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Emerging role of insulin-like growth factor-binding protein 7 in hepatocellular carcinoma

Overview of attention for article published in Journal of Hepatocellular Carcinoma, March 2014
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Title
Emerging role of insulin-like growth factor-binding protein 7 in hepatocellular carcinoma
Published in
Journal of Hepatocellular Carcinoma, March 2014
DOI 10.2147/jhc.s44460
Pubmed ID
Authors

Maaged Akiel, Devaraja Rajasekaran, Rachel Gredler, Ayesha Siddiq, Jyoti Srivastava, Chadia Robertson, Nidhi Himanshu Jariwala, Paul B Fisher, Devanand Sarkar

Abstract

Hepatocellular carcinoma (HCC) is a vicious and highly vascular cancer with a dismal prognosis. It is a life-threatening illness worldwide that ranks fifth in terms of cancer prevalence and third in cancer deaths. Most patients are diagnosed at an advanced stage by which time conventional therapies are no longer effective. Targeted molecular therapies, such as the multikinase inhibitor sorafenib, provide a modest increase in survival for advanced HCC patients and display significant toxicity. Thus, there is an immense need to identify novel regulators of HCC that might be targeted effectively. The insulin-like growth factor (IGF) axis is commonly abnormal in HCC. Upon activation, the IGF axis controls metabolism, tissue homeostasis, and survival. Insulin-like growth factor-binding protein 7 (IGFBP7) is a secreted protein of a family of low-affinity IGF-binding proteins termed "IGFBP-related proteins" that have been identified as a potential tumor suppressor in HCC. IGFBP7 has been implicated in regulating cellular proliferation, senescence, and angiogenesis. In this review, we provide a comprehensive discussion of the role of IGFBP7 in HCC and the potential use of IGFBP7 as a novel biomarker for drug resistance and as an effective therapeutic strategy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Ph. D. Student 3 15%
Researcher 3 15%
Professor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Agricultural and Biological Sciences 3 15%
Medicine and Dentistry 2 10%
Neuroscience 1 5%
Unknown 8 40%