Evidence map›Paper›PMID 33912560›Full record

ReviewFrontiers in cell and developmental biology2021

Exosomal Non-coding RNAs-Mediated Crosstalk in the Tumor Microenvironment.

Qi Chen, Yuefeng Li, Yueqin Liu, Wenlin Xu, Xiaolan Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Qi ChenDepartment of Oncology and Central Laboratory, Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Yuefeng LiAffiliated People Hospital of Jiangsu University, Zhenjiang, China.
Yueqin LiuDepartment of Oncology and Central Laboratory, Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Wenlin XuDepartment of Oncology and Central Laboratory, Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Xiaolan ZhuDepartment of Oncology and Central Laboratory, Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Affiliated Hospital of Jiangsu University · CNChinese National Human Genome Center at Shanghai · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are secreted by different types of cells in tumor microenvironment (TME) and participate in multiple biological processes of tumors. Non-coding RNAs (ncRNAs) enveloped in exosomes and released to the TME are shown to be involved in tumorigenesis and development, as well as act as important intracellular communication mediators. However, the understanding on the exact regulatory functions and substrates of exosomal RNA is still at an early stage. In this review, we provided an overview on recent studies on exosomes mediating the modulation of both tumor cells and immune cells, then summarized the exosomal ncRNAs [such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs)] secreted by tumor cells and stromal cells that exhibited potential capabilities to regulate tumor cell growth, progression, metastasis, drug resistance, and immune response. Our review may hopefully inspire a deeper understanding on the ncRNAs' function as useful biomarkers for the diagnosis, prognosis, and as novel targets therapy for cancer.

Indexed as

biological functioncancerexosomesnon-coding RNAsstromal cells

Identifiers

PMID33912560
PMCPMC8072401
OpenAlexW3153813857

What OpenQuestion holds

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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.