Literature DB >> 34115827

Integrated genomic analyses of cutaneous T-cell lymphomas reveal the molecular bases for disease heterogeneity.

Joonhee Park1,2, Jay Daniels1,2, Tim Wartewig3,4, Kimberly G Ringbloom1,2, Maria Estela Martinez-Escala1, Sara Choi1, Jane J Thomas1,2, Peter G Doukas1, Jingyi Yang1,2, Caroline Snowden1,2, Calvin Law1,2, Yujin Lee1,2, Katie Lee1,2, Yancong Zhang1,2, Carly Conran1, Kyle Tegtmeyer1,2, Samuel H Mo1,2, David R Pease1, Balaji Jothishankar5, Pui-Yan Kwok6, Farah R Abdulla7, Barbara Pro8, Abner Louissaint9, Titus J Boggon10,11, Jeffrey Sosman12, Joan Guitart1, Deepak Rao13, Jürgen Ruland3,4,14,15, Jaehyuk Choi1,2,12.   

Abstract

Cutaneous T-cell lymphomas (CTCLs) are a clinically heterogeneous collection of lymphomas of the skin-homing T cell. To identify molecular drivers of disease phenotypes, we assembled representative samples of CTCLs from patients with diverse disease subtypes and stages. Via DNA/RNA-sequencing, immunophenotyping, and ex vivo functional assays, we identified the landscape of putative driver genes, elucidated genetic relationships between CTCLs across disease stages, and inferred molecular subtypes in patients with stage-matched leukemic disease. Collectively, our analysis identified 86 putative driver genes, including 19 genes not previously implicated in this disease. Two mutations have never been described in any cancer. Functionally, multiple mutations augment T-cell receptor-dependent proliferation, highlighting the importance of this pathway in lymphomagenesis. To identify putative genetic causes of disease heterogeneity, we examined the distribution of driver genes across clinical cohorts. There are broad similarities across disease stages. Many driver genes are shared by mycosis fungoides (MF) and Sezary syndrome (SS). However, there are significantly more structural variants in leukemic disease, leading to highly recurrent deletions of putative tumor suppressors that are uncommon in early-stage skin-centered MF. For example, TP53 is deleted in 7% and 87% of MF and SS, respectively. In both human and mouse samples, PD1 mutations drive aggressive behavior. PD1 wild-type lymphomas show features of T-cell exhaustion. PD1 deletions are sufficient to reverse the exhaustion phenotype, promote a FOXM1-driven transcriptional signature, and predict significantly worse survival. Collectively, our findings clarify CTCL genetics and provide novel insights into pathways that drive diverse disease phenotypes.
© 2021 by The American Society of Hematology.

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Year:  2021        PMID: 34115827      PMCID: PMC8499046          DOI: 10.1182/blood.2020009655

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   25.476


  44 in total

1.  ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments.

Authors:  Alexander Lachmann; Huilei Xu; Jayanth Krishnan; Seth I Berger; Amin R Mazloom; Avi Ma'ayan
Journal:  Bioinformatics       Date:  2010-08-13       Impact factor: 6.937

2.  Sezary syndrome and mycosis fungoides arise from distinct T-cell subsets: a biologic rationale for their distinct clinical behaviors.

Authors:  James J Campbell; Rachael A Clark; Rei Watanabe; Thomas S Kupper
Journal:  Blood       Date:  2010-05-18       Impact factor: 22.113

3.  Recurrent MSC E116K mutations in ALK-negative anaplastic large cell lymphoma.

Authors:  Rebecca A Luchtel; Michael T Zimmermann; Guangzhen Hu; Surendra Dasari; Manli Jiang; Naoki Oishi; Hailey K Jacobs; Yu Zeng; Tanya Hundal; Karen L Rech; Rhett P Ketterling; Jeong-Heon Lee; Bruce W Eckloff; Huihuang Yan; Krutika S Gaonkar; Shulan Tian; Zhenqing Ye; Marshall E Kadin; Jagmohan Sidhu; Liuyan Jiang; Jesse Voss; Brian K Link; Sergei I Syrbu; Fabio Facchetti; N Nora Bennani; Susan L Slager; Tamas Ordog; Jean-Pierre Kocher; James R Cerhan; Stephen M Ansell; Andrew L Feldman
Journal:  Blood       Date:  2019-05-17       Impact factor: 22.113

4.  Genomic analysis of 220 CTCLs identifies a novel recurrent gain-of-function alteration in RLTPR (p.Q575E).

Authors:  Joonhee Park; Jingyi Yang; Alexander T Wenzel; Akshaya Ramachandran; Wung J Lee; Jay C Daniels; Juhyun Kim; Estela Martinez-Escala; Nduka Amankulor; Barbara Pro; Joan Guitart; Marc L Mendillo; Jeffrey N Savas; Titus J Boggon; Jaehyuk Choi
Journal:  Blood       Date:  2017-07-10       Impact factor: 22.113

5.  Genome-wide CRISPR Screens in Primary Human T Cells Reveal Key Regulators of Immune Function.

Authors:  Eric Shifrut; Julia Carnevale; Victoria Tobin; Theodore L Roth; Jonathan M Woo; Christina T Bui; P Jonathan Li; Morgan E Diolaiti; Alan Ashworth; Alexander Marson
Journal:  Cell       Date:  2018-11-15       Impact factor: 41.582

Review 6.  T Cell Dysfunction in Cancer.

Authors:  Daniela S Thommen; Ton N Schumacher
Journal:  Cancer Cell       Date:  2018-04-09       Impact factor: 31.743

7.  The mutational landscape of cutaneous T cell lymphoma and Sézary syndrome.

Authors:  Ana Carolina da Silva Almeida; Francesco Abate; Hossein Khiabanian; Estela Martinez-Escala; Joan Guitart; Cornelis P Tensen; Maarten H Vermeer; Raul Rabadan; Adolfo Ferrando; Teresa Palomero
Journal:  Nat Genet       Date:  2015-11-09       Impact factor: 38.330

8.  BACH2 regulates CD8(+) T cell differentiation by controlling access of AP-1 factors to enhancers.

Authors:  Rahul Roychoudhuri; David Clever; Peng Li; Yoshiyuki Wakabayashi; Kylie M Quinn; Christopher A Klebanoff; Yun Ji; Madhusudhanan Sukumar; Robert L Eil; Zhiya Yu; Rosanne Spolski; Douglas C Palmer; Jenny H Pan; Shashank J Patel; Derek C Macallan; Giulia Fabozzi; Han-Yu Shih; Yuka Kanno; Akihiko Muto; Jun Zhu; Luca Gattinoni; John J O'Shea; Klaus Okkenhaug; Kazuhiko Igarashi; Warren J Leonard; Nicholas P Restifo
Journal:  Nat Immunol       Date:  2016-05-09       Impact factor: 25.606

9.  GSVA: gene set variation analysis for microarray and RNA-seq data.

Authors:  Sonja Hänzelmann; Robert Castelo; Justin Guinney
Journal:  BMC Bioinformatics       Date:  2013-01-16       Impact factor: 3.169

10.  Cellular origins and genetic landscape of cutaneous gamma delta T cell lymphomas.

Authors:  Jay Daniels; Peter G Doukas; Maria E Martinez Escala; Kimberly G Ringbloom; David J H Shih; Jingyi Yang; Kyle Tegtmeyer; Joonhee Park; Jane J Thomas; Mehmet E Selli; Can Altunbulakli; Ragul Gowthaman; Samuel H Mo; Balaji Jothishankar; David R Pease; Barbara Pro; Farah R Abdulla; Christopher Shea; Nidhi Sahni; Alejandro A Gru; Brian G Pierce; Abner Louissaint; Joan Guitart; Jaehyuk Choi
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

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  14 in total

1.  BACH2 is a putative T-cell lymphoma tumor suppressor that may play a role in product-derived CAR T-cell lymphomas.

Authors:  Jay Daniels; Jaehyuk Choi
Journal:  Blood       Date:  2021-12-23       Impact factor: 22.113

2.  A High Programmed Cell Death Protein 1 Hormone Receptor Score on Skin Biopsy is Associated with Sézary Syndrome Diagnosis: A Study of 91 Patients with Erythroderma.

Authors:  Camille Luherne; Sarah Menguy; Thomas Ferte; Marie Beylot-Barry; Julien Seneschal; Brigitte Milpied; Jean-Philippe Vial; Audrey Gros; Samuel Amintas; Béatrice Vergier; Anne Pham-Ledard
Journal:  Acta Derm Venereol       Date:  2022-09-06       Impact factor: 3.875

3.  Primary cytotoxic T-cell lymphomas harbor recurrent targetable alterations in the JAK-STAT pathway.

Authors:  Katie Lee; Mark G Evans; Lei Yang; Spencer Ng; Caroline Snowden; Michael Khodadoust; Ryanne A Brown; Nicholas A Trum; Christiane Querfeld; Linda T Doan; Jinming Song; Hailing Zhang; Alejandro A Gru; Gary S Wood; David A Wada; Vignesh Shanmugam; Paul L Haun; Jon C Aster; Lyn M Duncan; Joan Guitart; David M Weinstock; Valentina Nardi; Jaehyuk Choi
Journal:  Blood       Date:  2021-12-09       Impact factor: 25.476

4.  Immune signatures of CD4 and CD68 predicts disease progression in cutaneous T cell lymphoma.

Authors:  Sanling Huang; Mengying Liao; Siliang Chen; Ping Zhang; Fangzhou Xu; Hongyu Zhang
Journal:  Am J Transl Res       Date:  2022-05-15       Impact factor: 3.940

5.  PD-1 improves accurate detection of Sezary cells by flow cytometry in peripheral blood in mycosis fungoides/Sezary syndrome.

Authors:  Natasha E Lewis; Qi Gao; Kseniya Petrova-Drus; Melissa Pulitzer; Allison Sigler; Jeeyeon Baik; Alison J Moskowitz; Steven M Horwitz; Ahmet Dogan; Mikhail Roshal
Journal:  Cytometry B Clin Cytom       Date:  2022-04-22       Impact factor: 3.248

Review 6.  Combined High-Throughput Approaches Reveal the Signals Driven by Skin and Blood Environments and Define the Tumor Heterogeneity in Sézary Syndrome.

Authors:  Cristina Cristofoletti; Antonella Bresin; Martina Fioretti; Giandomenico Russo; Maria Grazia Narducci
Journal:  Cancers (Basel)       Date:  2022-06-09       Impact factor: 6.575

7.  Genomic and Single-Cell Landscape Reveals Novel Drivers and Therapeutic Vulnerabilities of Transformed Cutaneous T-cell Lymphoma.

Authors:  Shiun Chang; Lucia Seminario-Vidal; Kenneth Y Tsai; Pei-Ling Chen; Xiaofei Song; Alvaro de Mingo Pulido; Leticia Tordesillas; Xingzhi Song; Rhianna A Reed; Andrea Harkins; Shannen Whiddon; Jonathan V Nguyen; Carlos Moran Segura; Chaomei Zhang; Sean Yoder; Zena Sayegh; Yun Zhao; Jane L Messina; Carly M Harro; Xiaohui Zhang; José R Conejo-Garcia; Anders Berglund; Lubomir Sokol; Jianhua Zhang; Paulo C Rodriguez; James J Mulé; Andrew P Futreal
Journal:  Cancer Discov       Date:  2022-05-02       Impact factor: 38.272

8.  Single-Cell RNA Sequencing Unveils the Clonal and Transcriptional Landscape of Cutaneous T-Cell Lymphomas.

Authors:  Alyxzandria M Gaydosik; Connor J Stonesifer; Alexandra E Khaleel; Larisa J Geskin; Patrizia Fuschiotti
Journal:  Clin Cancer Res       Date:  2022-06-13       Impact factor: 13.801

9.  Partial remission of advanced untreated Sézary syndrome after COVID-19.

Authors:  Caroline Snowden; Spencer Ng; Jaehyuk Choi
Journal:  JAAD Case Rep       Date:  2022-01-06

10.  Cutaneous T-cell lymphomas: 2021 update on diagnosis, risk-stratification, and management.

Authors:  Alexandra C Hristov; Trilokraj Tejasvi; Ryan A Wilcox
Journal:  Am J Hematol       Date:  2021-08-02       Impact factor: 13.265

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