What happened
Agendia of Amsterdam runs MammaPrint, a laboratory service that measures the expression of 70 genes in fresh-frozen breast tumor tissue. It correlates each profile with a template from 44 tumors with good outcomes and reports a low or high risk of distant metastasis. The signature was derived on a published training set from the Netherlands Cancer Institute. The TRANSBIG consortium validated it on 302 node-negative patients under 61, diagnosed before 1999 at five centers in France, Sweden and the United Kingdom. None had received adjuvant systemic therapy. At five years, 95% of low risk and 78% of high risk patients were free of distant metastasis. After adjustment for clinical risk, the hazard ratio was 2.13. FDA reviewers write that the signature is clearly providing additional information beyond clinical factors. FDA granted the de novo classification on 6 February 2007. No US patients were studied.
Sources
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Regulatory document, by authors with no tie to the system.
Adjustment for being at high risk of metastases via the Adjuvant on-line still resulted in a hazard ratio of 2.13 (95% CI: 1.19 to 3.82). The modest drop in the hazard probably reflects that the genomic signature may be related to the clinical factors but is clearly providing additional information.
Details
AI system
- Workflow
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RNA from fresh-frozen tumor sections was amplified, labeled and hybridized to a custom Agilent microarray. The test ran as a service in a single Agendia laboratory in Amsterdam.
Follow-up
- Conditions for replication
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The patient is under 61 with stage I or II, lymph node negative breast cancer and a tumor of 5.0 cm or less. Physicians use the result as a prognostic marker with other clinicopathological factors.
Entry details
- Sector
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Healthcare.
- Purpose
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Agendia built MammaPrint to assess the risk of distant metastasis in patients under 61 with stage I or II, node-negative breast cancer, as a prognostic marker.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). MammaPrint separated node-negative breast cancers by risk of spread (AIBD-0813). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0813.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)