Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab.
Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab.
复制标题
DOI:
10.1016/j.cell.2017.09.028
复制
发表时间:
2017-11-02
期刊:
影响因子:
64.5
通讯作者:
Chan TA
中科院分区:
文献类型:
--
作者:
Riaz N;Havel JJ;Makarov V;Desrichard A;Urba WJ;Sims JS;Hodi FS;Martín-Algarra S;Mandal R;Sharfman WH;Bhatia S;Hwu WJ;Gajewski TF;Slingluff CL Jr;Chowell D;Kendall SM;Chang H;Shah R;Kuo F;Morris LGT;Sidhom JW;Schneck JP;Horak CE;Weinhold N;Chan TA
The mechanisms by which immune checkpoint blockade modulates tumor evolution during therapy are unclear. We assessed genomic changes in tumors from 68 patients with advanced melanoma, who progressed on ipilimumab or were ipilimumab-naive, before and after nivolumab initiation (CA209-038 study). Tumors were analyzed by whole-exome, transcriptome, and/or T-cell receptor (TCR) sequencing. In responding patients, mutation and neoantigen load were reduced from baseline, and analysis of intratumoral heterogeneity during therapy demonstrated differential clonal evolution within tumors and putative selection against neoantigenic mutations on-therapy. Transcriptome analyses before and during nivolumab therapy revealed increases in distinct immune cell subsets, activation of specific transcriptional networks, and upregulation of immune checkpoint genes that were more pronounced in patients with response. Temporal changes in intratumoral TCR repertoire revealed expansion of T-cell clones in the setting of neoantigen loss. Comprehensive genomic profiling data in this study provide insight into nivolumab mechanism of action. Mutation burden decreases with successful checkpoint blockade therapy in patients with melanoma, suggesting that selection against protective mutant neoepitopes may be a critical mechanism of action of Nivolumab
登录
查看更多内容
影响因子:
56.9
作者:
Arstila, TP;Casrouge, A;Kourilsky, P
通讯作者:
Kourilsky, P
影响因子:
28.2
作者:
Chen PL;Roh W;Reuben A;Cooper ZA;Spencer CN;Prieto PA;Miller JP;Bassett RL;Gopalakrishnan V;Wani K;De Macedo MP;Austin-Breneman JL;Jiang H;Chang Q;Reddy SM;Chen WS;Tetzlaff MT;Broaddus RJ;Davies MA;Gershenwald JE;Haydu L;Lazar AJ;Patel SP;Hwu P;Hwu WJ;Diab A;Glitza IC;Woodman SE;Vence LM;Wistuba II;Amaria RN;Kwong LN;Prieto V;Davis RE;Ma W;Overwijk WW;Sharpe AH;Hu J;Futreal PA;Blando J;Sharma P;Allison JP;Chin L;Wargo JA
通讯作者:
Wargo JA
影响因子:
12.3
作者:
Fisher S;Barry A;Abreu J;Minie B;Nolan J;Delorey TM;Young G;Fennell TJ;Allen A;Ambrogio L;Berlin AM;Blumenstiel B;Cibulskis K;Friedrich D;Johnson R;Juhn F;Reilly B;Shammas R;Stalker J;Sykes SM;Thompson J;Walsh J;Zimmer A;Zwirko Z;Gabriel S;Nicol R;Nusbaum C
通讯作者:
Nusbaum C
影响因子:
64.8
作者:
Landau DA;Tausch E;Taylor-Weiner AN;Stewart C;Reiter JG;Bahlo J;Kluth S;Bozic I;Lawrence M;Böttcher S;Carter SL;Cibulskis K;Mertens D;Sougnez CL;Rosenberg M;Hess JM;Edelmann J;Kless S;Kneba M;Ritgen M;Fink A;Fischer K;Gabriel S;Lander ES;Nowak MA;Döhner H;Hallek M;Neuberg D;Getz G;Stilgenbauer S;Wu CJ
通讯作者:
Wu CJ
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