Evidence map›Paper›PMID 20557134›Full record

ArticleJournal of proteome research2010

Gastric cancer-specific protein profile identified using endoscopic biopsy samples via MALDI mass spectrometry.

Hark Kyun Kim, Michelle L Reyzer, Il Ju Choi, Chan Gyoo Kim, Hee Sung Kim, Akira Oshima, Oleg Chertov, Simona Colantonio, Robert J Fisher, Jamie L Allen and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. What gastric cancer proteomic studies show about gastric carcinogenesis?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  7. Differentially expressed proteins among normal cervix, cervical intraepithelial neoplasia and cervical squamous cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2015
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Comprehensive identification of proteins from MALDI imaging.Molecular & cellular proteomics : MCP · 2013
    Article
  14. Article
  15. Article
  16. Article
  17. Analysis of cancer tissues by means of spectroscopic methods.Contemporary oncology (Poznan, Poland) · 2012
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

12 authors.

Hark Kyun KimLaboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA.
Michelle L Reyzer
Il Ju Choi
Chan Gyoo Kim
Hee Sung Kim
Akira Oshima
Oleg Chertov
Simona Colantonio
Robert J Fisher
Jamie L Allen
Richard M Caprioli
Jeffrey E Green

Funding

Gastric Cancer Therapy and Genetically Engineered Mouse ModelsZIABC011230 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GREEN, JEFFREY E · 2009 to 2010
$753k
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC011230NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

To date, proteomic analyses on gastrointestinal cancer tissue samples have been performed using surgical specimens only, which are obtained after a diagnosis is made. To determine if a proteomic signature obtained from endoscopic biopsy samples could be found to assist with diagnosis, frozen endoscopic biopsy samples collected from 63 gastric cancer patients and 43 healthy volunteers were analyzed using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. A statistical classification model was developed to distinguish tumor from normal tissues using half the samples and validated with the other half. A protein profile was discovered consisting of 73 signals that could classify 32 cancer and 22 normal samples in the validation set with high predictive values (positive and negative predictive values for cancer, 96.8% and 91.3%; sensitivity, 93.8%; specificity, 95.5%). Signals overexpressed in tumors were identified as alpha-defensin-1, alpha-defensin-2, calgranulin A, and calgranulin B. A protein profile was also found to distinguish pathologic stage Ia (pT1N0M0) samples (n = 10) from more advanced stage (Ib or higher) tumors (n = 48). Thus, protein profiles obtained from endoscopic biopsy samples may be useful in assisting with the diagnosis of gastric cancer and, possibly, in identifying early stage disease.

Indexed as

Biomarkers, TumorBiopsyCase-Control StudiesDefensinsGastroscopyHumansLeukocyte L1 Antigen ComplexModels, StatisticalProteomicsSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStomach NeoplasmsBiomarkers, TumorDefensinsLeukocyte L1 Antigen Complex

Identifiers

PMID20557134
PMCPMC3441055

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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.