Results 1 to 10 of about 1,255,927 (162)

The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia

Blood, 2016
Daniel A Arber, Attilio Orazi, Robert P Hasserjian   +2 more
exaly   +2 more sources

International Consensus Classification of Myeloid Neoplasms and Acute Leukemia: Integrating Morphological, Clinical, and Genomic Data.

Blood, 2022
The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology.
D. Arber, A. Orazi, R. Hasserjian, M. Borowitz, K. Calvo, H. Kvasnicka, Sa A. Wang, A. Bagg, T. Barbui, S. Branford, C. Bueso-Ramos, J. Cortes, P. Dal Cin, C. Dinardo, H. Dombret, E. Duncavage, B. Ebert, E. Estey, F. Facchetti, K. Foucar, N. Gangat, U. Gianelli, L. Godley, N. Goekbuget, J. Gotlib, E. Hellström-Lindberg, G. Hobbs, R. Hoffman, E. Jabbour, J. Kiladjian, R. Larson, M. L. Le Beau, M. Loh, B. Löwenberg, E. Macintyre, L. Malcovati, C. Mullighan, C. Niemeyer, O. Odenike, S. Ogawa, A. Órfão, E. Papaemmanuil, F. Passamonti, K. Porkka, C. Pui, J. Radich, A. Reiter, M. Rozman, M. Rudelius, M. Savona, C. Schiffer, Annette Schmitt-Graeff, A. Shimamura, J. Sierra, W. Stock, R. Stone, M. Tallman, J. Thiele, H. Tien, A. Tzankov, A. Vannucchi, P. Vyas, A. Wei, O. Weinberg, A. Wierzbowska, M. Cazzola, H. Döhner, A. Tefferi   +67 more
semanticscholar   +1 more source

In vivo imaging enables high resolution preclinical trials on patients' leukemia cells growing in mice. [PDF]

, 2012
Xenograft mouse models represent helpful tools for preclinical studies on human tumors. For modeling the complexity of the human disease, primary tumor cells are by far superior to established cell lines.
Brentjens, Renier J., Castro Alves, Catarina, Ehrhardt, Harald, Farkasova, Katarina, Groiss, Volker, Horstmann, Martin, Jeremias, Irmela, Ogris, Manfred, Quintanilla-Martinez, Leticia, Schneider, Katja, Terziyska, Nadia, Wagner, Ernst, zur Stadt, Udo   +12 more
core   +10 more sources

Venetoclax with azacitidine disrupts energy metabolism and targets leukemia stem cells in patients with acute myeloid leukemia

Nature Medicine, 2018
Daniel A Pollyea, Shanshan Pei, Angelo D'Alessandro   +2 more
exaly   +2 more sources

Azacitidine and Venetoclax in Previously Untreated Acute Myeloid Leukemia.

New England Journal of Medicine, 2020
BACKGROUND Older patients with acute myeloid leukemia (AML) have a dismal prognosis, even after treatment with a hypomethylating agent. Azacitidine added to venetoclax had promising efficacy in a previous phase 1b study.
C. Dinardo, B. Jonas, V. Pullarkat, M. Thirman, Jacqueline S. Garcia, A. Wei, M. Konopleva, H. Döhner, A. Letai, P. Fenaux, E. Koller, V. Havelange, B. Leber, J. Esteve, Jianxiang Wang, V. Pejsa, R. Hájek, K. Porkka, Á. Illés, D. Lavie, R. Lemoli, Kazuhito Yamamoto, S. Yoon, J. Jang, S. Yeh, M. Turgut, W. Hong, Ying Zhou, J. Potluri, K. Pratz   +29 more
semanticscholar   +1 more source

Chronic lymphocytic leukemia: 2022 update on diagnostic and therapeutic procedures

American journal of hematology/oncology, 2021
Chronic lymphocytic leukemia (CLL) is one of the most frequent types of leukemia. It typically occurs in elderly patients and has a highly variable clinical course.
M. Hallek, O. Al-Sawaf
semanticscholar   +1 more source

Acute Myeloid Leukemia

New England Journal of Medicine, 2019
Acute myeloid leukemia (AML) occurs with a frequency of 3.5/1,000,000/year cases. AML patients have an invasion of diseased cells (blasts) medullary insufficiency, microenvironmental dysfunction, defects in the proliferation and function of the remaining
Hartmut Döhner, Daniel J. Weisdorf, Clara D. Bloomfield   +2 more
semanticscholar   +1 more source

Kernel Logistic Regression-linear for Leukemia Classification Using High Dimensional Data [PDF]

, 2009
Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques.
Embong, A. (A), Purnami, S. W. (S), Rahayu, S. P. (S), Zain, J. M. (Jasni)   +3 more
core   +3 more sources

European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia

Leukemia, 2020
The therapeutic landscape of chronic myeloid leukemia (CML) has profoundly changed over the past 7 years. Most patients with chronic phase (CP) now have a normal life expectancy.
A. Hochhaus, M. Baccarani, R. Silver, C. Schiffer, J. Apperley, F. Cervantes, R. Clark, J. Cortes, M. Deininger, F. Guilhot, H. Hjorth-Hansen, T. Hughes, J. Janssen, H. Kantarjian, Dong-Kee Kim, R. Larson, J. Lipton, F. Mahon, J. Mayer, F. Nicolini, D. Niederwieser, F. Pane, J. Radich, D. Réa, J. Richter, G. Rosti, P. Rousselot, G. Saglio, Susanne Saussele, S. Soverini, J. Steegmann, A. Turkina, A. Zaritskey, Ruediger Hehlmann   +33 more
semanticscholar   +1 more source

Rapid and label-free identification of single leukemia cells from blood in a high-density microfluidic trapping array by fluorescence lifetime imaging microscopy. [PDF]

, 2018
The rapid screening and isolation of single leukemia cells from blood has become critical for early leukemia detection and tumor heterogeneity interrogation. However, due to the size overlap between leukemia cells and the more abundant white blood cells (
Digman, Michelle A, Lee, Abraham P, Lee, Do-Hyun, Li, Xuan, Ma, Ning   +4 more
core   +1 more source