The effect of interferon-beta in multiple sclerosis is modest and many patients do not respond to treatment. To date, no single biomarker reliably correlates with responsiveness to interferon-beta in multiple sclerosis. In the present study, genome-wide expression profiling was performed in peripheral blood mononuclear cells from 47 multiple sclerosis patients treated with interferon-beta for a minimum of 2 years and classified as responders and non-responders based on clinical criteria. A validation cohort of 30 multiple sclerosis patients was included in the study to replicate gene-expression findings. Before treatment, interferon-beta responders and non-responders were characterized by differential expression of type I interferon-induced genes with overexpression of the type interferon-induced genes in non-responders. Upon treatment the expression of these genes remained unaltered in non-responders, but was strongly upregulated in responders. Functional experiments showed a selective increase in phosphorylated STAT1 levels and interferon receptor 1 expression in monocytes of non-responders at baseline. When dissecting this type I interferon signature further, interferon-beta non-responders were characterized by increased monocyte type I interferon secretion upon innate immune stimuli via toll-like receptor 4, by increased endogenous production of type I interferon, and by an elevated activation status of myeloid dendritic cells. These findings indicate that perturbations of the type I interferon signalling pathway in monocytes are related to lack of response to interferon-beta, and type I interferon-regulated genes may be used as response markers in interferon-beta treatment.
HB patients GENOMIC STUDY TRANSCRIPTOMIC STUDY METHYLATION STUDY CytoScan HD ®-array RNA-sequencing/ ddPCR HTA ®-array/ RT-qPCR 850K (EPIC)-array/ QUAlu Dysregulation of global RNA & BLCAP editing Overexpression of 14q32 DLK1-DIO3 genes 16 + VIM-gene signature (C1/C2/C2B) 2 epigenomic HB subtypes (Epi-CA & Epi-CB) CLINICAL PARAMETERS: prognostic marker identification Poor prognostic factors:-4q,-18, 17q11.2 AI (NF1) CHKA new therapeutic target Molecular risk stratification MRS1 MRS2 MRS3 Strong 14q32 Epi-CB Time Survival Highlights Hepatoblastoma (HB) involves global dysregulation of RNA editing, including in the tumor suppressor BLCAP. Overexpression of a 300 kb region within the 14q32 DLK1/DIO3 locus is a new hallmark of HB. We identified 2 epigenomic HB subtypes-Epi-CA and Epi-CB-with distinct degrees of DNA hypomethylation and CpG island hypermethylation. The molecular risk stratification of HB, based on the 14q32-signature and epigenomic subtypes, is associated with patient outcomes. The enzyme CHKA could be a novel therapeutic target for patients with HB.
Background:There are currently no biomarkers for early breast cancer patient populations at risk of bone metastasis. Identification of mediators of bone metastasis could be of clinical interest.Methods:A de novo unbiased screening approach based on selection of highly bone metastatic breast cancer cells in vivo was used to determine copy number aberrations (CNAs) associated with bone metastasis. The CNAs associated with bone metastasis were examined in independent primary breast cancer datasets with annotated clinical follow-up. The MAF gene encoded within the CNA associated with bone metastasis was subjected to gain and loss of function validation in breast cancer cells (MCF7, T47D, ZR-75, and 4T1), its downstream mechanism validated, and tested in clinical samples. A multivariable Cox cause-specific hazard model with competing events (death) was used to test the association between 16q23 or MAF and bone metastasis. All statistical tests were two-sided.Results:16q23 gain CNA encoding the transcription factor MAF mediates breast cancer bone metastasis through the control of PTHrP. 16q23 gain (hazard ratio (HR) for bone metastasis = 14.5, 95% confidence interval (CI) = 6.4 to 32.9, P < .001) as well as MAF overexpression (HR for bone metastasis = 2.5, 95% CI = 1.7 to 3.8, P < .001) in primary breast tumors were specifically associated with risk of metastasis to bone but not to other organs.Conclusions:These results suggest that MAF is a mediator of breast cancer bone metastasis. 16q23 gain or MAF protein overexpression in tumors may help to select patients at risk of bone relapse.
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