| dc.contributor.author | Leylek, Ozen | |
| dc.contributor.author | Honeywell, Megan E. | |
| dc.contributor.author | Lee, Michael J. | |
| dc.contributor.author | Hemann, Michael T. | |
| dc.contributor.author | Ozcan, Gulnihal | |
| dc.date.accessioned | 2024-07-22T16:31:54Z | |
| dc.date.available | 2024-07-22T16:31:54Z | |
| dc.date.issued | 2024-07-20 | |
| dc.identifier.issn | 1436-3291 | |
| dc.identifier.issn | 1436-3305 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/155732 | |
| dc.description.abstract | Background
Integrating 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.
Methods
We 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.
Results
Our 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.
Conclusion
In 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. | en_US |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1007/s10120-024-01537-y | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Springer Nature Singapore | en_US |
| dc.title | Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Leylek, O., Honeywell, M.E., Lee, M.J. et al. Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy. Gastric Cancer (2024). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | |
| dc.relation.journal | Gastric Cancer | en_US |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2024-07-21T03:13:38Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The Author(s) | |
| dspace.embargo.terms | N | |
| dspace.date.submission | 2024-07-21T03:13:38Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |