Identification of a 3-gene model as a powerful diagnostic tool for the recognition of ALK-negative anaplastic large-cell lymphoma

Author:

Agnelli Luca1,Mereu Elisabetta2,Pellegrino Elisa2,Limongi Tania2,Kwee Ivo34,Bergaggio Elisa2,Ponzoni Maurilio5,Zamò Alberto6,Iqbal Javeed7,Piccaluga Pier Paolo8,Neri Antonino1,Chan Wing C.7,Pileri Stefano8,Bertoni Francesco39,Inghirami Giorgio210,Piva Roberto210

Affiliation:

1. Department of Clinical Sciences and Community Health, University of Milano; Hematology 1, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy;

2. Department of Molecular Biotechnology and Health Sciences; Center for Experimental Research and Medical Studies, University of Torino, Torino, Italy;

3. Lymphoma and Genomics Research Program, Institute of Oncology Research, Bellinzona, Switzerland;

4. Dalle Molle Institute for Artificial Intelligence, Manno, Switzerland;

5. Pathology and Lymphoid Malignancies Units, San Raffaele Scientific Institute, Milan, Italy;

6. Department of Pathology, University of Verona, Verona, Italy;

7. Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE;

8. Institute of Hematology and Medical Oncology, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy;

9. Lymphoma Unit, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; and

10. Department of Pathology and New York University Cancer Center, New York University School of Medicine, New York, NY

Abstract

Abstract Anaplastic large-cell lymphomas (ALCLs) are a group of clinically and biologically heterogeneous diseases including the ALK+ and ALK− systemic forms. Whereas ALK+ ALCLs are molecularly characterized and can be readily diagnosed, specific immunophenotypic or genetic features to define ALK− ALCL are missing, and their distinction from other T-cell non-Hodgkin lymphomas (T-NHLs) remains controversial. In the present study, we undertook a transcriptional profiling meta-analysis of 309 cases, including ALCL and other primary T-NHL samples. Pathway discovery and prediction analyses defined a minimum set of genes capable of recognizing ALK− ALCL. Application of quantitative RT-PCR in independent datasets from cryopreserved and formalin-fixed paraffin-embedded samples validated a 3-gene model (TNFRSF8, BATF3, and TMOD1) able to successfully separate ALK− ALCL from peripheral T-cell lymphoma not otherwise specified, with overall accuracy near 97%. In conclusion, our data justify the possibility of translating quantitative RT-PCR protocols to routine clinical settings as a new approach to objectively dissect T-NHL and to select more appropriate therapeutic protocols.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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