Evidence map›Paper›PMID 35559673›Full record

ArticleScience advances2022

Genome-wide CRISPR screens using isogenic cells reveal vulnerabilities conferred by loss of tumor suppressors.

Xu Feng, Mengfan Tang, Merve Dede, Dan Su, Guangsheng Pei, Dadi Jiang, Chao Wang, Zhen Chen, Mi Li, Litong Nie and 9 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

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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

19 authors at 2 institutions in 1 country.

Xu FengDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-1603-7070
Mengfan TangDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-6552-6762
Merve DedeDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-0868-5863
Dan SuDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-1468-3538
Guangsheng PeiCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0003-1804-7598
Dadi JiangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-0935-3908
Chao WangDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-6191-5261
Zhen ChenDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-1603-4638
Mi LiDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-6038-4144
Litong NieDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-0326-4517
Yun XiongDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8001-129X
Siting LiDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8292-1393
Jeong-Min ParkDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-3056-2314
Huimin ZhangDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8987-6014
Min HuangDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-9278-6594
Klaudia SzymonowiczDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8296-6738
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-3477-0914
Traver HartDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-1880-3341
Junjie ChenDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-1493-2189
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Project 4: Coordinating Nucleolytic Pathways During Crosslink RepairP01CA193124 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WOOD, RICHARD D · 2017 to 2022
$9.6M
High-content microscopy platform for multiplex perturbation/multiplex readout studiesR35GM130119 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Traver Hart · 2018 to 2026
$3.9M
Novel regulations of DNA damage repairR01CA216911 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, JUNJIE · 2017 to 2021
$1.8M
Define redundant functions of H2AX and NBS1 in DNA repairR01CA210929 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, JUNJIE · 2017 to 2022
$1.8M
53BP1-dependent pathway in DNA repairR01CA216437 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, JUNJIE · 2017 to 2022
$1.8M
NCI NIH HHS P01 CA193124NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA210929NCI NIH HHS R01 CA216437NCI NIH HHS R01 CA216911NIGMS NIH HHS R35 GM130119
6 · The paper itself

Abstract

Exploiting cancer vulnerabilities is critical for the discovery of anticancer drugs. However, tumor suppressors cannot be directly targeted because of their loss of function. To uncover specific vulnerabilities for cells with deficiency in any given tumor suppressor(s), we performed genome-scale CRISPR loss-of-function screens using a panel of isogenic knockout cells we generated for 12 common tumor suppressors. Here, we provide a comprehensive and comparative dataset for genetic interactions between the whole-genome protein-coding genes and a panel of tumor suppressor genes, which allows us to uncover known and new high-confidence synthetic lethal interactions. Mining this dataset, we uncover essential paralog gene pairs, which could be a common mechanism for interpreting synthetic lethality. Moreover, we propose that some tumor suppressors could be targeted to suppress proliferation of cells with deficiency in other tumor suppressors. This dataset provides valuable information that can be further exploited for targeted cancer therapy.

Indexed as

Antineoplastic AgentsNeoplasmsCell Line, TumorClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGenes, Tumor SuppressorHumansSynthetic Lethal MutationsAntineoplastic Agents

Identifiers

PMID35559673
PMCPMC9106303
OpenAlexW4280524676

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.