Evidence map›Paper›PMID 37762660›Full record

ReviewInternational journal of molecular sciences2023

Exosomes in the Diagnosis and Treatment of Renal Cell Cancer.

Stergios Boussios, Perry Devo, Iain C A Goodall, Konstantinos Sirlantzis, Aruni Ghose, Sayali D Shinde, Vasileios Papadopoulos, Elisabet Sanchez, Elie Rassy, Saak V Ovsepian

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  12. The Role of microRNA in the Prognosis and Diagnosis of Ovarian Cancer.International journal of molecular sciences · 2025
    Review
  13. Article
  14. miR395e fromGenes · 2025
    Article
  15. Clear cell renal carcinoma essentially requires CDKL3 for oncogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

10 authors at 7 institutions in 2 countries.

Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.ORCID 0000-0002-2512-6131
Perry DevoSchool of Sciences, Faculty of Engineering and Science, University of Greenwich, Chatham Maritime ME4 4TB, UK.ORCID 0000-0003-1487-8896
Iain C A GoodallSchool of Sciences, Faculty of Engineering and Science, University of Greenwich, Chatham Maritime ME4 4TB, UK.
Konstantinos SirlantzisSchool of Engineering, Technology and Design, Canterbury Christ Church University, Canterbury CT1 1QU, UK.
Aruni GhoseDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.ORCID 0000-0001-8332-8033
Sayali D ShindeCentre for Tumour Biology, Barts Cancer Institute, Cancer Research UK Barts Centre, Queen Mary University of London, London EC1M 6BQ, UK.
Vasileios PapadopoulosDepartment of Urology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.
Elisabet SanchezDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.
Elie RassyDepartment of Medical Oncology, Gustave Roussy Institut, 94805 Villejuif, France.ORCID 0000-0002-7906-0991
Saak V OvsepianSchool of Sciences, Faculty of Engineering and Science, University of Greenwich, Chatham Maritime ME4 4TB, UK.
University of Greenwich · GBMedway NHS Foundation Trust · GBBarts Health NHS Trust · GBCanterbury Christ Church University · GBInstitut Gustave Roussy · FRMedway School of Pharmacy · GBQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is the most prevalent type of kidney cancer originating from renal tubular epithelial cells, with clear cell RCC comprising approximately 80% of cases. The primary treatment modalities for RCC are surgery and targeted therapy, albeit with suboptimal efficacies. Despite progress in RCC research, significant challenges persist, including advanced distant metastasis, delayed diagnosis, and drug resistance. Growing evidence suggests that extracellular vesicles (EVs) play a pivotal role in multiple aspects of RCC, including tumorigenesis, metastasis, immune evasion, and drug response. These membrane-bound vesicles are released into the extracellular environment by nearly all cell types and are capable of transferring various bioactive molecules, including RNA, DNA, proteins, and lipids, aiding intercellular communication. The molecular cargo carried by EVs renders them an attractive resource for biomarker identification, while their multifarious role in the RCC offers opportunities for diagnosis and targeted interventions, including EV-based therapies. As the most versatile type of EVs, exosomes have attracted much attention as nanocarriers of biologicals, with multi-range signaling effects. Despite the growing interest in exosomes, there is currently no widely accepted consensus on their subtypes and properties. The emerging heterogeneity of exosomes presents both methodological challenges and exciting opportunities for diagnostic and clinical interventions. This article reviews the characteristics and functions of exosomes, with a particular reference to the recent advances in their application to the diagnosis and treatment of RCC.

Indexed as

Carcinoma, Renal CellExosomesKidney NeoplasmsAnimalsBiomarkers, TumorHumansBiomarkers, TumorexosomesmiRNAmRNArenal cell cancertumor drug resistancetumor microenvironment

Identifiers

PMID37762660
PMCPMC10531522
OpenAlexW4386879396

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.