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Prognostic value of IGF-1R expression in bone and soft tissue sarcomas: a meta-analysis

Overview of attention for article published in OncoTargets and therapy, July 2015
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Title
Prognostic value of IGF-1R expression in bone and soft tissue sarcomas: a meta-analysis
Published in
OncoTargets and therapy, July 2015
DOI 10.2147/ott.s88293
Pubmed ID
Authors

Junbo Liang, Binghao Li, Li Yuan, Zhaoming Ye

Abstract

Accumulated evidence has indicated a correlation between IGF-1R and bone and soft tissue sarcoma (BSTS) progression. However, research on the prognostic role of IGF-1R in sarcomas has revealed very different or even totally opposite results. This meta-analysis aimed to unveil the controversial role IGF-1R plays in predicting the outcome of BSTS patients. We systematically reviewed the evidence for the effect of IGF-1R expression in multiple types of BSTSs, including osteosarcoma, Ewing's sarcoma, synovial sarcoma, liposarcoma, and rhabdomyosarcoma, to elucidate this issue. The prognostic value of IGF-1R expression in BSTS patients was evaluated regarding overall survival, measured by pooled hazard ratios (HRs) with 95% confidence intervals (CIs). Seven studies including 627 patients were enrolled in this meta-analysis. Our results demonstrated that IGF-1R expression was associated with poor outcome in terms of overall survival in BSTS patients (pooled HR =2.15, 95% CI: 1.06-4.38; P=0.03). In subtypes of BSTSs, elevated IGF-1R expression was revealed to be significantly correlated with worse prognosis in osteosarcoma (pooled HR =2.20, 95% CI: 1.59-0.03; P<0.001), while no statistical significance was discovered in Ewing's sarcoma (pooled HR =1.01, 95% CI: 0.45-2.27; P=0.99). Expression of IGF-1R could be a negative prognostic biomarker for patients suffering from BSTSs.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 14%
Student > Postgraduate 3 14%
Researcher 3 14%
Student > Master 2 10%
Student > Bachelor 2 10%
Other 3 14%
Unknown 5 24%
Readers by discipline Count As %
Medicine and Dentistry 9 43%
Agricultural and Biological Sciences 4 19%
Veterinary Science and Veterinary Medicine 1 5%
Unknown 7 33%
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 31 July 2015.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from OncoTargets and therapy
#1,573
of 2,967 outputs
Outputs of similar age
#203,137
of 277,879 outputs
Outputs of similar age from OncoTargets and therapy
#46
of 77 outputs
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