Skip to main content

Pretreatment level of circulating tumor cells is associated with lymph node metastasis in papillary thyroid carcinoma patients with ≤ 55 years old

Abstract

Objective

To investigate the relationship of pretreatment of circulating tumor cells (CTCs) and cervical lymph node metastasis (LNM) (central LNM (CLNM) and lateral LNM (LLNM)) in papillary thyroid carcinoma (PTC) patients with ≤ 55 years old.

Methods

Clinicopathological data (CTCs level, Hashimoto’s thyroiditis, thyroid function, multifocal, tumor size, invaded capsule, clinical stage, and LNM) of 588 PTC patients with ≤ 55 years old were retrospectively collected. The relationship of CLNM, LLNM and the clinical features of patients was analyzed. Univariate and multivariate logistic regression analyses were used to evaluate the relationship between the CTCs and CLNM, LLNM.

Results

There were 273(46.4%) and 89(15.1%) patients with CLNM and LLNM, respectively. Patients with CLNM had higher proportions of multifocality, tumor size > 1 cm, invaded capsule, and positive CTCs level than those without (all p < 0.05). Patients with LLNM had higher proportions of multifocality, tumor size > 1 cm, and invaded capsule than those without (all p < 0.05). Logistic regression analysis showed that multifocality (odds ratio (OR): 1.821, 95% confidence interval (CI): 1.230–2.698, p = 0.003), tumor size > 1 cm (OR: 3.444, 95% CI: 2.296–5.167, p < 0.001), invaded capsule (OR: 1.699, 95% CI: 1.167–2.473, p = 0.006), and positive CTCs level (OR: 1.469, 95% CI: 1.019–2.118, p = 0.040) were independently associated with CLNM; and multifocality (OR: 2.373, 95% CI: 1.389–4.052, p = 0.002), tumor size > 1 cm (OR: 5.344, 95% CI: 3.037–9.402, p < 0.001), and invaded capsule (OR: 2.591, 95% CI: 1.436–4.674, p = 0.002) were independently associated with LLNM.

Conclusions

Preoperative CTCs positive was associated with CLNM in PTC patients with ≤ 55 years old, but not LLNM.

Introduction

Thyroid cancer is a common malignant tumor of the head and neck, as well as one of the most common endocrine malignancies [1]. Due to the wide application and sensitivity of thyroid disease diagnosis technology, the detection rate of thyroid cancer is getting higher and higher, and the incidence of thyroid cancer is increasing [2, 3]. Differentiated thyroid carcinoma (DTC) accounts for the vast majority of thyroid malignancies, mainly including papillary thyroid carcinoma (PTC) and follicular thyroid carcinoma (FTC) [4, 5], of which PTC is the most common subtype [6]. Thyroid surgery is the most important treatment method for PTC. The main purpose of thyroid surgery is to resect thyroid cancer lesions, adjacent affected tissues, organs, and metastatic lymph nodes to prepare for postoperative radioactive iodine (RAI) treatment [7]. PTC is an inert cancer, and although the prognosis is good, about 10–30% of patients will have tumor recurrence and progression after initial treatment [8]. Cervical lymph node metastases (LNM), such as central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM), have been shown to be the factors for poor prognosis of PTC, and patients with LNM have an increased risk of recurrence and decreased survival [9].

The biological behavior and clinical features of malignancies vary across ages, not only in the general spectrum of cancers, but also in individual cancer types and individual patients [10, 11]. Unlike most cancer stages, thyroid cancer is a tumor with age as the main stratifying factor, and age is independent from other factors [12]. Compared with older PTC patients, younger PTC patients have a higher incidence of larger tumor size, multifocality, LNM, and distant metastasis, and a higher recurrence rate of cervical lymph nodes [13,14,15]. In PTC patients younger than 55 years of age, LNM significantly affected disease-free survival (DFS) [16]. Wang et al. found that LLNM was a predictor of recurrence in PTC patients < 45 years of age [17]. Although various studies on age as a prognostic factor for PTC have used different age cut-off values, most studies have shown that the effect of LNM on prognosis in young patients is different with older patients. However, what are the risk factors for LNM in young PTC patients? It is a clinical problem worth studying.

The eighth edition of the American Joint Committee on Cancer/Union for International Cancer Control tumor-node-metastasis (AJCC/UICC TNM) staging system uniformly sets the cut-off age for DTC at 55 years [18, 19]. Tumor cells that survive in circulation after breaking through the blood vessel barrier are called circulating tumor cells (CTCs). CTCs are tumor biomarkers that are released into peripheral blood circulation from primary or metastatic sites spontaneously or due to clinical procedures [20]. At present, CTC has been widely used for early screening, disease monitoring, and prognosis assessment of solid tumors, especially breast cancer, lung cancer and colorectal cancer [20,21,22]. There was a correlation between the level of CTCs and the stage of thyroid cancer [23]. Yu et al. found that high level of CTCs was associated with CLNM in PTC [24]. It is understood that the relationship between CTCs and LNM in young PTC patients is still unclear. Therefore, this study retrospectively analyzed the relationship between cervical LNM and clinicopathological features in PTC patients with ≤ 55 years old, especially the level of CTCs before treatment. The aim of this study was to identify risk factors for cervical LNM in young patients with PTC.

Materials and methods

Subjects

The clinical records of 588 PTC patients with ≤ 55 years old who were hospitalized in Meizhou People’s Hospital, from June 2022 to April 2023 were retrospectively analyzed. Inclusion criteria were as follows: (1) ≤ 55 years old; (2) the diagnosis of PTC was confirmed by histopathological examination; (3) patients without other tumors; and (4) there were complete medical records. Exclusion criteria were as follows: (1) patients with other malignant tumor diseases; (2) cases with other pathological types of thyroid cancer; and (3) cases with dysfunction of important organs. This study was supported by the Ethics Committee of the Meizhou People’s Hospital.

Data collection

Clinical medical records of the PTC patients with ≤ 55 years old were collected, such as age, gender, preoperative circulating tumor cells (CTCs), Hashimoto’s thyroiditis, thyroid function, multifocality, tumor size, invaded capsule, clinical stage, and LNM. The tumor size group was divided into two groups: PTC with tumor size ≤ 1 cm and tumor size > 1 cm [25, 26]. Peripheral blood CTCs were detected by reverse transcription-polymerase chain reaction (RT-PCR) technique using the CytoploRare Kit (Genosaber Biotech, Shanghai, China). The red blood cells and the vast majority of white blood cells were depleted using the negative enrichment method to obtain folate receptor-positive cells. The folate receptor-positive cells were then labeled with specific small molecule probes. Finally, the oligonucleotides in folic acid receptor binding small molecule probes were quantitatively detected by polymerase chain reaction (PCR) using a specific primer designed for small molecule probes and Taqman fluorescent probes. Folate receptor Unit (FU) per 3mL (FU/3mL) as defined in the manufacturer’s manual, was used to represent the level of FR + CTC in 3 mL of peripheral blood. According to the threshold set in the CTC test kit instructions, CTC ≥ 8.7 FU/3mL (folate receptor-positive CTCs unit in 3mL blood) is considered to be positive for CTC levels, and CTC < 8.7 FU/3mL is negative.

Statistical analysis

The relationship of CLNM, LLNM and the clinicopathological features of PTC patients was evaluated by χ2 test or Fisher’s exact test. Univariate analysis and multivariate logistic regression analysis were used to evaluate the relationship between the clinicopathological features and LNM in PTC patients, based on estimating the odds ratios (OR) and their 95% confidence intervals (CIs). And gender, Hashimoto’s thyroiditis, thyroid function, multifocality, lesion diameter, invaded capsule, and clinical stage were selected as covariates in the multivariate logistic regression analysis for the association between CTCs and LNM. The goodness of fit of the model was examined. SPSS statistical software version 26.0 (IBM Inc., USA) was used for data analysis. p < 0.05 as statistically significant.

Results

Clinicopathological features of PTC patients

In the study, there were 110 (18.7%) male patients and 478 (81.3%) were female patients. There were 157 (26.7%) PTC patients had Hashimoto’s thyroiditis, and 62 (10.5%) had abnormal thyroid function. There were 180 (30.6%), 189 (31.8%), and 255 (43.4%) patients with multifocality, tumor size > 1 cm, and invaded capsule, respectively. And 273 (46.4%), and 89 (15.1%) PTC patients had CLNM and LLNM, respectively. There were 238 (40.5%) patients with preoperative CTCs < 8.7 FU/3mL, and 350 (59.5%) patients had preoperative CTCs ≥ 8.7 FU/3mL (Table 1).

Table 1 The clinicopathological features of PTC patients

Comparison of clinical features among PTC patients with or without CLNM

There were 273 (273/588, 46.4%) PTC patients with CLNM, and 315 (315/588, 53.6%) without. PTC patients with CLNM had a lower proportion of abnormal thyroid function (7.7% vs. 13.0%) (p = 0.043), and had higher proportions of multifocality (40.7% vs. 21.9%) (p < 0.001), tumor size > 1 cm (48.7% vs. 17.1%) (p < 0.001), invaded capsule (55.7% vs. 32.7%) (p < 0.001), T3-T4 stage (13.2% vs. 3.2%) (p < 0.001), and positive CTCs level (≥ 8.7 FU/3mL) (65.2% vs. 54.6%) (p = 0.011) than those in PTC patients without CLNM. There were no statistically significant differences in distribution of gender, and proportion of Hashimoto’s thyroiditis between PTC patients with and without CLNM (Table 2).

Table 2 Comparison of clinicopathological features among PTC patients with and without CLNM

Comparison of clinical features among PTC patients with or without LLNM

There were 89 (89/588, 15.1%) PTC patients with LLNM, and 499 (499/588, 84.9%) without. PTC patients with LLNM had a lower proportion of female (69.7% vs. 83.4%) (p = 0.003), and had higher proportions of multifocality (55.1% vs. 26.3%) (p < 0.001), tumor size > 1 cm (74.2% vs. 24.2%) (p < 0.001), invaded capsule (76.4% vs. 37.5%) (p < 0.001), and T3-T4 stage (29.2% vs. 4.0%) (p < 0.001) than those in PTC patients without LLNM. There were no statistically significant differences in proportions of Hashimoto’s thyroiditis, abnormal thyroid function, and positive CTCs level between PTC patients with and without LLNM (Table 3).

Table 3 Comparison of clinicopathological features among PTC patients with and without LLNM

Logistic regression analysis of risk factors of CLNM and LLNM

The results of univariate analysis showed that multifocality (odds ratio (OR): 2.443, 95% confidence interval (CI): 1.704–3.501, p < 0.001), tumor size > 1 cm (OR: 4.592, 95% CI: 3.149–6.695, p < 0.001), invaded capsule (OR: 2.586, 95% CI: 1.849–3.616, p < 0.001), T3-T4 stage (OR: 4.633, 95% CI: 2.253–9.526, p < 0.001), and positive CTCs level (OR: 1.558, 95% CI: 1.116–2.174, p = 0.009) were associated with CLNM. And multifocality (OR: 1.821, 95% CI: 1.230–2.698, p = 0.003), tumor size > 1 cm (OR: 3.444, 95% CI: 2.296–5.167, p < 0.001), invaded capsule (OR: 1.699, 95% CI: 1.167–2.473, p = 0.006), and positive CTCs level (OR: 1.469, 95% CI: 1.019–2.118, p = 0.040) were independently associated with CLNM in multivariate regression logistic analysis (Table 4).

Table 4 Logistic regression analysis of risk factors of CLNM and LLNM

The results of univariate analysis showed that male (OR: 2.183, 95% CI: 1.311–3.634, p = 0.003), multifocality (OR: 3.441, 95% CI: 2.166–5.467, p < 0.001), tumor size > 1 cm (OR: 8.964, 95% CI: 5.346–15.031, p < 0.001), invaded capsule (OR: 5.403, 95% CI: 3.206–9.104, p < 0.001), and T3-T4 stage (OR: 9.884, 95% CI: 5.215–18.734, p < 0.001) were associated with LLNM. Multivariate regression logistic analysis showed that male (OR: 2.087, 95% CI: 1.125–3.869, p = 0.020), multifocality (OR: 2.373, 95% CI: 1.389–4.052, p = 0.002), tumor size > 1 cm (OR: 5.344, 95% CI: 3.037–9.402, p < 0.001), invaded capsule (OR: 2.591, 95% CI: 1.436–4.674, p = 0.002), and T3-T4 stage (OR: 3.027, 95% CI: 1.430–6.405, p = 0.004) were independently associated with LLNM (Table 4).

Discussion

Thyroid cancer is more likely to occur in patients with thyroid nodules ≤ 55 years of age [27, 28]. Thyroid nodules in younger patients have a higher risk of developing into malignant nodules than older patients, but thyroid cancer in younger patients is well differentiated and the prognosis is significantly better than older patients [29]. Young patients are not sensitive to chemotherapy and radiotherapy, and surgery is the main treatment method [30, 31]. Radical cervical lymph node dissection in young patients with thyroid cancer may increase complications and affect patients’ quality of life [32, 33]. The selection of surgical scope for young thyroid cancer patients should be individualized according to LNM, so as to avoid postoperative complications affecting the quality of life [34, 35].

The total CTCs in thyroid cancer patients is a biomarker to predict the prognosis of patients [36]. Some studies suggest that the mesenchymal transformation of thyroid carcinoma epithelial cells promotes the metastasis and invasion of thyroid cancer [37,38,39]. And the CTCs detected in PTC patients are predominantly mesenchymal or epithelial-mesenchymal phenotypes [40, 41]. Therefore, CTCs have the potential to reflect the level of metastasis and invasion of thyroid cancer. Han et al.. have used molecular beacon probes to target epithelial-mesenchymal CTCs and detect corresponding cell markers to predict the location of distant metastases of tumor cells [42]. Xu et al. showed that CTC was a good diagnostic marker for thyroid nodules [43]. Wang et al. found that patients with high CTCs level had poor progression-free survival (PFS) [36]. At present, the relationship of CTCs and LNM in PTC remains unclear. In terms of CTCs level and tumor metastasis in PTC patients, Li et al. found that the early recurrence and metastasis rate of PTC patients with high CTCs level was significantly higher than that of patients with low CTCs level [41]. Qiu et al. revealed that high CTCs level correlate with distant metastases [44]. High CTCs level was associated with CLNM in papillary thyroid microcarcinoma (PTMC) [24]. In this study, preoperative CTCs ≥ 8.7 FU/3mL was a risk factor for CLNM in PTC patients with ≤ 55 years old, but not LLNM. In terms of mechanism, CTCs may be to invade the lymphatic and circulatory system in the presence of hypoxia and starvation [45], and through interactions with blood cells and immune cells [46, 47]. The presence of high CTC levels means that more CTC is likely to invade the lymphatic system. Present study enriches the data on the evaluation value of CTCs in the progression of thyroid cancer. The National Comprehensive Cancer Network (NCCN) 2022 Clinical Practice Guidelines for thyroid Cancer state that central lymph node dissection is not recommended for patients with clinically negative lymph nodes [48]. For clinical node-negative patients without high risk factors, individual management is feasible. The results of this study suggest that CTC may be one of the potential indicators for predicting CLNM risk in PTC patients with ≤ 55 years old.

In this study, multifocality, tumor size > 1 cm, and invaded capsule were associated with CLNM in PTC patients with ≤ 55 years old. Multifocality is a common phenomenon in PTC and is an independent risk factor for CLNM, which is consistent with most previous research reports [49,50,51,52]. Multifocal PTC is formed by the spread of tumor cells in the main nodules in the glands, and it is more invasive and has an increased risk of LNM [53]. Jiang et al. found that the tumor invasiveness of multifocal PTC with a diameter > 1 cm was significantly higher than that of PTC with a diameter < 1 cm [54]. However, the relationship between multifocality and CLNM in young PTC patients has been less studied. This study provides the corresponding evidence for it. Larger tumor size is thought to be associated with CLNM [55,56,57,58]. This study is consistent with previous findings. In terms of capsular invasion, it is also considered by some studies to be a risk factor for CLNM [59,60,61]. It can be seen that these risk factors for CLNM in PTC also apply to young PTC patients.

Moreover, male, multifocality, tumor size > 1 cm, invaded capsule, and T3-T4 stage were associated with LLNM in PTC patients with ≤ 55 years old in this study. Some studies suggest that the incidence of LNM in male PTC patients is significantly higher than that in female patients [62, 63]. Feng et al. found that male was a risk factor for LLNM in PTMC patients [64]. Therefore, more attention should be paid to the risk of LLNM in male PTC patients and the selection of the scope of dissection during surgery, although the sample size of male patients included in this study was not large. In terms of multifocality, it is considered to be a risk factor for LLNM [65, 66]. Some studies have shown that larger tumor size is related to LLNM [67, 68]. Tumor size is generally positively correlated with the risk of LLNM, and the rate of metastasis increases with the increase of maximum tumor diameter [62]. Some studies have suggested that the maximum tumor diameter > 1.0 cm is a risk factor for LLNM [69,70,71]. Wu et al. suggested that the cutoff value of the maximum tumor diameter should be > 0.7 cm [66]. Kim et al. reported that PTC > 2–3 cm was an independent risk factor for LLNM [72]. In addition, capsular invasion is an independent risk factor for LLNM [65, 73, 74]. Yan et al. suggested that patients with extra-thyroid aggression were more likely to develop LLNM [75]. Moreover, T stage is associated with LLNM [65]. It follows that these risk factors for LLNM in PTC patients are the same in young PTC patients.

This study provides one piece of evidence that high preoperative CTCs level was a risk factor for CLNM in PTC patients with ≤ 55 years old. Some of the risk factors (multifocality, tumor size > 1 cm, and invaded capsule) for LNM in PTC patients also apply to younger PTC patients, and the risk factors for CLNM and LLNM differ. Therefore, attention should be paid to the risk of CLNM and LLNM in young PTC patients and the selection of the scope of lymph node dissection during surgery. However, this study has some limitations: (1) it is a single-center retrospective study and the sample size is small, and a large central cohort study is needed to verify the conclusions obtained; (2) this study is a retrospective study, due to the limitation of clinical data, the indicators collected in this study are not very comprehensive, so more clinical indicators need to be included to optimize the construction of clinical prediction model for LNM in PTC patients with ≤ 55 years old; (3) due to the small tumor load and inert biological behavior of most thyroid cancers, the sensitivity and specificity of CTCs detection methods are limited [21, 76], and the relationship between CTCs level and LNM may be biased. In addition, there is a possibility that ctc levels in PTC patients in remission will continue to increase [23]; (4)at present, there is a lack of recognized high sensitivity and specificity detection methods. There are many CTCs detection techniques, and different CTCs sorting, enrichment and analysis methods will produce different results, so there is a possibility that different detection techniques may cause differences in research results. Therefore, the LNM risk prediction model based on CTC level, including more indicators and large samples will be more clinically significant.

Conclusions

In summary, preoperative CTCs positive (≥ 8.7 FU/3mL) may be a risk factor for CLNM in PTC patients with ≤ 55 years old, but not LLNM. Multifocality, tumor size > 1 cm, and invaded capsule may be associated with both CLNM and LLNM in PTC patients with ≤ 55 years old. It provides valuable reference data for the risk assessment of CLNM and LLNM in PTC patients with ≤ 55 years old. Of course, it still needs to be confirmed by more in-depth researches.

Data availability

No datasets were generated or analysed during the current study.

References

  1. Dias Lopes NM, Mendonça Lens HH, Armani A, Marinello PC, Cecchini AL. Thyroid cancer and thyroid autoimmune disease: a review of molecular aspects and clinical outcomes. Pathol Res Pract. 2020;216:153098.

    Article  CAS  PubMed  Google Scholar 

  2. Miranda-Filho A, Lortet-Tieulent J, Bray F, Cao B, Franceschi S, Vaccarella S, Dal Maso L. Thyroid cancer incidence trends by histology in 25 countries: a population-based study. Lancet Diabetes Endocrinol. 2021;9:225–34.

    Article  PubMed  Google Scholar 

  3. Deng Y, Li H, Wang M, Li N, Tian T, Wu Y, Xu P, Yang S, Zhai Z, Zhou L, et al. Global burden of thyroid Cancer from 1990 to 2017. JAMA Netw Open. 2020;3:e208759.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Khatami F, Tavangar SM. Liquid biopsy in thyroid Cancer: New Insight. Int J Hematol Oncol Stem Cell Res. 2018;12:235–48.

    PubMed  PubMed Central  Google Scholar 

  5. Romei C, Elisei R. A narrative review of genetic alterations in primary thyroid epithelial Cancer. Int J Mol Sci. 2021;22:1726.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kurczyk A, Gawin M. Classification of thyroid tumors based on Mass Spectrometry Imaging of Tissue Microarrays; a single-Pixel Approach. Int J Mol Sci. 2020;21:6289.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Wang TS, Sosa JA. Thyroid surgery for differentiated thyroid cancer - recent advances and future directions. Nat Rev Endocrinol. 2018;14:670–83.

    Article  CAS  PubMed  Google Scholar 

  8. Xu S, Huang H, Qian J, Liu Y, Huang Y, Wang X, Liu S, Xu Z, Liu J. Prevalence of Hashimoto Thyroiditis in adults with papillary thyroid Cancer and its Association with Cancer recurrence and outcomes. JAMA Netw Open. 2021;4:e2118526.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Hu D, Zhou J, He W, Peng J, Cao Y, Ren H, Mao Y, Dou Y, Xiong W, Xiao Q, Su X. Risk factors of lateral lymph node metastasis in cN0 papillary thyroid carcinoma. World J Surg Oncol. 2018;16:30.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Tricoli JV, Bleyer A. Adolescent and young Adult Cancer Biology. Cancer J. 2018;24:267–74.

    Article  PubMed  Google Scholar 

  11. White MC, Holman DM, Boehm JE, Peipins LA, Grossman M, Henley SJ. Age and cancer risk: a potentially modifiable relationship. Am J Prev Med. 2014;46:S7–15.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ito Y, Miyauchi A, Fujishima M, Masuoka H, Higashiyama T, Kihara M, Onoda N, Miya A. Prognostic significance of patient age in papillary thyroid carcinoma with no high-risk features. Endocr J. 2022;69:1131–6.

    Article  PubMed  Google Scholar 

  13. Miccoli P, Minuto MN, Ugolini C, Panicucci E, Massi M, Berti P, Basolo F. Papillary thyroid cancer: pathological parameters as prognostic factors in different classes of age. Otolaryngol Head Neck Surg. 2008;138:200–3.

    Article  PubMed  Google Scholar 

  14. Hay ID, Johnson TR, Kaggal S, Reinalda MS, Iniguez-Ariza NM, Grant CS, Pittock ST, Thompson GB. Papillary thyroid carcinoma (PTC) in children and adults: comparison of initial presentation and long-term postoperative outcome in 4432 patients consecutively treated at the Mayo Clinic during eight decades (1936–2015). World J Surg. 2018;42:329–42.

    Article  PubMed  Google Scholar 

  15. Zheng W, Wang X, Rui Z, Wang Y, Meng Z, Wang R. Clinical features and therapeutic outcomes of patients with papillary thyroid microcarcinomas and larger tumors. Nucl Med Commun. 2019;40:477–83.

    Article  PubMed  Google Scholar 

  16. Ito Y, Fukushima M, Tomoda C, Inoue H, Kihara M, Higashiyama T, Uruno T, Takamura Y, Miya A, Kobayashi K, et al. Prognosis of patients with papillary thyroid carcinoma having clinically apparent metastasis to the lateral compartment. Endocr J. 2009;56:759–66.

    Article  PubMed  Google Scholar 

  17. Wang LY, Palmer FL, Nixon IJ, Tuttle RM, Shah JP, Patel SG, Shaha AR, Ganly I. Lateral Neck Lymph node characteristics Prognostic of Outcome in patients with clinically evident N1b papillary thyroid Cancer. Ann Surg Oncol. 2015;22:3530–6.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kim K, Kim JK, Lee CR, Kang SW, Lee J, Jeong JJ, Nam KH, Chung WY. Comparison of long-term prognosis for differentiated thyroid cancer according to the 7th and 8th editions of the AJCC/UICC TNM staging system. Ther Adv Endocrinol Metab. 2020;11:2042018820921019.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Liu Z, Chen S, Huang Y, Hu D, Wang M, Wei W, Zhang C, Zeng W, Guo L. Patients aged ≥ 55 years with Stage T1-2N1M1 differentiated thyroid Cancer should be Downstaged in the Eighth Edition AJCC/TNM Cancer Staging System. Front Oncol. 2019;9:1093.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Lin D, Shen L, Luo M, Zhang K, Li J, Yang Q, Zhu F, Zhou D, Zheng S, Chen Y, Zhou J. Circulating tumor cells: biology and clinical significance. Signal Transduct Target Ther. 2021;6:404.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Deng Z, Wu S, Wang Y, Shi D. Circulating tumor cell isolation for cancer diagnosis and prognosis. EBioMedicine. 2022;83:104237.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Pereira-Veiga T, Schneegans S, Pantel K, Wikman H. Circulating tumor cell-blood cell crosstalk: Biology and clinical relevance. Cell Rep. 2022;40:111298.

    Article  CAS  PubMed  Google Scholar 

  23. Ehlers M, Allelein S, Schwarz F, Hautzel H, Kuebart A, Schmidt M, Haase M, Dringenberg T, Schott M. Increased numbers of circulating Tumor cells in thyroid Cancer patients. Horm Metab Res. 2018;50:602–8.

    Article  CAS  PubMed  Google Scholar 

  24. Yu M, Deng J, Gu Y, Lai Y. Preoperative High Level of Circulating Tumor Cells is an independent risk factor for Central Lymph Node Metastasis in Papillary thyroid carcinoma with Maximum Lesion Diameter ≤ 1.0 cm. Int J Gen Med. 2024;17:4907–16.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Didehban S, Abdollahi A, Meysamie A. Evaluation of etiology, clinical manifestations, diagnosis, Follow-up, histopathology and prognosis factors in papillary thyroid microcarcinoma: a systematic review and Meta-analysis. Iran J Pathol. 2023;18:380–91.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ma T, Semsarian CR, Barratt A, Parker L, Kumarasinghe MP, Bell KJL, Nickel B. Rethinking low-risk papillary thyroid cancers < 1 cm (Papillary Microcarcinomas): an evidence review for recalibrating diagnostic thresholds and/or alternative labels. Thyroid. 2021;31:1626–38.

    Article  PubMed  Google Scholar 

  27. Azizi G, Malchoff CD. Autoimmune thyroid disease: a risk factor for thyroid cancer. Endocr Pract. 2011;17:201–9.

    Article  PubMed  Google Scholar 

  28. Du J, Li W, Zhao X, Shen C, Zhang X. Establishment of a predictive nomogram for differentiated thyroid cancer: an inpatient-based retrospective study. Endokrynol Pol. 2023; 74.

  29. Kakudo K, Liu Z, Bai Y, Li Y, Kitayama N, Satoh S, Nakashima M, Jung CK. How to identify indolent thyroid tumors unlikely to recur and cause cancer death immediately after surgery-risk stratification of papillary thyroid carcinoma in young patients. Endocr J. 2021;68:871–80.

    Article  CAS  PubMed  Google Scholar 

  30. Durante C, Hegedüs L. 2023 European thyroid Association Clinical Practice guidelines for thyroid nodule management. Eur Thyroid J. 2023;12:e230067.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Filetti S, Durante C, Hartl D, Leboulleux S, Locati LD, Newbold K, Papotti MG, Berruti A. Thyroid cancer: ESMO Clinical Practice guidelines for diagnosis, treatment and follow-up†. Ann Oncol. 2019;30:1856–83.

    Article  CAS  PubMed  Google Scholar 

  32. Tian H, Pan J, Chen L, Wu Y. A narrative review of current therapies in unilateral recurrent laryngeal nerve injury caused by thyroid surgery. Gland Surg. 2022;11:270–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Papadopoulou E, Sapalidis K. The role of primary repair of the recurrent laryngeal nerve during Thyroid/Parathyroid surgery in vocal Outcomes-A systematic review. J Clin Med. 2023;12:1212.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Huang J, Li Z, Zhong Q, Fang J, Chen X, Zhang Y, Huang Z. Developing and validating a multivariable machine learning model for the preoperative prediction of lateral lymph node metastasis of papillary thyroid cancer. Gland Surg. 2023;12:101–9.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Peng L, Zheng X, Xue Y, Huang C, Su X, Yu S. Central lymph nodes in frozen sections can effectively guide extended lymph node resection for papillary thyroid carcinoma. Ann Med. 2023;55:2286337.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Weng X, YangYang, Cai Y. Clinical Significance of Circulating Tumor Cells (CTCs) and Survivin on Predicting Prognosis in Thyroid Cancer Patients. Dis Markers. 2022; 2022:5188006.

  37. Wang XJ, Zheng HT, Xu J, Guo YW, Zheng GB, Ma C, Hao SL, Liu XC, Chen HJ, Wei SJ, Wu GC. LINC00106 prevents against metastasis of thyroid cancer by inhibiting epithelial-mesenchymal transition. Eur Rev Med Pharmacol Sci. 2020;24:10015–21.

    PubMed  Google Scholar 

  38. Ye D, Jiang Y, Sun Y, Li Y, Cai Y, Wang Q, Wang O, Chen E, Zhang X. METTL7B promotes migration and invasion in thyroid cancer through epithelial-mesenchymal transition. J Mol Endocrinol. 2019;63:51–61.

    Article  CAS  PubMed  Google Scholar 

  39. Xu S, Mo C, Lin J, Yan Y, Liu X, Wu K, Zhang H, Zhu Y, Chen L. Loss of ID3 drives papillary thyroid cancer metastasis by targeting E47-mediated epithelial to mesenchymal transition. Cell Death Discov. 2021;7:226.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Yu HW, Park E, Lee JK, Kim W, Kong JH, Sunoo J, Hong SC, Choi JY. Analyzing circulating tumor cells and epithelial-mesenchymal transition status of papillary thyroid carcinoma patients following thyroidectomy: a prospective cohort study. Int J Surg. 2024;110:3357–64.

    PubMed  PubMed Central  Google Scholar 

  41. Li D, Li N, Ding Y. Epithelial-to-mesenchymal transition of circulating tumor cells and CD133 expression on predicting prognosis of thyroid cancer patients. Mol Clin Oncol. 2022;17:141.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Han D, Ren XH, Liao XR, He XY. A multiple targeting nanoprobe for identifying Cancer Metastatic sites based on detection of various mRNAs in circulating Tumor cells. Nano Lett. 2023;23:3678–86.

    Article  CAS  PubMed  Google Scholar 

  43. Xu S, Cheng J, Wei B, Zhang Y, Li Y, Zhang Z, Liu Y, Zhang Y, Zhang R, Wang K, et al. Development and validation of circulating tumor cells signatures for papillary thyroid cancer diagnosis: a prospective, blinded, multicenter study. Clin Transl Med. 2020;10:e142.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Qiu ZL, Wei WJ, Sun ZK, Shen CT, Song HJ, Zhang XY, Zhang GQ, Chen XY, Luo QY. Circulating Tumor cells correlate with clinicopathological features and outcomes in differentiated thyroid Cancer. Cell Physiol Biochem. 2018;48:718–30.

    Article  CAS  PubMed  Google Scholar 

  45. Tinganelli W, Durante M. Tumor Hypoxia and circulating Tumor cells. Int J Mol Sci. 2020;21:9592.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Gautam D, Clarke EM, Roweth HG, Smith MR, Battinelli EM. Platelets and circulating (tumor) cells: partners in promoting metastatic cancer. Curr Opin Hematol. 2025;32:52–60.

    CAS  PubMed  Google Scholar 

  47. Matanes E, Gotlieb WH. Pathophysiological and anatomical basis of lymphatic transit of cancer cells and role of the lymphatic system: a review of published literature. Chin Clin Oncol. 2021;10:14.

    Article  PubMed  Google Scholar 

  48. Haddad RI, Bischoff L, Ball D, Bernet V, Blomain E, Busaidy NL, Campbell M, Dickson P, Duh QY, Ehya H, et al. Thyroid carcinoma, Version 2.2022, NCCN Clinical Practice guidelines in Oncology. J Natl Compr Canc Netw. 2022;20:925–51.

    Article  CAS  PubMed  Google Scholar 

  49. Li T, Li H, Xue J, Miao J, Kang C. Shear wave elastography combined with gray-scale ultrasound for predicting central lymph node metastasis of papillary thyroid carcinoma. Surg Oncol. 2021;36:1–6.

    Article  PubMed  Google Scholar 

  50. Ye F, Gong Y, Tang K, Xu Y, Zhang R, Chen S, Li X, Zhang Q, Liao L, Zuo Z, Niu C. Contrast-enhanced ultrasound characteristics of preoperative central cervical lymph node metastasis in papillary thyroid carcinoma. Front Endocrinol (Lausanne). 2022;13:941905.

    Article  PubMed  Google Scholar 

  51. Guang Y, He W, Zhang W, Zhang H, Zhang Y, Wan F. Clinical study of Ultrasonographic Risk Factors for Central Lymph Node Metastasis of Papillary thyroid carcinoma. Front Endocrinol (Lausanne). 2021;12:791970.

    Article  PubMed  Google Scholar 

  52. Wang D, Zhu J, Deng C, Yang Z, Hu D, Shu X, Yu P, Su X. Preoperative and pathological predictive factors of central lymph node metastasis in papillary thyroid microcarcinoma. Auris Nasus Larynx. 2022;49:690–6.

    Article  PubMed  Google Scholar 

  53. Sun W, Hu Q, Liu Z, Zhang Q, Wang J. Analysis of the clonal origin and differences in the biological behavior of multifocal papillary thyroid carcinoma. Oncol Lett. 2024;28:544.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Jiang KC, Lin B, Zhang Y, Zhao LQ, Luo DC. Total tumor diameter is a better indicator of multifocal papillary thyroid microcarcinoma: a propensity score matching analysis. Front Endocrinol (Lausanne). 2022;13:974755.

    Article  PubMed  Google Scholar 

  55. Pang J, Yang M, Li J, Zhong X, Shen X, Chen T, Qian L. Interpretable machine learning model based on the systemic inflammation response index and ultrasound features can predict central lymph node metastasis in cN0T1-T2 papillary thyroid carcinoma. Gland Surg. 2023;12:1485–99.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Zhang Z, Zhang X, Yin Y, Zhao S, Wang K, Shang M, Chen B, Wu X, Integrating. BRAF(V600E) mutation, ultrasonic and clinicopathologic characteristics for predicting the risk of cervical central lymph node metastasis in papillary thyroid carcinoma. BMC Cancer. 2022;22:461.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Heo DB, Won HR, Tae K, Kang YE, Jeon E, Ji YB, Chang JW, Choi JY, Yu HW, Ku EJ, et al. Clinical impact of coexistent chronic lymphocytic thyroiditis on central lymph node metastasis in low- to intermediate-risk papillary thyroid carcinoma: the MASTER study. Surgery. 2024;175:1049–54.

    Article  PubMed  Google Scholar 

  58. Wang Z, Chang Q, Zhang H, Du G, Li S, Liu Y, Sun H, Yin D. A clinical predictive model of Central Lymph Node Metastases in Papillary thyroid carcinoma. Front Endocrinol (Lausanne). 2022;13:856278.

    Article  PubMed  Google Scholar 

  59. Yang Z, Heng Y, Lin J, Lu C, Yu D, Tao L, Cai W. Nomogram for Predicting Central Lymph Node Metastasis in Papillary thyroid Cancer: a retrospective cohort study of two clinical centers. Cancer Res Treat. 2020;52:1010–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Hafez LG, Elkomos BE. The risk of central nodal metastasis based on prognostic factors of the differentiated thyroid carcinoma: a systematic review and meta-analysis study. Eur Arch Otorhinolaryngol. 2023;280:2675–86.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Zhang Q, Wang Z, Meng X, Duh QY, Chen G. Predictors for central lymph node metastases in CN0 papillary thyroid microcarcinoma (mPTC): a retrospective analysis of 1304 cases. Asian J Surg. 2019;42:571–6.

    Article  PubMed  Google Scholar 

  62. Mao J, Zhang Q, Zhang H, Zheng K, Wang R, Wang G. Risk factors for Lymph Node Metastasis in Papillary thyroid carcinoma: a systematic review and Meta-analysis. Front Endocrinol (Lausanne). 2020;11:265.

    Article  PubMed  Google Scholar 

  63. Sapuppo G, Palermo F, Russo M, Tavarelli M, Masucci R, Squatrito S, Vigneri R, Pellegriti G. Latero-cervical lymph node metastases (N1b) represent an additional risk factor for papillary thyroid cancer outcome. J Endocrinol Invest. 2017;40:1355–63.

    Article  CAS  PubMed  Google Scholar 

  64. Feng JW, Ye J, Hong LZ, Hu J, Wang F, Liu SY, Jiang Y, Qu Z. Nomograms for the prediction of lateral lymph node metastasis in papillary thyroid carcinoma: stratification by size. Front Oncol. 2022;12:944414.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Zhong H, Zeng Q, Long X, Lai Y, Chen J, Wang Y. Risk factors analysis of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a retrospective study of 830 patients. World J Surg Oncol. 2024;22:162.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Wu X, Li B, Zheng C, He X. Predicting factors of lateral neck lymph node metastases in patients with papillary thyroid microcarcinoma. Med (Baltim). 2019;98:e16386.

    Article  Google Scholar 

  67. Ni Y, Wang T, Wang X, Tian Y, Wei W, Liu Q. Clinical features of multifocal papillary thyroid carcinoma and risk factors of cervical metastatic lymph nodes. J Zhejiang Univ. 2022;51:225–32.

    Article  Google Scholar 

  68. Verma H, Shah N, Jain P, Manikantan K, Sharan R, Arun P. Factors predicting contralateral nodal spread in papillary carcinoma of thyroid. Indian J Cancer. 2022;59:212–7.

    Article  PubMed  Google Scholar 

  69. Feng JW, Wu WX, Qi GF, Hong LZ, Hu J, Liu SY, Jiang Y. Nomograms based on sonographic and clinicopathological characteristics to predict lateral lymph node metastasis in classic papillary thyroid carcinoma. J Endocrinol Invest. 2022;45:2043–57.

    Article  PubMed  Google Scholar 

  70. Zhuo X, Yu J, Chen Z, Lin Z, Huang X, Chen Q, Zhu H, Wan Y. Dynamic Nomogram for Predicting lateral cervical lymph node metastasis in papillary thyroid carcinoma. Otolaryngol Head Neck Surg. 2022;166:444–53.

    Article  PubMed  Google Scholar 

  71. Feng JW, Yang XH, Wu BQ, Sun DL, Jiang Y. Predictive factors for central lymph node and lateral cervical lymph node metastases in papillary thyroid carcinoma. Clin Transl Oncol. 2019;21:1482–91.

    Article  PubMed  Google Scholar 

  72. Kim SK, Park I, Woo JW, Lee JH, Choe JH, Kim JH, Kim JS. Predictive factors for Lymph Node Metastasis in Papillary thyroid Microcarcinoma. Ann Surg Oncol. 2016;23:2866–73.

    Article  PubMed  Google Scholar 

  73. Liu Q, Pang WT, Dong YB, Wang ZX, Yu MH, Huang XF, Liu LF. Analysis of risk factors for lateral lymph node metastasis in papillary thyroid carcinoma: a retrospective cohort study. World J Otorhinolaryngol Head Neck Surg. 2022;8:274–8.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Issa K, Stevens MN, Sun Y, Thomas S, Collins A, Cohen J, Esclamado RM, Rocke DJ. A retrospective study of Lymph Node yield in lateral Neck dissection for papillary thyroid carcinoma. Ear Nose Throat J. 2022;101:456–62.

    Article  PubMed  Google Scholar 

  75. Yan XQ, Ma ZS, Zhang ZZ, Xu D, Cai YJ, Wu ZG, Zheng ZQ, Xie BJ, Cao FL. The utility of sentinel lymph node biopsy in the lateral neck in papillary thyroid carcinoma. Front Endocrinol (Lausanne). 2022;13:937870.

    Article  PubMed  Google Scholar 

  76. Zeyghami W, Hansen MU. Liquid biopsies in thyroid cancers: a systematic review and meta-analysis. Endocr Relat Cancer. 2023;30:e230002.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The author would like to thank other colleagues whom were not listed in the authorship of Department of Thyroid Surgery, Meizhou People’s Hospital for their helpful comments on the manuscript.

Funding

This study was supported by the Scientific Research Cultivation Project of Meizhou People’s Hospital (Grant No.: PY-C2022020, and PY-C2023046).

Author information

Authors and Affiliations

Authors

Contributions

Ming Yu, Yeqian Lai, and Yuedong Wang contributed to study concept and design. Ming Yu, Jiaqin Deng, Yihua Gu, Yeqian Lai, and Yuedong Wang collected clinical data. Ming Yu, and Yuedong Wang contributed to analyze the data. Ming Yu contributed to prepare the manuscript. All authors approved the final version to be published.

Corresponding author

Correspondence to Yuedong Wang.

Ethics declarations

Ethics approval and consent to participate

This study was conducted according to the Declaration of Helsinki and approved by the Human Ethics Committees of Meizhou People’s Hospital.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, M., Deng, J., Gu, Y. et al. Pretreatment level of circulating tumor cells is associated with lymph node metastasis in papillary thyroid carcinoma patients with ≤ 55 years old. World J Surg Onc 23, 29 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12957-025-03670-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12957-025-03670-z

Keywords