Beaumont Moves Toward Personalized Cancer Treatments

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ROYAL OAK — Beaumont Health System Researchers have identified two “markers” that were useful in predicting a patient’s resistance to radiation therapy for head and neck cancer, and could potentially help create personlized treatments.

“Radiation therapy is a common treatment for people with squamous cell cancer of the head and neck,” Dr. Akervall said. “However, it’s not always well-tolerated. It can take two months, resulting in lots of side effects. Some of these complications are permanent. Before my patient goes down that path, I really want to know if their tumors are going to respond to radiation. That’s where the patient’s biomarkers can shed some light. If not, we can look at other treatment options – saving time, possible risk for complications and expense.”

A biomarker is a gene or a set of genes or its products, RNA and proteins, that researchers use to predict a key clinical issue such as diagnosis, prognosis, and response to treatment, choice of treatment or recurrence. Biomarker studies can provide a bridge between emerging molecular information and clinical treatment. They may also lead to personalized treatment, in contrast to protocol-based medicine of today.

“Personalized treatment decisions based on biomarkers go beyond traditional cancer staging classifications,” Dr. Akerval said. “Individualized treatment plans could reduce morbidity and potentially improve survival by avoiding treatment failures. There is reason to believe that a better understanding of the biological properties of these tumors, as measured in the patient’s pre-treatment biopsies, may lead us to predict the response to radiation therapy and concurrent chemoradiation, thus allowing for tailored patient-specific treatment strategies.”

The study followed two groups of patients. In the first group, researchers screened 18,000 genes and identified five distinct markers.  The second group was larger and confirmed these findings and two of them in particular. Two markers were good at predicting whether or not radiation-based therapy would be effective.

“While our findings are encouraging, and a step toward personalized medicine, we hope to do more of this research with a larger, randomized trial,” Dr. Akerval said.

For more information, visit beaumont.edu

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