Integration of Multiomics Markers for Invasive IPMNs Identification Through the Set-up of the INvasive Cyst bIomarkers Detection (INCITE) Consortium
NCT ID: NCT06694792
Last Updated: 2025-11-19
Study Results
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Basic Information
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RECRUITING
800 participants
OBSERVATIONAL
2025-01-03
2026-12-31
Brief Summary
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Identification of biomarkers that could predict malignancy in IPMNs is an unmet clinical need. Environmental, lifestyle, genetics and metabolic factors may play a role in IPMNs carcinogenesis. Aims of the study are: 1) to analyze exposome, somatic/germline genetic variability, metabolomics and transcriptome profile in order to identify new biomarkers; 2) to use nonparametric epidemiologic approaches and machine learning algorithms to compute a progression score to offer clinicians an innovative tool towards the goal of a personalized medicine approach. In order to perform all the analysis we will set up the Invasive Cyst biomarker detection (INCITE) consortium, between the participant centers in order to collectively enroll an adequate number of patients to fulfill the previous aims.
The project is designed as an observational cross-sectional multicenter study with additional procedures. The analysis will be conducted on biological samples collected at a single time point. Some samples (500 patients: 160 surgical, 340 under surveillance) are already available in the consortium, having been collected in previous studies, while additional 300 (100 surgical and 200 under surveillance) patients will be prospectively enrolled during the first 12 months of the study.
The sample collection will take place during outpatient visit/EUS procedure for the surveillance cohort, while in the surgical cohort all the material will be retrieved during the surgery. The patients samples will be divided in two cohorts, the first will be a discovery cohort and the second one a validation cohort. The first cohort will consist in patients already collected. The validation cohort will include patients enrolled prospectively during the first year of the study.
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Detailed Description
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The main aims of the study are: 1) to analyze exposome, somatic/germline genetic variability, metabolomics and transcriptome profile in order to identify new biomarkers; 2) to use nonparametric epidemiologic approaches and machine learning algorithms to compute a progression score to offer clinicians an innovative tool towards the goal of a personalized medicine approach.
In order to fulfill all the aims of the study, the Invasive Cyst biomarker detection (INCITE) consortium will be set up between the participant centers.
The collection of samples is already ongoing at each UOs and the first aim is to bring together all the resources and create a common database and a common protocol for biobanking in order to carry out meaningful studies. So far, biological samples from 500 IPMNs have already been collected, among those 160 were surgically resected (50 invasive IPMNs, 40 high grade IPMNs and 70 low grade IPMNs), while 340 were under surveillance (255 were collected at the Pancreatobiliary Endoscopy unit of HSR, and other 85 at the endoscopy unit of ISMETT). During the first 12 months of the project, considering the current rate of recruitment, we will enroll another 100 IPMN undergoing surgical resection (30/40% rate of invasive tumors) and 200 under surveillance. All the centers will participate in the enrollment in a competitive manner. All samples will be stored and processed in the same manner. Whole blood, plasma/serum, cyst liquid and, in patients who undergo surgical resection, pancreatic tissue samples will be collected for all individuals. For patients that have been already recruited, biological material will be collected during the next routine appointment. The expertise of all UOs in collaborative projects and in coordinating consortia will make this aim feasible in the time that this project application imposes.
All the analyses described in the previous section will be carried out in the discovery (n=100 resected IPMNs) set. To achieve this, materials from each center will be sent to other units for their specific analyses. Each unit will carry out the tasks within its area of expertise, as mentioned previously. The Material Transfer Agreement (MTA) will be arranged to facilitate the transfer of samples between all the different units. All analyses will be conducted in the discovery cohort, but only those yielding significant results will be performed in the validation cohort (n=150 resected IPMNs) An additional advantage of the INCITE consortium is the availability of a large cohort of patients under surveillance (255 were collected at the Pancreatobiliary Endoscopy unit of HSR, and other 85 at the endoscopy unit of ISMETT), that will allow us to test the presence/absence of invasive biomarkers also in this setting (i.e absence of these biomarkers in patients with IPMN lacking WF/HRS under surveillance with a minimum follow-up of 4 years without IPMN progression and presence of the biomarkers in patients under surveillance that develop indication for surgery). The exact analysis that will be carried out on this population will depend on the results obtained in the discovery cohort. The variables that will show a statistically significant association also in the validation set will be combined in a score as detailed in aim 2.
AIM 2 The second aim of this proposal is to perform data analysis and integration, and to combine in a progression score the variables that show a statistically significant association in the validation set of patients with IPMNs. The main challenge of the INCITE consortium will be integration of the data, especially considering their heterogeneous nature in order to do it we will develop a specific eCRF were all the different UOs will upload the results of their own analysis. The specific analysis, already described above, will be performed by UO4, with the help of all the other UOs. Both nonparametric epidemiologic approaches and statistical methods will be used. Additionally, permutational multivariate analysis of variance (PERMANOVA) will be used to cluster patients according to their features into different groups and therefore identify the most relevant features to explain invasiveness. Furthermore, artificial intelligence and machine learning algorithms will be used to compute a progression score. The exact nature of the algorithms used will depend on the data exploration and data understanding.
Duration of enrollment: 12 months Duration of subject participation: All the procedures on the patients will be carried out during the hospital stay for the surgical patients and during the EUS procedure for the patients under surveillance .
Duration of total study period: 24 months
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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discover cohort
The discover cohort will consist in patients already collected
No interventions assigned to this group
Validation cohort
The validation cohort will include patients enrolled prospectively during the first year of the study
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* All patients will sign the informed consent
For the retrospective patients:
* confirmed IPMN diagnosis
* signed informed consent for samples biobanking and study participation
Exclusion Criteria
* Patients who are not able to supply an informed consent
18 Years
ALL
No
Sponsors
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University of Pisa
OTHER
Casa Sollievo della Sofferenza IRCCS
OTHER
The Mediterranean Institute for Transplantation and Advanced Specialized Therapies
OTHER
IRCCS San Raffaele
OTHER
Responsible Party
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Stefano Crippa
Associate Professor
Locations
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San Raffaele Hospital
Milan, MI, Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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INCITE
Identifier Type: -
Identifier Source: org_study_id
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