Lack of reproducibility of histopathological features in MYC‐rearranged large B cell lymphoma using digital whole slide images: a study from the Lunenburg lymphoma biomarker consortium

Author:

Natkunam Yasodha1ORCID,de Jong Daphne2,Farinha Pedro3,Gaulard Philippe4,Klapper Wolfram5ORCID,Rosenwald Andreas6,Sander Birgitta7,Tooze Reuben8,Advani Ranjana9,Burton Catherine10,Gribben John G11,Kersten Marie‐José12,Kimby Eva13,Lenz Georg14,Molina Thierry15,Morschhauser Franck16,Scott David3,Sehn Laurie3,Stevens Wendy17,Clear Andrew11,Baia Maryse4,Habi Abdelmalek1,Elsensohn Mad‐Helenie18,Langlois‐Jacques Carole18,Maucort‐Boulch Delphine18,Calaminici Maria11

Affiliation:

1. Department of Pathology Stanford University School of Medicine Stanford CA USA

2. Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam the Netherlands

3. BC Cancer Centre for Lymphoid Cancer University of British Columbia Vancouver Canada

4. Department of Pathology Henri Mondor University Hospital, APHP, INSERM U955, Université Paris‐Est Créteil France

5. Institute of Pathology, University of Schleswig‐Holstein Kiel Kiel Germany

6. Comprehensive Cancer Center Mainfranken Institute of Pathology, University of Würzburg Würzburg Germany

7. Department of Laboratory Medicine, Division of Pathology Karolinska Institutet and Karolinska University Hospital Stockholm Sweden

8. Division of Haematology and Immunology Leeds Institute of Medical Research, University of Leeds Leeds UK

9. Department of Medicine, Division of Oncology Stanford University School of Medicine Stanford CA USA

10. Haematological Malignancy Diagnostic Service St James's University Hospital Leeds UK

11. Centre for Haemato‐Oncology Barts Cancer Institute, Queen Mary, University of London London UK

12. Department of Haematology, Cancer Center Amsterdam, Amsterdam UMC Location University of Amsterdam Amsterdam the Netherlands

13. Department of Medicine, Division of Hematology Karolinska Institute Stockholm Sweden

14. Medical Department A for Haematology, Oncology, and Pneumology University Hospital Münster Münster Germany

15. Department of Pathology Université Paris Cité, AP‐HP, Necker and Robert Debre Hospitals Paris France

16. Department of Hematology CHU Lille, Univ. Lille, ULR 7365 – GRITA – Groupe de Recherche sur les formes Injectables et les Technologies Associées Lille France

17. Department of Hematology, Radboud UMC Nijmegen Nijmegen the Netherlands

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

Abstract

AimsSubclassification of large B cell lymphoma (LBCL) is challenging due to the overlap in histopathological, immunophenotypical and genetic data. In particular, the criteria to separate diffuse large B cell lymphoma (DLBCL) and high‐grade B cell lymphoma (HGBL) are difficult to apply in practice. The Lunenburg Lymphoma Biomarker Consortium previously reported a cohort of over 5000 LBCL that included fluorescence in‐situ hybridisation (FISH) data. This cohort contained 209 cases with MYC rearrangement that were available for a validation study by a panel of eight expert haematopathologists of how various histopathological features are used.Methods and resultsDigital whole slide images of haematoxylin and eosin‐stained sections allowed the pathologists to visually score cases independently as well as participate in virtual joint review conferences. Standardised consensus guidelines were formulated for scoring histopathological features and included overall architecture/growth pattern, presence or absence of a starry‐sky pattern, cell size, nuclear pleomorphism, nucleolar prominence and a range of cytological characteristics. Despite the use of consensus guidelines, the results show a high degree of discordance among the eight expert pathologists. Approximately 50% of the cases lacked a majority score, and this discordance spanned all six histopathological features. Moreover, none of the histological variables aided in prediction of MYC single versus double/triple‐hit or immunoglobulin‐partner FISH‐based designations or clinical outcome measures.ConclusionsOur findings indicate that there are no specific conventional morphological parameters that help to subclassify MYC‐rearranged LBCL or select cases for FISH analysis, and that incorporation of FISH data is essential for accurate classification and prognostication.

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

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