Literature DB >> 28810819

Low CLL-1 Expression Is a Novel Adverse Predictor in 123 Patients with De Novo CD34+ Acute Myeloid Leukemia.

Yan-Yu Wang1,2,3, Wen-Lian Chen4, Xiang-Qin Weng1, Yan Sheng1, Jing Wu1, Jie Hao2, Zhan-Yun Liu2, Yong-Mei Zhu1, Bing Chen1, Shu-Min Xiong1, Yu Chen1, Qiu-Sheng Chen1, Hui-Ping Sun1, Jun-Min Li1, Jin Wang1.   

Abstract

Recent reports state that C-type lectin-like molecule-1 (CLL-1) in acute myeloid leukemia (AML) is expressed primarily on myeloid cells, but there is still no investigation about its prognostic significance on leukemic blast compartment. Hence, this study aimed to evaluate the prognostic value of CLL-1 in 123 patients with de novo CD34+ Non-M3 AML. Multiparameter flow cytometry was used to assess the expression of CLL-1 on immature compartment in AML and control groups. We found that CLL-1 expression level on blast compartment was closely linked to clinical characteristics, treatment response, and survival outcome of patients. Decreased expression of CLL-1 was observed on immature compartment from AML patients as compared with controls (62.6% vs. 86.5%, P < 0.05). Logistic model exhibited that CLL-1low independently predicted low complete remission rate with an odds ratio of 4.57 (2.53-6.61, P < 0.05). Additionally, CLL-1 expression level at diagnosis was inversely correlated to the residual blast cells (residual leukemia cell) after induction chemotherapy (r = -0.423, P < 0.05). Furthermore, multivariate Cox regression model demonstrated that CLL-1low was still an independent adverse predictor (P < 0.05 for event-free survival, P < 0.05 for overall survival). Notably, CLL-1low was able to discriminate poor survival patients from intermediate- and favorable-risk groups. Taken together, CLL-1 is a novel prognostic predictor that could be exploited to supplement the current AML prognostic risk stratification system, and potentially optimize the clinical management of AML.

Entities:  

Keywords:  a novel adverse predictor; acute myeloid leukemia; low CLL-1 expression

Mesh:

Substances:

Year:  2017        PMID: 28810819      PMCID: PMC5651960          DOI: 10.1089/scd.2016.0310

Source DB:  PubMed          Journal:  Stem Cells Dev        ISSN: 1547-3287            Impact factor:   3.272


  31 in total

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