The purpose of the CCANED-CIPHER study is to develop and validate an AI-based blood test for early cancer detection and to monitor treatment effectiveness in cancer patients. This two-phase, multi-center observational study aims to identify specific transcriptomic biomarkers in platelets and immune cells that distinguish cancer patients from healthy individuals and correlate with treatment outcomes. By analysing blood samples using artificial intelligence, the study seeks to create a safe, non-invasive method to enhance cancer diagnosis and monitor treatment responses over time.
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Identification of Platelet RNA Biomarkers Distinguishing Cancer Patients from Controls
Timeframe: Baseline (single time point)
Identification of RNA Biomarkers Correlating with Therapeutic Response (Phase 2)
Timeframe: Baseline to 6 months post-therapy initiation
Association Between Immune Cell Transcriptomes and AI-Based Platelet Signals
Timeframe: Baseline to 6 months post-therapy initiation