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

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 increm...

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Autores principales: Leylek, Ozen, Honeywell, Megan E., Lee, Michael J., Hemann, Michael T., Ozcan, Gulnihal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592690/
https://www.ncbi.nlm.nih.gov/pubmed/37873383
http://dx.doi.org/10.1101/2023.10.07.561351
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author Leylek, Ozen
Honeywell, Megan E.
Lee, Michael J.
Hemann, Michael T.
Ozcan, Gulnihal
author_facet Leylek, Ozen
Honeywell, Megan E.
Lee, Michael J.
Hemann, Michael T.
Ozcan, Gulnihal
author_sort Leylek, Ozen
collection PubMed
description 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.
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spelling pubmed-105926902023-11-20 Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy Leylek, Ozen Honeywell, Megan E. Lee, Michael J. Hemann, Michael T. Ozcan, Gulnihal bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-11-19 /pmc/articles/PMC10592690/ /pubmed/37873383 http://dx.doi.org/10.1101/2023.10.07.561351 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Leylek, Ozen
Honeywell, Megan E.
Lee, Michael J.
Hemann, Michael T.
Ozcan, Gulnihal
Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title_full Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title_fullStr Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title_full_unstemmed Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title_short Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
title_sort functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592690/
https://www.ncbi.nlm.nih.gov/pubmed/37873383
http://dx.doi.org/10.1101/2023.10.07.561351
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