An unbiased in vivo functional genomics screening approach in mice identifies novel tumor cell-based regulators of immune rejection.
An unbiased in vivo functional genomics screening approach in mice identifies novel tumor cell-based regulators of immune rejection.
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DOI:
10.1007/s00262-017-2047-2
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发表时间:
2017-12
期刊:
影响因子:
--
通讯作者:
Weiner LM
中科院分区:
文献类型:
--
作者:
Shuptrine CW;Ajina R;Fertig EJ;Jablonski SA;Kim Lyerly H;Hartman ZC;Weiner LM
The clinical successes of immune checkpoint therapies for cancer make it important to identify mechanisms of resistance to anti-tumor immune responses. Numerous resistance mechanisms have been identified employing studies of single genes or pathways, thereby parsing the tumor microenvironment complexity into tractable pieces. However, this limits the potential for novel gene discovery to in vivo immune attack. To address this challenge, we developed an unbiased in vivo genome-wide RNAi screening platform that leverages host immune selection in strains of immunocompetent and immunodeficient mice to select for tumor cell-based genes that regulate in vivo sensitivity to immune attack. Utilizing this approach in a syngeneic Triple-Negative Breast Cancer (TNBC) model, we identified 709 genes that selectively regulated adaptive anti-tumor immunity, and focused on five genes (CD47, TGFβ1, Sgpl1, Tex9 and Pex14) with the greatest impact. We validated the mechanisms that underlie the immune-related effects of expression of these genes in different TNBC lines, as well as tandem synergistic interactions. Furthermore, we demonstrate the impact of different genes with previously unknown immune functions (Tex9 and Pex14) on anti-tumor immunity. Thus, this innovative approach has utility in identifying unknown tumor-specific regulators of immune recognition in multiple settings to reveal novel targets for future immunotherapies.
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影响因子:
82.9
作者:
Liu X;Pu Y;Cron K;Deng L;Kline J;Frazier WA;Xu H;Peng H;Fu YX;Xu MM
通讯作者:
Xu MM
DOI:
10.1056/nejmoa1003466
发表时间:
2010-08-19
期刊:
The New England journal of medicine
影响因子:
--
作者:
Hodi FS;O'Day SJ;McDermott DF;Weber RW;Sosman JA;Haanen JB;Gonzalez R;Robert C;Schadendorf D;Hassel JC;Akerley W;van den Eertwegh AJ;Lutzky J;Lorigan P;Vaubel JM;Linette GP;Hogg D;Ottensmeier CH;Lebbé C;Peschel C;Quirt I;Clark JI;Wolchok JD;Weber JS;Tian J;Yellin MJ;Nichol GM;Hoos A;Urba WJ
通讯作者:
Urba WJ
影响因子:
4.7
作者:
Leto, Simonetta M.;Trusolino, Livio
通讯作者:
Trusolino, Livio
影响因子:
45.3
作者:
Lynch, Thomas J.;Bondarenko, Igor;Reck, Martin
通讯作者:
Reck, Martin
影响因子:
64.5
作者:
Albertini, M;Rehling, P;Kunau, WH
通讯作者:
Kunau, WH