The CCANED-CIPHER Study: Early Cancer Detection and Treatment Response Monitoring Using AI-Based Platelet and Immune Cell Transcriptomic Profiling
Javier Toledo
6,000 participants
Dec 20, 2025
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria6
- Phase 1 (Common Cancer Early Detection - CCANED)
- Age: Adults aged 40 years or older.
- Confirmed diagnosis of one of the following common cancers: Non-Small Cell Lung Cancer (NSCLC), Glioblastoma Multiforme (GBM), Colorectal Cancer, Hepatocellular Carcinoma (HCC), Breast Cancer, Prostate Cancer, Ovarian Cancer, Pancreatic Cancer.
- Adults aged 40 years or older.
- Confirmed diagnosis of: Hepatocellular Carcinoma (HCC), Non-Small Cell Lung Cancer (NSCLC)
- Willingness to provide blood samples at the specified intervals (baseline, 6 weeks, and 6 months post-therapy initiation).
Exclusion Criteria7
- Currently pregnant.
- Presence of any active infectious diseases.
- Use of anticoagulant or antiplatelet drugs within the past 2 weeks.
- Any medical or psychological conditions that may affect the participant's ability to comply with study procedures.
- Phase 2 ( Cancer Immuno-Profiling of Hematologic and Extracellular RNA - CIPHER)
- Presence of another malignancy unless it has been in remission for at least 5 years.
- Significant uncontrolled co-morbid conditions that may interfere with study participation or outcomes.
Interventions
Procedure: Participants will undergo a single blood draw at baseline. Sample Analysis: Platelet Isolation: Platelets will be extracted from the collected blood samples. RNA Analysis: RNA from the isolated platelets will be extracted and analyzed using AI-based transcriptomic profiling to identify biomarkers associated with cancer.
Procedures: Blood Sample Collection: Participants will have blood samples drawn at three time points: Baseline: Before therapy initiation. 6 Weeks Post-Therapy Initiation: To monitor early treatment response. 6 Months Post-Therapy Initiation: To assess longer-term therapeutic outcomes. Sample Analysis: Platelet and Immune Cell Isolation: Platelets: Extracted from each blood sample to continue monitoring RNA profiles. Immune Cells: Separated from the blood samples to analyse immune response to therapy. RNA Analysis: Platelet RNA: Analysed to observe changes in transcriptomic profiles over time using AI-based tools. Immune Cell RNA: Examined to assess transcriptomic changes associated with therapeutic responses. Data Correlation: Therapeutic Response Assessment: RNA profiles from platelets and immune cells will be correlated with clinical outcomes to identify biomarkers predictive of treatment efficacy, progression-free survival, relapse, and drug resistance.
Locations(4)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06717295