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Article Review – The Proliferating Role of Insulin and Insulin-Like Growth Factors in Cancer

Article Review – The Proliferating Role of Insulin and Insulin-Like Growth Factors in Cancer

by Emily Jane Gallagher, Derek LeRoith

This article is part of Opti Metabolics’ ongoing effort to translate complex metabolic research into clear, practical insights for readers without formal scientific or medical training.

Summary -

This article examines the link between insulin resistance, hyperinsulinemia, and increased cancer risk, particularly in obesity and type 2 diabetes, highlighting the roles of insulin and insulin-like growth factors (IGF-I and IGF-II) in tumor growth. It discusses how these hormones activate signaling pathways that promote cell proliferation and inhibit apoptosis, contributing to cancer development. The findings underscore the importance of managing metabolic health to potentially reduce cancer risk.

Key Takeaways Explained for a Non-Medical Audience

– Epidemiological studies show an increased cancer risk in individuals with type 2 diabetes and obesity, partly due to hyperinsulinemia from insulin resistance.

– Hyperinsulinemia elevates IGF-I expression, which, along with IGF-II, is associated with tumor growth in vitro, animal models, and human studies.

– Insulin binds primarily to insulin receptors (IR-A and IR-B), while IGF-I and IGF-II interact with IGF-I receptors (IGF-IR) and hybrid receptors, influencing tumor development.

– IR-A, more mitogenic than IR-B, is overexpressed in many cancer cells, enhancing insulin’s role in promoting cell proliferation.

– The PI3K/Akt/mTOR pathway, activated by insulin and IGFs, drives protein synthesis and cell growth, contributing to tumorigenesis.

– The Ras/MAPK/ERK pathway, also activated by insulin and IGFs, promotes cell proliferation and survival, further linking these hormones to cancer.

– Loss of tumor suppressor PTEN leads to constitutively active mTOR, enhancing cancer cell resistance to treatments like trastuzumab and tamoxifen.

– Metformin reduces circulating insulin levels by decreasing hepatic gluconeogenesis and activates AMPK, inhibiting mTOR and potentially reducing tumor growth.

– Thiazolidinediones (TZDs) improve insulin sensitivity but show inconsistent anti-neoplastic effects in clinical studies.

– Monoclonal antibodies targeting IGF-I and IGF-II prevent mitogenic signaling through IGF-IR and hybrid receptors, offering potential cancer therapies.

– Tyrosine kinase inhibitors targeting IGF-IR may also affect IR, impacting both mitogenic and metabolic signaling pathways.

– Overexpression of IGF-II due to loss of imprinting is linked to increased tumor development in colon cancer models.

– Animal studies demonstrate that hyperinsulinemia promotes mammary tumor growth, which can be reduced by lowering insulin levels.

– High IGF-IR expression in tumors is associated with resistance to radiotherapy and lower patient survival.

– Insulin and IGFs inhibit hepatic synthesis of sex hormone-binding globulin, increasing sex steroid bioavailability, which may promote breast and endometrial cancer.

Integrated Insights –

The article’s findings align with the Opti Metabolics framework by emphasizing insulin resistance and hyperinsulinemia as key drivers of chronic diseases like cancer, which can be mitigated through metabolic health interventions. Low-carbohydrate or ketogenic diets, which reduce insulin levels, may help address the metabolic dysfunctions highlighted in the article. Targeting insulin and IGF signaling pathways supports the framework’s focus on natural, diet-based strategies to improve metabolic health and prevent disease.

Alignment with Broader Review Content –

– The article supports the view that insulin resistance, driven by excessive carbohydrate intake, underlies chronic conditions like cancer by promoting hyperinsulinemia and IGF activity.

– It highlights the role of inflammation and metabolic stress in cancer, consistent with concerns about omega-6-rich seed oils exacerbating these conditions.

– The potential of metformin and TZDs to improve insulin sensitivity aligns with Opti Metabolics’ emphasis on dietary interventions to enhance metabolic health and reduce disease risk.

Reviewed and interpreted by the Opti Metabolics editorial team, with a focus on early metabolic risk detection and prevention.

Read the article to learn more: The Proliferating Role of Insulin and Insulin-Like Growth Factors in Cancer

Health & Medical Disclaimer –

Opti Metabolics does not provide medical diagnosis, treatment, or advice. Our program is for educational and informational purposes only and does not represent medical advice or the practice of medicine. These article summaries are intended to help readers understand metabolic health research and emerging scientific findings, but personal health decisions should always be made in consultation with a qualified healthcare provider.

Participants are strongly advised to consult their personal healthcare professional before making any dietary, lifestyle, or medication changes.

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Opti Metabolics provides informational health insights and does not dispense medical advice, diagnose, treat, or cure any medical conditions. Always consult a qualified healthcare professional before making any health-related decisions.

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Metabolic Snapshot Assessment

Metabolic Snapshot Assessment

Prepared for

Metabolic Marty

Assessment Date

June 2,2026

Identifying Metabolic Risk Before It Becomes Disease

Executive Summary

Your results suggest early signs of metabolic dysfunction are emerging beneath the surface.

While you may feel healthy today, several biomarkers indicate increasing risk for insulin resistance, cardiovascular disease, and other chronic conditions if these patterns continue to progress.

The encouraging news is that these findings were identified before disease developed, creating an opportunity to improve your long-term health trajectory through targeted interventions.

Metabolic Age

20

Metabolic Age

your age

60

Metabolic Age

Years
+ 2 .0

Older than your chronological age

Biomarker risk distrubution

No
Risk

31

Low
Risk

22

Medium Risk

9

High Risk

9

Higher Risk

10

Higher numbers indicate more biomarkers in each risk category.

Your Top Priority areas

See What's Driving Your Risk
Understand how your biomarkers and habits are shaping your future health.
See What's Driving Your Risk
Understand how your biomarkers and habits are shaping your future health.
See What's Driving Your Risk
Understand how your biomarkers and habits are shaping your future health.

The Optic Metabolic Lens

We look upstream to identify and address the root drivers of chronic disease long before symptoms appear.

1. Insulin Resistance

Excess insulin and poor cellular response drive metabolic dycfuntion and fat storage.

2. Oxidative stress

Imbalance between free radicals and your body's antioxidant defenses.

3. Inflamation

Chronic, low grade inflamation damages tissues and disrupts normal function.

4. Stress Physiology

Elevated cortisol and other stress hormones amplify the damaga and impair recovery.

5. Genetic Risk

Inherited factors can increase succeptbility and influence how your body responds.

6. Disease Progression

Over time, these drivers create the foundation for chronic disease to take root.

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