Showing papers by "Olli Kallioniemi published in 2012"

Somatic STAT3 Mutations in Large Granular Lymphocytic Leukemia

Abstract: Background T-cell large granular lymphocytic leukemia is a rare lymphoproliferative disorder characterized by the expansion of clonal CD3+CD8+ cytotoxic T lymphocytes (CTLs) and often associated with autoimmune disorders and immune-mediated cytopenias. Methods We used next-generation exome sequencing to identify somatic mutations in CTLs from an index patient with large granular lymphocytic leukemia. Targeted resequencing was performed in a well-characterized cohort of 76 patients with this disorder, characterized by clonal T-cell–receptor rearrangements and increased numbers of large granular lymphocytes. Results Mutations in the signal transducer and activator of transcription 3 gene (STAT3) were found in 31 of 77 patients (40%) with large granular lymphocytic leukemia. Among these 31 patients, recurrent mutational hot spots included Y640F in 13 (17%), D661V in 7 (9%), D661Y in 7 (9%), and N647I in 3 (4%). All mutations were located in exon 21, encoding the Src homology 2 (SH2) domain, which mediates th...

Salinomycin inhibits prostate cancer growth and migration via induction of oxidative stress

Abstract: BACKGROUND: We have shown that a sodium ionophore monensin inhibits prostate cancer cell growth. A structurally related compound to monensin, salinomycin, was recently identified as a putative canc ...

An integrated genomic approach identifies ARID1A as a candidate tumor-suppressor gene in breast cancer

Abstract: Tumor-suppressor genes (TSGs) have been classically defined as genes whose loss of function in tumor cells contributes to the formation and/or maintenance of the tumor phenotype. TSGs containing nonsense mutations may not be expressed because of nonsense-mediated RNA decay (NMD). We combined inhibition of the NMD process, which clears transcripts that contain nonsense mutations, with the application of high-density single-nucleotide polymorphism arrays analysis to discriminate allelic content in order to identify candidate TSGs in five breast cancer cell lines. We identified ARID1A as a target of NMD in the T47D breast cancer cell line, likely as a consequence of a mutation in exon-9, which introduces a premature stop codon at position Q944. ARID1A encodes a human homolog of yeast SWI1, which is an integral member of the hSWI/SNF complex, an ATP-dependent, chromatin-remodeling, multiple-subunit enzyme. Although we did not find any somatic mutations in 11 breast tumors, which show DNA copy-number loss at the 1p36 locus adjacent to ARID1A, we show that low ARID1A RNA or nuclear protein expression is associated with more aggressive breast cancer phenotypes, such as high tumor grade, in two independent cohorts of over 200 human breast cancer cases each. We also found that low ARID1A nuclear expression becomes more prevalent during the later stages of breast tumor progression. Finally, we found that ARID1A re-expression in the T47D cell line results in significant inhibition of colony formation in soft agar. These results suggest that ARID1A may be a candidate TSG in breast cancer.

Identification of MicroRNAs Inhibiting TGF-β-Induced IL-11 Production in Bone Metastatic Breast Cancer Cells

Abstract: Development of bone metastases is dependent on the cancer cell-bone cell interactions in the bone microenvironment. Transforming growth factor β (TGF-β) is released from bone during osteoclastic bone resorption and induces production of osteolytic factors, such as interleukin 11 (IL-11), in breast cancer cells. IL-11 in turn increases osteolysis by stimulating osteoclast function, launching a vicious cycle of cancer growth and bone destruction. We aimed to identify and functionally characterize microRNAs (miRNAs) that mediate the bone metastatic process, focusing on miRNAs that regulate the TGF-β induction of IL-11. First, we profiled the expression of 455 miRNAs in a highly bone metastatic MDA-MB-231(SA) variant as compared to the parental MDA-MB-231 breast cancer cell line and found 16 miRNAs (3.5%) having a >3-fold expression difference between the two cell types. We then applied a cell-based overexpression screen with Pre-miRNA constructs to functionally identify miRNAs regulating TGF-β-induced IL-11 production. This analysis pinpointed miR-204, miR-211, and miR-379 as such key regulators. These miRNAs were shown to directly target IL11 by binding to its 3′ UTR. MiR-379 also inhibited Smad2/3/4-mediated transcriptional activity. Gene expression analysis of miR-204 and miR-379-transfected cells indicated that these miRNAs downregulated the expression of several genes involved in TGF-β signaling, including prostaglandin-endoperoxide synthase 2 (PTGS2). In addition, there was a significant correlation between the genes downregulated by miR-379 and a set of genes upregulated in basal subtype of breast cancer. Taken together, the functional evidence and clinical correlations imply novel mechanistic links between miRNAs and the key steps in the bone metastatic process in breast cancer, with potential clinical relevance.

CIP2A signature reveals the MYC dependency of CIP2A-regulated phenotypes and its clinical association with breast cancer subtypes

Abstract: CIP2A signature reveals the MYC dependency of CIP2A-regulated phenotypes and its clinical association with breast cancer subtypes

Integration of metabolomics and expression of glycerol-3-phosphate acyltransferase (GPAM) in breast cancer-link to patient survival, hormone receptor status, and metabolic profiling.

Abstract: Changes in lipid metabolism are an important but not well-characterized hallmark of cancer. On the basis of our recent findings of lipidomic changes in breast cancer, we investigated glycerol-3-phosphate acyltransferase (GPAM), a key enzyme in the lipid biosynthesis of triacylglycerols and phospholipids. GPAM protein expression was evaluated and linked to metabolomic and lipidomic profiles in a cohort of human breast carcinomas. In addition, GPAM mRNA expression was analyzed using the GeneSapiens in silico transcriptiomics database. High cytoplasmic GPAM expression was associated with hormone receptor negative status (p = 0.013). On the protein (p = 0.048) and mRNA (p = 0.001) levels, increased GPAM expression was associated with a better overall survival. Metabolomic analysis by GC-MS showed that sn-glycerol-3-phosphate, the substrate of GPAM, was elevated in breast cancer compared to normal breast tissue. LC-MS based lipidomic analysis identified significantly higher levels of phospholipids, especially phosphatidylcholines in GPAM protein positive tumors. In conclusion, our results suggest that GPAM is expressed in human breast cancer with associated changes in the cellular metabolism, in particular an increased synthesis of phospholipids, the major structural component of cellular membranes.

Reanalysis of RNA-sequencing data reveals several additional fusion genes with multiple isoforms.

Abstract: RNA-sequencing and tailored bioinformatic methodologies have paved the way for identification of expressed fusion genes from the chaotic genomes of solid tumors. We have recently successfully exploited RNA-sequencing for the discovery of 24 novel fusion genes in breast cancer. Here, we demonstrate the importance of continuous optimization of the bioinformatic methodology for this purpose, and report the discovery and experimental validation of 13 additional fusion genes from the same samples. Integration of copy number profiling with the RNA-sequencing results revealed that the majority of the gene fusions were promoter-donating events that occurred at copy number transition points or involved high-level DNA-amplifications. Sequencing of genomic fusion break points confirmed that DNA-level rearrangements underlie selected fusion transcripts. Furthermore, a significant portion (>60%) of the fusion genes were alternatively spliced. This illustrates the importance of reanalyzing sequencing data as gene definitions change and bioinformatic methods improve, and highlights the previously unforeseen isoform diversity among fusion transcripts.

c-Jun N-Terminal Kinase Phosphorylation of MARCKSL1 Determines Actin Stability and Migration in Neurons and in Cancer Cells

Abstract: Cell migration is a fundamental biological function, critical during development and regeneration, whereas deregulated migration underlies neurological birth defects and cancer metastasis. MARCKS-like protein 1 (MARCKSL1) is widely expressed in nervous tissue, where, like Jun N-terminal protein kinase (JNK), it is required for neural tube formation, though the mechanism is unknown. Here we show that MARCKSL1 is directly phosphorylated by JNK on C-terminal residues (S120, T148, and T183). This phosphorylation enables MARCKSL1 to bundle and stabilize F-actin, increase filopodium numbers and dynamics, and retard migration in neurons. Conversely, when MARCKSL1 phosphorylation is inhibited, actin mobility increases and filopodium formation is compromised whereas lamellipodium formation is enhanced, as is cell migration. We find that MARCKSL1 mRNA is upregulated in a broad range of cancer types and that MARCKSL1 protein is strongly induced in primary prostate carcinomas. Gene knockdown in prostate cancer cells or in neurons reveals a critical role for MARCKSL1 in migration that is dependent on the phosphorylation state; phosphomimetic MARCKSL1 (MARCKSL1(S120D,T148D,T183D)) inhibits whereas dephospho-MARCKSL1(S120A,T148A,T183A) induces migration. In summary, these data show that JNK phosphorylation of MARCKSL1 regulates actin homeostasis, filopodium and lamellipodium formation, and neuronal migration under physiological conditions and that, when ectopically expressed in prostate cancer cells, MARCKSL1 again determines cell movement.

High-throughput transcriptomic and RNAi analysis identifies AIM1, ERGIC1, TMED3 and TPX2 as potential drug targets in prostate cancer.

Abstract: Prostate cancer is a heterogeneous group of diseases and there is a need for more efficient and targeted methods of treatment. In this study, the potential of gene expression data and RNA interference technique were combined to advance future personalized prostate cancer therapeutics. To distinguish the most promising in vivo prevalidated prostate cancer drug targets, a bioinformatic analysis was carried out using genome-wide gene expression data from 9873 human tissue samples. In total, 295 genes were selected for further functional studies in cultured prostate cancer cells due to their high mRNA expression in prostate, prostate cancer or in metastatic prostate cancer samples. Second, RNAi based cell viability assay was performed in VCaP and LNCaP prostate cancer cells. Based on the siRNA results, gene expression patterns in human tissues and novelty, endoplasmic reticulum function associated targets AIM1, ERGIC1 and TMED3, as well as mitosis regulating TPX2 were selected for further validation. AIM1, ERGIC1, and TPX2 were shown to be highly expressed especially in prostate cancer tissues, and high mRNA expression of ERGIC1 and TMED3 associated with AR and ERG oncogene expression. ERGIC1 silencing specifically regulated the proliferation of ERG oncogene positive prostate cancer cells and inhibited ERG mRNA expression in these cells, indicating that it is a potent drug target in ERG positive subgroup of prostate cancers. TPX2 expression associated with PSA failure and TPX2 silencing reduced PSA expression, indicating that TPX2 regulates androgen receptor mediated signaling. In conclusion, the combinatorial usage of microarray and RNAi techniques yielded in a large number of potential novel biomarkers and therapeutic targets, for future development of targeted and personalized approaches for prostate cancer management.

The gene expression landscape of breast cancer is shaped by tumor protein p53 status and epithelial-mesenchymal transition

Abstract: Introduction: Gene expression data derived from clinical cancer specimens provide an opportunity to characterize cancer-specific transcriptional programs. Here, we present an analysis delineating a correlation-based gene expression landscape of breast cancer that identifies modules with strong associations to breast cancer-specific and general tumor biology. Methods: Modules of highly connected genes were extracted from a gene co-expression network that was constructed based on Pearson correlation, and module activities were then calculated using a pathway activity score. Functional annotations of modules were experimentally validated with an siRNA cell spot microarray system using the KPL-4 breast cancer cell line, and by using gene expression data from functional studies. Modules were derived using gene expression data representing 1,608 breast cancer samples and validated in data sets representing 971 independent breast cancer samples as well as 1,231 samples from other cancer forms. Results: The initial co-expression network analysis resulted in the characterization of eight tightly regulated gene modules. Cell cycle genes were divided into two transcriptional programs, and experimental validation using an siRNA screen showed different functional roles for these programs during proliferation. The division of the two programs was found to act as a marker for tumor protein p53 (TP53) gene status in luminal breast cancer, with the two programs being separated only in luminal tumors with functional p53 (encoded by TP53). Moreover, a module containing fibroblast and stroma-related genes was highly expressed in fibroblasts, but was also up-regulated by overexpression of epithelial-mesenchymal transition factors such as transforming growth factor beta 1 (TGF-beta1) and Snail in immortalized human mammary epithelial cells. Strikingly, the stroma transcriptional program related to less malignant tumors for luminal disease and aggressive lymph node positive disease among basal-like tumors. Conclusions: We have derived a robust gene expression landscape of breast cancer that reflects known subtypes as well as heterogeneity within these subtypes. By applying the modules to TP53-mutated samples we shed light on the biological consequences of non-functional p53 in otherwise low-proliferating luminal breast cancer. Furthermore, as in the case of the stroma module, we show that the biological and clinical interpretation of a set of co-regulated genes is subtype-dependent.

Cytokinesis failure due to derailed integrin traffic induces aneuploidy and oncogenic transformation in vitro and in vivo

Abstract: Aneuploidy is frequently detected in solid tumors but the mechanisms regulating the generation of aneuploidy and their relevance in cancer initiation remain under debate and are incompletely characterized. Spatial and temporal regulation of integrin traffic is critical for cell migration and cytokinesis. Impaired integrin endocytosis, because of the loss of Rab21 small GTPase or mutations in the integrin β-subunit cytoplasmic tail, induces failure of cytokinesis in vitro. Here, we describe that repeatedly failed cytokinesis, because of impaired traffic, is sufficient to trigger the generation of aneuploid cells, which display characteristics of oncogenic transformation in vitro and are tumorigenic in vivo. Furthermore, in an in vivo mouse xenograft model, non-transformed cells with impaired integrin traffic formed tumors with a long latency. More detailed investigation of these tumors revealed that the tumor cells were aneuploid. Therefore, abnormal integrin traffic was linked with generation of aneuploidy and cell transformation also in vivo. In human prostate and ovarian cancer samples, downregulation of Rab21 correlates with increased malignancy. Loss-of-function experiments demonstrate that long-term depletion of Rab21 is sufficient to induce chromosome number aberrations in normal human epithelial cells. These data are the first to demonstrate that impaired integrin traffic is sufficient to induce conversion of non-transformed cells to tumorigenic cells in vitro and in vivo.

A functional genetic screen reveals new regulators of β1-integrin activity.

Abstract: β1 integrins constitute a large group of widely distributed adhesion receptors, which regulate the ability of cells to interact with their surroundings. This regulation of the expression and activity of integrins is crucial for tissue homeostasis and development and contributes to inflammation and cancer. We report an RNA interference screen to uncover genes involved in the regulation of β1-integrin activity using cell spot microarray technology in cancer cell lines. Altogether, ten cancer and two normal cell lines were used to identify regulators of β1 integrin activity. Cell biological analysis of the identified β1-integrin regulatory genes revealed that modulation of integrin activity can influence cell invasion in a three-dimensional matrix. We demonstrate with loss-of-function and rescue experiments that CD9 activates and MMP8 inactivates β1 integrins and that both proteins associate with β1 integrins in cells. Furthermore, CD9 and MMP8 regulate cancer cell extravasation in vivo. Our discovery of new regulators of β1-integrin activity highlight the complexity of integrin activity regulation and provide a set of new genes involved in regulation of integrin function.

Lysophosphatidic acid and sphingosine-1-phosphate promote morphogenesis and block invasion of prostate cancer cells in three-dimensional organotypic models.

Abstract: Normal prostate and some malignant prostate cancer (PrCa) cell lines undergo acinar differentiation and form spheroids in three-dimensional (3-D) organotypic culture. Acini formed by PC-3 and PC-3M, less pronounced also in other PrCa cell lines, spontaneously undergo an invasive switch, leading to the disintegration of epithelial structures and the basal lamina, and formation of invadopodia. This demonstrates the highly dynamic nature of epithelial plasticity, balancing epithelial-to-mesenchymal transition against metastable acinar differentiation. This study assessed the role of lipid metabolites on epithelial maturation. PC-3 cells completely failed to form acinar structures in delipidated serum. Adding back lysophosphatidic acid (LPA) and sphingosine-1-phosphate (S1P) rescued acinar morphogenesis and repressed invasion effectively. Blocking LPA receptor 1 (LPAR1) functions by siRNA (small interference RNA) or the specific LPAR1 inhibitor Ki16425 promoted invasion, while silencing of other G-protein-coupled receptors responsive to LPA or S1P mainly caused growth arrest or had no effects. The G-proteins Gα12/13 and Gαi were identified as key mediators of LPA signalling via stimulation of RhoA and Rho kinases ROCK1 and 2, activating Rac1, while inhibition of adenylate cyclase and accumulation of cAMP may be secondary. Interfering with these pathways specifically impeded epithelial polarization in transformed cells. In contrast, blocking the same pathways in non-transformed, normal cells promoted differentiation. We conclude that LPA and LPAR1 effectively promote epithelial maturation and block invasion of PrCa cells in 3-D culture. The analysis of clinical transcriptome data confirmed reduced expression of LPAR1 in a subset of PrCa's. Our study demonstrates a metastasis-suppressor function for LPAR1 and Gα12/13 signalling, regulating cell motility and invasion versus epithelial maturation.

Heparin-like polysaccharides reduce osteolytic bone destruction and tumor growth in a mouse model of breast cancer bone metastasis.

Abstract: TGF-β regulates several steps in cancer metastasis, including the establishment of bone metastatic lesions. TGF-β is released from bone during osteoclastic bone resorption and it stimulates breast cancer cells to produce osteolytic factors such as interleukin 11 (IL-11). We conducted a cell-based siRNA screen and identified heparan sulfate 6-O-sulfotransferase 2 (HS6ST2) as a critical gene for TGF-β–induced IL-11 production in highly bone metastatic MDA-MB-231(SA) breast cancer cells. HS6ST2 attaches sulfate groups to glucosamine residues in heparan sulfate glycosaminoglycans. We subsequently showed how heparin and a high-molecular-weight Escherichia coli K5-derived heparin-like polysaccharide (K5-NSOS) inhibited TGF-β–induced IL-11 production in MDA-MB-231(SA) cells. In addition, K5-NSOS inhibited bone resorption activity of human osteoclasts in vitro. We evaluated the therapeutic potential of K5-NSOS and fragmin in a mouse model of breast cancer bone metastasis. MDA-MB-231(SA) cells were inoculated into the left cardiac ventricle of athymic nude mice which were treated with fragmin, K5-NSOS, or vehicle once a day for four weeks. Both heparin-like glycosaminoglycans inhibited weight reduction, decreased osteolytic lesion area, and reduced tumor burden in bone. In conclusion, our data imply novel mechanisms involved in TGF-β induction and support the critical role of heparan sulfate glycosaminoglycans in cancer metastasis as well as indicate that K5-NSOS is a potential antimetastatic and antiresorptive agent for cancer therapy. This study illustrates the potential to translate in vitro siRNA screening results toward in vivo therapeutic concepts. Mol Cancer Res; 10(5); 597–604. ©2012 AACR.

15-Hydroxyprostaglandin dehydrogenase associates with poor prognosis in breast cancer, induces epithelial-mesenchymal transition, and promotes cell migration in cultured breast cancer cells.

Abstract: Breast cancer is the most frequent cancer and the leading cause of cancer-related deaths in women worldwide. The prognosis of breast cancer is tightly correlated with the degree of spread beyond th ...

HES6 gene is selectively overexpressed in glioma and represents an important transcriptional regulator of glioma proliferation

Abstract: HES6 gene is selectively overexpressed in glioma and represents an important transcriptional regulator of glioma proliferation

Integrative genomic, transcriptomic, and RNAi analysis indicates a potential oncogenic role for FAM110B in castration-resistant prostate cancer.

Abstract: BACKGROUND: Castration-resistant prostate cancer (CRPC) represents a therapeutic challenge for current medications. METHODS: In order to explore the molecular mechanisms involved in CRPC progression and to identify new therapeutic targets, we analyzed a unique sample set of 11 CRPCs and 7 advanced tumors by array-CGH and gene expression microarrays. The genome-wide DNA and RNA data were integrated to identify genes whose overexpression was driven by their amplification. To assess the functional role of these genes, their expression was analyzed in a transcriptional data set of 329 clinical prostate cancers and the corresponding gene products were silenced using RNA interference in prostate cancer cells. RESULTS: Six recurrent genetic targets were identified in the CRPCs; ATP1B1, AR, FAM110B, LAS1L, MYC, and YIPF6. In addition to AR and MYC, FAM110B emerged as a potential key gene involved in CRPC progression in a subset of the tumors. FAM110B was able to regulate AR signaling in prostate cancer cells and FAM110B itself was regulated by androgens. FAM110B siRNA inhibited the growth of prostate cancer cells in vitro, and this effect was substantially enhanced in androgen deficient conditions. Ectopic FAM110B expression in non-cancerous epithelial prostate cells induced aneuploidy and impaired antigen presentation. CONCLUSIONS: The DNA/RNA gene outlier detection combined with siRNA cell proliferation assay identified FAM110B as a potential growth promoting key gene for CRPC. FAM110B appears to have a key role in the androgen signaling and progression of CRPC impacting multiple cancer hallmarks and therefore highlighting a potential therapeutic target.

Chemical Biology Drug Sensitivity Screen Identifies Sunitinib as Synergistic Agent with Disulfiram in Prostate Cancer Cells

Abstract: Background: Current treatment options for castration- and treatment-resistant prostate cancer are limited and novel approaches are desperately needed. Our recent results from a systematic chemical biology sensitivity screen covering most known drugs and drug-like molecules indicated that aldehyde dehydrogenase inhibitor disulfiram is one of the most potent cancer-specific inhibitors of prostate cancer cell growth, including TMPRSS2-ERG fusion positive cancers. However, the results revealed that disulfiram alone does not block tumor growth in vivo nor induce apoptosis in vitro, indicating that combinatorial approaches may be required to enhance the anti-neoplastic effects. Methods and Findings: In this study, we utilized a chemical biology drug sensitivity screen to explore disulfiram mechanistic details and to identify compounds potentiating the effect of disulfiram in TMPRSS2-ERG fusion positive prostate cancer cells. In total, 3357 compounds including current chemotherapeutic agents as well as drug-like small molecular compounds were screened alone and in combination with disulfiram. Interestingly, the results indicated that androgenic and antioxidative compounds antagonized disulfiram effect whereas inhibitors of receptor tyrosine kinase, proteasome, topoisomerase II, glucosylceramide synthase or cell cycle were among compounds sensitizing prostate cancer cells to disulfiram. The combination of disulfiram and an antiangiogenic agent sunitinib was studied in more detail, since both are already in clinical use in humans. Disulfiram-sunitinib combination induced apoptosis and reduced androgen receptor protein expression more than either of the compounds alone. Moreover, combinatorial exposure reduced metastatic characteristics such as cell migration and 3D cell invasion as well as induced epithelial differentiation shown as elevated Ecadherin expression. Conclusions: Taken together, our results propose novel combinatorial approaches to inhibit prostate cancer cell growth. Disulfiram-sunitinib combination was identified as one of the potent synergistic approaches. Since sunitinib alone has been reported to lack efficacy in prostate cancer clinical trials, our results provide a rationale for novel combinatorial approach to target prostate cancer more efficiently.

Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs

Abstract: Background Detailed and systematic understanding of the biological effects of millions of available compounds on living cells is a significant challenge. As most compounds impact multiple targets and pathways, traditional methods for analyzing structure-function relationships are not comprehensive enough. Therefore more advanced integrative models are needed for predicting biological effects elicited by specific chemical features. As a step towards creating such computational links we developed a data-driven chemical systems biology approach to comprehensively study the relationship of 76 structural 3D-descriptors (VolSurf, chemical space) of 1159 drugs with the microarray gene expression responses (biological space) they elicited in three cancer cell lines. The analysis covering 11350 genes was based on data from the Connectivity Map. We decomposed the biological response profiles into components, each linked to a characteristic chemical descriptor profile.

Systemic analysis of gene expression profiles identifies ErbB3 as a potential drug target in pediatric alveolar rhabdomyosarcoma.

Abstract: Pediatric sarcomas, including rhabdomyosarcomas, Ewing’s sarcoma, and osteosarcoma, are aggressive tumors with poor survival rates. To overcome problems associated with nonselectivity of the current therapeutic approaches, targeted therapeutics have been developed. Currently, an increasing number of such drugs are used for treating malignancies of adult patients but little is known about their effects in pediatric patients. We analyzed expression of 24 clinically approved target genes in a wide variety of pediatric normal and malignant tissues using a novel high-throughput systems biology approach. Analysis of the Genesapiens database of human transcriptomes demonstrated statistically significant up-regulation of VEGFC and EPHA2 in Ewing’s sarcoma, and ERBB3 in alveolar rhabdomyosarcomas. In silico data for ERBB3 was validated by demonstrating ErbB3 protein expression in pediatric rhabdomyosarcoma in vitro and in vivo. ERBB3 overexpression promoted whereas ERBB3-targeted siRNA suppressed rhabdomyosarcoma cell gowth, indicating a functional role for ErbB3 signaling in rhabdomyosarcoma. These data suggest that drugs targeting ErbB3, EphA2 or VEGF-C could be further tested as therapeutic targets for pediatric sarcomas.

Delivering ICT infrastructure for biomedical research

Abstract: This paper describes an implementation of the Infrastructure-as-a-Service (IaaS) concept for scientific computing and seven service pilot implementations with requirements from biomedical use cases at the CSC - IT Center for Science. The key service design requirements were enabling the use of any scientific software environment the use cases needed to succeed, and delivering the distributed infrastructure ICT resources seamlessly with the local ICT resources for the scientist users. The service concept targets the IT administrators at research organisations and delivers virtualised compute cluster and storage capacity via private network solutions. The virtualised resources can become part of the local cluster as virtual nodes and they can share the same file system as the physical nodes assuming the network performance is sufficient. Extension of the local resources can then be made transparent to enable an easy infrastructure uptake to the scientist end-users. Based on 20 months of service piloting most of the biomedical organisations express a sustained and growing need for the distributed compute and storage resources delivered with the IaaS. We conclude that a successful implementation of the IaaS can improve access and reduce the effort to run expensive ICT infrastructure needed for biomedical research.

Monensin Induced Oxidative Stress Reduces Prostate Cancer Cell Migration and Cancer Stem Cell Population

Abstract: Prostate cancer is the most common malignancy and second leading cause of cancer related death in males in developed countries (Jemal et al. 2011). Patients with localized and metastatic prostate cancer are treated with anti-androgens. Although prostate cancer cell proliferation is initially blocked or slowed down with anti-androgen therapy, eventually castration-resistant disease develops (Sharifi, Gulley & Dahut 2010). Therapeutic options for castration-resistant prostate cancer are limited and treatment responses to currently existing therapies are often unsatisfactory (Bracarda et al. 2011). For example, the cytotoxic therapy often causes severe toxicity and eventually leads also to the development of chemoresistance (Tannock et al. 2004, Berthold et al. 2008, Bracarda et al. 2011). Thus, there is an urgent need for novel agents to block the proliferation and to inhibit the progression of the primary prostate cancer cells to the advanced stage as well as to target advanced and metastatic prostate cancer. Therefore, understanding of disease progression and drug resistance mechanisms may provide valuable insights into the development of novel treatment options to improve the survival of prostate cancer patients.

Erratum to: Enhanced serine production by bone metastatic breast cancer cells stimulates osteoclastogenesis

Abstract: The authors would like to inform that the description for the data sets used in the Kaplan–Meier analysis of relapsefree survival and the number of samples used in the Kaplan–Meier analysis of overall survival were incorrectly reported in the original publication. PSAT1 expression was analyzed in almost twice as many samples as reported. The results and significance of all the analyses remain unchanged. It should read as follows: Materials and methods

Abstract 3175: Genomic and transcriptomic data integration in chronic myelomonocytic leukemia reveals a novel fusion gene involving onco-miR-125b-2

Abstract: Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Chronic myelomonocytic leukemia (CMML) is a rare malignancy characterized by increased peripheral monocytosis and dysplasia in a single- or multilineage fashion. Gene mutations so far reported in CMML include TET2, CBL, NRAS, KRAS, RUNX1 and EZH2 but their pathogenic role and driver status in the disease remains unclear. Altered expression of the microRNA miR-125b has been implicated in the pathogenesis of many types of cancers, including myeloid leukemias and Down syndrome-associated acute myeloid leukemia (DS-AML). In addition, this miRNA has been shown to play an important role in hematopoiesis and the regulation of immune cell response. Here, integration of data from next-generation transcriptome sequencing, exome sequencing and array-CGH in a CMML patient (trisomy 21 by cytogenetics) led to the identification of a novel gene fusion event involving the nuclear receptor interacting protein NRIP1 gene and the open reading frame C21orf34 (both at 21q21 approximately 1 MB apart). The fusion was validated by capillary sequencing and found to involve two copy number transition breaks, inversion of the intervening region and the upregulation of the 3′ end of C21orf34. This intronic region harbors a cluster of three miRNAs: miR-let7c, miR-99a, and miR-125b-2. Based on genomic breakpoint analysis, the gene fusion took place just upstream of miR-125b-2. Consistent with this, only miR-125b-2 was highly expressed in the sample, and was processed to a mature miRNA. By RT-PCR, increased expression of miR-125b-2 was also observed in four other CMML patients and five CML patients when compared to healthy bone marrow controls. In contrast, five AML cases studied showed expression levels similar to or lower than that of controls. Interestingly, one AML patient with trisomy 21 had very high levels of miR-125b-2. We found the NRIP1-C21orf34 fusion only in our index patient and therefore other mechanisms of miRNA deregulation at 21q21 in CMML/CML and AML+21 will also exist. In conclusion, we describe for the first time a fusion gene involving miR-125b-2 in CMML, a previously recognized and well-studied onco-miR, which is known to impact on self-renewal of hematopoietic cell precursors. We also detected overexpression of miR-125b-2 in all CMML samples studied suggesting a key pathogenetic driver gene role for this micro-RNA. The assessment of miR-125b-2 levels could potentially be applied to the diagnosis and follow-up of patients with CMML. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3175. doi:1538-7445.AM2012-3175

Abstract 2984: A comprehensive bioinformatic analysis of the representativity of 460 cancer cell lines as model systems for 88 different clinical cancer types

Abstract: Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Cell lines are routinely used as model systems in cancer research, drug discovery and pharmacogenomics. An alarming number of cell lines have been reported not to represent their original cancer type due to cross contamination or due to having evolved or dedifferentiated extensively. However, a systematic evaluation on the extent to which each cell line accurately represent the corresponding in vivo tumors has not been done across all types of tumors. The aim of this study was to comprehensively examine how well cancer cell lines resemble the uncultured primary tumors they supposedly are derived from and to identify genes and pathways which are particularly coherent or divergent. We examined 1268 Affymetrix gene expression profiles from 460 established cell lines and compared them against reference gene expression data from 13 961 in vivo cancer samples. These data originated from the In Silico Transcriptomics (IST TM) database (www.medisapiens.com), a more comprehensive version of the GeneSapiens database (Kilpinen et al. 2008), and were analyzed by the Alignment of Gene Expression Profiles (AGEP) method (Kilpinen et al. 2011). AGEP compares gene expression profiles from individual samples to groups of reference samples, and returns a gene-by-gene analysis of how much, as well as how uniquely, the sample resembles each reference group. We compared each of the 1268 cell line samples against 32 main cancer groups as well as 88 specific cancer reference groups. Thus, our comparison was unique in that it measured not only how well each of the cancer cell lines resembled the expected in vivo tumor tissue, but also how much they resembled all other tumor types. Our results showed that 38% of the cell lines had the highest similarity to the expected main cancer type. This percentage was lower when looking at the more specific groups (21%). Similar classification of individual clinical tumors to the average tumor classes with the AGEP method achieved 88% accuracy. A few cell line types had a high percentage of matches with the corresponding clinical tumors, with melanoma (95% match), T-ALL (74%) and colorectal cancer (79%) showing highest similarities. In contrast, pancreatic and ovarian tumor cell lines showed the lowest match percentages to the corresponding primary tumors (0%). We also studied the results on a gene-by-gene basis and identified those genes that were contributing to the match or discordant classification in each case. Interestingly, several genes were common to the majority of cell lines that clearly deviated from each of the primary tumor types (mostly cell cycle and cell adhesion genes), while other differences were more cancer-specific, e.g. MLANA and SILV genes, which were lost from some melanoma cell lines. These results will be useful for selecting optimal cancer model systems for each cancer type, and for each gene and pathway of interest. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2984. doi:1538-7445.AM2012-2984

Abstract 4580: Personalized treatment selection for therapy-resistant AML by integrating ex-vivo drug sensitivity and resistance testing (DSRT) as well as serial genomic, transcriptomic and phosphoproteomic profiling

Abstract: Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Samples from recurrent, treatment-refractory cancers are rarely available, but would be valuable in understanding the molecular drivers of drug resistance. In leukemias, consecutive samples are readily available during treatment. Hence, we explored here the progression of adult acute myeloid leukemias (AML) by serial sampling and by integrating data from multiple platforms. Next-generation exome and RNA sequencing, and phosphoproteomic data were combined with comprehensive 240 cancer drug sensitivity and resistance testing (DSRT) of leukemic blasts ex-vivo before and after clinical relapse. The data were generated in an experimental diagnostic setting, with intent to improve and personalize treatment of patients with recurrent AML. A 54-year old AML-M5 patient with a FLT-3-ITD mutation and a normal karyotype was monitored by serial sampling. The patient was initially refractory to three consecutive high-dose induction treatments and had limited therapy options. AML blasts from the patient were screened with the DSRT platform. Results implied that the blast cells were 710-times more sensitive to temsirolimus and other rapamycin analogs as compared to normal BM cells, and showed a 1100-fold increased sensitivity to dasatinib. Proteomic analysis showed high phosphorylation of several signaling molecules, such as the insulin receptor and mTOR. Sequencing identified WT1 mutations and a NUP98-NSD1 fusion transcript, an infrequent event associated with poor prognosis in AML. Based on the DSRT results, the patient received compassionate off-label treatment with dasatinib, sunitinib and temsirolimus, resulting in a remarkable clinical remission, normalization of blast counts and a rapid recovery of neutrophil counts as a sign of selective elimination of the leukemic cells. The patient relapsed 4 weeks later, and at this point a new DSRT assay was performed, which showed the blast cells to be completely resistant to temsirolimus and less sensitive to dasatinib ex vivo. Consistent with this drug sensitivity profile was a genomic evolution of a distinct AML subclone with new changes, such as NF1 mutation and a microdeletion of the LEF1 gene, which were not observed in the pre-treatment sample. Taken together, we have demonstrated, how molecular profiling and functional ex vivo drug sensitivity and resistance data can be used to individually optimize patient treatment. Remission was achieved in a patient with advanced, treatment-refractory AML. Serial sampling from human AML patients coupled with molecular profiling and drug sensitivity testing may shed light on clonal progression of disease, and the molecular events underlying drug response. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4580. doi:1538-7445.AM2012-4580

Abstract 5067: Exome sequencing reveals both DNA sequence and copy number changes in AML: Potential driver changes and mechanisms of drug resistance revealed from serial samples from the same patients

Abstract: Despite significant advances in characterizing the molecular genetics of AML, the clonal evolution of leukemic cells and the dynamic impact of genomic changes on the development of the disease and progression to drug resistance are not well understood. Here, we applied next-generation sequencing to quantify aberrant tumor subclones carrying specific mutant alleles of key cancer genes and developed a method to extract quantitative high-resolution copy number changes across the genome using exome sequencing data from matching cancer and normal DNA. Serial bone marrow (BM) samples collected from diagnosis to relapse to post-treatment drug resistance in a patient-centric manner made it possible to trace the clonal evolution of AML and to identify variants potentially involved in drug resistance. Exome sequencing from AML blast cells and normal skin biopsies was performed as part of the Finnish Hematology Registry and Biobanking (FHRB) effort. Consecutive paired samples from different patients revealed unique genetic patterns of clonal evolution and cancer progression in each patient. In a pre-resistant sample of one AML M5 patient, we identified four closely spaced insertions in the Wilm9s Tumor (WT1) suppressor gene, none of which appear on the same sequence reads. This suggests the presence of multiple distinct leukemic subclones even before treatment resistance and underscores the strong selective advantage conferred by WT1 mutations. After relapse, one of the subclones was lost, and another one significantly increased suggesting that the relapse arose from the expansion of a pre-existing resistant subclone. In this patient, recurrent clones otherwise featured similar copy number changes and the same fusion genes as the primary diagnostic sample. In another AML patient developing recurrence an opposite pattern was observed: The relapsed, drug-resistant cells displayed an enormous increase of small microdeletions compared to the diagnostic, pre-treatment sample, while almost all sequence-level alterations in potential cancer genes were the same between the two samples. This suggests that a distinct type of DNA repair deficiency may have contributed to the drug resistant clone in this patient. Conclusions: Exome sequencing from paired samples of AML cells before and after relapse makes it possible to trace the clonal evolution of the disease and study the impact of therapy both at the level of sequence alterations of key cancer genes and simultaneously at the level of copy number changes inferred from exome sequence data. This analysis has highlighted multiple genomic patterns by which resistance may evolve in vivo during cancer treatment. Refined bioinformatic analysis and interpretation of exome-seq data provides a rich resource to identify genetic biomarkers of drug response and minimal residual disease. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5067. doi:1538-7445.AM2012-5067