Evidence map›Paper›PMID 28319085›Full record

ArticleNature biotechnology2017

Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions.

Kyuho Han, Edwin E Jeng, Gaelen T Hess, David W Morgens, Amy Li, Michael C Bassik

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 292 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
292citing papers in PubMed, 1 pooled it
25.0field-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

292 citing papers in PubMed, 1 synthesis or guideline pooled it, 530 citations in OpenAlex.

  1. Pooled it
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  7. A Framework for Benchmarking Pathway Reconstruction Algorithms.bioRxiv : the preprint server for biology · 2026
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  18. Dissecting Epigenetic Drug Response Mechanisms Using CRISPR Knockout Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  19. Article
  20. Article

232 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kyuho HanDepartment of Genetics, Stanford University, Stanford, California, USA.
Edwin E JengDepartment of Genetics, Stanford University, Stanford, California, USA.
Gaelen T HessDepartment of Genetics, Stanford University, Stanford, California, USA.
David W MorgensDepartment of Genetics, Stanford University, Stanford, California, USA.
Amy LiDepartment of Genetics, Stanford University, Stanford, California, USA.
Michael C BassikDepartment of Genetics, Stanford University, Stanford, California, USA.
Stanford University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Using Protein Interaction Networks and Combinatorial Screens to target KRAS driven cancerU01CA199216 · NCI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, JACKSON, PETER KENT · 2015 to 2019
$3.2M
Accelerating drug development and repurposing using systematic genetic interactioDP2HD084069 · NICHD · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C · 2014 to 2014
$2.4M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
NCI NIH HHS T32 CA009302NCI NIH HHS U01 CA199216NHGRI NIH HHS K22 HG000044NHGRI NIH HHS T32 HG000044NICHD NIH HHS DP2 HD084069
6 · The paper itself

Abstract

Identification of effective combination therapies is critical to address the emergence of drug-resistant cancers, but direct screening of all possible drug combinations is infeasible. Here we introduce a CRISPR-based double knockout (CDKO) system that improves the efficiency of combinatorial genetic screening using an effective strategy for cloning and sequencing paired single guide RNA (sgRNA) libraries and a robust statistical scoring method for calculating genetic interactions (GIs) from CRISPR-deleted gene pairs. We applied CDKO to generate a large-scale human GI map, comprising 490,000 double-sgRNAs directed against 21,321 pairs of drug targets in K562 leukemia cells and identified synthetic lethal drug target pairs for which corresponding drugs exhibit synergistic killing. These included the BCL2L1 and MCL1 combination, which was also effective in imatinib-resistant cells. We further validated this system by identifying known and previously unidentified GIs between modifiers of ricin toxicity. This work provides an effective strategy to screen synergistic drug combinations in high-throughput and a CRISPR-based tool to dissect functional GI networks.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsClustered Regularly Interspaced Short Palindromic RepeatsDrug Screening Assays, AntitumorDrug SynergismHumansK562 CellsNeoplasm ProteinsNeoplasms, ExperimentalNeoplasm Proteins

Identifiers

PMID28319085
PMCPMC5557292
OpenAlexW2597646117

What OpenQuestion holds

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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.