Analysis of mutation profiles in extranodal NK/T-cell lymphoma: clinical and prognostic correlations

Yu Cheng Chang, Hui Jen Tsai, To Yu Huang, Nai Wen Su, Ying Wen Su, Yi Fang Chang, Caleb Gon Shen Chen, Johnson Lin, Ming Chih Chang, Shu Jen Chen, Hua Chien Chen, Ken Hong Lim, Kung Chao Chang, Sung Hsin Kuo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The molecular pathogenesis of extranodal NK/T-cell lymphoma (NKTCL) remains obscured despite the next-generation sequencing (NGS) studies explored on ever larger cohorts in the last decade. We addressed the highly variable mutation frequencies reported among previous studies with comprehensive amplicon coverage and enhanced sequencing depth to achieve higher genomic resolution for novel genetic discovery and comparative mutational profiling of the oncogenesis of NKTCL. Targeted exome sequencing was conducted to interrogate 415 cancer-related genes in a cohort of 36 patients with NKTCL, and a total of 548 single nucleotide variants (SNVs) and 600 Copy number variances (CNVs) were identified. Recurrent amplification of the MCL1 (67%) and PIM1 (56%) genes was detected in a dominant majority of patients in our cohort. Functional mapping of genetic aberrations revealed that an enrichment of mutations in the JAK-STAT signaling pathway, including the cytokine receptor LIFR (copy number loss) upstream of JAK3, STAT3 (activating SNVs), and downstream effectors of MYC, PIM1 and MCL1 (copy number gains). RNA in situ hybridization showed the significant consistence of MCL1 RNA level and copy number of MCL1 gene. We further correlated molecular and clinical parameters with overall survival (OS) of these patients. When correlations were analyzed by univariate followed by multivariate modelling, only copy number loss of LIFR gene and stage (III-IV) were independent prognostic factors of reduced OS. Our findings identified that novel loss of LIFR gene significantly correlated with the adverse clinical outcome of NKTCL patients and provided therapeutic opportunities for this disease through manipulating LIFR.

Original languageEnglish
Pages (from-to)2917-2930
Number of pages14
JournalAnnals of Hematology
Volume103
Issue number8
DOIs
Publication statusPublished - 2024 Aug

All Science Journal Classification (ASJC) codes

  • Hematology

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