Molecular Subtypes and Genomic Profile of Primary Central Nervous System Lymphoma

Bödör, Csaba [Bödör, Csaba (Molekuláris Onkoh...), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Alpár, Donát [Alpár, Donát (Molekuláris patho...), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Marosvári, Dóra [Marosvári, Dóra (Onkológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Galik, Bence [Gálik, Bence (bioinformatika), author] Szentágothai Research Centre (UP); Rajnai, Hajnalka [Rajnai, Hajnalka (Patológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Bátai, Bence [Bátai, Bence (Onkohematológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Nagy, Ákos [Nagy, Ákos (hematológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Kajtár, Béla [Kajtár, Béla (Patológia), author] Department of Pathology (UP / UPMS); Burján, Adrienn [Burján, Adrienn (Patológia), author] Department of Pathology (UP / UPMS); Deák, Beáta; Schneider, Tamás [Schneider, Tamás (hematológia, onko...), author] National Institute of Oncology; Alizadeh, Hussain [Alizadeh, Hussain (Belgyógyászat-Hem...), author] 1st Department of Internal Medicine (UP / UPMS); Matolcsy, András [Matolcsy, András (Pathológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); MTA-SE Lendület Molekuláris Onkohematológia Kut... (SU / FM / I / IDPCR); Brandner, Sebastian; Storhoff, James; Chen, Ning; Liu, Mingdong; Ghali, Nadeem; Csala, Irén [Csala, Irén (pszichiátria), author] Pszichiátriai és Pszichoterápiás Klinika (SU / FM / C); Bagó, Attila G [Bagó, Attila György (Idegsebészet), author] Országos Klinikai Idegtudományi Intézet; Gyenesei, Attila [Gyenesei, Attila (Informatika, Bioi...), author] Szentágothai Research Centre (UP); Bioinformatics research group (UP / RG); Reiniger, Lilla ✉ [Reiniger, Lilla (Neuropatológia), author] I. Department of Pathology and experimental Can... (SU / FM / I); II. Department of Pathology (SU / FM / I); MTA-SE-NAP B Brain Metastasis Research Group (SU / FM / I / IIDP)

English Article (Journal Article) Scientific
  • SJR Scopus - Medicine (miscellaneous): Q1
Identifiers
Fundings:
  • (3.6.3-VEKOP-16-2017-00009) Funder: EFOP
  • (EFOP-3.6.3-VEKOP-16-2017-00009)
Subjects:
  • Genomics
Primary central nervous system lymphomas (PCNSL) are aggressive non-Hodgkin lymphomas affecting the central nervous system (CNS). Although immunophenotyping studies suggested an uniform activated B-cell (ABC) origin, more recently a spectrum of ABC and germinal center B-cell (GC) cases has been proposed, with the molecular subtypes of PCNSL still being a matter of debate. With the emergence of novel therapies demonstrating different efficacy between the ABC and GC patient groups, precise assignment of molecular subtype is becoming indispensable. To determine the molecular subtype of 77 PCNSL and 17 secondary CNS lymphoma patients, we used the NanoString Lymphoma Subtyping Test (LST), a gene expression-based assay representing a more accurate technique of subtyping compared with standard immunohistochemical (IHC) algorithms. Mutational landscapes of 14 target genes were determined using ultra-deep next-generation sequencing. Using the LST-assay, a significantly lower proportion (80% vs 95%) of PCNSL cases displayed ABC phenotype compared with the IHC-based characterization. The most frequently mutated genes included MYD88, PIM1, and KMT2D. In summary, we successfully applied the LST-assay for molecular classification of PCNSL, reporting higher proportion of cases with GC phenotype compared with IHC analyses, leading to a more precise patient stratification potentially applicable in the diagnostic algorithm of PCNSL.
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2025-04-16 13:58