Circulating Biomarkers to Identify Thyroid Cancer

NCT04594720 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2020-10-20

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

Identification group

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

OTHER

Validation group

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

Sponsors & Collaborators

  • Chang Gung Memorial Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-10-01
Primary Completion
2019-10-31
Completion
2020-09-30

Countries

  • Taiwan

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04594720 on ClinicalTrials.gov