Evidence map›Paper›PMID 38839666›Full record

ArticleMedical oncology (Northwood, London, England)2024

Urinary extracellular vesicle-derived miR-126-3p predicts lymph node invasion in patients with high-risk prostate cancer.

Liang Dong, Cong Hu, Zehua Ma, Yiyao Huang, Greg Shelley, Morgan D Kuczler, Chi-Ju Kim, Kenneth W Witwer, Evan T Keller, Sarah R Amend and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Medical oncology (Northwood, London, England), 2024. 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Liang Dong *Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Cong Hu *Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Zehua Ma *Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Yiyao HuangDepartment of Laboratory Medicine & Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital Southern Medical University, Guangzhou, 510515, China.
Greg ShelleyBiointerfaces Institute, University of Michigan, Ann Arbor, MI, 48109, USA.
Morgan D KuczlerThe Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
Chi-Ju KimThe Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
Kenneth W WitwerDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Evan T KellerBiointerfaces Institute, University of Michigan, Ann Arbor, MI, 48109, USA.
Sarah R AmendThe Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
Wei XueDepartment of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. uroxuewei@163.com.
Kenneth J PientaThe Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA. kpienta1@jhmi.edu.ORCID http://orcid.org/0000-0002-4138-2186

Funding

Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KELLER, EVAN T · 2004 to 2024
$29.6M
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR33MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2020 to 2022
$2.2M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUH3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2021 to 2022
$1.1M
Innovative Research Team of High-Level Local Universities in Shanghai, Shanghai Young Talent of Health Care 2022YQ014National Natural Science Foundation of China 82103485National Natural Science Foundation of China 82227801NCI NIH HHS P01 CA093900NCI NIH HHS UH3 CA241694NIH HHS P01 CA093900NIMH NIH HHS R33 MH118164Shanghai Science and Technology Committee Rising-Star Program 23QA1405900
6 · The paper itself

Abstract

To investigate extracellular vesicles (EVs), biomarkers for predicting lymph node invasion (LNI) in patients with high-risk prostate cancer (HRPCa), plasma, and/or urine samples were prospectively collected from 45 patients with prostate cancer (PCa) and five with benign prostatic hyperplasia (BPH). Small RNA sequencing was performed to identify miRNAs in the EVs. All patients with PCa underwent radical prostatectomy and extended pelvic lymph node dissection. Differentially expressed miRNAs were identified in patients with and without pathologically-verified LNI. The candidate miRNAs were validated in low-risk prostate cancer (LRPCa) and BPH. Four miRNA species (e.g., miR-126-3p) and three miRNA species (e.g., miR-27a-3p) were more abundant in urinary and plasma EVs, respectively, of patients with PCa. None of these miRNA species were shared between urinary and plasma EVs. miR-126-3p was significantly more abundant in patients with HR PCa with LNI than in those without (P = 0.018). miR-126-3p was significantly more abundant in the urinary EVs of patients with HRPCa than in those with LRPCa (P = 0.017) and BPH (P = 0.011). In conclusion, urinary EVs-derived miR-126-3p may serve as a good biomarker for predicting LNI in patients with HRPCa.

Indexed as

Biomarkers, TumorExtracellular VesiclesLymphatic MetastasisMicroRNAsProstatic NeoplasmsAgedHumansLymph NodesMaleMiddle AgedProspective StudiesProstatectomyProstatic HyperplasiaBiomarkers, TumorMicroRNAsMIRN126 microRNA, humanExtracellular vesiclesLymph node invasionMicroRNAsProstate cancer

Identifiers

PMID38839666
PMCPMC11153291

What Socratic holds

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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 Socratic graph.