Evidence map›Paper›PMID 29158313›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Extracellular vesicle-mediated cell-cell communication in haematological neoplasms.

Junko H Ohyashiki, Tomohiro Umezu, Kazuma Ohyashiki

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  20. Extracellular vesicles in the tumour microenvironment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
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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

3 authors at 1 institution in 1 country.

Junko H OhyashikiDepartment of Molecular Oncology, Institute of Medical Science, Tokyo, Japan junko@hh.iij4u.or.jp.ORCID http://orcid.org/0000-0002-5997-2790
Tomohiro UmezuDepartment of Molecular Oncology, Institute of Medical Science, Tokyo, Japan.
Kazuma OhyashikiDepartment of Hematology, Tokyo Medical University, Tokyo, Japan.
Tokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crosstalk between bone marrow tumour cells and surrounding cells, including bone marrow mesenchymal stromal cells (BM-MSCs), endothelial cells and immune cells, is important for tumour growth in haematological neoplasms. In addition to conventional signalling pathways, extracellular vesicles (EVs), which are endosome-derived vesicles containing proteins, mRNAs, lipids and miRNAs, can facilitate modulation of the bone marrow microenvironment without directly contacting non-tumourous cells. In this review, we discuss the current understanding of EV-mediated cell-cell communication in haematological neoplasms, particularly leukaemia and multiple myeloma. We highlight the actions of tumour and BM-MSC EVs in multiple myeloma. The origin of EVs, their tropism and mechanism of EV transfer are emerging issues that need to be addressed in EV-mediated cell-cell communication in haematological neoplasms.This article is part of the discussion meeting issue 'Extracellular vesicles and the tumour microenvironment'.

Indexed as

Cell CommunicationExtracellular VesiclesHematologic NeoplasmsHumansLeukemiaMultiple MyelomaTumor Microenvironmentbone marrow mesenchymal stromal cellsextracellular vesicleshypoxialeukaemiamiRNAmultiple myeloma

Identifiers

PMID29158313
PMCPMC5717438
OpenAlexW2769917707

What OpenQuestion holds

Textmetadata
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.