Evidence map›Paper›PMID 35359397›Full record

ReviewFrontiers in oncology2022

Exosomes Regulate the Epithelial-Mesenchymal Transition in Cancer.

Jingwen Jiang, Jiayu Li, Xiumei Zhou, Xueqin Zhao, Biao Huang, Yuan Qin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.4field-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

44 citing papers in PubMed, 64 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

6 authors at 1 institution in 1 country.

Jingwen JiangCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Jiayu LiCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Xiumei ZhouCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Xueqin ZhaoCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Biao HuangCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Yuan QinCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Zhejiang Sci-Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are important mediators of intercellular communication and participate in complex biological processes by transferring a variety of bioactive molecules between cells. Epithelial-mesenchymal transition (EMT) is a process in which the cell phenotype changes from epithelioid to mesenchymal-like. EMT is also an important process for cancer cells by which they acquire invasive and metastatic capabilities, which aggravates the degree of tumor malignancy. Numerous studies have demonstrated that exosomes encapsulate various components, such as microRNAs and proteins, and transfer information between tumor cells or between tumor cells and the tumor microenvironment, thereby regulating the EMT process. Exosomes can also be used for cancer diagnosis and treatment or as a drug delivery platform. Thus, they can be used as a therapeutic tool to control the occurrence of EMT and affect cancer progression. In this review, we summarize the latest research advancements in the regulation of the EMT process in tumor cells by the contents of exosomes. Furthermore, we discuss the potential and challenges of using exosomes as a tool for cancer treatment.

Indexed as

cancercontents in exosomesepithelial–mesenchymal transitionexosometumor metastasis

Identifiers

PMID35359397
PMCPMC8964004
OpenAlexW4220850625

What Socratic 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 Socratic graph.