Evidence map›Paper›PMID 42645213›Full record

ReviewCells2026

Urine and Blood-Derived MicroRNAs in Patients with Kidney Cancer: A Review of Clinical Utility and Recent Developments.

Samuel Y R Chen, Serina Quach, Vladislav Nikitin, Jennifer A Linehan, Matias A Bustos

Abstract readReview
In one paragraph

Review in Cells, 2026. 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

5 authors.

Samuel Y R ChenDepartment of Translational and Precision Medicine, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, CA 90404, USA.ORCID 0009-0002-7054-6108
Serina QuachDepartment of Translational and Precision Medicine, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, CA 90404, USA.ORCID 0009-0004-7474-2792
Vladislav NikitinDepartment of Translational and Precision Medicine, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, CA 90404, USA.ORCID 0009-0002-3412-184X
Jennifer A LinehanDepartment of Urology and Urologic Oncology, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, CA 90404, USA.
Matias A BustosDepartment of Translational and Precision Medicine, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, CA 90404, USA.ORCID 0000-0001-9625-1127

Funding

Phase One Foundation
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is frequently detected incidentally, and no widely adopted noninvasive biomarkers are available for RCC diagnosis or prognosis. In this regard, cell-free microRNAs (cfmiRs) have emerged as promising candidates due to their stability in biological fluids. In this narrative review, we summarize translational studies published from 2010 to 2025 that evaluated serum, plasma, or urinary cfmiRs for RCC diagnosis, prognosis, recurrence surveillance, or treatment-response monitoring. Forty-two studies met inclusion criteria, comprising 3454 patients with RCC and 2445 healthy donors. Twenty-nine studies assessed diagnostic performance, fewer evaluated prognostic applications, and none examined treatment-response monitoring. Multi-miRNA panels generally reported higher performance than single-miRNA assays. Serum was the most frequently studied biofluid in this review (

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMicroRNAsBiomarkers, TumorHumansPrognosisBiomarkers, TumorMicroRNAsbloodcfmiRsdiagnosticextracellular vesiclesliquid biopsymicroRNAprognosticrenal cell carcinoma

Identifiers

PMID42645213
PMCPMC13511118

What OpenQuestion holds

Textmetadata
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.