Evidence map›Paper›PMID 27729735›Full record

ReviewWorld journal of gastroenterology2016

Recent advances in mass spectrometry-based proteomics of gastric cancer.

Changwon Kang, Yejin Lee, J Eugene Lee

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Human Gastric Juice: A Promising Source for Gastric Cancer Biomarkers.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Introducing crucial protein panel of gastric adenocarcinoma disease.Gastroenterology and hepatology from bed to bench · 2017
    Article
  13. Review
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

3 authors.

Changwon KangChangwon Kang, Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea.
Yejin LeeChangwon Kang, Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea.
J Eugene LeeChangwon Kang, Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last decade has witnessed remarkable technological advances in mass spectrometry-based proteomics. The development of proteomics techniques has enabled the reliable analysis of complex proteomes, leading to the identification and quantification of thousands of proteins in gastric cancer cells, tissues, and sera. This quantitative information has been used to profile the anomalies in gastric cancer and provide insights into the pathogenic mechanism of the disease. In this review, we mainly focus on the advances in mass spectrometry and quantitative proteomics that were achieved in the last five years and how these up-and-coming technologies are employed to track biochemical changes in gastric cancer cells. We conclude by presenting a perspective on quantitative proteomics and its future applications in the clinic and translational gastric cancer research.

Indexed as

Mass SpectrometryProteomicsTranslational Research, BiomedicalBiomarkers, TumorCell Line, TumorHumansIsotopesProtein Processing, Post-TranslationalProteomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStomach NeoplasmsBiomarkers, TumorIsotopesProteomeGastric cancerMass spectrometryProtein identificationProtein quantificationProteomics

Identifiers

PMID27729735
PMCPMC5055859

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.