Integrative clinicopathological and molecular analyses of angioimmunoblastic T-cell lymphoma and other nodal lymphomas of follicular helper T-cell origin

In addition to angioimmunoblastic T-cell lymphoma (AITL), the 2016 revised WHO classification of haematological malignancies recognizes two provisional lymphoma entities of follicular helper T-cell (TFH) derivation, namely follicular peripheral T-cell lymphoma (F-PTCL) and nodal PTCL with a TFH phenotype. Here, we performed a comprehensive, integrative clinicopathological and molecular analysis of these three entities. We found that F-PTCL and other nodal PTCL with TFH phenotype share not only immunophenotypical features, but also similar clinical, genetic and molecular features with AITL. Our results support the view that these lymphomas belong to the spectrum of a common disease. AITL and PTCL, not otherwise specified (PTCL-NOS), account for the majority of nodal PTCLs. While PTCLNOS is by definition heterogeneous and an exclusion diagnosis, AITL is characterized by a constellation of clinical, morphological, and immunophenotypical features, and defined by its cellular derivation from TFH cells. The typical pathological features, i.e., clear cells, increased vascularization, follicular dendritic cell (FDC) proliferation, and the presence of eosinophils, inflammatory cells, and EBV-positive B-blasts, are variably developed. An overlap between AITL and PTCL-NOS was substantiated by the observation that a subset of cases diagnosed as PTCL-NOS, upon routine pathological evaluation, actually harbor imprints of the TFH signature and/or express TFH-associated markers. Furthermore, the rare “follicular” T-cell lymphoma (F-PTCL), initially classified as a PTCL-NOS variant, is characterized by a TFH immunophenotype and clinicopathological features overlapping with AITL. Recently, recurrent AITL-associated TET2, DNMT3A and RHOA mutations were also found in a subset of PTCL-NOS, and tended to correlate with TFH features. Based on these recent findings, the 2016 update of the WHO classification groups AITL and other nodal lymphomas of TFH origin under the same umbrella. However, a thorough, systematic and multiparametric comparison of these entities is lacking. Here, we performed a comprehensive integrative clinicopathological and molecular analysis comparing AITL and other nodal PTCLs of TFH origin. Twenty-one such cases, including five F-PTCL, were identified in the TENOMIC biobank of the LYSA, and compared to 94 AITL and 36 PTCL-NOS. All cases were reviewed by three hematopathologists according to the 2016 WHO classification criteria ( and Online Supplementary Information). The five F-PTCL by definition comprised FDCs associated to the follicles without extrafollicular FDC expansion, and were positive for all TFH markers tested (4 or 5) (Figure 1A-B). The 16 other nodal PTCL with TFH phenotype (referred to as “TFH-like PTCL”) (Figure 1A, 1C, 1D) lacked typical morphological AITL

[1]  Ryan D. Morin,et al.  Activating mutations in genes related to TCR signaling in angioimmunoblastic and other follicular helper T-cell-derived lymphomas. , 2016, Blood.

[2]  R. Advani,et al.  The World Health Organization Classification of Lymphoid Neoplasms , 2013 .

[3]  S. Pileri Follicular helper T-cell-related lymphomas. , 2015, Blood.

[4]  T. Molina,et al.  Angioimmunoblastic T-cell lymphoma is the most common T-cell lymphoma in two distinct French information data sets , 2015, Haematologica.

[5]  P. Gaulard,et al.  Efficacy of 5‐Azacytidine in a TET2 mutated angioimmunoblastic T cell lymphoma , 2015, British journal of haematology.

[6]  P. Gaulard,et al.  Immunohistochemistry as a valuable tool to assess CD30 expression in peripheral T-cell lymphomas: high correlation with mRNA levels. , 2014, Blood.

[7]  I. Lossos,et al.  Recurrent mutations in epigenetic regulators, RHOA and FYN kinase in peripheral T cell lymphomas , 2014, Nature Genetics.

[8]  W. Klapper,et al.  Peripheral T‐cell and NK‐cell lymphomas and their mimics; taking a step forward – report on the lymphoma workshop of the XVIth meeting of the European Association for Haematopathology and the Society for Hematopathology , 2014, Histopathology.

[9]  P. Gaulard,et al.  Recurrent TET2 mutations in peripheral T-cell lymphomas correlate with TFH-like features and adverse clinical parameters. , 2012, Blood.

[10]  W. Klapper,et al.  Peripheral T cell lymphomas with follicular T helper phenotype: a new basket or a distinct entity? Revising Karl Lennert’s personal archive , 2011, Histopathology.

[11]  Helga Thorvaldsdóttir,et al.  Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..

[12]  C. Copie-Bergman,et al.  Peripheral T-cell Lymphomas With a Follicular Growth Pattern are Derived From Follicular Helper T Cells (TFH) and may Show Overlapping Features With Angioimmunoblastic T-cell Lymphomas , 2009, The American journal of surgical pathology.

[13]  D. Weisenburger,et al.  International peripheral T-cell and natural killer/T-cell lymphoma study: pathology findings and clinical outcomes. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  D. Weisenburger,et al.  Cytogenetic abnormalities and clinical correlations in peripheral T‐cell lymphoma , 2008, British journal of haematology.

[15]  Christian Gisselbrecht,et al.  The gene expression profile of nodal peripheral T-cell lymphoma demonstrates a molecular link between angioimmunoblastic T-cell lymphoma (AITL) and follicular helper T (TFH) cells. , 2007, Blood.

[16]  M. Du,et al.  Distinguishing angioimmunoblastic T‐cell lymphoma from peripheral T‐cell lymphoma, unspecified, using morphology, immunophenotype and molecular genetics , 2007, Histopathology.

[17]  L. Staudt,et al.  A library of gene expression signatures to illuminate normal and pathological lymphoid biology , 2006, Immunological reviews.

[18]  M. Wigler,et al.  Circular binary segmentation for the analysis of array-based DNA copy number data. , 2004, Biostatistics.

[19]  C. Mackay,et al.  T Follicular Helper Cells Express a Distinctive Transcriptional Profile, Reflecting Their Role as Non-Th1/Th2 Effector Cells That Provide Help for B Cells1 , 2004, The Journal of Immunology.

[20]  Jill P. Mesirov,et al.  Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data , 2003, Machine Learning.

[21]  N. Harris,et al.  Peripheral T-Cell Lymphoma With Follicular Involvement and a CD4+/bcl-6+ Phenotype , 2001, The American journal of surgical pathology.