13 results on '"Aziz Nazha"'
Search Results
2. Differences in classification schemata for myelodysplastic/myeloproliferative overlap neoplasms
- Author
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Mrinal M. Patnaik, Amer M. Zeidan, Eric Padron, Uwe Platzbecker, David A. Sallman, Amy E. DeZern, Rafael Bejar, Mikkael Sekeres, Justin Taylor, Richard F. Little, Jan P. Bewersdorf, Tae Kon. Kim, Nina Kim, Christopher S. Hourigan, Matteo G. Dela Porta, Maximilian Stahl, David Steensma, Mina L. Xu, Olatoyosi Odenike, Hetty Carraway, Pierre Fenaux, Aziz Nazha, Rami Komrokji, Sanam Loghavi, Zhuoer Xie, Robert Hasserjian, Michael Savona, and John M. Bennett
- Subjects
Cancer Research ,Myeloproliferative Disorders ,Oncology ,Neoplasms ,Humans ,Hematology ,Myelodysplastic-Myeloproliferative Diseases - Published
- 2022
3. Revised 15-item MDS-specific frailty scale maintains prognostic potential
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Aksharh Kirubananthaan, Mohammad Siddiqui, Bo A Wan, Eve St-Hilaire, Karen W.L. Yee, Anne Parmentier, Versha Banerji, Mary-Margaret Keating, Mitchell Sabloff, Nancy Zhu, Thomas J. Nevill, Rebecca Starkman, Grace Christou, Michelle Geddes, Robert Delage, Aziz Nazha, Shabbir M.H. Alibhai, John M. Storring, Rena Buckstein, Mohamed Elemary, Brian Leber, Alexandre Mamedov, Liying Zhang, April Shamy, Heather A. Leitch, Richard A. Wells, Nicholas Finn, and Lisa Chodirker
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Cancer Research ,Information retrieval ,Frailty ,Scale (ratio) ,business.industry ,MEDLINE ,Hematology ,Prognosis ,Oncology ,Risk Factors ,Myelodysplastic Syndromes ,Humans ,Medicine ,business - Published
- 2020
4. Large granular lymphocytic leukemia coexists with myeloid clones and myelodysplastic syndrome
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Sudipto Mukherjee, Hetty E. Carraway, Vera Adema, Alan E. Lichtin, Bhumika J. Patel, Teodora Kuzmanovic, Yasunobu Nagata, Ashwin Kishtagari, Jaroslaw P. Maciejewski, Sanghee Hong, Yogen Saunthararajah, Aziz Nazha, Valeria Visconte, Hassan Awada, Mikkael A. Sekeres, Cassandra M Kerr, and Jibran Durrani
- Subjects
Aged, 80 and over ,Male ,Cancer Research ,Myeloid ,business.industry ,Extramural ,Cell growth ,T-Lymphocytes ,Large granular lymphocytic leukemia ,Hematology ,Middle Aged ,medicine.disease ,Leukemia, Large Granular Lymphocytic ,Leukemia ,medicine.anatomical_structure ,Oncology ,Myelodysplastic Syndromes ,Cancer research ,Humans ,Medicine ,Female ,Myeloid Cells ,business ,Aged ,Cell Proliferation - Published
- 2019
5. Risk of developing chronic myeloid neoplasms in well-differentiated thyroid cancer patients treated with radioactive iodine
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Christopher Pleyer, Remco J. Molenaar, Jaroslaw P. Maciejewski, Mikkael A. Sekeres, Andrew Godley, Anjali S. Advani, Christian Nasr, Surbhi Sidana, Tomas Radivoyevitch, Sudipto Mukherjee, David J. Adelstein, Hetty E. Carraway, Matt Kalaycio, Dana E. Angelini, Navneet S. Majhail, Aziz Nazha, Aaron T. Gerds, Medical Biology, Graduate School, and CCA - Cancer Treatment and Quality of Life
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0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Myeloid ,medicine.medical_treatment ,Population ,03 medical and health sciences ,0302 clinical medicine ,hemic and lymphatic diseases ,Internal medicine ,Epidemiology ,medicine ,education ,Thyroid cancer ,education.field_of_study ,business.industry ,Myelodysplastic syndromes ,Thyroidectomy ,Hematology ,medicine.disease ,Confidence interval ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Relative risk ,business ,Nuclear medicine - Abstract
Exposure to ionizing radiation increases the risk of myelodysplastic syndromes (MDS) and myeloproliferative neoplasms (MPN), but such risks are not known in well-differentiated thyroid cancer (WDTC) patients treated with radioactive iodine (RAI). A total of 148 215 WDTC patients were identified from Surveillance Epidemiology and End Results (SEER) registries between 1973 and 2014, of whom 54% underwent definitive thyroidectomy and 46% received adjuvant RAI. With a median follow-up of 6.6 years, 77 and 66 WDTC patients developed MDS and MPN, respectively. Excess absolute risks for MDS and MPN from RAI treatment when compared to background rates in the US population were 6.6 and 8.1 cases per 100 000 person-years, respectively. Compared to background population rates, relative risks of developing MDS (3.85 [95% CI, 1.7-7.6]; P=0.0005) and MPN (3.13 [1.1-6.8]; P=0.012) were significantly elevated in the second and third year following adjuvant RAI therapy, but not after thyroidectomy alone. The increased risk was significantly associated with WDTC size >2 cm or regional disease. Development of MDS was associated with shorter median overall survival in WDTC survivors (10.3 vs 22.5 years; P
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- 2017
6. Distinct clinical and biological implications of various DNMT3A mutations in myeloid neoplasms
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Cassandra M. Hirsch, Valeria Visconte, Vera Adema, Suresh Kumar Balasubramanian, Sudipto Mukherjee, Mikkael A. Sekeres, Bartlomiej P Przychodzen, Tomas Radivoyevitch, Taha Bat, Mai Aly, Yasunobu Nagata, Jaroslaw P. Maciejewski, Teodora Kuzmanovic, and Aziz Nazha
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Male ,0301 basic medicine ,Cancer Research ,Myeloid ,Computational biology ,Biology ,Article ,DNA Methyltransferase 3A ,03 medical and health sciences ,0302 clinical medicine ,hemic and lymphatic diseases ,medicine ,Humans ,DNA (Cytosine-5-)-Methyltransferases ,Aged ,Hematology ,Prognosis ,Leukemia, Myeloid, Acute ,stomatognathic diseases ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,Mutation ,embryonic structures ,Female - Abstract
Distinct clinical and biological implications of various DNMT3A mutations in myeloid neoplasms
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- 2017
7. Molecular predictors of response in patients with myeloid neoplasms treated with lenalidomide
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Aziz Nazha, Michael J. Clemente, Vera Adema, Eiju Negoro, Bartlomiej P Przychodzen, Tomas Radivoyevitch, Francesc Sole, Valeria Santini, Jaroslaw P. Maciejewski, Alan F. List, Chantana Polprasert, Hideki Makishima, Kathy L. McGraw, Naoko Hosono, Mikkael A. Sekeres, and Cassandra M. Hirsch
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0301 basic medicine ,Oncology ,Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Myeloid ,Article ,Cohort Studies ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Hematology ,Anesthesiology and Pain Medicine ,hemic and lymphatic diseases ,Internal medicine ,medicine ,Humans ,Immunologic Factors ,Lenalidomide ,Aged ,Aged, 80 and over ,business.industry ,Myelodysplastic syndromes ,Middle Aged ,medicine.disease ,3. Good health ,Lymphoma ,Thalidomide ,stomatognathic diseases ,Haematopoiesis ,Leukemia ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Myelodysplastic Syndromes ,Mutation ,Chromosomes, Human, Pair 5 ,Female ,business ,medicine.drug - Abstract
Molecular predictors of response in patients with myeloid neoplasms treated with lenalidomide
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- 2016
8. Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes
- Author
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Ahmad Zarzour, Tomas Radivoyevitch, Karam Al-Issa, Hetty E. Carraway, Betty K. Hamilton, Anjali S. Advani, Vera Adema, Bartlomiej P Przychodzen, Nour Abuhadra, Aziz Nazha, Mikkael A. Sekeres, Cassandra M. Hirsch, Jaroslaw P. Maciejewski, Aaron T. Gerds, Bhumika J. Patel, and Sudipto Mukherjee
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Adult ,Male ,Oncology ,Cancer Research ,medicine.medical_specialty ,MEDLINE ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Young adult ,Prognostic models ,Aged ,Aged, 80 and over ,business.industry ,Myelodysplastic syndromes ,fungi ,food and beverages ,Hematology ,Middle Aged ,Prognosis ,medicine.disease ,Myelodysplastic Syndromes ,030220 oncology & carcinogenesis ,Mutation ,Mutation (genetic algorithm) ,Leukocytes, Mononuclear ,Predictive power ,Female ,business ,030215 immunology - Abstract
Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes
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- 2017
9. Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides
- Author
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Jaroslaw P. Maciejewski, Hagop M. Kantarjian, G. Garcia-Manero, Katrina Zell, Steven D. Gore, Alan F. List, Amer M. Zeidan, Rami S. Komrokji, Gail J. Roboz, Najla Al Ali, Cassie Zimmerman, Mikkael A. Sekeres, E. Jabbour, David P. Steensma, John Barnard, Aziz Nazha, and Amy E. DeZern
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Male ,Research design ,Oncology ,Cancer Research ,medicine.medical_specialty ,Databases, Factual ,MEDLINE ,Decitabine ,Antineoplastic Agents ,Article ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Humans ,Medicine ,Survival analysis ,Aged ,business.industry ,Myelodysplastic syndromes ,Hematology ,Middle Aged ,Prognosis ,medicine.disease ,Survival Analysis ,Transplantation ,Clinical research ,Research Design ,International Prognostic Scoring System ,Myelodysplastic Syndromes ,030220 oncology & carcinogenesis ,Azacitidine ,Physical therapy ,Female ,business ,Follow-Up Studies ,030215 immunology ,medicine.drug - Abstract
Established prognostic tools in patients with myelodysplastic syndromes (MDS) were largely derived from untreated patient cohorts. Although azanucleosides are standard therapies for higher-risk (HR)-MDS, the relative prognostic performance of existing prognostic tools among patients with HR-MDS receiving azanucleoside therapy is unknown. In the MDS Clinical Research Consortium database, we compared the prognostic utility of the International Prognostic Scoring System (IPSS), revised IPSS (IPSS-R), MD Anderson Prognostic Scoring System (MDAPSS), World Health Organization-based Prognostic Scoring System (WPSS) and the French Prognostic Scoring System (FPSS) among 632 patients who presented with HR-MDS and were treated with azanucleosides as the first-line therapy. Median follow-up from diagnosis was 15.7 months. No prognostic tool predicted the probability of achieving an objective response. Nonetheless, all five tools were associated with overall survival (OS, P = 0.025 for the IPSS, P = 0.011 for WPSS and P < 0.001 for the other three tools). The corrected Akaike Information Criteria, which were used to compare OS with the different prognostic scoring systems as covariates (lower is better) were 4138 (MDAPSS), 4156 (FPSS), 4196 (IPSS-R), 4186 (WPSS) and 4196 (IPSS). Patients in the highest-risk groups of the prognostic tools had a median OS from diagnosis of 11 โ 16 months and should be considered for up-front transplantation or experimental approaches.
- Published
- 2015
10. Comprehensive quantitative proteomic profiling of the pharmacodynamic changes induced by MLN4924 in acute myeloid leukemia cells establishes rationale for its combination with azacitidine
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Jaroslaw P. Maciejewski, Claudia M. Espitia, Anthony Possemato, Hetty E. Carraway, Mikkael A. Sekeres, Steffan T. Nawrocki, Sean A. Beausoleil, Aziz Nazha, Jennifer S. Carew, Yingchun Han, Valeria Visconte, Anjali S. Advani, and Kevin R. Kelly
- Subjects
0301 basic medicine ,Proteomics ,Cancer Research ,azacitidine ,Myeloid ,Azacitidine ,MLN4924 ,Cyclopentanes ,Biology ,acute myeloid leukemia ,Bioinformatics ,Article ,03 medical and health sciences ,0302 clinical medicine ,hemic and lymphatic diseases ,Cell Line, Tumor ,medicine ,Humans ,skin and connective tissue diseases ,Proteomic Profiling ,Myeloid leukemia ,Hematology ,medicine.disease ,3. Good health ,Neoplasm Proteins ,Leukemia ,Leukemia, Myeloid, Acute ,030104 developmental biology ,medicine.anatomical_structure ,Pyrimidines ,Oncology ,030220 oncology & carcinogenesis ,Pharmacodynamics ,proteome profiling ,Cancer research ,sense organs ,medicine.drug - Abstract
Comprehensive quantitative proteomic profiling of the pharmacodynamic changes induced by MLN4924 in acute myeloid leukemia cells establishes rationale for its combination with azacitidine
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- 2015
11. Consequences of mutant TET2 on clonality and subclonal hierarchy
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Manja Meggendorfer, Yihong Guan, Bartlomiej P Przychodzen, Yasunobu Nagata, Mohamad E. Abazeed, Cassandra M. Hirsch, Vera Adema, Mikkael A. Sekeres, Ryszard Olinski, Thomas LaFramboise, Aziz Nazha, Hassan Awada, Kassy Kneen, Valeria Visconte, Jaroslaw P. Maciejewski, Abhinav Goyal, Mohammad Fahad B Asad, Tomas Radivoyevitch, Torsten Haferlach, Babal K. Jha, and Niroshan Nadarajah
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0301 basic medicine ,Adult ,Cancer Research ,Myeloid ,Biology ,medicine.disease_cause ,Somatic evolution in cancer ,Deep sequencing ,Article ,Dioxygenases ,Clonal Evolution ,03 medical and health sciences ,Proto-Oncogene Proteins ,medicine ,Biomarkers, Tumor ,Humans ,Aged ,Genetics ,Aged, 80 and over ,Mutation ,Myelodysplastic syndromes ,Cell Differentiation ,Hematology ,Middle Aged ,medicine.disease ,Prognosis ,Penetrance ,Phenotype ,Clone Cells ,DNA-Binding Proteins ,Gene Expression Regulation, Neoplastic ,Leukemia, Myeloid, Acute ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,Dysplasia ,Case-Control Studies ,Myelodysplastic Syndromes ,Disease Progression ,Follow-Up Studies - Abstract
Somatic mutations in TET2 are common in myelodysplastic syndromes (MDS), myeloproliferative, and overlap syndromes. TET2 mutant (TET2(MT)) clones are also found in asymptomatic elderly individuals, a condition referred to as clonal hematopoiesis of indeterminate potential (CHIP). In various entities of TET2(MT) neoplasia, we examined the phenotype in relation to the strata of TET2 hits within the clonal hierarchy. Using deep sequencing, 1781 mutations were found in 1205 of 4930 patients; 40% of mutant cases were biallelic. Hierarchical analysis revealed that of TET2(MT) cases >40% were ancestral, e.g., representing 8% of MDS. Higher (earlier) TET2 lesion rank within the clonal hierarchy (greater clonal burden) was associated with impaired survival. Moreover, MDS driven by ancestral TET2(MT) is likely derived from TET2(MT) CHIP with a penetrance of ~1%. Following ancestral TET2 mutations, individual disease course is determined by secondary hits. Using multidimensional analyses, we demonstrate how hits following the TET2 founder defect induces phenotypic shifts toward dysplasia, myeloproliferation, or progression to AML. In summary, TET2(MT) CHIP-derived MDS is a subclass of MDS that is distinct from de novo disease.
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- 2017
12. Genomic determinants of chronic myelomonocytic leukemia
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Bartlomiej P Przychodzen, Swapna Thota, A. Morawski, Cassandra M. Hirsch, Valeria Visconte, Tomas Radivoyevitch, Bhumika J. Patel, Caner Saygin, Hetty E. Carraway, Roy Souaid, Hideki Makishima, Seiji Kojima, B. Demarest, Mikkael A. Sekeres, Seishi Ogawa, Aziz Nazha, Michael J. Clemente, Teodora Kuzmanovic, Hirotoshi Sakaguchi, Jaroslaw P. Maciejewski, and Thomas LaFramboise
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0301 basic medicine ,Male ,Cancer Research ,Myeloid ,Karyotype ,Chronic myelomonocytic leukemia ,Gene mutation ,Biology ,Somatic evolution in cancer ,Polymorphism, Single Nucleotide ,Article ,Clonal Evolution ,03 medical and health sciences ,0302 clinical medicine ,Gene Frequency ,hemic and lymphatic diseases ,Exome Sequencing ,medicine ,Humans ,Genetic Predisposition to Disease ,Alleles ,Aged ,Genetics ,Aged, 80 and over ,Chromosome Aberrations ,Comparative Genomic Hybridization ,Juvenile myelomonocytic leukemia ,Myelodysplastic syndromes ,Myeloid leukemia ,Leukemia, Myelomonocytic, Chronic ,Hematology ,Genomics ,Middle Aged ,medicine.disease ,Prognosis ,Leukemia ,030104 developmental biology ,medicine.anatomical_structure ,Cross-Sectional Studies ,Oncology ,030220 oncology & carcinogenesis ,Mutation ,Female ,Genome-Wide Association Study - Abstract
The biology, clinical phenotype and progression rate of chronic myelomonocytic leukemia (CMML) are highly variable due to diverse initiating and secondary clonal genetic events. To determine the effects of molecular features including clonal hierarchy in CMML, we studied whole-exome and targeted next-generation sequencing data from 150 patients with robust clinical and molecular annotation assessed cross-sectionally and at serial time points of disease evolution. To identify molecular lesions unique to CMML, we compared it to the related myeloid neoplasms (N = 586), including juvenile myelomonocytic leukemia, myelodysplastic syndromes (MDS) and primary monocytic acute myeloid leukemia and discerned distinct molecular profiles despite similar pathomorphological features. Within CMML, mutations in certain pathways correlated with clinical classification, for example, proliferative vs dysplastic features. While most CMML patients (59%) had ancestral (dominant/co-dominant) mutations involving TET2, SRSF2 or ASXL1 genes, secondary subclonal hierarchy correlated with clinical phenotypes or outcomes. For example, progression was associated with acquisition of new expanding clones carrying biallelic TET2 mutations or RAS family, or spliceosomal gene mutations. In contrast, dysplastic features correlated with mutations usually encountered in MDS (for example, SF3B1 and U2AF1). Classification of CMML based on hierarchies of ancestral and subclonal mutational events may correlate strongly with clinical features and prognosis.
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- 2017
13. Incorporation of molecular data into the Revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes
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Aziz Nazha, Bhumika J. Patel, Hetty E. Carraway, Sudipto Mukherjee, Jaroslaw P. Maciejewski, Anjali S. Advani, Mayur Narkhede, Mikkael A. Sekeres, Bartlomiej P Przychodzen, Matt Kalaycio, Aaron T. Gerds, David J. Seastone, and Tomas Radivoyevitch
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Oncology ,Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Models, Biological ,Risk Assessment ,Disease course ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Paired samples ,Internal medicine ,medicine ,Humans ,Young adult ,Survival rate ,Aged ,Aged, 80 and over ,Hematology ,business.industry ,Myelodysplastic syndromes ,Middle Aged ,medicine.disease ,Prognosis ,Survival Rate ,International Prognostic Scoring System ,030220 oncology & carcinogenesis ,Myelodysplastic Syndromes ,Cohort ,Mutation ,Physical therapy ,Female ,business ,030215 immunology - Abstract
The Revised International Prognostic Scoring System (IPSS-R) was developed for untreated myelodysplastic syndrome (MDS) patients based on clinical data. We created and validated a new model that incorporates mutational data to improve the predictive capacity of the IPSS-R in treated MDS patients. Clinical and mutational data from treated MDS patients diagnosed between January 2000 and January 2012 were used to develop the new prognostic system. A total of 508 patients were divided into training (n=333) and validation (n=175) cohorts. Independent significant prognostic factors for survival included age, IPSS-R, EZH2, SF3B1 and TP53. Weighted coefficients for each factor were used to build the new linear predictive model, which produced four prognostic groups: low, intermediate-1, intermediate-2 and high with a median overall survival of 37.4, 23.2, 19.9 and 12.2 months, respectively, P
- Published
- 2016
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