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NCT Number: NCT07532356

Integrating Tumor Genomics and Urinary Exosomal Proteomics to Establish a Multi-Layer Biomarker Framework for Early Risk Stratification and Post-Treatment Surveillance in Fresh Thyroid Cancer Patients

Thyroid cancer is the most common endocrine malignancy, and although differentiated thyroid cancer (DTC) generally confers favorable outcomes, 10-20% of patients still face substantial postoperative risks, including local recurrence, distant metastasis, and inadequate response to radioactive iodine therapy. Current risk stratification, largely based on tumor size, lymph node involvement, and histopathology, fails to adequately represent tumor heterogeneity and evolutionary changes, potentially resulting in both overtreatment and undertreatment. Next-generation sequencing (NGS) has revealed a stepwise accumulation of genomic alterations from early driver mutations (e.g., BRAF, RAS, RET/PTC, PAX8-PPARG) to late-stage progression events (e.g., TERT promoter, TP53, PI3K/AKT/mTOR), while metastatic lesions often harbor high-risk mutations absent in primary tumors, underscoring the limitations of single-time-point tissue sampling. Furthermore, serum thyroglobulin (Tg) surveillance is hindered in patients with anti-Tg antibodies. Extracellular vesicles (EVs), particularly those obtained from urine, provide a compelling liquid biopsy modality due to their non-invasiveness, repeatability, and reduced interference by abundant serum proteins. The investigators' previous findings demonstrate that urinary exosomal peptides-including U-Ex Tg, ANXA2, TIMP, and Angiopoietin-1-correlate with malignancy, capsular invasion, and nodal metastasis, and exhibit dynamic postoperative variation, suggesting their utility in detecting molecular residual disease.

This prospective study will recruit 100 fresh thyroid cancer cases and integrate tumor genomic profiling, urinary exosomal proteomics via LC-MRM/MS, and clinical phenotype assessment-including nodal involvement, subsequent therapies, and long-term outcomes-to delineate causal links between genomic drivers, proteomic execution signals, and clinical progression. The overarching aim is to establish an early risk-stratification and molecular recurrence-alerting model capable of identifying high-risk trajectories earlier than conventional approaches, thereby enhancing surveillance precision and enabling timely intervention. This multi-layered biomarker framework holds strong potential to redefine postoperative monitoring standards and advance the clinical and policy implementation of precision medicine in thyroid cancer.

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Key information

About this study

This prospective clinical study is designed to enroll patients, aged between 18 to 80 years, with newly diagnosed papillary thyroid carcinoma (PTC) or highly suspicious follicular-pattern neoplasms, including lesions with potential for poorly differentiated thyroid carcinoma. Eligible patients must have undergone fine-needle aspiration cytology (FNAC) as part of the diagnostic work-up. (This is a routine examination that the subject would undergo regardless of study participation.) Cytological reports and subsequent comprehensive surgical pathology assessments will be systematically documented and reviewed to ensure accurate classification of each case. Across the first two years of study implementation, we aim to recruit 100 consecutive patients presenting with untreated, or "fresh," thyroid cancer. For individuals undergoing surgery, urinary exosomal peptide profiling will be conducted at two standardized time points: (1) preoperatively, and (2) four weeks after thyroidectomy, allowing assessment of perioperative biomarker dynamics. Surgical treatment-anticipated to be total thyroidectomy in most cases-will be performed according to standard clinical judgment by experienced endocrine surgeons. Postoperative pathological evaluation will include meticulous characterization of tumor morphology, invasion patterns, and molecular features, based on finalized histopathological reports. In parallel, this study incorporates a robust tumor genomic investigation supported by our previously developed and validated next-generation sequencing (NGS) platforms. Under prior funding from the National Science and Technology Council (NSTC), the investigators established a thyroid cancer-specific DNA-based gene panel targeting 50 key oncogenic drivers and a complementary RNA-based fusion panel covering 19 clinically relevant gene rearrangements. These panels were curated through comprehensive interrogation of internationally recognized cancer genomic repositories, based on previous successfully completed somatic variant profiling in 51 patients with metastatic thyroid cancer, including 29 paired primary-metastatic tumor analyses, demonstrating strong capability for high-resolution comparative cancer genomics. Furthermore, the investigators have established technical proficiency in polyguanine marker analysis for phylogenetic inference of tumor evolution, and have previously performed whole-genome sequencing (WGS) and HLA genotyping in large-scale association studies. Notably, the investigators' WGS-based investigations identified genetic susceptibility to antithyroid drug-induced agranulocytosis through a rigorous, two-stage analytic strategy. Overall, this integrated study design enables simultaneous evaluation of genomic initiation and progression alongside urinary exosomal peptide expression, positioning this work to elucidate mechanistic relationships between tumor molecular biology and non-invasive biomarkers for disease surveillance and precision-guided management.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Aged 18 to 80 years
  • Newly diagnosed Papillary Thyroid Carcinoma (PTC) or highly suspected follicular thyroid neoplasms (including lesions with potential progression to poorly differentiated thyroid carcinoma)
  • Pre-operative status

Exclusion criteria

  • Aged <18 or >80 years
  • No confirmed diagnosis of Papillary Thyroid Carcinoma (PTC)
  • No highly suspected follicular thyroid neoplasms (including lesions with potential progression to poorly differentiated thyroid carcinoma)

Treatment and study plan

Primary outcomes

  1. Change of serum thyroglobulin level

    Time frame: Within 12 months

    Thyroid function test

  2. Change of serum free T4 level

    Time frame: Within 12 months

    Thyroid function test

  3. Change of serum TSH level

    Time frame: Within 12 months

    Thyroid function test

  4. Change of anti-thyroglobulin level

    Time frame: Within 12 months

    Thyroid function test

  5. Urinary exosomal thyroglobulin detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  6. Urinary exosomal galectin-3 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  7. Urinary exosomal calprotectin A9 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  8. Urinary exosomal transketolase detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  9. Urinary exosomal keratin 19 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  10. Urinary exosomal angiopoietin-1 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  11. Urinary exosomal tissue inhibitor of metalloproteinase detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  12. Urinary exosomal keratin 8 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  13. Urinary exosomal calprotectin A8 detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  14. Urinary exosomal annexin II detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  15. Urinary exosomal afamin detection

    Time frame: Within 12 months

    Urinary exosomal biomarker

  16. NGS assay

    Time frame: Within 12 months

    ultimately incorporated 50 mutation-targeted genes and 19 fusion-targeted genes known to contribute to the pathogenesis and clinical behavior of thyroid cancer

  17. Pathology of post-operative thyroid tissue

    Time frame: Within 12 months

    • Tumor type; 2) Tumor size and volume; 3) Encapsulation; 4) Surgical margin involvement: nearest distance to surgical margin; 5) Capsular invasion; 6) Angioinvasion (Vascular invasion); 7) Lymphatic invasion; 8) Extra-thyroidal extension; 9) lymphocytic thyroiditis background; 10) TNM staging; 11) Distribution of lymph nodes metastatic over neck (Level I -VI); 12) Immunohistochemical staining: BRAFV600E, PAX8, TERT, HBME-1 and Galectin-3.
  18. Somatic Mutation Detection

    Time frame: Within 12 months

    detect somatic mutations

  19. Fusion Detection

    Time frame: Within 12 months

    To characterize the mutational landscape across different histological subtypes of thyroid cancer and to investigate intra-patient spatial genomic heterogeneity between primary and metastatic tumors, as well as to evaluate the clinical relevance of these molecular differences.

Secondary outcomes

  1. Thyroid fine needle aspiration cytology

    Time frame: Within 12 months

    Thyroid function test

  2. Ultrasonography of thyroid nodules

    Time frame: Within 12 months

    Thyroid function test

Study contacts

Contact information is provided by the study sponsor or research team.

CHIH-YUAN WANG, Doctor

CONTACT

[email protected]

+886-2-23123456 ext. 265371

PEI-JIE HUANG, Bachelor

CONTACT

[email protected]

+886-2-23123456 ext. 265051

Sponsors and collaborators

Lead sponsor

National Taiwan University Hospital

Other

Registry information

Important dates

Study start
2026
Primary completion
2030
Study completion
2031
First posted
Apr 15, 2026
Registry last updated
Apr 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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