- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06607198
Clinical-pathological Evaluation of Pit-NETs (PitNET2024)
Clinical-pathological Assessment of Pit-NETs: Data From a Large Multicenter Patients Cohort
Pituitary adenomas, namely pituitary neuroendocrine tumors (PitNETs), are recognized as rare neoplasia by national and international institutions.
Albeit most PitNETs are slow-growing with an indolent behavior, about one-third do not achieve biochemical control, recur, re-grow, and resist conventional treatments.
The predictors of aggressive behavior have not been identified for PitNETs. In 2013 Trouillas and coworkers developed a five tiered clinicopathological score by mixing histopathological data and clinico-radiological evidence of invasion. This system proved of prognostic value. Nonetheless, unlike for NET of gut and lung, no formal grading and/or staging tools were developed. In addition, PitNETs have not been thoroughly investigated by radiomics to predict clinical behavior, nor have druggable pathways been elucidated in PitNET cells to unveil new potential therapeutic approaches.
The first aim of this project is to define grading and staging tools for PitNETs based on: i) lineage-specific transcription factors ; ii) cell type specification by hormone production (prolactin, TSH, LH, FSH, ACTH, GH or none); iii) integration of standard radiological measures with recognized tools for clinical and pathological staging.
The second aim of this project is to investigate radiomics features as predictors of PitNETs behavior, prognosis, and treatment outcome.
The third aim of this project is to investigate whether the expression of molecular biomarkers [Vascular Endothelial Growth Factor (VEGF), Epithelial Growth Factor Receptor (EGFR), somatostatin receptors 1-5 (SSTRs), Fibroblast Growth Factor (FGF), mTOR (mammalian target of rapamycin), Programmed cells Death 1 (PD1) and its ligands (PD-L1), and Cytotoxic T Lymphocyte Associated protein 4 (CTLA4)] may impact on patients prognosis. Identifying new molecular pathways may help fine-tune and schedule the emerging targeted therapies for aggressive PitNETs, including mTOR inhibitors, VEGF, EGFR, and immune check-point inhibitors.
This study will investigate a large multicenter retrospective series of 740 PitNET patients and a prospective cohort of 200 patients to reach these objectives.
Study Overview
Status
Conditions
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Guido Rindi
- Phone Number: +390630154433
- Email: guido.rindi@policlinicogemelli.it
Study Locations
-
-
Lazio
-
Roma, Lazio, Italy, 00168
- Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC ANATOMIA PATOLOGICA
-
Contact:
- Guido Rindi
- Phone Number: +390630154434
- Email: guido.rindi@policlinicogemelli.it
-
Principal Investigator:
- Guido Rindi
-
Sub-Investigator:
- Francesco Doglietto
-
Sub-Investigator:
- Sabrina Chiloiro
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Consecutive patients older than 18 years;
- availability of tumor samples for the required pathology analyses;
- clinico-radiological follow-up of at least 5-10 years
Exclusion Criteria:
- Not applicable for this study
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Grating and staging
Time Frame: 2 years
|
To investigate the following pathological features of PitNET cell lineage-specific transcription factors, cell type specification by hormone production, proliferative index, p53, mitotic count, expression of somatostatin receptors, through immunohistochemistry analysis on formalin-fixed paraffin-embedded samples of PitNETs
|
2 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
PitNET morphology analysis
Time Frame: 2 years
|
Identification of PitNET morphology features, as tumor maximum diameter, volume, sites of tumor extensions and invasion, and grading of cavernous sinus invasion though the revision of pre-surgical magnetic resonance images
|
2 years
|
|
Radiomics
Time Frame: 2 years
|
Radiomics features will be extracted and computed using the different standardized methods and platforms for quantitative imaging analysis though different standardized methods and platforms for quantitative imaging analysis.
Radiomics analysis will be realized after segmentations test-retest, to evaluate and quantify features' reproducibility.
|
2 years
|
|
Molecular test: proteomics
Time Frame: 2 years
|
To investigate on PitNets the expression of Vascular Endothelial Growth Factor (VEGF), Epithelial Growth Factor Receptor (EGFR), somatostatin receptors 1-5 (SSTRs), Fibroblast Growth Factor (FGF), mTOR (mammalian target of rapamycin), Programmed cells Death 1 (PD1) and its ligands (PD-L1), and Cytotoxic T Lymphocyte Associated protein 4 (CTLA4)] through proteomic analysis on formalin-fixed paraffin-embedded samples of PitNETs for patients retrospectively included and on frozen tissues for patients prospectively enrolled.
|
2 years
|
Collaborators and Investigators
Investigators
- Principal Investigator: Guido Rindi, Fondazione Policlinico Universitario A. Gemelli, IRCCS
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
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
- 6859
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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