Tumor matrix remodeling and novel immunotherapies: the promise of matrix-derived immune biomarkers.
Tumor matrix remodeling and novel immunotherapies: the promise of matrix-derived immune biomarkers.
复制标题
DOI:
10.1186/s40425-018-0376-0
复制
发表时间:
2018-07-03
影响因子:
10.9
通讯作者:
Asimakopoulos F
中科院分区:
文献类型:
--
作者:
Mushtaq MU;Papadas A;Pagenkopf A;Flietner E;Morrow Z;Chaudhary SG;Asimakopoulos F
Recent advances in our understanding of the dynamics of cellular cross-talk have highlighted the significance of host-versus-tumor effect that can be harnessed with immune therapies. Tumors exploit immune checkpoints to evade adaptive immune responses. Cancer immunotherapy has witnessed a revolution in the past decade with the development of immune checkpoint inhibitors (ICIs), monoclonal antibodies against cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1) or their ligands, such as PD1 ligand 1 (PD-L1). ICIs have been reported to have activity against a broad range of tumor types, in both solid organ and hematologic malignancy contexts. However, less than one-third of the patients achieve a durable and meaningful treatment response. Expression of immune checkpoint ligands (e.g., PD-L1), mutational burden and tumor-infiltrating lymphocytes are currently used as biomarkers for predicting response to ICIs. However, they do not reliably predict which patients will benefit from these therapies. There is dire need to discover novel biomarkers to predict treatment efficacy and to identify areas for development of combination strategies to improve response rates. Emerging evidence suggests key roles of tumor extracellular matrix (ECM) components and their proteolytic remodeling products in regulating each step of the cancer-immunity cycle. Here we review tumor matrix dynamics and matrix remodeling in context of anti-tumor immune responses and immunotherapy and propose the exploration of matrix-based biomarkers to identify candidates for immune therapy.
登录
查看更多内容
影响因子:
4.4
作者:
Bose, Anamika;Barik, Subhasis;Majumdar, Subrata
通讯作者:
Majumdar, Subrata
影响因子:
6.8
作者:
Cathcart, Jillian;Pulkoski-Gross, Ashleigh;Cao, Jian
通讯作者:
Cao, Jian
影响因子:
15.9
作者:
Abramsson, A;Lindblom, P;Betsholtz, C
通讯作者:
Betsholtz, C
影响因子:
3.9
作者:
Adotevi, Olivier;Pere, Helene;Tartour, Eric
通讯作者:
Tartour, Eric
DOI:
10.1056/nejmoa1504627
发表时间:
2015-07-09
期刊:
The New England journal of medicine
影响因子:
--
作者:
Brahmer J;Reckamp KL;Baas P;Crinò L;Eberhardt WE;Poddubskaya E;Antonia S;Pluzanski A;Vokes EE;Holgado E;Waterhouse D;Ready N;Gainor J;Arén Frontera O;Havel L;Steins M;Garassino MC;Aerts JG;Domine M;Paz-Ares L;Reck M;Baudelet C;Harbison CT;Lestini B;Spigel DR
通讯作者:
Spigel DR