The reliability of immunohistochemical analysis of the tumor microenvironment in follicular lymphoma: a validation study from the Lunenburg Lymphoma Biomarker Consortium
Birgitta Sander,
Daphne de Jong,
Andreas Rosenwald,
Wanling Xie,
Olga Balagué,
Maria Calaminici,
Joaquim Carreras,
Philippe Gaulard,
John Gribben,
Anton Hagenbeek,
Marie José Kersten,
Thierry Jo Molina,
Abigail Lee,
Santiago Montes-Moreno,
German Ott,
John Raemaekers,
Gilles Salles,
Laurie Sehn,
Christoph Thorns,
Björn E. Wahlin,
Randy D. Gascoyne,
Edie Weller
Affiliations
Birgitta Sander
Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
Daphne de Jong
Department of Pathology, Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
Andreas Rosenwald
Institute of Pathology, University of Würzburg, Germany
Wanling Xie
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
Olga Balagué
Department of Pathology, Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
Maria Calaminici
Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary, University of London, UK
Joaquim Carreras
Hematopathology Section, Department of Pathology, Hospital Clinic, IDIBAPS, University of Barcelona, Spain
Philippe Gaulard
Department of Pathology and Inserm U955, Hôpital Henri Mondor, University Paris-Est Créteil, Franc
John Gribben
Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary, University of London, UK
Anton Hagenbeek
Academic Medical Center, Department of Hematology, Amsterdam, The Netherlands
Marie José Kersten
Academic Medical Center, Department of Hematology, Amsterdam, The Netherlands
Thierry Jo Molina
Université Paris-Descartes and AP-HP, Hôtel-Dieu, Paris, France
Abigail Lee
Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary, University of London, UK
Santiago Montes-Moreno
Department of Pathology, Hospital Universitario Marqués de Valdecilla/IFIMAV, Santander, Spain
German Ott
Department of Clinical Pathology, RobertBosch-Krankenhaus, and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
John Raemaekers
Department of Hematology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Gilles Salles
Hospices Civils de Lyon and Université Claude Bernard Lyon-1, UMR CNRS 5239, Lyon, France
Laurie Sehn
Department of Pathology and Medical Oncology, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
Christoph Thorns
Department of Pathology, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Germany
Björn E. Wahlin
Department of Medicine, Division of Hematology, Karolinska Institutet, Stockholm, Sweden
Randy D. Gascoyne
Department of Pathology and Medical Oncology, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
Edie Weller
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
The cellular microenvironment in follicular lymphoma is of biological and clinical importance. Studies on the clinical significance of non-malignant cell populations have generated conflicting results, which may partly be influenced by poor reproducibility in immunohistochemical marker quantification. In this study, the reproducibility of manual scoring and automated microscopy based on a tissue microarray of 25 follicular lymphomas as compared to flow cytometry is evaluated. The agreement between manual scoring and flow cytometry was moderate for CD3, low for CD4, and moderate to high for CD8, with some laboratories scoring closer to the flow cytometry results. Agreement in manual quantification across the 7 laboratories was low to moderate for CD3, CD4, CD8 and FOXP3 frequencies, moderate for CD21, low for MIB1 and CD68, and high for CD10. Manual scoring of the architectural distribution resulted in moderate agreement for CD3, CD4 and CD8, and low agreement for FOXP3 and CD68. Comparing manual scoring to automated microscopy demonstrated that manual scoring increased the variability in the low and high frequency interval with some laboratories showing a better agreement with automated scores. Manual scoring reliably identified rare architectural patterns of T-cell infiltrates. Automated microscopy analyses for T-cell markers by two different instruments were highly reproducible and provided acceptable agreement with flow cytometry. These validation results provide explanations for the heterogeneous findings on the prognostic value of the microenvironment in follicular lymphoma. We recommend a more objective measurement, such as computer-assisted scoring, in future studies of the prognostic impact of microenvironment in follicular lymphoma patients.