMs was 0.692 (95% CI 0.564-0.819) in differentiating AFP-negative HCC from LC, with a sensitivity of 80.0% and a specificity of 65.52%. Only TEMs prevailed as a significant predictor for AFP-negative HCC differentiating from LC patients in univariate and multivariate analyses (P = 0.016, P = 0.023).

conclusionsTEMs and DKK1 may prove to be potential complementary biomarkers for AFP in the diagnosis of HCC. TEMs rather than DKK1 could serve as a complementary biomarker for AFP in the differential diagnosis of AFP-negative HCC versus LC patients.

Indexed as

AdultAgedalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesDiagnosis, DifferentialFemaleHumansIntercellular Signaling Peptides and ProteinsLiver NeoplasmsMaleMiddle AgedMonocytesReceptor, TIE-2Sensitivity and Specificityalpha-FetoproteinsBiomarkers, TumorDKK1 protein, humanIntercellular Signaling Peptides and ProteinsReceptor, TIE-2

Identifiers

PMID28902891
PMCPMC5597119
OpenAlexW2754947017

What OpenQuestion holds

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LicenceCC BY
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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.