Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging.
Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging.
复制标题
DOI:
10.3389/fimmu.2021.687673
复制
发表时间:
2021
影响因子:
7.3
通讯作者:
Jiang S
中科院分区:
文献类型:
--
作者:
Phillips D;Schürch CM;Khodadoust MS;Kim YH;Nolan GP;Jiang S
Immunotherapies are revolutionizing cancer treatment by boosting the natural ability of the immune system. In addition to antibodies against traditional checkpoint molecules or their ligands (i.e., CTLA-4, PD-1, and PD-L1), therapies targeting molecules such as ICOS, IDO-1, LAG-3, OX40, TIM-3, and VISTA are currently in clinical trials. To better inform clinical care and the design of therapeutic combination strategies, the co-expression of immunoregulatory proteins on individual immune cells within the tumor microenvironment must be robustly characterized. Highly multiplexed tissue imaging platforms, such as CO-Detection by indEXing (CODEX), are primed to meet this need by enabling >50 markers to be simultaneously analyzed in single-cells on formalin-fixed paraffin-embedded (FFPE) tissue sections. Assembly and validation of antibody panels is particularly challenging, with respect to the specificity of antigen detection and robustness of signal over background. Herein, we report the design, development, optimization, and application of a 56-marker CODEX antibody panel to eight cutaneous T cell lymphoma (CTCL) patient samples. This panel is comprised of structural, tumor, and immune cell markers, including eight immunoregulatory proteins that are approved or currently undergoing clinical trials as immunotherapy targets. Here we provide a resource to enable extensive high-dimensional, spatially resolved characterization of the tissue microenvironment across tumor types and imaging modalities. This framework provides researchers with a readily applicable blueprint to study tumor immunology, tissue architecture, and enable mechanistic insights into immunotherapeutic targets.
登录
查看更多内容
影响因子:
9.3
作者:
Ellington AA;Kullo IJ;Bailey KR;Klee GG
通讯作者:
Klee GG
影响因子:
64.5
作者:
Goltsev Y;Samusik N;Kennedy-Darling J;Bhate S;Hale M;Vazquez G;Black S;Nolan GP
通讯作者:
Nolan GP
影响因子:
48
作者:
Giesen, Charlotte;Wang, Hao A. O.;Bodenmiller, Bernd
通讯作者:
Bodenmiller, Bernd
影响因子:
13.6
作者:
Keren, Leeat;Bosse, Marc;Angelo, Michael
通讯作者:
Angelo, Michael
影响因子:
82.9
作者:
通讯作者:
--