Evidence map›Paper›PMID 31044053›Full record

ArticleJournal of extracellular vesicles2019

Tumor-secreted extracellular vesicles promote the activation of cancer-associated fibroblasts via the transfer of microRNA-125b.

Luyen Tien Vu, Boya Peng, Daniel Xin Zhang, Victor Ma, Camille A Mathey-Andrews, Chun Kuen Lam, Theodoros Kiomourtzis, Jingmin Jin, Larry McReynolds, Linfeng Huang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

89 citing papers in PubMed, 135 citations in OpenAlex.

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  11. Potential biological roles of exosomal non-coding RNAs in breast cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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29 more citing papers are in PubMed but not listed here.

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

14 authors at 6 institutions in 4 countries.

Luyen Tien VuDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.ORCID 0000-0002-4953-6469
Boya PengDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.ORCID 0000-0002-9956-0889
Daniel Xin ZhangDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.ORCID 0000-0001-8561-6928
Victor MaDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Camille A Mathey-AndrewsProgram in Cellular and Molecular Medicine, Boston Children's Hospital, and Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Chun Kuen LamDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.
Theodoros KiomourtzisEberhard Karls University of Tübingen, Tübingen, Germany.
Jingmin JinNew England Biolabs, Ipswich, MA, USA.
Larry McReynoldsNew England Biolabs, Ipswich, MA, USA.
Linfeng HuangDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.ORCID 0000-0002-0322-4929
Andrew GrimsonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.ORCID 0000-0003-4174-4586
Judy LiebermanProgram in Cellular and Molecular Medicine, Boston Children's Hospital, and Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Minh Tn LeDepartment of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong.ORCID 0000-0002-6077-1566
City University of Hong Kong · HKBoston Children's Hospital · USNew England Biolabs (United States) · USQueen Elizabeth Hospital · CNCornell University · USUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour cells release large quantities of extracellular vesicles (EVs) to mediate their interactions with other cells in the tumour microenvironment. To identify host cells that naturally take up EVs from tumour cells, we created breast cancer cell lines secreting fluorescent EVs. These fluorescent EVs are taken up most robustly by fibroblasts within the tumour microenvironment. RNA sequencing indicated that miR-125b is one of the most abundant microRNAs secreted by mouse triple-negative breast cancer 4T1 and 4TO7 cells. Treatment with 4T1 EVs leads to an increase in fibroblast activation in isogenic 4TO7 tumours, which is reversed by blocking miR-125b in 4T1 EVs; hence, miR-125b delivery by EVs is responsible for fibroblast activation in mouse tumour models. miR-125b is also secreted by human breast cancer cells and the uptake of EVs from these cells significantly increases cellular levels of miR-125b and expression of multiple cancer-associated fibroblast markers in resident fibroblasts. Overexpression of miR-125b in both mouse and human fibroblasts leads to an activated phenotype similar to the knockdown of established miR-125b target mRNAs. These data indicate that miR-125b is transferred through EVs from breast cancer cells to normal fibroblasts within the tumour microenvironment and contributes to their development into cancer-associated fibroblasts.

Indexed as

breast cancercancer-associated fibroblastsExtracellular vesiclesmicroRNAs

Identifiers

PMID31044053
PMCPMC6484490
OpenAlexW2937501395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.