Breast Cancer IndexSM
Accurate assessment of prognosis in patients with early stage breast cancer is essential to guiding adjuvant treatment decisions. Traditionally, evaluation of prognosis and risk of recurrence has been based on clinicopathologic features, such as age, tumor size, and grade which can be subjective. Treating patients identified with features of intermediate risk remain a clinical challenge.
Risk stratification with a traditional method such as St. Gallen Criteria1 classifies as many as 86% of patients as intermediate – a designation that is problematic as well as inaccurate. Without a clearer delineation of high or low risk, there is real danger of under treating higher risk patients and over treating lower risk patients.
The Breast Cancer Index improves patient management by refining risk assessment and identifying patients likely to benefit from endocrine therapy, and whose tumors are likely to be sensitive or resistant to chemotherapy.
By simultaneous assessment of H/ISM (HOXB13:IL17BR) and MGISM (Molecular Grade Index) , the Breast Cancer Index has the capability of significantly re-stratifying the majority of “intermediate risk score” patients into either low or high-risk groups. This in turn enables the treating oncologist to objectively identify those patients who are in need of, and would most likely benefit from, certain therapies.
H/I and MGI independently evaluate two distinct biological pathways.
These two biomarkers, when combined into the molecular diagnostic Breast Cancer Index, provide a more complete picture of both risk of recurrence and viable therapeutic options, such as endocrine therapy or chemotherapy, for each individual patient.
References:
1. Goldhirsch A, Coates AS, Gelber RD, Glick JH, Thurlimann B, Senn HJ. First – select the target: better choice of adjuvant treatments for breast cancer patients. Ann Oncol. 2006;17(12):1772-1776.
2. Data on file, bioTheranostics Inc, San Diego, CA.
3. Ma XJ, Salunga R, Dahiya S, et al. A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res. 2008;14(9):2601-2608.
4. Page DL, Gray R, Allred DC, et al. Prediction of node-negative breast cancer outcome by histologic grading and S-phase analysis by flow cytometry: an Eastern Cooperative Oncology Group Study (2192). Am J Clin Oncol. 2001;24(1):10-18.
5. Ma X-J, Erlander M, Goss P, et al. A robust five-gene RT-PCR molecular grade index stratifies recurrence risk for grade 2 tumors, predicts chemo-sensitivity and is compatible with formalin-fixed paraffin-embedded tissue. Paper presented at: 25th Annual Miami Breast Cancer Conference; February 20-23, 2008; Orlando, FL.