Literature DB >> 25542697

The ratio of absolute lymphocyte count at interim of therapy to absolute lymphocyte count at diagnosis predicts survival in childhood B-lineage acute lymphoblastic leukemia.

Yuping Cheng1, Zebin Luo1, Shilong Yang1, Ming Jia1, Haizhao Zhao1, Weiqun Xu1, Yongmin Tang2.   

Abstract

Absolute lymphocyte count (ALC) after therapy has been reported to be an independent prognostic factor for clinical outcome in leukemia. This study mainly analyzed ALC at interim of therapy on day 22 (ALC-22) and the ratio of ALC-22 to ALC at diagnosis (ALC-0) on the impact of survival and the relation of ALC to lymphocyte subsets in 119 pediatric B-lineage acute lymphoblastic leukemia (B-ALL) patients. Univariate analysis revealed that ALC-22/ALC-0 ratio <10% was significantly associated with inferior overall survival (OS) (hazard ratio (HR)=12.24, P=0.0014) and event-free survival (EFS) (HR=3.3, P=0.0046). In multivariate analysis, ALC-22/ALC-0 ratio remained an independent prognostic factor for OS (HR=6.92, P=0.0181) and EFS (HR=2.78, P=0.0329) after adjusting for age, white blood cell (WBC) count and minimal residual disease (MRD) status. A Spearman correlation test showed that CD3+ T cells had a negative correlation with ALC-0 (r=-0.7204, P<0.0001) and a positive correlation with ALC-22 (r=0.5061, P=0.0071). These data suggest that ALC-22/ALC-0 ratio may serve as a more effective biomarker to predict survival in pediatric B-ALL and ALC is mainly associated with CD3+ T cells.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Absolute lymphocyte count; Acute lymphoblastic leukemia; Childhood; Lymphocyte subsets; Prognosis; Ratio

Mesh:

Year:  2014        PMID: 25542697     DOI: 10.1016/j.leukres.2014.11.013

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  1 in total

1.  Absolute Lymphocyte Count (ALC) after Induction Treatment Predicts Survival of Pediatric Patients with Acute Lymphoblastic Leukemia.

Authors:  Tamas Farkas; Judit Müller; Daniel J Erdelyi; Monika Csoka; Gabor T Kovacs
Journal:  Pathol Oncol Res       Date:  2017-01-30       Impact factor: 3.201

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.