Genomic and microenvironmental landscape of stage I follicular lymphoma, compared with stage III/IV

Author:

Los-de Vries G. Tjitske1ORCID,Stevens Wendy B. C.2ORCID,van Dijk Erik1ORCID,Langois-Jacques Carole34,Clear Andrew J.5ORCID,Stathi Phylicia1ORCID,Roemer Margaretha G. M.1ORCID,Mendeville Matias1ORCID,Hijmering Nathalie J.1,Sander Birgitta6,Rosenwald Andreas7,Calaminici Maria5,Hoster Eva89ORCID,Hiddemann Wolfgang8,Gaulard Philippe10,Salles Gilles11ORCID,Horn Heike12,Klapper Wolfram13ORCID,Xerri Luc14,Burton Catherine15,Tooze Reuben M.16ORCID,Smith Alexandra G.17,Buske Christian18,Scott David W.19ORCID,Natkunam Yasodha20,Advani Ranjana21,Sehn Laurie H.19,Raemaekers John2,Gribben John5ORCID,Kimby Eva22,Kersten Marie José23,Maucort-Boulch Delphine34ORCID,Ylstra Bauke1ORCID,de Jong Daphne1ORCID

Affiliation:

1. 1Department of Pathology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands;

2. 2Department of Hematology, Radboudumc Nijmegen, Nijmegen, The Netherlands;

3. 3Université Lyon 1, Villeurbanne, France, Centre National de la Recherche Scientifique (CNRS), Unité Mixte de recherche (UMR) 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France;

4. 4Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, Lyon, France;

5. 5Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary, University of London, London, United Kingdom;

6. 6Department of Laboratory Medicine, Division of Pathology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden;

7. 7Institute of Pathology, University of Würzburg, Würzburg, and Comprehensive Cancer Center Mainfranken, Germany;

8. 8Department of Medicine III, University Hospital Grosshadern, Munich, Germany;

9. 9Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU University, Munich, Germany;

10. 10Department of Pathology, Henri Mondor University Hospital, Assistance Pyblique- Hospitaux de Paris (APHP), INSERM U955, Université Paris-Est, Créteil, France;

11. 11Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY;

12. 12Institute for Clinical Pathology, Robert-Bosch-Krankenhaus, Dr. Margarete Fischer-Bosch-Institut für Klinische Pharmakologie, Stuttgart, Germany;

13. 13Institute of Pathology, University of Schleswig-Holstein, Kiel, Germany;

14. 14Département de Biopathologie, Institut Paoli-Calmettes, Marseille, France;

15. 15Haematological Malignancy Diagnostic Service, St. James University Hospital, Leeds, United Kingdom;

16. 16Division of Haematology & Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom;

17. 17Epidemiology & Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom;

18. 18Institute of Experimental Cancer Research, Comprehensive Cancer Center (CCC) Ulm, Universitätsklinikum Ulm, Ulm, Germany;

19. 19BC Cancer Centre for Lymphoid Cancer and The University of British Columbia, Vancouver, BC, Canada;

20. 20Department of Pathology, and

21. 21Department of Hematology, Stanford University School of Medicine, Stanford Cancer Institute, Stanford, CA;

22. 22Department of Medicine, Division of Hematology, Karolinska Institute, Stockholm, Sweden; and

23. 23Department of Hematology, Amsterdam University Medical Center (UMC), University of Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands

Abstract

Abstract Although the genomic and immune microenvironmental landscape of follicular lymphoma (FL) has been extensively investigated, little is known about the potential biological differences between stage I and stage III/IV disease. Using next-generation sequencing and immunohistochemistry, 82 FL nodal stage I cases were analyzed and compared with 139 FL stage III/IV nodal cases. Many similarities in mutations, chromosomal copy number aberrations, and microenvironmental cell populations were detected. However, there were also significant differences in microenvironmental and genomic features. CD8+ T cells (P = .02) and STAT6 mutations (false discovery rate [FDR] <0.001) were more frequent in stage I FL. In contrast, programmed cell death protein 1–positive T cells, CD68+/CD163+ macrophages (P < .001), BCL2 translocation (BCL2trl+) (P < .0001), and KMT2D (FDR = 0.003) and CREBBP (FDR = 0.04) mutations were found more frequently in stage III/IV FL. Using clustering, we identified 3 clusters within stage I, and 2 clusters within stage III/IV. The BLC2trl+ stage I cluster was comparable to the BCL2trl+ cluster in stage III/IV. The two BCL2trl– stage I clusters were unique for stage I. One was enriched for CREBBP (95%) and STAT6 (64%) mutations, without BLC6 translocation (BCL6trl), whereas the BCL2trl– stage III/IV cluster contained BCL6trl (64%) with fewer CREBBP (45%) and STAT6 (9%) mutations. The other BCL2trl– stage I cluster was relatively heterogeneous with more copy number aberrations and linker histone mutations. This exploratory study shows that stage I FL is genetically heterogeneous with different underlying oncogenic pathways. Stage I FL BCL2trl– is likely STAT6 driven, whereas BCL2trl– stage III/IV appears to be more BCL6trl driven.

Publisher

American Society of Hematology

Subject

Hematology

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