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Genetics of Cutaneous T Cell Lymphoma: From Bench to Bedside

Overview of attention for article published in Current Treatment Options in Oncology, June 2016
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Title
Genetics of Cutaneous T Cell Lymphoma: From Bench to Bedside
Published in
Current Treatment Options in Oncology, June 2016
DOI 10.1007/s11864-016-0410-8
Pubmed ID
Authors

William E. Damsky, Jaehyuk Choi

Abstract

Cutaneous T cell lymphomas (CTCLs) are non-Hodgkin lymphomas of skin homing T cells. Although early-stage disease may be limited to the skin, tumor cells in later stage disease can populate the blood, the lymph nodes, and the visceral organs. Unfortunately, there are few molecular biomarkers to guide diagnosis, staging, or treatment of CTCL. Diagnosis of CTCL can be challenging and requires the synthesis of clinical findings, histopathology, and T cell clonality studies; however, none of these tests are entirely sensitive or specific for CTCL. Treatment of CTCL is often empiric and is not typically based on specific molecular alterations, as is common in other cancers. In part, limitations in diagnosis and treatment selection reflect the limited insight into the genetic basis of CTCL. Recent next-generation sequencing has revolutionized our understanding of the mutational landscape in this disease. These analyses have uncovered ultraviolet radiation and recombination activating gene (RAG) endonucleases as important mutagens. Furthermore, these studies have revealed potentially targetable oncogenic mutations in the T cell receptor complex, NF-κB, and JAK-STAT signaling pathways. Collectively, these somatic mutations drive lymphomagenesis via cancer-promoting changes in proliferation, apoptosis, and T cell effector function. We expect that these genetic findings will launch a new era of precision medicine in CTCL.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 7 11%
Other 6 10%
Student > Doctoral Student 6 10%
Researcher 5 8%
Other 14 23%
Unknown 16 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 19%
Medicine and Dentistry 12 19%
Agricultural and Biological Sciences 6 10%
Immunology and Microbiology 5 8%
Mathematics 1 2%
Other 7 11%
Unknown 19 31%