Evidence map›Paper›PMID 40236125›Full record

ArticlebioRxiv : the preprint server for biology2025

Discovery and therapeutic exploitation of Master Regulatory miRNAs in Glioblastoma.

Shekhar Saha, Ying Zhang, Myron K Gilbert, Collin Dube, Farina Hanif, Elizabeth Qian Xu Mulcahy, Sylwia Bednarek, Pawel Marcinkiewicz, Xiantao Wang, Gijung Kwak and 18 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

28 authors.

Shekhar SahaDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Ying ZhangDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Myron K GilbertDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Collin DubeDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Farina HanifDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Elizabeth Qian Xu MulcahyDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Sylwia BednarekDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Pawel MarcinkiewiczDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Xiantao WangNational Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD 20892, USA.
Gijung KwakUniversity of Maryland School of Medicine, 620 W Lexington St, Baltimore, MD 21201, USA.
Kadie HudsonDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Yunan SunDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Manikarna DindaDepartment of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Tapas SahaSwiss Re, Healthcare, Bengaluru, India.
Fadila GuessousDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Nichola CruickshanksDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Rossymar Rivera ColonDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Lily Dell'OlioDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Rajitha AnbuDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Benjamin KefasDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Pankaj KumarBioinformatics Core, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Alexander L KlibanovCardiovascular Division, University of Virginia, Charlottesville, VA 22908, USA.
David SchiffNeurology, University of Virginia, Charlottesville, VA 22908, USA.
Jung Soo SukUniversity of Maryland School of Medicine, 620 W Lexington St, Baltimore, MD 21201, USA.
Justin HanesCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, USA.
Jamie MataRadiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Virginia.
Markus HafnerNational Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD 20892, USA.ORCID 0000-0002-4336-6518
Roger AbounaderDepartment of Microbiology, Immunology & Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
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 P30 CA044579NCI NIH HHS U01 CA220841NINDS NIH HHS R01 NS122222NINDS NIH HHS R21 NS122136
6 · The paper itself

Abstract

Glioblastoma is a fatal primary malignant brain tumor, with an average survival of only 15 months despite surgical resection, chemotherapy, and radiation therapy. Due to the concurrent deregulation of numerous genes in glioblastoma, molecular monotherapies have not improved clinical outcomes. Evidence suggests that effectively targeting multiple deregulated molecules is essential for better therapies; however, this is limited by the lack of suitable drugs and the increased toxicity of combination therapies. To address this, we hypothesized that miRNAs, small gene-regulatory RNAs that suppress multiple target genes via sequence complementarity, could be developed to inhibit multiple deregulated genes simultaneously, leading to more effective treatments. We identified master regulatory miRNAs-those that target several deregulated genes in glioblastoma-using PAR-CLIP screenings in glioblastoma cells and analyzed TCGA tumor data to find which targets were deregulated. An algorithm ranked these targets based on their significance in glioblastoma malignancy. We selected two tumor suppressor master regulatory miRNAs, miR-340 and miR-382, and one oncogenic miRNA, miR-17. Validation showed that these miRNAs target critical glioblastoma pathways and significantly inhibit cell growth, survival, invasion, and tumor growth in vivo. We developed an innovative therapeutic delivery approach using Brain Penetrating Nanoparticles in combination with MRI-guided focused ultrasound and microbubbles, resulting in reduced tumor volume and extended survival in glioblastoma-bearing mice. This strategy offers a promising pathway for translating miRNA-based therapies into clinical trials for glioblastoma and other cancers.

Identifiers

PMID40236125
PMCPMC11996502

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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.