Molecular Classifier for the Fine Needle-based Assessment of Malignancy Risk in Thyroid Nodules

This study evaluates the usefulness of molecular classifier to aid the diagnosis of malignancy in the material obtained by fine-needle aspiration biopsy (FNAB) of thyroid nodule. All participants will undergo FNAB with routine cytological assessment and molecular testing. Patients will undergo surgery or be followed-up, according to the clinical guidelines. The diagnostic power of combined molecular/clinical classifier will be compared to prediction based on clinical features only, by investigators blinded to the final diagnosis of surgical assessment.

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Key information

Conditions

Thyroid Nodule Endocrine Gland Neoplasms Endocrine System Diseases Head and Neck Neoplasms Neoplasms Neoplasms by Site Thyroid Cancer Thyroid Diseases Thyroid Neoplasm Thyroid Neoplasms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Maria Sklodowska-Curie Memorial Cancer Center, Institute of Oncology

Gliwice, 44-101, Poland

About this study

Currently, the diagnosis of malignancy of thyroid nodule is based on cytological assessment of fine-needle aspiration biopsy (FNAB) classified according to the Bethesda System for Reporting of Thyroid Cytopathology. This does not allow for the definitive diagnosis of cancer in significant proportion of tumors, so called indeterminate nodules (Bethesda class III, IV and V). These patients require surgery to establish a definitive diagnosis, leading to unnecessary operating procedures in at least 2/3 of subjects.

Molecular classifiers could significantly improve thyroid preoperative diagnostics, although they are not optimal and provide either high specificity to the detriment of low sensitivity or conversely, relatively low specificity with high sensitivity. The classifiers could be based on gene expression or mutations present in FNAB specimen.

In the present study the investigators plan to assess the improvement of classification power by molecular gene-expression-based multi-feature classifier when added to standard clinical parameters indicating the risk of malignancy (Bethesda class, tumor size, patient age and sex). Participants will undergo FNAB with prospective collection of material for molecular testing and simultaneous preoperative recording of all clinical parameters. The patients will be operated on or followed-up according to the clinical guidelines. The comparison of a predictive power of clinical criteria to the combined clinical-molecular classifier will be carried out by the group of investigators blinded to the results of final surgery.

Who can participate

Healthy volunteers accepted: No

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

Inclusion criteria

a diagnosis of thyroid nodule
considerable chance for surgical procedure following biopsy result
patient's consent for collection of material during routine fine needle aspiration biopsy

Exclusion criteria

age below 18 years
the presence of contraindications that make surgical treatment impossible
prior diagnosis of thyroid cancer
antithrombotic treatment except of acetylsalicylic acid or low molecular weight heparin at a prophylactic dose

Treatment and study plan

Primary outcomes

Diagnostic accuracy in patients with indeterminate FNAB results who undergone surgery within 6 months from biopsy

Time frame: until surgery or 6 months from biopsy

The improvement in accuracy of classification will be compared between sole clinical criteria (Bethesda class, tumor size, age, and sex) and combined classifier built on both clinical parameters and gene expression data. The population of indeterminate nodules will be defined by expert analysis of cytological samples by pathologists blinded to the outcome of surgery. Diagnostic accuracy will defined as the percentage of patients who were correctly diagnosed as benign or malignant based on the data available preoperatively.

Secondary outcomes

Diagnostic accuracy in all patients recruited to the study, who were operated on or remained in follow-up for at least 24 months from biopsy.

Time frame: until surgery or 24 months from biopsy

The improvement in accuracy of classification will be compared between sole clinical criteria (Bethesda class, tumor size, age, and sex) and combined classifier built on both clinical parameters and gene expression data. All patients after surgery will be included. Tumors in patients not operated on will be considered benign after confirmation of stable tumor status at least with 24 months follow-up. Patients not operated on and with shorter follow-up will be excluded.

Sponsors and collaborators

Lead sponsor

Maria Sklodowska-Curie National Research Institute of Oncology

Other

Registry information

Official study title

Prospective Validation of the Molecular Classifier for the Fine Needle-based Assessment of Malignancy Risk in Thyroid Nodules

Acronym: ThyroPred-1

Important dates

Study start: 2017
Primary completion: 2020
Study completion: 2020
First posted: Jan 8, 2018
Registry last updated: Sep 5, 2021

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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Completed