50 results on '"Aktas Samur A"'
Search Results
2. In-depth analysis of alternative splicing landscape in multiple myeloma and potential role of dysregulated splicing factors
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Anil Aktas Samur, Mariateresa Fulciniti, Herve Avet-Loiseau, Michael A. Lopez, Sanika Derebail, Jill Corre, Stephane Minvielle, Florence Magrangeas, Philippe Moreau, Kenneth C. Anderson, Giovanni Parmigiani, Mehmet K. Samur, and Nikhil C. Munshi
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Splicing changes are common in cancer and are associated with dysregulated splicing factors. Here, we analyzed RNA-seq data from 323 newly diagnosed multiple myeloma (MM) patients and described the alternative splicing (AS) landscape. We observed a large number of splicing pattern changes in MM cells compared to normal plasma cells (NPC). The most common events were alterations of mutually exclusive exons and exon skipping. Most of these events were observed in the absence of overall changes in gene expression and often impacted the coding potential of the alternatively spliced genes. To understand the molecular mechanisms driving frequent aberrant AS, we investigated 115 splicing factors (SFs) and associated them with the AS events in MM. We observed that ~40% of SFs were dysregulated in MM cells compared to NPC and found a significant enrichment of SRSF1, SRSF9, and PCB1 binding motifs around AS events. Importantly, SRSF1 overexpression was linked with shorter survival in two independent MM datasets and was correlated with the number of AS events, impacting tumor cell proliferation. Together with the observation that MM cells are vulnerable to splicing inhibition, our results may lay the foundation for developing new therapeutic strategies for MM. We have developed a web portal that allows custom alternative splicing event queries by using gene symbols and visualizes AS events in MM and subgroups. Our portals can be accessed at http://rconnect.dfci.harvard.edu/mmsplicing/ and https://rconnect.dfci.harvard.edu/mmleafcutter/ .
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- 2022
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3. High-dose melphalan treatment significantly increases mutational burden at relapse in multiple myeloma
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Samur, Mehmet Kemal, Roncador, Marco, Aktas Samur, Anil, Fulciniti, Mariateresa, Bazarbachi, Abdul Hamid, Szalat, Raphael, Shammas, Masood A., Sperling, Adam S., Richardson, Paul G., Magrangeas, Florence, Minvielle, Stephane, Perrot, Aurore, Corre, Jill, Moreau, Philippe, Thakurta, Anjan, Parmigiani, Giovanni, Anderson, Kenneth C., Avet-Loiseau, Hervé, and Munshi, Nikhil C.
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- 2023
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4. A MIR17HG-derived long noncoding RNA provides an essential chromatin scaffold for protein interaction and myeloma growth
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Morelli, Eugenio, Fulciniti, Mariateresa, Samur, Mehmet K., Ribeiro, Caroline F., Wert-Lamas, Leon, Henninger, Jon E., Gullà, Annamaria, Aktas-Samur, Anil, Todoerti, Katia, Talluri, Srikanth, Park, Woojun D., Federico, Cinzia, Scionti, Francesca, Amodio, Nicola, Bianchi, Giada, Johnstone, Megan, Liu, Na, Gramegna, Doriana, Maisano, Domenico, Russo, Nicola A., Lin, Charles, Tai, Yu-Tzu, Neri, Antonino, Chauhan, Dharminder, Hideshima, Teru, Shammas, Masood A., Tassone, Pierfrancesco, Gryaznov, Sergei, Young, Richard A., Anderson, Kenneth C., Novina, Carl D., Loda, Massimo, and Munshi, Nikhil C.
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- 2023
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5. In-depth analysis of alternative splicing landscape in multiple myeloma and potential role of dysregulated splicing factors
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Aktas Samur, Anil, Fulciniti, Mariateresa, Avet-Loiseau, Herve, Lopez, Michael A., Derebail, Sanika, Corre, Jill, Minvielle, Stephane, Magrangeas, Florence, Moreau, Philippe, Anderson, Kenneth C., Parmigiani, Giovanni, Samur, Mehmet K., and Munshi, Nikhil C.
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- 2022
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6. Biallelic loss of BCMA as a resistance mechanism to CAR T cell therapy in a patient with multiple myeloma
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Mehmet Kemal Samur, Mariateresa Fulciniti, Anil Aktas Samur, Abdul Hamid Bazarbachi, Yu-Tzu Tai, Rao Prabhala, Alejandro Alonso, Adam S. Sperling, Timothy Campbell, Fabio Petrocca, Kristen Hege, Shari Kaiser, Hervé Avet Loiseau, Kenneth C. Anderson, and Nikhil C. Munshi
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Science - Abstract
Relapse following BCMA targeted CAR T-cell therapy is frequently observed in patients with multiple myeloma (MM). Here, by single cell transcriptome profiling on serially collected bone marrow samples, the authors report biallelic loss of BCMA as the mechanism of resistance underlying both relapse and lack of response to a second CAR T infusion in a patient with MM.
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- 2021
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7. Biallelic loss of BCMA as a resistance mechanism to CAR T cell therapy in a patient with multiple myeloma
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Samur, Mehmet Kemal, Fulciniti, Mariateresa, Aktas Samur, Anil, Bazarbachi, Abdul Hamid, Tai, Yu-Tzu, Prabhala, Rao, Alonso, Alejandro, Sperling, Adam S., Campbell, Timothy, Petrocca, Fabio, Hege, Kristen, Kaiser, Shari, Loiseau, Hervé Avet, Anderson, Kenneth C., and Munshi, Nikhil C.
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- 2021
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8. Long intergenic non-coding RNAs have an independent impact on survival in multiple myeloma
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Samur, Mehmet Kemal, Minvielle, Stephane, Gulla, Annamaria, Fulciniti, Mariateresa, Cleynen, Alice, Aktas Samur, Anil, Szalat, Raphael, Shammas, Masood, Magrangeas, Florence, Tai, Yu-Tzu, Auclair, Daniel, Keats, Jonathan, Richardson, Paul, Attal, Michel, Moreau, Philippe, Anderson, Kenneth C., Parmigiani, Giovanni, Avet-Loiseau, Hervé, and Munshi, Nikhil C.
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- 2018
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9. Monoallelic deletion of BCMA is a frequent feature in multiple myeloma
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Samur, Mehmet Kemal, Aktas Samur, Anil, Corre, Jill, Lannes, Romain, Shah, Parth, Anderson, Kenneth, Avet-Loiseau, Hervé, and Munshi, Nikhil
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- 2023
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10. Deciphering the chronology of copy number alterations in Multiple Myeloma
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Aktas Samur, Anil, Minvielle, Stephane, Shammas, Masood, Fulciniti, Mariateresa, Magrangeas, Florence, Richardson, Paul G., Moreau, Philippe, Attal, Michel, Anderson, Kenneth C., Parmigiani, Giovanni, Avet-Loiseau, Hervé, Munshi, Nikhil C., and Samur, Mehmet Kemal
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- 2019
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11. ROBO1 Promotes Homing, Dissemination, and Survival of Multiple Myeloma within the Bone Marrow Microenvironment
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Kenneth C. Anderson, Yawara Kawano, Xinchen Wu, Peter G. Czarnecki, Yu-Tzu Tai, Antonio Sacco, Kenneth Wen, Irene M. Ghobrial, Matthew Ho, Matteo Claudio Da Via, Annamaria Gulla, Tianzeng Chen, Ruben D. Carrasco, Giada Bianchi, Anil Aktas Samur, Maria Moscvin, Niccolo Bolli, Tomasz Sewastianik, Gulden Camci-Unal, and Aldo M. Roccaro
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Stromal cell ,Endothelial Cells ,Bone Marrow Cells ,Nerve Tissue Proteins ,General Medicine ,Biology ,medicine.disease ,In vitro ,Article ,Mice ,medicine.anatomical_structure ,Bone Marrow ,ROBO1 ,Cancer cell ,Tumor Microenvironment ,medicine ,Cancer research ,Animals ,Humans ,Bone marrow ,Receptors, Immunologic ,Signal transduction ,Multiple Myeloma ,Multiple myeloma ,Homing (hematopoietic) - Abstract
The bone marrow (BM) microenvironment actively promotes multiple myeloma pathogenesis, and therapies targeting both cancer cells and the niche are highly effective. We were interested in identifying novel signaling pathways supporting multiple myeloma–BM cross-talk. Mutations in the transmembrane receptor Roundabout 1 (ROBO1) were recently identified in patients with multiple myeloma; however, their functional consequences are uncertain. Through protein structure–function studies, we discovered that ROBO1 is necessary for multiple myeloma adhesion to BM stromal and endothelial cells and that ROBO1 knockout (KO) compromises BM homing and engraftment in a disseminated mouse model. ROBO1 KO significantly decreases multiple myeloma proliferation in vitro and intra- and extramedullary tumor growth in vivo. Mechanistically, the ROBO1 C-terminus is cleaved in a ligand-independent fashion and is sufficient to promote multiple myeloma proliferation. Vice versa, mutants lacking the cytoplasmic domain, including the human-derived G674* truncation, act dominantly negative. Interactomic and RNA-sequencing studies suggest that ROBO1 may be involved in RNA processing, supporting further studies. Significance: ROBO1 is highly expressed in t(4;14) multiple myeloma and supports homing and dissemination to the BM niche. ROBO1 knockout causes reduced tumor growth in intramedullary and extramedullary myeloma animal models, while the ROBO1 C-terminus is cleaved in multiple fragments and it is necessary and sufficient to sustain myeloma proliferation.
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- 2021
12. Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data
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Anil Aktas Samur, Nesil Coskunfirat, and Osman Saka
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Generalized estimating equations ,Generalized linear mixed models ,Longitudinal data ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses. Instead of such conventional approaches, statisticians have started proposing better techniques, such as the Generalized Estimating Equations (GEE) approach and Generalized Linear Mixed Models (GLMM) technique. In this research, we undertook a comparative study of modeling binary repeated responses using an anesthesiology dataset which has 375 patient data with clinical variables. We modeled the relationship between hypotension and age, gender, surgical department, positions of patients during surgery, diastolic blood pressure, pulse, electrocardiography and doses of Marcain-heavy, chirocaine, fentanyl, and midazolam. Moreover, parameter estimates between the GEE and the GLMM were compared. The parameter estimates, except time-after, Marcain-Heavy, and Fentanyl from the GLMM, are larger than those from GEE. The standard errors from the GLMM are larger than those from GEE. GLMM appears to be more suitable approach than the GEE approach for the analysis hypotension during spinal anesthesia.
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- 2014
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13. Biallelic loss of BCMA as a resistance mechanism to CAR T cell therapy in a patient with multiple myeloma
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Kristen Hege, Mehmet Kemal Samur, Yu-Tzu Tai, Rao Prabhala, Anil Aktas Samur, Fabio Petrocca, Abdul Hamid Bazarbachi, Shari Kaiser, Herve Avet Loiseau, Kenneth C. Anderson, Mariateresa Fulciniti, Adam S. Sperling, Alejandro Alonso, Timothy B. Campbell, and Nikhil C. Munshi
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0301 basic medicine ,Cancer microenvironment ,medicine.medical_treatment ,T cell ,Science ,Cell ,General Physics and Astronomy ,Cancer immunotherapy ,Myeloma ,Immunotherapy, Adoptive ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Bone Marrow ,medicine ,Cancer genomics ,Tumor Microenvironment ,Neoplasm ,Humans ,B-Cell Maturation Antigen ,Multiple myeloma ,Alleles ,Tumor microenvironment ,Multidisciplinary ,business.industry ,General Chemistry ,Immunotherapy ,medicine.disease ,Chimeric antigen receptor ,Cancer therapeutic resistance ,030104 developmental biology ,medicine.anatomical_structure ,Drug Resistance, Neoplasm ,030220 oncology & carcinogenesis ,Cancer research ,Clone (B-cell biology) ,business ,Multiple Myeloma - Abstract
BCMA targeting chimeric antigen receptor (CAR) T cell therapy has shown deep and durable responses in multiple myeloma. However, relapse following therapy is frequently observed, and mechanisms of resistance remain ill-defined. Here, we perform single cell genomic characterization of longitudinal samples from a patient who relapsed after initial CAR T cell treatment with lack of response to retreatment. We report selection, following initial CAR T cell infusion, of a clone with biallelic loss of BCMA acquired by deletion of one allele and a mutation that creates an early stop codon on the second allele. This loss leads to lack of CAR T cell proliferation following the second infusion and is reflected by lack of soluble BCMA in patient serum. Our analysis suggests the need for careful detection of BCMA gene alterations in multiple myeloma cells from relapse following CAR T cell therapy., Relapse following BCMA targeted CAR T-cell therapy is frequently observed in patients with multiple myeloma (MM). Here, by single cell transcriptome profiling on serially collected bone marrow samples, the authors report biallelic loss of BCMA as the mechanism of resistance underlying both relapse and lack of response to a second CAR T infusion in a patient with MM.
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- 2021
14. CRISPR-Based Functional Transcriptomics Defines the Tumor-Dependency and Molecular Determinants of Long Noncoding RNAs in Multiple Myeloma
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Morelli, Eugenio, Aktas-Samur, Anil, Maisano, Domenico, Gao, Claire, Liu, Na, Favasuli, Vanessa, Turi, Marcello, Folino, Pietro, Fulciniti, Mariateresa, Gulla, Annamaria, Anderson, Kenneth C., Samur, Mehmet K., and Munshi, Nikhil C
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- 2023
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15. Venetoclax Resistance Results in Broad Resistance to Majority of Anti-MM Agents Due to the Suppression of Apoptosis but Can be Overcome By BCMA-Targeted Immunotherapy
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Fulciniti, Mariateresa, Deng, Shuhui, Dereibal, Sanika, Weiler, Vera Joy, Chatterjee, Madhumouli, Ng Fong, Jessica, Chakraborty, Chandraditya, Prabhala, Rao, Shammas, Masood A., Aktas-Samur, Anil, Samur, Mehmet K., Gulla, Annamaria, Anderson, Kenneth C., and Munshi, Nikhil C
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- 2023
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16. P-355 A novel genomewide RNA-Targeting CRISPR/ Cas13 screen identifies a plasma cell-specific long non-coding RNA (LncRNA) essential for myeloma cell growth
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Maisano, Domenico, Aktas-Samur, Anil, Gao, Claire, Liu, Na, Favasuli, Vanessa, Folino, Pietro, Gulla, Annamaria, Anderson, Kenneth, Novina, Carl, Fulciniti, Mariateresa, Samur, Mehmet, Morelli, Eugenio, and Munshi, Nikhil
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- 2023
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17. P-194 Non-coding RNA LINC01410 interacts with the minichromosome maintenance (MCM) complex and is a dependency in multiple myeloma
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Gramegna, Doriana, Liu, Na, Maisano, Domenico, Ng, Jessica Fong, Schavgoulidze, Anais, Favasuli, Vanessa, Gao, Claire, Aktas-Samur, Anil, Novina, Carl, Gulla, Annamaria, Anderson, Kenneth, Wert-Lamas, Leon, Samur, Mehmet, Morelli, Eugenio, Fulciniti, Mariateresa, and Munshi, Nikhil
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- 2023
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18. Genome-Wide Somatic Alterations in Multiple Myeloma Reveal a Superior Outcome Group
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Stephane Minvielle, Jill Corre, Raphael Szalat, Hervé Avet-Loiseau, Masood A. Shammas, Anjan Thakurta, Anil Aktas Samur, Mehmet Kemal Samur, Paul G. Richardson, Kenneth C. Anderson, Giovanni Parmigiani, Florence Magrangeas, Mariateresa Fulciniti, Nikhil C. Munshi, Tessa Han, Philippe Moreau, Dana-Farber Cancer Institute [Boston], Harvard T.H. Chan School of Public Health, Harvard Medical School [Boston] (HMS), Integrative Oncogenomics of Multiple Myeloma Pathogenesis and Progression (CRCINA-ÉQUIPE 11), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA), Celgene Corporation [Summit, NJ, USA], Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), VA Boston Healthcare System [Boston, MA], Bernardo, Elizabeth, Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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Adult ,Male ,Cancer Research ,Somatic cell ,DNA Mutational Analysis ,MEDLINE ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Bioinformatics ,Genome ,Dexamethasone ,GTP Phosphohydrolases ,Bortezomib ,03 medical and health sciences ,0302 clinical medicine ,INDEL Mutation ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,Antineoplastic Combined Chemotherapy Protocols ,Biomarkers, Tumor ,Hematologic Malignancy ,Humans ,Medicine ,Lenalidomide ,Multiple myeloma ,Aged ,030304 developmental biology ,0303 health sciences ,Whole Genome Sequencing ,business.industry ,Membrane Proteins ,DNA, Neoplasm ,ORIGINAL REPORTS ,Middle Aged ,medicine.disease ,Combined Modality Therapy ,Progression-Free Survival ,3. Good health ,Survival Rate ,Treatment Outcome ,Oncology ,030220 oncology & carcinogenesis ,Female ,Multiple Myeloma ,business ,Stem Cell Transplantation - Abstract
PURPOSE Multiple myeloma (MM) is accompanied by heterogeneous somatic alterations. The overall goal of this study was to describe the genomic landscape of myeloma using deep whole-genome sequencing (WGS) and develop a model that identifies patients with long survival. METHODS We analyzed deep WGS data from 183 newly diagnosed patients with MM treated with lenalidomide, bortezomib, and dexamethasone (RVD) alone or RVD + autologous stem cell transplant (ASCT) in the IFM/DFCI 2009 study (ClinicalTrials.gov identifier: NCT01191060 ). We integrated genomic markers with clinical data. RESULTS We report significant variability in mutational load and processes within MM subgroups. The timeline of observed activation of mutational processes provides the basis for 2 distinct models of acquisition of mutational changes detected at the time of diagnosis of myeloma. Virtually all MM subgroups have activated DNA repair–associated signature as a prominent late mutational process, whereas APOBEC signature targeting C>G is activated in the intermediate phase of disease progression in high-risk MM. Importantly, we identify a genomically defined MM subgroup (17% of newly diagnosed patients) with low DNA damage (low genomic scar score with chromosome 9 gain) and a superior outcome (100% overall survival at 69 months), which was validated in a large independent cohort. This subgroup allowed us to distinguish patients with low- and high-risk hyperdiploid MM and identify patients with prolongation of progression-free survival. Genomic characteristics of this subgroup included lower mutational load with significant contribution from age-related mutations as well as frequent NRAS mutation. Surprisingly, their overall survival was independent of International Staging System and minimal residual disease status. CONCLUSION This is a comprehensive study identifying genomic markers of a good-risk group with prolonged survival. Identification of this patient subgroup will affect future therapeutic algorithms and research planning.
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- 2020
19. Deciphering the chronology of copy number alterations in Multiple Myeloma
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Kenneth C. Anderson, Nikhil C. Munshi, Masood A. Shammas, Michel Attal, Florence Magrangeas, Paul G. Richardson, Mariateresa Fulciniti, Anil Aktas Samur, Mehmet Kemal Samur, Philippe Moreau, Stephane Minvielle, Giovanni Parmigiani, Hervé Avet-Loiseau, Dana-Farber Cancer Institute [Boston], Department of Biostatistics [Boston, MA, USA], Harvard T.H. Chan School of Public Health, Centre de Recherche en Cancérologie Nantes-Angers (CRCNA), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM)-Hôtel-Dieu de Nantes-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Laennec-Centre National de la Recherche Scientifique (CNRS)-Faculté de Médecine d'Angers-Centre hospitalier universitaire de Nantes (CHU Nantes), Department of Medical Oncology [Boston, MA, USA], Harvard Medical School [Boston] (HMS)-Dana-Farber Cancer Institute [Boston], VA Boston Healthcare System, Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de génomique du myélome [IUCT Oncopole, Toulouse], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), This work was supported by Department of Veterans Affairs Merit Review Award I01BX001584-01, NIH grants PO1-155258 and National Cancer Institute Spore 5P50CA100707-13 (N.C.M., M.K.S., K.C.A., H.A.-L., M.F., M.S.), and Leukemia and Lymphoma Society Translational Research Grant (N.C.M., M.S.)., Bernardo, Elizabeth, Pôle Institut Universitaire du Cancer - Oncopole [CHU Toulouse] (Pôle IUC - Oncopole), CHU Toulouse [Toulouse]-Oncopole de Toulouse, CHU Toulouse [Toulouse]-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Toulouse [Toulouse]-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)
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DNA Copy Number Variations ,Chromosomal translocation ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Biology ,lcsh:RC254-282 ,Clonal deletion ,Article ,03 medical and health sciences ,0302 clinical medicine ,Copy Number Alteration ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,immune system diseases ,hemic and lymphatic diseases ,medicine ,Humans ,cardiovascular diseases ,10. No inequality ,Multiple myeloma ,Extramural ,Hematology ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,Multiple Myeloma ,030215 immunology - Abstract
Multiple myeloma (MM) and its precursor condition MGUS are characterized by chromosomal aberrations. Here, we comprehensively characterize the order of occurrence of these complex genomic events underlying MM development using 500 MGUS, and MM samples. We identify hyperdiploid MM (HMM) and non-HMM as genomically distinct entities with different evolution of the copy number alterations. In HMM, gains of 9,15 or 19 are the first and clonal events observed as clonal even at MGUS stage. These events are thus early and may underlie initial transformation of normal plasma cells to MGUS cells. However, CNAs may not be adequate for progression to MM except in 15% of the patients in whom the complex subclonal deletion events are observed in MM but not MGUS. In NHMM, besides the driver translocations, clonal deletion of 13 and 1q gain are early events also observed in MGUS. We combined this information to propose a timeline for copy number alteration.
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- 2019
20. Somatic Changes Prior to the Development of Hyperdiploidy Expose Mutation Accumulation Rate and Activated Processes in Multiple Myeloma
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Smits, Thomas C., Aktas-Samur, Anil, Lannes, Romain, Fulciniti, Mariateresa, Shammas, Masood A., Corre, Jill, Parmigiani, Giovanni, Avet-Loiseau, Herve, Munshi, Nikhil C, and Samur, Mehmet K.
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- 2022
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21. In Multiple Myeloma Patients without Known Cytogenetic Risk Features, Genomic Features Contribute to Early Death Risk at Diagnosis
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Aktas-Samur, Anil, Corre, Jill, Buisson, Laure, Fulciniti, Mariateresa, Anderson, Kenneth C., Samur, Mehmet K., Munshi, Nikhil C, and Avet-Loiseau, Herve
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- 2022
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22. Long Noncoding RNA LINC01410 Interacts with the Minichromosome Maintenance (MCM) Complex to Promote Tumor Cell Growth in Multiple Myeloma
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Gramegna, Doriana, Liu, Na, Yao, Yao, Johnstone, Megan, Maisano, Domenico, Gulla, Annamaria, Aktas-Samur, Anil, Roccaro, Aldo, Samur, Mehmet K., Fulciniti, Mariateresa, Morelli, Eugenio, and Munshi, Nikhil C
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- 2022
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23. Differences in Single Cells between BCMA-Targeting CAR T-Cell Therapy Responders and Non-Responders Reveals Initial Resistance and Acquired Resistance Are Driven By Different Factors
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Samur, Mehmet K., Martin, Nathan, Thompson, Ethan, Fulciniti, Mariateresa, Aktas-Samur, Anil, Kaiser, Shari, and Munshi, Nikhil C
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- 2022
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24. Bioprocessing of MIR17HG Results in Long and Short Noncoding RNAs with Targetable Tumor-Promoting Activity in Multiple Myeloma
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Morelli, Eugenio, Gulla, Annamaria, Liu, Na, Maisano, Domenico, Aktas-Samur, Anil, Amodio, Nicola, Ribeiro, Caroline, Wert-Lamas, Leon, Henninger, Jonathan, Talluri, Srikanth, Johnstone, Megan, Gramegna, Doriana, Vinaixa, Delaney, Neri, Antonino, Chauhan, Dharminder, Hideshima, Teru, Shammas, Masood A., Tassone, Pierfrancesco, Gryaznov, Sergei, Young, Richard A., Anderson, Kenneth C., Novina, Carl D., Loda, Massimo, Fulciniti, Mariateresa, Samur, Mehmet K., and Munshi, Nikhil C
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- 2022
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25. Deciphering the Chronology of Copy Number Alterations in Multiple Myeloma (MM): What Comes First?
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Nikhil C. Munshi, Masood A. Shammas, Anil Aktas Samur, Mehmet Kemal Samur, Hervé Avet-Loiseau, Philippe Moreau, Kenneth C. Anderson, Florence Magrangeas, Mariateresa Fulciniti, Michel Attal, Giovanni Parmigiani, Stephane Minvielle, Integrative Oncogenomics of Multiple Myeloma Pathogenesis and Progression (CRCINA-ÉQUIPE 11), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA), Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), and Bernardo, Elizabeth
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Idiopathic guttate hypomelanosis ,0303 health sciences ,business.industry ,Immunology ,Disease progression ,Chromosomal translocation ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Cell Biology ,Hematology ,medicine.disease ,Biochemistry ,Malignant transformation ,03 medical and health sciences ,0302 clinical medicine ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,Cancer research ,Medicine ,Immunoglobulin heavy chain ,business ,Trisomy ,Multiple myeloma ,Monoclonal gammopathy of undetermined significance ,ComputingMilieux_MISCELLANEOUS ,030304 developmental biology ,030215 immunology - Abstract
Multiple Myeloma (MM) is characterized by genomic heterogeneity with copy number alterations (CNA) as one of the most prominent genomic perturbation. Hyperdiploidy involving chromosomes 3,5,7,9,11,15,19, and 21 is observed in nearly half of the patients, however the chronological sequence of their occurrence during MM development remains unknown. Here, we have acquired one of the largest genomic datasets from 647 patients that combines data from monoclonal gammopathy of undermined significance (MGUS) to newly diagnosed MM (336 newly diagnosed MM, 147 smoldering MM (SMM) and 164 MGUS) to characterize when and in what sequence CNA occurs in MM development. We deduce the order of CNA events by identifying their pattern of clonality basically inferring that clonal genomic change suggest its origin at an earlier stage of the disease. In hyperdiploid MM (HMM), gains in chromosome 19 (95%), 15 (90%) and 9 (90%) are the most frequent events, followed by gains in 5,11,3,7 and 21. Based on the clonality assessment the gain of chromosome 15 is the first and most frequent clonal/near clonal event, observed in 95% of HMM patients followed by Chromosome 9. Surprisingly, although chromosome 19 gain is the most frequent event overall, its clonal occurrence was lower than clonal chromosome 15 gain. More than 96% of HMM samples had concurrent gains in at least 2 of the 3 most frequent chromosomes (9,15 and 19). Moreover, less frequent events such as chromosome 21 gain, 18p gain, and 1q gain showed higher frequency of clonal/near clonal occurrence compared to other events indicating that when these events occur they are early events. Majority of the deletions occur as late subclonal events with few or none observed as clonal events. In the nonhyperdiploid MM (NHMM), del13, gain of 1q and gain of 11 had the highest frequency of clonal occurrence. Most were clonal events signifying its importance in the early stages of the disease. As all MM originates from its precursor conditions, MGUS and SMM, clonal and likely early CNAs in MM, must also exist in MGUS and SMM. So, we next investigated genomic data from SMM and MGUS for the occurrence of clonal events observed in MM. We confirmed same patterns for top MM-related CNA events in SMM and MGUS and observed no significant difference (p=0.1) between the number of events in hyperdiploid groups in MM (median=10, IQR= [8-12]) and SMM (median=9, IQR= [7-11]).To further confirm the analysis, we calculated an average clonality score for each chromosomal alteration using a 1 to 5 clonality index (1 being clonal 5 being low subclonal) in MM, SMM and MGUS and observed that similar clonal trisomies median=5, IQR=[4-6] are observed in both HMM and hyperdiploid MGUS; and that not all trisomies are required or occur at the same time. With occurrence in over 96% of cases trisomy involving chromosome 15 is central to the development of MGUS and later on MM. This is closely followed by trisomy of 9, and 19. Gain of chromosome 21 is also an early event. Major events like deletion 13 and 1q gain occur relatively later than first hyperdiploid events. NHMM on the other hand is well known to have clonal IgH-associated translocation as an initiating feature which is also observed in SMM and MGUS. However, different from HMM, it shows only few CNAs at an early stage and does not accumulate frequent additional alterations. The only exception to this rule is a deletion group observed in HMM, NHMM and SMM but not MGUS. In this deletion in over 10 whole chromosome or its p or q arm are involved as subclonal events. Its absence in MGUS suggests them to be a later event in MM development. On the other hand, number of deletions are observed at the same locations in both hyperdiploid and non-hyperdiploid groups with similar frequency. Moreover, similarity of events in this deletion groups strongly suggest that in sub group of both HMM and NHMM a similar process may be operative to induce such deletions. Our results also highlight that for both HMM and NHMM groups the major copy number events are not adequate for eventual malignant transformation since only a small fraction of MGUS patients progress to MM. Here, we describe the time line of initial copy number alterations observed in MM and confirm their early occurrence using data from a unique early stage plasma cell cases. Similarities between stages show that large scale DNA alterations happen early however some copy number hotspots are enriched over the time which could be important for disease progression. Disclosures Moreau: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Anderson:Bristol Myers Squibb: Consultancy; C4 Therapeutics: Equity Ownership, Other: Scientific founder; Gilead: Membership on an entity's Board of Directors or advisory committees; OncoPep: Equity Ownership, Other: Scientific founder; Millennium Takeda: Consultancy; Celgene: Consultancy. Munshi:OncoPep: Other: Board of director.
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- 2018
26. Long intergenic non-coding RNAs have an independent impact on survival in multiple myeloma
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Kenneth C. Anderson, Jonathan J Keats, Paul G. Richardson, Florence Magrangeas, Mariateresa Fulciniti, Annamaria Gulla, Stephane Minvielle, Yu-Tzu Tai, Giovanni Parmigiani, Philippe Moreau, Mehmet Kemal Samur, Nikhil C. Munshi, Daniel Auclair, Raphael Szalat, Hervé Avet-Loiseau, Michel Attal, Masood A. Shammas, Anil Aktas Samur, Alice Cleynen, Dana-Farber Cancer Institute [Boston, USA], Harvard Medical School [Boston] (HMS), Integrative Oncogenomics of Multiple Myeloma Pathogenesis and Progression (CRCINA-ÉQUIPE 11), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA), Université de Montpellier (UM), Multiple Myeloma Research Foundation [Norwalk, CT, USA], The Translational Genomics Research Institute (TGen), Pôle Institut Universitaire du Cancer - Oncopole [CHU Toulouse] (Pôle IUC - Oncopole), CHU Toulouse [Toulouse]-Oncopole de Toulouse, VA Boston Healthcare System, NIH grants P01-155258 and P50-100707, Department of Veterans Affairs Merit Review Award I01 BX001584-01., Harvard Medical School [Boston] ( HMS ), Integrative oncogenomics of multiple myeloma pathogenesis and progression ( CRCINA - Département NOHMAD - Equipe 11 ), Centre de recherche de Cancérologie et d'Immunologie / Nantes - Angers ( CRCINA ), Université d'Angers ( UA ) -Université de Nantes ( UN ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche en Santé de l'Université de Nantes ( IRS-UN ) -Centre hospitalier universitaire de Nantes ( CHU Nantes ) -Université d'Angers ( UA ) -Université de Nantes ( UN ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche en Santé de l'Université de Nantes ( IRS-UN ) -Centre hospitalier universitaire de Nantes ( CHU Nantes ), Université de Montpellier ( UM ), The Translational Genomics Research Institute - TGen [Phoenix, AZ, USA], Pôle Institut Universitaire du Cancer - Oncopole [CHU Toulouse] ( Pôle IUC - Oncopole ), Centre Hospitalier Universitaire de Toulouse - CHU Toulouse (FRANCE)-Oncopole de Toulouse, Veterans Administration Boston Healthcare System [West Roxbury, MA, USA], Bernardo, Elizabeth, Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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Adult ,Male ,0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Newly diagnosed ,Article ,[ SDV.CAN ] Life Sciences [q-bio]/Cancer ,03 medical and health sciences ,0302 clinical medicine ,Text mining ,Intergenic region ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,Standard Risk ,Internal medicine ,Humans ,Medicine ,Clinical significance ,Multiple myeloma ,Aged ,Framingham Risk Score ,Sequence Analysis, RNA ,business.industry ,Hematology ,Middle Aged ,medicine.disease ,MRD Negative ,3. Good health ,030104 developmental biology ,030220 oncology & carcinogenesis ,Female ,RNA, Long Noncoding ,Multiple Myeloma ,business - Abstract
International audience; Although long intergenic non-coding RNAs (lincRNA) role in various cancers is described, their significance in Multiple Myeloma (MM) remains poorly defined. Here we have studied the lincRNA profile and their clinical impact in MM. We performed RNA-seq on MM cells from 308 newly diagnosed and uniformly treated patients, 16 normal plasma cells and utilized RNA-seq data from 532 newly diagnosed patients from CoMMpass study to analyze for lincRNAs. We observed 869 differentially expressed lincRNAs in MM compared to normal plasma cells. We identified 14 lincRNAs associated with PFS and calculated a risk score to stratify patients. The median PFS between high vs low-risk groups was 17 months vs not-reached (NR); and OS 30 months vs NR, respectively (p < 0.0001 for both). In the independent validation dataset between high and low-risk groups, PFS was 27 vs 42 months (HR 2.06 [1.44−2.96]; p < 0.0005); and 4-year OS 62% vs 86% (HR 2.76 [1.51–5.05]; p < 0.0005) confirming significant clinical relevance of lincRNA in MM. Importantly, lincRNA signature was able to further identify patients with significant differential outcomes within each low and high-risk categories identified using standard risk categorization including cytogenetic/FISH, ISS, and MRD negative or positive. Our results suggest that lincRNAs have an independent effect on MM outcome and provide a rationale to evaluate its molecular and biological impact.
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- 2018
27. Antibiotic treatment outcomes in community-acquired pneumonia
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Grant W. Waterer, Aysin Sakar Coskun, Armagan Hazar, Fatma Tokgöz, Oznur Kilic, Yavuz Havlucu, Abdullah Sayiner, Ugur Bilge, Anil Aktas Samur, Oguz Kilinc, Burcu Celenk, Aykut Cilli, Sezai Tasbakan, Ege Üniversitesi, Department of Pulmonary Medicine, School of Medicine, Akdeniz University, Antalya, Turkey, Department of Pulmonary Medicine, School of Medicine, Ege University, İzmir, Turkey, Department of Pulmonary Medicine, School of Medicine, Celal Bayar University, Manisa, Turkey, Department of Pulmonary Medicine, School of Medicine, Dokuz Eylül University, İzmir, Turkey, Department of Chest Disease, Süreyyapaşa Chest Disease and Thoracic Surgery Training and Research Hospital, İstanbul, Turkey, Department of Biostatistics and Medical Informatics, Akdeniz University, Antalya, Turkey, and University of Western Australia, Crawley, WA, Australia
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0301 basic medicine ,Male ,medicine.medical_specialty ,Antibiotic regimen ,Turkey ,medicine.drug_class ,030106 microbiology ,Treatment outcome ,Antibiotics ,Hospital Departments ,Pneumonia,beta-lactam,fluoroquinolone,macrolide ,beta-Lactams ,Tertiary care ,03 medical and health sciences ,0302 clinical medicine ,Community-acquired pneumonia ,Internal medicine ,medicine ,Humans ,In patient ,030212 general & internal medicine ,Hospital Mortality ,Prospective Studies ,Prospective cohort study ,Aged ,Cerrahi ,Aged, 80 and over ,business.industry ,General Medicine ,Pneumonia ,Length of Stay ,Middle Aged ,medicine.disease ,Hospitals ,Anti-Bacterial Agents ,Community-Acquired Infections ,Streptococcus pneumoniae ,Treatment Outcome ,Pseudomonas aeruginosa ,Drug Therapy, Combination ,Female ,Macrolides ,business ,Fluoroquinolones - Abstract
Background/aim The optimal empiric antibiotic regimen for patients with community-acquired pneumonia (CAP) remains unclear. This study aimed to evaluate the clinical cure rate, mortality, and length of stay among patients hospitalized with community- acquired pneumonia in nonintensive care unit (ICU) wards and treated with a β-lactam, β-lactam and macrolide combination, or a fluoroquinolone. Materials and methods This prospective cohort study was performed using standardized web-based database sheets from January 2009 to September 2013 in nine tertiary care hospitals in Turkey. Results Six hundred and twenty-one consecutive patients were enrolled. A pathogen was identified in 78 (12.6%) patients. The most frequently isolated bacteria were S. pneumoniae (21.8%) and P. aeruginosa (19.2%). The clinical cure rate and length of stay were not different among patients treated with β-lactam, β-lactam and macrolide combination, and fluoroquinolone. Forty-seven patients (9.2%) died during the hospitalization period. There was no difference in survival among the three treatment groups. Conclusion In patients admitted to non-ICU hospital wards for CAP, there was no difference in clinical outcomes between β-lactam, β-lactam and macrolide combination, and fluoroquinolone regimens.
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- 2018
28. ILF2 Is a Regulator of RNA Splicing and DNA Damage Response in 1q21-Amplified Multiple Myeloma
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Han Liang, Paola Storti, Karen Clise-Dwyer, Simona Colla, Matteo Marchesini, Valentina Marchica, Carlos Bueso-Ramos, Naran Bao, Mehmet Kemal Samur, Marianna D'Anca, Chang-Jiun Wu, Yamini Ogoti, Nikhil C. Munshi, Guillermo Garcia-Manero, Antonino Neri, Ronald A. DePinho, Shan Jiang, Nipun A. Mistry, Elena Fiorini, Luigi Nezi, Nicola Giuliani, Giulio Draetta, Hagop M. Kantarjian, Mariateresa Fulciniti, Robert Z. Orlowski, Anil Aktas Samur, Irene Ganan-Gomez, Li Zhang, and Xinxin Peng
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0301 basic medicine ,Genome instability ,Cancer Research ,DNA Repair ,DNA damage ,DNA repair ,RNA Splicing ,Regulator ,Biology ,Article ,03 medical and health sciences ,Splicing factor ,Tumor Cells, Cultured ,Humans ,Homologous Recombination ,Messenger RNA ,Cell Biology ,Splicing Factor U2AF ,Molecular biology ,Cell biology ,030104 developmental biology ,Oncology ,RNA splicing ,Nuclear Factor 45 Protein ,Y-Box-Binding Protein 1 ,Homologous recombination ,Multiple Myeloma ,DNA Damage - Abstract
Summary Amplification of 1q21 occurs in approximately 30% of de novo and 70% of relapsed multiple myeloma (MM) and is correlated with disease progression and drug resistance. Here, we provide evidence that the 1q21 amplification-driven overexpression of ILF2 in MM promotes tolerance of genomic instability and drives resistance to DNA-damaging agents. Mechanistically, elevated ILF2 expression exerts resistance to genotoxic agents by modulating YB-1 nuclear localization and interaction with the splicing factor U2AF65, which promotes mRNA processing and the stabilization of transcripts involved in homologous recombination in response to DNA damage. The intimate link between 1q21-amplified ILF2 and the regulation of RNA splicing of DNA repair genes may be exploited to optimize the use of DNA-damaging agents in patients with high-risk MM.
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- 2017
29. Genome-Wide Somatic Alterations in Multiple Myeloma Reveal a Superior Outcome Group.
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Samur, Mehmet Kemal, Aktas Samur, Anil, Fulciniti, Mariateresa, Szalat, Raphael, Han, Tessa, Shammas, Masood, Richardson, Paul, Magrangeas, Florence, Minvielle, Stephane, Corre, Jill, Moreau, Philippe, Thakurta, Anjan, Anderson, Kenneth C., Parmigiani, Giovanni, Avet-Loiseau, Hervé, and Munshi, Nikhil C.
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- 2020
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30. Genomic and Transcriptomic Characterization of IgM Multiple Myeloma Identifies a Pre-Germinal Center Plasma Cell Disorder with Immature B-Cell Transcription-Factor Signature
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Bazarbachi, Abdul Hamid, Avet-Loiseau, Herve, Hunter, Zachary R, Szalat, Raphael, Aktas-Samur, Anil, Shammas, Masood A., Corre, Jill, Fulciniti, Mariateresa, Anderson, Kenneth, Parmigiani, Giovanni, Treon, Steven, Mohty, Mohamad, Samur, Mehmet K., and Munshi, Nikhil C.
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- 2020
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31. Prevention of Venous Thromboembolism in Patients with Multiple Myeloma Receiving Immunomodulatory Therapy: Real-World Examination of the Impede Study
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Hwang, Grace, Szabatura, Audrea, Leblebjian, Houry, Aktas-Samur, Anil, Laubach, Jacob P., and Parnes, Aric D.
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- 2020
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32. RNA Regulator of Lipogenesis (RROL) Is a Novel Lncrna Mediating Protein-Protein Interaction at Gene Regulatory Loci Driving Lipogenic Programs in Multiple Myeloma
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Morelli, Eugenio, Fulciniti, Mariateresa, Samur, Mehmet K., Ribeiro, Caroline, Wert-Lamas, Leon, Gulla, Annamaria, Aktas-Samur, Anil, Todoerti, Katia, Talluri, Srikanth, Park, Woojun Daniel, Henninger, Jonathan E, Federico, Cinzia, Bianchi, Giada, Scionti, Francesca, Yao, Yao, Amodio, Nicola, Lin, Charles Y, Tai, Yu-Tzu, Tassone, Pierfrancesco, Neri, Antonino, Chauhan, Dharminder, Hideshima, Teru, Young, Richard A., Anderson, Kenneth, Novina, Carl D., Loda, Massimo, and Munshi, Nikhil C.
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- 2020
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33. Activation of the ERK Pathway Drives Acquired Resistance to Venetoclax in MM Cell Models
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Chakraborty, Chandraditya, Xu, Yan, Yao, Yao, Morelli, Eugenio, Aktas-Samur, Anil, Samur, Mehmet Kemal, Fulciniti, Mariateresa, Munshi, Nikhil C., and Anderson, Kenneth
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- 2020
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34. Biallelic Loss of BCMA Triggers Resistance to Anti-BCMA CAR T Cell Therapy in Multiple Myeloma
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Samur, Mehmet K., Fulciniti, Mariateresa, Aktas-Samur, Anil, Bazarbachi, Abdul Hamid, Tai, Yu-Tzu, Campbell, Timothy B., Petrocca, Fabio, Hege, Kristen, Kaiser, Shari, Anderson, Kenneth, and Munshi, Nikhil C.
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- 2020
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35. Atpase Family AAA Domain-Containing Protein 2 (ATAD2) As a Novel Target in Multiple Myeloma
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Potluri, Lakshmi B., Talluri, Srikanth, Buon, Leutz, Samur, Mehmet K., Aktas-Samur, Anil, Shi, Jialan, Chakraborty, Chandraditya, Kumar, Subodh, Prabhala, Rao, Shammas, Masood A., and Munshi, Nikhil C.
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- 2020
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36. Exploring POU2AF1 (BOB-1) Dependency and Transcription Addiction in Multiple Myeloma
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Chyra, Zuzana, Samur, Mehmet Kemal, Aktas-Samur, Anil, Xu, Yan, Morelli, Eugenio, Adamia, Sophia, Park, Woojun D, Charles, Lin, Shammas, Masood A., Hajek, Roman, Fulciniti, Mariateresa, and Munshi, Nikhil C.
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- 2020
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37. Dysregulated Mirnas after Uniform Treatment Predict Outcome of Newly-Diagnosed Multiple Myeloma
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Han, Tessa, Minvielle, Stephane, Aktas Samur, Anil, Fulciniti, Mariateresa, Magrangeas, Florence, Richardson, Paul G., Moreau, Philippe, Attal, Michel, Anderson, Kenneth C., Avet-Loiseau, Hervé, Parmigiani, Giovanni, Samur, Mehmet Kemal, and Munshi, Nikhil C.
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- 2019
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38. Lack of Significant Differences in Somatic Alterations between MGUS, SMM and Symptomatic Multiple Myeloma: A Result from Comprehensive Genomic Profiling Study
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Aktas Samur, Anil, Fulciniti, Mariateresa, Szalat, Raphael, Corre, Jill, Bolli, Niccolo, Moreau, Philippe, Attal, Michel, Anderson, Kenneth C., Parmigiani, Giovanni, Avet-Loiseau, Hervé, Samur, Mehmet Kemal, and Munshi, Nikhil C.
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- 2019
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39. The Landscape of Genome Wide Somatic Alterations Identifies a Good-Risk Group in Newly Diagnosed Multiple Myeloma
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Samur, Mehmet Kemal, Aktas Samur, Anil, Han, Tessa, Roncador, Marco, Fulciniti, Mariateresa, Szalat, Raphael, Shammas, Masood A., Corre, Jill, Richardson, Paul G., Magrangeas, Florence, Minvielle, Stephane, Moreau, Philippe, Attal, Michel, Thakurta, Anjan, Anderson, Kenneth C., Parmigiani, Giovanni, Avet-Loiseau, Herve, and Munshi, Nikhil C.
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- 2019
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40. Dysregulation of Splicing in Multiple Myeloma: The Splicing Factor SRSF1 Supports MM Cell Proliferation Via Splicing Control
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Fulciniti, Mariateresa, Lopez, Michael A, Aktas Samur, Anil, Morelli, Eugenio, Avet-Loiseau, Hervé, Samur, Mehmet Kemal, and Munshi, Nikhil
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- 2018
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41. Deciphering the Chronology of Copy Number Alterations in Multiple Myeloma (MM): What Comes First?
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Aktas Samur, Anil, Samur, Mehmet Kemal, Minvielle, Stephane, Magrangeas, Florence, Shammas, Masood A., Fulciniti, Mariateresa, Attal, Michel, Moreau, Philippe, Anderson, Kenneth, Parmigiani, Giovanni, Avet-Loiseau, Hervé, and Munshi, Nikhil
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- 2018
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42. Community-acquired pneumonia in patients with chronic obstructive pulmonary disease requiring admission to the intensive care unit: Risk factors for mortality
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Aykut Cilli, Hakan Erdem, Zuhal Karakurt, Hulya Turkan, Ozlem Yazicioglu-Mocin, Nalan Adiguzel, Gokay Gungor, Ugur Bilge, Canturk Tasci, Gulden Yilmaz, Oral Oncul, Aygul Dogan-Celik, Ozcan Erdemli, Nefise Oztoprak, Anil Aktas Samur, Yakup Tomak, Tomak, Yakup, Asuman Inan, Burcu Karaboga, Demet Tok, Sibel Temur, Hafize Oksuz, Ozgur Senturk, Unase Buyukkocak, Fatma Yilmaz-Karadag, Dilek Ozcengiz, Ahmet Karakas, Umit Savasci, Aylin Ozgen-Alpaydin, Erol Kilic, Nazif Elaldi, Hayati Bilgic, Maltepe Üniversitesi, Kırıkkale Üniversitesi, Cilli, A., Erdem, H., Karakurt, Z., Turkan, H., Yazicioglu-Mocin, O., Adiguzel, N., Bilgic, H., Yeditepe Üniversitesi, Cilli, A, Erdem, H, Karakurt, Z, Turkan, H, Yazicioglu-Mocin, O, Adiguzel, N, Gungor, G, Bilge, U, Tasci, C, Yilmaz, G, Oncul, O, Dogan-Celik, A, Erdemli, O, Oztoprak, N, Samur, AA, Tomak, Y, Inan, A, Karaboga, B, Tok, D, Temur, S, Oksuz, H, Senturk, O, Buyukkocak, U, Yilmaz-Karadag, F, Ozcengiz, D, Karakas, A, Savasci, U, Ozgen-Alpaydin, A, Kilic, E, Elaldi, N, Bilgic, H, Sakarya Üniversitesi/Tıp Fakültesi/Cerrahi Tıp Bilimleri Bölümü, Tomak, Yakup, [Cilli, Aykut -- Karaboga, Burcu] Akdeniz Univ, Sch Med, Dept Pulm Dis, TR-07058 Antalya, Turkey -- [Erdem, Hakan -- Oncul, Oral] GATA Haydarpasa Training Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Karakurt, Zuhal -- Yazicioglu-Mocin, Ozlem -- Adiguzel, Nalan -- Gungor, Gokay] Sureyyapasa Chest Dis & Thorac Surg Educ & Res Ho, Resp Intens Care Unit, Istanbul, Turkey -- [Turkan, Hulya] GATA Med Acad, Dept Anesthesiol & Reanimat, Ankara, Turkey -- [Bilge, Ugur -- Samur, Anil Aktas] Akdeniz Univ, Sch Med, Dept Biostat & Med Informat, TR-07058 Antalya, Turkey -- [Tasci, Canturk -- Bilgic, Hayati] GATA Med Acad, Dept Pulm Dis, Ankara, Turkey -- [Yilmaz, Gulden] Ankara Univ, Dept Infect Dis & Clin Microbiol, Sch Med, TR-06100 Ankara, Turkey -- [Dogan-Celik, Aygul] Trakya Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Edirne, Turkey -- [Erdemli, Ozcan] Yuksek Ihtisas Training & Res Hosp, Dept Anesthesiol & Reanimat, Ankara, Turkey -- [Oztoprak, Nefise] Antalya Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Antalya, Turkey -- [Tomak, Yakup] Recep Tayyip Erdogan Univ, Sch Med, Dept Anesthesiol & Reanimat, Rize, Turkey -- [Inan, Asuman] Haydarpasa Numune Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Tok, Demet] Celal Bayar Univ, Sch Med, Dept Anesthesiol & Reanimat, Manisa, Turkey -- [Temur, Sibel] Yeditepe Univ, Sch Med, Dept Anesthesiol & Reanimat, Istanbul, Turkey -- [Oksuz, Hafize] Sutcu Imam Univ, Sch Med, Dept Anesthesiol & Reanimat, Kahramanmaras, Turkey -- [Senturk, Ozgur] Maltepe Univ, Sch Med, Dept Anesthesiol & Reanimat, Istanbul, Turkey -- [Buyukkocak, Unase] Kirikkale Univ, Sch Med, Dept Anesthesiol & Reanimat, Kirikkale, Turkey -- [Yilmaz-Karadag, Fatma] Istanbul Medeniyet Univ, Goztepe Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Ozcengiz, Dilek] Cukurova Univ, Dept Anesthesiol & Reanimat, Sch Med, Adana, Turkey -- [Karakas, Ahmet] GATA Med Acad, Dept Infect Dis & Clin Microbiol, Ankara, Turkey -- [Savasci, Umit] Sarikamis Mil Hosp, Dept Infect Dis & Clin Microbiol, Kars, Turkey -- [Ozgen-Alpaydin, Aylin] Dokuz Eylul Univ, Sch Med, Dept Pulm Dis, Izmir, Turkey -- [Kilic, Erol] Kasimpasa Mil Hosp, Dept Pulmonol, Istanbul, Turkey -- [Elaldi, Nazif] Cumhuriyet Univ, Dept Infect Dis & Clin Microbiol, Sch Med, Sivas, Turkey, Gungor, Gokay -- 0000-0003-2294-489X, Elaldi, Nazif -- 0000-0002-9515-770X, Karakas, Ahmet -- 0000-0002-0553-8454, and Çukurova Üniversitesi
- Subjects
Mechanical ventilation ,COPD ,medicine.medical_specialty ,Community-acquired pneumonia ,business.industry ,medicine.medical_treatment ,Odds ratio ,Critical Care and Intensive Care Medicine ,medicine.disease ,Intensive care unit ,Confidence interval ,law.invention ,Pneumonia ,law ,Internal medicine ,General & Internal Medicine ,medicine ,In patient ,business ,Intensive care medicine - Abstract
WOS: 000326945100018, PubMed ID: 24075301, Purpose: The aims of this study are to identify factors predicting mortality in patients with chronic obstructive pulmonary disease (COPD) and community-acquired pneumonia (CAP) requiring intensive care unit (ICU) admission and to examine whether noninvasive ventilation treatment reduces mortality. Materials and Methods: An analysis was performed on data from patients with CAP hospitalized in the ICUs of 19 different hospitals in Turkey between October 2008 and January 2011. Predictors of mortality were assessed by both univariate and multivariate statistical analyses. Results: Two hundred eleven patients with COPD and CAP were included. The overall ICU mortality was 23.9%. Noninvasive ventilation treatment (odds ratio [OR], 0.12; 95% confidence interval [CI], 0.03-0.49; P=.003), hypertension (OR, 0.13; 95% CI, 0.02-0.93; P=.042), bilateral infiltration (OR, 13.92; 95% CI, 2.94-65.84; P=.001), systemic corticosteroid treatment (OR, 0.19; 95% CI, 0.35-0.96; P=.045), length of ICU stay (OR, 0.65; 95% CI, 0.47-0.89; P=.007), and duration of invasive mechanical ventilation (OR, 1.11; 95% CI, 1.01-1.22; P=.032) were independent factors related to mortality. Conclusion: Noninvasive ventilation, hypertension, systemic corticosteroid treatment, and shorter ICU stay are associated with reduced mortality, whereas bilateral infiltration and longer duration of invasive mechanical ventilation are associated with increased risk of mortality in patients with COPD and CAP requiring ICU admission. (C) 2013 Elsevier Inc. All rights reserved.
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- 2013
43. Clonality Analysis Reveals the Order of Acquisition of Copy Number Alterations in Multiple Myeloma
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Aktas Samur, Anil, Samur, Mehmet Kemal, Minvielle, Stephane, Magrangeas, Florence, Tai, Yu-Tzu, Fulciniti, Mariateresa, Richardson, Paul G, Moreau, Philippe, Anderson, Kenneth C, Attal, Michel, Avet-Loiseau, Hervé, and Munshi, Nikhil
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- 2017
- Full Text
- View/download PDF
44. OAB-009: Genome-wide CRISPR interference screen identifies RNA Regulator of Lipogenesis (RROL) as a leading LncRNA dependency in Multiple Myeloma.
- Author
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Morelli, Eugenio, Fulciniti, Mariateresa, Samur, Mehmet K., Ribeiro, Caroline, Wert-Lamas, Leon, Henninger, Jon, Gulla, Annamaria, Aktas-Samur, Anil, Todoerti, Katia, Talluri, Srikanth, Park, Woojun D., Amodio, Nicola, Bianchi, Giada, Lin, Charles, Yu-Tzu Tai, Neri, Antonino, Chauhan, Dharminder, Teru Hideshima, Shammas, Masood, and Tassone, Pierfrancesco
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- 2021
- Full Text
- View/download PDF
45. Community-acquired pneumonia in patients with chronic obstructive pulmonary disease requiring admission to the intensive care unit: Risk factors for mortality.
- Author
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Cilli, Aykut, Erdem, Hakan, Karakurt, Zuhal, Turkan, Hulya, Yazicioglu-Mocin, Ozlem, Adiguzel, Nalan, Gungor, Gokay, Bilge, Ugur, Tasci, Canturk, Yilmaz, Gulden, Oncul, Oral, Dogan-Celik, Aygul, Erdemli, Ozcan, Oztoprak, Nefise, Aktas Samur, Anil, Tomak, Yakup, Inan, Asuman, Karaboga, Burcu, Tok, Demet, and Temur, Sibel
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HOSPITAL admission & discharge ,PATIENTS ,AGE distribution ,CRITICAL care medicine ,INTENSIVE care units ,OBSTRUCTIVE lung diseases ,RISK assessment ,DATA analysis ,COMMUNITY-acquired pneumonia ,DISEASE complications ,DIAGNOSIS - Abstract
Purpose: The aims of this study are to identify factors predicting mortality in patients with chronic obstructive pulmonary disease (COPD) and community-acquired pneumonia (CAP) requiring intensive care unit (ICU) admission and to examine whether noninvasive ventilation treatment reduces mortality. Materials and Methods: An analysis was performed on data from patients with CAP hospitalized in the ICUs of 19 different hospitals in Turkey between October 2008 and January 2011. Predictors of mortality were assessed by both univariate and multivariate statistical analyses. Results: Two hundred eleven patients with COPD and CAP were included. The overall ICU mortality was 23.9%. Noninvasive ventilation treatment (odds ratio [OR], 0.12; 95% confidence interval [CI], 0.03-0.49; P = .003), hypertension (OR, 0.13; 95% CI, 0.02-0.93; P=.042), bilateral infiltration (OR, 13.92; 95% CI, 2.94-65.84; P = .001), systemic corticosteroid treatment (OR, 0.19; 95% CI, 0.35-0.96; P = .045), length of ICU stay (OR, 0.65; 95% CI, 0.47-0.89; P=.007), and duration of invasivemechanical ventilation (OR, 1.11; 95% CI, 1.01-1.22; P= .032) were independent factors related to mortality. [ABSTRACT FROM AUTHOR]
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- 2013
- Full Text
- View/download PDF
46. OAB-043: Progression and probability of progression are driven by different genomic features in precursor conditions in myeloma.
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Aktas-Samur, Anil, Fulciniti, Mariateresa, Derebail, Sanika, Szalat, Raphael, Corre, Jill, Parmigiani, Giovanni, Avet-Loiseau, Hervé, Samur, Mehmet K., and Munshi, Nikhil C.
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- 2021
- Full Text
- View/download PDF
47. OAB-022: Monoallelic deletion of BCMA locus is a frequent feature in MM and is associated with increased genomic loss.
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Samur, Mehmet K., Aktas-Samur, Anil, Lannes, Romain, Corre, Jill, Anderson, Kenneth, Avet-Loiseau, Hervé, and Munshi, Nikhil C.
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- 2021
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- View/download PDF
48. Homocysteine Levels After Nitrous Oxide Anesthesia for Living-Related Donor Renal Transplantation: A Randomized, Controlled, Double-Blind Study.
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Coskunfirat, N., Hadimioglu, N., Ertug, Z., Akbas, H., Davran, F., Ozdemir, B., Aktas Samur, A., and Arici, G.
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- *
KIDNEY disease treatments , *KIDNEY transplantation , *HOMOCYSTEINE , *NITROUS oxide , *ANESTHESIA , *ORGAN donors , *RANDOMIZED controlled trials - Abstract
Background Nitrous oxide anesthesia increases postoperative homocysteine concentrations. Renal transplantation candidates present with higher homocysteine levels than patients with no renal disease. We designed this study to investigate if homocysteine levels are higher in subjects receiving nitrous oxide for renal transplantation compared with subjects undergoing nitrous oxide free anesthesia. Methods Data from 59 patients scheduled for living-related donor renal transplantation surgery were analyzed in this randomized, controlled, blinded, parallel-group, longitudinal trial. Patients were assigned to receive general anesthesia with (flowmeter was set at 2 L/min nitrous oxide and 1 L/min oxygen) or without nitrous oxide (2 L/min air and 1 L/min oxygen). We evaluated levels of total homocysteine and known determinants, including creatinine, folate, vitamin B 12 , albumin, and lipids. We evaluated factor V and von Willebrand factor (vWF) to determine endothelial dysfunction and creatinine kinase myocardial band (CKMB)-mass, troponin T to show myocardial ischemia preoperatively in the holding area (T1), after discontinuation of anesthetic gases (T2), and 24 hours after induction (T3). Results Compared with baseline, homocysteine concentrations significantly decreased both in the nitrous oxide (22.3 ± 16.3 vs 11.8 ± 9.9; P < .00001) and nitrous oxide-free groups (21.5 ± 15.3 vs 8.0 ± 5.7; P < .0001) at postoperative hour 24. The nitrous oxide group had significantly higher mean plasma homocysteine concentrations than the nitrous oxide-free group ( P = .021). The actual homocysteine difference between groups was 3.8 μmol/L. Conclusion This study shows that homocysteine levels markedly decrease within 24 hours after living-related donor kidney transplantation. Patients receiving nitrous oxide have a lesser reduction, but this finding is unlikely to have a clinical relevance. [ABSTRACT FROM AUTHOR]
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- 2015
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49. ILF2 Is a Regulator of RNA Splicing and DNA Damage Response in 1q21-Amplified Multiple Myeloma.
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Marchesini, Matteo, Ogoti, Yamini, Fiorini, Elena, Aktas Samur, Anil, Nezi, Luigi, D'Anca, Marianna, Storti, Paola, Samur, Mehmet Kemal, Ganan-Gomez, Irene, Fulciniti, Maria Teresa, Mistry, Nipun, Jiang, Shan, Bao, Naran, Marchica, Valentina, Neri, Antonino, Bueso-Ramos, Carlos, Wu, Chang-Jiun, Zhang, Li, Liang, Han, and Peng, Xinxin
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- *
INTERLEUKIN-2 , *RNA splicing , *DNA damage , *MULTIPLE myeloma , *DISEASE relapse - Abstract
Summary Amplification of 1q21 occurs in approximately 30% of de novo and 70% of relapsed multiple myeloma (MM) and is correlated with disease progression and drug resistance. Here, we provide evidence that the 1q21 amplification-driven overexpression of ILF2 in MM promotes tolerance of genomic instability and drives resistance to DNA-damaging agents. Mechanistically, elevated ILF2 expression exerts resistance to genotoxic agents by modulating YB-1 nuclear localization and interaction with the splicing factor U2AF65, which promotes mRNA processing and the stabilization of transcripts involved in homologous recombination in response to DNA damage. The intimate link between 1q21-amplified ILF2 and the regulation of RNA splicing of DNA repair genes may be exploited to optimize the use of DNA-damaging agents in patients with high-risk MM. [ABSTRACT FROM AUTHOR]
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- 2017
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50. Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data.
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Aktas Samur A, Coskunfirat N, and Saka O
- Abstract
Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses. Instead of such conventional approaches, statisticians have started proposing better techniques, such as the Generalized Estimating Equations (GEE) approach and Generalized Linear Mixed Models (GLMM) technique. In this research, we undertook a comparative study of modeling binary repeated responses using an anesthesiology dataset which has 375 patient data with clinical variables. We modeled the relationship between hypotension and age, gender, surgical department, positions of patients during surgery, diastolic blood pressure, pulse, electrocardiography and doses of Marcain-heavy, chirocaine, fentanyl, and midazolam. Moreover, parameter estimates between the GEE and the GLMM were compared. The parameter estimates, except time-after, Marcain-Heavy, and Fentanyl from the GLMM, are larger than those from GEE. The standard errors from the GLMM are larger than those from GEE. GLMM appears to be more suitable approach than the GEE approach for the analysis hypotension during spinal anesthesia.
- Published
- 2014
- Full Text
- View/download PDF
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