- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04996836
Breast Cancer, Omics, and Precision Medicine (BR(E)2ASTOME)
Evaluating the Predictive and Prognostic Power of the Early Breast canceR gEnetic and Epigenetic Abnormalities Through Liquid biopSy and neTwOrk MEdicine Algorithm: the BR(E)2ASTOME Phase II Randomized Controlled Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The BR(E)2ASTOME study will be performed at the U.O.C. Patologia Molecolare e Clinica, University of Campania "L. Vanvitelli", Naples (Italy) with a long-standing experience in diagnosis and treatment of BC (Refs.). From each study participant, total of 10 mL of pheripheral blood in EDTA tubes will be collected at time of BC diagnosis. Blood-based assays will be performed to obtain genetic and/or epigenetic big data from ct-DNA and gDNA, respectively. A network-oriented algorithm combined with patient-level clinical information will be applied to big data in order to identify clusters of genes (BC-modules) harboring novel genetic mutations, in the NGS-ctDNA BC-group, and differentially methylated regions (DMRs), in the RRBS-gDNA group, with a potential predictive and prognostic role in BC management. In the NGS-ctDNA-RRBS-gDNA group, we will evaluate whether the multi-omics approach is more informative as compared to the single-omic paradigm.
BC patients (males and females) will be randomized to the 2 study arms: ctDNA-NGS + gDNA-RRBS, and standard of care alone. No modifications of intervention assignment will be possible after randomization process of patients. The BR(E)2ASTOME study will provide evidence about the potential clinical utility of early use liquid-based assays and network-oriented biomarkers in prognosis and prediction of drug response in BC management.
Thus, results from BR(E)2ASTOME study will bring to identify not only new molecular mechanisms associated with BC, but also non-invasive biomarkers that can direct towards an early diagnosis, contribute to monitor the cancer progression and the response to therapeutic treatment.
Study Type
Enrollment (Anticipated)
Phase
- Phase 2
Contacts and Locations
Study Contact
- Name: Giuditta Benincasa, PhD
- Phone Number: +390815667916
- Email: giuditta.benincasa@unicampania.it
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Sporadic BC
- Inherited BC
- 18 years old
- Males and Females
Exclusion Criteria:
- Inflammatory diseases
- Cardiovascular diseases
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: BC diagnosis and Omics
Participants will be offered:
|
Next Generation Sequencing and Network Analysis will profile genetic and epigenetic abnormalities in blood from patients with BC.
|
|
No Intervention: BC diagnosis and standard of the care
Participants will not be offered targeted NGS or whole-genome RRBS but will receive their usual clinical care
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Evaluation of Network-oriented buomarkers in prognosis of BC
Time Frame: 1 years
|
We will evaluate whether the network-oriented BR(E)2ASTOME approach will identify BC modules useful for a better stratification of BC severity. We will measure: DNA methylation levels and associations with clinical parameters (survival, hospitalization, all-cause mortality). We will evaluate potential novel genetic mutations in targeted genes and associations with clinical parameters (survival, rate of hospitalization, all-cause mortality) |
1 years
|
|
Evaluation of Network-oriented buomarkers of Drug Response
Time Frame: 2 years
|
We will evaluate whether the network-oriented BR(E)2ASTOME approach will identify BC modules useful for predicting the individual drug response. We will measure DNA methylation levels, and potential novel genetic mutations, and their association with clinical parameters (poor/good response to drug therapy). |
2 years
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- LV
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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