Evidence map›Paper›PMID 34513695›Full record

ReviewFrontiers in oncology2021

Translational Potential of RNA Derived From Extracellular Vesicles in Multiple Myeloma.

Antonia Reale, Tiffany Khong, Sridurga Mithraprabhu, Andrew Spencer

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

4 authors at 3 institutions in 1 country.

Antonia RealeMyeloma Research Group, Australian Centre for Blood Diseases, Central Clinical School, Monash University/Alfred Health, Melbourne, VIC, Australia.
Tiffany KhongMyeloma Research Group, Australian Centre for Blood Diseases, Central Clinical School, Monash University/Alfred Health, Melbourne, VIC, Australia.
Sridurga MithraprabhuMyeloma Research Group, Australian Centre for Blood Diseases, Central Clinical School, Monash University/Alfred Health, Melbourne, VIC, Australia.
Andrew SpencerMyeloma Research Group, Australian Centre for Blood Diseases, Central Clinical School, Monash University/Alfred Health, Melbourne, VIC, Australia.
Monash University · AUAlfred Health · AUThe Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cross-talk between tumour cells and stromal cells is a hallmark of multiple myeloma (MM), a blood cancer that still remains incurable despite increased knowledge of its biology and advances in its treatment. Extracellular vesicles (EVs) derived from both tumour and stromal cells have been shown to play an important role in mediating this cross-talk ultimately favouring MM progression and drug resistance. Furthermore, EVs and their content including RNA (EV-RNA) have been successfully isolated from blood and are being explored as liquid biomarkers in MM with the potential to improve diagnosis and monitoring modalities with a minimally-invasive and repeatable analysis, i.e. liquid biopsy. In this review, we describe both the role of EV-RNA in defining the biological features of MM and their potential translational relevance as liquid biomarkers, therapeutic targets and delivery systems. We also discuss the limitations and technical challenges related to the isolation and characterization of EVs and provide a perspective on the future of MM-derived EV-RNA in translational research.

Indexed as

biomarkerextracellular vesiclesliquid biopsymyelomaRNAtranslational medicinetumour microenvironment

Identifiers

PMID34513695
PMCPMC8429596
OpenAlexW3197827002

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.