Limited Clinical and Diagnostic Utility of Circulating Tumor DNA Detection in Patients with Early-Stage Well-Differentiated Thyroid Cancer: Comparison with Benign Thyroid Nodules and Healthy Individuals
by
, , ,
Yong Joon Suh
1
,
Mi Jung Kwon
2,*,
Hye-Mi Noh
3,*,
Hong Kyu Lee
4,
Yong Joon Ra
4 and
Nan Young Kim
5 1
Department of Breast and Endocrine Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22, Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang-si 14068, Gyeonggi-do, Korea
2
Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22, Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang-si 14068, Gyeonggi-do, Korea
3
Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22, Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang-si 14068, Gyeonggi-do, Korea
4
Department of Thoracic and Cardiovascular Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, 22, Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang-si 14068, Gyeonggi-do, Korea
5
Hallym University Medical Center, Hallym Institute of Translational Genomics and Bioinformatics, Anyang 14068, Gyeonggi-do, Korea
*
Authors to whom correspondence should be addressed.
Healthcare 2021, 9(4), 386; https://doi.org/10.3390/healthcare9040386
Submission received: 18 February 2021
/
Revised: 18 March 2021
/
Accepted: 23 March 2021
/
Published: 1 April 2021
(This article belongs to the Section Perioperative Care)
Abstract
:Limited data are available on the diagnostic utility of circulating tumor DNA (ctDNA) in early-stage thyroid cancers for BRAF, KRAS, NRAS, and TERT promoter mutations, which are known detectable markers for thyroid cancers. Here, we analyzed the above driver mutations in ctDNA and matched neoplastic tissues from patients with early-stage thyroid cancers in order to investigate diagnostic utility of circulating markers in distinguishing from other mimicking thyroid lesions and healthy individuals. In total, 73 matched neoplastic tissue and plasma samples [thyroid cancers (n = 62), benign thyroid disorders (n = 8), and parathyroid lesions (n = 3)] and 54 plasma samples from healthy individuals (as controls) were analyzed for BRAF, KRAS, NRAS, and TERT promoter mutations using peptide nucleic acid clamp real-time PCR. Although only one patient with an indeterminate lesion on thyroid cytology showed KRAS mutation (codon 146) in the preoperative plasma, that KRAS mutation was not identified in the stage I papillary thyroid carcinoma tissue. In the remaining 72 plasma samples, no other mutations were identified in BRAF, NRAS, and TERT promoter genes. The concordance rates of mutational results between the plasma and tumor tissue or metastatic lymph node were very low. One (1.9%) of the 54 healthy individuals harbored a KRAS mutation in the plasma samples. The ctDNA results did not represent the mutational profile of primary or metastatic thyroid cancers, warranting a caution for interpretation. The clinical utility of BRAF, KRAS, NRAS, and TERT promoter mutation analysis on ctDNA appears to be limited to early-stage thyroid cancers.
1. Introduction
Thyroid cancer has been one of the most widespread malignancies of the endocrine-related system over the past few decades, with a vivid increasing rate [1,2]. In the Korean population, there has been a recent rise in the incidence of thyroid cancers that represent the fourth most common cancers and the second most common malignancies in Korean women, raising nationwide concern [1]. Papillary thyroid carcinoma (PTC) and follicular thyroid carcinoma (FTC) are the most common types of thyroid malignancies, accounting for more than 90% [2]. Ultrasound-guided fine-needle aspiration biopsy (FNAB) is the most reliable nonsurgical test for the detection of thyroid cancer, representing the gold standard in the management of thyroid nodules, allowing the distinction between lesions that need surgery and those that do not [3]. Despite the high sensitivity and specificity of thyroid cytology, indeterminate or non-diagnostic results in 20–40% of FNAB limit its utility and may complicate the management of thyroid nodules [3,4]. Addition of BRAF V600E mutation analysis in FNAB has been employed in an attempt to further refine diagnostic accuracy in the case of indeterminate Bethesda III–IV lesions [5], which is encouraging but does not fully address the problem of diagnosis of indeterminate lesions [6]. Therefore, development of reliable molecular markers for these tumors through a less invasive technique than FNAB is significant in terms of diagnosis, prognosis, treatment, and follow-up [7].
Genetic and epigenetic alteration of the RAS–RAF–MEK–MAPK–ERK pathway, and mutations in NRAS, KRAS, and BRAF, have been shown to strongly influence the development of thyroid cancers [7,8,9]. TERT promoter mutation, which induces aberrant activation of telomerase, has also been reported as a risk factor for disease progression of PTC and transformation to anaplastic carcinoma [10]. Circulating tumor DNA (ctDNA) testing in plasma, evaluated in several cancer models, exhibits the potential to be a supplemental tool for conventional tumor biopsies or cytology [11,12], particularly for advanced metastatic tumors or unresectable cancer [13,14]. Because ctDNA is composed of small fragments of nucleic acid that are released from apoptotic or necrotic tumor cells and circulate in the blood [11], sampling ctDNA from blood may potentially allow early diagnosis of thyroid cancer. Nevertheless, there have been conflicting results regarding early detection and tumor recurrence using ctDNA as a diagnostic marker in the plasma of patients with PTC [13,15,16,17,18]. It must be noted that most studies of ctDNA in thyroid cancer have focused on patients in late stages of the disease or otherwise the specific description for the stages were unclear [15,16,17,18,19]. Limited data are available on the evaluation of ctDNA detection in early-stage thyroid cancer, which was only a series of overall thyroid cancers regardless of the stages [19]. Thus, detection of genomic abnormalities in ctDNA and their association with clinical characteristics in early-stage thyroid cancer need to be clarified.
Here, we comprehensively analyzed BRAF, NRAS, KRAS, and TERT promoter mutations from 73 matched neoplastic tissue and plasma DNA samples, including preoperative plasma, along with 27 matched metastatic lymph nodes, in order to investigate diagnostic utility of circulating markers in distinguishing early-stage thyroid cancers from other mimicking thyroid lesions and healthy individuals.
2. Materials and Methods
2.1. Patient Population and Blood Sample Collection
This prospective study involved 73 consecutive intrathyroid neoplasmic patients undergoing initial curative surgery and control healthy individuals (n = 54) between September 2018 and May 2019. Patients with thyroid cancers (n = 62), benign thyroid disorders (n = 8), and parathyroid lesions (n = 3) underwent initial curative surgery after cytological diagnosis based on ultrasound imaging and sono-guided aspiration. Finally, 73 matched tumor and plasma DNA samples from patients with thyroid neoplasms (pathologically proven: 60 PTCs, 2 FTCs, 6 nodular hyperplasias, 2 Graves’ diseases, 1 parathyroid carcinoma, 1 parathyroid adenoma, and 1 parathyroid hyperplasia) were investigated. Additionally, 27 cases with metastatic nodes were investigated. Healthy controls (n = 54) were individuals who visited the hospital for routine physical examination. All subjects provided written informed consent for the procedure, and the study protocol was approved by the Institutional Review Board of Hallym University Sacred Heart Hospital (IRB No. HALLYM 2018-07-018). Peripheral blood samples (10 mL) were obtained from each patient before surgery or from each healthy individual during examination for subsequent analyses.
2.2. DNA Extraction
DNA was extracted from 4 μm thick sections of 10% neutral formalin-fixed paraffin embedded (FFPE) tumor tissue blocks using a Maxwell® 16 FFPE Tissue LEV Purification Kit for DNA (Promega, Leiden, The Netherlands) according to the manufacturer’s instructions. The sections were deparaffinized in xylene and washed in ethanol prior to DNA extraction.
For plasma DNA, 10 mL peripheral blood samples collected in PAXgene Blood ccfDNA Tubes (PreAnalytiX GmbH, Hombrechtikon, Switzerland), transported within 1 h to the laboratory, were centrifuged twice at 1600 and 14,000 rpm for 10 min at 4 °C. Plasma was aliquoted into 1.5 mL tubes after centrifugation and stored at −80 °C until genetic analysis. Isolation of cell-free DNA from plasma was carried out using an OptiPure cfDNA kit (TAN Bead, Taoyuan City, Taiwan) as per the manufacturer’s instructions.
After the DNA was eluted in 50 μL of elution buffer, its concentration and purity were measured using a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA). The extracted DNA was stored at −20 °C until further experiments.
2.3. BRAF, NRAS, KRAS, and TERT Promoter Gene Analysis
A total of 91 activating mutations in BRAF (codon 600), NRAS (codon 12, codon 13, codon 59, codon 61, codon 117, and codon 146), KRAS (codon 12, codon 13, codon 59, codon 61, codon 117, and codon 146), and TERT promoter (C250 and C228) genes were investigated. BRAF, NRAS, KRAS, and TERT promoter gene mutations were detected by performing peptide nucleic acid (PNA)-mediated real-time polymerase chain reaction (PCR) clamping with PNAClamp™ BRAF Mutation Detection Kit, PNAClamp™ KRAS Kit, PNAClamp™ NRAS Kit, and PNAClamp™ TERT Mutation Detection Kit (PANAGENE, Daejeon, Korea), respectively, according to the manufacturer’s instructions, and as described previously [15,20]. PNA is a synthetic DNA analog in which the phosphodiester backbone is replaced by a peptide-like repeat formed by (2-aminoethyl)-glycine units. This kit is an amplified DNA test for qualitative detection using PNA probes and Ct analysis in a real-time PCR system. The principle underlying the PNAClamp™ technology is that PNA inhibits the amplification of wild-type DNA by hybridizing to wild-type sequences, so that the mutant DNA is predominantly amplified. It is then detected using a DNA-intercalating dye.
PCR amplification for BRAF, KRAS, and NRAS was performed in a total volume of 20 μL that contained 7 μL of DNA, 3 μL of respective PNA mix, and 10 μL of 2× premix, in a total volume of 20 μL, whereas that of TERT promoter consisted of 5 μL of DNA and 15 μL of PNA mix.
The DNA in the reaction was then amplified using the CFX96 real-time PCR system (Bio-Rad, Hercules, CA, USA) with the following thermal programs: for BRAF, pre-denaturation at 94 °C for 5 min, followed by 40 cycles of four temperature steps: 94 °C for 30 s, 70 °C for 20 s, 63 °C for 30 s, and 72 °C for 30 s, followed by a final extension at 72 °C for 5 min; for KRAS and NRAS, two holding periods of 50 °C for 2 min and 95 °C for 15 min, 15 cycles of denaturation at 95 °C for 30 s, annealing at 70 °C for 20 s, and extension at 63 °C for 60 s, 35 cycles of denaturation at 95 °C for 10 s, annealing at 53 °C for 20 s, and extension at 73 °C for 20 s, and a melting curve step with increase in temperature from 35 °C to 75 °C; for TERT promoter, pre-denaturation at 95 °C for 15 min, followed by 40 cycles of four temperature steps: 95 °C for 30 s, 80 °C for 20 s, 76 °C for 20 s, 72 °C for 20 s, and 68 °C for 30 s, followed by a final extension of 72 °C for 30 s.
The threshold cycle (Ct) was automatically calculated from the PCR amplification plots in which fluorescence was plotted against the number of cycles. Delta-Ct values (∆Ct) were calculated as the Ct value of the PCR with the PNA control minus the Ct value of the PCR of the samples. Higher ∆Ct means that the mutant was efficiently amplified. Each cutoff value was used for determining the presence of mutant DNA.
2.4. Statistical Analysis
Demographic data are presented as the mean ± SD, or as number (n) and percentage. Statistical analyses of BRAF mutation and clinicopathological features in PTCs were performed using the Chi-square test or the 2-tailed Fisher’s exact test. Concordance between mutation analysis of archival tumor tissue and mutation analysis of cell-free DNA from plasma samples was calculated using a kappa coefficient. The SPSS statistical software (ver. 20) (IBM Corp., Armonk, NY, USA) was used for all statistical analyses. p values < 0.05 were considered to be statistically significant.
3. Results
Baseline characteristics of the study population and tumor status are summarized in Table 1. Preoperative cytologic results of Bethesda categorization for the 73 nodules and their final pathologic diagnosis after surgery are summarized in Figure 1a. Among them, only one patient, preoperatively diagnosed with Bethesda III (atypia of undetermined significance) in the thyroid cytology, showed one KRAS mutation at codon 146 in the preoperative plasma sample (Figure 1b). That 53-year-old female patient was diagnosed with stage I (pT3bN0aM0) PTC, and the tissue contained 3 foci of PTCs with microscopic perithyroid soft tissue invasion in both thyroid lobes, measuring 0.3 × 0.2 cm (right upper pole), 1.1 × 0.7 cm (right mid to lower pole), and 0.7 × 0.3 cm (left mid portion). However, this KRAS mutation was not identified in the tumor tissue. Whole-body 18F-FDG PET/CT scan was performed for staging the extent of PTC and to rule out other primary malignancies, which did not show any increased FDG uptake, suggestive of no suspected malignancies. However, in the other 72 plasma samples, no other mutations were identified in BRAF, NRAS, KRAS, and TERT promoter genes. As a result, no significant differences in ctDNAs were detected in any of the remaining 72 patients (Table 2).
However, one KRAS mutation at codon 146 was observed in one person, a 43-year-old male, out of the 54 healthy individuals. The past medical history of that individual was non-specific. Thus, ctDNA analyses of BRAF, NRAS, KRAS, and TERT promoter gene mutations could not differentiate between samples from benign and malignant thyroid lesions or healthy individuals.
Among 60 PTCs, 41 primary tumor tissues (68.3%) harbored the BRAF mutation, while 2 (3.5%) harbored TERT promoter mutation. However, none of these cases who were positive for either BRAF mutation or TERT promoter mutation in primary tumors had detectable BRAF or TERT promoter mutation in the corresponded plasma. There were no significant differences in clinical or pathologic characteristics between the PTC patients with and without BRAF mutation (Table 3).
It was observed that 27 out of 60 PTCs had the matched metastatic lymph nodes and the plasma samples (Table 4). In those 27 metastatic node tissues of PTC, 17 (63.0%, 17/27), 3 (11.1%, 3/27), and 1 (3.7%, 1/27) metastatic nodal tissues showed BRAF, NRAS, and TERT promoter mutations, respectively. However, none of the patients who tested positive for either BRAF mutation, NRAS mutation, or TERT promoter mutation in primary tumors had detectable mutations in their plasma.
Taken together, the concordance rates of the tumor tissue versus plasma and the metastatic lymph node versus plasma of BRAF results were 23.9% (17/71) and 11.1% (3/27), respectively, which did not display any statistical association (κ = 0.032, p = 0.465; κ = 0.030, p = 0.561, respectively). The concordance rates of the tumor tissue or the metastatic lymph node versus plasma of KRAS results were 78.9% (56/71) and 70.4% (19/27), respectively, which were not statistically significant (κ = 0.059, p = 0.410; κ = 0.033, p = 0.547, respectively). The concordance rates of the tumor tissue or the metastatic lymph node versus plasma of NRAS results were 74.3% (52/70) and 55.6% (15/27), respectively, which were not statistically significant (κ = 0.049, p = 0.511; κ = 0.061, p = 0.332, respectively). The concordance rates of the tumor tissue or the metastatic lymph node versus plasma of TERT promoter results were 84.3% (59/70) and 85.2% (23/27), respectively, which did not show statistical significance (κ = 0.076, p = 0.397; κ = 0.029, p = 0.719, respectively) either.
4. Discussion
In this study, 73 matched neoplastic tissue and plasma DNA samples and 54 plasma DNA samples from healthy individuals were examined for the diagnostic utility of ctDNA in thyroid cancers focusing on BRAF, KRAS, NRAS, and TERT promoter mutations. The ctDNA analyses of BRAF, NRAS, KRAS, and TERT promoter gene mutations could not differentiate between patients with benign or malignant thyroid lesions and healthy individuals. The statistically significant concordance with respect to mutational results between tumor tissues, metastatic nodal tissues, and matched plasma was not observed in early-stage thyroid cancers.
In the present study, of 60 PTCs, 41 were BRAF-mutated (68.3%) and TERT promoter-mutated (3.5%), in contrast to no NRAS or KRAS mutation in the tumor tissues. In addition, the BRAF V600E mutation was absent in plasma or tissue DNA samples obtained from patients with benign follicular adenomas or adenomatous goiter, which is consistent with an earlier report [19]. Furthermore, frequencies of BRAF and TERT promoter mutations in the tumor tissues were also found to be in line with previous studies [10,21]. The frequency of the BRAF V600E mutation in PTC ranged from 29% to 83% in different regions and from 70% to 80% in Korea, a BRAF V600E mutation-prevalent area [9]. The TERT promoter mutation has been identified in ~10% of PTCs and is closely associated with aggressive clinical behavior of PTCs [10,21]. However, the corresponding ctDNAs of BRAF, NRAS, and TERT promoter mutations were all negative. We found only one KRAS mutation in the plasma from preoperative indeterminate cytology, and postoperative pathologically proven stage I PTC. However, that KRAS mutation was not identified in the tumor tissue. Whole-body 18F-FDG PET/CT scan did not reveal any other suspected malignancy. The KRAS G12V mutation detected via ctDNA analysis has been reported in the plasma of 1 patient with stage IVA PTC, with ctDNA being the only mutation (1.8%) detected in that patient [13]. This KRAS mutation was detected in both plasma and tumor tissue [13], which was in contrast to the present study. In order to address the possibility of KRAS mutation being detected only in the circulating plasma DNA and not in the tumor tissue, our findings agree with the previous studies, where the discordant result of primary tissue (wild-type) and plasma (mutant) has been also described in colorectal cancers [22] and pancreatic cancers [23]. It is possible that the discordance between primary tumor and circulating tumor cells accounts for the tumors being heterogeneous, harboring small subsets of cells with specific mutations not detected in routine diagnostics [23]. Future studies are warranted to determine clinical significance of discordant serum KRAS mutation through larger prospective studies of PTCs. Despite the highly sensitive technique being used in our study, circulating BRAF, NRAS, and TERT promoter mutation alleles were not detected in the plasma of patients with PTC and FTC, with the exception of one KRAS mutation in the patient with indeterminate lesion. Very low detectable or undetectable ctDNA in the thyroid cancers has also been raised as an issue by previous studies [13,18]. These low rates of detection may be related to the fact that the majority of thyroid cancers are PTCs with a propensity for lymphatic spread rather than hematogenous metastasis [24,25]. Furthermore, it is consistent with previous data showing that, unlike other cancers detectable more than 75%, such as advanced pancreatic, ovarian, colorectal, bladder, gastroesophageal, breast, melanoma, hepatocellular, and head and neck cancers, less than 50% of patients even with metastatic thyroid cancer harbored detectable ctDNA [14]. A clinical trial of ctDNA in patients with thyroid nodules was also terminated due to preliminary results indicating that this test had a significant number of false-negative results (NCT02778412). The clinical implication of ctDNA seems to be dependent on the tumor type and stage. Therefore, our results raise the question about the clinical utility of BRAF, KRAS, NRAS, and TERT promoter mutation analysis using ctDNAs of patients with thyroid cancers.
Using a relatively large number of healthy subjects to detect cancer-associated mutations in liquid biopsy, our study leads to a cautionary note that identification of driver mutations may not signify presence of disease. One (1.9%) of the 54 healthy individuals harbored a KRAS mutation, as detected in the plasma samples. Similarly, KRAS mutation (2.6%) independent of tumor tissue has been reported previously in healthy subjects [26]. One study has reported the presence of ctDNA, including NRAS mutation, TP53 mutation, GNAS mutation, and both KRAS and TP53 mutations, in 4% of healthy individuals, with the results indicating the false-positive rate of this method [17]. Gormally et al. [27] found that 3% of the control population had TP53 mutations, and 1% had KRAS mutations, none of whom developed cancer. The study considered the mutational results detected in a high cancer-risk population as positive results, rather than a low cancer-risk population [27]. Because circulating free DNA may be derived from apoptotic or necrotic cells and can be released actively from normal and diseased cells, the detection of mutations in a background of normal circulating free DNA molecules may not be indicative of tumoral origin.
Lymph node metastasis is frequent in PTC, as seen in 20–90% of patients, and is associated with locoregional recurrence [24,25]. Considering tumor heterogeneity, analysis of ctDNA could theoretically provide more comprehensive and representative information regarding metastasis of multiple tumor deposits [28]. Using 27 matched metastatic lymph node and plasma samples from 60 patients with PTC, BRAF mutations (63.0%), NRAS mutations (11.1%), and TERT promoter mutations (3.7%) were detected in metastatic nodal tissues. However, we found no statistically significant concordance in any BRAF, KRAS, NRAS, and TERT promoter mutation between the tumor tissue versus plasma, and the metastatic lymph node versus plasma.
The limitation of the current study may be that we failed to prove the clinical utility of BRAF, KRAS, NRAS, and TERT promoter mutation as circulating markers in early-staged thyroid cancers distinguishing from benign thyroid lesions or healthy individuals. It might be that larger amounts of blood may be needed to capture ctDNA-carrying mutations. We could not additionally analyze the ctDNA results by other methods including droplet digital polymerase chain reaction (ddPCR) or next-generation sequencing to validate, due to lack of remaining plasma samples [29]. The reason for the higher failed rate in plasma BRAF mutational analysis than others in the study may be in the order of repetition of freezing and thawing extracted DNA samples from TERT, KRAS, NRAS to BRAF, presumably leading to gradually decreased DNA quality. Chan et al. [30] reported that repeated freezing and thawing of plasma or extracted DNA would affect the integrity of plasma DNA. Given that ctDNA shows little promise for this patient group, other options such as different liquid biopsy approaches might be worth investigating for their diagnostic utility in this cancer for future research [31].
5. Conclusions
The detection of ctDNA from plasma did not represent the mutation profiles of primary or metastatic thyroid cancers, warranting a caution in the interpretation. The use of ctDNA to assist cytology in cases of indeterminate lesions was not helpful in improving the diagnoses of thyroid disorders, which seems to be limited still in routine clinical practice.
Author Contributions
Conceptualization, writing—original draft preparation, M.J.K.; supervision, writing—review and editing, Y.J.S. and H.-M.N.; resources, investigation, H.K.L. and Y.J.R.; methodology, N.Y.K. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the Hallym University Research Fund (HURF-2018-64) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (No. NRF-2019R1C1C1004463).
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Hallym University Sacred Heart Hospital (IRB No. HALLYM 2018-07-018).
Informed Consent Statement
All study subjects agreed to participate in the study.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors have no conflicts of interest to declare.
References
- Jung, K.W.; Won, Y.J.; Kong, H.J.; Lee, E.S. Prediction of Cancer Incidence and Mortality in Korea, 2019. Cancer Res. Treat. 2019, 51, 431–437. [Google Scholar] [CrossRef]
- Conzo, G.; Avenia, N.; Bellastella, G.; Candela, G.; de Bellis, A.; Esposito, K.; Pasquali, D.; Polistena, A.; Santini, L.; Sinisi, A.A. The role of surgery in the current management of differentiated thyroid cancer. Endocrine 2014, 47, 380–388. [Google Scholar] [CrossRef]
- Alexander, E.K.; Kennedy, G.C.; Baloch, Z.W.; Cibas, E.S.; Chudova, D.; Diggans, J.; Friedman, L.; Kloos, R.T.; LiVolsi, V.A.; Mandel, S.J.; et al. Preoperative diagnosis of benign thyroid nodules with indeterminate cytology. N. Engl. J. Med. 2012, 367, 705–715. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cibas, E.S.; Ali, S.Z. The 2017 Bethesda System for Reporting Thyroid Cytopathology. Thyroid 2017, 27, 1341–1346. [Google Scholar] [CrossRef] [PubMed]
- Cohen, Y.; Rosenbaum, E.; Clark, D.P.; Zeiger, M.A.; Umbricht, C.B.; Tufano, R.P.; Sidransky, D.; Westra, W.H. Mutational analysis of BRAF in fine needle aspiration biopsies of the thyroid: A potential application for the preoperative assessment of thyroid nodules. Clin. Cancer Res. 2004, 10, 2761–2765. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Su, X.; Jiang, X.; Xu, X.; Wang, W.; Teng, X.; Shao, A.; Teng, L. Diagnostic value of BRAF (V600E)-mutation analysis in fine-needle aspiration of thyroid nodules: A meta-analysis. Onco Targets Ther. 2016, 9, 2495–2509. [Google Scholar] [CrossRef] [Green Version]
- Nikiforov, Y.E.; Nikiforova, M.N. Molecular genetics and diagnosis of thyroid cancer. Nat. Rev. Endocrinol. 2011, 7, 569–580. [Google Scholar] [CrossRef] [PubMed]
- Chiosea, S.; Asa, S.L.; Berman, M.A.; Carty, S.E.; Currence, L.; Hodak, S.; Nikiforov, Y.E.; Richardson, M.S.; Seethala, R.R.; Sholl, L.M.; et al. Template for Reporting Results of Biomarker Testing of Specimens From Patients With Thyroid Carcinoma. Arch. Pathol. Lab. Med. 2017, 141, 559–563. [Google Scholar] [CrossRef]
- Vu-Phan, D.; Koenig, R.J. Genetics and epigenetics of sporadic thyroid cancer. Mol. Cell. Endocrinol. 2014, 386, 55–66. [Google Scholar] [CrossRef] [Green Version]
- Oishi, N.; Kondo, T.; Ebina, A.; Sato, Y.; Akaishi, J.; Hino, R.; Yamamoto, N.; Mochizuki, K.; Nakazawa, T.; Yokomichi, H.; et al. Molecular alterations of coexisting thyroid papillary carcinoma and anaplastic carcinoma: Identification of TERT mutation as an independent risk factor for transformation. Mod. Pathol. 2017, 30, 1527–1537. [Google Scholar] [CrossRef]
- Fleischhacker, M.; Schmidt, B. Circulating nucleic acids (CNAs) and cancer—A survey. Biochim. Biophys. Acta BBA Rev. Cancer 2007, 1775, 181–232. [Google Scholar] [CrossRef]
- Salvianti, F.; Giuliani, C.; Petrone, L.; Mancini, I.; Vezzosi, V.; Pupilli, C.; Pinzani, P. Integrity and Quantity of Total Cell-Free DNA in the Diagnosis of Thyroid Cancer: Correlation with Cytological Classification. Int. J. Mol. Sci. 2017, 18, 1350. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lupo, M.; Guttler, R.; Geck, Z.; Tonozzi, T.R.; Kammesheidt, A.; Braunstein, G.D. Is Measurement of Circulating Tumor DNA of Diagnostic Use in Patients with Thyroid Nodules? Endocr. Pract. 2018, 24, 453–459. [Google Scholar] [CrossRef] [PubMed]
- Bettegowda, C.; Sausen, M.; Leary, R.J.; Kinde, I.; Wang, Y.; Agrawal, N.; Bartlett, B.R.; Wang, H.; Luber, B.; Alani, R.M.; et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci. Transl. Med. 2014, 6, 224ra24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kim, B.H.; Kim, I.J.; Lee, B.J.; Lee, J.C.; Kim, I.S.; Kim, S.J.; Kim, W.J.; Jeon, Y.K.; Kim, S.S.; Kim, Y.K. Detection of plasma BRAF(V600E) mutation is associated with lung metastasis in papillary thyroid carcinomas. Yonsei Med. J. 2015, 56, 634–640. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Pupilli, C.; Pinzani, P.; Salvianti, F.; Fibbi, B.; Rossi, M.; Petrone, L.; Perigli, G.; De Feo, M.L.; Vezzosi, V.; Pazzagli, M.; et al. Circulating BRAFV600E in the diagnosis and follow-up of differentiated papillary thyroid carcinoma. J. Clin. Endocrinol. Metab. 2013, 98, 3359–3365. [Google Scholar] [CrossRef] [Green Version]
- Chen, A.Y.; Braunstein, G.D.; Anselmo, M.S.; Jaboni, J.A.; Viloria, F.T.; Neidich, J.A.; Li, X.; Kammesheidt, A. Mutation detection with a liquid biopsy 96 mutation assay in cancer patients and healthy donors. Cancer Transl. Med. 2017, 3, 39–45. [Google Scholar] [CrossRef]
- Condello, V.; Macerola, E.; Ugolini, C.; De Napoli, L.; Romei, C.; Materazzi, G.; Elisei, R.; Basolo, F. Analysis of circulating tumor DNA does not improve the clinical management of patients with locally advanced and metastatic papillary thyroid carcinoma. Head Neck 2018, 40, 1752–1758. [Google Scholar] [CrossRef] [PubMed]
- Lubitz, C.C.; Parangi, S.; Holm, T.M.; Bernasconi, M.J.; Schalck, A.P.; Suh, H.; Economopoulos, K.P.; Gunda, V.; Donovan, S.E.; Sadow, P.M.; et al. Detection of Circulating BRAF(V600E) in Patients with Papillary Thyroid Carcinoma. J. Mol. Diagn. 2016, 18, 100–108. [Google Scholar] [CrossRef] [Green Version]
- Han, J.Y.; Choi, J.J.; Kim, J.Y.; Han, Y.L.; Lee, G.K. PNA clamping-assisted fluorescence melting curve analysis for detecting EGFR and KRAS mutations in the circulating tumor DNA of patients with advanced non-small cell lung cancer. BMC Cancer 2016, 16, 627. [Google Scholar] [CrossRef] [Green Version]
- George, J.R.; Henderson, Y.C.; Williams, M.D.; Roberts, D.B.; Hei, H.; Lai, S.Y.; Clayman, G.L. Association of TERT Promoter Mutation, But Not BRAF Mutation, With Increased Mortality in PTC. J. Clin. Endocrinol. Metab. 2015, 100, E1550–E1559. [Google Scholar] [CrossRef] [Green Version]
- Laurent-Puig, P.; Pekin, D.; Normand, C.; Kotsopoulos, S.K.; Nizard, P.; Perez-Toralla, K.; Rowell, R.; Olson, J.; Srinivasan, P.; Le Corre, D.; et al. Clinical relevance of KRAS-mutated subclones detected with picodroplet digital PCR in advanced colorectal cancer treated with anti-EGFR therapy. Clin. Cancer Res. 2015, 21, 1087–1097. [Google Scholar] [CrossRef] [Green Version]
- Kulemann, B.; Rosch, S.; Seifert, S.; Timme, S.; Bronsert, P.; Seifert, G.; Martini, V.; Kuvendjiska, J.; Glatz, T.; Hussung, S.; et al. Pancreatic cancer: Circulating Tumor Cells and Primary Tumors show Heterogeneous KRAS Mutations. Sci. Rep. 2017, 7, 4510. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hay, I.D. Papillary thyroid carcinoma. Endocrinol. Metab. Clin. N. Am. 1990, 19, 545–576. [Google Scholar] [CrossRef]
- Leboulleux, S.; Rubino, C.; Baudin, E.; Caillou, B.; Hartl, D.M.; Bidart, J.M.; Travagli, J.P.; Schlumberger, M. Prognostic factors for persistent or recurrent disease of papillary thyroid carcinoma with neck lymph node metastases and/or tumor extension beyond the thyroid capsule at initial diagnosis. J. Clin. Endocrinol. Metab. 2005, 90, 5723–5729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yang, S.; Che, S.P.; Kurywchak, P.; Tavormina, J.L.; Gansmo, L.B.; Correa de Sampaio, P.; Tachezy, M.; Bockhorn, M.; Gebauer, F.; Haltom, A.R.; et al. Detection of mutant KRAS and TP53 DNA in circulating exosomes from healthy individuals and patients with pancreatic cancer. Cancer Biol. Ther. 2017, 18, 158–165. [Google Scholar] [CrossRef] [Green Version]
- Gormally, E.; Vineis, P.; Matullo, G.; Veglia, F.; Caboux, E.; Le Roux, E.; Peluso, M.; Garte, S.; Guarrera, S.; Munnia, A.; et al. TP53 and KRAS2 mutations in plasma DNA of healthy subjects and subsequent cancer occurrence: A prospective study. Cancer Res. 2006, 66, 6871–6876. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stanta, G.; Bonin, S. Overview on Clinical Relevance of Intra-Tumor Heterogeneity. Front. Med. 2018, 5, 85. [Google Scholar] [CrossRef] [Green Version]
- Tanzima Nuhat, S.; Sakata-Yanagimoto, M.; Komori, D.; Hattori, K.; Suehara, Y.; Fukumoto, K.; Fujisawa, M.; Kusakabe, M.; Matsue, K.; Wakamatsu, H.; et al. Droplet digital polymerase chain reaction assay and peptide nucleic acid-locked nucleic acid clamp method for RHOA mutation detection in angioimmunoblastic T-cell lymphoma. Cancer Sci. 2018, 109, 1682–1689. [Google Scholar] [CrossRef] [Green Version]
- Chan, K.C.; Yeung, S.W.; Lui, W.B.; Rainer, T.H.; Lo, Y.M. Effects of preanalytical factors on the molecular size of cell-free DNA in blood. Clin. Chem. 2005, 51, 781–784. [Google Scholar] [CrossRef]
- Nixon, A.M.; Provatopoulou, X.; Kalogera, E.; Zografos, G.N.; Gounaris, A. Circulating thyroid cancer biomarkers: Current limitations and future prospects. Clin. Endocrinol. 2017, 87, 117–126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1.
(a) Postoperative final diagnostic diagrams from preoperative diagnosis of fine-needle aspiration according to the Bethesda categories. Only Bethesda category III (indeterminate lesions) shows cell-free DNA of KRAS mutation in the preoperative plasma sample. (b) Representative images of peptide nucleic acid-mediated real-time PCR clamping analysis in the 127 plasma samples, indicating only one KRAS mutation at codon 146, and others indicating wild-type NRAS gene, wild-type BRAF gene, and wild-type TERT promoter gene.
Figure 1.
(a) Postoperative final diagnostic diagrams from preoperative diagnosis of fine-needle aspiration according to the Bethesda categories. Only Bethesda category III (indeterminate lesions) shows cell-free DNA of KRAS mutation in the preoperative plasma sample. (b) Representative images of peptide nucleic acid-mediated real-time PCR clamping analysis in the 127 plasma samples, indicating only one KRAS mutation at codon 146, and others indicating wild-type NRAS gene, wild-type BRAF gene, and wild-type TERT promoter gene.
Table 1.
Clinical characteristics of patients.
| Characteristics of All Subjects Enrolled in the Study | N = 127 (%) |
|---|---|
| Final pathology of neoplasms (n = 73) | |
| Thyroid cancers | 62 (48.8) |
| Papillary carcinoma | 60 |
| Follicular carcinoma | 2 |
| Nodular hyperplasia | 6 (4.7) |
| Graves’ disease | 2 (1.6) |
| Parathyroid neoplasm | 3 (3.6) |
| Parathyroid carcinoma | 1 |
| Parathyroid adenoma | 1 |
| Parathyroid hyperplasia | 1 |
| Healthy individual | 54 (65.9) |
| Characteristics of patients with thyroid cancers | n = 62 (%) |
| Gender (n = 62) | |
| Male | 18 (29.0) |
| Female | 44 (71.0) |
| Age (y), median (n = 62) | 56 (range, 21–85) |
| <55 | 38 (61.3) |
| ≥55 | 24 (38.7) |
| Tumor resection procedure (n = 62) | |
| Hemithyroidectomy | 23 (37.1) |
| Total thyroidectomy | 39 (62.9) |
| Neck dissection (n = 62) | |
| Central neck dissection | 52 (83.9) |
| Central neck dissection + MRND | 10 (16.1) |
| Tumor size, mean ± SD (cm) (n = 62) | 1.3 ± 1.6 (range, 0.3–10.5) |
| ≤1cm | 39 (62.9) |
| >1cm | 23 (37.1) |
| T category (n = 62) | |
| T1 | 53 (85.5) |
| T2 | 2 (3.2) |
| T3a | 2 (3.2) |
| T3b | 5 (8.1) |
| N category (n = 62) | |
| N0 | 35 (56.5) |
| N1 | 27 (43.5) |
| AJCC stage (n = 62) | |
| Stage I | 54 (87.1) |
| Stage II | 8 (12.9) |
| Resection margin status (n = 62) | |
| R0 | 60 (96.8) |
| R1 | 2 (3.2) |
| Multiplicity (n = 62) | |
| Yes (≥2) | 21 (33.9) |
| No | 41 (66.1) |
| Extrathyroid extension (n = 62) | |
| No | 35 (56.5) |
| Microscopic | 18 (29.0) |
| Gross | 9 (14.5) |
| Lymphovascular invasion (n = 62) | |
| Positive | 23 (37.1) |
| Negative | 39 (62.9) |
| Hashimoto’s thyroiditis (n = 62) | |
| Absent | 54 (87.1) |
| Present | 8 (12.9) |
Abbreviations: MRND, modified radical neck dissection; SD, standard deviation; AJCC, American Joint Committee on Cancer.
Table 2.
Mutation results of patients with thyroid cancers, benign thyroid or parathyroid lesions, and healthy individuals.
Table 2.
Mutation results of patients with thyroid cancers, benign thyroid or parathyroid lesions, and healthy individuals.
| BRAF (%) | NRAS (%) | TERTp (%) | KRAS (%) | |||||
|---|---|---|---|---|---|---|---|---|
| MT | WT | MT | WT | MT | WT | MT | WT | |
| Thyroid ca | ||||||||
| Primary (n = 62) | 41 (66.1) | 19 (30.6) | 0 (0) | 59 (95.2) | 3 (4.8) | 56 (90.2) | 0 (0) | 60 (96.8) |
| Meta LN (n = 27) | 17 (63.0) | 10 (37.0) | 3 (11.1) | 24 (88.9) | 1 (3.7) | 26 (96.3) | 1 (3.7) | 26 (96.3) |
| Plasma (n = 62) | 0 (0) | 30 (48.4) | 0 (0) | 46 (74.2) | 0 (0) | 56 (90.3) | 1 (1.6) | 50 (80.6) |
| NH (n = 6) | 0 (0) | 5 (83.3) | 0 (0) | 3 (50) | 0 (0) | 4 (66.7) | 0 (0) | 4 (66.7) |
| Graves’ ds (n = 2) | 0 (0) | 2 (100) | 0 (0) | 2 (100) | 0 (0) | 2 (100) | 0 (0) | 2 (100) |
| Parathyroid lesion (n = 3) | 0 (0) | 0 (0) | 0 (0) | 3 (100) | 0 (0) | 3 (100) | 0 (0) | 3 (100) |
| Healthy individuals (n = 54) | 0 (0) | 19 (35.2) | 0 (0) | 25 (46.3) | 0 (0) | 49 (90.7) | 1 (1.9) | 39 (72.2) |
Abbreviations: MT, mutated; WT, wild-type; ca, carcinoma; LN, lymph node; NH, nodular hyperplasia; ds, disease.
Table 3.
Clinical and pathological characteristics of BRAF mutation in papillary thyroid carcinoma.
| BRAF | p | |||
|---|---|---|---|---|
| Total | Mutated | Wild-Type | ||
| n = 58 | n = 41(70.7%) | n = 17(29.3%) | ||
| Sex | 0.519 | |||
| Male | 17 (29.3) | 11 (26.8) | 6 (35.3) | |
| Female | 41 (70.7) | 30 (73.2) | 11 (64.7) | |
| Age (y) | 0.743 | |||
| <55 | 36 (62.1) | 26 (63.4) | 10 (58.8) | |
| ≥55 | 22 (37.9) | 15 (36.6) | 7 (41.2) | |
| Tumor size | 0.129 | |||
| ≤1 cm | 38 (65.5) | 24 (58.5) | 14 (82.4) | |
| >1 cm | 20 (34.5) | 17 (41.5) | 3 (17.6) | |
| pT category | 0.583 | |||
| pT1-2 | 53 (91.4) | 38 (92.7) | 15 (88.2) | |
| pT3 | 5 (8.6) | 3 (7.3) | 2 (11.8) | |
| Nodal status | 0.397 | |||
| pN0 | 32 (55.2) | 21 (51.2) | 11 (64.7) | |
| pN1 | 26 (44.8) | 20 (48.8) | 6 (35.3) | |
| AJCC stage | 0.401 | |||
| I | 51 (87.9) | 37 (90.2) | 14 (82.4) | |
| II | 7 (12.1) | 4 (9.8) | 3 (17.6) | |
| Multiplicity | 0.791 | |||
| Yes (≥2) | 19 (32.8) | 13 (31.7) | 6 (35.3) | |
| No | 39 (67.2) | 28 (68.3) | 11 (64.7) | |
| Extrathyroid extension | 1.000 | |||
| Microscopic/absent | 51 (87.9) | 36 (87.8) | 15 (88.2) | |
| Gross | 7 (12.1) | 5 (12.2) | 2 (11.8) | |
| Lymphovascular invasion | 0.764 | |||
| Positive | 20 (34.5) | 15 (36.6) | 5 (29.4) | |
| Negative | 38 (65.5) | 26 (63.4) | 12 (70.6) | |
| Hashimoto’s thyroiditis | 1.000 | |||
| Absent | 51 (87.9) | 36 (87.8) | 15 (88.2) | |
| Present | 7 (12.1) | 5 (12.2) | 2 (11.8) | |
Abbreviations: AJCC, American Joint Committee on Cancer.
Table 4.
Comparisons of BRAF, KRAS, NRAS, and TERT promoter mutation results among the primary tumor tissue, metastatic nodal tissue, and plasma in 27 PTCs with metastatic lymph nodes.
Table 4.
Comparisons of BRAF, KRAS, NRAS, and TERT promoter mutation results among the primary tumor tissue, metastatic nodal tissue, and plasma in 27 PTCs with metastatic lymph nodes.
| Case No. | BRAF | KRAS | NRAS | TERTp | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tumor | Meta LN | Plasma | Tumor | Meta LN | Plasma | Tumor | Meta LN | Plasma | Tumor | Meta LN | Plasma | |
| Concordant | ||||||||||||
| #1 | V600 | V600 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #6 | V600 | V600 | failed | WT | WT | failed | WT | WT | failed | WT | WT | WT |
| #7 | V600 | V600 | failed | WT | WT | WT | WT | WT | failed | WT | WT | WT |
| #9 | V600 | V600 | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #11 | V600 | V600 | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #14 | V600 | V600 | WT | WT | WT | WT | WT | WT | failed | WT | WT | WT |
| #15 | V600 | V600 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #16 | V600 | V600 | WT | WT | WT | WT | WT | Codon13 | WT | WT | WT | WT |
| #17 | V600 | V600 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #20 | V600 | V600 | WT | WT | WT | failed | WT | Codon61 | WT | WT | WT | failed |
| #21 | V600 | V600 | WT | WT | WT | failed | WT | WT | WT | WT | WT | failed |
| #23 | V600 | V600 | WT | WT | WT | failed | WT | WT | failed | C228 | WT | WT |
| #24 | V600 | V600 | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #26 | V600 | V600 | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #27 | V600 | V600 | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #5 | WT | WT | failed | WT | WT | WT | failed | WT | failed | failed | WT | WT |
| #12 | WT | WT | failed | WT | WT | WT | WT | WT | failed | WT | WT | WT |
| #18 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #25 | WT | WT | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| Discordant | ||||||||||||
| #2 | V600 | WT | failed | WT | WT | failed | WT | WT | failed | WT | WT | WT |
| #10 | V600 | WT | failed | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #13 | V600 | WT | failed | WT | WT | WT | WT | Codon61 | failed | WT | WT | WT |
| #19 | V600 | WT | WT | WT | WT | failed | WT | WT | WT | WT | WT | failed |
| #22 | V600 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #3 | WT | V600 | failed | WT | WT | WT | WT | WT | WT | WT | C250 | WT |
| #4 | WT | V600 | WT | WT | WT | WT | WT | WT | WT | WT | WT | WT |
| #8 | failed | WT | failed | failed | WT | WT | WT | WT | failed | failed | WT | WT |
Abbreviations: LN, lymph node; WT, wild-type; MT, mutated.
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Suh, Y.J.; Kwon, M.J.; Noh, H.-M.; Lee, H.K.; Ra, Y.J.; Kim, N.Y. Limited Clinical and Diagnostic Utility of Circulating Tumor DNA Detection in Patients with Early-Stage Well-Differentiated Thyroid Cancer: Comparison with Benign Thyroid Nodules and Healthy Individuals. Healthcare 2021, 9, 386. https://doi.org/10.3390/healthcare9040386
AMA Style
Suh YJ, Kwon MJ, Noh H-M, Lee HK, Ra YJ, Kim NY. Limited Clinical and Diagnostic Utility of Circulating Tumor DNA Detection in Patients with Early-Stage Well-Differentiated Thyroid Cancer: Comparison with Benign Thyroid Nodules and Healthy Individuals. Healthcare. 2021; 9(4):386. https://doi.org/10.3390/healthcare9040386
Chicago/Turabian StyleSuh, Yong Joon, Mi Jung Kwon, Hye-Mi Noh, Hong Kyu Lee, Yong Joon Ra, and Nan Young Kim. 2021. "Limited Clinical and Diagnostic Utility of Circulating Tumor DNA Detection in Patients with Early-Stage Well-Differentiated Thyroid Cancer: Comparison with Benign Thyroid Nodules and Healthy Individuals" Healthcare 9, no. 4: 386. https://doi.org/10.3390/healthcare9040386
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