About this trial
AlfaOmega has been designed to streamline the study of the co-evolutionary landscape between tumor and host cells in a cohort of CRC patients, with the aim of understanding how their outcomes can be significantly improved (e.g. reduction of their chance of recurrence and survival improval). This clinical resource for integrative clinical data and sample collection will allow the molecular story-telling of CRC metastatic spread along time and space and the selection of appropriate patients for experimentally-driven trials.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
TIER1 written Informed consent.
Patients ≥18 years of age.
Previous diagnosis of colorectal cancer, or a strong suspicion of CRC based on clinical and radiological findings.
In patients with previous diagnosis of CRC availability of diagnostic Formalin-Fixed, Paraffin Embedded (FFPE) blocks (surgical resection and/or tumor biopsies), or at least 10 slides (preferably 20). FFPE tissue blocks are always preferred to slides.
Disqualifiers
Any other current malignancy or malignancy diagnosed or relapsed within the past 5 years (other than non-melanomatous skin cancer, stage 0 melanoma in situ, and in situ cervical cancer)
Patient unable to comply with the study protocol owing to psychological, social or geographical reasons.
Known Human Immunodeficiency Virus (HIV), Hepatitis B Virus (HBV), Hepatitis C Virus (HCV) or syphilis infection.
Trial population
Colorectal cancer patients
Trial design
Cohort
Prospective
Treatments tested in this trial
Observation
Other interventionProspective Observation of standard clinical practice.
Treatment groups
Trial outcomes
Primary outcomes
Number of patients longitudinally monitored
1. \- Number of recruited CRC cases in TIER1 with complete FFPE/clinical data match. 2. \- Number of recruited CRC cases in TIER2.
Secondary outcomes
Number of patients triaged in proof-of-concept (POC) clinical trials
Number of CRC cases recruited in TIER3.
Other outcomes
Number of new prognostic and predictive biomarkers
1. \- Number of identified/validated new prognostic markers 2. \- Number of identified/validated new predictive markers.
Correlation of new prognostic and predictive biomarkers with clinical outcomes
1. \- Correlation between identified biomarkers with therapies response rates (RR). 2. \- Correlation between identified biomarkers with progression-free survival (PFS). 3. \- Correlation between identified biomarkers with overall survival (OS).
Sponsors and contacts
Click on the lead sponsor to view all of their trials.