Evidence map›Paper›PMID 31614872›Full record

ArticleCancers2019

Cerebrospinal Fluid MicroRNA Signatures as Diagnostic Biomarkers in Brain Tumors.

Alena Kopkova, Jiri Sana, Tana Machackova, Marek Vecera, Lenka Radova, Karolina Trachtova, Vaclav Vybihal, Martin Smrcka, Tomas Kazda, Ondrej Slaby and 1 more

Abstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  16. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
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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

11 authors.

Alena KopkovaCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. alena.kopkova@ceitec.muni.cz.
Jiri SanaCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. jiri.sana@ceitec.muni.cz.
Tana MachackovaCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. 375588@mail.muni.cz.
Marek VeceraCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. marek.vecera@ceitec.muni.cz.ORCID 0000-0001-7510-3694
Lenka RadovaCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. 232848@mail.muni.cz.
Karolina TrachtovaCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. trachtova@mail.muni.cz.
Vaclav VybihalDepartment of Neurosurgery, University Hospital Brno, Brno 625 00, Czech Republic. Vybihal.Vaclav@fnbrno.cz.
Martin SmrckaDepartment of Neurosurgery, University Hospital Brno, Brno 625 00, Czech Republic. Smrcka.Martin@fnbrno.cz.
Tomas KazdaFaculty of Medicine, Masaryk University, Brno 625 00, Czech Republic. tomas.kazda@mou.cz.
Ondrej SlabyCentral European Institute of Technology (CEITEC), Masaryk University, Brno 625 00, Czech Republic. ondrej.slaby@ceitec.muni.cz.
Pavel FadrusDepartment of Neurosurgery, University Hospital Brno, Brno 625 00, Czech Republic. fadrus.pavel@fnbrno.cz.

Funding

Ministerstvo Zdravotnictví Ceské Republiky 15-34553A
6 · The paper itself

Abstract

Central nervous system (CNS) malignancies include primary tumors that originate within the CNS as well as secondary tumors that develop as a result of metastatic spread. Circulating microRNAs (miRNAs) were found in almost all human body fluids including cerebrospinal fluid (CSF), and they seem to be highly stable and resistant to even extreme conditions. The overall aim of our study was to identify specific CSF miRNA patterns that could differentiate among brain tumors. These new biomarkers could potentially aid borderline or uncertain imaging results onto diagnosis of CNS malignancies, avoiding most invasive procedures such as stereotactic biopsy or biopsy. In total, 175 brain tumor patients (glioblastomas, low-grade gliomas, meningiomas and brain metastases), and 40 non-tumor patients with hydrocephalus as controls were included in this prospective monocentric study. Firstly, we performed high-throughput miRNA profiling (Illumina small RNA sequencing) on a discovery cohort of 70 patients and 19 controls and identified specific miRNA signatures of all brain tumor types tested. Secondly, validation of 9 candidate miRNAs was carried out on an independent cohort of 105 brain tumor patients and 21 controls using qRT-PCR. Based on the successful results of validation and various combination patterns of only 5 miRNA levels (miR-30e, miR-140, let-7b, mR-10a and miR-21-3p) we proposed CSF-diagnostic scores for each tumor type which enabled to distinguish them from healthy donors and other tumor types tested. In addition to this primary diagnostic tool, we described the prognostic potential of the combination of miR-10b and miR-196b levels in CSF of glioblastoma patients. In conclusion, we performed the largest study so far focused on CSF miRNA profiling in patients with brain tumors, and we believe that this new class of biomarkers have a strong potential as a diagnostic and prognostic tool in these patients.

Indexed as

brain metastasescerebrospinal fluidglioblastomameningiomamicroRNA

Identifiers

PMID31614872
PMCPMC6826583

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.