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PIM-1 mRNA expression is a potential prognostic biomarker in acute myeloid leukemia

Overview of attention for article published in Journal of Translational Medicine, August 2017
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Title
PIM-1 mRNA expression is a potential prognostic biomarker in acute myeloid leukemia
Published in
Journal of Translational Medicine, August 2017
DOI 10.1186/s12967-017-1287-4
Pubmed ID
Authors

Hui Cheng, Chongmei Huang, Xiaoqian Xu, Xiaoxia Hu, Shenglan Gong, Gusheng Tang, Xianmin Song, Weiping Zhang, Jianmin Wang, Li Chen, Jianmin Yang

Abstract

High expression of proviral integration site for Moloney murine leukemia virus-1 (PIM-1), a serine/threonine kinase, is associated with many cancers. The main purpose of this study were to investigate that the correlation between PIM-1 mRNA levels and clinicopathologic features and its clinical significance in acute myeloid leukemia (AML). qRT-PCR was performed for 118 de novo AML and 20 AML complete remission patients and 15 normal individuals. All statistical analysis were performed using Graphpad Prism5 software. We observed that expression of PIM-1 mRNA was higher in AML patients than in healthy individuals and in complete remission AML patients (P = 0.0177). Further, high PIM-1 mRNA levels were more associated with high-risk FLT3+ AML patients than the FLT3- group (P = 0.0001) and were also associated with clinical factors such as risk stratification (P = 0.0029) and vital status (P = 0.0322). Kaplan-Meier survival analysis indicated that PIM-1 mRNA expression correlated with overall survival (OS), disease free survival (DFS), and relapse rate (RR) in AML patients. Most importantly, the high PIM-1-expressing patients took longer to achieve complete remission than the low expression group (P = 0.001). In addition, the complete remission rate was significantly lower in the high PIM-1 group (P = 0.0277) after induction therapy. Above results suggest that PIM-1 mRNA levels may be an independent prognostic factor in AML.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 40%
Researcher 3 30%
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Unspecified 2 20%
Biochemistry, Genetics and Molecular Biology 2 20%
Chemistry 2 20%
Agricultural and Biological Sciences 1 10%
Other 0 0%

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 30 August 2017.
All research outputs
#7,266,855
of 11,676,441 outputs
Outputs from Journal of Translational Medicine
#1,405
of 2,271 outputs
Outputs of similar age
#149,636
of 262,743 outputs
Outputs of similar age from Journal of Translational Medicine
#39
of 51 outputs
Altmetric has tracked 11,676,441 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.