Gene expression profiling uncovers molecular classifiers for the recognition of anaplastic large-cell lymphoma within peripheral T-cell neoplasms

R Piva, L Agnelli, E Pellegrino, K Todoerti… - Journal of clinical …, 2010 - ascopubs.org
R Piva, L Agnelli, E Pellegrino, K Todoerti, V Grosso, I Tamagno, A Fornari, B Martinoglio…
Journal of clinical oncology, 2010ascopubs.org
Purpose To unravel the regulatory network underlying nucleophosmin-anaplastic lymphoma
kinase (NPM-ALK)–mediated lymphomagenesis of anaplastic large-cell lymphoma (ALCL)
and to discover diagnostic genomic classifiers for the recognition of patients with ALK-
positive and ALK-negative ALCL among T-cell non-Hodgkin's lymphoma (T-NHL). Patients
and Methods The transcriptome of NPM-ALK–positive ALCL cell lines was characterized by
silencing the expression of ALK or STAT3, a major effector of ALK oncogenic activity. Gene …
Purpose
To unravel the regulatory network underlying nucleophosmin-anaplastic lymphoma kinase (NPM-ALK) –mediated lymphomagenesis of anaplastic large-cell lymphoma (ALCL) and to discover diagnostic genomic classifiers for the recognition of patients with ALK-positive and ALK-negative ALCL among T-cell non-Hodgkin's lymphoma (T-NHL).
Patients and Methods
The transcriptome of NPM-ALK–positive ALCL cell lines was characterized by silencing the expression of ALK or STAT3, a major effector of ALK oncogenic activity. Gene expression profiling (GEP) was performed in a series of systemic primary T-NHL (n = 70), including a set of ALK-positive and ALK-negative ALCL (n = 36). Genomic classifiers for ALK-positive and ALK-negative ALCL were generated by prediction analyses and validated by quantitative reverse-transcriptase polymerase chain reaction and/or immunohistochemistry.
Results
In ALCL cell lines, two thirds of ALK-regulated genes were concordantly dependent on STAT3 expression. GEP of systemic primary T-NHL significantly clustered ALK-positive ALCL samples in a separate subgroup, underscoring the relevance of in vitro ALK/STAT3 signatures. A set of genomic classifiers for ALK-positive ALCL and for ALCL were identified by prediction analyses. These gene clusters were instrumental for the distinction of ALK-negative ALCL from peripheral T-cell lymphomas not otherwise specified (PTCLs-NOS) and angioimmunoblastic lymphomas.
Conclusion
We proved that experimentally controlled GEP in ALCL cell lines represents a powerful tool to identify meaningful signaling networks for the recognition of systemic primary T-NHL. The identification of a molecular signature specific for ALCL suggests that these T-NHLs may represent a unique entity discernible from other PTCLs, and that a restricted number of genes can be instrumental for clinical stratification and, possibly, therapy of T-NHL.
ASCO Publications