Literature DB >> 16923553

Leukocyte count as a predictor of death during remission induction in acute myeloid leukemia.

M J Greenwood1, M D Seftel, C Richardson, D Barbaric, M J Barnett, H Bruyere, D L Forrest, D E Horsman, C Smith, K Song, H J Sutherland, C L Toze, T J Nevill, S H Nantel, D E Hogge.   

Abstract

Acute myeloid leukemia (AML) presenting with a high leukocyte count has been associated with an increase in induction mortality and poor results in a number of other survival measures. However, the level at which an elevated leukocyte count has prognostic significance in AML remains unclear. In this report on a series of 375 adult (non-M3) AML patients undergoing induction chemotherapy at a single institution, leukocyte count analyzed as a continuous variable is shown to be a better predictor of induction death (ID) and overall survival (OS) than a leukocyte count of > or = 100 x 10(9)/L, a value characteristically associated with "hyperleukocytosis" (HL). In this patient cohort, a presenting leukocyte count of > or = 30 x 10(9)/L had high sensitivity and specificity for predicting ID, and both performance status (PS) and leukocyte count more accurately predicted for ID than age. Considering these parameters in newly-diagnosed AML patients may facilitate the development of strategies for reducing induction mortality.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16923553     DOI: 10.1080/10428190600572673

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  16 in total

1.  Predictors and short-term outcomes of hyperleukocytosis in children with acute myeloid leukemia: a report from the Children's Oncology Group.

Authors:  Lillian Sung; Richard Aplenc; Todd A Alonzo; Robert B Gerbing; Alan S Gamis
Journal:  Haematologica       Date:  2012-07-16       Impact factor: 9.941

2.  Outcome of acute myeloid leukemia patients with hyperleukocytosis in Brazil.

Authors:  L C O Oliveira; L G M Romano; B P A Prado-Junior; D T Covas; E M Rego; G C De Santis
Journal:  Med Oncol       Date:  2009-11-25       Impact factor: 3.064

3.  The development and validation of a decision-analytic model representing the full disease course of acute myeloid leukemia.

Authors:  Annemieke Leunis; W Ken Redekop; Kees A G M van Montfort; Bob Löwenberg; Carin A Uyl-de Groot
Journal:  Pharmacoeconomics       Date:  2013-07       Impact factor: 4.981

4.  Intact expression status of RASSF1A in acute myeloid leukemia.

Authors:  Davood Zare-Abdollahi; Shamsi Safari; Abolfazl Movafagh; Mojtaba Ghadiani; Sahand Riazi-Isfahani; Mir Davood Omrani
Journal:  Med Oncol       Date:  2013-11-19       Impact factor: 3.064

5.  FLT3-ITD Mutation and FLT3 Ligand Plasma Level Were Not Associated with One-Year Survival of Indonesian Acute Myeloid Leukemia Patients.

Authors:  Ikhwan Rinaldi; Melva Louisa; Resti Mulya Sari; Elly Arwanih
Journal:  Onco Targets Ther       Date:  2021-02-26       Impact factor: 4.147

6.  Prognostic Relevance of Cytokine Receptor Expression in Acute Myeloid Leukemia: Interleukin-2 Receptor α-Chain (CD25) Expression Predicts a Poor Prognosis.

Authors:  Kazunori Nakase; Kenkichi Kita; Taiichi Kyo; Takanori Ueda; Isao Tanaka; Naoyuki Katayama
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

7.  Update on optimal management of acute myeloid leukemia.

Authors:  Fuad El Rassi; Martha Arellano
Journal:  Clin Med Insights Oncol       Date:  2013-08-12

8.  Role of low dose cytarabine in elderly patients with acute myeloid leukemia: An experience.

Authors:  Yasir Bashir; Sajjad Geelani; Nusrat Bashir; Shabeer A Mir; Mosin Mushtaq; M Aleem Jan; Javid Rasool
Journal:  South Asian J Cancer       Date:  2015 Jan-Mar

9.  Clinical impact of CD200 expression in patients with acute myeloid leukemia and correlation with other molecular prognostic factors.

Authors:  Daniela Damiani; Mario Tiribelli; Donatella Raspadori; Santina Sirianni; Alessia Meneghel; Margherita Cavalllin; Angela Michelutti; Eleonora Toffoletti; Antonella Geromin; Erica Simeone; Monica Bocchia; Renato Fanin
Journal:  Oncotarget       Date:  2015-10-06

10.  Bone Marrow MicroRNA-335 Level Predicts the Chemotherapy Response and Prognosis of Adult Acute Myeloid Leukemia.

Authors:  Li Yingchun; Zhang Rong; Yao Kun; Yang Ying; Liu Zhuogang
Journal:  Medicine (Baltimore)       Date:  2015-08       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.