Evidence map›Paper›PMID 35066729›Full record

ReviewClinical and experimental medicine2023

Research progress on exosomal proteins as diagnostic markers of gastric cancer (review article).

Hang Su, Weihong Ren, Dai Zhang

Abstract readReview
In one paragraph

Review in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  3. The biological role of extracellular vesicles in gastric cancer metastasis.Frontiers in cell and developmental biology · 2024
    Review
  4. 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.

Hang SuThe First Clinical Medical Institute, Henan University of Chinese Medicine, No.156 Jinshui East Road, Zhengzhou, Henan Province, China.
Weihong RenDepartment of Laboratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, No.19 Renmin Road, Zhengzhou, 450000, Henan Province, China. ren_weihong@163.com.ORCID http://orcid.org/0000-0002-9944-4319
Dai ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, No.19 Renmin Road, Zhengzhou, 450000, Henan Province, China.

Funding

Basic research Project of Henan Provincial Key Scientific Research Project 19zx009Science and Technology Project for Tackling Key Problems of Henan Province 212102310639
6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most common types of tumors and the most common cause of cancer mortality worldwide. The diagnosis of GC is critical to its prevention and treatment. Available tumor markers are the crucial step for GC diagnosis. Recent studies have shown that proteins in exosomes are potential diagnostic and prognostic markers for GC. Exosomes, secreted by cells, are cup-shaped with a diameter of 30-150 nm under the electron microscope. They are also surrounded by lipid bilayers and are widely found in various body fluids. Exosomes contain proteins, lipids and nucleic acid. The examination of exosomal proteins has the advantages of quickness, easy sampling, and low pain and cost, as compared with the routine inspection method of GC, which may lead to marked developments in GC diagnosis. This article summarized the exosomal proteins with a diagnostic and prognostic potential in GC, as well as exosomal proteins involved in GC progression.

Indexed as

ExosomesMicroRNAsStomach NeoplasmsBiomarkers, TumorHumansPrognosisBiomarkers, TumorMicroRNAsDiagnosisExosomal proteinGastric cancer marker

Identifiers

PMID35066729
PMCPMC10224836

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.