Evidence map›Paper›PMID 25778709›Full record

ArticleProteomics2015

LC-MS/MS-based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma.

Tsung-Heng Tsai, Ehwang Song, Rui Zhu, Cristina Di Poto, Minkun Wang, Yue Luo, Rency S Varghese, Mahlet G Tadesse, Dina Hazem Ziada, Chirag S Desai and 3 more

Abstract read
In one paragraph

Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Tear fluid database: a reference website for tear fluid proteomics.Database : the journal of biological databases and curation · 2026
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  13. Multimerin-1 and cancer: a review.Bioscience reports · 2022
    Review
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  15. Review
  16. Exploration of the Nurse Shark (Frontiers in immunology · 2022
    Article
  17. A Multi-center Genome-wide Association Study of Cervical Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  18. Benchmarking mass spectrometry based proteomics algorithms using a simulated database.Network modeling and analysis in health informatics and bioinformatics · 2021
    Article
  19. Article
  20. 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

13 authors.

Tsung-Heng TsaiDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Ehwang SongDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Rui ZhuDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Cristina Di PotoDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Minkun WangDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Yue LuoDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Rency S VargheseDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Mahlet G TadesseDepartment of Mathematics and Statistics, Georgetown University, Washington, DC, USA.
Dina Hazem ZiadaDepartment of Tropical Medicine and Infectious Diseases, Tanta University, Tanta, Egypt.
Chirag S DesaiMedStar Georgetown University Hospital and Georgetown University Medical Center, Washington, DC, USA.
Kirti ShettyJohns Hopkins University, Gastroenterology & Hepatology at Sibley, Washington, DC, USA.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Habtom W RessomDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.

Funding

Analysis of LC-MS data to identify peptide and glycan biomarkers for hepatocellulR01CA143420 · NCI · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2010 to 2014
$1.4M
Quantitative analysis of LC-MS data for peptide and glycan biomarker discoveryR01GM086746 · NIGMS · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2010 to 2014
$1.3M
NCI NIH HHS R01 CA143420NCI NIH HHS R01CA143420NIGMS NIH HHS R01 GM086746NIGMS NIH HHS R01GM086746
6 · The paper itself

Abstract

Associating changes in protein levels with the onset of cancer has been widely investigated to identify clinically relevant diagnostic biomarkers. In the present study, we analyzed sera from 205 patients recruited in the United States and Egypt for biomarker discovery using label-free proteomic analysis by LC-MS/MS. We performed untargeted proteomic analysis of sera to identify candidate proteins with statistically significant differences between hepatocellular carcinoma (HCC) and patients with liver cirrhosis. We further evaluated the significance of 101 proteins in sera from the same 205 patients through targeted quantitation by MRM on a triple quadrupole mass spectrometer. This led to the identification of 21 candidate protein biomarkers that were significantly altered in both the United States and Egyptian cohorts. Among the 21 candidates, ten were previously reported as HCC-associated proteins (eight exhibiting consistent trends with our observation), whereas 11 are new candidates discovered by this study. Pathway analysis based on the significant proteins reveals upregulation of the complement and coagulation cascades pathway and downregulation of the antigen processing and presentation pathway in HCC cases versus patients with liver cirrhosis. The results of this study demonstrate the power of combining untargeted and targeted quantitation methods for a comprehensive serum proteomic analysis, to evaluate changes in protein levels and discover novel diagnostic biomarkers. All MS data have been deposited in the ProteomeXchange with identifier PXD001171 (http://proteomecentral.proteomexchange.org/dataset/PXD001171).

Indexed as

Carcinoma, HepatocellularChromatography, LiquidFemaleHumansLiver NeoplasmsMaleMiddle AgedProteomicsTandem Mass SpectrometryBiomedicineCancer biomarker discoveryHepatocellular carcinomaLC-MS/MSLiver cirrhosisMRM

Identifiers

PMID25778709
PMCPMC4490019

What OpenQuestion holds

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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.