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Cyfip1 is downregulated in acute lymphoblastic leukemia and may be a potential biomarker in acute lymphoblastic leukemia

Overview of attention for article published in Tumor Biology, January 2016
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Title
Cyfip1 is downregulated in acute lymphoblastic leukemia and may be a potential biomarker in acute lymphoblastic leukemia
Published in
Tumor Biology, January 2016
DOI 10.1007/s13277-016-4786-7
Pubmed ID
Authors

Xu Chen, Lingyan Qin, Ping Li, Wuning Mo

Abstract

The aim of the present study was to analyze the expression of Cyfip1 in acute lymphoblastic leukemia (ALL) and its correlations with clinical pathologic features. A total of 86 ALL samples and 32 normal peripheral blood lymphocyte (PBL) samples were enrolled in our study. mRNA expression of the Cyfip1 was assessed by real-time fluorescent relatively quantitative PCR, and Cyfip1 protein expression was evaluated by Western blot analysis. As a result, both mRNA and protein expression levels of Cyfip1 were significantly lower in ALL patients than those in the control samples (P = 0.025 and 0.000, respectively). Moreover, both mRNA and protein expression of both had an inverse relation with lymph node metastasis (P = 0.015 and 0.007, respectively), In conclusion, detecting mRNA and protein expression of Cyfip1 could provide clinically significant information relevant to diagnosis, progression, and treatment modalities for ALL, and Cyfip1 may serve as a potential biomarker for diagnosis and prognosis in ALL.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Agricultural and Biological Sciences 2 20%
Medicine and Dentistry 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 January 2016.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#335,641
of 399,038 outputs
Outputs of similar age from Tumor Biology
#156
of 268 outputs
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