Evidence map›Paper›PMID 36560881›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2023

Combined thioredoxin reductase and glutaminase inhibition exerts synergistic anti-tumor activity in MYC-high high-grade serous ovarian carcinoma.

Prahlad V Raninga, Yaowu He, Keshava K Datta, Xue Lu, Uma R Maheshwari, Pooja Venkat, Chelsea Mayoh, Harsha Gowda, Murugan Kalimutho, John D Hooper and 1 more

Open access · greenAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  3. Targeting MYC-Driven Cancers: From Oncogenic Addiction to Therapeutic Vulnerability.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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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 at 4 institutions in 1 country.

Prahlad V RaningaQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia. Electronic address: prahlad.raninga@qimrberghofer.edu.au.
Yaowu HeMater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia.
Keshava K DattaProteomics and Metabolomics Platform, La Trobe University, Melbourne, VIC 3086, Australia.
Xue LuQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
Uma R MaheshwariQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
Pooja VenkatChildren's Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Kensington, NSW 2750, Australia.
Chelsea MayohChildren's Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Kensington, NSW 2750, Australia.
Harsha GowdaQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
Murugan KalimuthoQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
John D HooperMater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia.
Kum Kum KhannaQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia. Electronic address: kumkum.khanna@qimrberghofer.edu.au.
QIMR Berghofer Medical Research Institute · AUTranslational Research Institute · AUUNSW Sydney · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 50%-55% of high-grade serous ovarian carcinoma (HGSOC) patients have MYC oncogenic pathway activation. Because MYC is not directly targetable, we have analyzed molecular pathways enriched in MYC-high HGSOC tumors to identify potential therapeutic targets. Here, we report that MYC-high HGSOC tumors show enrichment in genes controlled by NRF2, an antioxidant signaling pathway, along with increased thioredoxin redox activity. Treatment of MYC-high HGSOC tumors cells with US Food and Drug Administration (FDA)-approved thioredoxin reductase 1 (TrxR1) inhibitor auranofin resulted in significant growth suppression and apoptosis in MYC-high HGSOC cells in vitro and also significantly reduced tumor growth in an MYC-high HGSOC patient-derived tumor xenograft. We found that auranofin treatment inhibited glycolysis in MYC-high cells via oxidation-induced GAPDH inhibition. Interestingly, in response to auranofin-induced glycolysis inhibition, MYC-high HGSOC cells switched to glutamine metabolism for survival. Depletion of glutamine with either glutamine starvation or glutaminase (GLS1) inhibitor CB-839 exerted synergistic anti-tumor activity with auranofin in HGSOC cells and OVCAR-8 cell line xenograft. These findings suggest that applying a combined therapy of GLS1 inhibitor and TrxR1 inhibitor could effectively treat MYC-high HGSOC patients.

Indexed as

AuranofinGenes, mycGlutamineOvarian NeoplasmsThioredoxin-Disulfide ReductaseCell Line, TumorFemaleGlutaminaseGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansNF-E2-Related Factor 2Thioredoxin Reductase 1ThioredoxinsAuranofinGAPDH protein, humanGLS protein, humanGlutaminaseGlutamineGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)NFE2L2 protein, humanNF-E2-Related Factor 2Thioredoxin-Disulfide ReductaseThioredoxin Reductase 1ThioredoxinsTXNRD1 protein, humanauranofinCB-839glutamine metabolismglycolysishigh-grade serous ovarian carcinomaMYCthioredoxin

Identifiers

PMID36560881
PMCPMC10014232
OpenAlexW4313442401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.