on PinterestA new study found a strong association between insulin sensitivity and cancer risk.
on PinterestA new study found a strong association between insulin sensitivity and cancer risk. VICTOR TORRES/Stocksy
- Researchers linked insulin resistance to 12 types of cancer, with uterine cancer showing the strongest connection at 134% increased risk.
- A new AI tool outperformed BMI alone in predicting cancer risk, catching metabolic dysfunction even in people at healthy weights.
- The tool flagged elevated cancer risk in normal-weight patients that standard BMI screening missed.
Insulin sensitivity is a known driver of diabetes progression and other health complications.
Now, insulin resistance has been linked to a 25% higher risk of 12 different types of cancer, according to new findings published February 16 in Nature Communications.
Researchers from the heart disease, and cancer.
The association between insulin resistance and cancer incidence was strongest for uterine cancer, with a 134% increased risk.
“People already believe that insulin resistance is associated with cancer; however, insulin resistance is difficult to evaluate in the clinic because measures to evaluate…are not at all practical in a clinic,” said study author Yuta Hiraike, MD, PhD, of the named AI-IR, provides a “convincing answer…to demonstrate that insulin resistance is actually a risk factor for cancer.”
Neil Iyengar, MD, an oncologist and director of survivorship at Emory Winship Cancer Institute, wasn’t involved in the research, but said it confirms a large body of evidence linking metabolic health to cancer risk.
Iyengar told Healthline that the findings could help researchers “develop better tools that are more specific and more individualized for risk prediction.”
Detecting insulin resistance with AI
The AI tool combined nine parameters and uses artificial intelligence (AI) to detect insulin resistance (IR).
In addition to age, sex, race and body mass index (BMI), the model uses five blood tests:
- fasting blood sugar
- HbA1c or A1C
- triglycerides
- total cholesterol
- high-density lipoprotein cholesterol
Hiriake said they chose these parameters because primary care physicians routinely capture them. “I believe implementing [the tool] to the real world is not difficult,” he said.
While body mass index (BMI) remains the strongest single predictor of insulin resistance, what sets AI-IR apart is its ability to flag risk in people who would be cleared by standard BMI screening, catching metabolic dysfunction in people with a healthy weight.
“What’s unique about this study is they were able to predict the insulin resistance before the insulin resistance even happened,” Iyengar said.
That’s important because, while obesity has long been recognized as a cancer risk factor, an emerging area of research suggests that metabolic health tells a more complete story than weight alone.
Researchers built the AI model using data sets from U.S. and Taiwanese populations, then tested it with nearly 400,000 participants in the United Kingdom. Because the UK population was predominantly ethnically European, the study’s findings are limited by ethnicity.
Insulin resistance linked to 12 cancer types
People identified as having insulin resistance had a 25% higher cancer risk, the study found. Six cancers showed the strongest correlation with insulin resistance
- uterine
- kidney
- esophagus
- pancreas
- colon
- breast
Six other cancer types were associated with insulin resistance, but not as strongly:
- renal pelvis
- small intestine
- stomach
- liver and gallbladder
- leukemia
- bronchial and lung
Effects of insulin resistance on uterine cancer
The study identified an 134% increased risk of
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