bioTheranostics, a bioMerieux company that develops innovative oncology diagnostic tests to drive personalized treatment, reported today findings from three studies using the company's breast cancer molecular test. Data from the studies were presented this week at the CTRC-AACR San Antonio Breast Cancer Symposium (SABCS).
The THEROS Breast Cancer Index® (BCI) is a combination of HOXB13:IL17BR (H/I) and Molecular Grade Index (MGI), biomarkers that improve risk stratification and treatment outcome prediction in patients with estrogen receptor (ER)-positive, lymph node-negative breast cancer. The majority of breast cancers diagnosed each year are ER-positive, lymph-node negative.
Data presented at the San Antonio meeting this week reinforce the value of the THEROS BCI as a tool that can help oncologists and patients make information-based decisions about breast cancer therapy. Specifically, the data demonstrate that the THEROS BCI assay provides reliable, quantitative and predictive information about individual patient's disease recurrence risk, as well as therapeutic response to a commonly used aromatase inhibitor.
Study Results
On Saturday, December 12, Olle Stal, PhD, of Linkoping University in Sweden, presented results from a large, randomized cohort study of 769 early-stage, post-menopausal breast cancer patients. Results of this study validated with statistical significance the risk prognosis ability of THEROS BCI in patients receiving tamoxifen monotherapy and no adjuvant treatment. In addition, the study demonstrated the value of the THEROS BCI assay as a continuous predictor for individual risk assessment. (Abstract #77)
"The predictive risk of recurrence provided by the THEROS BCI assay provides oncologists and patients with an objective and quantitative tool which helps them make informed decisions about breast cancer treatment," said Dr. Stal. "What is most important for us clinically is that the patients categorized by the BCI assay as 'low risk' had less than 4 percent chance of recurrence after 10 years." The ability to identify these low risk patients, who otherwise have pathological presentation similar to high risk patients, could significantly reduce the need for unnecessarily aggressive treatment in individual patients.