Evidence map›Paper›PMID 38194195›Full record

ReviewJournal of neuro-oncology2024

The role of microRNAs in brain metastasis.

Kadie Hudson, Mark Willy Mondia, Ying Zhang, Shekhar Saha, Myron K Gibert, Collin Dube, Yunan Sun, Pawel Marcinkiewicz, Camilo Fadul, Roger Abounader

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. MicroRNAs in Lung Cancer Brain Metastasis.International journal of molecular sciences · 2024
    Review
  9. MicroRNAs as Biomarkers of Brain Tumor.Cancer management and research · 2024
    Review
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

10 authors at 2 institutions in 1 country.

Kadie HudsonDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-7959-4248
Mark Willy MondiaDepartment of Neurology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0001-8862-5360
Ying ZhangDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Shekhar SahaDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-2797-3000
Myron K GibertDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Collin DubeDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-7154-6129
Yunan SunDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Pawel MarcinkiewiczDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Camilo FadulDepartment of Neurology, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0001-7459-7661
Roger AbounaderDepartment of Microbiology, Immunology, and Cancer Biology, Department of Neurology, University of Virginia, University of Virginia Cancer Center, Charlottesville, VA, USA. ra6u@virginia.edu.ORCID http://orcid.org/0000-0003-4075-9460
University of Virginia · USUniversity of Virginia Cancer Center

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Cancer Research Training Program: From Molecular Mechanisms to Therapeutic StrategiesT32CA009109 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Andrew Carl Dudley, Melanie R Rutkowski · 1985 to 2026
$13.9M
Master Regulatory MicroRNAs in GlioblastomaU01CA220841 · NCI · UNIVERSITY OF VIRGINIA · PI ABOUNADER, ROGER · 2017 to 2021
$2.5M
Calcium Channels in GlioblastomaR01NS122222 · NINDS · UNIVERSITY OF VIRGINIA · PI Roger Abounader · 2022 to 2026
$2.5M
Transcribed Ultra Conserved Regions in GlioblastomaR21NS122136 · NINDS · UNIVERSITY OF VIRGINIA · PI ABOUNADER, ROGER · 2021 to 2022
$444k
NCI NIH HHS 5P30CA044579NCI NIH HHS 5T32CA009109-47NCI NIH HHS P30 CA044579NCI NIH HHS U01 CA220841NIH HHS UO1 CA220841NIH HHS UO1 CA220841 - Diversity SupplementNINDS NIH HHS R01 NS122222NINDS NIH HHS R21 NS122136
6 · The paper itself

Abstract

Brain metastasis (BM) is the most common type of brain tumor and frequently foreshadows disease progression and poor overall survival with patients having a median survival of 6 months. 70,000 new cases of BM are diagnosed each year in the United States (US) and the incidence rate for BM is increasing with improved detection. MicroRNAs (miRNAs) are small non-coding RNAs that serve as critical regulators of gene expression and can act as powerful oncogenes and tumor suppressors. MiRNAs have been heavily implicated in cancer and proposed as biomarkers or therapeutic targets or agents. In this review, we summarize an extensive body of scientific work investigating the role of microRNAs in BM. We discuss miRNA dysregulation, functions, targets, and mechanisms of action in BM and present the current standing of miRNAs as biomarkers and potential therapeutics for BM. We conclude with future directions of miRNA basic and clinical research in BM.

Indexed as

Brain NeoplasmsMicroRNAsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansOncogenesBiomarkers, TumorMicroRNAsBiomarkersBrainMetastasismicroRNAsTargetsTherapy

Identifiers

PMID38194195
PMCPMC10834572
OpenAlexW4390783278

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.