Tumor evolution selectively inactivates the core microRNA machinery for immune evasion.
Tumor evolution selectively inactivates the core microRNA machinery for immune evasion.
复制标题
肿瘤进化选择性地使核心微小RNA机制失活以实现免疫逃逸。
DOI:
10.1038/s41467-021-27331-3
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发表时间:
2021-12-01
影响因子:
16.6
通讯作者:
Cang Y
中科院分区:
文献类型:
--
作者:
Song TY;Long M;Zhao HX;Zou MW;Fan HJ;Liu Y;Geng CL;Song MF;Liu YF;Chen JY;Yang YL;Zhou WR;Huang DW;Peng B;Peng ZG;Cang Y
Cancer cells acquire genetic heterogeneity to escape from immune surveillance during tumor evolution, but a systematic approach to distinguish driver from passenger mutations is lacking. Here we investigate the impact of different immune pressure on tumor clonal dynamics and immune evasion mechanism, by combining massive parallel sequencing of immune edited tumors and CRISPR library screens in syngeneic mouse tumor model and co-culture system. We find that the core microRNA (miRNA) biogenesis and targeting machinery maintains the sensitivity of cancer cells to PD-1-independent T cell-mediated cytotoxicity. Genetic inactivation of the machinery or re-introduction of ANKRD52 frequent patient mutations dampens the JAK-STAT-interferon-γ signaling and antigen presentation in cancer cells, largely by abolishing miR-155-targeted silencing of suppressor of cytokine signaling 1 (SOCS1). Expression of each miRNA machinery component strongly correlates with intratumoral T cell infiltration in nearly all human cancer types. Our data indicate that the evolutionarily conserved miRNA pathway can be exploited by cancer cells to escape from T cell-mediated elimination and immunotherapy. Dysregulation of the microRNA machinery has crucial roles in cancer development. Here the authors show that inactivation of proteins involved in microRNA-mediated gene silencing, such as ANKRD52 or AGO2, confers resistance to T cell-mediated immune response in a preclinical cancer model.
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影响因子:
64.8
作者:
Ishizuka, Jeffrey J.;Manguso, Robert T.;Haining, W. Nicholas
通讯作者:
Haining, W. Nicholas
影响因子:
64.8
作者:
Ghandi, Mahmoud;Huang, Franklin W.;Sellers, William R.
通讯作者:
Sellers, William R.
DOI:
10.1126/science.1174334
发表时间:
2009-08-21
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Hill DA;Ivanovich J;Priest JR;Gurnett CA;Dehner LP;Desruisseau D;Jarzembowski JA;Wikenheiser-Brokamp KA;Suarez BK;Whelan AJ;Williams G;Bracamontes D;Messinger Y;Goodfellow PJ
通讯作者:
Goodfellow PJ
影响因子:
64.5
作者:
Hugo W;Zaretsky JM;Sun L;Song C;Moreno BH;Hu-Lieskovan S;Berent-Maoz B;Pang J;Chmielowski B;Cherry G;Seja E;Lomeli S;Kong X;Kelley MC;Sosman JA;Johnson DB;Ribas A;Lo RS
通讯作者:
Lo RS
影响因子:
21.3
作者:
Baer, Caroline;Squadrito, Mario Leonardo;De Palma, Michele
通讯作者:
De Palma, Michele