↓ Skip to main content

Challenges and opportunities for checkpoint blockade in T-cell lymphoproliferative disorders

Overview of attention for article published in Journal for Immunotherapy of Cancer, December 2016
Altmetric Badge

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Challenges and opportunities for checkpoint blockade in T-cell lymphoproliferative disorders
Published in
Journal for Immunotherapy of Cancer, December 2016
DOI 10.1186/s40425-016-0201-6
Pubmed ID
Authors

Tycel Phillips, Sumana Devata, Ryan A. Wilcox

Abstract

The T-cell lymphoproliferative disorders are a heterogeneous group of non-Hodgkin's lymphomas (NHL) for which current therapeutic strategies are inadequate, as most patients afflicted with these NHL will succumb to disease progression within 2 years of diagnosis. Appreciation of the genetic and immunologic landscape of these aggressive NHL, including PD-L1 (B7-H1, CD274) expression by malignant T cells and within the tumor microenvironment, provides a strong rationale for therapeutic targeting this immune checkpoint. While further studies are needed, the available data suggests that responses with PD-1 checkpoint blockade alone will unlikely approach those achieved in other lymphoproliferative disorders. Herein, we review the unique challenges posed by the T-cell lymphoproliferative disorders and discuss potential strategies to optimize checkpoint blockade in these T-cell derived malignancies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 6 19%
Student > Doctoral Student 5 16%
Student > Master 3 10%
Other 3 10%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 10 32%
Biochemistry, Genetics and Molecular Biology 5 16%
Immunology and Microbiology 5 16%
Computer Science 2 6%
Environmental Science 1 3%
Other 3 10%
Unknown 5 16%