Noninvasive Early Identification of Therapeutic Benefit from Immune Checkpoint Inhibition.
Noninvasive Early Identification of Therapeutic Benefit from Immune Checkpoint Inhibition.
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DOI:
10.1016/j.cell.2020.09.001
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发表时间:
2020-10-15
期刊:
影响因子:
64.5
通讯作者:
Diehn M
中科院分区:
文献类型:
--
作者:
Nabet BY;Esfahani MS;Moding EJ;Hamilton EG;Chabon JJ;Rizvi H;Steen CB;Chaudhuri AA;Liu CL;Hui AB;Almanza D;Stehr H;Gojenola L;Bonilla RF;Jin MC;Jeon YJ;Tseng D;Liu C;Merghoub T;Neal JW;Wakelee HA;Padda SK;Ramchandran KJ;Das M;Plodkowski AJ;Yoo C;Chen EL;Ko RB;Newman AM;Hellmann MD;Alizadeh AA;Diehn M
Although treatment of non-small cell lung cancer (NSCLC) with immune checkpoint inhibitors (ICI) can produce remarkably durable responses, most patients develop early disease progression. Furthermore, initial response assessment by conventional imaging is often unable to identify which patients will achieve durable clinical benefit (DCB). Here, we demonstrate that pre-treatment circulating tumor DNA (ctDNA) and peripheral CD8 T cell levels are independently associated with DCB. We further show that ctDNA dynamics after a single infusion can aid in identification of patients who will achieve DCB. Integrating these determinants, we developed and validated an entirely noninvasive multiparameter assay (DIREct-On, Durable Immunotherapy Response Estimation by immune profiling and ctDNA- On-treatment) that robustly predicts which patients will achieve DCB with higher accuracy than any individual feature. Taken together, these results demonstrate that integrated ctDNA and circulating immune cell profiling can provide accurate, noninvasive, and early forecasting of ultimate outcomes for NSCLC patients receiving ICI. Multiparameter noninvasive models that integrate pre-treatment ctDNA and peripheral CD8+ T cell features, together with early on-treatment ctDNA dynamics, show promise in predicting durable clinical response to immune checkpoint blockade treatment in patients with non-small cell lung cancer.
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8.4
作者:
Eisenhauer, E. A.;Therasse, P.;Verweij, J.
通讯作者:
Verweij, J.
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16.6
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Chabon JJ;Simmons AD;Lovejoy AF;Esfahani MS;Newman AM;Haringsma HJ;Kurtz DM;Stehr H;Scherer F;Karlovich CA;Harding TC;Durkin KA;Otterson GA;Purcell WT;Camidge DR;Goldman JW;Sequist LV;Piotrowska Z;Wakelee HA;Neal JW;Alizadeh AA;Diehn M
通讯作者:
Diehn M
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Lim, C.;Tsao, M. S.;Leighl, N. B.
通讯作者:
Leighl, N. B.
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--
影响因子:
82.9
作者:
Auslander N;Zhang G;Lee JS;Frederick DT;Miao B;Moll T;Tian T;Wei Z;Madan S;Sullivan RJ;Boland G;Flaherty K;Herlyn M;Ruppin E
通讯作者:
Ruppin E