Deployment and Clinical Evaluation of an AI-powered Digital Oncology Biomarker Tool to guidE Treatment in TNBC
NCT ID: NCT06396754
Last Updated: 2024-10-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
50 participants
OBSERVATIONAL
2024-11-01
2025-10-31
Brief Summary
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Furthermore, a fully end-to-end blinded evaluation of the same algorithm to be used in this study achieved \>90% accuracy for predicting disease free survival (DFS) and overall survival (OS) in the pooled analysis of seven adjuvant phase-III TNBC trials.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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AI-analysis on diagnostic and surgical specimens
The analysis will report a list of AI-based biomarkers to assess the tumour-immune spatial microenvironment as well as final spatial immune-ecology prognostic (SIPA) reports for every patient.
Eligibility Criteria
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Inclusion Criteria
* Confirmed diagnosis of triple negative breast cancer (non-metastatic)
* Planned for neo-adjuvant systemic therapy
* Written consent to generic Tissue for Research donation
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Case45 Ltd
UNKNOWN
Institute of Cancer Research, United Kingdom
OTHER
Responsible Party
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Principal Investigators
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Navita Somaiah
Role: PRINCIPAL_INVESTIGATOR
Institute of Cancer Research, United Kingdom
Central Contacts
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Other Identifiers
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CCR6030
Identifier Type: -
Identifier Source: org_study_id
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