Title |
Insulin/IGF-driven cancer cell-stroma crosstalk as a novel therapeutic target in pancreatic cancer
|
---|---|
Published in |
Molecular Cancer, February 2018
|
DOI | 10.1186/s12943-018-0806-0 |
Pubmed ID | |
Authors |
Ayse Ceren Mutgan, H. Erdinc Besikcioglu, Shenghan Wang, Helmut Friess, Güralp O. Ceyhan, Ihsan Ekin Demir |
Abstract |
Pancreatic ductal adenocarcinoma (PDAC) is unrivalled the deadliest gastrointestinal cancer in the western world. There is substantial evidence implying that insulin and insulin-like growth factor (IGF) signaling axis prompt PDAC into an advanced stage by enhancing tumor growth, metastasis and by driving therapy resistance. Numerous efforts have been made to block Insulin/IGF signaling pathway in cancer therapy. However, therapies that target the IGF1 receptor (IGF-1R) and IGF subtypes (IGF-1 and IGF-2) have been repeatedly unsuccessful. This failure may not only be due to the complexity and homology that is shared by Insulin and IGF receptors, but also due to the complex stroma-cancer interactions in the pancreas. Shedding light on the interactions between the endocrine/exocrine pancreas and the stroma in PDAC is likely to steer us toward the development of novel treatments. In this review, we highlight the stroma-derived IGF signaling and IGF-binding proteins as potential novel therapeutic targets in PDAC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 40% |
United Kingdom | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 2 | 40% |
Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 23% |
Researcher | 12 | 14% |
Student > Bachelor | 12 | 14% |
Student > Master | 8 | 9% |
Student > Postgraduate | 4 | 5% |
Other | 11 | 13% |
Unknown | 19 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 23 | 27% |
Medicine and Dentistry | 20 | 23% |
Agricultural and Biological Sciences | 11 | 13% |
Neuroscience | 4 | 5% |
Chemistry | 2 | 2% |
Other | 5 | 6% |
Unknown | 21 | 24% |