Evidence map›Paper›PMID 21517111›Full record

ArticleJournal of proteome research2011

Using proteomic approach to identify tumor-associated proteins as biomarkers in human esophageal squamous cell carcinoma.

Jintao Zhang, Kaijuan Wang, Jianzhong Zhang, Samuel S Liu, Liping Dai, Jian-Ying Zhang

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 150 citations in OpenAlex.

  1. Serum autoantibodies in the early detection of esophageal cancer: a systematic review.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Pooled it
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  19. The Role of Keratin17 in Human Tumours.Frontiers in cell and developmental biology · 2022
    Review
  20. Article

17 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Jintao ZhangHenan key laboratory of Tumor Epidemiology & Proteomics Research Center, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Kaijuan Wang
Jianzhong Zhang
Samuel S Liu
Liping Dai
Jian-Ying Zhang
National Institute for Communicable Disease Control and Prevention · CNThe University of Texas at El Paso · USZhengzhou University · CN

Funding

TOXICOLOGY PROJECTG12RR008124 · NCRR · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 1992 to 2011
$20.8M
UTEP SCORE InstrumentationS06GM008012 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI DAS, SIDDHARTHA · 1989 to 2010
$15.8M
NCRR NIH HHS 5G12RR008124NCRR NIH HHS G12 RR008124NIGMS NIH HHS 2S06GM008012NIGMS NIH HHS S06 GM008012
6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers in China. The lower survival rate of ESCC is attributed to late diagnosis and poor therapeutic efficacy; therefore, the identification of tumor-associated proteins as biomarkers for early diagnosis, and the discovery of novel targets for therapeutic intervention, seems very important for increasing the survival rate of ESCC. To identify tumor-associated proteins as biomarkers in ESCC, we have analyzed ESCC tissues and adjacent normal tissues by two-dimensional electrophoresis (2DE) and matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) analysis. The results showed that a total of 104 protein spots with different expression levels were found on 2DE, and 47 proteins were eventually identified by MALDI-TOF MS. Among these identified proteins, 33 proteins including keratin 17 (KRT17), biliverdin reductase B (BLVRB), proteasome activator subunit 1 (PSME1), manganese superoxide dismutase (MnSOD), high-mobility group box-1(HMGB1), heat shock protein 70 (HSP70), peroxiredoxin (PRDX1), keratin 13 (KRT13), and so on were overexpressed, and 14 proteins including cystatin B (CSTB), tropomyosin 2 (TPM2), annexin 1 (ANX1), transgelin (TAGLN), keratin 19 (KRT19), stratifin (SFN), and so on were down-expressed in ESCC. Biological functions of these proteins are associated with cell proliferation, cell motility, protein folding, oxidative stress, and signal transduction. In the subsequent study using immunoassay on ESCC serum samples and tissue-array slides, two representative proteins, HSP70 and HMGB1, were selected as examples for the purpose of validation. The results showed that both HSP70 and HMGB1 can induce autoantibody response in ESCC sera and have higher expression in ESCC tissues. Especially, the frequency of antibodies to HSP70 in ESCC sera was significantly higher than that in normal human sera. The preliminary results suggest that some of these identified proteins might contribute to esophageal cell differentiation and carcinogenesis, certain proteins could be used as tumor-associated antigen (TAA) biomarkers in cancer diagnosis, and further studies on these identified proteins should provide more evidence of how these proteins are involved in carcinogenesis of ESCC.

Indexed as

Antibodies, NeoplasmAntigens, NeoplasmBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesElectrophoresis, Gel, Two-DimensionalEsophageal NeoplasmsGene Expression Regulation, NeoplasticHMGB1 ProteinHSP70 Heat-Shock ProteinsHumansProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAntibodies, NeoplasmAntigens, NeoplasmBiomarkers, TumorHMGB1 ProteinHSP70 Heat-Shock Proteins

Identifiers

PMID21517111
PMCPMC3119842
OpenAlexW1966634943

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.