Evidence map›Paper›PMID 38496750›Full record

ArticleJournal of extracellular biology2023

Prostate-derived circulating microRNAs add prognostic value to prostate cancer risk calculators.

Morgan L Zenner, Brenna Kirkpatrick, Trevor R Leonardo, Michael J Schlicht, Alejandra Cavazos Saldana, Candice Loitz, Klara Valyi-Nagy, Mark Maienschein-Cline, Peter H Gann, Michael Abern and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of extracellular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Morgan L ZennerDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Brenna KirkpatrickDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Trevor R LeonardoDepartment of Microbiology and Immunology, University of Illinois Chicago, Chicago, IL, USA.
Michael J SchlichtDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Alejandra Cavazos SaldanaDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Candice LoitzDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Klara Valyi-NagyDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Mark Maienschein-ClineResearch Resource Core Bioinformatics, University of Illinois at Chicago, Chicago, IL 60612, USA.
Peter H GannDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Michael AbernDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Larisa NonnDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.

Funding

microRNAs in Prostate-derived Exosomes as Prognostic Biomarkers and Mediators of Intercellular CommunicationF30CA243197 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZENNER, MORGAN LEIGH · 2020 to 2023
$180k
NCI NIH HHS F30 CA243197
6 · The paper itself

Abstract

Prostate cancer is the second leading cause of malignancy-related deaths among American men. Active surveillance is a safe option for many men with less aggressive disease, yet definitively determining low-risk cancer is challenging with biopsy alone. Herein, we sought to identify prostate-derived microRNAs in patient sera and serum extracellular vesicles, and determine if those microRNAs improve upon the current clinical risk calculators for prostate cancer prognosis before and after biopsy. Prostate-derived intracellular and extracellular vesicle-contained microRNAs were identified by small RNA sequencing of prostate cancer patient explants and primary cells. Abundant microRNAs were included in a custom microRNA PCR panel that was queried in whole serum and serum extracellular vesicles from a diverse cohort of men diagnosed with prostate cancer. The levels of these circulating microRNAs significantly differed between indolent and aggressive disease and improved the area under the curve for pretreatment nomograms of prostate cancer disease risk. The microRNAs within the extracellular vesicles were the most informative and improved the AUC to 0.739 compared to the existing nomogram alone, which has an AUC of 0.561. The microRNAs in the whole serum improved it to AUC 0.675. In summary, quantifying microRNAs circulating in extracellular vesicles is a clinically feasible assay that may provide additional information for assessing prostate cancer risk stratification.

Identifiers

PMID38496750
PMCPMC10938556

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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.