Observational, ambispective, multicenter, non-interventional study without drugs or medical devices, aimed at the identification, validation, and clinical evaluation of extracellular vesicle (EV)-derived biomarkers in patients with metastatic colorectal cancer (mCRC).
The study will include patients diagnosed with metastatic colorectal cancer (mCRC), divided into a retrospective cohort and a prospective cohort.
This study aims to identify and validate circulating extracellular vesicle (EV)-derived biomarkers, including EV-RNA and EV-protein (EV-PROT) profiles, in patients with metastatic colorectal cancer (mCRC). The goal is to develop an integrated non-invasive biomarker panel to support patient stratification, treatment response prediction, and longitudinal disease monitoring.
The study will be conducted through three main phases:
Discovery phase: identification of novel EV-RNA and EV-PROT biomarkers from plasma samples of mCRC patients, integrated with spatial transcriptomic and proteomic analyses of tumor tissues and functional evaluation in patient-derived colorectal cancer organoids (CRC-org).
Retrospective validation: validation of selected biomarkers in an independent mCRC cohort using droplet digital PCR (ddPCR) for EV-RNA and nano-flow cytometry for EV-PROT, combined with clinical outcome analyses and functional studies using CRC-org-derived 3D tumor models (assembloids).
Prospective validation: assessment of biomarker clinical value in an independent prospective mCRC cohort through longitudinal plasma analyses at different treatment time points, evaluating associations with treatment response, progression-free survival (PFS), and overall survival (OS).
The integration of molecular, clinical, and experimental data will support the biological characterization of EV-derived biomarkers and their potential role in tumor progression, therapeutic response, and resistance mechanisms.
The statistical analysis will be conducted to evaluate the association between EV-RNA and EV-PROT biomarkers and clinical disease outcomes. Data will be analyzed using descriptive methods and appropriate statistical tests to compare groups and assess changes over time.