Characterization of the Immune Cell Infiltration Landscape in Head and Neck Squamous Cell Carcinoma to Aid Immunotherapy.
Characterization of the Immune Cell Infiltration Landscape in Head and Neck Squamous Cell Carcinoma to Aid Immunotherapy.
复制标题
DOI:
10.1016/j.omtn.2020.08.030
复制
发表时间:
2020-12-04
期刊:
影响因子:
--
通讯作者:
Zhang B
中科院分区:
文献类型:
--
作者:
Zhang X;Shi M;Chen T;Zhang B
The tumor microenvironment (TME) chiefly consists of tumor cells and tumor-infiltrating immune cells admixed with the stromal component. A recent clinical trial has shown that the tumor immune cell infiltration (ICI) is correlated with the sensitivity to immunotherapy and the head and neck squamous cell carcinoma (HNSC) prognosis. However, to date, the immune infiltrative landscape of HNSC has not yet been elucidated. Herein, we proposed two computational algorithms to unravel the ICI landscape of 1,029 HNSC patients. Three ICI patterns were defined, and the ICI scores were determined by using principal-component analysis. A high ICI score was characterized by an increased tumor mutation burden (TMB) and the immune-activating signaling pathways. Activation of transforming growth factor-β (TGF-β) and WNT signaling pathways were observed in low ICI score subtypes, indicating T cell suppression, and may be responsible for poor prognosis. Two immunotherapy cohorts confirmed patients with higher ICI scores demonstrated significant therapeutic advantages and clinical benefits. This study demonstrated that the ICI scores serve as an effective prognostic biomarker and predictive indicator for immunotherapy. Evaluating the ICI patterns of a larger cohort of samples will extend our understanding of TME, and it may provide directions to the current research investigations on immunotherapeutic strategies for HNSC. Understanding the tumor-immune microenvironment is critical for improving the efficacy of current immunotherapies. Zhang et al. comprehensively evaluated the cellular, molecular, and genetic factors associated with immune cell infiltration patterns. These have important implications for how tumors respond to immunotherapies and may guide more effective immunotherapy strategies.
登录
查看更多内容
影响因子:
8.8
作者:
Bramsen, Jesper Bertram;Rasmussen, Mads Heilskov;Andersen, Claus Lindbjerg
通讯作者:
Andersen, Claus Lindbjerg
影响因子:
51.1
作者:
Garassino, Marina C.;Gadgeel, Shirish;Rodriguez-Abreu, Delvys
通讯作者:
Rodriguez-Abreu, Delvys
影响因子:
5.8
作者:
Kursa, Miron B.;Rudnicki, Witold R.
通讯作者:
Rudnicki, Witold R.
影响因子:
64.8
作者:
Burr ML;Sparbier CE;Chan YC;Williamson JC;Woods K;Beavis PA;Lam EYN;Henderson MA;Bell CC;Stolzenburg S;Gilan O;Bloor S;Noori T;Morgens DW;Bassik MC;Neeson PJ;Behren A;Darcy PK;Dawson SJ;Voskoboinik I;Trapani JA;Cebon J;Lehner PJ;Dawson MA
通讯作者:
Dawson MA
DOI:
10.1126/science.aar3593
发表时间:
2018-10-12
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Cristescu R;Mogg R;Ayers M;Albright A;Murphy E;Yearley J;Sher X;Liu XQ;Lu H;Nebozhyn M;Zhang C;Lunceford JK;Joe A;Cheng J;Webber AL;Ibrahim N;Plimack ER;Ott PA;Seiwert TY;Ribas A;McClanahan TK;Tomassini JE;Loboda A;Kaufman D
通讯作者:
Kaufman D