Evidence map›Paper›PMID 34122615›Full record

ArticleComputational and mathematical methods in medicine2021

Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Yifei Liu, Wenqiang Fu, Xiaoning Cao, Shuopeng Li, Tianyu Xiong, Xiaolei Zhang, Xiaotang Wu, Ling Cheng, Yanbing Wei, Bin Gao

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Atrial Fibroblasts-Derived Extracellular Vesicles Exacerbate Atrial Arrhythmogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  8. Exosomes in the Diagnosis and Treatment of Renal Cell Cancer.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yifei LiuDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0003-1030-8618
Wenqiang FuDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0001-7627-6351
Xiaoning CaoDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0002-5219-237X
Shuopeng LiDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0001-5662-8778
Tianyu XiongDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0003-0187-3543
Xiaolei ZhangDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0002-3469-4448
Xiaotang WuShanghai Engineering Research Center of Pharmaceutical Translation, 200231 Shanghai, China.ORCID https://orcid.org/0000-0002-2802-2311
Ling ChengShanghai Engineering Research Center of Pharmaceutical Translation, 200231 Shanghai, China.ORCID https://orcid.org/0000-0003-0569-0998
Yanbing WeiShanghai Engineering Research Center of Pharmaceutical Translation, 200231 Shanghai, China.ORCID https://orcid.org/0000-0001-5222-2711
Bin GaoDepartment of Urology, Tangshan Central Hospital, 063000 Tangshan, China.ORCID https://orcid.org/0000-0002-3644-7002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesClear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Cancer-associated fibroblasts (CAFs) as the primary components of cancer stroma can affect tumor progression by secreting exosomes, while exosomes are carriers for proteins, nucleic acids, and other agents that responsible for delivery of biological information. Given this, exosomes derived from CAFs are emerging as promising biomarkers in clinical cancer diagnosis. Nevertheless, their role in clear cell renal cell carcinoma (ccRCC) remains poorly understood.

methodsHere, we separated fibroblasts from ccRCC tissue, extracted exosomes, observed their morphology, and detected the expression of exosome marker proteins including Hsp70, CD9, and CD63. In the meantime, we labeled exosomes and performed coculture experiment to verify the delivery of miR-224-5p from CAFs to 769-P cells with exosomes as a carrier, so as to clarify the effect of CAF-derived exosomes on ccRCC cell malignant behaviors, as well as to discuss how miR-224-5p involves in above regulation.

resultsTransmission electron microscopy was firstly applied, and it was noted that the exosomes we isolated were in normal range. Besides, Western blot also confirmed the presence of exosome marker proteins Hsp70, CD9, and CD63. Furthermore, coculture experiments were performed and the CAF-derived exosomes were observed to be able to facilitate the malignant behaviors of ccRCC cells, and the exosomal miR-224-5p could be internalized by ccRCC cells to participate in regulation of cell proliferation, migration, invasion, and apoptosis.

conclusionTo sum up, miR-224-5p can enter ccRCC cells via CAF-derived exosomes, in turn, promoting the malignant behaviors of ccRCC cells, which indicates that miR-224-5p has the potential severing as a therapeutic target for ccRCC.

Indexed as

ApoptosisBiological Transport, ActiveBiomarkers, TumorCancer-Associated FibroblastsCarcinoma, Renal CellCell Line, TumorCell MovementCell ProliferationCoculture TechniquesComputational BiologyDisease ProgressionExosomesGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMicroRNAsBiomarkers, TumorMicroRNAsMIRN224 microRNA, human

Identifiers

PMID34122615
PMCPMC8169240
OpenAlexW3164419536

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.