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Over the past twenty years, a progressively increasing number of markers biochemical, clinical, imaging, histopathological or genetic have been suggested to attempt to predict aggression and therapeutic outcome, both in secretory PitNETs and in non-secretory PitNETs. In recent years, the microenvironment tumor (TEM) has been extensively studied in different malignancies, promoting the development of therapies target and immunotherapy with checkpoint inhibitors immune system (ICI). Data on TIME in PitNETs are scarce today and derive from studies conducted mainly on heterogeneous cases for type of PitNET. Therefore, the purpose of this research project is to investigate the TIME in PitNET, to identify immune biomarkers and new molecular pathways that can promote the use of ICI and target therapies in Aggressive PitNETs.
Pituitary adenomas are currently recognized such as pituitary neuroendocrine tumors (PitNETs), as originating from the neuroendocrine cells of the pituitary gland and represent about 10% of all intracranial tumors. Over the past twenty years, a progressively increasing number of markers biochemical, clinical, imaging, histopathological or genetic have been suggested to attempt to predict aggression and therapeutic outcome, both in secretory PitNETs and in non-secretory PitNETs, such as concentration blood tests of secreted hormones, the patient's gender, the age at onset of the disease, the size of the tumor, signs of local invasiveness, tumor indices of proliferation and mitotic indices. However, unique and reproducible markers of tumor aggressiveness and outcome have been identified therapeutic. In recent years, the microenvironment tumor (TEM) has been extensively studied in different malignancies, promoting the development of therapies target and immunotherapy with checkpoint inhibitors immune system (ICI). Data on TIME in PitNETs are scarce today and derive from studies conducted mainly on heterogeneous cases for type of PitNET. Plus most of the studies on TIME in PitNETs they were focused on study of the inflammatory cellular infiltrate and in particular on lymphocyte populations, showing a heterogeneous phenotype during the different phases of the natural history of neoplastic pathology. Therefore, the purpose of this research project is to investigate the TIME in PitNET, to identify immune biomarkers and new molecular pathways that can promote the use of ICI and target therapies in Aggressive PitNETs.
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| Measure | Description | Time Frame |
|---|---|---|
| Cells immune systems | Quantify and locate cells immune systems (lymphocytes CD3, CD4, CD8, CD20, CD138, CD68+ macrophages) associated with the various PitNET subtypes in the study | 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| Chemokines in PitNETS samples | Identify cytokines and chemokines in PitNETS samples, through Human Cytokine antibody Array ab 133997 | 24 months |
| Chemokines in PitNETS samples | Quantify cytokines and chemokines in PitNETS samples, through Human Cytokine antibody Array ab 133997 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with pituitary adenomas
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sabrina Chiloiro | Contact | +390630154440 | sabrina.chiloiro@policlinicogemelli.it |
| Name | Affiliation | Role |
|---|---|---|
| Sabrina Chiloiro | Fondazione Policlinico Universitario Agostino Gemelli IRCCS | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC ENDOCRINOLOGIA | Recruiting | Rome | Lazio | 00168 | Italy |
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| ID | Term |
|---|---|
| D010911 | Pituitary Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D007029 | Hypothalamic Neoplasms |
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| 24 months |
| pituitary antibodies in PitNET | Quantify plasma pituitary antibodies associated with the various subtypes of PitNET under study | 24 months |
| Identify the biomarkers associated with the various PitNET subtypes, anatomical-pathological and morphological characteristics, surgical outcome and response to medical therapy in PitNET | Identify the biomarkers associated with the various PitNET subtypes, anatomical-pathological and morphological characteristics, surgical outcome and response to medical therapy, through statistical software R. We will use clinical parameters for the measurement. | 24 months |
| D015173 |
| Supratentorial Neoplasms |
| D001932 | Brain Neoplasms |
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D007027 | Hypothalamic Diseases |
| D010900 | Pituitary Diseases |
| D004700 | Endocrine System Diseases |