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Salama, Farah M.

Mayo Clinic

Mayo Clinic

Citations 1

The Fusion Landscape of Anaplastic Large Cell Lymphoma: An L.L.M.P.P. Study
Hu, Guangzhen , Dasari, Surendra , Gimenez, J. , Salama, Farah M., Chan, Wing C. , Cook, James R. , Inghirami, Giorgio , Rosenwald, Andreas , Staudt, Louis M. , Wright, George W. , Amador, Catalina, Greiner, Timothy C. , Ondrejka, Sarah L. , Ott, German , Slack, Graham W. , Aljudi, Ahmed, Ansell, Stephen M. , Chapman‐Fredricks, Jennifer R., Chen, Weina , Gru, Alejandro A. , Jiang, Liuyan , Ko, Young Hyeh , Anamarija, Perry M., Satou, Akira , Wu, Xiaojun , Yoshino, Tadashi, Zeng, Yu , Gru, Alejandro , Wright, George , Feldman, Andrew L. , Rimsza, Lisa M. , Scott, David W. , Gimenez, Jimena B., Salama, Farah M., Shi, Min , Campo, Elı́as , Jaffe, Elaine S. , Morin, Ryan D , Raess, Philipp W. , Savage, Kerry J. , Delabie, Jan , Iqbal, Javeed , Hilton, Laura K. , Pittaluga, Stefania , Slager, Susan L. , Song, Joo Y. , Wang, Hao‐Wei , Barrionuevo, Carlos , Cerhan, James R. , Leval, Laurence de , Jaye, David L. , Kahl, Brad S. , Karube, Kennosuke , Mou, Eric , Maurer, Matthew J. , Medeiros, L. Jeffrey , Miranda, Roberto N. , Oishi, Naoki , Wang, Xueju , Wilcox, Ryan A.

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 2974-2974

10.1182/blood-2024-202410 Get It

Background: Anaplastic large cell lymphomas (ALCLs) represent a heterogeneous group of T-cell lymphomas that currently are classified by the presence or absence of ALK tyrosine kinase (TK) fusion genes (ALK+ or ALK−) and clinical presentation (systemic, cutaneous, or breast implant-associated). Two overarching molecular types of ALCL recently were discovered, defined by the presence (Type I) or absence (Type II) of a gene expression signature highly enriched for JAK-STAT3 activation. Fusions involving non-ALK TK genes occur in some ALK− cases, but the fusion landscape of ALCL remains incompletely characterized. Methods: Expert consensus pathology review was conducted in the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). RNAseq was performed and fusions were identified using FusionCatcher. Here, we focused on recurrent in-frame coding fusions. Previously unreported fusions were validated by RT-PCR. Type I/II was assigned using a previously validated gene expression-based model. Genes with adjusted (adj) P<0.05 were considered differentially expressed. Overall survival (OS) was assessed for systemic ALCL, when available. Results: We evaluated 379 ALCLs (229M/150F; mean age, 56 y). Of 199 candidate fusions (excluding reciprocal events), 28 were recurrent and passed quality metrics. At least 1 of these 28 fusions was present in 150 cases (40%). ALK fusions were present in 106 ALK+ ALCLs (all Type I; P<0.0001). Of these, NPM1::ALK was seen in 68/106 (64%). Alternate partners (X::ALK) included ATIC (N=24) and CTLC, COL1A2, MSN, MYH9, RNF213, SATB1, TFH, TPM3, and TRAF1 (1-3 cases each). X::ALK was associated with older age (mean, 52 y) than NPM1::ALK (32 y; P<0.0001) and showed relative overexpression of 49 genes, including multiple activators of small GTPases such as CGNL1 (FC, 5.6; Padj=2.4×10-6), SRGAP1, ALS2, DOCK1, and NCKAP1. ALK expression was similar in cases with NPM1::ALK and X::ALK and there was no significant difference in OS. Non-ALK TK fusions were seen in 17/273 ALK− cases (6%), including TYK2 (N=9); JAK2 (N=6); and ROS1 (N=2). All were Type I ALCLs (P<0.0001). ALK− cases with non-ALK TK fusions overexpressed 38 genes compared to ALK− cases without TK fusions, including cytokines involved in the IL17 signaling pathway such as CXCL6 (FC, 12.5; Padj=4.2×10-3), CXCL1, and CSF3. We then assessed the relationship between ALK− cases with non-ALK TK fusions and ALK+ cases by separately comparing each subset to ALK− cases without TK fusions. FC values for ALK− cases with non-ALK TK fusions were significantly correlated with FC values for ALK+ ALCLs over the set of expressed genes (R=0.54; P<0.0001). At a median follow-up of 32 months, 0/4 systemic ALCL patients with non-ALK TK fusions had died, while 30% of those with ALK− ALCL without TK fusions had died, but this was not statistically significant (P=0.26). The other 13 ALK− cases with non-ALK TK fusions were either localized ALCLs or did not have outcome data available. Of 20 TP63 fusions, 17 (85%) were TBL1XR1::TP63 and 3 were X::TP63. As previously reported, TP63 fusions were associated with poor OS (median OS, 10 months; not reached for other ALK− ALCLs; P=0.007). Four ALCLs had a novel NCL::UBTF fusion involving genes encoding the nucleolar proteins nucleolin and nucleolar (upstream binding) transcription factor-1. Four cases each had PARG::BMS1 and TNK1::GPS2 (the latter seen only in Type I ALCLs). Conclusions: This large consortium-based analysis of coding fusions further elucidates the molecular distinction between Type I and Type II ALCLs. Both ALK and non-ALK TK fusions were seen exclusively in Type I ALCLs, which we have shown previously are enriched for JAK-STAT3 pathway genes and correlate strongly with pSTAT3Y705 positivity by immunohistochemistry. These fusions were not identified in Type II ALCLs, which previous data suggest are associated with epigenetic alterations. ALK+ ALCLs with NPM1::ALK and X::ALK showed differences in gene expression, suggesting biological differences. Furthermore, ALCLs with non-ALK TK fusions shared gene expression features with ALK+ ALCL. Clinical fusion detection could enhance molecular classification of Type I and Type II ALCLs and may guide precision therapy.