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MicroRNA Expression Profiling-Potential Molecular Discrimination of Papillary Thyroid Carcinoma Subtypes
Horatiu Silaghi1, Laura Ancuța Pop2, Carmen Emanuela Georgescu3
1Department of Surgery V, "Iuliu Hatieganu" University of Medicine and Pharmacy Cluj-Napoca, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania.
Biomedicines
|January 23, 2024
Summary
This study identified a two-microRNA signature to distinguish between papillary thyroid cancer (PTC) subtypes, aiding molecular diagnosis. These findings enhance the diagnostic performance of existing molecular classifiers for thyroid cancer.
Area of Science:
- Molecular Biology
- Oncology
- Genetics
Background:
- MicroRNAs (miRNAs) play a crucial role in the diagnosis and progression of papillary thyroid cancer (PTC).
- Differentiating between specific PTC subtypes is essential for accurate diagnosis and treatment strategies.
Purpose of the Study:
- To identify a specific miRNA profile capable of differentiating between the infiltrative follicular variant of PTC (iFVPTC) and the conventional variant of PTC (cPTC).
Main Methods:
- A cross-sectional study involving RNA extraction from paraffin-embedded tissues of 43 PTC patients (17 iFVPTC, 26 cPTC).
- Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to evaluate the expression of nine specific miRNAs.
Main Results:
- Distinct miRNA expression patterns were observed between cPTC and iFVPTC.
- Five miRNAs (miR-146b-5p, miR-181a-5p, miR-221-3p, miR-21-5p, miR-222-3p) were altered in both subtypes.
- Two miRNAs (miR-20b-5p, miR-21-5p) were significantly expressed only in cPTC.
- Correlations between miRNA expression and clinical data (age, tumor size, lymph node metastasis) were identified in both groups, with specific miRNAs linked to these parameters in iFVPTC and cPTC.
Conclusions:
- A signature of two miRNAs was identified, confirming molecular differences between the two histological subtypes of PTC.
- These findings represent an advancement in the molecular diagnosis of thyroid cancer.
- The identified miRNA signature could potentially improve the diagnostic accuracy of existing molecular classifiers for PTC.

