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Risk-Prediction Model for Pancreatic Cancer


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A risk-prediction model that combined genetic and clinical factors with circulating biomarkers may help to identify people at a significantly higher-than-normal risk of developing pancreatic cancer, according to results of a study published by Peter Kraft, PhD, and colleagues in Cancer Epidemiology, Biomarkers & Prevention.

“Pancreatic cancer is a particularly deadly [disease], with about 80% of patients diagnosed with advanced, incurable disease,” said Dr. Kraft, the study’s lead author and Professor of Epidemiology at the Harvard T.H. Chan School of Public Health. “Catching it at an earlier stage makes it more likely that surgery will be an option, increasing the chances of survival.”

Screening for Pancreatic Cancer

Dr. Kraft explained that existing screening techniques, such as magnetic resonance imaging, are not recommended for the general public because they may generate excessive rates of false positives. They are most appropriate for people at higher risk of pancreatic cancer, and therefore, improving identification of the high-risk population could improve tailored prevention and screening efforts, he said.

Risk factors for pancreatic cancer include family history, chronic conditions like diabetes and pancreatitis, and smoking. Dr. Kraft said prospective studies have shown that certain circulating biomarkers tied to insulin resistance have also been shown to influence risk. “These factors have been investigated individually, and in this study, we wanted to examine the combined effect of clinical factors, common genetic predisposition variants, and circulating biomarkers,” he said.

“Like most cancers, pancreatic cancer is multifactorial. The more we are able to combine information from multiple domains, the better we will become at identifying those who could benefit from screening.”
— Peter Kraft, PhD

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Methods

The study examined data from four large prospective cohort studies: the Health Professionals Follow-up Study, the Nurses’ Health Study, the Physicians’ Health Study, and the Women’s Health Initiative. Researchers analyzed data from 500 patients diagnosed with primary pancreatic adenocarcinoma between 1984 and 2010, as well as 1,091 matched controls. The study enrolled only non-Hispanic white participants in the United States, because genomic risk variants have been confirmed in the white population but not in other groups, said Dr. Kraft.

The researchers collected data on lifestyle and clinical characteristics from patient questionnaires, blood samples, and genomic DNA from peripheral blood leukocytes of the participants. They calculated a weighted genetic risk score based on data from two large genome-wide association studies.

The researchers developed three relative risk models for men and women separately. One featured only clinical factors; one added the weighted genetic risk score to the clinical factors; and the third added the biomarkers proinsulin, adiponectin, IL-6, and total branched-chain amino acids.

Dr. Kraft said that each new level of data improved “model fit,” allowing for more accurate identification of pancreatic cancer risk.

Risk-Prediction Model

Ultimately, the models identified subsets of participants who were at a threefold or higher increased risk of pancreatic cancer than the general population. The model that featured only clinical characteristics identified 0.2% of men and 1.5% of women who were at threefold or higher increased risk. The model that combined clinical and genetic factors identified 0.3% of men and 2.3% of women at threefold or greater risk.

The model that added weighted genetic risk score and circulating biomarkers identified 1.8% of men and 0.7% of women who were at threefold or higher increased risk. The final integrated model identified 2.0% of men and 2.3% of women who had at least three times greater-than-average risk in 10 years of follow-up. The individuals in the top 1% of risk according to the model carried a 4% lifetime risk of pancreatic cancer.

While this model would have to be confirmed and studied in other populations, Dr. Kraft said the study indicates that combining biomarkers with clinical and genetic factors can result in better identification of the people who could benefit from screening and early detection of pancreatic cancer.

“Like most cancers, pancreatic cancer is multifactorial,” he explained. “The more we are able to combine information from multiple domains, the better we will become at identifying those who could benefit from screening.”

The study’s key limitation is that family history of pancreatic cancer was not collected from most participants, making it difficult to estimate the relative risk of this important factor. The impact of smoking status also could not be directly estimated, as the contributing studies matched patients with pancreatic cancer to cancer-free individuals based on their smoking status.

Disclosure: This study was funded by grants from the National Institutes of Health; Dana-Farber Cancer Institute Hale Family Center for Pancreatic Cancer Research; Lustgarten Foundation; Stand Up To Cancer; Pancreatic Cancer Action Network; Noble Effort Fund; Promises for Purple; and the Broman Fund for Pancreatic Cancer Research. For full disclosures of the study authors, visit cebp.aacrjournals.org.

The content in this post has not been reviewed by the American Society of Clinical Oncology, Inc. (ASCO®) and does not necessarily reflect the ideas and opinions of ASCO®.
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