Mechanisms of constitutive NF-kappaB signaling in multiple myeloma are unknown. An inhibitor of IkappaB kinase beta (IKKbeta) targeting the classical NF-kappaB pathway was lethal to many myeloma cell lines. Several cell lines had elevated expression of NIK due to genomic alterations or protein stabilization, while others had inactivating mutations of TRAF3; both kinds of abnormality triggered the classical and alternative NF-kappaB pathways. A majority of primary myeloma patient samples and cell lines had elevated NF-kappaB target gene expression, often associated with genetic or epigenetic alteration of NIK, TRAF3, CYLD, BIRC2/BIRC3, CD40, NFKB1, or NFKB2. These data demonstrate that addiction to the NF-kappaB pathway is frequent in myeloma and suggest that IKKbeta inhibitors hold promise for the treatment of this disease.

To molecularly define high-risk disease, we performed microarray analysis on tumor cells from 532 newly diagnosed patients with multiple myeloma (MM) treated on 2 separate protocols. Using log-rank tests of expression quartiles, 70 genes, 30% mapping to chromosome 1 (P < .001), were linked to early disease-related death. Importantly, most up-regulated genes mapped to chromosome 1q, and downregulated genes mapped to chromosome 1p. The ratio of mean expression levels of up-regulated to down-regulated genes defined a high-risk score present in 13% of patients with shorter durations of complete remission, event-free survival, and overall survival (training set: hazard ratio [HR], 5.16; P < .001; test cohort: HR, 4.75; P < .001). The high-risk score also was an independent predictor of outcome endpoints in multivariate analysis (P < .001) that included the International Staging System and high-risk translocations. In a comparison of paired baseline and relapse samples, the high-risk score frequency rose to 76% at relapse and predicted short postrelapse survival (P < .05). Multivariate discriminant analysis revealed that a 17-gene subset could predict outcome as well as the 70-gene model. Our data suggest that altered transcriptional regulation of genes mapping to chromosome 1 may contribute to disease progression, and that expression profiling can be used to identify high-risk disease and guide therapeutic interventions. (Blood.

Previous detections of individual astrophysical sources of neutrinos are limited to the Sun and the supernova 1987A, whereas the origins of the diffuse flux of high-energy cosmic neutrinos remain unidentified. On 22 September 2017, we detected a high-energy neutrino, IceCube-170922A, with an energy of ~290 tera-electron volts. Its arrival direction was consistent with the location of a known γ-ray blazar, TXS 0506+056, observed to be in a flaring state. An extensive multiwavelength campaign followed, ranging from radio frequencies to γ-rays. These observations characterize the variability and energetics of the blazar and include the detection of TXS 0506+056 in very-high-energy γ-rays. This observation of a neutrino in spatial coincidence with a γ-ray-emitting blazar during an active phase suggests that blazars may be a source of high-energy neutrinos.

Monoclonal gammopathy of undetermined significance (MGUS) can progress to multiple myeloma (MM).

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MicroRNAs (miRNAs) are noncoding RNAs that regulate global gene expression. miRNAs often act synergistically to repress target genes, and their dysregulation can contribute to the initiation and progression of a variety of cancers. The clinical relationship between global expression of miRNA and mRNA in cancer has not been studied in detail. We used whole-genome microarray analyses of CD138-enriched plasma cells from 52 newly diagnosed cases of multiple myeloma to correlate miRNA expression profiles with a validated mRNA-based risk stratification score, proliferation index, and predefined gene sets. In stark contrast to mRNAs, we discovered that all tested miRNAs were significantly up-regulated in high-risk disease as defined by a validated 70-gene risk score (P < 0.01) and proliferation index (P < 0.05). Increased expression of EIF2C2/AGO2, a master regulator of the maturation and function of miRNAs and a component of the 70-gene mRNA risk model, is driven by DNA copy number gains in MM. Silencing of AGO2 dramatically decreased viability in MM cell lines. Genome-wide elevated expression of miRNAs in high-risk MM may be secondary to deregulation of AGO2 and the enzyme complexes that regulate miRNA maturation and function. DICER1 | expression profile | multiple myeloma | risk stratification | system biology M icroRNAs (miRNAs) belong to a class of noncoding small RNAs with mature sequences that contain ≈22 nucleotides (1). As repressors of gene expression, miRNAs can bind to the 3′ untranslated region (3′UTR) of an mRNA and inhibit its translation or induce its degradation (1).Dysregulation of miRNA is involved in cancer initiation and progression (2, 3), and miRNA expression profiles have prognostic implications (4-6). Inhibiting miRNA has proved effective in vivo (7) and therefore could be a novel therapeutic strategy for cancer (8, 9). To date, few studies have investigated the roles of miRNA in multiple myeloma (MM), a plasma cell dyscrasia that homes to and expands in the bone marrow and produces disease manifestations that include osteolytic bone destruction with hypercalcemia, anemia, immunosuppression, and end-organ damage (10). Several miRNAs have been implicated in survival and growth of myeloma cells and myeloma tumor growth. For instance, miR-21 is a target of Stat3 and thus a critical component in IL-6/Stat3-dependent survival and growth pathways of myeloma cells (11). In addition, IL-6 inhibitor SOCS1 and p53 pathway component p300-CBPassociated factor are targets of multiple miRNAs, including miR-106b-25 cluster, miR-32, miR-181a/b, and miR-19a/b (12); suppression of these miRNAs inhibited myeloma tumor growth in nude mice (12).Applying miRNA expression profiles, Pichiorri et al. (12) identified miRNAs that were differentially expressed in plasma cells of healthy donors, subjects with a benign precursor to MM (monoclonal gammopathy of undetermined significance), and patients with MM. In other miRNA expression profiling studies, Roccaro et al. (13) To further investigate the potential involvement o...

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We present a search for a light sterile neutrino using three years of atmospheric neutrino data from the DeepCore detector in the energy range of approximately 10-60 GeV. DeepCore is the low-energy subarray of the IceCube Neutrino Observatory. The standard three-neutrino paradigm can be probed by adding an additional light (Δm 2 41 ∼ 1 eV 2 ) sterile neutrino. Sterile neutrinos do not interact through the standard weak interaction and, therefore, cannot be directly detected. However, their mixing with the three active neutrino states leaves an imprint on the standard atmospheric neutrino oscillations for energies below 100 GeV. A search for such mixing via muon neutrino disappearance is presented here. The data are found to be consistent with the standard three-neutrino hypothesis. Therefore, we derive limits on the mixing matrix elements at the level of jU μ4 j 2 < 0.11 and jU τ4 j 2 < 0.15 (90% C.L.) for the sterile neutrino mass splitting Δm 2 41 ¼ 1.0 eV 2 .