Molecular signatures to improve diagnosis in peripheral T-cell lymphoma and prognostication in angioimmunoblastic T-cell lymphoma

Author:

Iqbal Javeed1,Weisenburger Dennis D.1,Greiner Timothy C.1,Vose Julie M.2,McKeithan Timothy2,Kucuk Can1,Geng Huimin1,Deffenbacher Karen1,Smith Lynette3,Dybkaer Karen4,Nakamura Shigeo5,Seto Masao5,Delabie Jan6,Berger Francoise7,Loong Florence8,Au Wing Y.8,Ko Young-Hyeh9,Sng Ivy10,Armitage James Olen2,Chan Wing C.1,

Affiliation:

1. Departments of Pathology and Microbiology,

2. Hematology/Oncology, and

3. Preventive Medicine, University of Nebraska Medical Center, Omaha;

4. Department of Hematology, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark;

5. Aichi Cancer Center, Nagoya, Japan;

6. Norwegian Radium Hospital, Oslo; Norway;

7. Centre Hospitalier Lyon-Sud, Lyon, France;

8. Queen Mary Hospital, Hong Kong, China;

9. Samsung Medical Center, Seoul, Korea; and

10. Singapore General Hospital, Singapore

Abstract

Abstract Peripheral T-cell lymphoma (PTCL) is often challenging to diagnose and classify. Gene expression profiling was performed on 144 cases of PTCL and natural killer cell lymphoma and robust molecular classifiers were constructed for angioimmunoblastic T-cell lymphoma (AITL), anaplastic lymphoma kinase-positive (ALK+) anaplastic large-cell lymphoma (ALCL), and adult T-cell leukemia/lymphoma. PTCL-unclassifiable was molecularly heterogeneous, but we were able to identify a molecular subgroup with features of cytotoxic T lymphocytes and a poor survival compared with the remaining PTCL–not otherwise specified cases. Many of the pathologic features and substantial components of the molecular signature of AITL are contributed by the follicular dendritic cells, B-cell, and other stromal components. The expression of Th17-associated molecules in ALK+ ALCL was noted and may represent aberrant activation of Th17-cell differentiation by abnormal cytokine secretion. Adult T-cell leukemia/lymphoma has a homogeneous molecular signature demonstrating high expression of human T-lymphotropic virus type 1–induced genes. These classifiers reflect the biology of the tumor cells as well as their microenvironment. We also constructed a molecular prognosticator for AITL that appears to be largely related to the microenvironmental signature, and the high expression of 2 immunosuppressive signatures are associated with poor outcome. Oncogenic pathways and tumor-host interactions also were identified, and these findings may lead to better therapies and outcome in the future.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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