Evidence map›Paper›PMID 28977922›Full record

ArticleOncotarget2017

Identification of CD14 as a potential biomarker of hepatocellular carcinoma using iTRAQ quantitative proteomics.

Jiao Guo, Rui Jing, Jian-Hong Zhong, Xin Dong, Yun-Xi Li, Yin-Kun Liu, Tian-Ren Huang, Chun-Yan Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  14. Molecular Inhibitor of QSOX1 Suppresses Tumor GrowthMolecular cancer therapeutics · 2020
    Article
  15. BiomarkersWorld journal of clinical cases · 2019
    Review
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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

8 authors at 4 institutions in 1 country.

Jiao GuoExperimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Rui JingExperimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Jian-Hong ZhongHepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Xin DongExperimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Yun-Xi LiCancer Registry Department, People's Hospital of Fusui County, Fusui, Guangxi, PR China.
Yin-Kun LiuLiver Cancer Institute, Zhongshan Hospital, Fudan University, Yangpu, Shanghai, PR China.
Tian-Ren HuangExperimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Chun-Yan ZhangExperimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Tumor Hospital of Guangxi Medical University · CNBinzhou Medical University · CNFuda Cancer Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors without effective diagnostic biomarkers. This study intended to dynamically analyze serum proteomics in different pathological stages of liver diseases, and discover potential diagnostic biomarkers for early HCC. Patients with hepatitis B virus (HBV) infection, liver cirrhosis (LC), or HCC together with healthy controls (HC) were enrolled. Proteins differentially expressed between groups were screened using isobaric tagging for relative and absolute quantitation (iTRAQ), and promising HCC biomarker candidates were subjected to bioinformatics analysis, including K-means clustering, gene ontology (GO) and string network analysis. Potential biomarkers were validated by Western blotting and enzyme-linked immunosorbent assay (ELISA), and their diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Finally, 93 differentially expressed proteins were identified, of which 43 differed between HBV and HC, 70 between LC and HC, and 51 between HCC and HC. Expression levels of gelsolin (GELS) and sulfhydryl oxidase 1 (QSOX1) varied with disease state as follows: HC < HBV < LC < HCC. The reverse trend was observed with CD14. These iTRAQ results were confirmed by Western blotting and ELISA. Logistic regression and ROC curve analysis identified the optimal cut-off for alpha-fetoprotein (AFP), CD14 and AFP/CD14 was 191.4 ng/mL (AUC 0.646, 95%CI 0.467-0.825, sensitivity 31.6%, specificity 94.4%), 3.16 ng/mL (AUC 0.760, 95%CI 0.604-0.917, sensitivity 94.7%, specificity 50%) and 0.197 ng/mL (AUC 0.889, 95%CI 0.785-0.993, sensitivity 84.2%, specificity 83.3%) respectively. In conclusion, Assaying CD14 levels may complement AFP measurement for early detection of HCC.

Indexed as

biomarkerCD14diagnosishepatocellular carcinoma (HCC)iTRAQ

Identifiers

PMID28977922
PMCPMC5617482
OpenAlexW2733818429

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.