Evidence map›Paper›PMID 37873383›Full record

ArticlebioRxiv : the preprint server for biology2023

Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy.

Ozen Leylek, Megan E Honeywell, Michael J Lee, Michael T Hemann, Gulnihal Ozcan

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Ozen LeylekKoç University Research Center for Translational Medicine, Istanbul, 34450 Turkiye.ORCID 0000-0001-5772-725X
Megan E HoneywellDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605 USA.ORCID 0000-0002-4894-8672
Michael J LeeDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605 USA.ORCID 0000-0003-3378-6196
Michael T HemannDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139 USA.ORCID 0000-0001-6776-2163
Gulnihal OzcanKoç University Research Center for Translational Medicine, Istanbul, 34450 Turkiye.ORCID 0000-0001-5354-0148
Koç University · TRUniversity of Massachusetts Chan Medical School · USBroad Institute · US

Funding

RNA-Binding Proteins as Molecular Integrators that Control the Response of HGSOC to Ant-Cancer TherapiesR01CA226898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B, HEMANN, MICHAEL · 2019 to 2023
$2.7M
Environmental Regulation of Cellular Responses to DNA DamageR01GM127559 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEE, MICHAEL JUNGHO · 2018 to 2022
$1.8M
Identifying and targeting evolutionary trajectories in cancerR01CA233477 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HEMANN, MICHAEL · 2019 to 2023
$1.7M
Activation of non-apoptotic cell death by the DNA damage responseF31CA268847 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HONEYWELL, MEGAN ELIZABETH · 2022 to 2023
$64k
NCI NIH HHS F31 CA268847NCI NIH HHS R01 CA226898NCI NIH HHS R01 CA233477NIGMS NIH HHS R01 GM127559
6 · The paper itself

Abstract

The rational combination of anticancer agents is critical to improving patient outcomes in cancer. Nonetheless, most combination regimens in the clinic result from empirical methodologies disregarding insight into the mechanism of action and missing the opportunity to improve therapy outcomes incrementally. Deciphering the genetic dependencies and vulnerabilities responsible for synergistic interactions is crucial for rationally developing effective anticancer drug combinations. Hence, we screened pairwise pharmacological interactions between molecular-targeted agents and conventional chemotherapeutics and examined the genome-scale genetic dependencies in gastric adenocarcinoma cell models. Since this type of cancer is mainly chemoresistant and incurable, clinical situations demand effective combination strategies. Our pairwise combination screen revealed SN38/erlotinib as the drug pair with the most robust synergism. Genome-wide CRISPR screening and a shRNA-based signature assay indicated that the genetic dependency/vulnerability signature of SN38/erlotinib is the same as SN38 alone. Additional investigation revealed that the enhanced cell death with improved death kinetics caused by the SN38/erlotinib combination is surprisingly due to erlotinib's off-target effect that inhibits ABCG2 but not its on-target effect on EGFR. Our results confirm that a genetic dependency signature different from the single-drug application may not be necessary for the synergistic interaction of molecular-targeted agents with conventional chemotherapeutics in gastric adenocarcinoma. The findings also demonstrated the efficacy of functional genomics approaches in unveiling biologically validated mechanisms of pharmacological interactions.

Indexed as

Combination therapyFunctional genomicsGastric adenocarcinomaGenetic dependencySynergism

Identifiers

PMID37873383
PMCPMC10592690
OpenAlexW4387490376

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.