Evidence map›Paper›PMID 33476554›Full record

ArticleCell systems2021

Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors.

Joshua E Lewis, Tom E Forshaw, David A Boothman, Cristina M Furdui, Melissa L Kemp

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  4. Variable cellular and radiobiological effects of [Journal of experimental & clinical cancer research : CR · 2026
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  9. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
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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

5 authors at 3 institutions in 1 country.

Joshua E LewisThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Tom E ForshawDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
David A BoothmanDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Cristina M FurduiDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Melissa L KempThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA. Electronic address: melissa.kemp@bme.gatech.edu.
Georgia Institute of Technology · USWake Forest University · USIndiana University School of Medicine

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
Model-based Prediction of Redox-Modulated Responses to Cancer TreatmentsU01CA215848 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI FURDUI, CRISTINA MARIA, KEMP, MELISSA LAMBETH · 2017 to 2021
$3.6M
Systems biology modeling of radiation resistance and chemotherapy-radiation combination therapies in head and neck squamous cell carcinomaF30CA224968 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI LEWIS, JOSHUA ELLIOTT · 2018 to 2020
$135k
NCI NIH HHS F30 CA224968NCI NIH HHS P30 CA012197NCI NIH HHS U01 CA215848NIGMS NIH HHS T32 GM008169
6 · The paper itself

Abstract

Redox cofactor production is integral toward antioxidant generation, clearance of reactive oxygen species, and overall tumor response to ionizing radiation treatment. To identify systems-level alterations in redox metabolism that confer resistance to radiation therapy, we developed a bioinformatics pipeline for integrating multi-omics data into personalized genome-scale flux balance analysis models of 716 radiation-sensitive and 199 radiation-resistant tumors. These models collectively predicted that radiation-resistant tumors reroute metabolic flux to increase mitochondrial NADPH stores and reactive oxygen species (ROS) scavenging. Simulated genome-wide knockout screens agreed with experimental siRNA gene knockdowns in matched radiation-sensitive and radiation-resistant cancer cell lines, revealing gene targets involved in mitochondrial NADPH production, central carbon metabolism, and folate metabolism that allow for selective inhibition of glutathione production and H

Indexed as

Hydrogen PeroxideNeoplasmsHumansNADPOxidation-ReductionReactive Oxygen SpeciesHydrogen PeroxideNADPReactive Oxygen Speciesflux balance analysisgenome-scaleglutathionehydrogen peroxideNADPHpersonalized modelsradiation resistancereactive oxygen speciesredox metabolismThe Cancer Genome Atlas

Identifiers

PMID33476554
PMCPMC7905848
OpenAlexW3121785319

What OpenQuestion holds

Textmetadata
LicenceTDM
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.