Evidence map›Paper›PMID 33224198›Full record

ReviewJournal of oncology2020

Exosomal Long Noncoding RNAs: Insights into Emerging Diagnostic and Therapeutic Applications in Lung Cancer.

Mohammad Reza Karimzadeh, Mohammad Reza Seyedtaghia, Mohammad Soudyab, Maria Nezamnia, Jason Kidde, Amirhossein Sahebkar

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. The Role of Exosomes and Their Applications in Cancer.International journal of molecular sciences · 2021
    Review
  4. Review
  5. 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

6 authors at 3 institutions in 2 countries.

Mohammad Reza KarimzadehDepartment of Medical Genetics, School of Medicine, Bam University of Medical Sciences, Bam, Iran.
Mohammad Reza SeyedtaghiaDepartment of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad SoudyabDepartment of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Maria NezamniaDepartment of Obstetrics and Gynecology, School of Medicine, Bam University of Medical Sciences, Bam, Iran.
Jason KiddeDepartment of Emergency Medicine, University of Utah, Salt Lake City, UT, USA.
Amirhossein SahebkarBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-8656-1444
Mashhad University of Medical Sciences · IRBam University of Medical Sciences · IRUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common cause of cancer-related deaths worldwide. Annually, millions of people die from lung cancer because of late detection and ineffective therapies. Recently, exosomes have been introduced as new therapeutic players with the potential to improve upon current diagnostic and treatment options. Exosomes are small membranous vesicles produced during endosomal merging. This allows for cell packaging of nucleic acids, proteins, and lipids and transfer to adjacent or distant cells. While exosomes are a part of normal intercellular signaling, they also allow malignant cells to transfer oncogenic material leading to tumor spread and metastasis. Exosomes are an interesting field of discovery for biomarkers and therapeutic targets. Among exosomal materials, lncRNAs have priority; lncRNAs are a class of noncoding RNAs longer than 200 base pairs. In the case of cancer, primary interest regards their oncogene and tumor suppressor functions. In this review, the advantages of exosomal lncRNAs as biomarkers and therapeutic targets will be discussed in addition to reviewing studies of their application in lung cancer.

Identifiers

PMID33224198
PMCPMC7671817
OpenAlexW3100765663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.