Evidence map›Paper›PMID 35629194›Full record

ReviewJournal of personalized medicine2022

Extracellular Vesicles-A New Potential Player in the Immunology of Renal Cell Carcinoma.

Marcin Kleibert, Miłosz Majka, Klaudia Łakomska, Małgorzata Czystowska-Kuźmicz

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 1 country.

Marcin KleibertLaboratory of Centre for Preclinical Research, Department of Experimental and Clinical Physiology, Medical University of Warsaw, Banacha 1b St., 02-097 Warsaw, Poland.ORCID 0000-0003-1562-8450
Miłosz MajkaLaboratory of Centre for Preclinical Research, Department of Experimental and Clinical Physiology, Medical University of Warsaw, Banacha 1b St., 02-097 Warsaw, Poland.ORCID 0000-0002-8305-7779
Klaudia ŁakomskaFaculty of Medicine, Wroclaw Medical University, Wybrzeże L. Pasteura 1 St., 50-367 Wrocław, Poland.
Małgorzata Czystowska-KuźmiczChair and Department of Biochemistry, Medical University of Warsaw, Banacha 1 St., 02-097 Warszawa, Poland.ORCID 0000-0001-9169-6194
Medical University of Warsaw · PLWroclaw Medical University · PL

Funding

Polish National Agency for Academic Exchange PPI/APM/2019/1/00051/V/00001
6 · The paper itself

Abstract

The incidence of renal cell carcinoma (RCC) has doubled in the developed world within the last fifty years, and now it is responsible for 2-3% of diagnosed cancers. The delay in diagnosis and the not fully understood pathogenesis are the main challenges that have to be overcome. It seems that extracellular vesicles (EVs) are one of the key players in tumor development since they ensure a proper microenvironment for the tumor cells. The stimulation of angiogenesis and immunosuppression is mediated by molecules contained in EVs. It was shown that EVs derived from cancer cells can inhibit T cell proliferation, natural killer lymphocyte activation, and dendritic cell maturation by this mechanism. Moreover, EVs may be a biomarker for the response to anti-cancer treatment. In this review, we sum up the knowledge about the role of EVs in RCC pathogenesis and show their future perspectives in this field.

Indexed as

cancer immunologycancer-induced immunosuppressiondiagnosisexosomesextracellular vesiclesprognostic factorrenal cell carcinoma

Identifiers

PMID35629194
PMCPMC9144962
OpenAlexW4229455731

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.