Agendia Presents Data at Miami Breast 2024 Demonstrating MammaPrint® + BluePrint®’s Ability to Further Stratify Tumor Categories in Hormone-Positive Breast Cancer, Highlighting Response to Different Chemotherapy Regimens

On March 8, 2024 Agendia, Inc., reported that it will share new data from the ongoing prospective, observational FLEX Trial (NCT03053193) in two poster presentations at the 41st Annual Miami Breast Cancer Conference (MBCC), taking place March 7 – 10th, 2024 (Press release, Agendia, MAR 8, 2024, View Source [SID1234640976]).

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The first poster, titled MammaPrint and BluePrint predict anthracycline chemosensitivity in patients with HR+HER2-early-stage breast cancer enrolled in FLEX, (Audeh, W., et al.), investigates the associations between MammaPrint and BluePrint classifications, therapy regimen, and the likelihood of achieving a pathologic Complete Response (pCR). Researchers looked at patients who had hormone receptor-positive (HR+), Human Epidermal Growth Factor Receptor (HER) 2-negative early-stage breast cancer – categorized as MammaPrint High Risk – who had been treated with either a combination of two (taxane and cyclophosphamide, TC) or three (TC with anthracycline, AC-T) types of neoadjuvant chemotherapy. Patients were then further stratified into MP High 1 and High 2 categories, and further stratified by BluePrint subtype of Luminal and Basal. Results showed that patients with MP High 2 tumors, including Luminal B and Basal subtypes, are more likely to achieve a pCR in response to AC-T, while the addition of anthracycline to the therapy regimen does not appear to improve pCR rates for patients with MP High 1, Luminal B-type tumors.

The second poster, titled Prediction of chemotherapy benefit by MammaPrint in patients with HR+HER2-early-stage breast cancer from real-world evidence studies (Audeh, W., et al.), used data from patients with HR+ HER2-negative early-stage breast cancer enrolled in the FLEX and NBRST trials to generate a prediction of the magnitude of chemotherapy benefit based upon a patient’s genomic risk, looking at the MammaPrint index more closely as a continuous variable. Researchers examined the association of the MammaPrint index with benefit from chemotherapy by evaluating two clinical endpoints, the likelihood of pCR in response to neoadjuvant chemotherapy, and the five-year outcome among patients who received chemotherapy and endocrine therapy or endocrine therapy alone.

Consistent with results found in the landmark MINDACT trial, this study showed that the MammaPrint index demonstrates strong efficacy in predicting low chemosensitivity in Low Risk and Ultra Low Risk tumors, reinforcing that these groups do not derive significant chemotherapy benefit. However, it was also observed that chemotherapy effectiveness increased as MammaPrint risk increased in High 1 and High 2 tumors, as evidenced by both pCR rates and 5-year outcomes, demonstrating that the overall benefit of chemotherapy increases as MammaPrint risk increases. Taken together, these findings indicate the utility of MammaPrint to predict neoadjuvant and adjuvant chemotherapy benefit in this patient population.

"In this unique real world evidence FLEX study, we were able to look at chemosensitivity for patients who had received neoadjuvant treatment and the chemo benefit for patients who are treated with systemic therapy after surgery, showing that MammaPrint is predictive of chemotherapy benefit in both cases. The FLEX Trial, with over 16,000 women enrolled, is now allowing us to look at clinical outcomes as well as analyzing whole transcriptome data," said William Audeh, MD, MS, Chief Medical Officer of Agendia. "The data we’re sharing at the Miami Breast Cancer Conference confirms that gene expression profiling with these assays identify who may benefit from chemotherapy, and may prove helpful in regimen selection as well. We look forward to further exploring the capabilities of MammaPrint and BluePrint for women across the entire spectrum of breast cancer risk and subtype."

The goal of Agendia’s research is to increase the likelihood of managing each individual’s cancer diagnosis by delivering a customized treatment plan to the patients most likely to benefit based on the unique features of their tumor.