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METAMECH is a master observational protocol designed to empower a bi-directional collaboration between basic and clinical research, an essential prerequisite to feed and implement precision oncology.
METAMECH will follow a stage-mixed cohort of at least 500 patients through their course of treatments, until death or a minimum of 5 years. Patients will be longitudinally sampled and matched clinical data (including imaging) will be collected. Via a multi-tiered informed consensus process, METAMECH will also allow to develop companion diagnostics for molecular enrichment strategies in AIRC-driven proof-of-concept trials.
METAMECH has been designed to streamline the study of the co-evolutionary landscape between tumor and host cells in a cohort of breast cancer (BC) patients, with the aim of understanding how their outcomes can be significantly improved (e.g. reduction of their chance of recurrence and survival improve). This clinical resource for integrative clinical data and sample collection will allow to generate hypotheses on mechanisms supporting the outgrowth of human metastases, mine for new potentially actionable targets and the selection of appropriate patients for experimentally-driven trials. To achieve the required level of 'experimental precision', patients will enter METAMECH at two different 'therapeutic checkpoints': i) prior to a tumor sampling event (surgery, biopsy) or ii) prior to any line of treatment.
To optimize the enrollment of patients, the longitudinal collection of data/samples and their logistic management, METAMECH has been designed as a flexible infrastructure organized in Tiers for the stepwise comprehension of the biological processes that drive tumor evolution, and precisely:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort of BC patients | Stage-mixed cohort of at least 1500 breast cancer patients through their course of treatment, until death or a minimum of 5 years. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Observational | Other | Retrospective cohorts and Prospective observation of standard clinical practice |
|
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients recruited in TIER0 and TIER 1 | Number of recruited BC cases in TIER 0 and in TIER 1 with complete clinically annotated FFPE and/or frozen biological samples | 6 months |
| Number of patients recruited in TIER2 | Number of recruited BC cases in TIER 2 | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients triaged in proof-of concept (POC) clinical trials | Number of BC cases recruited in TIER 3 | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| New prognostic mechanotransduction-linked markers | Number of identified/validated new prognostic mechanotransduction-linked markers | 6 months |
| New predictive mechanotransduction-linked markers | Number of identified/validated new predictive mechanotransduction-linked markers |
Inclusion Criteria:
Exclusion Criteria:
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Stage-mixed Breast Cancer (BC) patients
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Smeralda Rapisarda | Contact | +3902574303236 | clinical.trials@ifom.eu | |
| Ylenia Silvestri, PhD | Contact | +3902574303799 | clinical.trials@ifom.eu |
| Name | Affiliation | Role |
|---|---|---|
| Silvia Marsoni, MD | IFOM ETS - The AIRC Institute of Molecular Oncology | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Asst Papa Giovanni Xxiii | Not yet recruiting | Bergamo | Bergamo | 24127 | Italy |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D057832 | Watchful Waiting |
| ID | Term |
|---|---|
| D017063 | Outcome Assessment, Health Care |
| D010043 | Outcome and Process Assessment, Health Care |
| D011787 | Quality of Health Care |
| D006298 | Health Services Administration |
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| 6 months |
| Biomarkers correlation with RR | Correlation between identified biomarkers with therapies response rates (RR) | 6 months |
| Biomarkers correlation with PFS | Correlation between identified biomarkers with progression-free survival (PFS) | 6 months |
| Biomarkers correlation with OS | Correlation between identified biomarkers with overall survival (OS) | 6 months |
| Fondazione IRCCS, Istituto Nazionale dei Tumori | Recruiting | Milan | Milan | 20133 | Italy |
|
| Fondazione IRCCS, Istituto Neurologico Carlo Besta | Recruiting | Milan | Milan | 20133 | Italy |
|
| Azienda Ospedaliero Universitaria Maggiore della Carità di Novara | Recruiting | Novara | Novara | 28100 | Italy |
|
| Istituto Oncologico Veneto IRCCS (IOV) | Recruiting | Padova | Padova | 35128 | Italy |
|
| Fondazione IRCCS, Policlinico San Matteo Pavia | Recruiting | Pavia | Pavia | 27100 | Italy |
|
| Istituto Nazionale Tumori Regina Elena di Roma - Istituti Fisioterapici Ospitalieri (IFO) | Recruiting | Roma | Roma | 00144 | Italy |
|
| IRCCS Humanitas | Recruiting | Milan | 20089 | Italy |
|
| IEO - Istituto Europeo di Oncologia | Recruiting | Milan | 20141 | Italy |
|
| Azienda U.S.L. - IRCCS di Reggio Emilia | Recruiting | Reggio Emilia | 42122 | Italy |
|
| D017437 |
| Skin and Connective Tissue Diseases |