Results 131 to 140 of about 2,285,924 (374)

Association of myelodysplastic syndrome with CD5+, CD23+ monoclonal B-cell lymphocytosis [PDF]

, 2012
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)FADA (Unifesp)Universidade Federal de São Paulo (UNIFESP ...
Chauffaille, Maria de Lourdes Lopes Ferrari, Orfao, Alberto, Sandes, Alex Freire, Silva, Maria Regina Regis, Siufi, Grazziella Curado, Yamamoto, Mihoko   +5 more
core   +5 more sources

Circulating exosomal microRNAs in acquired aplastic anemia and myelodysplastic syndromes

Haematologica, 2018
Exosomal microRNAs modulate cancer cell metabolism and the immune response. Specific exosomal microRNAs have been reported to be reliable biomarkers of several solid and hematologic malignancies.
V. Giudice, L. Banaszak, Fernanda Gutierrez-Rodrigues, S. Kajigaya, Reema Panjwani, Mariam Ibanez, O. Rios, Christopher K. E. Bleck, E. Stempinski, Diego Raffo, D. Townsley, N. Young   +11 more
semanticscholar   +1 more source

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre, Corinna Maier, Jiuhong Zha, Benjamin Engelhardt, Johannes E. Wolff, Sven Mensing   +5 more
wiley   +1 more source

Immunophenotypic analysis of erythroid dysplasia in myelodysplastic syndromes. A report from the IMDSFlow working group

Haematologica, 2017
Current recommendations for diagnosing myelodysplastic syndromes endorse flow cytometry as an informative tool. Most flow cytometry protocols focus on the analysis of progenitor cells and the evaluation of the maturing myelomonocytic lineage.
Theresia M. Westers, Eline M.P. Cremers, Uta Oelschlaegel, Ulrika Johansson, Peter Bettelheim, Sergio Matarraz, Alberto Orfao, Bijan Moshaver, Lisa Eidenschink Brodersen, Michael R. Loken, Denise A. Wells, Dolores Subirá, Matthew Cullen, Jeroen G. te Marvelde, Vincent H.J. van der Velden, Frank W.M.B. Preijers, Sung-Chao Chu, Jean Feuillard, Estelle Guérin, Katherina Psarra, Anna Porwit, Leonie Saft, Robin Ireland, Timothy Milne, Marie C. Béné, Birgit I. Witte, Matteo G. Della Porta, Wolfgang Kern, Arjan A. van de Loosdrecht   +28 more
doaj   +1 more source

The myelodysplastic syndrome. [PDF]

, 1989
D.A.G. Galton
openalex   +1 more source

Characterization and targeting of malignant stem cells in patients with advanced myelodysplastic syndromes

Nature Communications, 2018
Myelodysplastic syndrome (MDS) is a chronic hematologic disorder that frequently evolves to more aggressive stages and in some cases leads to acute myeloid leukemia (AML). MDS arises from mutations in hematopoietic stem cells (HSCs).
Brett M. Stevens, Nabilah Khan, A. D’Alessandro, T. Nemkov, Amanda C. Winters, Courtney L Jones, Wei Zhang, D. Pollyea, C. Jordan   +8 more
semanticscholar   +1 more source

Impact of the degree of anemia on the outcome of patients with myelodysplastic syndrome and its integration into the WHO classification-based Prognostic Scoring System (WPSS)

Haematologica, 2011
Background Anemia is an established negative prognostic factor in myelodysplastic syndromes but the relationship between its degree and clinical outcome is poorly defined.
Luca Malcovati, Matteo G. Della Porta, Corinna Strupp, Ilaria Ambaglio, Andrea Kuendgen, Kathrin Nachtkamp, Erica Travaglino, Rosangela Invernizzi, Cristiana Pascutto, Mario Lazzarino, Ulrich Germing, Mario Cazzola   +11 more
doaj   +1 more source

Bone marrow transplantation for children with myelodysplastic syndromes [PDF]

, 1989
EC Guinan, NJ Tarbell, Ramana Tantravahi, HJ Weinstein   +3 more
openalex   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

Artificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato, Takeshi Goto, Tomoyuki Ohira, Hirotaka Kinoshita, Kugo Kurokawa, Kouhei Naganuma, Chikako Ohminato, Junko Ogasawara, Shingo Hatakeyama, Yoshihiro Sasaki, Kazuyoshi Hirota, Chikara Ohyama   +11 more
wiley   +1 more source

Impact of the International Prognostic Scoring System cytogenetic risk groups on the outcome of patients with primary myelodysplastic syndromes undergoing allogeneic stem cell transplantation from human leukocyte antigen-identical siblings: a retrospective analysis of the European Society for Blood and Marrow Transplantation-Chronic Malignancies Working Party

Haematologica, 2014
Acquired chromosomal abnormalities are important prognostic factors in patients with myelodysplastic syndromes treated with supportive care and with disease-modifying therapeutic interventions, including allogeneic hematopoietic stem cell transplantation.
Francesco Onida, Ronald Brand, Anja van Biezen, Michel Schaap, Peter A. von dem Borne, Johan Maertens, Dietrich W. Beelen, Enric Carreras, Emilio P. Alessandrino, Liisa Volin, Jürgen H.E. Kuball, Angela Figuera, Jorge Sierra, Jürgen Finke, Nicolaus Kröger, Theo de Witte   +15 more
doaj   +1 more source