Article | Open | Published:

Role of ultrasonographic features and quantified BRAFV600E mutation in lymph node metastasis in Chinese patients with papillary thyroid carcinoma


The association between cervical lymph node metastasis (LNM) and ultrasonographic features as well as BRAFV600E mutations in patients with papillary thyroid carcinoma (PTC) remained controversial. This study investigated the association between LNM and ultrasonographic features as well as BRAFV600E mutation in Chinese patients with PTC. A total of 280 patients with PTC in China were included in this study. 108 had cervical lymph node metastasis, while 172 had not. Younger age (<45years) and several ultrasonographic features were significantly associated with cervical LNM (Ps < 0.05). The BRAFV600E mutation was detected in 81.0% of patients with PTC (226/280). The status of BRAFV600E mutation was not associated with cervical LNM. However, Ct values by PCR and intensity of reactions by immunohistochemistry (IHC) for BRAFV600E expression had shown significant difference between group with and without LNM. Furthermore, an increased proportion of LNM was also found with the incremental intensity of IHC for BRAFV600E expression from weak to strong reaction after adjusted potential confounders. Further studies are required to verify this association and explore the intrinsic mechanism.


Papillary thyroid carcinoma (PTC) is the most common thyroid cancer, accounting for 80–90% of all thyroid carcinomas, with an increasing incidence globally1,2. PTC cancer cells metastases primarily via cervical lymph node metastases (LNM). The clinical significance of LNM in PTC remained controversial. Previous studies reported that LNM may influence only recurrence but not survival3. However, recent evidence from a large-scale nested case-control study indicated that LNM and incomplete surgical excision were two primary characteristics associated with higher morbidity4, and the presence of LNM enhanced the rate of distant metastases by 11.2-fold5. Cervical ultrasonography (US) is commonly performed as preoperative imaging to visualize the LNMs lesions. However, factors including lymph nodes size and air or bone shadowing might limit their detection by US, thus influence the preoperative strategy.

BRAF somatic mutations are the commonest genetic alterations in PTC, which may have diagnostic, prognostic, and therapeutic value in the management of PTC. BRAFV600E mutation resulting from the substitution of a valine by a glutamate at reside 600, is associated with adverse prognostic factors, such as extrathyroidal extension, LN metastasis, and poor survival6,7, because this mutation, via activation of MAP kinase pathway, can cause loss of expression of thyroid genes and refractoriness to radioiodine, as well as up-regulation of angiogenic and tumor-promoting molecules8,9. However, the definite prognostic role of the BRAF mutation10,11 was not identified in every studies. A recent large Chinese cohort study revealed that the association of this mutation with extrathyroidal invasion and LNM were not seen in all cities when analyzed city by city12. Hence, in our Chinese population with PTC, the relationship between BRAFV600E mutation and cervical LNM cannot be concluded.

In this study, we aim to identified certain US features of primary tumor which might be able to predict LNM in PTC patients, and evaluate the BRAFV600E mutation from US-FNA in a qualitative manner with immunohistochemical staining and PCR in order to investigate the association between this mutation and cervical LNM in Chinese PTC patients, a population in which the research on the quantification of this mutated allele and its protein expression remains understudied, at the background of the large variation in the prevalence of the BRAFV600E mutations in PTCs among countries.


General characteristics of patients with PTC according to the status of LNM

Among the 280 patients, the mean age ± SD of the patients was 43.78 ± 10.93 years (range, 9–73years) and postoperative pathological results showed that 108 PTCs had cervical LNM, while 172 PTCs had not (Table 1). PTCs with LNM were younger than PTCs without LNM (40.48 ± 11.83 vs. 45.85 ± 9.81, p < 0.001), and there were more male patients suffering from LNM than females (55.4% vs. 33.5%, p = 0.001). In terms of personal habits (smoking and alcohol intake) and ethnicity, there were no significant differences between the two groups (p > 0.05).

Table 1 General characteristics of our PTC patients and BRAFV600E mutation in PTC patients with and without LNM.

The US characteristics and BRAF V600E status with its Ct values

The mean nodule maximum diameter was 1.10 ± 0.68 (range, 0.30–4.5 cm). The mean maximum diameters of PTCs with LNM was larger than those without LNM (1.46 ± 0.85 cm vs. 0.87 ± 0.40 cm, p < 0.001) (Table 2). The area under curve (AUC) to distinguish cervical LNM from none cervical LNM was 0.76 (95%CI: 0.695–0.816)for tumor size with cut-off value of 0.95 cm with an AUC of 0.76 according to the ROC curves (sensitivity, 73.1%; specificity, 69.8%) (Fig. 1). There were significant differences in other sonographic features between PTC patients with and without LNM, including multifocality, shape, margin, heterogeneous echogenicity, calcification, CDFI, US-LNM, distance to capsule and the diffuse disease (Ps < 0.05). However, the status of BRAFV600E showed no significant difference between two groups (p = 0.499).

Table 2 Ultrasonographic characteristics and BRAFV600E status of PTC patients with and without cervical LNM.
Figure 1

Receiver-operating Characteristic (ROC) curve of nodule size for predicting the risk of cervical LNM. Blue line shows an ROC plot for nodule size with an AUC of 0.76 (95% CI: 0.695–0.816).

General information and ultrasonographic indicators of cervical LNM in PTC patients

The multivariate logistic regression revealed significant associations of ages < 45 years (OR = 2.446; 95%CI: 0.880–3.695), multifocality (OR = 2.113; 95%CI: 1.070–4.170:), tumor size (OR = 3.565; 95%CI: 1.784–7.123), CDFI (OR = 3.783; 95%CI: 1.348–10.613) and close to capsule (OR = 4.181; 95%CI: 1.770–9.877) with cervical LNM (Fig. 2) (Table 3). However, BRAFV600E mutation (OR = 1.082; 95%CI: 0.503–2.327) was not significantly associated.

Figure 2

Ultrasonographic images of a PTC patient with (A,B) and without (C,D) cervical lymph node metastasis. (A) A nodule with certain malignant signs, such as hypoechogenicity, irregular shape, ill-defined margin, multiple microcalcification and capsule invasion; (B) CDFI showed rich blood flow in and around the nodule (A). (C) A hypoechoic nodule in the middle of the right thyroid, smaller than that in (A), with regular shape, defined margin, and no signs of capsule invasion; (D) CDFI showed lack of the blood flow signals, compared with that in (B). CDFI: Color Doppler Flow Imaging.

Table 3 Multivariate analysis of the association between clinicopathological characteristics and cervical LNM in 280 PTC patients.

BRAF V600E Ct value with PCR and its expression by IHC staining in BRAF V600E-positive PTC patients with and without cervical LNM

Among the BRAFV600E-positive patients (226/280), the BRAFV600E Ct value was significantly lower in LNM group (p = 0.002) (Fig. 3) (Table 4). Furthermore, the BRAFV600E protein expression by IHC showed that patients with cervical LNM had a higher percentage of the strong reaction than those without LNM (62.4% vs. 35.5%, p < 0.001) (Fig. 4).

Figure 3

Box plot of Ct values in BRAFV600E-positive PTC patients grouped by the status of LNM. There was significant difference of Ct values expressed by median between groups with (Ct value = 19) and without LNM (Ct value = 21).

Table 4 BRAFV600E Ct value by PCR and its expression by IHC staining in BRAFV600E-positive PTC patients with and without cervical LNM.
Figure 4

BRAFV600E IHC staining in BRAFV600E-positive (by PCR) PTC with (A) and without (B) lymph node metastasis. Representative staining of the PTC nodules with BRAFV600E specific antibody (VE1), as shown by the brown staining (magnification, ×200). (A) Strong staining (+++); (B) Weak staining (+). IHC: immunohistochemical.

Multivariate logistic analysis for determining the association of LNM with different level of BRAF V600E expression by Ct value and IHC intensity

Odds ratios for the LNM in non-mutation group (Ct value ≥ 28) and relatively low BRAFV600E expression group (Ct value 22–27) versus high BRAFV600E expression group (Ct value ≤ 19) were 0.86 (p > 0.05) and 0.42 (p = 0.012), respectively; while after fully adjusted by covariates in model 3, no significant association was found (Table 5). However, as far as the level of BRAFV600E expression by IHC intensity was concerned, the odds ratios for weak and moderate reaction group were 0.18 (95%CI: 0.08–0.42) and 0.46 (95%CI: 0.25–0.86), respectively, as compared to the strong reaction group. After adjusted for several potential confounders in model 3, the association of LNM and BRAFV600E expression grouped by IHC intensity remained significant. Furthermore, an increased proportion of LNM was also found with the incremental intensity of IHC for BRAFV600E expression from weak to strong reaction, with an increased odds ratio from 0.38 (95%CI: 0.15–0.96) to 0.70 (95%CI: 0.33–1.47) as compared to the strong reaction group.

Table 5 Odds Ratios and 95% confidence intervals for LNM according to the different groups of BRAFV600E Ct value and intensity of IHC for BRAFV600E expression.


Among all the general characteristics, only younger age (<45years) was an independent predictor to LNM, which is consistent with previous reports that younger age was associated with an increased risk of cervical LNM in PTC. As Ning et al. suggested, younger age may indicate greater risk for the evolution of biological aggressiveness; hence appropriate initial management may improve the prognosis of younger PTC patients13.

Due to the high specificity and positive predictive value, ultrasonography is an important tool for the detection of metastatic nodes, however, only half of the LNM that are found during surgery can be identified by preoperative US, because US evaluation is an operator-dependent technique14 and unable to consistently visualize deep anatomic structures, or structures that are acoustically shadowed by bone or air.

Nam et al. demonstrated that PTCs with malignant US features had worse biological behaviors than PTCs without, including extrathyroidal extension, LNM, and advanced stage15. In other words, US features during diagnosis can serve as a useful predictive tool for biological behavior in PTC. In this study, some US features of the primary tumor showed significant differences between LNM group and non-LNM group. These features were multifocality, tumor size, shape, margin, calcification, CDFI and the distance to the capsule. However after multivariate logistic regression analysis, only multifocality, tumor size, CDFI and distance to capsule were significantly associated with LNM.

Multifocality was associated with higher probability of disease recurrence and poorer prognosis as compared to unifocal disease16. In close proximity to the previous finding17, our results showed that 29% of patients had multifocal PTC. As suggested by Kim et al., the number of tumor foci independently predicted LNM18. The clonal origin of the multifocal PTCs has not been completely identified to date. It is not clear whether these foci represent intraglandular dissemination of a single primary tumor or arise from distinct progenitor cells.

With the increase of tumor’s diameter, the infiltration depth and scope becomes deeper and wider, respectively, resulting in increased contact areas of tumor with thyroid capsule and intraglandular lymphovascular, which might increase the incidence rate of cervical LNM. Sezer et al. suggested that the lymphovascular invasion was significantly associated with an increased risk of cervical lymph node metastasis (OR = 30.61;95CI:14.99–62.49)19. Our results also showed that the optimal cut-off value of the tumor size for predicting the risk of cervical LNM was 0.95 cm, in proximity to 1 cm which is one of the diagnostic criteria of PTMC20. Most of tumors this size are indolent low risk tumors, but some of them behave more aggressively21. Therefore, as suggested by Nam-Goong et al., small tumor size alone does not assure low risk in incidentally identified thyroid cancers22.

Liu et al. indicated that only capsule invasion and tumor location were significantly associated with cervical LNM23. In this study, we found that when the primary tumor was close (<2 mm) or even clung to the thyroid capsule (the latter often exhibited a blurred boundary between the tumor and capsule, suggesting the breach of the continuity of the capsule, which is a sign of capsule invasion demonstrated by postoperative pathology), the patients were predisposed to cervical LNM. It is well established that the growth of thyroid cancer through a tissue barrier can reflect the invasive properties of the thyroid primary tumor, which continues to form an integral element of tumor staging systems24.

Angiogenesis is one of the important factors in tumor growth, metastasis and progression25. It is also a precursor for regional LNM26 and reflects microvessel density in local tumor progression27. CDFI has potential to detect blood flow differences of healthy organs and cancerous tissues, which can be used to reflect the the status of microvessels in PTC28. Some studies found that PTCs with high VEGF-A expression, which is one of the major regulators of tumor angiogenesis have a significantly higher microvessel density. This is associated with an increased risk of recurrence and worse prognosis29,30. Schluter et al. explained that the microenvironment of the primary tumor characterized by highly expressed angiogenic biomarkers prepared the tumor for metastasis, but some metastases were clinically detectable at far later time points25.

BRAF mutation that was first identified in malignant melanoma by Davies and colleagues in 200231 is the most prevalent type of genetic alteration in thyroid cancer and has been widely investigated. The incidence rate of BRAFV600E varies greatly, ranging from 29–83% in PTC, the reason for which is unclear, although it is suggested that geographic, genetic factors, or other factors may account for this32. Our results showed that 81% (226/280) PTCs harbored BRAFV600E mutation, which is a higher incidence rate within the range mentioned above.

Besides its strong correlation with PTC, BRAFV600E mutation is found to associate with aggressive behavior and poor prognosis that are defined by extrathyroidal extension, multicentricity, local recurrence, LNM, and distant metastasis33. Xing8 evaluate pooled prognostic data from all published studies and found a significant association between the BRAF mutation and LNM (OR: 1.83; 95% CI: 1.58–2.13) of PTC. However, other studies did not demonstrate this association. Kathleen et al. indicated that BRAFV600E mutation was not found to be significantly associated with the presence of LNM (P = 0.167) and multivariate analysis showed only size and venous/lymphatic invasion were significantly associated with LNM34. Consistent with this finding, our results showed no positive association between the status of the BRAFV600E mutation and the cervical LNM, and no difference between the two groups with and without LNM. The conflicting results of these studies might be due to variations in the study populations in terms of size, age distribution, histological variants, genetic factors, environmental factors, disease stages at the time of initial diagnosis, and methods or criteria used to detect the BRAFV600E mutation35,36.

Ct value was inversely related to the BRAFV600E mRNA level. Thus, a low Ct value corresponded to a higher mRNA level37. In this article, our findings showed that Ct values were lower in patients with LNM, which were in line with another retrospective study by Vivian et al.38. However, their study population was mainly Korean, with Ct40 as the cut-off value, whereas our diagnostic criterion for BRAFV600E mutation was Ct28. Immunohistochemistry was utilized to evaluate the level of BRAFV600E protein. Coinciding with the difference of Ct values in two groups, strong reactions were mainly found in the PTC patients with LNM. However, when logistic regression was performed, especially in model 3 adjusted for several potential confounders, only IHC for BRAFV600E expression grouped by intensity from weak to strong reaction had shown an increased proportion of LNM. There may be several reasons for this inconsistent role of Ct value and IHC in LNM. First, Ct value quantitatively reflects gene expression in real-time PCR, but it is determined from a log-linear plot of the PCR signal versus the cycle number, thus it is not a linear term37. Second, mRNA is unstable and easy to be degraded. Third, the procedure is regulated by many factors during the translation of mRNA to protein, which plays the ultimate role in the biological function. Fourth there may be sampling errors in FNA due to the heterogeneous distribution of BRAFV600E mutation within the tumors39.

Therefore, some PTCs with a higher expression of BRAFV600E protein may represent a proclivity to aggressive pathologic features as compared to those of lower expressions. In a vitro study, BRAFV600E-overexpressed rat thyroid cells that were grown on MatrigelTM showed increase in migration of thyroid cells40; in vivo, the percentage of mutant BRAF alleles was positively associated with tumor burden and extrathyroidal invasion in PTC41. Therefore, it may not be enough to test only the status of BRAFV600E from FNA cells; quantification of this mutated gene is required, especially for the patients who have the US signs mentioned above.

There are four limitations to our study. First, a selection bias is inevitable due to patients exclusion whose thyroid nodules were suspected of malignance examined, but without receiving further cytopathologic diagnosis or undergoing operation in our hospital. Second, this is a retrospective study, in which some images were not real-time reviewed; therefore, these results may be different if the attending surgeons performed the US. Third, diagnostic performance varied in accordance to the methodology of BRAFV600E testing and Ct cut-off values; therefore, the results may not be reproducible if another method and cut-off value are used. Finally, the study population was composed of Chinese patients, who have a higher prevalence of BRAF mutation; therefore, the conclusion of this study may not represent the situations in other countries, especially in areas with a low prevalence of BRAF mutation.

In conclusion, certain ultrasonographic features that are the sign of malignancy during examination of thyroid nodules, were associated with cervical LNM. Furthermore, we suggested a quantification of the BRAFV600E as a supplement for just testing the status of the mutated gene from FNA cells in BRAFV600E-positive patients. Therefore, the combination of US features and the quantification of the BRAFV600E could serve as an effective tool for risk stratification and determination of the initial surgical approach in PTC patients preoperatively.


Patients and specimens

This retrospective observational study was approved by Chinese People’s Liberation Army General Hospital (PLA General Hospital) Research Ethics Committees. We confirmed that all methods were performed in accordance with the relevant guidelines and regulations. Written informed consent was obtained from all patients for US-guided fine-needle aspiration (US-FNA) and BRAFV600E mutation prior to each procedure. We included 280 PTC patients who underwent surgery at PLA General Hospital between 2016 and 2017. Exclusion criteria were: (1) Patients who refused US-FNA before thyroidectomy or BRAFV600E mutation analysis of surgical specimen. (2) Patients who did not have preoperative US in our hospital or whose lesion was unable to be identified on US. (3) Patients who underwent thyroid nodule minimally invasive ablation, any cervical surgery, chemical therapy or radiotherapy. (4) Patients with benign tumor or other types of thyroid carcinoma.

The general characteristics of the 280 patients were collected, including age, sex, ethnicity, and lifestyles (smoking and alcohol drinking habits). According to previous reports, 45years was set as the cut-off value; <45years was defined as younger age.

All patients had either total thyroidectomy or near-total thyroidectomy, and received prophylactic or therapeutic central-compartment neck dissection. Lateral compartmental lymph node dissection was performed for patients with US-FNA-proven or clinically suspicious lateral cervical lymphadenopathy. Fresh PTC specimens were collected from these 280 patients undergoing thyroidectomy at PLA General Hospital. Immunohistochemistry was performed after formalin fixed and paraffin-embedded PTC tumor specimens from these patients were collected. Two experienced pathologists were delegated to review histopathological slides retrospectively for all cases to confirm the histological diagnosis.

Ultrasound examination

US imaging was performed by radiologists with 5–10 years of experience with Philips iU22 system (Philips, Amsterdam, Holland) equipped with a L12–5 linear probe at the frequency of 9–12 MHz. US images were obtained from all patients; thyroidnodules were analyzed according to the following sonographic features: nodular size, internal component (solid or cystic), echogenicity in respect to the thyroid parenchyma and strap muscle (hyperechogenicity, isoechogenicity, hypoechgenicity or marked hypoechogenicity), margin characteristics (well defined or ill defined), shape (taller than wide or wider than tall), and presence/absence of microcalcifications. The largest lesion with maximum diameter was analyzed when more than 3 nodules suspicious of malignancies were detected in the thyroid. The internal component was classified as solid in case of thyroid nodules with over 50% solid component. Echogenicity was classified as compared with the adjacent thyroid gland. US findings with at least one of these features: taller-than-wide shape, ill-defined margins, over 50% solid component, marked hypoechogenicity and the presence of microcalcifications are indicative of malignancy.

BRAF V600E mutation analysis

The BRAFV600E mutation analysis was performed with DNA that extracted from remaining FNA cells after cytologic evaluation. Real-time PCR was performed using the CFX96 real-time PCR detection system (Bio-Rad, Hercules, CA, USA). The mutant BRAF gene (encoding BRAF V600E) was amplified with specific primers. Thermal cycling conditions were initial denaturation of 1 cycle for 5 minutes at 95 °C, 95 °C for 10 minutes (1 cycle), and 95 °C for 15 seconds, followed by 15 cycles of 95 °C for 25 s, 64 °C for 20 s, and 72 °C for 20 s with a final step of annealing and elongation of 31cycles at 93 °C for 25 s, 60 °C for 35 s and 72 °C for 20 s. The BRAF V600E mutation status of each primary PTC was determined using the AmoyDx BRAF V600E Mutation Detection Kit (Amoy Diagnostics). The FAM signals of the mutation detection system indicate the mutation status of the sample. The HEX/VIC signals indicate the internal control status. The FAM Ct value was checked for each sample: a) If the sample FAM Ct value ≥28, the sample was classified as negative or below the detection limit of the kit. b) If the sample FAM Ct value < 28, the sample was classified as mutation positive.


Histological sections were fixed with 4% formalin, embedded in paraffin, cut and mounted on glass slides, stained with hematoxylin and eosin. Immunohistochemical analyses were made using the BRAFV600E mutation-specific antibody (VE1, ZM-0302, 1:30, Zhongshan Jinqiao Biological Technology Co., Ltd.). The paraffin-embedded tissue blocks were cut in 4um sections. mounted on coated glass slides and held in a drying oven at 60 °C for 2 h. Immunohistochemistry (IHC) was performed using the EnVision FLEX+ (DK-2600; Dako Denmark A/S, Glostrup, Denmark).The IHC staining results were evaluated independently by 2 observers who were blinded to all genetic and clinical data. When clear cytoplasmic staining with VE1 antibody was observed, the result was interpreted as positive and scored as weak (+), moderate (++), or strong (+++) respectively20.

Statistical Analysis

The results are expressed as mean ± SD for continuous data and percentage (%) for categorical data. Mann–Whitney U test was used for the comparison of continuous variables, of which results are expressed as median. Pearson χ2 test or Fisher’s exact test was used for comparison of categorical variables. Multivariate logistic regression was performed to examine the associations between LNM and ultrasonographic characteristics as well as quantified level of BRAFV600E mutation. The SPSS statistical software (version 22.0) was used for all analyses. A P value < 0.05 was considered to be significant.


  1. 1.

    Byrd, J. K. et al. Well differentiated thyroid carcinoma: current treatment. Curr Treat Options Oncol. 13(1), 47–57 (2012).

  2. 2.

    Moo, T. A. et al. Impact of prophylactic central neck lymph node dissection on early recurrence in papillary thyroid carcinoma. World J Surg. 34(6), 1187–91 (2010).

  3. 3.

    White, M. L., Gauger, P. G. & Doherty, G. M. Central lymph node dissection in differentiated thyroid cancer. World J Surg. 31(5), 895–904 (2007).

  4. 4.

    Lundgren, C. I., Hall, P., Dickman, P. W. & Zedenius, J. Clinically significant prognostic factors for differentiated thyroid carcinoma: a population-based, nested case-control study. Cancer. 106(3), 524–31 (2006).

  5. 5.

    Chow, S. M. et al. Papillary microcarcinoma of the thyroid-Prognostic significance of lymph node metastasis and multifocality. Cancer. 98(1), 31–40 (2003).

  6. 6.

    Xing, M. et al. BRAF mutation predicts a poorer clinical prognosis for papillary thyroid cancer. J Clin Endocrinol Metab. 90(12), 6373–9 (2005).

  7. 7.

    Xing, M. et al. Association between BRAF V600E mutation and recurrence of papillary thyroid cancer. J Clin Oncol. 33(1), 42–50 (2015).

  8. 8.

    Xing, M. BRAF mutation in papillary thyroid cancer: pathogenic role, molecular bases, and clinical implications. Endocr Rev. 28(7), 742–62 (2007).

  9. 9.

    Kim, T. H. et al. The association of the BRAF (V600E) mutation with prognostic factors and poor clinical outcome in papillary thyroid cancer: a meta-analysis. Cancer. 118(7), 1764–73 (2012).

  10. 10.

    Nam, J. K. et al. Is the BRAF (V600E) mutation useful as a predictor of preoperative risk in papillary thyroid cancer. Am J Surg. 203(4), 436–41 (2012).

  11. 11.

    Sassolas, G. et al. Oncogenic alterations in papillary thyroid cancers of young patients. Thyroid. 22(1), 17–26 (2012).

  12. 12.

    Guan, H. et al. Association of high iodine intake with the T1799A BRAF mutation in papillary thyroid cancer. J Clin Endocrinol Metab. 94(5), 1612–7 (2009).

  13. 13.

    Qu, N. et al. Number of tumor foci predicts prognosis in papillary thyroid cancer. BMC Cancer. 14, 914 (2014).

  14. 14.

    Choi, S. H., Kim, E. K., Kwak, J. Y., Kim, M. J. & Son, E. J. Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules. Thyroid. 20(2), 167–72 (2010).

  15. 15.

    Nam, S. Y. et al. Preoperative ultrasonographic features of papillary thyroid carcinoma predict biological behavior. J Clin Endocrinol Metab. 98(4), 1476–82 (2013).

  16. 16.

    Genpeng, L. et al. Independent predictors and lymph node metastasis characteristics of multifocal papillary thyroid cancer. Medicine (Baltimore). 97(5), e9619 (2018).

  17. 17.

    Kim, H. J., Sohn, S. Y., Jang, H. W., Kim, S. W. & Chung, J. H. Multifocality, but not bilaterality, is a predictor of disease recurrence/persistence of papillary thyroid carcinoma. World J Surg. 37(2), 376–84 (2013).

  18. 18.

    Kim, H. J. et al. Number of tumor foci as predictor of lateral lymph node metastasis in papillary thyroid carcinoma. Head Neck. 37(5), 650–4 (2015).

  19. 19.

    Sezer, A. et al. Relationship between lymphovascular invasion and clinicopathological features of papillary thyroid carcinoma. Bosn J Basic Med Sci. 17(2), 144–151 (2017).

  20. 20.

    Lloyd R et al. World Health Organization Classification of Tumors Pathology and Genetics of Tumors of the Endocrine Organs. (Lyon, France IARC Press; 2004).

  21. 21.

    Durante, C. et al. Identification and optimal postsurgical follow-up of patients with very low-risk papillary thyroid microcarcinomas. J Clin Endocrinol Metab. 95(11), 4882–8 (2010).

  22. 22.

    Nam-Goong, I. S. et al. Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings. Clin Endocrinol (Oxf). 60(1), 21–8 (2004).

  23. 23.

    Liu, Z. et al. Preoperative predictors of lateral neck lymph node metastasis in papillary thyroid microcarcinoma. Medicine (Baltimore). 96(10), e6240 (2017).

  24. 24.

    Edge, S. B. & Compton, C. C. The American Joint Committee on Cancer: the7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 17(6), 1471–4 (2010).

  25. 25.

    Schluter, A. et al. CD31 and VEGF are prognostic biomarkers in early-stage, but not in late-stage, laryngeal squamous cell carcinoma. BMC Cancer. 18(1), 272 (2018).

  26. 26.

    Krecicki, T. et al. Quantitative evaluation of angiogenesis in laryngeal cancer by digital image measurement of the vessel density. Auris Nasus Larynx. 29(3), 271–6 (2002).

  27. 27.

    Lentsch, E. J., Goudy, S., Sosnowski, J., Major, S. & Bumpous, J. M. Microvessel density in head and neck squamous cell carcinoma primary tumors and its correlation with clinical staging parameters. Laryngoscope. 116(3), 397–400 (2006).

  28. 28.

    Sancak, S. et al. Comparison of Color Flow Doppler Sonography (CFDS) and immunohistologic detection of microvessels for the assessment of the malignancy of thyroid nodules. Horm Metab Res. 42(9), 670–6 (2010).

  29. 29.

    Jebreel, A. et al. Vascular endothelial growth factor (VEGF), VEGF receptors expression and microvascular density in benign and malignant thyroid diseases. Int J Exp Pathol. 88(4), 271–7 (2007).

  30. 30.

    Kilicarslan, A. B. et al. Clinical importance of vascular endothelial growth factor (VEGF) for papillary thyroid carcinomas. APMIS. 111(3), 439–43 (2003).

  31. 31.

    Davies, H. et al. Mutations of the BRAF gene in human cancer. Nature. 417(6892), 949–54 (2002).

  32. 32.

    Kim, S. J. et al. BRAF V600E mutation is associated with tumor aggressiveness in papillary thyroid cancer. World J Surg. 36(2), 310–7 (2012).

  33. 33.

    Melck, A. L., Yip, L. & Carty, S. E. The utility of BRAF testing in the management of papillary thyroid cancer. Oncologist. 15(12), 1285–93 (2010).

  34. 34.

    Lee, K. C. et al. Is BRAF mutation associated with lymph node metastasis in patients with papillary thyroid cancer. Surgery. 152(6), 977–83 (2012).

  35. 35.

    Tang, K. T. & Lee, C. H. BRAF mutation in papillary thyroid carcinoma: pathogenic role and clinical implications. J Chin Med Assoc. 73(3), 113–28 (2010).

  36. 36.

    Li, Y., Nakamura, M. & Kakudo, K. Targeting of the BRAF gene in papillary thyroid carcinoma (review). Oncol Rep. 22(4), 671–81 (2009).

  37. 37.

    Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C (T)) Method. Methods. 25(4), 402–8 (2001).

  38. 38.

    Park, V. Y. et al. Real-Time PCR Cycle Threshold Values for the BRAFV600E Mutation in Papillary Thyroid Microcarcinoma May Be Associated With Central Lymph Node Metastasis: A Retrospective Study. Medicine (Baltimore). 94(28), e1149 (2015).

  39. 39.

    de Biase, D. et al. High-sensitivity BRAF mutation analysis: BRAF V600E is acquired early during tumor development but is heterogeneously distributed in a subset of papillary thyroid carcinomas. J Clin Endocrinol Metab. 99(8), E1530–8 (2014).

  40. 40.

    Knauf, J. A. et al. Targeted expression of BRAFV600E in thyroid cells of transgenic mice results in papillary thyroid cancers that undergo dedifferentiation. Cancer Res. 65(10), 4238–45 (2005).

  41. 41.

    Cheng, S. P. et al. Significance of allelic percentage of BRAF c.1799T > A (V600E) mutation in papillary thyroid carcinoma. Ann Surg Oncol. 21(Suppl 4), S619–26 (2014).

Download references


This study was supported by National Natural Science Foundation of China (No.81471681).

Author information

Liang Guo and Jie Tang designed this study. Zi-hui Deng and Feng-Wei Zhu were experimenters. Liang Guo acquired the data. Yao Yao provided statistical support for analyzing data. Jie Tang, Yu-kun Luo and Meng-Wu interpreted the data. Liang Guo and Ya-qi Ma wrote the main manuscript text. All authors reviewed the manuscript.

Correspondence to Liang Guo or Jie Tang.

Ethics declarations

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 4.0 International License, which permits use, sharing, adaptation, 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.