Insulin Resistance Linked to 25% Higher Risk of 12 Cancer Types

A new study published February 16 in Nature Communications reveals a significant link between insulin resistance and an increased risk of developing cancer. Researchers have identified a 25% higher risk of 12 different types of cancer in individuals with insulin resistance.

Uncovering the Connection

Researchers from the University of Tokyo and Taichung Veterans General Hospital in Taiwan developed an artificial intelligence tool to predict insulin resistance. This tool not only identified patients with insulin resistance but also flagged higher risks for diabetes, heart disease, and cancer. The strongest correlation was found with uterine cancer, showing a 134% increased risk.

Did You Know? The AI tool was tested with nearly 400,000 participants in the United Kingdom, building upon datasets from the U.S. And Taiwan.

AI-IR: A New Predictive Model

The AI model, named AI-IR, combines nine parameters – age, sex, race, body mass index, and five blood tests – to detect insulin resistance. Study author Yuta Hiraike, MD, PhD, of the University of Tokyo Hospital, explained that the model offers a “convincing answer…to demonstrate that insulin resistance is actually a risk factor for cancer.”

Neil Iyengar, MD, an oncologist at Emory Winship Cancer Institute, who was not involved in the research, confirmed that the findings align with a growing body of evidence linking metabolic health to cancer risk. He believes these findings could lead to the development of more precise and individualized risk prediction tools.

Beyond BMI: Identifying Risk in Normal Weight Individuals

While body mass index (BMI) remains a key predictor of insulin resistance, AI-IR stands out by identifying risk in individuals who would be considered healthy based on standard BMI screenings. This is particularly significant as it catches metabolic dysfunction in people with a normal weight. The tool can predict insulin resistance *before* it develops, offering a proactive approach to risk assessment.

Expert Insight: Identifying cancer risk in individuals who do not have obesity, as defined by a BMI over 30, is a crucial area of research because standard screenings often overlook their elevated risk.

Cancers Linked to Insulin Resistance

The study identified six cancers with the strongest correlation to insulin resistance: uterine, kidney, esophagus, pancreas, colon, and breast. Six additional cancer types showed a less pronounced association: renal pelvis, small intestine, stomach, liver and gallbladder, leukemia, and bronchial and lung cancers.

What’s Next?

The AI-IR tool is not yet available for widespread clinical use. However, the markers it relies on – hemoglobin A1C and body fat percentage – are readily available through routine medical care. Researchers suggest that monitoring these markers could help individuals assess their risk and take proactive steps to improve their metabolic health.

Frequently Asked Questions

What cancer showed the strongest association with insulin resistance?

Uterine cancer showed the strongest association with insulin resistance, with a 134% increased risk.

What is AI-IR?

AI-IR is an artificial intelligence tool developed by researchers from the University of Tokyo and Taichung Veterans General Hospital in Taiwan to predict insulin resistance.

Can people with a normal weight still be at risk?

Yes, the AI-IR tool can identify elevated cancer risk in normal-weight patients, highlighting that metabolic dysfunction can occur independently of body size.

As research continues to illuminate the complex relationship between metabolic health and cancer, could a more personalized approach to risk assessment and prevention become the standard of care?