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Researchers Make Major Headway in Mapping Genetic Mutations in EATL

Can researchers turn progress on mapping genetic mutations into new treatments for EATL?


Researchers make progress on mapping genetic mutations in EATL? Photo: CC--Ludwig Poggemann

Celiac.com 06/15/2017 - Enteropathy-associated T cell lymphoma (EATL) subtypes are characterized by loss of function of SETD2. Although EATL is rare condition, it is deadly. It is also the most common neoplastic complication of celiac disease.

A team of researchers recently conducted whole-exome sequencing of 69 EATL tumors, which helped them to define the genetic landscape of EATL. They found that SETD2 was silenced in 32% of EATL patients, making it the most frequently silenced gene in EATL.

The research team included AB Moffitt, SL Ondrejka, M McKinney, RE Rempel, JR Goodlad, CH Teh, S Leppa, S Mannisto, PE Kovanen, E Tse, RKH Au-Yeung, YL Kwong, G Srivastava, J Iqbal, J Yu, K Naresh, D Villa, RD Gascoyne, J Said, MB Czader, A Chadburn, KL Richards, D Rajagopalan, NS Davis, EC Smith, BC Palus, TJ Tzeng, JA Healy, PL Lugar, J Datta, C Love, S Levy, DB Dunson, Y Zhuang, ED Hsi, and SS Dave.

The team also noted that the JAK-STAT pathway was the most frequently mutated pathway, with frequent mutations in STAT5B as well as JAK1, JAK3, STAT3, and SOCS1, and that the condition causes highly overlapping genetic alterations among the mutations in KRAS, TP53, and TERT Type I EATL and type II EATL (monomorphic epitheliotropic intestinal T cell lymphoma), which indicates shared mechanisms underlying their causes.

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To model the effects of SETD2 loss in vivo, the team developed a T cell-specific knockout mouse. These mice manifested an expansion of γδ T cells, indicating novel roles for SETD2 in T cell development and lymphomagenesis.

The team's data provides the most comprehensive genetic portrait to date of this rare, but deadly disease, and will likely play a key role in future classifications of EATL.

Source:

 

The researchers are variously affiliated with the Duke Center for Genomics and Computational Biology, Duke University, Durham, NC, the Duke Cancer Institute, Duke University School of Medicine, Durham, NC, the Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, the Haematological Malignancy Diagnostic Service, St. James's University Hospital, Leeds LS9 7TF, England, UK, the Haematology Department, Western General Hospital, Edinburgh, Scotland, UK, the Department of Oncology and Research Program Unit, Faculty of Medicine, Helsinki University Hospital Cancer Center and University of Helsinki in Helsinki, Finland, HUSLAB and Medicum, Helsinki University Hospital Cancer Center and University of Helsinki, Helsinki, Finland, the University of Hong Kong, Queen Mary Hospital, Hong Kong, China, the University of Nebraska Medical Center, Omaha, NE, Imperial College London, London, England, UK, the British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, Canada, the University of California, Los Angeles, Los Angeles, CA, Indiana University, Indianapolis, IN, the Presbyterian Hospital, Pathology and Cell Biology, Cornell University, New York, NY, the University of North Carolina at Chapel Hill, Chapel Hill, NC, the Department of Medicine, Duke University School of Medicine, Durham, NC, the Department of Statistical Science, Duke University, Durham, NC, the Hudson Alpha Institute for Biotechnology, Huntsville, AL 35806, and the Department of Immunology, Duke University School of Medicine, Durham, NC.

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