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  • 1
    In: International Journal of Advanced Research, International Journal Of Advanced Research, Vol. 8, No. 6 ( 2020-06-30), p. 1570-1575
    Type of Medium: Online Resource
    ISSN: 2320-5407
    Language: Unknown
    Publisher: International Journal Of Advanced Research
    Publication Date: 2020
    detail.hit.zdb_id: 2733321-8
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  • 2
    In: International Journal of Physiotherapy and Research, I MED Research Publications, Vol. 6, No. 4 ( 2018-08-11), p. 2791-2796
    Type of Medium: Online Resource
    ISSN: 2321-8975 , 2321-1822
    Uniform Title: EXPERIMENTAL STUDY TO COMPARE THE EFFECT OF SUBOCCIPITAL CRANIAL BASE RELEASE AND SUBOCCIPITAL FASCIAL SCRAPING ON THE EXTENSIBILITY OF OTHER SEGMENTS OF POSTERIOR KINETIC CHAIN
    Language: Unknown
    Publisher: I MED Research Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2716565-6
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  • 3
    In: Journal of Cereal Research, Society for Advancement of Wheat and Barley Research, Vol. 13, No. 3 ( 2022-01-05), p. undefined-
    Type of Medium: Online Resource
    ISSN: 2582-2675
    Language: Unknown
    Publisher: Society for Advancement of Wheat and Barley Research
    Publication Date: 2022
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  • 4
    Online Resource
    Online Resource
    Institution of Engineering and Technology (IET) ; 2018
    In:  Micro & Nano Letters Vol. 13, No. 10 ( 2018-10), p. 1480-1485
    In: Micro & Nano Letters, Institution of Engineering and Technology (IET), Vol. 13, No. 10 ( 2018-10), p. 1480-1485
    Type of Medium: Online Resource
    ISSN: 1750-0443 , 1750-0443
    URL: Issue
    Language: English
    Publisher: Institution of Engineering and Technology (IET)
    Publication Date: 2018
    detail.hit.zdb_id: 2378130-0
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  • 5
    Online Resource
    Online Resource
    International Journal of Engineering Applied Sciences and Technology ; 2022
    In:  International Journal of Engineering Applied Sciences and Technology Vol. 7, No. 1 ( 2022-05-01), p. 287-289
    In: International Journal of Engineering Applied Sciences and Technology, International Journal of Engineering Applied Sciences and Technology, Vol. 7, No. 1 ( 2022-05-01), p. 287-289
    Abstract: —In India, the power zone is currently the biggest carbon emitter, and the transport area is the fastestgrowing carbon emitter. This paper introduces a model of solar-power-driven charging stations for electric vehicles to diminish issues encountered in India's solar energy usage processes and to deal with the growing power demand for electrical automobiles in the forthcoming future. This study applies the projected model to Mumbai City to verify its specialized and budgetary feasibleness. Our dependence on nonrenewable energy is intensely weakened for one combined use of solar radiation and Electrical Automobile charging. In this paper, a solar charger for an electrical vehicle is created and refined. A dc-dc boost converter is engaged to boost the solar panel power to station battery-generated power to enhance the output from the photovoltaic cell. A buck converter is used to step down the station battery voltage to electric automobile battery potential. The constant power and fixed current forms of loading are used to charge the vehicle battery.
    Type of Medium: Online Resource
    Language: Unknown
    Publisher: International Journal of Engineering Applied Sciences and Technology
    Publication Date: 2022
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  • 6
    In: Blood, American Society of Hematology, Vol. 130, No. Suppl_1 ( 2017-12-07), p. 854-854
    Abstract: Introduction Most patients with acute myeloid leukemia (AML) are still missing effective options for targeted treatments. Here, we applied individualized systems medicine (ISM) concept1 by integrating deep molecular profiles (genomics, transcriptomics) and ex vivo drug response profiles with 521 oncology drugs in 154 AML patient samples. The aim was to identify new treatment opportunities for molecular subsets of AML patients. When feasible, ISM guided treatment opportunities were applied clinically for AML patient treatment. Serial samples were available to identify molecular alterations in response to targeted drug treatment and to monitor therapeutic success or failure. We also aimed at testing the impact of bone marrow stromal cell conditioned media on drug response profiles in AML patients2. Methods Samples from bone marrow or blood of 122 AML patients and 17 healthy donors were obtained with written consent and ethical approval (239/13/03/00/2010 and 303/13/03/01/2011) from the Hematology Clinic, Comprehensive Cancer Center, Helsinki University Hospital. The ex vivo drug sensitivity and resistance testing (DSRT) assay was performed with 521 approved oncology drugs and investigational oncology compounds as described earlier1. In this study, freshly isolated mononuclear cells were randomly resuspended either in standard mononuclear cell medium (MCM, PromoCell) or in human bone marrow stroma derived conditioned medium (CM) for drug testing. DNA samples from same mononuclear cells were subjected to whole exome and transcriptome sequencing and data were analyzed as described previsously2. Hierarchical clustering and non-parametric rank correlation were performed with drugs and samples. Wilcoxon sign ranked test was applied between wild type and mutated samples to identify significant mutation-drug associations. Results Hierarchical clustering was largely independent of clinical features such as disease status or risk class. A strong drug sub-cluster with a unique response profile was composed of that of the MDM2 antagonist idasanutlin along with BCL-2 inhibitors navitoclax and venetoclax (Figure). BET inhibitors (JQ1, I-BET151, birabresib) and MEK inhibitors (trametinib, selumetinib) were positively correlated with each other suggesting an association between bromodomain mediated epigenetic deregulation and up-regulation of the MEK pathway in a subset of patients. Comparison between patient samples profiled in CM (n=77) vs MCM medium (n=77) indicated higher efficacy of MDM2 modulator idasanutlin in MCM while BET inhibitors responded more strongly in CM. Other differences observed earlier by Karjalainen et al1 between the two media types were also validated. Furthermore, 16 chemorefractory and one diagnostic stage patients were treated with the targeted drugs suggested by this ISM approach. We observed complete remission or leukemia free state in 35% (6/17) of the AML patients given tailored treatment in an observational study. The targeted drugs used for clinical translation included ruxolitinib (in n=4 patients), temsirolimus (n=5), trametinib (n=4), sunitinib (n=7), dasatinib (n=7), sorafeninb (n=4), omacetaxine (n=3) and dexamethasone (n=5). Summary This study highlights the potential of individualized systems medicine (ISM) approach in the identification of effective treatment opportunities for individual patients with AML. Identifying molecular markers for ex vivo drug responses can help to assign treatments to the patient subgroups most likely to respond in clinical trials. Figure Figure. Disclosures Heckman: Orion Pharma: Research Funding; Novartis: Research Funding; IMI2 project HARMONY: Research Funding; Pfizer: Research Funding; Celgene: Research Funding. Porkka: Bristol-Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2017
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    detail.hit.zdb_id: 80069-7
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  • 7
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 2163-2163
    Abstract: Introduction Many drug discovery efforts and pharmacogenomic studies are based on testing established cancer cell lines for their sensitivity to a given drug or a panel of drugs. This approach has been criticized due to high selectivity and fast proliferation rate of cancer cell lines. To explore new therapeutic avenues for acute myeloid leukemia (AML) and to compare experimental model systems, we applied high-throughput Drug Sensitivity and Resistance Testing (DSRT) platform with 305 approved and investigational drugs for 28 established AML cell lines and compared their drug responses with our earlier study of 28 ex vivo AML patient samples (Pemovska et al., 2013). We then correlated drug sensitivities with genomic and molecular profiles of the samples. Methods DSRT was carried out with 305 clinical, emerging and experimental drugs and small molecule chemical inhibitors. The drugs were tested at five different concentrations over a 10,000-fold concentration range. Cell viability was measured after 72 hours using Cell Titre Glow assay. IC50 values were calculated with Dotmatics software and drug sensitivity scores (DSS, a modified area under the curve metric) were derived for each drug (Yadav et al., 2014). Nimblegen's SeqCap EZ Designs Comprehensive Cancer Design kit was used to identify mutations from 578 oncogenes in cell lines. Results The 28 established AML cell lines were in general more sensitive to the drugs as compared to the 28 ex vivo patient samples, with some important exceptions. Sensitivity towards many targeted drugs was observed in both AML cell lines and in patient samples. These included inhibitors of MEK (e.g. trametinib in 56% of cell lines and 36% of ex vivo samples), mTOR (e.g. temsirolimus in 42% and 32%) and FLT3 (quizartinib in 28% and 18%). Overall, drug responses between cell lines and ex vivo patient cells in AML showed an overall correlation coefficient of r=0.81. BCL2 inhibitors (venetoclax and navitoclax) showed more sensitivity in ex vivo patient cells than in AML cancer cell lines, whereas responses to anti-mitotic agents (docetaxel, camptothecin, vincristine) showed stronger responses in cell lines (Figure). Only 7% of AML cell lines exhibited responses to a broad-spectrum tyrosine kinase inhibitor dasatinib, in contrast to 36% patient samples. AML cell lines that carried FLT3 mutations showed high sensitivity to FLT3 inhibitors. Similarly, cell lines harbouring mutations in RAS or RAF were strongly sensitive to MEK inhibitors. MEK and FLT3 inhibitor responses were mutually exclusive, indicating alternative pathway dependencies in cell lines. However, these pharmacogenomics correlations were not as clearly seen in the clinical samples. Summary These data revealed a few important differences as well as many similarities between established AML cell lines and primary AML patient samples in terms of their response to a panel of cancer drugs. The hope is that patient-derived primary cells in ex vivo testing predict clinical response better as compared to the established cancer cell lines, which indeed seem to overestimate the likelihood of responses to many drugs. On the other hand, cancer cell line studies may also underestimate the potential of dasatinib and BCL2 inhibitors as emerging AML therapeutics. References 1. Pemovska T, Kontro M, Yadav B, Edgren H, Eldfors S, Szwajda A, et al. Individualized systems medicine strategy to tailor treatments for patients with chemorefractory acute myeloid leukemia. Cancer Discovery. 2013 Dec;3(12):1416-29 2. Yadav B, Pemovska T, Szwajda A, Kulesskiy E, Kontro M, Karjalainen R, et al. Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Scientific reports. 2014;4:5193. Figure: Correlation of average drug responses (n=305) between 28 AML cell lines and 28 AML ex vivo patient samples Figure:. Correlation of average drug responses (n=305) between 28 AML cell lines and 28 AML ex vivo patient samples Disclosures Heckman: Celgene: Research Funding. Porkka:BMS: Honoraria; BMS: Research Funding; Novartis: Honoraria; Novartis: Research Funding; Pfizer: Research Funding. Kallioniemi:Medisapiens: Consultancy, Membership on an entity's Board of Directors or advisory committees.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 8
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 3505-3505
    Abstract: Background: Bone marrow (BM) microenvironment plays an important role in development of drug resistance in acute myeloid leukemia (AML) by supporting survival of therapy resistant leukemic cells that eventually may lead to disease relapse. Consideration of tumor stroma factors is therefore critically important when assessing the efficacy of drugs in the ex vivo drug testing of primary AML cells. To study the effects of tumor stroma factors on the response of AML patient cells ex vivo to a panel of cancer drugs, we evaluated the effects of stroma-derived conditioned medium (CM) on the sensitivity of genomically defined primary AML cells. Methods: Primary AML cells were isolated by Ficoll gradient separation from BM aspirates or peripheral blood of AML patients (n=13). For drug testing, 303 small molecule inhibitors were plated on 384-well plates in 5 different concentrations over a 10,000-fold concentration range. The stromal-cell conditioned medium (CM) was made by culturing human bone marrow (BM) stromal cell line HS-5 (American Type Culture Collection) in RPMI 1640 medium for 3 days. AML cells were added to the plates in either CM diluted with RPMI 1640 medium (25% CM) or in mononuclear cell medium (MCM, Promocell), which was used as the standard medium comparison. Cell viability was measured after 72 h and dose response curves generated for each drug. Drug sensitivity scores (DSS) were calculated as described previously (Yadav et al, 2014). Phosphorylation profiles of 43 proteins were analyzed with a human phospho-kinase array (R & D Systems). In addition, somatic mutations were identified by exome sequencing using DNA from the leukemia cells and matched skin biopsies, while expressed fusion genes were identified by transcriptome sequencing. Results: AML samples with activating mutations to kinases such as FLT3 or PDGFRB exhibited more sensitive ex vivo drug response profiles, particularly to broad-spectrum kinase inhibitors, compared to samples driven by other types of mutations. When the same AML samples were compared between the two conditions, CM or MCM, the drug sensitivities were different for many classes of drugs (Table 1). In CM, samples typically lost sensitivity to many of the tested drugs, such as topoisomerase II inhibitors, BCL2 inhibitors and several other classes of tyrosine kinase inhibitors (TKIs). The loss of TKI sensitivity in CM was particularly striking in the FLT3 and PDGFRB mutated cases. Cluster analysis of overall drug responses for AML samples tested in MCM resulted in a tight group of most TKIs, reflecting their overlapping target profiles. However, when the analysis was applied to responses from the same cells tested in CM, the TKI grouping was more dispersed. Thus, these results indicate that tyrosine kinase signaling is stringently regulated in standard medium, whereas CM helps to support cell survival resulting in lower responses to a range of TKIs. To test this hypothesis, phosphorylation of 43 different kinases was measured with AML samples incubated in either CM or MCM. CM induced phosphorylation of multiple proteins including p38α, HSP27, Src, Lyn, Hck and STAT6 proving the activation of other signaling pathways. Conclusions: Our dataindicate that stromal cell conditioned medium may have prominent effects on ex vivo drug responses of AML cells. BM factors likely provide survival cues that make primary patient-derived AML cells resistant to several targeted agents, such as topoisomerases and TKIs. This underscores the need to develop drug testing methods that take into account tumor-microenvironment interactions. Disclosures Gjertsen: BerGenBio AS: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim : Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Kinn Therapeutics AS: Equity Ownership. Porkka:Bristol-Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Kallioniemi:Medisapiens: Consultancy, Membership on an entity's Board of Directors or advisory committees. Wennerberg:Pfizer: Research Funding. Heckman:Celgene: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 9
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 4711-4711
    Abstract: Introduction The t(5;11)(q35;p15.4) translocation joining the nucleoporin-98 kD (NUP98) and nuclear receptor binding SET domain protein 1 (NSD1) genes is a recurrent chromosomal aberration in pediatric acute myeloid leukemia (AML). The NUP98-NSD1 frequently co-occurs with FLT3-ITD and with high-rates of induction failure. Analyzing primary samples and cell models by high-throughput drug testing, we aimed to identify alternative therapeutic approaches and better understand the impact of the NUP98-NSD1 and FLT3-ITDalterations on drug response. Methods Bone marrow mononuclear cells (BM MNCs) were prepared from 4 samples collected from two NUP98-NSD1, FLT3-ITD AML patients and 10 healthy donors. Experimental cell models included lineage-marker-depleted mouse bone marrow (BM) cells transduced with chimeric NUP98-NSD1 (NN) and FLT3-ITD (F) retroviruses alone and together (NNF),and Ba/F3 and 32D cells transduced with two NUP98-NSD1 transcripts, cloned from patient material. The cells were dispensed on plates containing up to 309 FDA/EMA-approved investigational small molecule inhibitors and chemotherapeutics in five concentrations over a 10,000-fold range. Cell viability was measured after 72h using the CellTiter-Glo® luminescence assay and drug sensitivity scores (DSS) calculated. In patient samples, a select drug sensitivity score (sDSS) was evaluated by subtracting the mean DSS of the healthy samples from the patient DSS, while in cell lines the DSS of mock-transduced parental cell line was substracted from the DSS of the respective experimental model. For evaluating selectively effective drugs, we considered compounds with DSS and sDSS values above 9 and 4, respectively. Results We identified 19 selectively effective drugs in the patient samples. The highest mean sDSS values were seen for pan-BCL-2 inhibitor navitoclax (11,8), the multikinase inhibitor dasatinib (11,0), and the HSP-90 inhibitor tanespimycin (10,3). Amongst the top selective compounds were also the multikinase inhibitor ponatinib and several HDAC-, MEK-, HSP-90, PI3K-, MTOR-inhibitors. Similar to patient samples, mouse BM cells expressing chimeric NUP98-NSD1, and mouse cells (Ba/F3, 32D) expressing a NUP98 exon-12/NSD1 exon-6 fusion had high mean sDSS to BCL-2 inhibitors: navitoclax (13,9), obatoclax (13,4), and venetoclax (9,6). Analyzing the BCL-2 inhibitor sensitive NUP98-NSD1cells, we identified 32 selectively effective drugs. The top 25 drugs included inhibitors of Aurora A, BRAF, VEGFR, MET, IGF1R, WEE-1, and PI3K. Contrary to the NUP98 exon-12/NSD1 exon-6 fusion, the cells (Ba/F3, 32D) expressing NUP98 exon-11/NSD1 exon-6 fusion were unresponsive to BCL-2 inhibitors. From these cells, we found 14 selectively effective drugs, including glucocorticoids, JAK-, PI3K-, MTOR-, and BET-inhibitors. As an indication of functional synergy, the mouse BM cells expressing both NUP98-NSD1 and FLT3-ITD had significantly increased selective sensitivity to non-specific and specific FLT3-inhibitors (N =11) compared to cells expressing FLT3-ITDalone (p = 0.001). The most selectively effective FLT3-inhibitor in the dual positive mouse BM cells was quizartinib (sDSS = 22,8). Based on the initial results, we designed drug combinations for the 72 most effective drugs. Synergy was observed between dasatinib and MEK1/2-, PI3K-, and several receptor tyrosine kinase inhibitors in the NNF expressing mouse BM cells. In vitally frozen primary cells, we observed synergy between dasatinib and BCL-2- (navitoclax), PI3K-, and MTOR-inhibitors (idelalisib, PF-04691502). Conclusions In summary, we identified potential candidate drugs and drug combinations for targeting NUP98-NSD1 and FLT3-ITD expressing cells. The sensitivity of NUP98-NSD1 cells to BCL-2 inhibitors suggests the fusion may induce BCL-2 mediated survival, while the addition of FLT3-ITD confers sensitivity to FLT3 inhibitors. The results also suggest that alternative NUP98-NSD1 transcripts may have different impacts on the drug responses. Finally, our data indicates that FLT3-inhibitors could offer therapeutic advantage to cells with dual NUP98-NSD1 and FLT3-ITD, and support clinical evaluation of FLT3-inhibitors in chemo-resistant t(5;11) positive AML. Disclosures Porkka: Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Heckman:Pfizer: Research Funding; Celgene: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2921-2921
    Abstract: INTRODUCTION Natural killer (NK) cell malignancies are rare aggressive neoplasms that are classified by the WHO as extranodal NK/T-cell lymphoma, nasal type (NKTCL) and aggressive NK-cell leukemia (ANKL). Recently, genome and exome level studies in NKTCL have shed light on the mutational spectrum of the disease. However, somatic mutations in ANKL have not been characterized. Here, we identified somatic mutations in 14 cases of ANKL to further clarify the genetic landscape underlying malignant NK cell proliferation. We compared the discovered variants to those detected in NKTCL to understand whether the two diseases harbor common molecular alterations. Moreover, we used high-throughput drug screening and RNA sequencing on NK cell lines derived from ANKL, NKTCL and other malignant NK cell proliferations to identify therapeutically actionable drivers of malignant NK cell growth. METHODS We performed whole-exome sequencing on genomic DNA extracted from peripheral blood or bone marrow samples of 14 ANKL patients. To compare the mutational profiles in ANKL and NTKCL, we re-analyzed the published whole-exome NKTCL data from Jiang et al. (Nat Genet 2015) using our somatic variant calling pipeline. For profiling of drug responses, we used a high-throughput drug sensitivity and resistance testing (DSRT) platform comprising 461 approved and investigational oncology drugs to screen the ANKL cell lines IMC-1, KHYG-1 and NK-92, NKTCL cell lines NK-YS and SNK-6 as well as DERL-7, KAI3, NKL, YT and IL-2-stimulated NK cells from healthy donors. All drugs were tested in 384-well format in 5 concentrations over a 10,000-fold concentration range for 72 h, cell viability was measured and normalized dose response curve values were used to calculate a drug sensitivity score (DSS) for each drug. Finally, we performed amplicon sequencing of known cancer driver genes and RNA sequencing on the cell lines and healthy NK cells to identify driver mutations and integrate gene expression profiles with drug sensitivity patterns. RESULTS We identified recurrent somatic activating mutations in STAT3 in 21% (3 of 14) of ANKL patients. Other mutated genes included RAS-MAPK pathway molecules (BRAF, NRAS, KRAS), protein phosphatases regulating JAK-STAT and PI3K-AKT-mTOR pathways (PTPRT, PTPRK, INPP5D) as well as several epigenetic modifiers (TET2, ARID2, KDM2B, SETD7, SETD2) and the tumor suppressor TP53. Interestingly, we detected mutations in genes recurrently mutated in NKTCL, such as the RNA helicase DDX3X and the cell surface receptor FAS. Re-analysis of the published NKTCL data revealed a high frequency of missense mutations in receptor type and non-receptor type protein phosphatases (e.g. PTPRC, PTPRR, PTPRT, PTPN1, PTPN2, PTPN3), many of which have established roles as negative regulators of JAK-STAT signaling. These findings potentially expand the subset of NK cell tumors where the JAK-STAT pathway is somatically activated and implicate deregulated JAK-STAT signaling as a major driver in these diseases. The malignant NK cell lines used in drug sensitivity profiling frequently harbored mutations in same genes and pathways, including STAT3 (N=3), STAT5B (N=1), DDX3X (N=2), KRAS (N=1), FAS (N=2) and several epigenetic modifiers, thus validating these cell lines as relevant disease models. The drug sensitivities in NK cell lines showed a high correlation and the cell lines formed a distinct group from other lymphoid and myeloid leukemia cell lines in unsupervised hierarchical clustering, suggesting an NK-cell specific drug response pattern. The most effective targeted drugs across all NK cell lines included HDAC inhibitors, inhibitors of Aurora and Polo-like kinases, JAK inhibitors, HSP inhibitors and CDK inhibitors as well as the Bcl-2 inhibitor navitoclax. Compared to other leukemia and lymphoma cell lines, JAK inhibitors, navitoclax and methotrexate emerged as the most NK-cell specific compounds. CONCLUSIONS Our genetic data demonstrate extensive heterogeneity in the mutational spectrum of ANKL and implicate JAK-STAT and RAS-MAPK signaling as well as disruption of epigenetic modifiers in the disease pathogenesis. Integrated drug sensitivity and gene expression profiling corroborates the JAK-STAT pathway as a major therapeutically actionable driver of malignant NK cell proliferation and identifies other potential novel targeted therapy options such as Bcl-2 inhibition in NK cell malignancies. Disclosures Suzumiya: Chugai: Honoraria, Research Funding; Toyama Chemical: Research Funding; Kyowa Hakko kirin: Research Funding; Astellas: Research Funding; Eisai: Honoraria, Research Funding; Takeda: Honoraria. Ohshima:Chugai: Research Funding, Speakers Bureau; Kyowa Kirin: Research Funding, Speakers Bureau. Mustjoki:Pfizer: Honoraria, Research Funding; Ariad: Research Funding; Novartis: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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