Press release
Signatera Data From I-SPY 2 Trial to Be Presented at ESMO Breast Annual Congress
Demonstrates Signatera’s ability to predict long-term outcomes in early-stage, high-risk breast cancers Several datasets will be presented, highlighting
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[{"type":"text","content":"\nDemonstrates Signatera’s ability to predict long-term outcomes in early-stage, high-risk breast cancers\n\nSeveral datasets will be presented, highlighting Natera’s leadership in breast cancer MRD\n\n AUSTIN, Texas--(BUSINESS WIRE)--\nNatera, Inc. (NASDAQ: NTRA), a global leader in cell-free DNA and precision medicine, will present multiple datasets in breast cancer together with its collaborators at the 2025 ESMO Breast Cancer Annual Congress in Munich, Germany, taking place from May 14-17, 2025.\n\nResults from the I-SPY 2 clinical trial, sponsored and operated by Quantum Leap Healthcare Collaborative, will be shared in a mini-oral presentation on May 16, 2025. The report includes data from 712 patients with early-stage, high-risk breast cancer, and it evaluates the association of distant recurrence free survival (DRFS) with ctDNA concentration at diagnosis, before receiving neoadjuvant systemic therapy and curative-intent surgery. Key highlights include:\n\n\nSignatera positive patients at diagnosis had 3x higher risk of recurrence than Signatera negative patients (HR 3.1, p\n\n\nPatients who were Signatera negative at diagnosis had extremely good outcomes.\n\n\n\nAmong patients who were Signatera positive at diagnosis, higher ctDNA quantities at the time of diagnosis were significantly correlated with a higher risk of recurrence. However, effective treatment can affect ctDNA levels as well as pathologic response status, both of which further refine risk of recurrence. This is the first time that pre-treatment absolute ctDNA quantity has been shown to correlate with clinical outcomes in breast cancer.\n\n\n\nAmong all clinicopathologic risk factors available at diagnosis, a multivariate analysis identified Signatera status as the most significant factor in predicting DRFS, regardless of disease subtype (p","length":2703,"tagName":"div"}]