Literature DB >> 31440100

A multivariable model of BRAFV600E and ultrasonographic features for predicting the risk of central lymph node metastasis in cN0 papillary thyroid microcarcinoma.

Bao-Ding Chen1, Zheng Zhang1, Ke-Ke Wang1, Meng-Yuan Shang1, Shuang-Shuang Zhao1, Wen-Bo Ding2, Rui Du1, Zhuan Yu1, Xi-Ming Xu3.   

Abstract

Background: Prophylactic central lymph node dissection (CLND) in papillary thyroid microcarcinoma (PTMC) patients without clinical evidence of central lymph node metastasis (CLNM) remains controversial. The purpose of our study is to identify preoperative predictive factors for finding CLNM in Chinese PTMC patients, which may allow tailored CLND.
Methods: We retrospectively reviewed 182 consecutive Chinese PMTC patients with negative central lymph nodes who underwent total thyroidectomy plus central neck dissection from October 2015 to December 2017. Chi-squared and multivariate analysis were performed to evaluate the association of CLNM with ultrasonographic and clinicopathologic characteristics. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the utility of markers in predicting CLNM.
Results: The CLNM was found in 39.0% (71 of 182) of cN0 PTMC patients. In multivariate analysis, tumor size>7 mm (OR: 3.636, 95% CI: 1.671-7.914), marked hypoechogenicity (OR: 2.686, 95% CI: 1.080-6.678), multifocality (OR: 4.184, 95% CI: 1.707-10.258) and BRAFV600E mutation (OR: 5.339, 95% CI: 2.529-11.272) were independent predictors of CLNM. In ROC analysis integrating these predictors, the sensitivity was 63.4% and specificity was 80.2%, and the area under the ROC (AUC) was 0.755.
Conclusion:  In conclusion, we found tumor size>7 mm, marked hypoechogenicity, multifocality, and BRAFV600E mutation were risk factors for CLNM. In term of these preoperative risk factors for CLNM, prophylactic CLND should be cautiously performed in cN0 PTMC patients.

Entities:  

Keywords:  central lymph node metastasis; papillary thyroid microcarcinoma; prophylactic central lymph node dissection; risk factor

Year:  2019        PMID: 31440100      PMCID: PMC6679677          DOI: 10.2147/CMAR.S199921

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Papillary thyroid carcinoma (PTC) is the most common histological subtype of thyroid carcinoma, accounting for 85–90% of all thyroid malignancies, and its incidence is steadily increasing each year.1,2 Papillary thyroid microcarcinoma (PTMC) refers to a PTC with the greatest diameter of 10 mm or less.3 With the rapid development of high-resolution Ultrasonography and fine-needle aspiration biopsy (FNAB), impalpable PTMC has been frequently detected and diagnosed. Central lymph node metastasis (CLNM) is seen in 40–60% of PTMC patients.4 It is generally accepted that therapeutic central lymph node dissection (CLND) should be performed in patients with macroscopic CLNM. The revised American Thyroid Association (ATA) guidelines recommend that prophylactic CLND should be considered in patients with high-risk thyroid cancer.5 How to do with the low-risk PTMC patients? Recently, Agcaoglu et al recommends prophylactic CLND should not be operated for patients with tumors smaller than 5 mm and without evidence of nodal metastasis in preoperative neck ultrasonography.6 Whether patients without clinical evidence of CLNM need to receive routine prophylactic CLND remains controversial. It is the key to handle this question predicting the risk of central lymph node metastasis in cN0 PTMC validly. Ultrasonography, based on the differences of reflection, absorption and attenuation of Ultrasonography waves in thyroid tissue and surrounding neck tissue, is a standard auxiliary examination for patients with thyroid cancer.7 Although preoperative Ultrasonography plays an important role in visualizing CLNM, neck Ultrasonography examination has a very low sensitivity to visualize the CLNM lesions.8 BRAFV600E mutation, which constitutively activates the MAPK signaling pathway, is a somatic alteration highly specific to PTMC.9,10 The MAPK signaling pathway plays a crucial role in the regulation of cell growth, division, and proliferation.11 In addition, many investigations have demonstrated that the BRAFV600E mutation is associated with aggressive clinicopathologic characteristics.12,13 Given that prophylactic CLND in PTMC patients without clinical evidence of CLNM is controversial, there is a great need for independent predictors for CLNM to allow targeted prophylactic CLND. The purpose of this study is to identify clinical and biological predictors of CLNM in Chinese patients with cN0 PTMC.

Methods and materials

Patients and thyroid cancer samples

This study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Affiliated Hospital of Jiangsu University (ethical review number: SWYXLL20190225-2). Written informed consent for the evaluation of BRAF status was obtained from participant patients prior to thyroidectomy. This study was conducted in the Affiliated Hospital of Jiangsu University from October 2015 to December 2017. During this period, 232 patients underwent thyroidectomy with routine prophylactic CLND. All patients were diagnosed with PTMC preoperatively by FNAB or postoperative pathology, and the determination of CLNM confirmed with the surgery pathology. Among these patients, we set the following exclusion criteria for this study: (a) a previous history of thyroidectomy; (b) tumor size measurement>10 mm on Ultrasonography; (c) refusal of BRAFV600E analysis; and (d) absent or insufficient Ultrasonography image. The final dataset included 182 PTMC cases. We obtained demographic and clinical information including age, gender, BRAFV600E mutation, CLNM and chronic lymphocytic thyroiditis from electronic clinical and pathologic records.

Ultrasonography and image analysis

Every nodule was studied separately. Two experienced radiologists, who were unaware of clinicopathologic characteristics and BRAF results, independently interpreted all preoperative Ultrasonography features and recorded the Ultrasonography examination for each PTMC using standardized institutional protocols. When disagreements appeared between the two radiologists, the third senior radiologist reviewed the features and made the final decision. We selected the largest tumor as the target tumor when the preoperative Ultrasonography showed multifocality. Because vascularity on Ultrasonography was difficult to evaluate objectively even using color Doppler technique, vascularity was not assessed.

BRAF mutation analysis

According to published studies, the ability to detect BRAFV600E in FNAB cytologic specimens is not inferior to that in postoperative pathologic specimens.11,14 The polymerase chain reaction (PCR) conditions and primers for amplifying exon 15 of the BRAF, which contains V600E mutation, were established previously.15 Genomic DNA was extracted from FANB specimens using the QIAamp DNA FFPE Tissue Kit (QIAGEN) following the manufacturer’s instruction. For direct DNA sequencing, exon 15 was amplified by PCR, followed by the Big Dye terminator cycle sequencing reaction and sequence reading on an ABI PRISM 3730 genetic analyzer (Applied Biosystems, Foster City, CA).16

Statistical analysis

Statistical analysis was performed using SPSS software (ver. 19.0; SPSS Inc., Chicago, IL, USA). The Student’s t-test was used for comparison of continuous variables, and Pearson X2 or Fisher’s exact test was used for comparison of categorical variables. P-value≤0.05 was considered to be statistically significant. Multivariate logistic regression analysis was used to assess the relationship between the predicting factors and the presence of CLNM. A risk score for each patient was constructed based on the identified risk factors, including tumor size (1 for size>7 mm, 0 for size≤7 mm), marked hypoechogenicity (1 for presence, 0 for absence), multifocality (1 for positive, and 0 for negative) and BRAFV600E mutation (1 for positive and 0 for negative). Receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to estimate the predictive power.

Results

Demographic variables

Among the 182 patients, 71 (39.0%) were CLNM positive. There were 145 (79.7%) female and 37 (20.3%) male. The mean age was 42.0 years and 110 (60.4%) were younger than 45 years. The mean tumor size was 7.21 mm and 89 (48.9%) were larger than 7 mm in diameter. Multifocal PTMC was observed in 34 (18.9%) cases and bilateral PTMC in 29 (15.9%) cases. Suspicious Ultrasonography features including solid component, marked hypoechogenicity, microcalcifications, irregular/lobulated margins, and non-parallel orientation were presented in 98.9%, 17.6%, 59.3%, 69.8%, and 45.6% of PTMCs, respectively. Fifty-five (30.2%) cases had concomitant chronic lymphocytic thyroiditis. BRAFV600E mutation was observed in 87 (47.8%) patients.

Distribution of CLNM among cN0 PTMC patients with different clinicopathologic and ultrasonography features

As shown in Table 1, patients younger than 45 years appeared to have a higher prevalence of CLNM than those 45 years or older (66.2% vs 33.8%), but did not reach statistical significant (P=0.204). The presence of CLNM in male and female was similar (P=0.831). BRAFV600E mutation carriers were more likely to be CLNM positive (P<0.001).
Table 1

Characteristics of the patients with cN0 PTMC

CharacteristicsCentral lymph node metastasis (N=182)P-value
Positive (%)Negative (%)
Number of patients71111
Clinical characteristics
Age
 <45 years47 (66.2)63 (56.8)0.204
 ≥45 years24 (33.8)48 (43.2)
Gender
 Male15 (21.1)22 (19.8)0.831
 Female56 (78.9)89 (80.2)
Chronic lymphocytic thyroiditis
 Yes24 (33.8)31 (27.9)0.400
 No47 (66.2)80 (72.1)
Ultrasonography features
Tumor size
 >7 mm42 (59.2)47 (42.3)0.027
 ≤7 mm29 (40.8)64 (57.7)
Multifocality
 Yes20 (28.2)14 (12.6)0.009
 No51 (71.8)97 (87.4)
Bilaterality
 Yes15 (21.1)14 (12.6)0.126
 No56 (78.9)97 (87.4)
Solid component
 Yes70 (98.6)110 (99.9)1.000
 No1 (1.4)1 (0.1)
Marked hypoechogenicity
 Yes18 (25.4)14 (12.6)0.028
 No53 (74.6)97 (87.4)
Microcalcification
 Yes47 (66.2)61 (55.0)0.132
 No24 (33.8)50 (45.0)
Irregular/lobulated margin
 Yes54 (76.1)73 (65.8)0.140
 No17 (23.9)38 (34.2)
Non-parallel orientation
 Yes36 (50.7)47 (42.3)0.269
 No35 (49.3)64 (57.7)
BRAF mutation
 Yes46 (64.8)41 (36.9)<0.001
 No25 (35.2)70 (63.1)

Note: Significance was assigned for two-tailed P-value < 0.05 (bold values). 

Characteristics of the patients with cN0 PTMC Note: Significance was assigned for two-tailed P-value < 0.05 (bold values). Among Ultrasonography features of PTMC, tumor size (P=0.027), multifocality (P=0.009), and marked hypoechogenicity (P=0.028) were significantly associated with the presence of CLNM. Other Ultrasonography features, including solid component, microcalcification, irregular/lobulated margins, and non-parallel orientation, were not associated with CLNM (all P>0.05).

Multivariate logistic analysis for CLNM of PTMC

We next used multivariate logistic regression analysis to examine the independent associations between clinicopathologic and Ultrasonography features and the risk of having positive CLNM. Tumor size>7 mm (OR =3.636, 95% CI, 1.671–7.914, P=0.001), marked hypoechogenicity (OR =2.686, 95% CI, 1.080–6.678, P=0.002), multifocality (OR =4.184, 95% CI, 1.707–10.258, P=0.002) and BRAFV600E mutation (OR =5.339, 95% CI, 2.529–11.272, P<0.001) turned out to be independent risk factors for finding CLNM in clinically negative PTMC patients (Table 2).
Table 2

Multivariate analyses of factors for predicting CLNM in cN0 PTMC

PTMC characteristicsβ CoefficientOR95% Confidence IntervalP-value
Tumor size>7 mm1.2913.6361.671–7.9140.001
Marked hypoechogenicity0.9882.6861.080–6.6780.034
Multifocality1.4314.1841.707–10.2580.002
BRAFV600E mutation1.6755.3392.529–11.272<0.001
Multivariate analyses of factors for predicting CLNM in cN0 PTMC

Association between risk factors and CLNM in the score system

Finally, we computed a risk score for each patient based on the above-identified significant predictors and constructed a ROC curve using the risk score. The AUC was 0.755 (Figure 1). A cut-off point of 0.44 resulted in a sensitivity of 63.4% and a specificity of 80.2% for prediction.
Figure 1

Receiver-operating characteristic (ROC) curve for the scoring system. The area under the ROC curve (AUC) was 0.755.

Receiver-operating characteristic (ROC) curve for the scoring system. The area under the ROC curve (AUC) was 0.755.

Discussion

PTMC belongs to the low-risk PTC group of thyroid carcinomas, which are rarely life-threatening. CLNM is common in PTMC patients with an incidence of 40–60%.17 PTMC patients with clinically positive CLNM are usually treated with therapeutic CLND. However, how to manage cN0 PTMC patients is still a matter of debate because of the limited survival benefits and the CLND-associated complications, such as hypoparathyroidism and recurrent laryngeal nerve injury. Using preoperative Ultrasonography to visualize metastatic lymph node in the central compartment is not very accurate. Previous studies have attempted to identify predictive factors of CLNM in cN0 PTMC patients, but the results were inconsistent. Therefore, we set to investigate the preoperative predictive factors for occult CLNM in Chinese cN0 PTMC patients. The current system to predict cN0 CLNM primarily depends on histopathologic features, such as extrathyroidal extension (ETE), tumor subtype, and advanced T stage (T3 and/or T4), all of which are only available from postoperative pathology. Consequently, recent efforts have focused on the preoperative clinical features to predict subclinical CLNM. Preoperative risk factors for subclinical CLNM in PTMC patients were not well defined. Our study found several clinicopathologic and ultrasonographic characteristics, including large tumor size (>7 mm), marked hypoechogenicity, multifocality, and BRAFV600E mutation, which were available preoperatively, as potential risk factors for CLNM. An age of 45 years old as the cut-off point is common to be a clinical marker for prognosis. Several previous studies have shown that age<45 years exhibited a poorer prognosis.18 Consistently, in our study, there were apparently higher percentage of CLNM in patients younger than 45 years than those 45 years or older, although the difference did not reach statistical significance. As expected, tumor size was confirmed as a prognostic feature in PTMC in our study. We observed that tumor size>7 mm presented a 3.6-fold increased risk of CLNM in cN0 patients. Likewise, Zhou et al reported that tumor size>7 mm was a risk factor of CLNM.19 Two other studies also demonstrated that larger tumor size of PTMC enhanced tumor aggressiveness and worsened survival of patients.20,21 Multifocality in PTMC is an indication for increased risk of tumor recurrence and CLNM. A previous study has shown multifocality may be associated with clone selection from a preneoplastic field and spread throughout the thyroid gland.22 In a meta-analysis, Sun et al found multifocal PTMC was also an independent predictor of CLNM.8 Our study found that multifocality was also an independent predictive factor for CLNM with an OR of 4.2. Whether suspicious ultrasonographic features are associated with CLNM in cN0 PTMC remains controversial. Some studies have reported on the association between CLNM and selected preoperative ultrasonographic features, such as the presence of calcification.23 whereas other studies reported null results for the associations of CLNM with several ultrasonographic features including solid component, marked hypoechogenicity, microcalcification, microlobulated or irregular margin, and non-parallel orientation.15,24 We defined marked hypoechogenicity as decreased echogenicity when compared with the surrounding strap muscle.11 In our study, we found marked hypoechogenicity as an independent predictor for CLNM, but not other ultrasonographic features including microcacification, microlobulated or irregular margin and non-parallel orientation. Further studies are needed to clarify the value of ultrasonographic features in predicting CLNM. The prevalence of concomitant chronic lymphocytic thyroiditis (CLT) in PTC has been reported to range from 10% to 58%.15 Only a handful of investigations have reported the effects of concomitant CLT with occult CLNM. Loh et al showed that PTC patients with concomitant CLT had a good prognosis, due to the low frequency of extrathyroid extension (ETE), lymph node metastasis and distant metastasis.25,26 In our study, the incidence of CLT was less frequent in node-positive patients than node-negative patients (33.8% vs 66.2%), which did not reach statistical significance (P=0.400). Likewise, Xiang et al also did not find significant association between concomitant CLT and CLNM.17 Over the last decade, the relationship between BRAFV600E mutation and clinicopathological characteristics in PTC has been extensively studied. BRAFV600E mutation was closely related to a poor outcome and could lead to an increase in tumor recurrence and cancer-related mortality.27 BRAF mutation-related molecular alterations, including overexpression of tumor-promoting genes, silencing of tumor suppressor genes, and down-regulation of thyroid iodide-handling genes, plays a fundamental role in the formation, progression, and aggressiveness of PTMC.28,29 Though BRAFV600E mutation has been considered as an important clinical marker of adverse prognosis, its value as a predictor of CLNM is still debatable. Virk et al found that PTMC patients with BRAF mutation were more likely to present cervical lymph node metastasis characteristics.30 but a recent study showed that BRAF mutation was not a predictor for CLNM in cN0 PTMC patients.31 We examined BRAFV600E mutation on FNAB tissues preoperatively and found BRAFV600E mutation as a strong independent risk factor for CLNM (OR=5.339) in multivariate analysis. In our ROC curve analysis combining all the identified predictors, the AUC reached 0.755, demonstrating a strong prediction efficiency. A cut-off point of 0.44, resulted in a sensitivity of 63.4% and a specificity of 80.2%. Moreover, the predictors in this scoring system mainly come from preoperative ultrasonographic features, which is advantageous to postoperative markers for predicting occult CLNM. These results may aid surgeons to tailor the follow-up treatment of each PTMC patient. There are several limitations to our study. Firstly, our study was a retrospective observational study and there may be selection bias. Secondly, the 232 patients of our studies are all Chinese, and whether the identified factors can predict CLNM in other races needs further investigation. Thirdly, locoregional recurrence and disease-specific survival were not investigated in this study due to short follow-up time and low events. Fourthly, some risk factors for CLNM such as family history and behaviors, have not been investigated in our study. Future prospective, multicenter, large sample size, and long-term follow-up studies are warranted to evaluate the impact of occult CLNM on prognosis. In summary, we presented several independent predictive factors for CLNM in patients with cN0 PTMC. We constructed a risk prediction model consisting of tumor size>7 mm, marked hypoechogenicity, multifocality and BRAFV600E mutation that may guide surgeons to evaluate the nodal status in cN0 PTMC and perform tailored prophylactic CLND.
  30 in total

1.  The role of BRAFV600E mutation and ultrasonography for the surgical management of a thyroid nodule suspicious for papillary thyroid carcinoma on cytology.

Authors:  Hee Jung Moon; Jin Young Kwak; Eun-Kyung Kim; Jong Rak Choi; Soon Won Hong; Min Jung Kim; Eun Ju Son
Journal:  Ann Surg Oncol       Date:  2009-07-31       Impact factor: 5.344

2.  BRAF V600E maintains proliferation, transformation, and tumorigenicity of BRAF-mutant papillary thyroid cancer cells.

Authors:  Dingxie Liu; Zhi Liu; Stephen Condouris; Mingzhao Xing
Journal:  J Clin Endocrinol Metab       Date:  2007-03-20       Impact factor: 5.958

3.  The importance of central compartment elective lymph node excision in the staging and treatment of papillary thyroid cancer.

Authors:  Maisie Shindo; James C Wu; Eunice E Park; Frances Tanzella
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2006-06

4.  The prognostic value of primary tumor size in papillary and follicular thyroid carcinoma.

Authors:  Andreas Machens; Hans-Jürgen Holzhausen; Henning Dralle
Journal:  Cancer       Date:  2005-06-01       Impact factor: 6.860

5.  The BRAF mutation is not associated with poor prognostic factors in Korean patients with conventional papillary thyroid microcarcinoma.

Authors:  Tae Yong Kim; Won Bae Kim; Ja Young Song; Yoon Soo Rhee; Gyungyub Gong; Yong Mee Cho; Sang Yoon Kim; Seong Chul Kim; Suck Joon Hong; Young Kee Shong
Journal:  Clin Endocrinol (Oxf)       Date:  2005-11       Impact factor: 3.478

6.  Influence of lymphocytic thyroiditis on the prognostic outcome of patients with papillary thyroid carcinoma.

Authors:  K C Loh; F S Greenspan; F Dong; T R Miller; P P Yeo
Journal:  J Clin Endocrinol Metab       Date:  1999-02       Impact factor: 5.958

7.  A review of 227 cases of small papillary thyroid carcinoma.

Authors:  H Zuo; W Tang; H Yasuoka; Y Nakamura; Y Ito; A Miyauchi; K Kakudo
Journal:  Eur J Surg Oncol       Date:  2006-10-27       Impact factor: 4.424

8.  BRAF mutations in papillary carcinomas of the thyroid.

Authors:  Toshihiko Fukushima; Shinichi Suzuki; Miyuki Mashiko; Tohru Ohtake; Yoshiyuki Endo; Yuji Takebayashi; Koji Sekikawa; Koichi Hagiwara; Seiichi Takenoshita
Journal:  Oncogene       Date:  2003-09-25       Impact factor: 9.867

9.  Clinicopathological analysis of papillary thyroid cancer with PIK3CA alterations in a Middle Eastern population.

Authors:  Jehad Abubaker; Zeenath Jehan; Prashant Bavi; Mehar Sultana; Sayer Al-Harbi; Muna Ibrahim; Abdulrahman Al-Nuaim; Mohammed Ahmed; Tarek Amin; Maha Al-Fehaily; Osama Al-Sanea; Fouad Al-Dayel; Shahab Uddin; Khawla S Al-Kuraya
Journal:  J Clin Endocrinol Metab       Date:  2007-11-13       Impact factor: 5.958

10.  Clinical and histological characteristics of papillary thyroid microcarcinoma: results of a retrospective study in 243 patients.

Authors:  Elio Roti; Roberta Rossi; Giorgio Trasforini; Fiorenza Bertelli; Maria Rosaria Ambrosio; Luciano Busutti; Elizabeth N Pearce; Lewis E Braverman; Ettore C Degli Uberti
Journal:  J Clin Endocrinol Metab       Date:  2006-02-14       Impact factor: 5.958

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Authors:  Quan-Lin Guan; Qian-Wen Luo; Shan Gao; Xiao Lv; Si-Jia Li; Bo-Fang Wang; Qing-Qing Han; Yun-Peng Wang; Tao Gong
Journal:  BMC Cancer       Date:  2022-06-02       Impact factor: 4.638

2.  Integrating BRAFV600E mutation, ultrasonic and clinicopathologic characteristics for predicting the risk of cervical central lymph node metastasis in papillary thyroid carcinoma.

Authors:  Zheng Zhang; Xin Zhang; Yifei Yin; Shuangshuang Zhao; Keke Wang; Mengyuan Shang; Baoding Chen; Xincai Wu
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3.  A Nomogram Based on Clinicopathological and Ultrasound Imaging Characteristics for Predicting Cervical Lymph Node Metastasis in cN0 Unilateral Papillary Thyroid Microcarcinoma.

Authors:  Lina Zhang; Yuwei Ling; Ye Zhao; Kaifu Li; Jing Zhao; Hua Kang
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4.  Web-Based Ultrasonic Nomogram Predicts Preoperative Central Lymph Node Metastasis of cN0 Papillary Thyroid Microcarcinoma.

Authors:  Chunwang Huang; Shuzhen Cong; Shiyao Shang; Manli Wang; Huan Zheng; Suqing Wu; Xiuyan An; Zhaoqiu Liang; Bo Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-07       Impact factor: 5.555

5.  Model development to predict central lymph node metastasis in cN0 papillary thyroid microcarcinoma by machine learning.

Authors:  Yaocheng Yu; Zhiwei Yu; Mengxuan Li; Yidi Wang; Changjiao Yan; Jing Fan; Fei Xu; Huimin Meng; Jing Kong; Songpeng Li; Rui Ling; Ting Wang
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6.  Development and validation of an ultrasound-based nomogram for preoperative prediction of cervical central lymph node metastasis in papillary thyroid carcinoma.

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