Evidence map›Paper›PMID 39033209›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2024

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

Abstract read
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ozen LeylekKoç University Research Center for Translational Medicine, 34450, Istanbul, Turkey.
Megan E HoneywellDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605, USA.
Michael J LeeDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605, USA. michael.lee@umassmed.edu.
Michael T HemannDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. hemann@mit.edu.
Gulnihal OzcanKoç University Research Center for Translational Medicine, 34450, Istanbul, Turkey. guozcan@ku.edu.tr.ORCID 0000-0001-5354-0148

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 CA233477NCI NIH HHS R01-CA233477NIH HHS R01-CA226898NIH HHS RO1 GM127559Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 117Z460
6 · The paper itself

Abstract

backgroundIntegrating molecular-targeted agents into combination chemotherapy is transformative for enhancing treatment outcomes in cancer. However, realizing the full potential of this approach requires a clear comprehension of the genetic dependencies underlying drug synergy. While the interactions between conventional chemotherapeutics are well-explored, the interplay of molecular-targeted agents with conventional chemotherapeutics remains a frontier in cancer treatment. Hence, we leveraged a powerful functional genomics approach to decode genomic dependencies that drive synergy in molecular-targeted agent/chemotherapeutic combinations in gastric adenocarcinoma, addressing a critical need in gastric cancer therapy.

methodsWe screened pharmacological interactions between fifteen molecular-targeted agent/conventional chemotherapeutic pairs in gastric adenocarcinoma cells, and examined the genome-scale genetic dependencies of synergy integrating genome-wide CRISPR screening with the shRNA-based signature assay. We validated the synergy in cell death using fluorescence-based and lysis-dependent inference of cell death kinetics assay, and validated the genetic dependencies by single-gene knockout experiments.

resultsOur combination screen identified SN-38/erlotinib as the drug pair with the strongest synergism. Functional genomics assays unveiled a genetic dependency signature of SN-38/erlotinib identical to SN-38. Remarkably, the enhanced cell death with improved kinetics induced by SN-38/erlotinib was attributed to erlotinib's off-target effect, inhibiting ABCG2, rather than its on-target effect on EGFR.

conclusionIn the era of precision medicine, where emphasis on primary drug targets prevails, our research challenges this paradigm by showcasing a robust synergy underpinned by an off-target dependency. Further dissection of the intricate genetic dependencies that underlie synergy can pave the way to developing more effective combination strategies in gastric cancer therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsDrug SynergismGenomicsStomach NeoplasmsAdenocarcinomaCell Line, TumorErlotinib HydrochlorideHumansIrinotecanMolecular Targeted TherapyErlotinib HydrochlorideIrinotecanCombination therapyFunctional genomicsGastric adenocarcinomaGenetic dependencySynergism

Identifiers

PMID39033209
PMCPMC11513712

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.