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

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. (Blood. 2012;120(6):1274-1281)

Anaplastic large-cell lymphomas (ALCLs) are a group of clinically andbiologically heterogeneous diseases including the ALK(+) and ALK(-) systemicforms. Whereas ALK(+) ALCLs are molecularly characterized and can be readilydiagnosed, specific immunophenotypic or genetic features to define ALK(-) ALCLare missing, and their distinction from other T-cell non-Hodgkin lymphomas(T-NHLs) remains controversial. In the present study, we undertook atranscriptional profiling meta-analysis of 309 cases, including ALCL and otherprimary T-NHL samples. Pathway discovery and prediction analyses defined aminimum set of genes capable of recognizing ALK(-) ALCL. Application ofquantitative RT-PCR in independent datasets from cryopreserved and formalin-fixedparaffin-embedded samples validated a 3-gene model (TNFRSF8, BATF3, and TMOD1)able to successfully separate ALK(-) ALCL from peripheral T-cell lymphoma nototherwise specified, with overall accuracy near 97%. In conclusion, our datajustify the possibility of translating quantitative RT-PCR protocols to routineclinical settings as a new approach to objectively dissect T-NHL and to selectmore appropriate therapeutic protocols