Follicular lymphoma comprises germinal center-like and memory-like molecular subtypes with prognostic significance.

Publié dans: Blood 2024 Dec; 144(24): 2503-2516

Auteurs: Laurent C, Trisal P, Tesson B, Seth S, Beyou A, Roulland S, Lesne B, Van Acker N, Cerapio JP, Chartier L, Guille A, Stokes ME, Huang CC, Huet S, Gandhi AK, Morschhauser F, Xerri L

Résumé

A robust prognostic and biological classification for newly diagnosed follicular lymphoma (FL) using molecular profiling remains challenging. FL tumors from patients treated in the RELEVANCE trial with rituximab-chemotherapy (R-chemo) or rituximab-lenalidomide (R2) were analyzed using RNA sequencing, DNA sequencing, immunohistochemistry (IHC), and/or fluorescence in situ hybridization. Unsupervised gene clustering identified 2 gene expression signatures (GSs) enriched in normal memory (MEM) B cells and germinal center (GC) B-cell signals, respectively. These 2 GSs were combined into a 20-gene predictor (FL20) to classify patients into MEM-like (n = 160) or GC-like (n = 164) subtypes, which also displayed different mutational profiles. In the R-chemo arm, patients with MEM-like FL had significantly shorter progression-free survival (PFS) than patients with GC-like FL (hazard ratio [HR], 2.13; P = .0023). In the R2 arm, both subtypes had comparable PFS, demonstrating that R2 has a benefit over R-chemo for patients with MEM-like FL (HR, 0.54; P = .011). The prognostic value of FL20 was validated in an independent FL cohort with R-chemo treatment (GSE119214 [n = 137]). An IHC algorithm (FLcm) that used FOXP1, LMO2, CD22, and MUM1 antibodies was developed with significant prognostic correlation with FL20. These data indicate that FL tumors can be classified into MEM-like and GC-like subtypes that are biologically distinct and clinically different in their risk profile. The FLcm assay can be used in routine clinical practice to identify patients with MEM-like FL who might benefit from therapies other than R-chemo, such as the R2 combination. This trial was registered at www.clinicaltrials.gov as #NCT01476787 and #NCT01650701.

Lien vers Pubmed [PMID] – 39374535

Lien vers HAL – inserm-04829619

Lien vers le DOI – 10.1182/blood.2024024496