Evidence map›Paper›PMID 37957169›Full record

ArticleNature communications2023

A CRISPR-drug perturbational map for identifying compounds to combine with commonly used chemotherapeutics.

Hyeong-Min Lee, William C Wright, Min Pan, Jonathan Low, Duane Currier, Jie Fang, Shivendra Singh, Stephanie Nance, Ian Delahunty, Yuna Kim and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  15. Paralogue-selective degradation of the lysine acetyltransferase EP300.bioRxiv : the preprint server for biology · 2024
    Article
  16. Review
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

21 authors at 2 institutions in 1 country.

Hyeong-Min Lee *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0002-9381-3611
William C Wright *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Min PanDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0002-9338-8491
Jonathan LowDepartment of Chemical Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Duane CurrierDepartment of Chemical Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0002-0123-0233
Jie FangDepartment of Surgery, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Shivendra SinghDepartment of Surgery, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Stephanie NanceDivision of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Ian DelahuntyDivision of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Yuna KimDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Richard H ChappleDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0002-0375-2043
Yinwen ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Xueying LiuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0003-0654-2591
Jacob A SteeleCenter for Advanced Genome Engineering, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0001-9924-2226
Jun QiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-1461-3356
Shondra M Pruett-MillerCenter for Advanced Genome Engineering, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0002-3793-585X
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0003-4503-6608
Taosheng ChenDepartment of Chemical Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.ORCID 0000-0001-6420-3809
Jun YangDepartment of Surgery, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Jun.Yang2@stjude.org.ORCID 0000-0002-0770-9659
Adam D DurbinDivision of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Adam.Durbin@stjude.org.ORCID 0000-0002-5472-9847
Paul GeeleherDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Paul.Geeleher@stjude.org.ORCID 0000-0002-5128-0087
St. Jude Children's Research Hospital · USHarvard University · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
EXPLORE AND TARGET THE EPIGENETIC VULNERABILITY OF PAX3-FOXO1-DRIVEN RHABDOMYOSARCOMAR01CA266600 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Xiang Chen, Jun Yang · 2022 to 2026
$3.4M
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutationsR01CA260060 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Paul Geeleher · 2021 to 2026
$3.0M
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasetsR35GM138293 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GEELEHER, PAUL · 2020 to 2024
$2.2M
Development of small molecules to target KDM4BR01CA229739 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHEN, TAOSHENG, DAVIDOFF, ANDREW M · 2018 to 2021
$1.6M
Targeting EP300, a selective dependency in neuroblastomaK08CA245251 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI DURBIN, ADAM DAVID · 2020 to 2024
$1.3M
Novel computational approaches for pharmacogenomic discoveryR00HG009679 · NHGRI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GEELEHER, PAUL · 2019 to 2021
$739k
Novel computational approaches for pharmacogenomic discoveryK99HG009679 · NHGRI · UNIVERSITY OF CHICAGO · PI GEELEHER, PAUL · 2018 to 2018
$85k
NCI NIH HHS K08 CA245251NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA229739NCI NIH HHS R01 CA260060NCI NIH HHS R01 CA266600NHGRI NIH HHS K99 HG009679NHGRI NIH HHS R00 HG009679NIGMS NIH HHS R35 GM138293
6 · The paper itself

Abstract

Combination chemotherapy is crucial for successfully treating cancer. However, the enormous number of possible drug combinations means discovering safe and effective combinations remains a significant challenge. To improve this process, we conduct large-scale targeted CRISPR knockout screens in drug-treated cells, creating a genetic map of druggable genes that sensitize cells to commonly used chemotherapeutics. We prioritize neuroblastoma, the most common extracranial pediatric solid tumor, where ~50% of high-risk patients do not survive. Our screen examines all druggable gene knockouts in 18 cell lines (10 neuroblastoma, 8 others) treated with 8 widely used drugs, resulting in 94,320 unique combination-cell line perturbations, which is comparable to the largest existing drug combination screens. Using dense drug-drug rescreening, we find that the top CRISPR-nominated drug combinations are more synergistic than standard-of-care combinations, suggesting existing combinations could be improved. As proof of principle, we discover that inhibition of PRKDC, a component of the non-homologous end-joining pathway, sensitizes high-risk neuroblastoma cells to the standard-of-care drug doxorubicin in vitro and in vivo using patient-derived xenograft (PDX) models. Our findings provide a valuable resource and demonstrate the feasibility of using targeted CRISPR knockout to discover combinations with common chemotherapeutics, a methodology with application across all cancers.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsNeuroblastomaCell Line, TumorChildDoxorubicinDrug CombinationsGene Knockout TechniquesHumansDoxorubicinDrug Combinations

Identifiers

PMID37957169
PMCPMC10643606
OpenAlexW4388631398

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.