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功能基因组学揭示了胃癌治疗中药物协同作用的脱靶依赖性。

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

作者信息

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

机构信息

Koç University Research Center for Translational Medicine, Istanbul, 34450 Turkiye.

Department of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605 USA.

出版信息

bioRxiv. 2023 Nov 19:2023.10.07.561351. doi: 10.1101/2023.10.07.561351.

DOI:10.1101/2023.10.07.561351
PMID:37873383
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10592690/
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.

摘要

抗癌药物的合理组合对于改善癌症患者的治疗效果至关重要。尽管如此,临床上大多数联合治疗方案都是基于经验方法得出的,忽视了对作用机制的深入了解,错失了逐步改善治疗效果的机会。破解导致协同相互作用的基因依赖性和脆弱性对于合理开发有效的抗癌药物组合至关重要。因此,我们筛选了分子靶向药物与传统化疗药物之间的成对药理相互作用,并在胃腺癌细胞模型中研究了全基因组范围内的基因依赖性。由于这种类型的癌症主要具有化疗抗性且难以治愈,临床情况需要有效的联合策略。我们的成对联合筛选显示,SN38/厄洛替尼是协同作用最强的药物组合。全基因组CRISPR筛选和基于shRNA的特征分析表明,SN38/厄洛替尼的基因依赖性/脆弱性特征与单独使用SN38时相同。进一步研究发现,SN38/厄洛替尼组合导致的细胞死亡增强及死亡动力学改善,令人惊讶的是由于厄洛替尼的脱靶效应抑制了ABCG2,而非其对EGFR的靶向效应。我们的结果证实,在胃腺癌中,分子靶向药物与传统化疗药物的协同相互作用可能并不需要与单一药物应用不同的基因依赖性特征。这些发现还证明了功能基因组学方法在揭示药理相互作用的生物学验证机制方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/80eb1d5eae12/nihpp-2023.10.07.561351v2-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/983ed3ac0d0c/nihpp-2023.10.07.561351v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/ffb1d98cc44e/nihpp-2023.10.07.561351v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/5e2da8d84830/nihpp-2023.10.07.561351v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/51a78e38d7ca/nihpp-2023.10.07.561351v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/18edd655a658/nihpp-2023.10.07.561351v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/1ea07d163c09/nihpp-2023.10.07.561351v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/80eb1d5eae12/nihpp-2023.10.07.561351v2-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/983ed3ac0d0c/nihpp-2023.10.07.561351v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/ffb1d98cc44e/nihpp-2023.10.07.561351v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/5e2da8d84830/nihpp-2023.10.07.561351v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/51a78e38d7ca/nihpp-2023.10.07.561351v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/18edd655a658/nihpp-2023.10.07.561351v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/1ea07d163c09/nihpp-2023.10.07.561351v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab10/10659872/80eb1d5eae12/nihpp-2023.10.07.561351v2-f0007.jpg

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Integrated CRISPR screening and drug profiling identifies combination opportunities for EGFR, ALK, and BRAF/MEK inhibitors.整合 CRISPR 筛选和药物分析鉴定出 EGFR、ALK 和 BRAF/MEK 抑制剂的联合用药机会。
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