干扰素
免疫
生物
免疫原性
RNA沉默
癌症研究
细胞
核糖核酸
RNA干扰
免疫系统
免疫学
基因
生物化学
作者
Andrew A. Guirguis,Yaara Ofir-Rosenfeld,Kathy Knezevic,Wesley Blackaby,David Hardick,Yih-Chih Chan,Ali Motazedian,Andrea Gillespie,Dane Vassiliadis,Enid Y.N. Lam,Kevin Tran,Byron Andrews,Michael E. Harbour,Lina Vasiliauskaitė,Claire J. Saunders,Georgia Tsagkogeorga,Aleksandra Azevedo,Joanna Obacz,Ewa S. Pilka,Marie Carkill
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2023-08-07
卷期号:13 (10): 2228-2247
被引量:111
标识
DOI:10.1158/2159-8290.cd-23-0007
摘要
Therapies that enhance antitumor immunity have altered the natural history of many cancers. Consequently, leveraging nonoverlapping mechanisms to increase immunogenicity of cancer cells remains a priority. Using a novel enzymatic inhibitor of the RNA methyl-transferase METTL3, we demonstrate a global decrease in N6-methyladenosine (m6A) results in double-stranded RNA (dsRNA) formation and a profound cell-intrinsic interferon response. Through unbiased CRISPR screens, we establish dsRNA-sensing and interferon signaling are primary mediators that potentiate T-cell killing of cancer cells following METTL3 inhibition. We show in a range of immunocompetent mouse models that although METTL3 inhibition is equally efficacious to anti-PD-1 therapy, the combination has far greater preclinical activity. Using SPLINTR barcoding, we demonstrate that anti-PD-1 therapy and METTL3 inhibition target distinct malignant clones, and the combination of these therapies overcomes clones insensitive to the single agents. These data provide the mole-cular and preclinical rationale for employing METTL3 inhibitors to promote antitumor immunity in the clinic. SIGNIFICANCE: This work demonstrates that METTL3 inhibition stimulates a cell-intrinsic interferon response through dsRNA formation. This immunomodulatory mechanism is distinct from current immunotherapeutic agents and provides the molecular rationale for combination with anti-PD-1 immune-checkpoint blockade to augment antitumor immunity. This article is featured in Selected Articles from This Issue, p. 2109.
科研通智能强力驱动
Strongly Powered by AbleSci AI