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MGF 2026-06-22 PubMed

Circulating IGF-I levels linked to increased Multiple Myeloma risk in observational and genetic studies

Circulating levels of insulin-like growth factor I (IGF-I) and risk of multiple myeloma: An observational and Mendelian randomisation study.

Background

The role of insulin-like growth factor I (IGF-I) in cancer development, particularly in Multiple Myeloma (MM), has been a subject of inconsistent findings. IGF-I is a crucial hormone involved in cell growth, proliferation, and survival, often acting through the IGF-1R pathway. While IGF-I is known to influence metabolic health and has been implicated in various cancers, its precise association with MM risk has remained ambiguous. Current standard-of-care for MM focuses on treatment post-diagnosis, highlighting a critical gap in understanding early risk factors and potential preventative strategies. Clarifying IGF-I's contribution could open avenues for risk stratification or early intervention.

Study Design

Researchers investigated the association between total circulating IGF-I concentrations and Multiple Myeloma (MM) risk using a two-pronged approach. First, they analyzed baseline serological data from 444,187 UK Biobank participants, identifying 732 incident MM cases. This observational cohort study measured IGF-I levels and tracked MM incidence. Second, a two-sample Mendelian randomization (MR) analysis was performed. This MR study utilized identified genetic variants associated with circulating total IGF-I and IGF-binding protein 3 (IGFBP-3) from the InterLymph consortium, involving 2434 MM cases and 2567 controls. The primary endpoint for both analyses was the risk of MM, with additional lymphoid neoplasm subtypes included for comparative analysis.

Results

The study found a significant positive association between circulating IGF-I levels and Multiple Myeloma (MM) risk. In the UK Biobank serological analysis, a one standard deviation (SD) increase in IGF-I was associated with an 11% higher risk of MM (Hazard ratio [HR] = 1.11, 95% confidence interval [CI]: 1.01-1.22; p-value = 0.03), with this association being particularly strong closer to diagnosis. The Mendelian randomization (MR) analysis further corroborated these findings, indicating that genetically inferred IGF-I levels were associated with a 27% increased MM risk (odds ratio [OR] = 1.27, 95% CI: 1.05-1.54). This genetic association was specific to MM and not observed with other lymphoid neoplasms (LNs). Genetically inferred IGFBP-3 levels showed no association with any LN evaluated. In a secondary analysis, IGF-I levels were also linked to the risk of chronic lymphocytic leukaemia/small lymphocytic lymphoma (CLL/SLL) in males with higher body mass index, showing a 36% increased risk per one SD increase in obese males (HR = 1.36, 95% CI: 1.14-1.61).

Key Findings

  • Circulating IGF-I levels positively associated with MM risk (HR = 1.11, p = 0.03) in UK Biobank.
  • Genetically inferred IGF-I levels increased MM risk by 27% (OR = 1.27, 95% CI: 1.05-1.54).
  • IGF-I association with MM was specific, not seen with other lymphoid neoplasms.
  • Genetically inferred IGFBP-3 showed no association with any lymphoid neoplasm.
  • Secondary finding: IGF-I linked to CLL/SLL risk in obese males (HR = 1.36, 95% CI: 1.14-1.61).

Why It Matters

This research significantly strengthens the evidence for IGF-I as a contributing factor to Multiple Myeloma (MM) susceptibility, moving beyond inconsistent prior findings. The combined power of large-scale observational data and Mendelian randomization provides a more robust indication of causality. Understanding IGF-I's role in MM risk could inform future screening strategies or lifestyle interventions. For individuals with elevated IGF-I, particularly those with other risk factors, this might suggest a need for closer monitoring or discussions about risk mitigation. While not a direct intervention study, these findings highlight the potential for targeting the IGF-1R pathway in MM prevention or early treatment, building on existing clinical trials exploring IGF-1R inhibitors. Further research is needed to translate these insights into actionable clinical protocols.


igf-i multiple-myeloma mendelian-randomization cohort-study cancer-risk epidemiology
Source: pubmed:41873017 · Ingested 2026-06-22 · Digest: gemini-2.5-flash