IGF-1, short for Insulin-like Growth Factor 1, also known as Somatomedin C, is a peptide hormone similar to insulin, secreted by the liver and bound to high-affinity binding proteins in the blood. The gene encoding IGF-1 is IGF1, located on human chromosome 12. The protein structure of IGF-1 consists of 70 amino acids, divided into four regions: A, B, C, and D. The A and B regions correspond to the A chain and B chain of insulin, the C region is an extension peptide, and the D region is the C terminus. IGF-1 binds to the IGF-1 receptor (IGF-1R), activating various signaling pathways, such as PI3K/AKT and MAPK/ERK, regulating cell proliferation, differentiation, migration, apoptosis, and metabolism. IGF-1 plays an important role in normal growth and development, but is also associated with various diseases, especially cancer. IGF-1 is considered to be an important promoter of cancer, promoting tumor cell survival, invasion and metastasis, as well as resistance to chemotherapy and radiotherapy. Therefore, IGF-1 is a potential target for many cancer therapies.
IGF-2, short for Insulin-like Growth Factor 2, also known as Somatomedin A, is a peptide hormone similar to insulin, mainly produced by the placenta during fetal development and by the liver and other tissues in adulthood. The gene encoding IGF-2 is IGF2, located on human chromosome 11. The protein structure of IGF-2 consists of 67 amino acids, divided into four regions: A, B, C and D. The A and B regions correspond to the A chain and B chain of insulin, the C region is an extension peptide, and the D region is the C terminus. IGF-2 binds to IGF-1 receptor (IGF-1R), insulin receptor (IR) or IR/IGF-1R hybrid receptor (IR-A), activating various signaling pathways, such as PI3K/AKT and MAPK/ERK, regulating cell proliferation, differentiation, migration, apoptosis and metabolism. IGF-2 plays a key role in fetal growth and development, but is also associated with various diseases, especially cancer. IGF-2 is considered to be an important driver of cancer, promoting tumor cell growth, angiogenesis and metastasis, as well as escaping immune surveillance and clearance. Therefore, IGF-2 is also a potential target for many cancer therapies.
Fig.1 The IGF bio-regulation system (Creative Biolabs)
Bispecific antibodies targeting IGF-1 and IGF-2 are designed to simultaneously block two important growth factor signaling pathways, thereby achieving a dual strike against cancer cells. These signaling pathways include:
Currently, there are no bispecific antibodies targeting IGF-1 and IGF-2 that have been approved for marketing. However, some bispecific antibodies targeting IGF-1R or IR and other targets have shown efficacy in clinical trials. For example, Xentuzumab (BI 836845) is a bispecific antibody that simultaneously targets IGF-1 and IGF-2, aiming to block their binding to IGF-1R and IR, thereby inhibiting their signaling pathways. BI 836845 is in phase II/III clinical trial in combination with everolimus for the treatment of hormone receptor-positive, HER2-negative breast cancer. LY3127804 is a bispecific antibody that targets IGF-1 and IGF-2, two ligands that bind to IGF-1R and insulin receptor and activate the signaling pathways that promote tumor growth and survival. It is currently in phase I/II clinical trial for patients with various solid tumors who have failed prior therapy.
Table 1. Example of Bispecific Antibodies Targeting IGF-1 and IGF-2
Bispecific Antibody | Developer | Clinical Trial Phase | Indication | Mechanism |
---|---|---|---|---|
Xentuzumab (BI 836845) | Boehringer Ingelheim | II/III | Breast cancer, pancreatic cancer, lung cancer, etc. | Blocking the binding of IGF-1 and IGF-2 to their receptors |
The development of bispecific antibodies targeting IGF-1 and IGF-2 faces some challenges, such as the complexity of the IGF system, the heterogeneity of tumor expression and response, the potential toxicity and immunogenicity, and the optimal dose and schedule. Therefore, more studies are needed to optimize the design, selection, and combination of these agents, as well as to identify the most suitable patient population and biomarkers for their use.
References
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