Evidence map›Paper›PMID 35033106›Full record

ReviewJournal of translational medicine2022

Evaluation of exosomal non-coding RNAs in cancer using high-throughput sequencing.

Kamran Hosseini, Maryam Ranjbar, Abbas Pirpour Tazehkand, Parina Asgharian, Soheila Montazersaheb, Vahideh Tarhriz, Tohid Ghasemnejad

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Circular RNA in Exosomes and Its Clinical Significance.Advances in experimental medicine and biology · 2025
    Review
  11. Application of engineered exosomes in tumor therapy.American journal of translational research · 2025
    Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. In vitro naive CD4Molecular biology reports · 2023
    Article
  17. Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023
    Review
  18. Non-Coding RNAs and Adipogenesis.International journal of molecular sciences · 2023
    Review
  19. Article
  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

7 authors.

Kamran HosseiniDepartment of Molecular Medicine, Faculty of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam RanjbarDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Abbas Pirpour TazehkandDepartment of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Parina AsgharianDepartment of Pharmacognosy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Soheila MontazersahebMolecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Vahideh TarhrizMolecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran. t.tarhriz@yahoo.com.
Tohid GhasemnejadMolecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran. tohidgasemnejad@gmail.com.ORCID 0000-0002-4746-2320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical oncologists need more reliable and non-invasive diagnostic and prognostic biomarkers to follow-up cancer patients. However, the existing biomarkers are often invasive and costly, emphasizing the need for the development of biomarkers to provide convenient and precise detection. Extracellular vesicles especially exosomes have recently been the focus of translational research to develop non-invasive and reliable biomarkers for several diseases such as cancers, suggesting as a valuable source of tumor markers. Exosomes are nano-sized extracellular vesicles secreted by various living cells that can be found in all body fluids including serum, urine, saliva, cerebrospinal fluid, and ascites. Different molecular and genetic contents of their origin such as nucleic acids, proteins, lipids, and glycans in a stable form make exosomes a promising approach for various cancers' diagnoses, prediction, and follow-up in a minimally invasive manner. Since exosomes are used by cancer cells for intercellular communication, they play a critical role in the disease process, highlighting the importance of their use as clinically relevant biomarkers. However, regardless of the advantages that exosome-based diagnostics have, they suffer from problems regarding their isolation, detection, and characterization of their contents. This study reviews the history and biogenesis of exosomes and discusses non-coding RNAs (ncRNAs) and their potential as tumor markers in different types of cancer, with a focus on next generation sequencing (NGS) as a detection method. Moreover, the advantages and challenges associated with exosome-based diagnostics are also presented.

Indexed as

ExosomesExtracellular VesiclesNeoplasmsBiomarkers, TumorHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorBiomarkersCancerExosomencRNAsNGSNucleic acids

Identifiers

PMID35033106
PMCPMC8760667

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.