Evidence map›Paper›PMID 32203462›Full record

ArticleNature genetics2020

Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer.

Kevin H Lin, Justine C Rutter, Abigail Xie, Bryann Pardieu, Emily T Winn, Reinaldo Dal Bello, Antoine Forget, Raphael Itzykson, Yeong-Ran Ahn, Ziwei Dai and 9 more

Abstract read
In one paragraph

Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 89 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 3 countries.

Kevin H Lin *Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Justine C Rutter *Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Abigail XieDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Bryann PardieuUniversité de Paris, Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Paris, France.
Emily T WinnDivision of Applied Mathematics, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0001-6759-5406
Reinaldo Dal BelloUniversité de Paris, Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Paris, France.
Antoine ForgetUniversité de Paris, Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Paris, France.
Raphael ItzyksonUniversité de Paris, Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Paris, France.
Yeong-Ran AhnDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Ziwei DaiDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-0858-638X
Raiyan T SobhanDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Gray R AndersonDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Katherine R SingletonDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Amy E DeckerDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Peter S WinterDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
Jason W LocasaleDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-7766-3502
Lorin CrawfordDepartment of Biostatistics, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0003-0178-8242
Alexandre PuissantUniversité de Paris, Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Paris, France. alexandre.puissant@inserm.fr.ORCID http://orcid.org/0000-0002-3997-9282
Kris C WoodDepartment of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA. kris.wood@duke.edu.ORCID http://orcid.org/0000-0002-5887-2253
Duke University · USCentre National de la Recherche Scientifique · FRBrown University · USUniversidade Federal do Rio de Janeiro · BR

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Selectively targeting apoptosis in PIK3CA mutant colorectal cancersR01CA207083 · NCI · DUKE UNIVERSITY · PI WOOD, KRIS C. · 2016 to 2020
$1.8M
Mapping the landscape of drug sensitizers in human cancersF31CA195967 · NCI · DUKE UNIVERSITY · PI WINTER, PETER · 2015 to 2017
$92k
Designing durable apoptosis-targeting therapies for acute myeloid leukemiaF30CA206348 · NCI · DUKE UNIVERSITY · PI LIN, KEVIN HAO-YU · 2016 to 2017
$78k
NCI NIH HHS F30 CA206348NCI NIH HHS F31 CA195967NCI NIH HHS P30 CA014236NCI NIH HHS R01 CA207083NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

Local adaptation directs populations towards environment-specific fitness maxima through acquisition of positively selected traits. However, rapid environmental changes can identify hidden fitness trade-offs that turn adaptation into maladaptation, resulting in evolutionary traps. Cancer, a disease that is prone to drug resistance, is in principle susceptible to such traps. We therefore performed pooled CRISPR-Cas9 knockout screens in acute myeloid leukemia (AML) cells treated with various chemotherapies to map the drug-dependent genetic basis of fitness trade-offs, a concept known as antagonistic pleiotropy (AP). We identified a PRC2-NSD2/3-mediated MYC regulatory axis as a drug-induced AP pathway whose ability to confer resistance to bromodomain inhibition and sensitivity to BCL-2 inhibition templates an evolutionary trap. Across diverse AML cell-line and patient-derived xenograft models, we find that acquisition of resistance to bromodomain inhibition through this pathway exposes coincident hypersensitivity to BCL-2 inhibition. Thus, drug-induced AP can be leveraged to design evolutionary traps that selectively target drug resistance in cancer.

Indexed as

Adaptation, PhysiologicalAnimalsBiological EvolutionCell LineCell Line, TumorCRISPR-Cas SystemsDrug Resistance, NeoplasmEnvironmentGenetic FitnessGenetic PleiotropyHEK293 CellsHL-60 CellsHumansMiceNeoplasmsNuclear ProteinsNuclear ProteinsTranscription Factors

Identifiers

PMID32203462
PMCPMC7398704
OpenAlexW3012351699

What OpenQuestion holds

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Registered trials

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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.