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Cancer Research
Article
Data sources: UnpayWall
Cancer Research
Article . 2015 . Peer-reviewed
Data sources: Crossref
Cancer Research
Article . 2015
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Classifying Cancers Based on T-cell Infiltration and PD-L1

Authors: Teng, Michele; Ngiow, Shin; Smyth, Mark; Ribas, Antoni;

Classifying Cancers Based on T-cell Infiltration and PD-L1

Abstract

Abstract Cancer immunotherapy may become a major treatment backbone in many cancers over the next decade. There are numerous immune cell types found in cancers and many components of an immune reaction to cancer. Thus, the tumor has many strategies to evade an immune response. It has been proposed that four different types of tumor microenvironment exist based on the presence or absence of tumor-infiltrating lymphocytes and programmed death-ligand 1 (PD-L1) expression. We review this stratification and the latest in a series of results that shed light on new approaches for rationally designing ideal combination cancer therapies based on tumor immunology. Cancer Res; 75(11); 2139–45. ©2015 AACR.

Keywords

Oncology and Carcinogenesis, Expression, CD8-Positive T-Lymphocytes, Immune Contexture, B7-H1 Antigen, Vaccine Related, Lymphocytes, Tumor-Infiltrating, Neoplasms, Tumor Microenvironment, Responses, Humans, 1306 Cancer Research, Oncology & Carcinogenesis, Lymphocytes, Tumor-Infiltrating, Pathways, Lung, Cancer, Neoplastic, Anti-Pd-L1 Antibody, Lung Cancer, Antitumor, Blockade, Gene Expression Regulation, Neoplastic, Nivolumab, Gene Expression Regulation, 2730 Oncology, Immunization, Immunotherapy, Safety

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.1%
Top 0.1%
Top 0.01%
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bronze