Evidence map›Paper›PMID 30760122›Full record

ReviewTechnology in cancer research & treatment2019

Exosomes: A Promising Avenue for the Diagnosis of Breast Cancer.

Yiming Meng, Jing Sun, Xiaonan Wang, Tingting Hu, Yushu Ma, Cuicui Kong, Haozhe Piao, Tao Yu, Guirong Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Exosome Processing and Characterization Approaches for Research and Technology Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  16. Review
  17. Article
  18. Epigenetic approaches for cervical neoplasia screening (Review).Experimental and therapeutic medicine · 2021
    Review
  19. Review
  20. 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

9 authors.

Yiming Meng1 Central laboratory, Cancer Hospital of China Medical University, Shenyang, China.
Jing Sun1 Central laboratory, Cancer Hospital of China Medical University, Shenyang, China.
Xiaonan Wang2 Department of Immunology, China Medical University, Shenyang, China.
Tingting Hu3 Department of Blood Bank, Cancer Hospital of China Medical University, Shenyang, China.
Yushu Ma1 Central laboratory, Cancer Hospital of China Medical University, Shenyang, China.
Cuicui Kong1 Central laboratory, Cancer Hospital of China Medical University, Shenyang, China.
Haozhe Piao4 Department of Medical Image, Cancer Hospital of China Medical University, Shenyang, China.
Tao Yu5 Department of Neurosurgery, Cancer Hospital of China Medical University, Shenyang, China.
Guirong Zhang1 Central laboratory, Cancer Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, despite the advances in individualized treatment, breast cancer still remains the deadliest form of cancer in women. Diagnostic, prognostic, and therapy-predictive methods are mainly based on the evaluation of tumor tissue samples and are aimed to improve the overall therapeutic level. Therefore, the exploration of a series of circulating biomarkers, which serve as the information source of tumors and could be obtained by peripheral blood samples, represents a high field of interest. Apart from classical biomarkers, exosomes, which are nanovesicles, are emerging as an accessible and efficient source of cell information. The purpose of this review is to summarize the peculiarities of the presently available breast cancer exosomal biomarkers; the review also provides the prediction of a multitude of potential target genes of exosomal microRNAs using 4 databases.

Indexed as

Biomarkers, TumorBreast NeoplasmsExosomesFemaleHumansPrognosisBiomarkers, Tumorbreast cancerdiagnosticsexosomemiRNAprotein

Identifiers

PMID30760122
PMCPMC6373987

What OpenQuestion holds

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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.