Literature DB >> 30231330

Acute Myeloid Leukemia: The Good, the Bad, and the Ugly.

Andrew Kuykendall1, Nicolas Duployez1, Nicolas Boissel1, Jeffrey E Lancet1, John S Welch1.   

Abstract

Acute myeloid leukemia (AML) was initially subdivided according to morphology (the French-American-British system), which proved helpful in pathologic categorization. Subsequently, clinical and genomic factors were found to correlate with response to chemotherapy and with overall survival. These included a history of antecedent hematologic disease, a history of chemotherapy or radiation therapy, the presence of various recurrent cytogenetic abnormalities, and, more recently, the presence of specific point mutations. This article reviews the biology and responses of one AML subgroup with consistent response and good outcomes following chemotherapy (core-binding factor leukemia), and two subgroups with persistently bad, and even ugly, outcomes (secondary AML and TP53-mutated AML).

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Year:  2018        PMID: 30231330     DOI: 10.1200/EDBK_199519

Source DB:  PubMed          Journal:  Am Soc Clin Oncol Educ Book        ISSN: 1548-8748


  24 in total

Review 1.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

2.  Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

Authors:  Fan Zhou; Fen Zhou; Mengyi Du; Lin Liu; Tao Guo; Linghui Xia; Runming Jin; Yu Hu; Heng Mei
Journal:  Int J Hematol       Date:  2019-08-22       Impact factor: 2.490

3.  A novel prognostic scoring model for newly diagnosed FLT3-ITD-positive acute myeloid leukemia.

Authors:  Yi Zhang; Bi-De Zhao; Cheng-Cheng Wang; Yun-Gui Wang; Hua-Feng Wang; Jing-Han Wang; Li-Xia Liu; Feng Lou; Shan-Bo Cao; Xiao-Xia Hu; Ai-Jie Huang; Jian-Min Yang; Hai-Tao Meng; Wen-Juan Yu; Hong-Yan Tong; Jian-Min Wang; Jie Jin
Journal:  Am J Cancer Res       Date:  2020-12-01       Impact factor: 6.166

4.  Anlotinib suppresses MLL-rearranged acute myeloid leukemia cell growth by inhibiting SETD1A/AKT-mediated DNA damage response.

Authors:  Jinzhu Chen; Juan Feng; Zhihong Fang; Jing Ye; Qinwei Chen; Qiuling Chen; Kai Chen; Xiaoming Xiong; Guowei Li; Haihan Song; Bing Xu
Journal:  Am J Transl Res       Date:  2021-03-15       Impact factor: 4.060

5.  A real-life overview of a hematopoietic cell transplant program throughout a four-year period, including prospective registry, exclusion causes and final donor selection.

Authors:  R Parody; I Sánchez-Ortega; A Mussetti; B Patiño; M Arnan; H Pomares; E González-Barca; S Mercadal; C Boqué; C Maluquer; I Carro; M Peña; V Clapés; S Verdesoto; G Bustamante; A C Oliveira; C Baca; E Cabezudo; C Talarn; L Escoda; S Ortega; N García; M Isabel González-Medina; Mar Sánchez-Salmerón; C Fusté; J Villa; E Carreras; E Domingo-Domènech; A Sureda
Journal:  Bone Marrow Transplant       Date:  2021-10-28       Impact factor: 5.483

Review 6.  Precision Medicine in Myeloid Malignancies: Hype or Hope?

Authors:  Shristi Upadhyay Banskota; Nabin Khanal; Rosalyn I Marar; Prajwal Dhakal; Vijaya Raj Bhatt
Journal:  Curr Hematol Malig Rep       Date:  2022-08-16       Impact factor: 4.213

7.  Venetoclax and pegcrisantaspase for complex karyotype acute myeloid leukemia.

Authors:  Ashkan Emadi; Bandish Kapadia; Dominique Bollino; Binny Bhandary; Maria R Baer; Sandrine Niyongere; Erin T Strovel; Hannah Kaizer; Elizabeth Chang; Eun Yong Choi; Xinrong Ma; Kayla M Tighe; Brandon Carter-Cooper; Blake S Moses; Curt I Civin; Anup Mahurkar; Amol C Shetty; Ronald B Gartenhaus; Farin Kamangar; Rena G Lapidus
Journal:  Leukemia       Date:  2020-11-16       Impact factor: 11.528

Review 8.  Treatment Strategies for Therapy-related Acute Myeloid Leukemia.

Authors:  Prajwal Dhakal; Bimatshu Pyakuryal; Prasun Pudasainee; Venkat Rajasurya; Krishna Gundabolu; Vijaya Raj Bhatt
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2019-12-24

9.  Development of TP53 mutations over the course of therapy for acute myeloid leukemia.

Authors:  Yasmin Alwash; Joseph D Khoury; Mehrnoosh Tashakori; Rashmi Kanagal-Shamanna; Naval Daver; Farhad Ravandi; Tapan M Kadia; Marina Konopleva; Courtney D Dinardo; Ghayas C Issa; Sanam Loghavi; Koichi Takahashi; Elias Jabbour; Veronica Guerra; Steven Kornblau; Hagop Kantarjian; Nicholas J Short
Journal:  Am J Hematol       Date:  2021-08-19       Impact factor: 13.265

10.  Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Authors:  Hassan Awada; Arda Durmaz; Carmelo Gurnari; Ashwin Kishtagari; Manja Meggendorfer; Cassandra M Kerr; Teodora Kuzmanovic; Jibran Durrani; Jacob Shreve; Yasunobu Nagata; Tomas Radivoyevitch; Anjali S Advani; Farhad Ravandi; Hetty E Carraway; Aziz Nazha; Claudia Haferlach; Yogen Saunthararajah; Jacob Scott; Valeria Visconte; Hagop Kantarjian; Tapan Kadia; Mikkael A Sekeres; Torsten Haferlach; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2021-11-11       Impact factor: 25.476

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