Association of CXCR4 Expression and Clinical Outcome in Different Subsets of De Novo Acute Myeloid Leukemia Patients

Rady, Asmhan S; Badawy, Ragia H.; Gamal, Basma M El; Darwish, Amira; Aziz, Rania S. Abdel; Gammal, M. El; Goweda, Reda

doi:10.7754/clin.lab.2019.190725

Cited by 3 publications

(1 citation statement)

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“…Additionally, we have previously suggested that CXCR4 is an independent prognostic factor for AML ( 26 ). The results of a previous report suggested that CXCR4 is expressed in a subset of patients with AML and is associated with poor prognosis, and CXCR4 expression appears to be an independent prognostic factor for reduced survival in a heterogeneous group of patients with AML ( 38 ). However, we did not find any obvious prognostic value of CXCR4 .…”

Section: Discussionmentioning

confidence: 95%

Risk Stratification in Acute Myeloid Leukemia Using CXCR Gene Signatures: A Bioinformatics Analysis

Zhu

Chen

et al. 2020

Front. Oncol.

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The role of CXC chemokine receptors in tumors has been an increasingly researched focus in recent years. However, significant prognostic values of CXCR members in acute myeloid leukemia are yet to be explored profoundly. In this study, we firstly made an analysis of the relationship of CXCR family members and AML using samples from TCGA. Our results suggested that transcriptional expressions of CXCRs serve an important role in AML. CXCR transcript expressions, except CXCR1 expression, were significantly increased in AML. It displayed the expression pattern of CXCR members in different AML subtypes according to FAB classification. The correlations of CXCR transcript expression with different genotypes and karyotypes were also present. High CXCR2 expression was found to have a significantly worse prognosis compared with that of low CXCR2 expression, and CXCR2 was also found to be an independent prognostic factor. We also established a CXCR signature to identify high-risk subgroups of patients with AML. It was an independent prognostic factor and could become a powerful method to predict the survival rate of patients.

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Section: Discussionmentioning

confidence: 95%