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: * TIER0, Retrieving: the ability to retrospectively retrieve clinically annotated BC archival samples to validate/discover new mechanotransduction-linked biomarkers; * TIER1, Recording: the ability to prospectively record BC characteristics under standard of care treatments and to define new mechanotransduction-linked biomarkers; * TIER2, Modelling: the ability to develop pertinent experimental models to study the aberrant mechanisms underlying the metastatic outgrowth and define mechanotransduction-targeting therapeutic strategies; * TIER3, Linking: the ability to access data and samples of patients enrolled in POC trials to prove the efficacy and study/understand resistance mechanisms of mechanotransduction-targeting therapies.
Study Type
OBSERVATIONAL
Enrollment
1,500
Retrospective cohorts and Prospective observation of standard clinical practice
Asst Papa Giovanni Xxiii
Bergamo, Bergamo, Italy
NOT_YET_RECRUITINGFondazione IRCCS, Istituto Nazionale dei Tumori
Milan, Milan, Italy
RECRUITINGFondazione IRCCS, Istituto Neurologico Carlo Besta
Milan, Milan, Italy
RECRUITINGAzienda Ospedaliero Universitaria Maggiore della Carità di Novara
Novara, Novara, Italy
RECRUITINGIstituto Oncologico Veneto IRCCS (IOV)
Padua, Padova, Italy
RECRUITINGFondazione IRCCS, Policlinico San Matteo Pavia
Pavia, Pavia, Italy
RECRUITINGIstituto Nazionale Tumori Regina Elena di Roma - Istituti Fisioterapici Ospitalieri (IFO)
Roma, Roma, Italy
RECRUITINGIRCCS Humanitas
Milan, Italy
RECRUITINGIEO - Istituto Europeo di Oncologia
Milan, Italy
RECRUITINGAzienda U.S.L. - IRCCS di Reggio Emilia
Reggio Emilia, Italy
RECRUITINGNumber 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
Time frame: 6 months
Number of patients recruited in TIER2
Number of recruited BC cases in TIER 2
Time frame: 6 months
Number of patients triaged in proof-of concept (POC) clinical trials
Number of BC cases recruited in TIER 3
Time frame: 6 months
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