Whether Detection of Gene Mutations Could Identify Low- or High-Risk Papillary Thyroid Microcarcinoma? Data from 393 Cases Using the Next-Generation Sequencing

Molecular Profiling of Low-Risk Papillary Thyroid Carcinoma (mPTC) on Active Surveillance

CONTEXT

The active surveillance (AS) program for papillary thyroid carcinoma (≤1 cm) at low risk (mPTC) showed a low percentage of progression.

OBJECTIVE

The aim of this study was to find a molecular signature of cases that showed disease progression during AS, which would allow their early identification.

METHODS

We performed next-generation sequencing of 95 fine-needle aspiration cytology specimens from cases prospectively enrolled in the AS program to analyze key somatic driver alterations or gene fusions implicated in PTC tumorigenesis. TERT promoter analysis was performed using Sanger sequencing or droplet digital polymerase chain reaction.

RESULTS

BRAF p.V600E was found in 66.3% (63/95) of mPTC and was the most common somatic alteration, followed by RAS oncogene mutations detected in 3.2% of mPTC (3/95: 2 NRAS and 1 KRAS) and gene fusions detected in 3.2% of mPTC (3/95: 1 RET-PTC1, 1 TFG-NTRK1, 1 ALK imbalance). No TERT promoter mutations (C228T and C250T) were found in the analyzed mPTC (84/95). The comparison between the molecular profile and the clinical outcome of the mPTC (stable vs progressive disease) showed no correlation (P = .6) and did not identify a molecular signature able to identify progressive mPTC.

CONCLUSION

The molecular profile of mPTC is like that of bigger PTC with the exception that none of them showed a TERT promoter mutation. The identification of the most common driver mutations, such as BRAF, RAS, or gene fusions, is not helpful for the early identification of mPTC that will show disease progression during follow-up in the AS program.

Tumor growth manifested in two-fifths of low-risk papillary thyroid microcarcinoma patients during active surveillance: data from a tertiary center in China

Purpose

To assess tumor growth using tumor doubling rate (TDR) during active surveillance (AS) in China.

Methods

Between January 2016 and June 2020, a total of 219 patients with low-risk papillary thyroid microcarcinoma (PTMC) (aged 23-75 years) were consecutively enrolled in the AS program.

Results

Four sections of TDR, >0.5, 0.1~0.5, -0.1~0.1 and <-0.1, corresponded with four categories of tumor volume kinetics: rapid growth, slow growth, stable, and decreased size. We found that 10.5% of PTMCs exhibited rapid growth, 33.33% exhibited slow growth, 26.48% were stable, and 29.68% decreased in size. Tumor growth was associated with two factors: age and volume of PTMC at diagnosis. 85.72% of elderly patients (≥ 61 years old) had tumors that remained stable or even shrank and rapidly growing tumors were not found in them. When the volume was small (≤14.13 mm3), the proportion of rapid growth was high (41.67%), whereas when the volume was large (> 179.5 mm3), the proportion of non-growth was 68.75%.

Conclusion

TDR may be a better metric for evaluating tumor growth in observational PTMCs. A certain proportion of PTMCs grow during the period of AS and tumor growth was associated with age and volume of PTMC at initial diagnosis. Therefore, how to block tumor growth during the AS period, especially for young patients and patients with early-stage PTMC (size ≤ 5 mm), will be a new challenge.