Molecular and Immunohistochemical Profiling of Parathyroid Tumors
This observational study is looking at parathyroid tumors, including parathyroid gland adenoma (a non-cancerous tumor), atypical adenoma, and carcinoma (cancer). Researchers are studying previously collected tumor tissue and blood samples through molecular and immunohistochemical profiling. This involves analyzing the samples in the lab to identify potential genes that could help doctors diagnose parathyroid tumors more accurately. The goal is to improve diagnosis, avoid unnecessary surgeries, and reduce patient stress. This study aims to understand the differences between various types of parathyroid tumors and find better diagnostic tools. The study plans to include 310 participants, and its current status is unclear.
- Study design
- This is an observational study that will analyze previously collected samples from 310 participants. It is not a treatment study.
- What's involved
- This study uses previously collected tumor tissue and blood samples, so participants do not need to undergo new procedures.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will measure biomarker levels and identify potential diagnostic genes for up to 4 years.
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Molecular and Immunohistochemical Profiling of Tumors in Patients With Parathyroid Tumors
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Nancy Perrier · PRINCIPAL_INVESTIGATOR · M.D. Anderson Cancer Center
Who to contact
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Inclusion
Exclusion
What this trial measures
- Biomarker levelsUp to 4 years
Will be reported as 0 (negative), 1 (low intensity), 2 (medium intensity), or 3 (high intensity). Sensitivity, specificity, and accuracy will be reported for each cutoff for each biomarker separately to categorize tumor types. Receiver operating characteristic (ROC) analysis will be employed to graphically summarize the tradeoffs between sensitivity and specificity for different cutoffs. Several different combinations of tumor types are of interest: parathyroid carcinoma (PC) versus (vs.) atypical neoplasm (AN), PC vs. parathyroid adenoma (PA), PN vs. PA, PC/AN vs. PA, and PC vs. AN/PA. Separately analyses will be performed for each. Following univariable analyses, a multivariable logistic regression model will be fit (again, separately for each combination of tumor types) to assess the ability of multiple markers to classify patients, and ROC analysis will also be used to summarize the performance of the resulting model.
- Identify the potential genes that can be used in patients with parathyroid tumors for diagnostic purposesUp to 4 years
Genomic analysis of tumor samples will be performed to identify molecular aberrations for which novel targeted therapies have been recently developed. Statistical analyses will be conducted by using 2-sample t-test. Other appropriate statistical methods may also be employed (e.g., non-parametric tests, analysis of variance \[ANOVA\], or statistical classifications) depending on the endpoint and research interest.