Evidence map›Paper›PMID 38531616›Full record

ArticleFEBS open bio2024

Signature reversion of three disease-associated gene signatures prioritizes cancer drug repurposing candidates.

Jennifer L Fisher, Elizabeth J Wilk, Vishal H Oza, Sam E Gary, Timothy C Howton, Victoria L Flanary, Amanda D Clark, Anita B Hjelmeland, Brittany N Lasseigne

Abstract read
In one paragraph

Article in FEBS open bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

9 authors.

Jennifer L FisherDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Elizabeth J WilkDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Vishal H OzaDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Sam E GaryDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.ORCID 0000-0001-6526-4953
Timothy C HowtonDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Victoria L FlanaryDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Amanda D ClarkDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.ORCID 0000-0002-1186-3114
Anita B HjelmelandDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.
Brittany N LasseigneDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA.ORCID 0000-0002-1642-8904

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008361 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YACOUBIAN, TALENE ALENE · 1992 to 2024
$16.8M
Deep South KUH Premier Research - Interdisciplinary Mentored Education (PRIME) Training CoreTL1DK139566 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID M POLLOCK · 2023 to 2026
$3.6M
Deep South KUH Premier Research- Interdisciplinary Mentored Education (PRIME) Networking CoreU2CDK133422 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kelly Hyndman · 2023 to 2026
$2.8M
Integrating multidimensional genomic data to discover clinically-relevant predictive models-Alzheimer's SupplementR00HG009678 · NHGRI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LASSEIGNE, BRITTANY NICOLE · 2019 to 2021
$961k
Using Common Fund data to inform rare disease preclinical models and prioritize drug repurposingR03OD030604 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LASSEIGNE, BRITTANY NICOLE · 2020 to 2020
$297k
NHGRI NIH HHS R00 HG009678NHGRI NIH HHS R00HG009678NIDDK NIH HHS TL1 DK139566NIDDK NIH HHS U2C DK133422NIGMS NIH HHS 5T32GM008361-31NIGMS NIH HHS T32 GM008361NIH HHS R03 OD030604
6 · The paper itself

Abstract

Drug repurposing is promising because approving a drug for a new indication requires fewer resources than approving a new drug. Signature reversion detects drug perturbations most inversely related to the disease-associated gene signature to identify drugs that may reverse that signature. We assessed the performance and biological relevance of three approaches for constructing disease-associated gene signatures (i.e., limma, DESeq2, and MultiPLIER) and prioritized the resulting drug repurposing candidates for four low-survival human cancers. Our results were enriched for candidates that had been used in clinical trials or performed well in the PRISM drug screen. Additionally, we found that pamidronate and nimodipine, drugs predicted to be efficacious against the brain tumor glioblastoma (GBM), inhibited the growth of a GBM cell line and cells isolated from a patient-derived xenograft (PDX). Our results demonstrate that by applying multiple disease-associated gene signature methods, we prioritized several drug repurposing candidates for low-survival cancers.

Indexed as

Antineoplastic AgentsDrug RepositioningAnimalsBrain NeoplasmsCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaHumansMiceNeoplasmsTranscriptomeXenograft Model Antitumor AssaysAntineoplastic Agentscancerdrug repurposinggene signatureglioblastomatranscriptomic signature

Identifiers

PMID38531616
PMCPMC11073506

What OpenQuestion 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 OpenQuestion graph.