Literature DB >> 26319391

Genomic signatures in T-cell lymphoma: How can these improve precision in diagnosis and inform prognosis?

Javeed Iqbal1, Ryan Wilcox2, Hina Naushad3, Joseph Rohr4, Tayla B Heavican3, Chao Wang4, Alyssa Bouska3, Kai Fu3, Wing C Chan5, Julie M Vose6.   

Abstract

The novel genetic information gained from genome-wide high throughput techniques has greatly improved our understanding of peripheral T-cell lymphoma (PTCL). PTCL consists of numerous distinct entities and is currently diagnosed using a combination of clinical and morphologic features and immunophenotyping together with limited molecular assays leading to an often fragmented, complicated diagnostic system. The diagnosis of many cases is challenging even for expert hematopathologists and more than a third of the cases cannot be further classified and thus put into the PTCL-NOS category. Gene expression profiling (GEP) has significantly improved the molecular classification of PTCLs and identified robust molecular signatures for common nodal subtypes of PTCL including angioimmunoblastic T-cell lymphoma (AITL), anaplastic T-cell lymphoma (ALCL), adult T-cell leukemia/lymphoma (ATLL) and extra-nodal NK/T cell lymphoma (ENKTL). These studies also led to identification of novel molecular subtypes with distinct prognosis, that otherwise could not be identified by conventional methods. Integration of massive sequencing strategies and gene expression has characterized driver genetic alterations in common subtypes like AITL, ALCL, ENKTL and other PTCLs. These studies have identified oncogenic pathways and genes affected in specific disease subtypes that can be potentially targeted by specific therapies. Novel treatment options with FDA approved drugs directed towards mutant IDH2, the NF-κB, JAK/STAT, or mTOR pathways illustrate the usefulness of genome-wide techniques to identify targets for therapy. In this review, we highlight recent advances in the molecular diagnosis and prognosis of PTCL using these genome-wide techniques.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  Molecular classification; gene expression profiling; molecular prognosis; peripheral T-cell lymphoma; targeted therapy

Mesh:

Substances:

Year:  2015        PMID: 26319391     DOI: 10.1016/j.blre.2015.08.003

Source DB:  PubMed          Journal:  Blood Rev        ISSN: 0268-960X            Impact factor:   8.250


  23 in total

Review 1.  Ontogeny, Genetics, Molecular Biology, and Classification of B- and T-Cell Non-Hodgkin Lymphoma.

Authors:  Russell James Hubbard Ryan; Ryan Alan Wilcox
Journal:  Hematol Oncol Clin North Am       Date:  2019-05-18       Impact factor: 3.722

Review 2.  Update on the classification of T-cell lymphomas, Hodgkin lymphomas, and histiocytic/dendritic cell neoplasms.

Authors:  Akira Satou; N Nora Bennani; Andrew L Feldman
Journal:  Expert Rev Hematol       Date:  2019-07-31       Impact factor: 2.929

3.  A single center phase II study of ixazomib in patients with relapsed or refractory cutaneous or peripheral T-cell lymphomas.

Authors:  Philip S Boonstra; Avery Polk; Noah Brown; Alexandra C Hristov; Nathanael G Bailey; Mark S Kaminski; Tycel Phillips; Sumana Devata; Tera Mayer; Ryan A Wilcox
Journal:  Am J Hematol       Date:  2017-09-25       Impact factor: 10.047

Review 4.  The curious origins of angioimmunoblastic T-cell lymphoma.

Authors:  José R Cortés; Teresa Palomero
Journal:  Curr Opin Hematol       Date:  2016-07       Impact factor: 3.284

5.  Phase I/II study of dasatinib and exploratory genomic analysis in relapsed or refractory non-Hodgkin lymphoma.

Authors:  Jayadev M Umakanthan; Javeed Iqbal; Connie L Batlevi; Alyssa Bouska; Lynette M Smith; Valerie Shostrom; Heather Nutsch; Basem M William; R Gregory Bociek; Matthew Lunning; Philip Bierman; Anas Younes; James O Armitage; Julie M Vose
Journal:  Br J Haematol       Date:  2018-12-05       Impact factor: 6.998

Review 6.  Diagnosis and classification of hematologic malignancies on the basis of genetics.

Authors:  Justin Taylor; Wenbin Xiao; Omar Abdel-Wahab
Journal:  Blood       Date:  2017-06-09       Impact factor: 22.113

7.  T-cell Receptor Signaling Activates an ITK/NF-κB/GATA-3 axis in T-cell Lymphomas Facilitating Resistance to Chemotherapy.

Authors:  Tianjiao Wang; Ye Lu; Avery Polk; Pinki Chowdhury; Carlos Murga-Zamalloa; Hiroshi Fujiwara; Koichiro Suemori; Niklas Beyersdorf; Alexandra C Hristov; Megan S Lim; Nathanael G Bailey; Ryan A Wilcox
Journal:  Clin Cancer Res       Date:  2016-10-25       Impact factor: 12.531

Review 8.  GATA-3 in T-cell lymphoproliferative disorders.

Authors:  Carlos Murga-Zamalloa; Ryan A Wilcox
Journal:  IUBMB Life       Date:  2019-07-17       Impact factor: 3.885

9.  RHOA G17V Induces T Follicular Helper Cell Specification and Promotes Lymphomagenesis.

Authors:  Jose R Cortes; Alberto Ambesi-Impiombato; Lucile Couronné; S Aidan Quinn; Christine S Kim; Ana C da Silva Almeida; Zachary West; Laura Belver; Marta Sanchez Martin; Laurianne Scourzic; Govind Bhagat; Olivier A Bernard; Adolfo A Ferrando; Teresa Palomero
Journal:  Cancer Cell       Date:  2018-02-02       Impact factor: 31.743

10.  Genome-Wide miRNA Expression Profiling of Molecular Subgroups of Peripheral T-cell Lymphoma.

Authors:  Waseem Lone; Alyssa Bouska; Sunandini Sharma; Catalina Amador; Mallick Saumyaranjan; Tyler A Herek; Tayla B Heavican; Jiayu Yu; Soon Thye Lim; Choon Kiat Ong; Graham W Slack; Kerry J Savage; Andreas Rosenwald; German Ott; James R Cook; Andrew L Feldman; Lisa M Rimsza; Timothy W McKeithan; Timothy C Greiner; Dennis D Weisenburger; Federica Melle; Giovanna Motta; Stefano Pileri; Julie M Vose; Wing C Chan; Javeed Iqbal
Journal:  Clin Cancer Res       Date:  2021-08-23       Impact factor: 13.801

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