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ReLF is a retrospective and prospective registry, finalized for care and research purposes. It is articulated in main sections - strongly related and mutually dependent on each other - corresponding to different data domains: personal information, clinical data, genetic data, genealogical data, surgeries, etc. This approach has been developed to corroborate and integrate data from different resources and aspects of the diseases and to correlate genetic background and phenotypic outcomes, in order to better investigate diseases pathophysiology. Due to legal requirements, institutional directives and organizational issues, we are unable to include individuals residing outside Italy in the registry at this time. We are currently engaged in the preparation of a recruitment process for individuals residing outside Italy.
The traditional method of collecting patient information is often chaotic, inconvenient, and sometimes even unsafe, particularly when dealing with rare diseases. In 2020, the need to simplify the diagnostic process and to overcome the difficulties of data storage and analysis, led to the suggestion of implementing the Registry of Li Fraumeni and Li Fraumeni Like syndromes (ReLF).
The ReLF relies on an IT Platform named GeDI (Genotype-phenotype Data Integration platform). This solution, realized by a collaboration among Department of Rare Skeletal Disorders and a local software-house (Dilaxia Spa), is a GDPR-compliant, multi-client, web-accessible system and it has been designed according to current medical informatics standards (Orphacode, ICD-10, Human Genome Variants Society, Findability Accessibility Interoperability Reusability -FAIR- Principles). GeDI is continuously implemented to improve management of persons with Li Fraumeni and Li Fraumeni Like Syndromes and to help researchers in analyzing collected information. ReLF is articulated in main sections:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients affected by Li Fraumeni and Li Fraumeni Like syndromes | The group comprises all patients affected by Li Fraumeni and Li Fraumeni Like syndromes |
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| Measure | Description | Time Frame |
|---|---|---|
| Natural History and Epidemiology | Assessment of epidemiological information. Anthropometric data: weight in kg, height in cm. In addition, weight and height will be combined to report BMI as kg/m^2 Clinical details of the tumor: site of the lesion, number of recurrence(s), presence/absence of metastasis, size of lesion in cm^3 Additional clinical data: type of surgery, age at surgery in years are updated at each follow up and retrospectively (when possible). Clinical reports, medical charts and imaging are the primary source of data. | Since the disease is rare, the timeframe is strictly related to patients enrolment and consequently to amount of collected data. Considering the low prevalence of this disease, the time frame is up to 10 years. |
| Measure | Description | Time Frame |
|---|---|---|
| Genotype-Phenotype Correlation | The secondary outcome comprises the correlation between genotype and phenotype. This includes, but is not limited to, clinical features and genetic background. This will be pursued using the information collected during visits and follow-ups and the genetic information resulting from molecular investigations. Collection of genetics background (target gene, type of mutation, clinical significance are reported following HGVS nomenclature) and family history (in terms of inheritance by maternal or paternal line). Anthropometric data (weight in kg, height in cm. In addition, weight and height will be combined to report BMI in kg/m^2), clinical details (site of the lesion, recurrence, metastasis), orthopedic and functional features are updated at each follow up. |
| Measure | Description | Time Frame |
|---|---|---|
| Inter- and intra-familial oncological characterization | This outcome aims to investigate similarities and difference of tumoral manifestation (site of the tumor, type of tumor, age at onset, grade of lesion) in patients affected by Li Fraumeni or Li Fraumeni Like syndromes within the families and among the families. | The timeframe is strictly related to patients enrolment and consequently to amount of collected data. Considering the low prevalence of this disease, the time frame is up to 10 years. |
Inclusion Criteria:
Exclusion Criteria:
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Patients affected by Li Fraumeni or Li Fraumeni Like syndromes
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Marina Mordenti, PhD | Contact | +39-0516366062 | registri.malattierare@ior.it | |
| Marcella Lanza, PhD | Contact | +39-0516366169 | registri.malattierare@ior.it |
| Name | Affiliation | Role |
|---|---|---|
| Luca Sangiorgi, MSc | Istituto Ortopedico Rizzoli | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Irccs Istituto Ortopedico Rizzoli | Recruiting | Bologna | Emilia-Romagna | 40136 | Italy |
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| ID | Term |
|---|---|
| D016864 | Li-Fraumeni Syndrome |
| C567189 | Li-Fraumeni-Like Syndrome |
| ID | Term |
|---|---|
| D009386 | Neoplastic Syndromes, Hereditary |
| D009369 | Neoplasms |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
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| The timeframe is strictly related to patients enrolment and consequently to amount of collected data. Considering the low prevalence of this disease, the time frame is up to 10 years. |
| IRCCS Istituto Ortopedico Rizzoli | Enrolling by invitation | Bologna | Emilia-Romagna | 40136 | Italy |
| D049914 | DNA Repair-Deficiency Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |