CareDx (CDNA) Status update summary
Event summary combining transcript, slides, and related documents.
Status update summary
12 Feb, 2026Strategic vision and market opportunity
Focus on advancing AI-enabled relapse monitoring in AML and MDS post-cell therapy, aiming to lead in precision medicine for cell therapy.
Transplant Plus portfolio targets cell therapy as a high-severity, high-cost, and specialized market with unmet needs in relapse surveillance.
Estimated total addressable market (TAM) for AlloHeme is approximately $1 billion, driven by growth in allogeneic HCT and expanding eligible patient populations.
Commercial launch of AlloHeme planned for early 2027, with payer coverage decisions anticipated in 2028.
AlloHeme product overview and differentiation
AlloHeme is a blood-based, AI-enabled monitoring solution for early cancer relapse detection after allogeneic HCT in AML and MDS patients.
Utilizes next-generation sequencing and a proprietary AI algorithm to analyze micro changes in cell populations over time.
Provides a simple positive/negative result, is non-invasive, and does not require prior knowledge of tumor mutations.
Designed to be universally applicable and to fill a gap not addressed by current MRD or chimerism assays.
Positioned as the first ultra-sensitive, non-invasive, blood-based surveillance solution for AML and MDS post-HCT.
Clinical evidence and ACROBAT trial results
ACROBAT trial enrolled 285 patients across 11 centers, with 198 AML/MDS patients in the analytical cohort and two-year follow-up completed.
AlloHeme demonstrated high predictive power for relapse, with hazard ratios up to 11.9 and area under the ROC curve of 0.89.
Sensitivity was 85%, specificity 92%, negative predictive value 95%, and positive predictive value 79%, with a median lead time of 41 days before clinical relapse.
At 6 months post-transplant, positive AlloHeme results indicated a 12-fold higher relapse risk compared to negative results (p < 0.001).
Outperformed current standard-of-care assays, which have lower sensitivity and no predictive lead time.
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