Evidence map›Paper›PMID 26487969›Full record

ArticleCancer biology & medicine2015

Quantitative proteomic analysis for high-throughput screening of differential glycoproteins in hepatocellular carcinoma serum.

Hua-Jun Gao, Ya-Jing Chen, Duo Zuo, Ming-Ming Xiao, Ying Li, Hua Guo, Ning Zhang, Rui-Bing Chen

Open access · greenAbstract read
In one paragraph

Article in Cancer biology & medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

23 citing papers in PubMed, 27 citations in OpenAlex.

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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 1 institution in 1 country.

Hua-Jun Gao1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Ya-Jing Chen1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Duo Zuo1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Ming-Ming Xiao1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Ying Li1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Hua Guo1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Ning Zhang1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Rui-Bing Chen1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths. Novel serum biomarkers are required to increase the sensitivity and specificity of serum screening for early HCC diagnosis. This study employed a quantitative proteomic strategy to analyze the differential expression of serum glycoproteins between HCC and normal control serum samples.

methodsLectin affinity chromatography (LAC) was used to enrich glycoproteins from the serum samples. Quantitative mass spectrometric analysis combined with stable isotope dimethyl labeling and 2D liquid chromatography (LC) separations were performed to examine the differential levels of the detected proteins between HCC and control serum samples. Western blot was used to analyze the differential expression levels of the three serum proteins.

resultsA total of 2,280 protein groups were identified in the serum samples from HCC patients by using the 2D LC-MS/MS method. Up to 36 proteins were up-regulated in the HCC serum, whereas 19 proteins were down-regulated. Three differential glycoproteins, namely, fibrinogen gamma chain (FGG), FOS-like antigen 2 (FOSL2), and α-1,6-mannosylglycoprotein 6-β-N-acetylglucosaminyltransferase B (MGAT5B) were validated by Western blot. All these three proteins were up-regulated in the HCC serum samples.

conclusionA quantitative glycoproteomic method was established and proven useful to determine potential novel biomarkers for HCC.

Indexed as

Glycoproteinhepatocellular carcinoma (HCC)mass spectrometryproteomicsserum

Identifiers

PMID26487969
PMCPMC4607824
OpenAlexW2137696271

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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.