microRNA in Thyroid Cancer

NCT ID: NCT01964508

Last Updated: 2022-03-31

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

77 participants

Study Classification

OBSERVATIONAL

Study Start Date

2013-09-12

Study Completion Date

2015-12-30

Brief Summary

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Thyroid cancer is the most common endocrine malignancy and its incidence is rapidly increasing. Palpable thyroid nodules are very common, affecting up to 5% of the general population. Nevertheless, only 5% of the thyroid nodules harbor malignancy, hence the obvious need to accurately characterise these nodules. Ultrasound guided fine needle aspiration biopsy (FNAB) is the most important tool in assessing the nature of thyroid nodules, however, in up to 30% of the biopsies the results are indeterminate. In this proposal, the investigators hypothesize that leftover cells in the FNAB needle may be utilized for molecular analysis with an established microRNA panel and distinguish between malignant and benign lesions. Despite established studies on the diagnostic utility of microRNAs in thyroid nodules, the effect of microRNAs on specific target genes involved in thyroid cancer is poorly studied. In this proposal the investigators hypothesize that the microRNAs identified in our panel will affect intracellular pathways by regulating target genes that are involved in thyroid tumorigenesis. The investigators present preliminary data that confirms that microRNA panel may identify malignancy in thyroid nodules. In aim 1 the investigators will identify the expression profile of miRNAs in the different thyroid cancers. the investigators will statistically quantify the threshold of miRNA dysregulation for malignancy on a large number of tumor and benign samples. This will serve as matrix for defining malignancy on the FNAB samples. In aim 2 the investigators will establish a reliable reproducible method to extract RNA from cells left over in FNAB samples. the investigators' preliminary data support the feasibility of the method and it has not been described previously. This will be the first study that will compare cytology results and microRNA panel analysis on the very same FNAB cells. It will mimic the exact clinical scenario that such microRNA panel can be utilized in the future. Finally, in aim 3 the investigators will characterize the effect of microRNAs on target genes expression. the investigators will identify possible target genes from bioinformatics databases and will perform quantitative measurement of mRNA level of target gene by real time PCR and immunohistochemistry. These studies will hopefully support the utility of microRNAs as a diagnostic tool to accurately identify malignancy in thyroid FNAB leftover cells and point out possible target genes for future therapeutic approaches. This could impact many patients, as thyroid cancer is the 5th most common cancer in women, and the most rapidly growing malignancy in both men and women.

Detailed Description

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Conditions

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FNA microRNA Thyroid Cancer Thyroid Nodule

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Thyroid nodule

Patients with thyroid nodules undergoing FNA.

Fine needle aspiration

Intervention Type OTHER

Interventions

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Fine needle aspiration

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients undergoing thyroid nodule biopsy; patients signing informed consent

Exclusion Criteria

* Patients that cannot sign an informed consent form.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Hadassah Medical Organization

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Hadassah Medical Organization

Jerusalem, , Israel

Site Status

Countries

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Israel

Other Identifiers

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HM0003-HMO-CTIL

Identifier Type: -

Identifier Source: org_study_id

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