ArticleHaematologica2014
The reliability of immunohistochemical analysis of the tumor microenvironment in follicular lymphoma: a validation study from the Lunenburg Lymphoma Biomarker Consortium.
Article in Haematologica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- The MCL35 gene expression proliferation assay predicts high-risk MCL patients in a Norwegian cohort of younger patients given intensive first line therapy.British journal of haematology · 2018Trial
- Prognostic relevance of CD163 and CD8 combined with EZH2 and gain of chromosome 18 in follicular lymphoma: a study by the Lunenburg Lymphoma Biomarker Consortium.Haematologica · 2017Trial
- High Ki-67 Expression Predicting a Risk Factor for the Progression of Disease within 24 Months and Microenvironment in Follicular Lymphoma.International journal of molecular sciences · 2024Article
- The spectrum of nodular lymphocyte predominant Hodgkin lymphoma: a report of the lymphoma workshop of the 20th meeting of the European Association for Haematopathology.Virchows Archiv : an international journal of pathology · 2023Review
- Long-term follow-up confirms the favourable prognostic impact of high numbers of tumour infiltrating CD3 T-cells in follicular lymphoma patients treated by rituximab-maintenance regimen.British journal of haematology · 2023Article
- Follicular Lymphoma Microenvironment Traits Associated with Event-Free Survival.International journal of molecular sciences · 2023Article
- High inter-follicular spatial co-localization of CD8+FOXP3+ with CD4+CD8+ cells predicts favorable outcome in follicular lymphoma.Hematological oncology · 2022Article
- Genomic and microenvironmental landscape of stage I follicular lymphoma, compared with stage III/IV.Blood advances · 2022Article
- Single nucleotide variants in immune-response genes and the tumor microenvironment composition predict progression of mantle cell lymphoma.BMC cancer · 2021Article
- Article
- Divergent immunohistochemical expression of CD21 and CD23 by follicular dendritic cells with increasing grade of follicular lymphoma.World journal of surgical oncology · 2019Article
- Automated macrophage counting in DLBCL tissue samples: a ROF filter based approach.Biological procedures online · 2019Article
- Comparison of evaluation techniques, including digital image analysis, for MYC protein expression by immunohistochemical stain in aggressive B-cell lymphomas.Human pathology · 2019Article
- Article
- A gene-expression profiling score for prediction of outcome in patients with follicular lymphoma: a retrospective training and validation analysis in three international cohorts.The Lancet. Oncology · 2018Article
- Microenvironment Cell Contribution to Lymphoma Immunity.Frontiers in oncology · 2018Review
- Flow cytometric sorting coupled with exon capture sequencing identifies somatic mutations in archival lymphoma tissues.Laboratory investigation; a journal of technical methods and pathology · 2017Article
- Regulatory myeloid cells: an underexplored continent in B-cell lymphomas.Cancer immunology, immunotherapy : CII · 2017Review
- Catching up with solid tumor oncology: what is the evidence for a prognostic role of programmed cell death-ligand 1/programmed cell death-1 expression in B-cell lymphomas?Haematologica · 2016Review
- The European Hematology Association Roadmap for European Hematology Research: a consensus document.Haematologica · 2016Article
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Abstract
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.
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