Evidence map›Paper›PMID 41195336›Full record

ReviewFrontiers in cell and developmental biology2025

Extracellular vesicle-derived microRNAs in renal cell carcinoma: biological roles and clinical applications.

Jiahui He, Lanfeng Wang, Bingqing Yu, Wengbin Huang, Chen Ouyang, Mingcan Zhou, Rong Hu, Zhiping Chen

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jiahui HeDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Lanfeng WangDepartment of Nephrology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Bingqing YuDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Wengbin HuangDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Chen OuyangFirst Clinical Medical College, Gannan Medical University, Ganzhou, Jiangxi, China.
Mingcan ZhouDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Rong HuDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Zhiping ChenDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a common malignant tumour of the urinary system, characterised by high heterogeneity and a tendency to metastasise, with poor prognosis in advanced patients. Although surgical resection and targeted therapies such as tyrosine kinase inhibitors and immune checkpoint inhibitors have significantly improved survival outcomes in some patients, drug resistance and recurrence remain clinical challenges. In recent years, extracellular vesicles (EVs) and the microRNAs (miRNAs) they carry have emerged as a research hotspot due to their critical roles in tumour initiation, progression, immune regulation, and drug resistance. This systematic review summarises the biological functions of EVs-derived miRNAs in renal cell carcinoma and their potential applications in clinical diagnosis and treatment, with a focus on their value in diagnosis, prognosis, immune regulation, and prediction of treatment response.

Indexed as

biomarkerextracellular vesicleskidney cancermiRNAsrenal cell carcinoma

Identifiers

PMID41195336
PMCPMC12583823

What OpenQuestion holds

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Registered trials

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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.