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Ren X, Zhang J, Song Z, Li Q, Zhang D, Li X, Yu J, Li Z, Wen Y, Zeng D, Zhang X, Tang Z. Detection of malignant lesions in cytologically indeterminate thyroid nodules using a dual-layer spectral detector CT-clinical nomogram. Front Oncol 2024; 14:1357419. [PMID: 38863637 PMCID: PMC11165073 DOI: 10.3389/fonc.2024.1357419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/02/2024] [Indexed: 06/13/2024] Open
Abstract
Purpose To evaluate the capability of dual-layer detector spectral CT (DLCT) quantitative parameters in conjunction with clinical variables to detect malignant lesions in cytologically indeterminate thyroid nodules (TNs). Materials and methods Data from 107 patients with cytologically indeterminate TNs who underwent DLCT scans were retrospectively reviewed and randomly divided into training and validation sets (7:3 ratio). DLCT quantitative parameters (iodine concentration (IC), NICP (IC nodule/IC thyroid parenchyma), NICA (IC nodule/IC ipsilateral carotid artery), attenuation on the slope of spectral HU curve and effective atomic number), along with clinical variables, were compared between benign and malignant cohorts through univariate analysis. Multivariable logistic regression analysis was employed to identify independent predictors which were used to construct the clinical model, DLCT model, and combined model. A nomogram was formulated based on optimal performing model, and its performance was assessed using receiver operating characteristic curve, calibration curve, and decision curve analysis. The nomogram was subsequently tested in the validation set. Results Independent predictors associated with malignant TNs with indeterminate cytology included NICP in the arterial phase, Hashimoto's Thyroiditis (HT), and BRAF V600E (all p < 0.05). The DLCT-clinical nomogram, incorporating the aforementioned variables, exhibited superior performance than the clinical model or DLCT model in both training set (AUC: 0.875 vs 0.792 vs 0.824) and validation set (AUC: 0.874 vs 0.792 vs 0.779). The DLCT-clinical nomogram demonstrated satisfactory calibration and clinical utility in both training set and validation set. Conclusion The DLCT-clinical nomogram emerges as an effective tool to detect malignant lesions in cytologically indeterminate TNs.
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Affiliation(s)
- Xiaofang Ren
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Jiayan Zhang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Zuhua Song
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Qian Li
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Dan Zhang
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Xiaojiao Li
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Jiayi Yu
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Zongwen Li
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Youjia Wen
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Dan Zeng
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Xiaodi Zhang
- Department of Clinical and Technical Support, Philips Healthcare, Chengdu, China
| | - Zhuoyue Tang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Radiology, Chongqing General Hospital, Chongqing, China
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Tal Tamir H, Stav D, Hadad Y, Kessner R. Thyroid nodule characterization using Spectral Detector Computed Tomography (SDCT) in comparison to ultrasound. Eur J Radiol 2024; 170:111213. [PMID: 38006615 DOI: 10.1016/j.ejrad.2023.111213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
OBJECTIVE To characterize thyroid nodules seen on Spectral Detector computed tomography (SDCT) in respect to their Thyroid Imaging Reporting and Data System (TI-RADS) category on Ultrasound (US). METHODS We included patients that underwent US examination for the evaluation of thyroid nodules and contrast-enhanced SDCT examination of the neck/thorax, between the years 2018-2020. The SDCT and US were performed within 6 months of each other. Only patients with a visible thyroid nodule on SDCT were included. Attenuation measurements of the nodules in Hounsfield units (HU) were performed on the conventional CT images, virtual non-contrast (VNC) images and virtual monoenergetic images of 40 keV and 100 keV. The Iodine concentration, spectral slope and enhancement estimation results of the nodules were measured. We compared the spectral results between two groups of nodules, according to the US report: TI-RADS 2-3 and TI-RADS 4-5 groups. RESULTS Thirty-eight nodules were included in the study, 22 nodules in the TI-RADS 2-3 group and 16 in the TI-RADS 4-5 group. The nodules of the TI-RADS 4-5 group had significantly higher Iodine concentration measurement, 4.6 ± 1.8 mg/ml, compared to 2.3 ± 1.2 mg/ml in the TI-RADS 2-3 group; significantly higher estimated enhancement, 3.9 ± 1.5, compared to 2.2 ± 0.7; and significantly higher calculated spectral slope, 5.6 ± 2.2 compared to 2.9 ± 1.5 (p < 0.001). CONCLUSION Spectral results of SDCT may assist in differentiating intermediate-high risk (TI-RADS 4-5) from low risk (TI-RADS 2-3) thyroid nodules. ADVANCES IN KNOWLEDGE SDCT offers additional information for the characterization of thyroid nodules.
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Affiliation(s)
- Hila Tal Tamir
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Dana Stav
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Yitzhac Hadad
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Rivka Kessner
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel.
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Li F, Huang F, Liu C, Pan D, Tang X, Wen Y, Chen Z, Qin Y, Chen J. Parameters of dual-energy CT for the differential diagnosis of thyroid nodules and the indirect prediction of lymph node metastasis in thyroid carcinoma: a retrospective diagnostic study. Gland Surg 2022; 11:913-926. [PMID: 35694089 PMCID: PMC9177276 DOI: 10.21037/gs-22-262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/18/2022] [Indexed: 08/29/2023]
Abstract
BACKGROUND To further investigate the differential diagnosis of thyroid nodules using dual-energy computed tomography (DECT) and explore the relationship between DECT parameters and lymph node metastasis in thyroid carcinoma for clinical practice, especially difficult diagnosis by routine imaging examination. METHODS A total of 150 patients with thyroid nodules who underwent preoperative DECT and Thyroid Imaging Report and Data System (TIRADS) classification were enrolled in this study, including 96 patients with malignant tumors and 54 with benign tumors. The DECT parameters were got form regions of interest (ROI) by an experienced radiologist team and thyroid nodules and lymph node status of all patients were identified by cytology and histopathology. Statistical analyses were performed using Student's t-test, Chi-squared test, and receiver operating characteristic (ROC) curves. RESULTS In the differential diagnosis of benign and malignant thyroid nodules, the optimal iodine concentration (IC) and normalized iodine concentration (NIC) cut-off values were ICa (2.835 mg/mL), NIC1a (0.690), and their corresponding area under the curve (AUC) were 0.940, 0.954 respectively; meantime, the optimal computed tomography (CT) value and slope of the spectral Hounsfield unit curve (λHU) cut-off values were 70 keVa (125.05 HU) and λHU2a (1.405), and their corresponding AUC were 0.955, 0.941 respectively. For lymph node status (with or without lymph node metastasis), the optimal IC and NIC thresholds were ICa (1.715 mg/mL) and NIC2a (0.155), and their corresponding AUC were 0.717, 0.720 respectively; meanwhile, the optimal CT value and λHU thresholds were 70 keVv (89.635 HU) and λHU2v (1.185), and their corresponding AUC were 0.729, 0.641 respectively. CONCLUSIONS Base on our study, we think DECT is useful in differentiating malignant from benign thyroid nodules, which has potential value in the indirect prediction of lymph node metastasis in thyroid carcinoma.
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Affiliation(s)
- Fu Li
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Fuling Huang
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chenmin Liu
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Denghua Pan
- Department of Ultrasonography, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaoqi Tang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yan Wen
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhibai Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuhong Qin
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Junqiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
- The Guangxi Key Laboratory of Enhanced Recovery after Surgery for Gastrointestinal Cancer, Nanning, China
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Jiang L, Liu D, Long L, Chen J, Lan X, Zhang J. Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules. Quant Imaging Med Surg 2022; 12:967-978. [PMID: 35111598 DOI: 10.21037/qims-21-501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 08/12/2021] [Indexed: 01/05/2023]
Abstract
Background This study aimed to investigate the ability of quantitative parameter-derived dual-source dual-energy computed tomography (DS-DECT) combined with machine learning to distinguish between benign and malignant thyroid nodules. Methods Patients with thyroid nodules and pathological surgical results who underwent preoperative DS-DECT were selected. Quantitative parameter-derived DS-DECT was applied to classify benign and malignant nodules. Then, machine learning and binary logistic regression analysis models were constructed using the DS-DECT quantitative parameters to distinguish between benign and malignant nodules. The receiver operating characteristic curve was used to assess the diagnostic performance. The DeLong test was used to compare the diagnostic efficacy. Results One hundred and thirty patients with 139 confirmed thyroid nodules were involved in the study. The malignant group had a significantly higher iodine concentrationnodule (arterial phase) (P=0.001), normalized iodine concentration (arterial phase) (P=0.002), iodine concentration difference (P<0.001), spectral curve slope (nonenhancement) (P=0.007), spectral curve slope (arterial phase) (P=0.001), effective atomic number (nonenhancement) (P<0.001), and effective atomic number (arterial phase) (P=0.039) than the benign group. The binary logistic regression analysis model had an AUC (area under the curve) of 0.76, a sensitivity of 0.821, and a specificity of 0.667. The machine learning model had an AUC of 0.86, a sensitivity of 0.822, specificity of 0.791 in the training cohort, an AUC of 0.84, a sensitivity of 0.727, and specificity of 0.750 in the testing cohort. Conclusions Multiple quantitative parameters of DS-DECT combined with machine learning could differentiate between benign and malignant thyroid nodules.
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Affiliation(s)
- Liling Jiang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Daihong Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Ling Long
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Jiao Chen
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
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Gao SY, Zhang XY, Wei W, Li XT, Li YL, Xu M, Sun YS, Zhang XP. Identification of benign and malignant thyroid nodules by in vivo iodine concentration measurement using single-source dual energy CT: A retrospective diagnostic accuracy study. Medicine (Baltimore) 2016; 95:e4816. [PMID: 27684811 PMCID: PMC5265904 DOI: 10.1097/md.0000000000004816] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
This study proposed to determine whether in vivo iodine concentration measurement by single-source dual energy (SSDE) CT can improve differentiation between benign and malignant thyroid nodules. In total, 53 patients presenting with thyroid nodules underwent SSDE CT scanning. Iodine concentrations were measured for each nodule and normal thyroid tissue using the GSI-viewer image analysis software. A total of 26 thyroid nodules were malignant in 26 patients and confirmed by surgery; 33 nodules from 27 patients were benign, with 10 confirmed by surgery and others after follow-up. Iodine concentrations with plain CT were significantly lower in malignant than benign nodules (0.47 ± 0.20 vs 1.17 ± 0.38 mg/mL, P = 0.00). Receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.93; with a cutoff of 0.67, iodine concentration showed 92.3% sensitivity and 88.5% specificity in diagnosing malignancy. Iodine concentration obtained by enhanced and plain CT were significantly higher in malignant than benign nodules (9.05 ± 3.35 vs 3.46 ± 2.24 mg/mL, P = 0.00). ROC curve analysis showed an AUC of 0.93; with a cutoff value of 3.37, iodine concentration displayed 78% sensitivity, 95% specificity in diagnosing malignancy. Combining unenhanced with enhanced iodine concentrations, the diagnostic equation was: Y = -8.641 × unenhanced iodine concentration + 0.663 × iodine concentration. ROC curve showed an AUC of 0.98 (95% CI, 0.94, 1.00). With Y ≥ -2 considered malignancy, diagnostic sensitivity and specificity were 96%, 96.3%, respectively. This study concluded that SSDE CT can detect the differences in iodine uptake and blood supply between benign and malignant thyroid lesions.
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Affiliation(s)
- Shun-Yu Gao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
| | - Xiao-Yan Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
| | - Wei Wei
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Head and Neck Surgery, Peking University Cancer Hospital & Institute
| | - Xiao-Ting Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
| | - Yan-Ling Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
| | - Min Xu
- KLMI, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Ying-Shi Sun
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
- Correspondence: Ying-Shi Sun, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China (e-mail: )
| | - Xiao-Peng Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology
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Wang CY, Xiao BR, Shen MJ, Shen Y, Cui KW. 99mTcO 4- scintigraphic detection of follicular thyroid cancer and multiple metastatic lesions: A case report. Oncol Lett 2013; 6:1729-1732. [PMID: 24273606 PMCID: PMC3835315 DOI: 10.3892/ol.2013.1639] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 10/16/2013] [Indexed: 11/21/2022] Open
Abstract
99mTcO4− thyroid imaging is often used to detect thyroid diseases that are confined to the neck. However, this examination is not frequently used to detect metastatic lesions of thyroid cancer in the whole body, while 131I imaging is often used to detect the metastases of differentiated thyroid cancers. The present study performed 99mTcO4− thyroid imaging for a 69-year-old patient with a thyroid nodule and incidentally identified a lesion with abnormally increased 99mTcO4− uptake in the chest of the patient. Furthermore, a whole-body scan was performed for this patient and multiple lesions with increased 99mTcO4− uptake were identified. The results confirmed that these lesions were follicular thyroid cancer and the metastatic lesions were distributed in numerous locations. The results revealed that analysis of the whole body is significant when regional lesions with abnormally increased 99mTcO4− uptake outside of thyroid tissues are identified by routine 99mTcO4− thyroid imaging.
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Affiliation(s)
- Chang-Yin Wang
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
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Boelaert K, Smith VE, Stratford AL, Kogai T, Tannahill LA, Watkinson JC, Eggo MC, Franklyn JA, McCabe CJ. PTTG and PBF repress the human sodium iodide symporter. Oncogene 2007; 26:4344-56. [PMID: 17297475 DOI: 10.1038/sj.onc.1210221] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The ability of the thyroid to accumulate iodide provides the basis for radioiodine ablation of differentiated thyroid cancers and their metastases. Most thyroid tumours exhibit reduced iodide uptake, although the mechanisms accounting for this remain poorly understood. Pituitary tumour transforming gene (PTTG) is a proto-oncogene implicated in the pathogenesis of thyroid tumours. We now show that PTTG and its binding factor PBF repress expression of sodium iodide symporter (NIS) messenger RNA (mRNA), and inhibit iodide uptake. This process is mediated at least in part through fibroblast growth factor-2. In detailed studies of the NIS promoter in rat FRTL-5 cells, PTTG and PBF demonstrated specific inhibition of promoter activity via the human upstream enhancer element (hNUE). Within this approximately 1 kb element, a complex PAX8-upstream stimulating factor 1 (USF1) response element proved critical both to basal promoter activity and to PTTG and PBF repression of NIS. In particular, repression by PTTG was contingent upon the USF1, but not the PAX8, site. Finally, in human primary thyroid cells, PTTG and PBF similarly repressed the NIS promoter via hNUE. Taken together, our data suggest that the reported overexpression of PTTG and PBF in differentiated thyroid cancer has profound implications for activity of the NIS gene, and hence significantly impacts upon the efficacy of radioiodine treatment.
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Affiliation(s)
- K Boelaert
- Department of Medicine, Division of Medical Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, UK
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Ward LS, Santarosa PL, Granja F, da Assumpção LVM, Savoldi M, Goldman GH. Low expression of sodium iodide symporter identifies aggressive thyroid tumors. Cancer Lett 2003; 200:85-91. [PMID: 14550956 DOI: 10.1016/s0304-3835(03)00392-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
A decreased radioiodine uptake is frequently detected in differentiated thyroid carcinomas (DTC) and is associated with high recurrence rate and reduced survival. We investigated the correlation between NIS mRNA expression levels in the primary tumor and patient outcome using a quantitative real-time RT-PCR method. NIS expression was decreased in 17 DTC (21.04+/-39.66 pg Eq) compared to four autoimmune thyroid disease (180.51+/-92.63 pg Eq) and 14 normal tissues (75.71+/-66.98 pg Eq) (p<0.0001). The 17 thyroid differentiated carcinoma patients were submitted to surgery complemented by radioiodine ablation and had at least 24 months of follow-up, under levothyroxine continued suppressive therapy. According to their outcome, we could characterize a group of papillary carcinoma patients with aggressive carcinomas, whose NIS mRNA levels were markedly lower than a group with non-aggressive carcinomas (0.62+/-0.79 versus 54.87+/-53.79; p<0.005). We suggest that the quantification of NIS mRNA relative levels in the primary tumor may predict poor outcome.
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Affiliation(s)
- Laura S Ward
- Laboratory of Cancer Molecular Genetics, FCM, Department of Medicine, School of Medicine, State University of Campinas, Rua Olympio Pattaro 45, São Paulo 13085-857, Campinas, Brazil.
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Zarnegar R, Brunaud L, Kanauchi H, Wong M, Fung M, Ginzinger D, Duh QY, Clark OH. Increasing the effectiveness of radioactive iodine therapy in the treatment of thyroid cancer using Trichostatin A, a histone deacetylase inhibitor. Surgery 2002; 132:984-90; discussion 990. [PMID: 12490845 DOI: 10.1067/msy.2002.128690] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND Radioactive iodine is used to identify and treat recurrent and metastatic thyroid cancer of follicular cell origin. Between 30% and 40% of thyroid cancers are either resistant or become resistant to radioactive iodine. Increased sodium-iodide symporter (NIS) and decreased Pendrin (PDS) activity may be associated with increased radioactive iodine effectiveness. In this investigation the effects of Trichostatin A (TSA), a histone deacetylating inhibitor, on human thyroid NIS and PDS gene expression was investigated. METHOD Cell lines from papillary, Hürthle, and follicular cell carcinomas were treated with TSA for 72 hours at concentrations up to 100 ng/mL. NIS and PDS gene expression was determined using quantitative RT-polymerase chain reaction. RESULTS . NIS messenger RNA expression in cell carcinomas was increased 107- (1.8-307) and 217- (5.7-408) fold in papillary, 39- (20-63) and 58- (37-80) fold in Hürthle, and 459- (178-810) and 781- (412-1229) fold in follicular after treatment with 50 and 100 ng/mL of TSA, respectively. PDS messenger RNA expression in cell carcinomas was decreased 0.22- (0.05-0.45) and 0.27- (0.09-0.47) fold in papillary, 0.53- (0.46-0.60) and 0.54- (0.44-0.64) fold in Hürthle, and 0.32- (0.26-0.39) and 0.56- (0.47-0.64) fold in follicular, after the same treatment. CONCLUSIONS In thyroid cancer cell lines, TSA dramatically increased NIS gene expression and reduced PDS expression. The increased NIS expression and reduced PDS expression may make radioiodine therapy more effective in patients with thyroid cancer, especially when the tumors have no or low uptake of radioiodine.
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Affiliation(s)
- Rasa Zarnegar
- Department of Surgery, Division of General Surgery, and Cancer Center, University of California San Francisco/Mount Zion Medical Center, 1600 Divisadero Street, Room 437, San Francisco, CA 94143-1674, USA
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Dwarakanathan AA. Hope or hype? Endocr Pract 2001; 7:221-2. [PMID: 11421569 DOI: 10.4158/ep.7.3.221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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