Evidence map›Paper›PMID 33490601›Full record

ArticleJournal of cancer metastasis and treatment2020

Extracellular RNAs as potential biomarkers for cancer.

Christine Happel, Aniruddha Ganguly, Danilo A Tagle

Open access · diamondAbstract read
In one paragraph

Article in Journal of cancer metastasis and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

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  10. Extracellular Vesicle RNA Contents as Biomarkers for Ocular Diseases.Advances in experimental medicine and biology · 2023
    Article
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  20. Clinical and Molecular Biomarkers for Diagnosis and Staging of NAFLD.International journal of molecular sciences · 2021
    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 at 2 institutions in 1 country.

Christine HappelNational Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
Aniruddha GangulyCancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute at the National Institutes of Health, Bethesda, MD 20892, USA.
Danilo A TagleNational Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
National Center for Advancing Translational Sciences · USNational Institutes of Health · US

Funding

Intramural NIH HHS Z99 TR999999
6 · The paper itself

Abstract

The discovery that all cells secrete extracellular vesicles (EVs) to shuttle proteins and nucleic acids to recipient cells suggested they play an important role in intercellular communication. EVs are widely distributed in many body fluids, including blood, cerebrospinal fluid, urine and saliva. Exosomes are nano-sized EVs of endosomal origin that regulate many pathophysiological processes including immune responses, inflammation, tumour growth, and infection. Healthy individuals release exosomes with a cargo of different RNA, DNA, and protein contents into the circulation, which can be measured non-invasively as biomarkers of healthy and diseased states. Cancer-derived exosomes carry a unique set of DNA, RNA, protein and lipid reflecting the stage of tumour progression, and may serve as diagnostic and prognostic biomarkers for various cancers. However, many gaps in knowledge and technical challenges in EVs and extracellular RNA (exRNA) biology, such as mechanisms of EV biogenesis and uptake, exRNA cargo selection, and exRNA detection remain. The NIH Common Fund-supported exRNA Communication Consortium was launched in 2013 to address major scientific challenges in this field. This review focuses on scientific highlights in biomarker discovery of exosome-based exRNA in cancer and its possible clinical application as cancer biomarkers.

Indexed as

biomarkercancerexosomesextracellular RNAExtracellular vesiclesliquid biopsy

Identifiers

PMID33490601
PMCPMC7821910
OpenAlexW3087130094

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.