The poor prognosis of metastatic DTC is closely related to the development of resistance to RAI therapy. The disabling of RAI uptake proposed a particularly severe challenge to patient management. On the one hand, the early detection of RAIR-DTC to further adjust the scope of operation and treatment provides guidance. On the other hand, the early detection of RAIR-DTC can avoid unnecessary 131I repeat treatment. The BRAF V600E mutation was reported to be a promising molecular marker for predicting decreased iodine uptake in DM[8], and co-mutations of BRAF V600E and TERTp mutations may be predictors of RAI resistance in patients with DM[12].The co-mutations develop into a genetic background by activating a novel BRAF/MAP kinase/FOS/GABP/TERT pathway system[13].This may provide a molecular explanation for the link between the two mutations and the loss of RAI activity, which renders tumors resistant to RAI treatment and thus leads to poor clinical outcomes. In the DM-DTC patients in the present study, the BRAF mutation rate was 39.5% (45/114) and the TERTp mutation rate was 22.9% (25/109), which was like that reported in the literature[12]. In this study, the prevalence of coexisting BRAF V600E and TERTp mutations was 13.08% (14/107). Of the 14 co-mutation patients, 13 developed RAI resistance, and 9 of these patients, the metastases did not uptake iodine. These results confirmed that the co-mutation of BRAF and TERTp was associated with RAI resistance. The TERTp mutation rate detected in RAIR group was much higher than that in the RAIE group. TERTp mutation rate was correlated with the aggressiveness of thyroid cancer[14]. In this study, three patients were histologically diagnosed with the high-cell subtype (one of the most aggressive histologic subtypes), and two of them had TERTp mutations. Four patients of RAIR group died, all of which were TERTp mutations, suggesting that TERTp mutations may be associated with poor prognosis. Consistent with previous findings, we believe that TERTp mutation of DM-DTC may be a risk factor for iodine-resistant diseases[12].
This study found that age of 55 years or older was a risk factor for disease progression in the RAIR group. Patient age at the time of thyroid cancer diagnosis is a well-established prognostic factor for thyroid cancer survival[15].Most studies have also indicated that age is an important factor affecting the efficacy of 131I treatment of thyroid cancer metastases. Age is an important prognostic factor and was adopted by the UICC TNM classification system[16], AMES[17] and MACIS[18]. Older patients are often diagnosed with larger tumors and are more likely to advance to advanced stages. Therefore, age is a key factor in the prognosis and staging of thyroid cancer. It has been reported that the long-term survival of patients with distant metastasis depends, among other factors, on age and the degree of radioactive iodine uptake in patients with DM[19]. DTC patients aged > 60 years still have a significant decline in survival compared with DTC patients aged < 45 years[20]. This study is the first to present risk factors for disease progression in DM-DTC aged 55 years or older with RAIR, which is somewhat innovative. More data are expected to further validate and discover more risk factors.
There are some limitations to this retrospective study. Due to the short follow-up time and small number of enrolled patients, it is not possible to further analyze the impact of initial targeting time on patient prognosis, nor the risk factors for disease progression in iodine-resistant patients. No other important genes for iodine metabolism were included in the human analysis, so follow-up collection of cases treated in accordance with the guidelines will continue and known genome-wide testing will be performed when conditions permit. In future studies, the detection of primary and metastatic lesions in the same case will be considered to make the study more accurate. Our research has an important clinical significance for patients and clinicians. Disease prognosis of specificity, and overall survival of different groups can be used to inform treatment decisions and how to customize according to the severity of disease best long-term monitoring. For example, patients with characteristics associated with low survival may require closer follow-up and the possibility of starting a systemic treatment regimen earlier, leading to more intensive treatment. Conversely, patients with characteristics associated with poorer survival may require less intensive treatment and may be able to transition earlier from specialist to primary care physicians for long-term monitoring than patients with poorer survival. In addition, our study identifies those patients at highest risk for poor survival outcomes that can be used to influence clinicians' recommendations regarding recruitment and recruitment for thyroid cancer clinical trials.