CD83 expression characterizes precursor exhausted T cell population.
CD83 expression characterizes precursor exhausted T cell population.
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CD83 表达是前体耗尽 T 细胞群的特征。
DOI:
10.1038/s42003-023-04631-6
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发表时间:
2023-03-11
影响因子:
5.9
通讯作者:
中科院分区:
文献类型:
--
作者:
T cell exhaustion is a main obstacle against effective cancer immunotherapy. Exhausted T cells include a subpopulation that maintains proliferative capacity, referred to as precursor exhausted T cells (TPEX). While functionally distinct and important for antitumor immunity, TPEX possess some overlapping phenotypic features with the other T-cell subsets within the heterogeneous tumor-infiltrating T-lymphocytes (TIL). Here we explore surface marker profiles unique to TPEX using the tumor models treated by chimeric antigen receptor (CAR)-engineered T cells. We find that CD83 is predominantly expressed in the CCR7+PD1+ intratumoral CAR-T cells compared with the CCR7-PD1+ (terminally differentiated) and CAR-negative (bystander) T cells. The CD83+CCR7+ CAR-T cells exhibit superior antigen-induced proliferation and IL-2 production compared with the CD83- T cells. Moreover, we confirm selective expression of CD83 in the CCR7+PD1+ T-cell population in primary TIL samples. Our findings identify CD83 as a marker to discriminate TPEX from terminally exhausted and bystander TIL. CD83, a member of the immunoglobulin superfamily, is a novel marker to discriminate precursor exhausted T cells from terminally exhausted and bystander tumor-infiltrating T-lymphocytes.
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影响因子:
64.8
作者:
Im SJ;Hashimoto M;Gerner MY;Lee J;Kissick HT;Burger MC;Shan Q;Hale JS;Lee J;Nasti TH;Sharpe AH;Freeman GJ;Germain RN;Nakaya HI;Xue HH;Ahmed R
通讯作者:
Ahmed R
影响因子:
64.5
作者:
Good CR;Aznar MA;Kuramitsu S;Samareh P;Agarwal S;Donahue G;Ishiyama K;Wellhausen N;Rennels AK;Ma Y;Tian L;Guedan S;Alexander KA;Zhang Z;Rommel PC;Singh N;Glastad KM;Richardson MW;Watanabe K;Tanyi JL;O'Hara MH;Ruella M;Lacey SF;Moon EK;Schuster SJ;Albelda SM;Lanier LL;Young RM;Berger SL;June CH
通讯作者:
June CH
影响因子:
32.4
作者:
Ebert, Peter J. R.;Cheung, Jeanne;Mellman, Ira
通讯作者:
Mellman, Ira
影响因子:
5.4
作者:
Grayson, Jason M.;Weant, Ashley E.;Hildeman, David
通讯作者:
Hildeman, David
影响因子:
15.9
作者:
Baitsch, Lukas;Baumgaertner, Petra;Speiser, Daniel E.
通讯作者:
Speiser, Daniel E.