Citations

Abstract Activated B cell (ABC) type diffuse large B cell lymphoma (DLBCL), double hit lymphoma (DHL) and double expressor lymphoma (DEL) have poor outcomes to frontline R‐CHOP but impact of these molecular features on outcomes of relapsed/refractory (R/R) disease is not well‐characterized. We evaluated the association of diagnostic cell of origin (COO), double hit and double expressor status with overall survival after first relapse in DLBCL patients who were enrolled into the Molecular Epidemiology Resource (MER) cohort. COO was available from immunohistochemistry (IHC) using Hans criteria or gene expression profiling (GEP) (Nanostring) on the diagnostic FFPE biopsy. Of 373 pts with R/R DLBCL, 278 had COO by IHC: 152 were GCB, 107 were non‐GCB. One hundred and fourty had COO by GEP: 44 were ABC, 65 were GCB and 13 were unclassifiable. Nineteen out of 163 (12%) were DHL; 30 out of 135 (22%) had DEL. COO, either by IHC (2 years OS GCB: 45% [CI 95 : 38–54] vs. non‐GCB: 44% [CI 95 :36–55], p > 0.05) or GEP (2 years OS ABC: 42% [CI 95 : 29–59] vs. GCB: 40% [CI 95 : 30–54], p > 0.05), was not associated with difference in OS. DHL (2 years OS 16 [CI 95 :6–45] vs. 45% [CI 95 : 34–59], p < 0.01) and DEL (2 years OS 33% [CI 95 : 20–56], vs. 50% [CI 95 : 41–60], p < 0.05) had lower OS than non‐DHL and non‐DEL/non‐DHL counterparts, respectively. COO by IHC or GEP was not associated with OS in R/R DLBCL while DHL and DEL were adverse prognostic markers in DLBCL at first relapse.

ObjectiveThis study was undertaken to explore the gene expression profile of primary central nervous system vasculitis (PCNSV).MethodsBrain specimens of 4 patients with granulomatous vasculitis (GV), 5 with lymphocytic vasculitis (LV), 4 with amyloid β‐related angiitis (ABRA), and 4 normal controls were studied. RNA‐sequencing was performed using the Illumina Hiseq‐4,000 platform and the Illumina TruSeq Total‐RNA library. Student t test and false discovery rate tests were performed for each of the differentially expressed transcripts. Ingenuity Pathway Analysis was used for the pathway expression analysis. CIBERSORT was used to estimate the abundances of different immune cell subsets in the tissues based on gene expression data.ResultsTranscripts differentially expressed between PCNSV and normal brain indicated that endosomal, mitochondrial, and ribosome dysfunction, alterations in protein synthesis, and noncoding RNAs might be involved in PCNSV. Pathway analysis revealed the activation of dendritic cell maturation and antigen processing as well as neuroinflammation in PCNSV versus normal brain, whereas oxidative phosphorylation was inhibited. CIBERSORT estimation of immune cell subsets suggested that activated NK cells, M1 macrophages, memory B cells, and follicular helper T cells were likely to be more prevalent in PCNSV samples. Naïve CD4 T cells and monocytes were mainly estimated to be present in GV and ABRA. Plasma cell and γδ T‐cell signatures were mainly found in LV and normal brain. GV showed higher levels of genes associated with macrophage activities and T cells. ABRA showed higher levels of long noncoding RNAs and miR‐616. LV showed higher levels of genes encoding immunoglobulins.InterpretationRNA sequencing confirmed PCNSV heterogeneity. ANN NEUROL 2023;93:120–130