Evidence map›Paper›PMID 36357397›Full record

ArticleNature communications2022

Selective PROTAC-mediated degradation of SMARCA2 is efficacious in SMARCA4 mutant cancers.

Jennifer Cantley, Xiaofen Ye, Emma Rousseau, Tom Januario, Brian D Hamman, Christopher M Rose, Tommy K Cheung, Trent Hinkle, Leofal Soto, Connor Quinn and 19 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 121 citations in OpenAlex.

  1. PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026
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  16. JACS Au · 2026
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17 more citing papers are in PubMed but not listed here.

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

29 authors at 2 institutions in 2 countries.

Jennifer CantleyArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Xiaofen YeGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Emma RousseauArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Tom JanuarioGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Brian D HammanHotSpot Therapeutics, Inc. 1 Deerpark Dr., Ste C, Monmouth Junction, NJ, 08852, USA.
Christopher M RoseGenentech, 1 DNA Way, South San Francisco, 94080, USA.ORCID 0000-0002-7502-3368
Tommy K CheungGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Trent HinkleGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Leofal SotoArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Connor QuinnArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Alicia HarbinArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Elizabeth BortolonArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Xin ChenArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Roy HaskellArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Eva LinGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Shang-Fan YuGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Geoff Del RosarioGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Emily ChanGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Debra DunlapGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Hartmut KoeppenGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Scott MartinGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Mark MerchantGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Matt GrimmerGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Fabio BroccatelliGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Jing WangArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Jennifer PizzanoArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Peter S DragovichGenentech, 1 DNA Way, South San Francisco, 94080, USA.
Michael BerlinArvinas, LLC, 5 Science Park, New Haven, CT, 06511, USA.
Robert L YauchGenentech, 1 DNA Way, South San Francisco, 94080, USA. bobyauch@gene.com.ORCID 0000-0001-9478-6283
Arvinas (United States) · USGene Therapy Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian SWItch/Sucrose Non-Fermentable (SWI/SNF) helicase SMARCA4 is frequently mutated in cancer and inactivation results in a cellular dependence on its paralog, SMARCA2, thus making SMARCA2 an attractive synthetic lethal target. However, published data indicates that achieving a high degree of selective SMARCA2 inhibition is likely essential to afford an acceptable therapeutic index, and realizing this objective is challenging due to the homology with the SMARCA4 paralog. Herein we report the discovery of a potent and selective SMARCA2 proteolysis-targeting chimera molecule (PROTAC), A947. Selective SMARCA2 degradation is achieved in the absence of selective SMARCA2/4 PROTAC binding and translates to potent in vitro growth inhibition and in vivo efficacy in SMARCA4 mutant models, compared to wild type models. Global ubiquitin mapping and proteome profiling reveal no unexpected off-target degradation related to A947 treatment. Our study thus highlights the ability to transform a non-selective SMARCA2/4-binding ligand into a selective and efficacious in vivo SMARCA2-targeting PROTAC, and thereby provides a potential new therapeutic opportunity for patients whose tumors contain SMARCA4 mutations.

Indexed as

NeoplasmsAnimalsDNA HelicasesHumansMammalsMutationNuclear ProteinsProteolysisTranscription FactorsDNA HelicasesNuclear ProteinsSMARCA2 protein, humanSMARCA4 protein, humanTranscription Factors

Identifiers

PMID36357397
PMCPMC9649729
OpenAlexW4309078084

What OpenQuestion holds

Textmetadata
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.