Evidence map›Paper›PMID 23915185›Full record

ArticleDiagnostic pathology2013

Serum peptidome patterns of hepatocellular carcinoma based on magnetic bead separation and mass spectrometry analysis.

Xia Ying, Su-xia Han, Jun-lan Wang, Xia Zhou, Gui-hua Jin, Long Jin, Hao Wang, Lei Wu, Jianying Zhang, Qing Zhu

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Article in Diagnostic pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Xia YingDepartment of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, PR China.
Su-xia Han
Jun-lan Wang
Xia Zhou
Gui-hua Jin
Long Jin
Hao Wang
Lei Wu
Jianying Zhang
Qing Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is one of the most common cancers in the world,and the identification of biomarkers for the early detection is a relevant target. The purpose of the study is to discover specific low molecular weight (LMW) serum peptidome biomarkers and establish a diagnostic pattern for HCC.

methodsWe undertook this pilot study using a combined application of magnetic beads with Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) technique and ClinPro Tools v2.2 to detect 32 patients with HCC, 16 patients with chronic hepatitis (CH), 16 patients with liver cirrhosis (LC) and 16 healthy volunteers.

resultsThe results showed 49, 33 and 37 differential peptide peaks respectively appeared in HCC, LC and CH groups. A Supervised Neural Network (SNN) algorithm was used to set up the classification model. Eleven of the identified peaks at m/z 5247.62, 7637.05, 1450.87, 4054.21, 1073.37, 3883.64, 5064.37, 4644.96, 5805.51, 1866.47 and 6579.6 were used to construct the peptides patterns. According to the model, we could clearly distinguish between HCC patients and healthy controls as well as between LC or CH patients and healthy controls.

conclusionsThe study demonstrated that a combined application of magnetic beads with MALDI-TOF MB technique was suitable for identification of potential serum biomarkers for HCC and it is a promising way to establish a diagnostic pattern. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1503629821958720.

Indexed as

Immunomagnetic SeparationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAlgorithmsBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesDiagnosis, DifferentialHepatitis, ChronicHumansLiver CirrhosisLiver NeoplasmsMolecular WeightPilot ProjectsPredictive Value of TestsProteomicsBiomarkers, Tumor

Identifiers

PMID23915185
PMCPMC3751178

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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.