Combinatorial therapy regimens targeting preclinical models of melanoma resistant to immune checkpoint blockade

针对免疫检查点阻断耐药黑色素瘤临床前模型的联合治疗方案

阅读:12
作者:Imran Khan ,Aida Rodriguez-Brotons ,Anukana Bhattacharjee ,Vladimir Bezrookove ,Altaf Dar ,David De Semir ,Mehdi Nosrati ,Ryan Ice ,Liliana Soroceanu ,Stanley P Leong ,Kevin B Kim ,Yihui Shi ,James E Cleaver ,James R Miller 3rd ,Pierre-Yves Desprez ,John M Kirkwood ,Marcus Bosenberg ,Nathan Salomonis ,Sean McAllister ,Mohammed Kashani-Sabet

Abstract

Few effective therapeutic options exist after progression on immune checkpoint blockade (ICB) for melanoma. Here, we utilized a platform incorporating transcriptomic profiling, high-throughput drug screening, and murine models to demonstrate the preclinical efficacy of several combinatorial regimens against ICB-resistant melanoma. Transcriptomic analysis of ICB-resistant melanomas demonstrated activation of several targetable pathways. High-throughput drug screening targeting these pathways identified several effective combinations in ICB-resistant patient-derived xenograft models. The combination of cobimetinib and regorafenib (termed Cobi+Reg) emerged as a particularly promising regimen, with efficacy against distinct molecular melanoma subtypes and after progression on ICB in immunocompetent models. Transcriptomic and spatial analysis of Cobi+Reg-treated tumors demonstrated upregulation of antigen presentation machinery, with concomitantly increased activated T cell infiltration. Combining Cobi+Reg with ICB was superior to either modality in vivo. This analytical platform exploits the biology of ICB-resistant melanoma to identify therapeutic vulnerabilities, resulting in the identification of drug combinations that form the basis for rational clinical trial design in the setting of advanced melanoma resistant to ICB.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。