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Understanding the Key to Targeting the IGF Axis in Cancer: A Biomarker Assessment
Kunal Amratlal Lodhia1, Piyawan Tienchaiananda1, Paul Haluska1
1Department of Oncology, Mayo Clinic , Rochester, MN , USA.
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.
Insights
Targeting type 1 insulin-like growth factor 1 receptor (IGF-1R) has shown promise but faced challenges. Identifying predictive biomarkers is crucial for patient selection and improving therapeutic success in cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Type 1 insulin-like growth factor 1 receptor (IGF-1R) targeted therapies demonstrated preclinical efficacy but failed in late-stage clinical trials.
- Toxicity, notably hyperglycemia, arose from overlapping IGF and insulin signaling pathways, hindering development.
- Limited biopsy samples due to halted clinical trials impede correlative studies for response biomarkers.
Purpose of the Study:
- To review the IGF system and the rationale for targeting IGF signaling in cancer.
- To discuss the potential liabilities and toxicities associated with IGF-targeting strategies.
- To identify and explore potential biomarkers for predicting patient response to IGF-targeted therapies.
Main Methods:
- Literature review of preclinical and clinical studies on IGF-1R targeted therapies.
- Analysis of signaling pathways involved in IGF and insulin systems.
- Exploration of existing and potential predictive biomarkers for IGF-driven tumors.
Main Results:
- Preclinical success of IGF-1R inhibitors has not translated to clinical benefit in unselected patient populations.
- Hyperglycemia is a significant toxicity linked to IGF and insulin pathway crosstalk.
- Lack of predictive biomarkers is a major barrier to identifying patients who would benefit from IGF-targeting agents.
Conclusions:
- Effective targeting of IGF signaling requires overcoming significant liabilities and toxicities.
- Development of robust predictive biomarkers is essential for patient stratification and successful clinical application of IGF-1R inhibitors.
- Future strategies must focus on identifying tumors driven by IGF signaling to improve therapeutic outcomes.
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