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Supplementary Table S3 from Down-Regulation of hsa-miR-10a in Chronic Myeloid Leukemia CD34+ Cells Increases USF2-Mediated Cell Growth

Supplementary Figures S1-S6 from Down-Regulation of hsa-miR-10a in Chronic Myeloid Leukemia CD34+ Cells Increases USF2-Mediated Cell Growth

Despite the development of novel therapies for acute myeloid leukemia (AML), outcomes remain poor for most patients, and therapeutic improvements are an urgent unmet need. Although treatment regimens promoting differentiation have succeeded in the treatment of acute promyelocytic leukemia (APL), their role in other AML subtypes needs to be explored. Here we identified and characterized two lysine (K) deacetylase inhibitors (DACi), CM-444 and CM-1758, exhibiting capacity to promote myeloid differentiation in all AML subtypes at low non-cytotoxic doses unlike other commercial HDACi. Analyzing the acetylome after CM-444 and CM-1758 treatment revealed modulation of non-histone proteins involved in the enhancer–promoter chromatin regulatory complex, including bromodomain proteins (BRDs). This acetylation was essential for enhancing the expression of key transcription factors directly involved in the differentiation therapy induced by CM-444/CM-1758 in AML. In summary, these compounds may represent effective differentiation-based therapeutic agents across AML subtypes with a novel mechanism for treatment of AML.

Natural sound contains data about the ecology of animal populations, communities, and the full ecosystem, resulting from a complex evolution and varying according to the environment. Amongst the processes that are hypothesized to explain sound assemblages, or soundscapes, one is the acoustic niche hypothesis: sounds produced by species calling at the same time seek avoid overlapping, leading to an acoustic differentiation of signals. Soundscapes are more complex in the most pristine environments and show responses to habitat degradation and physical perturbations; hence here, we focus on La Gomera, in the Canary Islands (Spain). This island is the only location in Europe where primary cloud forests are well preserved and thrive on an island with varied orography, microclimates, disturbances, and vegetation types. In this article, we adapted a method to quantify the importance of acoustic niche partitioning and also the opposite process: acoustic aggregation. To do so, we explored soundscapes at different temporal scales in forests with variable degrees of perturbation and maturity. A secondary goal of this report is to compare how soundscapes could differ in an area affected by a wildfire, and undisturbed equivalents, in summer in winter, seasons with contrasting temperatures and wind regimes. We conclude that tracking faunal activity and behavior through soundscape monitoring could be a piece of useful complementary information to guide conservation decisions and future restoration efforts in the Garajonay National Park (La Gomera).Highlights○ The mature forest and the transitional forest are similar in terms of sound levels, frequencies, and dynamics, although the transitional forest had higher sound levels of the lower frequencies (higher NDSI).○ The mature forest has stronger and more active assembly mechanisms (i.e., acoustic aggregation and acoustic niche partitioning) and a higher acoustic diversity index (ADI) than the transitional forest. Assembly organizes differently in both locations.○ In both the mature and the transitional forests, we found an inverse relationship between the ADI and acoustic niche partitioning. At the highest diversities (more frequency bands occupied), the weakest is the temporal avoidance of calls with similar frequencies.○ The vulnerability of the burned location is highest during the harsh summer, but in winter, it hosts a community very similar to the intact vegetation in terms of ADI and sound levels.

19 pages, 6 figures, 4 tables, supporting information https://doi.org/10.1111/1462-2920.16153.-- Data Availability Statement: The data that support the findings of this study are openly available in GitHub at http://github.com/lanzen/Garate_et_al_2022_data. Raw sequences are available from the INSDC Sequence Read Archive with BioProject number PRJEB54766, Pico- and nanoplankton are key players in the marine ecosystems due to their implication in the biogeochemical cycles, nutrient recycling and the pelagic food webs. However, the specific dynamics and niches of most bacterial, archaeal and eukaryotic plankton remain unknown, as well as the interactions between them. Better characterization of these is critical for understanding and predicting ecosystem functioning under anthropogenic pressures. We used environmental DNA metabarcoding across a 6-year time series to explore the structure and seasonality of pico- and nanoplankton communities in two sites of the Bay of Biscay, one coastal and one offshore, and construct association networks to reveal potential keystone and connector taxa. Temporal trends in alpha diversity were similar between the two sites, and concurrent communities more similar than within the same site at different times. However, we found differences between the network topologies of the two sites, with both shared and site-specific keystones and connectors. For example, Micromonas, with lower abundance in the offshore site is a keystone here, indicating a stronger effect of associations such as resource competition. This study provides an example of how time series and association network analysis can reveal how similar communities may function differently despite being geographically close, This study was financed by a ‘Retos Investigación: Proyectos I + D + i 2018’ grant (RTI2018-101018-A-I00) from the Spanish government. Laura Alonso-Sáez was supported by a ‘Ramon y Cajal’ Grant from the Spanish Government. The environmental data for this study were obtained from the project ‘Program for the monitoring and assessment of the ecological status of transitional and coastal waters of the Basque Country’ funded by URA, the Basque Water Agency, through a convention with AZTI. Anders Lanzén is further supported by a Research Fellow contract from IKERBASQUE (Basque Foundation for Science), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

The development of computational tools for the systematic prediction of metabolic vulnerabilities of cancer cells constitutes a central question in systems biology. Here, we presentgMCStool, a freely accessible and online tool that allows us to carry out this task in a simple, efficient and intuitive environment.gMCStoolexploits the concept of genetic Minimal Cut Sets (gMCSs), a theoretical approach to synthetic lethality based on genome-scale metabolic networks, including a unique database of thousands of synthetic lethals computed from Human1, the most recent metabolic reconstruction of human cells. Based on RNA-seq data,gMCStoolextends and improves our previously developed algorithms to predict, visualize and analyze metabolic essential genes in cancer, demonstrating a superior performance than competing algorithms in both accuracy and computational performance. A detailed illustration ofgMCStoolis presented for multiple myeloma (MM), an incurable hematological malignancy. gMCStool could identify a synthetic lethal that explains the dependency on CTP Synthase 1 (CTPS1) in a sub-group of MM patients. We providein vitroexperimental evidence that supports this hypothesis, which opens a new research area to treat MM.

Concomitant inhibition of key epigenetic pathways involved in silencing tumor suppressor genes has been recognized as a promising strategy for cancer therapy. Herein, we report a first-in-class series of quinoline-based analogues that simultaneously inhibit histone deacetylases (from a low nanomolar range) and DNA methyltransferase-1 (from a mid-nanomolar range, IC50 1 log unit), and a suitable pharmacokinetic profile. In vivo, 12a achieved significant antitumor efficacy in a xenograft mouse model of human multiple myeloma.

Recent functional genomic screens—such as CRISPR-Cas9 or RNAi screening—have fostered a new wave of targeted treatments based on the concept of synthetic lethality. These approaches identified LEthal Dependencies (LEDs) by estimating the effect of genetic events on cell viability. The multiple-hypothesis problem is related to a large number of gene knockouts limiting the statistical power of these studies. Here, we show that predictions of LEDs from functional screens can be dramatically improved by incorporating the “HUb effect in Genetic Essentiality” (HUGE) of gene alterations. We analyze three recent genome-wide loss-of-function screens—Project Score, CERES score and DEMETER score—identifying LEDs with 75 times larger statistical power than using state-of-the-art methods. Using acute myeloid leukemia, breast cancer, lung adenocarcinoma and colon adenocarcinoma as disease models, we validate that our predictions are enriched in a recent harmonized knowledge base of clinical interpretations of somatic genomic variants in cancer (AUROC > 0.87). Our approach is effective even in tumors with large genetic heterogeneity such as acute myeloid leukemia, where we identified LEDs not recalled by previous pipelines, including FLT3-mutant genotypes sensitive to FLT3 inhibitors. Interestingly, in-vitro validations confirm lethal dependencies of either NRAS or PTPN11 depending on the NRAS mutational status. HUGE will hopefully help discover novel genetic dependencies amenable for precision-targeted therapies in cancer. All the graphs showing lethal dependencies for the 19 tumor types analyzed can be visualized in an interactive tool.

Multiple myeloma (MM) is an incurable disease, whose clinical heterogeneity makes its management challenging, highlighting the need for biological features to guide improved therapies. Deregulation of specific long non-coding RNAs (lncRNAs) has been shown in MM, nevertheless, the complete lncRNA transcriptome has not yet been elucidated. In this work, we identified 40,511 novel lncRNAs in MM samples. lncRNAs accounted for 82% of the MM transcriptome and were more heterogeneously expressed than coding genes. A total of 10,351 overexpressed and 9,535 downregulated lncRNAs were identified in MM patients when compared with normal bone-marrow plasma cells. Transcriptional dynamics study of lncRNAs in the context of normal B-cell maturation revealed 989 lncRNAs with exclusive expression in MM, among which 89 showed de novo epigenomic activation. Knockdown studies on one of these lncRNAs, SMILO (specific myeloma intergenic long non-coding RNA), resulted in reduced proliferation and induction of apoptosis of MM cells, and activation of the interferon pathway. We also showed that the expression of lncRNAs, together with clinical and genetic risk alterations, stratified MM patients into several progression-free survival and overall survival groups. In summary, our global analysis of the lncRNAs transcriptome reveals the presence of specific lncRNAs associated with the biological and clinical behavior of the disease.

Naïve human pluripotent stem cells (hPSCs) are defined as the in vitro counterpart of the human preimplantation embryo’s epiblast and are used as a model system to study developmental processes. In this study, we report the discovery and characterization of distinct cell populations coexisting with epiblast-like cells in 5iLAF naïve human induced PSCs (hiPSCs) cultures. Noteworthily these populations closely resemble different cell types of the human embryo at early developmental stages. While epiblast-like cells represented the main cell population, interestingly we detected a cell population with gene and transposable element expression profile closely resembling the totipotent 8-Cell (8C) stage human embryo, and three cell populations analogous to trophectoderm (TE) cells at different stages of their maturation process: transition, early and mature stage. Thus, 5iLAF naïve hiPSCs cultures provide an excellent opportunity to model the earliest events of human embryogenesis, from the 8C stage to the peri-implantation period.Graphical abstract

Recent functional genomic screens -such as CRISPR-Cas9 or RNAi screening-have fostered a new wave of targeted treatments based on the concept of synthetic lethality. These approaches identified LEthal Dependencies (LEDs) by estimating the effect of genetic events on cell viability. The multiple-hypothesis problem related to the large number of gene knockouts limits the statistical power of these studies. Here, we show that predictions of LEDs from functional screens can be dramatically improved by incorporating the “HUb effect in Genetic Essentiality” (HUGE) of gene alterations. We analyze three recent genome-wide loss-of-function screens - Project Score, CERES score and DEMETER score-identifying LEDs with 75 times larger statistical power than using state-of-the-art methods. HUGE shows an increased enrichment in a recent harmonized knowledgebase of clinical interpretations of somatic genomic variants in cancer (with an AUROC up to 0.87). Our approach is effective even in tumors with large genetic heterogeneity such as acute myeloid leukemia, where we identified LEDs not recalled by previous pipelines, including FLT3-mutant genotypes sensitive to FLT3 inhibitors. Interestingly, in-vitro validations confirm lethal dependencies of either NRAS or PTPN11 depending on the NRAS mutational status. HUGE will hopefully help discover novel genetic dependencies amenable for precision-targeted therapies in cancer.

Bladder cancer is lethal in its advanced, muscle-invasive phase with very limited therapeutic advances1,2. Recent molecular characterization has defined new (epi)genetic drivers and potential targets for bladder cancer3,4. The immune checkpoint inhibitors have shown remarkable efficacy but only in a limited fraction of bladder cancer patients5–8. Here, we show that high G9a (EHMT2) expression is associated with poor clinical outcome in bladder cancer and that targeting G9a/DNMT methyltransferase activity with a novel inhibitor (CM-272) induces apoptosis and immunogenic cell death. Using an immunocompetent quadruple-knockout (PtenloxP/loxP; Trp53loxP/loxP; Rb1loxP/loxP; Rbl1−/−) transgenic mouse model of aggressive metastatic, muscle-invasive bladder cancer, we demonstrate that CM-272 + cisplatin treatment results in statistically significant regression of established tumors and metastases. The antitumor effect is significantly improved when CM-272 is combined with anti-programmed cell death ligand 1, even in the absence of cisplatin. These effects are associated with an endogenous antitumor immune response and immunogenic cell death with the conversion of a cold immune tumor into a hot tumor. Finally, increased G9a expression was associated with resistance to programmed cell death protein 1 inhibition in a cohort of patients with bladder cancer. In summary, these findings support new and promising opportunities for the treatment of bladder cancer using a combination of epigenetic inhibitors and immune checkpoint blockade. Inhibition of histone and DNA methyltransferase activity enhances sensitivity to platinum-based and immunotherapy in a novel transgenic mouse model of metastatic bladder cancer.

Concomitant inhibition of key epigenetic pathways involved in silencing tumor suppressor genes has been recognized as a promising strategy for cancer therapy. Herein, we report a first-in-class series of quinoline-based analogues that simultaneously inhibit histone deacetylases (from a low nanomolar range) and DNA methyltransferase-1 (from a mid-nanomolar range, IC

Estuarine and coastal ecosystems play a fundamental role in human activities. Since millions of people depend on the numerous resources they offer (i.e., fisheries, transportation, and recreational activities), these ecosystems are also exposed to a high anthropogenic pressure. In order to better monitor and regulate such pressures, it is critical to improve our understanding of the functioning of these ecosystems. This is especially important for microorganisms, considering, for instance, their important roles in biogeochemical cycles. In this study we investigate estuarine and coastal microbial communities along the coast of the Basque Country using eDNA metabarcoding of bacterioplankton and microbenthos samples along a time series, from locations that present different degrees of disturbance. Metabarcoding of the 16S and 18S rRNA gene was carried out, and the OTU and taxa tables generated were used to reconstruct ecological networks, representing potential biological interactions. These ecological networks were used to identify on one hand the species that play a major role in the maintenance of the whole community structure (keystones), and on the other, complex network modules affected by environmental impacts. Here, we define keystone taxa as those that presented the highest ratio between the degree of connectivity (number of associations they established within the network) and their relative abundance. The underlying aim of this study is to develop novel “bioindicators” based on taxa that are both sensitive to impacts and important for community structure. Results of two seawater communities, one from offshore waters and the other from the coast, showed similar bacterial composition at family level, dominated by Flavobacteraceae and Rhodobacteraceae. Nevertheless, their ecological network properties differed strongly: for a similar number of taxa that established associations, the conectance was similar in both communities, but the number of associations in the coastal community was twice as high as for the offshore one, resulting in a higher modularity. Identified keystone taxa were taxonomically different between both communities: those from the coastal community belonged to Protobacteria, Bacteroidetes, Firmicutes, and Fusobacteria phyla, while the keystones from the offshore community belonged to Proteobacteria, Actinobacteria, Chloroflexi, Thaumarchaeota, PAUC34f and Verrucomicrobia. Moreover, we identified “connector” taxa that presented the highest values of betweenness centrality. These taxa, without having a high degree of connectivity, may be important for the interaction structure because they connect modules, i.e., highly connected subnetworks within the whole network. Further, hierarchical clustering was performed to identify seasonal trends and to better understand the associations retrieved. Taxa with different seasonal preference often grouped together in the same modules, which indicates that modularity was not caused primarily by seasonality.

Este artículo contiene 10 páginas, 5 figuras, 1 tabla, We studied the core bacterial communities of 19 sponge species from Nha Trang Bay (Central Vietnam), with particular emphasis on the contribution of planktonic seawater bacteria to the sponge core microbiomes. To ensure consistent sponge-microbe associations and accurate identification of planktonic bacteria transmitted from seawater, we were very restrictive with the definition of the sponge core microbiomes (present in all the replicates), and with the identification of valid biological 16S rRNA gene sequences (100% sequence identity) that belonged to potentially different bacterial taxa. We found a high overlap (>50% relative abundance) between the sponge species core microbiome and the seawater bacterial core in ca. a half of the studied species, including representatives of both, HMA and LMA sponges. From our restrictive analysis, we point to horizontal transmission as a relevant way of symbiont acquisition in sponges. Some species-specific recognition mechanisms may act in sponges to enrich specific seawater bacteria in their tissues. These mechanisms would allow the maintenance of bacterial communities in a species across geographical ranges. Moreover, besides contrasting preferences in bacteria selection from seawater, divergent physiological traits may also account for the different microbiomes in species of HMA and LMA sponges., This research was partially funded by projects MarSymbiOmics (CTM2013-43287-P) and PopCOmics (CTM2017-88080, MINECO/AEI/FEDER/UE) from the Spanish Government. JC and EOC were supported by the project BRIDGES (CGL2015-69043-P).

Multiple myeloma (MM) is a plasma cell neoplasm associated with a broad variety of genetic lesions. In spite of this genetic heterogeneity, MMs share a characteristic malignant phenotype whose underlying molecular basis remains poorly characterized. In the present study, we examined plasma cells from MM using a multi-epigenomics approach and demonstrated that, when compared to normal B cells, malignant plasma cells showed an extensive activation of regulatory elements, in part affecting coregulated adjacent genes. Among target genes up-regulated by this process, we found members of the NOTCH, NF-kB, MTOR signaling, and TP53 signaling pathways. Other activated genes included sets involved in osteoblast differentiation and response to oxidative stress, all of which have been shown to be associated with the MM phenotype and clinical behavior. We functionally characterized MM-specific active distant enhancers controlling the expression of thioredoxin (TXN), a major regulator of cellular redox status and, in addition, identified PRDM5 as a novel essential gene for MM. Collectively, our data indicate that aberrant chromatin activation is a unifying feature underlying the malignant plasma cell phenotype. This research was funded by the European Union's Seventh Framework Programme through the Blueprint Consortium (grant agreement 282510), Fundació La Marató de TV3, Instituto de Salud Carlos III (ISCIII) PI14/01867, PI16/02024, and PI17/00701, TRASCAN (EPICA), MINECO Explora (RTHALMY), Departamento de Salud del Gobierno de Navarra 40/2016, Gilead Fellowship Program (GLD16/00142), Multiple Myeloma Research Foundation Networks of excellence, the International Myeloma Foundation (Brian van Novis) and the Qatar National Research Fund award 7-916-3-237. Furthermore, the authors acknowledge the support of the Generalitat de Catalunya Suport Grups de Recerca AGAUR 2017-SGR-736 and 2017-SGR-1142, TRASCAN-iMMunocelland European Research Council starting grant (MYELOMANEXT), CIBERONC (CB16/12/00489, CB16/12/00369 and CB16/12/00225), co-financed with FEDER funds, the Accelerator award CRUK/AIRC/AECC joint funder-partnership, as well as NCI R01 CA180475 and a MMRF collaborative grant. R.O. was supported by a FPU Fellowship of the Spanish Government, M.K. by an AOI grant of the Spanish Association Against Cancer and N.R. by the Acció instrumental d'incorporació de scientífics i tecnòlegs PERIS 2016 from the Generalitat de Catalunya. This work was partially developed at the Centro Esther Koplowitz (CEK, Barcelona, Spain). We particularly acknowledge the patients for their participation and the Biobank of the University of Navarra for its collaboration.

Using knowledge- and structure-based approaches, we designed and synthesized reversible chemical probes that simultaneously inhibit the activity of two epigenetic targets, histone 3 lysine 9 methyltransferase (G9a) and DNA methyltransferases (DNMT), at nanomolar ranges. Enzymatic competition assays confirmed our design strategy: substrate competitive inhibitors. Next, an initial exploration around our hit 11 was pursued to identify an adequate tool compound for in vivo testing. In vitro treatment of different hematological neoplasia cell lines led to the identification of molecules with clear antiproliferative efficacies (GI50 values in the nanomolar range). On the basis of epigenetic functional cellular responses (levels of lysine 9 methylation and 5-methylcytosine), an acceptable therapeutic window (around 1 log unit) and a suitable pharmacokinetic profile, 12 was selected for in vivo proof-of-concept ( Nat. Commun. 2017, 8, 15424). Herein, 12 achieved a significant in vivo efficacy: 70% overall tumor g...

Epigenetic regulators that exhibit aberrant enzymatic activities or expression profiles are potential therapeutic targets for cancers. Specifically, enzymes responsible for methylation at histone-3 lysine-9 (like G9a) and aberrant DNA hypermethylation (DNMTs) have been implicated in a number of cancers. Recently, molecules bearing a 4-aminoquinoline scaffold were reported as dual inhibitors of these targets and showed a significant in vivo efficacy in animal models of hematological malignancies. Here, we report a detailed exploration around three growing vectors born by this chemotype. Exploring this chemical space led to the identification of features to navigate G9a and DNMT1 biological spaces: not only their corresponding exclusive areas, selective compounds, but also common spaces. Thus, we identified from selective G9a and first-in-class DNMT1 inhibitors, >1 log unit between their IC50 values, with IC50 < 25 nM (e.g., 43 and 26, respectively) to equipotent inhibitors with IC50 < 50 nM for both target...

12 páginas, 3 tablas, 4 figuras, Benthic sessile organisms in general, and sponges in particular, have developed an array of defense mechanisms to survive in crowded, resource and/or space-limited environments. Indeed, various defense mechanisms may converge in sponges to accomplish a defensive function in an additive or synergetic way, or to operate at different times during the sponge’s life cycle. Moreover, sponges harbor highly diverse microbial communities that contribute in several ways to the host’s success. Although some symbiotic bacteria produce chemical compounds that protect the sponge from predation, the possible deterrent function exerted by the calcareous coat of a sponge’s endosymbiotic bacterium has not, to date, been explored. Hemimycale columella is an Atlanto-Mediterranean sponge, which produces bioactive metabolites and has been reported to host an intracellular bacterium with a calcite envelope. Calcibacteria accumulate in high densities at the sponge periphery, forming a kind of sub-ectosomal cortex. They have been suggested to provide the sponge with several benefits, one of which is protection from predators. In this study, we assess the relative contribution of the endosymbiotic calcibacteria and bioactive compounds produced by H. columella to defend the sponge against sympatric predators. Deterrence experiments have revealed that the sponge combines >1 defense mechanism to dissuade a large array of potential predators; this represents an example of the evolutionary fixation of redundant mechanisms of defense. The chemicals deterred Paracentrotus lividus, Chromis chromis, Oblada melanura, and Diplodus vulgaris, but not Parablennius incognitus and Coris julis, while the spherules of the symbiotic calcibacteria significantly deterred all predators assayed., This study (M.J.U.) has partially been funded by the projects MarSymbiomics (MINECO, I+D+I of Excellence, CTM2013-43287-P), the Benthic Ecology Consolidate Team of the Generalitat de Catalunya (2014 SGR-120), and BluePharm Train FP7 People-INT (Ref. 2013- 90 667786).

The combination of defined factors with small molecules targeting epigenetic factors is a strategy that has been shown to enhance optimal derivation of iPSCs and could be used for disease modelling, high throughput screenings and/or regenerative medicine applications. In this study, we showed that a new first-in-class reversible dual G9a/DNMT1 inhibitor compound (CM272) improves the efficiency of human cell reprogramming and iPSC generation from primary cells of healthy donors and patient samples, using both integrative and non-integrative methods. Moreover, CM272 facilitates the generation of human iPSC with only two factors allowing the removal of the most potent oncogenic factor cMYC. Furthermore, we demonstrated that mechanistically, treatment with CM272 induces heterochromatin relaxation, facilitates the engagement of OCT4 and SOX2 transcription factors to OSKM refractory binding regions that are required for iPSC establishment, and enhances mesenchymal to epithelial transition during the early phase of cell reprogramming. Thus, the use of this new G9a/DNMT reversible dual inhibitor compound may represent an interesting alternative for improving cell reprogramming and human iPSC derivation for many different applications while providing interesting insights into reprogramming mechanisms.

Este artículo contiene 18 páginas, 8 figuras., Sponges are key organisms in the marine benthos where they play essential roles in ecological processes such as creating new niches, competition for resources, and organic matter recycling. Despite the increasing number of taxonomical studies, many sponge species remain hidden, whether unnoticed or cryptic. The occurrence of cryptic species may confound ecological studies by underestimating biodiversity. In this study, we monitored photographically growth, fusions, fissions, and survival of two morpho- logically cryptic species Hemimycale mediterranea Uriz, Garate & Agell, 2017 and H. columella (Bowerbank, 1874). Additionally, we characterized the main environmental factors of the corresponding species habitats, trying to ascertain whether some abiotic factors were correlated with the distribution of these species. Sponge monitoring was performed monthly. Seawater samples were collected the same monitoring days in the vicinity of the target sponges. Results showed contrasting growth and survival patterns for each species: H. mediterranea totally disappeared after larval release while 64% of individuals of H. columella survived the entire two years we monitored. The species also differed in the number of fissions and fusions. These events were evenly distributed throughout the year in the H. mediterranea population but concentrated in cold months in H. columella. No measured environmental factor correlated with H. mediterranea growth rates, while temperature and dissolved organic nitrogen were negatively correlated with H. columella growth rates. The strong differences in depth distribution, survival, growth, fusions, and fissions found between these two cryptic species, highlights the importance of untangling cryptic species before ecological studies are performed in particular when these species share geographical distribution., MJU has received research grants from MarSymbiOmics from the Ministry of Economy and Competitivity (MINECO, I+D+I of Excellence, CTM2013-43287-P), the Benthic Ecology Consolidate Team (2014-SGR-120) from the Generalitat of Catalonian, and the BluePharm Train (FP7 People-INT) from the European Union. LG benefited from a fellowship (FPI BES-2011-049132) associated to the Benthomics' Project (ref. CTM2010-22218-C02-01) from the Ministry of Science and Innovation to MJU.

Este artículo contiene 14 páginas, 7 figuras, 1 tabla., From an evolutionary point of view, sponges are ideal targets to study marine symbioses as they are the most ancient living metazoans and harbour highly diverse microbial communities. A recently discovered association between the sponge Hemimycale columella and an intracellular bacterium that generates large amounts of calcite spherules has prompted speculation on the possible role of intracellular bacteria in the evolution of the skeleton in early animals. To gain insight into this purportedly ancestral symbiosis, we investigated the presence of symbiotic bacteria in Mediterranean and Caribbean sponges. We found four new calcibacteria OTUs belonging to the SAR116 in two orders (Poecilosclerida and Clionaida) and three families of Demospongiae, two additional OTUs in cnidarians and one more in seawater (at 98.5% similarity). Using a calcibacteria targeted probe and CARD-FISH, we also found calcibacteria in Spirophorida and Suberitida and proved that the calcifying bacteria accumulated at the sponge periphery, forming a skeletal cortex, analogous to that of siliceous microscleres in other demosponges. Bacteria-mediated skeletonization is spread in a range of phylogenetically distant species and thus the purported implication of bacteria in skeleton formation and evolution of early animals gains relevance., The research has been funded by MARSYMBIOMICS project (Spanish MINECO, CTM2013-43287-P) BluePharmTrain (FP7 People-INT, Ref. 2013- 667786), and Grup Consolidat SGR-120, to MJU. LG benefited from a fellowship within the Benthomics project (Spanish MICINN, CTM-2010-22218-C02-01).

Multiple myeloma (MM) is a hematological malignancy characterized by an abnormal accumulation of clonal plasma cells in the bone marrow. MM heterogeneity is associated to the presence of different genomic and transcriptomic profiles that have a clear impact on the prognosis of the disease. Metabolism has been deeply studied in cancer research, unveiling several vulnerabilities in different tumors. However, information regarding the role of metabolism in the pathogenesis of MM has not been explored in detail. Previous studies from our group using Systems Biology approach, explained the essentiality of metabolic gene RRM1 in several MM cell lines. The aim of our current study was to identify metabolic vulnerabilities in MM based on the application of a system biology approach focus on metabolic networks and trascriptomic data from MM patients. Our hypothesis being that changes in the metabolic landscape of MM could be exploited to uncover novel targets for prognosis and treatment in MM patients. We have analyzed the strand specific RNA-seq data from 35 samples from different subpopulations of B cells (Naïve, Centroblast, Centrocyte, Memory, Tonsilar and Bone Marrow Plasma cells (PCs)) and PCs of 37 MM patient samples. Using only the expression of 3287 metabolic genes included in Recon3D, the latest human metabolic reconstruction, we identified metabolic transcription patterns that clearly differentiate the different B cells from MM plasma cells (Figure 1A). MM samples were more similar to the normal PCs than to other B cells, which suggest that they maintain part of the metabolic pattern of the PCs, but in turn showed significant differences in the expression of metabolic genes. Interestingly, differential expression analysis of metabolic genes in MM PCs revealed a decrease in the expression of genes involved in mitochondrial activity and an increase in those that participate in metabolic proliferation, indicating that these alterations could probably play an important role in the development of this tumor. Using our novel systems biology approach, based on Recon3D and transcriptomic profiles, we predicted essential genes and synthetic lethals (involving two or more genes) that were specific for MM patients and not for the rest of the B cell subpopulations. Our approach makes use of the concept of genetic Minimal Cut Sets, previously introduced by our group in cancer research, which defines subsets of genes that if knocked out at the same time, induce a blockage of cellular proliferation. A metabolic vulnerability is found when only one gene is highly expressed in one of these gMCSs. We also analyzed the essentiality of these genes in more than 500 MM patients samples included in CoMMpass project and MM cell lines analyzed in Cancer Cell Line encyclopedia (CCLE). Using this computational strategy, we detected 8 essential genes involved in 42 gMCS specific for MM patients. From those candidates, GNPAT was our most promising target gene, as it was predicted to be essential for more than 40% of MM patients in our group, approximately 10% of patients of CoMMpass and in the majority of MM cell lines (Figure 1B). Validation of GNPAT expression and other 18 genes involved in the GNPAT gMCS was carried out by RT-qPCR showing similar results that were obtained with our RNA-seq data. Interestingly, the expression of the partner genes included in the GNPAT gMCS, such as DGK gene family, could also be indicators of the effectiveness of knocking-out, where their high expression is an indicator of resistance and their low expression an indicator of sensitivity. In conclusion, our findings suggest that our systems biology computational approach, driven by RNA-seq data, identifies metabolic vulnerabilities (defined as essential genes or synthetic lethal genes) providing pairs of new targets (essential gene) and their associated biomarkers (gMCS) in patients with MM. Figure 1: Metabolic genes expression analysis in human humoral immune response and MM patient samples. A) Standardized PCA result using the expression of metabolic genes included in Recon3D, in distinct subpopulations of B cells and MM samples. B) GNPAT gMCS showing the expression (in TPM) of GNPAT and associated 18 genes in MM cell lines. Figure 1 Disclosures Paiva: Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. Melnick:Epizyme: Consultancy; KDAc Therapeutics: Membership on an entity's Board of Directors or advisory committees; Constellation Pharmaceuticals: Consultancy; Janssenn: Research Funding. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria.

Deregulation of long non-coding RNAs (lncRNAs) is emerging as a common feature of different human tumors and their investigation may uncover novel biomarkers and oncogenic mechanisms. Previous studies have suggested that the alteration of some lncRNAs may play an important role in the pathogenesis of multiple myeloma (MM); however, the complete expression landscape of lncRNAs has not been elucidated. In the present work we characterized the lncRNAs transcriptome of MM and determined the potential involvement of lncRNAs in the pathogenesis and clinical behavior of MM. To characterize the MM transcriptome, we performed paired-end strand-specific RNA sequencing (ssRNA-seq) in 38 purified plasma cell (PC) samples from MM patients and in 3 bone marrow PCs (BMPCs) of healthy donors, as well as in distinct normal B-cell populations (Naïve, Centroblasts, Centrocytes, Memory and Tonsilar PCs). We identified 40,511 novel lncRNAs that were expressed, accounting for more than half of MM transcriptome (56%). This group of novel lncRNAs together with previously annotated lncRNAs comprised most (82%) of the MM transcriptome. We studied the transcriptional heterogeneity in MM samples and observed that lncRNAs showed a much more heterogeneous expression than coding genes, suggesting that these elements could contribute to the biological heterogeneity of the disease. Moreover, to determine differentially expressed genes, each MM patient was compared to normal BMPCs, detecting 19,886 lncRNAs deregulated (10,351 overexpressed and 9,535 downregulated) in more than 50% of patients. We then analyzed the transcriptional dynamics of MM considering the different stages of B-cell differentiation and focused on a group of 989 lncRNAs that were upregulated specifically in plasma cells from MM in comparison with the rest of B-cell stages (MM-specific lncRNAs). Next, we aimed to determine whether upregulation of MM-specific lncRNAs in MM was under epigenetic control so we analyzed the distribution of six histone modifications with non-overlapping functions (H3K4me3, H3K4me1, H3K27ac, H3K36me3, H3K27me3, and H3K9me3) of within the lncRNAs of interest by ChIP-seq in MM cases as compared to normal B cell subtypes. We detected 89 lncRNAs with de novo epigenomic activation. These data suggest an epigenetic rewiring in MM where the loci of most MM-specific lncRNAs are in an inactive state in normal cells and become active in MM. We focused on a specific lncRNA, LINC-SMILO, de novo epigenetically active and expressed in MM cells to determine whether upregulation of this lncRNA could play a role in the pathogenesis of the disease. Knockdown of LINC-SMILO in 3 different MM cell lines (MM.1S, MM.1R and KMS-11) using two different shRNAs, resulted in reduced proliferation and induction of apoptosis of myeloma cells. Using low input RNA-seq (MARS-seq), we found that inhibition of LINC-SMILO was associated with activation of ERVs (Endogenous retroviruses) and increase in interferon (IFN) induced genes and activation of IFN pathways, essential for MM cells survival. Finally, we aimed to determine whether the use of specific lncRNAs could improve the current prognostic stratification of MM patients using the IA11 release of CoMMpass data. We analyzed the prognostic value of lncRNAs using COX regression analysis and Backward elimination of Stepwise regression analysis, obtaining that the overexpression of the lncRNA PDLIM1P4 together with 1q amplification and 17p deletion stratified MM patients in three different risk groups (Figure 1). In summary, our study shows that the lncRNA transcriptome is widely altered in MM and suggests that some of the identified lncRNAs have marked prognostic influence and can be used as potential therapeutic targets for MM. Disclosures Paiva: Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria. Melnick:KDAc Therapeutics: Membership on an entity's Board of Directors or advisory committees; Constellation Pharmaceuticals: Consultancy; Epizyme: Consultancy; Janssenn: Research Funding.

Deregulation of long non-coding RNAs (lncRNAs) is a common feature of cancer, including Multiple Myeloma (MM). In our previous studies, we detected 11,495 and 40,511 previously non-annotated lncRNAs during normal humoral immune response and MM patient samples, respectively. These results support an important role for the lncRNAs transcriptome in this hematological malignancy. lncRNAs are genes that differ from coding genes in that they do not give rise to a protein. Nevertheless, lncRNA could undergo the same genetic alterations as coding genes. In this study, we hypothesize that lncRNAs can be involved in the principal genetic alterations occurring in MM such as chromosomal translocations, affecting the Immunoglobulin loci (IG) and in the majority of which the fusion partner still remains unknown. In order to unveil the role of lncRNAs in fusion transcripts occurring in MM, we analyzed the strand specific RNA-seq (ssRNA-seq) data obtained from 35 samples from different subpopulations of B cells (Naïve, Centroblast, Centrocyte, Memory and Plasma cells (PCs)), purified PCs from 32 MM patients and 3 MM cell lines. Chimeric transcripts were detected with the STAR-Fusion software, identifying 1,347 novel fusion transcripts ranging from 1 to 142 chimeric transcripts per sample. Strikingly, healthy PC samples (from tonsils and bone marrow) yielded the highest number of fusion transcripts, while other B cell subpopulations showed overall low numbers and MM samples turned out highly variable. 96% of all fusion transcripts detected in healthy PCs occurred with IG genes and harbored few reads per transcript, suggesting that the hyperactive transcription of the IG loci in PCs may be the cause for their formation and are probably not involved in the pathogenesis of the disease. We also found that HLA fusion transcripts were abundant in Naïve B cells, disappearing progressively during the humoral immune response (Figure 1). Interestingly, fusion transcripts identified in different B cell subpopulations were not detected in MM samples. Next, we focus on myeloma samples and identified 362 chimeric transcripts (312 unique) expressed specifically in MM (ranging from 2 to 24 chimeric transcripts per sample), most of them (84%) identified for the first time. 69% of these transcripts partnered with the IG genes, while the other fusions involved two non-IG genes. Interestingly, as we hypothesized, 26,5% of the chimeric transcripts in MM occurred with lncRNA as a partner, increasing the relevance of lncRNAs in this disease. Furthermore, using the read distribution per chimeric transcript, we identified a prevalent reciprocal transcript or a prevalent transcript expressed with >1 FFPM in 47% of MM samples, suggesting that they could derived from underlying genomic rearrangements. Besides these prevalent transcripts, we observed that 40% of the non-IG fusion transcripts occurred between adjacent genes, defining novel MM-transcriptional read-throughs, possibly caused by the oncogenic stress suffered by MM cells. Some of these chimeric transcripts were validated in different cell lines of MM by conventional PCR and sequencing. In summary, our findings show that ssRNA-seq data is an adequate strategy for the detection of chimeric transcripts in MM, being able to detect highly expressed chimeric transcripts that probably were derived from an underlying genomic rearrangements and also new categories of chimeric transcripts. In addition, our study reveals a complex landscape of fusion transcripts in the MM, many of them including a lncRNA, which could be potential therapeutic targets for the development of new treatment strategies for MM. Disclosures Paiva: Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria.

Acute myeloid leukemia (AML) is a hematologic neoplasm characterized by a remarkable phenotypic and genomic heterogeneity. The recent characterization of genomic subtypes of AML based on large sequencing studies has provided the rationale for the development of targeted therapies based on the presence of specific genomic abnormalities. However, long term survival particularly in older patients remains a unmet medicalneed. Additionally, recent studies using RNA interference (RNAi) libraries have determined the existence of genes that are essential for the survival of multiple cancer cells. Understanding the effect of genomic alterations (mutations, deletions, translocations) on gene essentiality could favor the development of targeted therapies for specific subgroups of AML patients. However, current statistical methods such as the Benjamini-Hochberg (BH) procedure have shown limitations for controlling the false discovery rate (FDR) and have suboptimal sensitivity (recall of true positives) because the P-value correction does not include any prior information of individual tests. For this reason, in this study we developed a new large-scale statistical algorithm, which combine the RNAi libraries (more than 17.000 genes) data with mutational profiles, to identify gene essentialities associated with specific genomic mutations in order to explore this approach in AML. We adapted the Independent Hypothesis Weighting (IHW) procedure to the problem of identifying mutations as surrogate markers of gene essentiality, by using the gene mutation state in each cell line as prior information of a IHW problem. This approach was tested in 19 tumor subtypes, of the Cancer Cell Line Encyclopedia (CCLE) showing that it recalls new discoveries that cannot be identified with standard procedures in 17 out of 19 tumors, including the identification of up to 1,000 discoveries in tumor types in which BH recalls no discovery. These results demonstrated the accuracy of the IHW-based approach to identify gene mutations as surrogate markers of gene essentiality in the future. Once validated, we applied this computational model to the15 AMLcell lines of CCLE. The number of discoveries with an FDR of 20% increases from 2 (using the traditional BH correction), to 38 using our procedure, showing NRAS as the top mutation biomarker in the ranking. Interestingly, the algorithm identified one essential gene (NRAS) for NRAS mutated (NRAS-mut) and another essential gene (PTPN11) for NRAS wild type (NRAS-wt) AML cells, covering all samples of AMLs. To validate this hypothesis, we examined the effect of two different specific siRNAs for each gene (siPTPN11 and siNRAS) on cell proliferation of four AML cell lines: two lines with NRAS-mut (HL-60 and OCIAML3) and two with NRAS-wt (MV4-11 and HEL). Downregulation of NRAS expression significantly decreases the cell proliferation only in the 2 NRAS-mutated AML cell lines. Whereas the inhibition of PTPN11expression produced an equivalent effect, but specifically in the 2 NRAS-wt AML cell lines (Figure 1). These results confirmed our predictions and showed the essential role of NRAS or PTNPN11 in AML cell lines either with NRAS mutated or wild type, respectively. These results demonstrate that the application of our algorithm in the context of specific gene mutation not only may allow identification of directed therapies based on the mutation but can also define new gene essentialities amenable for targeted therapies providing new therapeutic strategies in patients with AML and potentially in other tumors. Disclosures Paiva: Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche and Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene, Janssen, Sanofi and Takeda: Consultancy. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria.

Acute myeloid leukemia (AML) is a malignant disease characterized by uncontrolled proliferation, differentiation arrest and accumulation of immature myeloid progenitors. Despite recent developments and the approval of new therapeutic agents in the last few years, long term survival of AML, particularly in elderly patients remains an unmet medical need.The use of all-trans retinoic acid (ATRA) in Acute Promyelocytic Leukemia has proven that differentiation therapy may significantly change the survival of AML patients, however the success in APL has not been translated to other groups of AML. Therefore, the identification of new therapeutic agents that may induce the differentiation of AML blasts represents an attractive new target. Furthermore, it is well known that epigenetic alterations have an important role in the development and maintenance of cancer and AML in particular. Thus, our aim was to develop new small molecules targeting epigenetic modifying enzymes like DNA methyltransferases (DNMT), histone methyltransferases or histone deacetylase (HDAC) with the aim of inducing differentiation in AML. We performed a screening of over 50 small molecules synthesized by our group. The design was performed in-house using a knowledge and structure based strategy and the read out of the screening was based on changes in expression of CD11b (a well described marker of myeloid differentiation) after in vitro treatment of AML cells lines. Interestingly, we found several compounds with high capacity to promote the differentiation of leukemic cells in AML cells lines at low non-cytotoxic doses, selecting CM-444 and CM-1758 as our lead compounds (Figure 1a).A complete biochemical characterization showed that both compounds are specific pan-HDACs inhibitors (HDACi). CM-444 and CM-1758 induced in vitro cell differentiation in all subtypes of AML, independently of the AML genetic subgroups or the presence of mutations, which was significantly more pronounced that differentiation induced by reference compounds such as Panobinostat, Vorinostat, Entinostat, Tubastatin or Quisinostat, previously described HDACi. CM-444 and CM-1758 also induced in vivo differentiation in xenogeneic models of AML. AML differentiation was associated with induction of CD11b, downregulation of c-MYC, overexpression of transcription factors that govern the myeloid differentiation and morphologic changes. In addition, these compounds promoted in vitro differentiation of patient-derived AML blasts. The complete transcriptome analysis by RNA-Seq carried out in AML cell lines after CM-444, CM-1758, Panobinostat or Vorinostat treatment showed changes in genes implicated in differentiation, but without explaining the differences among the different HDACi. Analysis of the complete acetylome and proteome before and after treatment with CM-444 and CM-1758 in comparison with other HDACi showed differential acetylation of non-histone proteins included in the GO categories of Zn binding proteins and nucleic acid binding proteins (Figure 1b). Most of these proteins are epigenetic enzymes and have been related to AML and myeloid differentiation, such as MLL2, EP300 or BRD4. In summary, we have developed and characterized novel epigenetic small molecules with a high in vitro and in vivo capacity of differentiating AML cells. These compounds might be an effective differentiation-based therapy to be tested in AML. Besides, the mechanism of differentiation of these compounds is due, at least in part, to the acetylation of non-histone epigenetic proteins, which are key in the myeloid differentiation. Disclosures Paiva: Celgene, Janssen, Sanofi and Takeda: Consultancy; Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche and Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria.

Multiple myeloma (MM) is a plasma cell neoplasm associated with a broad variety of genetic lesions. In spite of this genetic heterogeneity, MMs share a characteristic malignant phenotype whose underlying molecular basis remains poorly characterized. In the present study, we examined plasma cells from MM using a multi-epigenomics approach and demonstrated that when compared to normal B cells, malignant plasma cells showed an extensive activation of regulatory elements, in part affecting co-regulated adjacent genes. Among target genes upregulated by this process, we found members of the NOTCH, NFkB, mTOR1 signaling and p53 signaling pathways. Other activated genes included sets involved in osteoblast differentiation and response to oxidative stress, all of which have been shown to be associated with the MM phenotype and clinical behavior. We functionally characterized MM specific active distant enhancers controlling the expression of thioredoxin (TXN), a major regulator of cellular redox status, and in addition identified PRDM5 as a novel essential gene for MM. Collectively our data indicates that aberrant chromatin activation is a unifying feature underlying the malignant plasma cell phenotype.

Background Expression of the pro-apoptotic BCL-2-interacting mediator ( BIM ) has recently been implicated in imatinib-induced apoptosis of BCR-ABL1 + cells. However, the mechanisms involved in the regulation of BIM in CML and its role in the clinical setting have not been established. Design and methods We analysed the mRNA expression of BIM in 100 newly diagnosed patients with CML in chronic phase by Q-RT-PCR and the protein levels by Western blot analysis. Methylation status was analysed by bisulphite genomic sequencing and MSP. CML cell lines were treated with imatinib and 5-aza-2’-deoxycytidine, and were transfected with two different siRNAs against BIM and cell proliferation and apoptosis were analysed. Results We demonstrated that down-regulation of BIM expression was present in 36% of the patients and was significantly associated with a lack of optimal response to imatinib as indicated by the decrease in cytogenetic and molecular responses at 6, 12 and 18 months in comparison with patients with normal BIM expression ( p BIM was mediated by promoter hypermethylation as demonstrated by restoration of BIM expression after treatment of CML cells with 5-aza-2′-deoxycytidine. Using CML cell lines with low and normal expression of BIM we further demonstrated that the expression of BIM is required for imatinib-induced CML apoptosis. Conclusion Our data indicate that down-regulation of BIM is epigenetically controlled by methylation in a percentage of CML patients and has an unfavourable prognostic impact, and that the combination of imatinib with a de-methylating agent may result in improved responses in patients with decreased expression of BIM .

MicroRNAs (miRNA) are small noncoding, single-stranded RNAs that inhibit gene expression at a posttranscriptional level, whose abnormal expression has been described in different tumors. The aim of our study was to identify miRNAs potentially implicated in chronic myeloid leukemia (CML). We detected an abnormal miRNA expression profile in mononuclear and CD34+ cells from patients with CML compared with healthy controls. Of 157 miRNAs tested, hsa-miR-10a, hsa-miR-150, and hsa-miR-151 were down-regulated, whereas hsa-miR-96 was up-regulated in CML cells. Down-regulation of hsa-miR-10a was not dependent on BCR-ABL1 activity and contributed to the increased cell growth of CML cells. We identified the upstream stimulatory factor 2 (USF2) as a potential target of hsa-miR-10a and showed that overexpression of USF2 also increases cell growth. The clinical relevance of these findings was shown in a group of 85 newly diagnosed patients with CML in which expression of hsa-miR-10a was down-regulated in 71% of the patients, whereas expression of USF2 was up-regulated in 60% of the CML patients, with overexpression of USF2 being significantly associated with decreased expression of hsa-miR-10a (P = 0.004). Our results indicate that down-regulation of hsa-miR-10a may increase USF2 and contribute to the increase in cell proliferation of CML implicating a miRNA in the abnormal behavior of CML. (Mol Cancer Res 2008;6(12):1830–40)

The clinical significance of aberrant promoter methylation of the canonical Wnt pathway antagonist genes (sFRP1, sFRP2, sFRP4, sFRP5, Wif1, Dkk3, and Hdpr1) and also putative tumor-suppressor gene Wnt5a, belonging to the non-canonical Wnt signaling pathway, was investigated in a large series of 75 patients with Philadelphia chromosome-positive acute lymphoblastic leukemia by methylationspecific polymerase chain reaction. At least one methylated gene was observed in cells from 66% (49/75) of patients (methylated group). Disease-free survival and overall survival at 9 years were 51 and 40%, respectively, for the unmethylated group and 3 and 2%, respectively, for the methylated group (both P < 0.0001). Multivariate analysis demonstrated that the Wnt methylation profile was an independent prognostic factor predicting disease-free survival (P = 0.007) and overall survival (P = 0.039). Abnormal DNA methylation of promoter-associated CpG islands in the Wnt signaling pathway is very common in Philadelphia chromosome-positive acute lymphoblastic leukemia and potentially defines subgroups with distinct clinical characteristics.

In order to determine new signal transduction pathways implicated in chronic myeloid leukaemia (CML), we performed a gene expression profile comparison between CD34+ cells from CML patients and healthy donors. Functional studies were performed using the Mo7e and Mo7e-p210 cell lines. Expression of CCND1 (Cyclin D1), as well as the chaperone HSPA8, which is important for regulation of CCND1, were significantly upregulated in CD34+ CML cells. Upregulation of HSPA8 was dependent, at least in part, on STAT5 (signal transducer and activator of transcrition 5)-dependent transcriptional activation, as demonstrated by chromatin immunoprecipitation. The presence of HSPA8 in the nuclear protein fraction as well as its binding to CCND1 suggests that it may contribute to stabilization of the CCND1/CDK4 complex, which, in turn, may participate in proliferation of CML cells. Treatment of CML cells with the specific HSPA8 inhibitor 15-deoxyspergualin induced inhibition of CML cell viability but did not induce apoptosis. In conclusion, our studies suggest that STAT5-mediated activation of HSPA8 induces nuclear translocation and activation of the CCND1/CDK4 complex leading to increased proliferation of CML cells, deciphering a new pathway implicated in CML and supporting a potential role of chaperone inhibitors in the treatment of CML.

The aim of our study was to determine the potential mechanism(s) implicated in Imatinib resistance in patients with Ph + ALL. Resistance of Ph + ALL cells to Imatinib-induced apoptosis was associated with lack of inhibition of Akt phosphorylation. Addition of the PI3K inhibitor LY294002 to Imatinib significantly increased apoptosis of Ph + ALL cells. Interestingly, expression of PTEN was reduced in Ph + ALL cells which was due to PTEN promoter hypermethylation. Treatment of Ph + ALL cells with 5-Aza-2′-deoxycytidine was associated with an increased expression of PTEN and an increase in cell apoptosis. These results suggest that Imatinib resistance in patients with ALL may be dependent at least in part to PTEN down-regulation due to the abnormal promoter hypermethylation and support the potential role of de-methylating agents for the treatment of patients with Ph + ALL.