Circulating Biomarkers to Identify Thyroid Cancer

NCT ID: NCT04594720

Last Updated: 2020-10-20

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

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-10-01

Study Completion Date

2020-09-30

Brief Summary

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This study aimed to identify the potential circulating biomarkers of protein, mRNAs, and long non-coding RNAs (lncRNAs) to differentiate the papillary thyroid cancers from benign thyroid tumors. Methods: The study population of 100 patients was classified into identification (10 patients with papillary thyroid cancers and 10 patients with benign thyroid tumors) and validation groups (45 patients with papillary thyroid cancers and 35 patients with benign thyroid tumors). The Sengenics Immunome Protein Array combined data mining approach using the Open Targets Platform was used to identify the putative protein biomarkers, and their expression validated using the enzyme-linked immunosorbent assay. Next-generation sequencing by Illumina HiSeq was used for the detection of dysregulated mRNAs and lncRNAs. The website Timer v2.0 helped identify the putative mRNA biomarkers, which were significantly over-expressed in papillary thyroid cancers than in adjacent normal thyroid tissue. The mRNA and lncRNAs biomarker expression was validated by a real-time polymerase chain reaction.

Detailed Description

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Novel biomarkers identification from liquid biopsy samples is in great demand for the diagnosis for malignant diseases. Generally, blood sampling is less invasive and could be carried out repeatedly. In addition to protein markers, circulating nucleic acids are promising sources of cancer biomarkers , since circulating nucleic acids provide information on the genome or gene expression , and harbor wealth of health and disease status information. The long non-coding RNAs (lncRNAs) are the transcripts longer than 200 nucleotides in length and act as prominent regulators of gene expression. Accumulating evidence demonstrated the involvement of lncRNA dysregulation in a variety of cancers, and their expression is associated with cancer development and metastasis. This study was designed to identify the potential protein and RNA biomarkers in the blood for differentiating a malignant thyroid tumor from a benign thyroid nodule. In this study, only patients with papillary thyroid carcinoma, the most common type of thyroid cancer, were chosen for comparison with those with benign thyroid tumors to simplify the comparison.

Conditions

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Thyroid Cancer Thyroid Cancer, Papillary Benign Thyroid Tumor

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Thyroid cancers

Enrolled study population have papillary thyroid cancers and benign thyroid tumors

Identification group

Intervention Type OTHER

papillary thyroid cancers (n=10) and benign thyroid tumors (n=10)

Validation group

Intervention Type OTHER

papillary thyroid cancers (n=45) and benign thyroid tumors (n=35)

Interventions

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Identification group

papillary thyroid cancers (n=10) and benign thyroid tumors (n=10)

Intervention Type OTHER

Validation group

papillary thyroid cancers (n=45) and benign thyroid tumors (n=35)

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients with thyroid nodules who received total or subtotal thyroidectomy
* Patients aged 20 years and above

Exclusion Criteria

* Patients with any other type of cancer, immunocompromised disease, or autoimmune disease.
Minimum Eligible Age

20 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Chang Gung Memorial Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Kaohsiung Chang Gung Memorial Hospital

Kaohsiung City, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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201801437B0

Identifier Type: -

Identifier Source: org_study_id

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