Koç University Research Center for Translational Medicine, 34450, Istanbul, Turkey.
Department of Systems Biology, UMass Chan Medical School, Worcester, MA, 01605, USA.
Gastric Cancer. 2024 Nov;27(6):1201-1219. doi: 10.1007/s10120-024-01537-y. Epub 2024 Jul 20.
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.
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.
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.
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.
将分子靶向药物整合到联合化疗中,可以改变癌症的治疗效果。然而,要充分发挥这种方法的潜力,需要清楚地了解药物协同作用的遗传依赖性。虽然传统化疗药物之间的相互作用已经得到了充分的研究,但分子靶向药物与传统化疗药物的相互作用仍然是癌症治疗的一个前沿领域。因此,我们利用强大的功能基因组学方法来解码驱动分子靶向药物/化疗药物联合治疗在胃腺癌中协同作用的基因组依赖性,这是胃癌治疗中的一个关键需求。
我们在胃腺癌细胞中筛选了 15 对分子靶向药物/传统化疗药物的药物相互作用,并通过全基因组 CRISPR 筛选与基于 shRNA 的特征测定相结合,研究了协同作用的基因组规模遗传依赖性。我们使用荧光基于和基于溶解的细胞死亡动力学测定法来验证细胞死亡的协同作用,并通过单基因敲除实验验证遗传依赖性。
我们的联合筛选发现 SN-38/厄洛替尼是协同作用最强的药物组合。功能基因组学检测揭示了 SN-38/厄洛替尼的遗传依赖性特征与 SN-38 相同。值得注意的是,SN-38/厄洛替尼诱导的动力学改善的增强细胞死亡归因于厄洛替尼的非靶点效应,抑制了 ABCG2,而不是其对 EGFR 的靶点效应。
在精准医学时代,强调主要药物靶点的情况下,我们的研究通过展示基于非靶点依赖性的强大协同作用,挑战了这一范式。进一步剖析协同作用背后复杂的遗传依赖性,可以为胃癌治疗中开发更有效的联合治疗策略铺平道路。