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Overexpression of c-kit(CD117), relevant with microvessel density, is an independent survival prognostic factor for patients with HBV-related hepatocellular carcinoma

Overview of attention for article published in OncoTargets and therapy, March 2018
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Title
Overexpression of c-kit(CD117), relevant with microvessel density, is an independent survival prognostic factor for patients with HBV-related hepatocellular carcinoma
Published in
OncoTargets and therapy, March 2018
DOI 10.2147/ott.s157545
Pubmed ID
Authors

Weiwei Yan, Zhenyu Zhu, Fei Pan, Ang Huang, Guang-hai Dai

Abstract

To explore new biomarkers for indicating the recurrence and prognosis in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients after tumor resection, we investigated the expression and prognostic value of c-kit(CD117) in HBV-related HCC. Immunohistochemistry was used to estimate the expression of c-kit(CD117) and CD34 in the liver cancer tissues. The correlations between the expression of these biomarkers and the clinicopathologic characteristics were analyzed. The positive rate of c-kit(CD117) expression in 206 HCC cases was 48.1%, and c-kit expression was significantly related with CD34-positive microvessel density. CD34-microvessel density numbers were much higher in c-kit(+) HCC tissues than in c-kit(-) HCC tissues (44.13±17.01 vs 26.87±13.16, P=0.003). The expression of c-kit was significantly higher in patients with Edmondson grade III-IV (P<0.001) and TNM stage III (P<0.001). Moreover, Kaplan-Meier survival analysis showed that c-kit (P<0.001) expression was correlated with reduced disease-free survival (DFS). Multivariate analysis identified c-kit as an independent poor prognostic factor of DFS in HCC patients (P<0.001). Increased c-kit expression could be considered as an independent unfavorable prognostic factor for predicting DFS in HBV-related HCC patients after surgery. These results could be used to identify patients at a higher risk of early tumor recurrence and poor prognosis.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Researcher 2 15%
Student > Bachelor 1 8%
Lecturer 1 8%
Librarian 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Agricultural and Biological Sciences 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Immunology and Microbiology 1 8%
Other 0 0%
Unknown 4 31%
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 02 June 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,447
of 3,016 outputs
Outputs of similar age
#253,777
of 344,853 outputs
Outputs of similar age from OncoTargets and therapy
#47
of 90 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.