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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Understanding the Key to Targeting the IGF Axis in Cancer: A Biomarker Assessment
|
|---|---|
| Published in |
Frontiers in oncology, July 2015
|
| DOI | 10.3389/fonc.2015.00142 |
| Pubmed ID | |
| Authors |
Kunal Amratlal Lodhia, Piyawan Tienchaiananda, Paul Haluska |
| Abstract |
Type 1 insulin like growth factor receptor (IGF-1R) targeted therapies showed compelling pre-clinical evidence; however, to date, this has failed to translate into patient benefit in Phase 2/3 trials in unselected patients. This was further complicated by the toxicity, including hyperglycemia, which largely results from the overlap between IGF and insulin signaling systems and associated feedback mechanisms. This has halted the clinical development of inhibitors targeting IGF signaling, which has limited the availability of biopsy samples for correlative studies to understand biomarkers of response. Indeed, a major factor contributing to lack of clinical benefit of IGF targeting agents has been difficulty in identifying patients with tumors driven by IGF signaling due to the lack of predictive biomarkers. In this review, we will describe the IGF system, rationale for targeting IGF signaling, the potential liabilities of targeting strategies, and potential biomarkers that may improve success. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 9 | 16% |
| Researcher | 8 | 14% |
| Student > Master | 8 | 14% |
| Student > Postgraduate | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 26% |
| Medicine and Dentistry | 14 | 24% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Chemistry | 2 | 3% |
| Linguistics | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 13 | 22% |
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 08 July 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Frontiers in oncology
#11,309
of 22,414 outputs
Outputs of similar age
#201,794
of 276,123 outputs
Outputs of similar age from Frontiers in oncology
#57
of 71 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,414 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.