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Objectives:
The aim of the present study is to assess the significance of metabolomics and genetics in diagnosing and survival evaluation for pNET in the periodic follow-up of MEN1 patients.
Aim 1: To evaluate the relationship of serum global metabolic profiles with subsequent development of aggressive PNET and evaluate patients survival in a nested case-control study of MEN1 patients who have developed aggressive PNETs (cases) and MEN1 patients who have developed non-aggressive PNETs (controls).
Aim 2: Validate the top serum metabolites identified from Aim 1 in MEN1 patients who have developed aggressive PNETs and MEN1 patients who have developed non-aggressive PNETs, using a targeted metabolomics approach.
Aim 3: Prospectively identify the potential miRNA biomarkers of serum with miRNA sequencing in MEN1 patients who have developed aggressive PNETs (cases) and MEN1 patients who have developed non-aggressive PNETs (controls).
Aim 4: Validate the potential miRNA biomarkers identified from Aim 1 in MEN1 patients who have developed aggressive PNETs and in MEN1 patients who have developed non-aggressive PNETs, using a targeted qRT-PCR approach (in serums), as well as to see the relationship of potential miRNA biomarkers with patients survival.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MEN1 Patients Who Have Developed Aggressive PNETs-Cases | |||
| MEN1 Patients Who Have Developed Non-Aggressive PNETs-Controls |
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| Measure | Description | Time Frame |
|---|---|---|
| Relationship of Serum Global Metabolic Profiles with Subsequent Development of Aggressive PNET | Review of samples from 50 cases (aggressive PNET) and 50 controls (non-aggressive PNET). | 10 years |
| Measure | Description | Time Frame |
|---|---|---|
| Prediction of Occurrence of Aggressive PNET among MEN1 Patients by Examining Patterns of Serum Metabolic Biomarkers | Advanced metabolomics technology used to demonstrate that various patterns of serum metabolic biomarkers can predict the occurrence of aggressive PNET among MEN1 patients. | 10 years |
| Prospectively Identify Potential miRNA Biomarkers of Serum with miRNA Sequencing in MEN1 Patients Who Have Developed Aggressive PNETs (Cases) and MEN1 Patients Who Have Developed Non-Aggressive PNETs (Controls) |
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Inclusion Criteria:
Exclusion Criteria:
N/A
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Study subjects identified from a cohort of MEN1 patients. These patients had previously consented to collection of clinical data, blood, and parathyroid tissue for research purposes at MD Anderson Cancer Center.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nancy D. Perrier, MD | Contact | 713-792-6940 | NPerrier@mdanderson.org |
| Name | Affiliation | Role |
|---|---|---|
| Nancy D. Perrier, MD | M.D. Anderson Cancer Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Texas MD Anderson Cancer Center | Recruiting | Houston | Texas | 77030 | United States |
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| Label | URL |
|---|---|
| University of Texas MD Anderson Cancer Center Website | View source |
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| ID | Term |
|---|---|
| D009377 | Multiple Endocrine Neoplasia |
| D018242 | Neuroectodermal Tumors, Primitive |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D009378 | Neoplasms, Multiple Primary |
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The levels of miRNA in each group defined as mean ±SD. One-way ANOVA used to identify possible associations between miRNA concentrations and clinicopathological features of aggressive patients. |
| 10 years |
| D009386 |
| Neoplastic Syndromes, Hereditary |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D004700 | Endocrine System Diseases |
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |