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International Journal of Clinical and Experimental Medicine logoLink to International Journal of Clinical and Experimental Medicine
. 2015 Oct 15;8(10):17986–17994.

Association between sodium iodide symporter and differentiated Thyroid cancer: a meta-analysis of 9 studies

Rui Zhang 1, Huanjun Wang 1, Junyu Zhao 1, Jinming Yao 1, Hongxia Shang 1, Huangao Zhu 2, Lin Liao 1,*, Jianjun Dong 2,*
PMCID: PMC4694293  PMID: 26770393

Abstract

Context: As many studies proved that sodium iodide symporter (NIS) plays a key role in radioactive iodide (RAI) therapy of thyroid cancer, however, a growing number of studies suggests that part of differentiated thyroid carcinomas (DTC) with overexpression of NIS are insensitive to RAI well. Objective: The aim of this meta-analysis is to assess the expression of NIS in differentiated thyroid cancer, compared with normal thyroid tissue. Data Sources: PUBMED, Sinomed, CNKI, Wanfang and VIP were searched for relevant case-control studies up to now. Study Selection: Studies that concerning the qualitative expression NIS in DTC were included. Data Extraction: Working independently, authors used a standard form to extract data. For quality assessment, Newcastle-Ottawa Scale (NOS) were applied. Data Synthesis: Totally nine eligible studies included, involving 765 cases and 473 controls. The results revealed that the expression of NIS had a statistically increased in DTC, compared with controls (OddsRadio OR: 1.47, 95% CI: 1.12 to 1.94, Z=2.78, P=0.005). Since the existence of the significant heterogeneity, subgroup analysis and sensitivity analysis were performed and found that the heterogeneity came from the different criteria evaluate positive NIS expression (Liu 2008, Mu 2010) and the small simple size of the control group (Lin. J D2001). The heterogeneity disappeared or dropped to below 50% after remove these studies. Conclusion: Our study shows that the expression of NIS is significantly increased in DTC, which could help explain the reason for individual with a poor response to RAI therapy. In other word, the reduced iodide uptake in thyroid cancer may not caused by the decreased expression of NIS, function of NIS protein or its post-transcriptional translocation might be the point.

Keywords: Differentiated thyroid cancer, sodium iodide symporter, meta-analysis

Introduction

Thyroid cancer is a common endocrine malignancy that has rapidly increased in global incidence in recent decades. Relevant research showed that among all malignancies, thyroid cancer is now the fifth most frequent cancer for women in the USA. It is estimated that there were 60,220 new cases (14,910 men and 45,310 women) of thyroid cancer in 2013 and that a half million people are currently living with thyroid cancer in the USA [1]. Histopathologically, thyroid cancers can be classified into papillary, follicular, medullary, and anaplastic cancers [2]. Among them, papillary (PTC) and follicular carcinomas (FTC) are collectively known as differentiated thyroid cancer (DTC), which is derived from thyroid follicular epithelial cells and account for 97 percent of thyroid cancer. DTC is characterized by slow growth and a good prognosis, and improvements in diagnosis and treatment, due to the use of radioiodine, have reduced DTC-associated mortality [3]. Compared with medullary and anaplastic thyroid cancer, the prognosis of DTC is better.

Sodium-iodide symporter (NIS) is an integral protein of the basolateral membrane of thyroid gland follicular cells, which transports two Na+ for each I- into thyroid follicular cells [4]. So it is used to treat thyroid tumors by transport of radioiodine into cancer cells.

It is well known that the treatment of thyroid cancer including thyroidectomy, thyroid hormone inhibiting therapy and radioactive iodine (RAI) therapy. Of which, RAI could removes all remnant or residual normal thyroid tissues, is an important element of therapy following initial surgery in patients with papillary and follicular thyroid carcinomas [2]. The RAI treatment of thyroid cancer is based on the ability of thyroid follicular cells to concentrate iodine, which is dependent on the functional NIS [5]. Previous studies discovered that iodide uptake was depressed in DTC. But the expression of NIS was disputable in DTC. Quite numbers of studies have demonstrated that the low expression of NIS protein in DTC, which may be responsible for the decreased iodide accumulation in thyroid carcinomas [6-8]. However, many others discovered a normal or even overexpression in DTC [5,9-11].

The aim of the present meta-analysis was to assess the expression of NIS in DTC, in order to point a direction for improving the efficacy in those refractory to iodine radiation therapy.

Materials and methods

Literature search

A comprehensive literature search was performed using the PubMed, Sinomed CNKI, VIP and Wanfang database for relevant articles published up to now with the following search terms: (thyroid neoplasm OR thyroid cancer OR thyroid carcinoma OR thyroid cancer, papillary OR thyroid cancer, medullary OR thyroid cancer, follicular OR thyroid cancer, anaplastic) AND (sodium iodide symporter OR NIS OR thyroid iodide symporter OR SLC5A5). Additional studies were identified by hand searching references in original articles and review articles.

Study selection

We included any study that met all of the following criteria: 1) published in English or Chinese language; 2) the study design was a case-control study; 3) investigated the association between qualitative expression of sodium iodide symporter and thyroid cancer; 4) the diagnosis of thyroid cancer was confirmed either histological, pathologically or cytological; the positive expression of NIS is detected by immunohistochemistry technology; 5) the odds ratios (OR) and the corresponding 95% confidence intervals (CIs), or the number of positive events that can calculate them were reported. Studies not designed as case control studies (randomized control studies, systematic review, case report and so on), no or incomplete data provided, animal tests were excluded from this meta-analysis. The eligibility of included studies was evaluated by two investigators independently based on the predetermined selection criteria.

Data extraction

Two reviewers independently extracted the following data for each eligible study: first author’s last name, study period, year of publication, characteristics of observed subjects (including age, sex radio), site of origin, histological type of the tumor, source of cases and controls, number of cases and controls, the number of samples that show positive expression of NIS and the total quantity. Any disagreements were resolved by consensus.

Study quality assessment

The quality of the studies was also independently assessed by the same two reviewers according to Newcastle-Ottawa Scale (NOS) [12], a validated quality assessment instrument for nonrandomized trials, which consists of three parameters of quality: selection, comparability, and exposure assessment. The NOS assigns a maximum score of 4 for selection, 2 for comparability, and 3 for exposure. Studies with a NOS score of five or greater were regarded as moderate to high quality studies, the best score is 9, whereas those with a NOS score of less than five score were considered low quality studies.

Statistical analyses and publication bias

Statistical analyses were performed using Review Manager 5.2 (Cochrane Collaboration, United Kingdom). A P-value <0.05 was considered statistical significance for odds risk (OR). The combined OR and 95% confidence interval (CI) were used for analysis. Meanwhile, forest plots were generated to determine whether there was a statistical association between cases and controls and to assess heterogeneity of the included studies. Heterogeneity was quantified evaluated using the I2 statistic, this statistic yields results ranged from 0 to 100% (I2=0-25%, no heterogeneity; I2=25-50%, moderate heterogeneity; I2=50-75%, large heterogeneity; and I2=75-100%, extreme heterogeneity) [13]. If heterogeneity existed, the random effects model was used, otherwise, the fixed effects model was used. If significant heterogeneity is identified, subgroup analysis and sensitivity analysis were also performed according to the following characteristic: research areas; histological type of the tumor, source of controls, and continent in which the study was conducted (America and Asia). Visual inspection of asymmetry in funnel plot was performed. Egger’s regression method was also used for statistical assessment of publication bias (P<0.05 was considered representative of statistically significant publication bias) [14].

Results

Identification of eligible studies

The initial database search identified 1240 papers. Of these, 37 papers describing the expression of NIS in thyroid cancer were identified for further evaluation after scanning the titles and abstracts. Finally, nine studies [15-23] were included based on the inclusive criteria after full-text review (Searching progress was summarized in Figure 1).

Figure 1.

Figure 1

Summary of the Studies Selection Process Characteristics of included studies.

The main characteristics and results of the nine papers were summarized in Table 1. Among the nine studies, eight were conducted in China, one in Brazil. The sample size ranged from 17 to 265 in thyroid cancer group while 3 to 135 in control group. All of the cases were histological, pathologically or cytological confirmed as differentiated thyroid cancer, of them, one study did not distinguish the type of DTC, the other eight studies clearly indicated the type (PTC or FTC). Of all nine studies, the NOS assigns a maximum score of 4 for selection, 2 for comparability, and 3 for exposure. Studies with a NOS score of five or greater were regarded as moderate to high quality studies, the best score is nine, whereas those with a NOS score of less than five score were considered low quality studies. The NOS score for each study was also listed in Table 1.

Table 1.

Characteristics, Statistical Data and NOS Score of Included Studies

Author (Year) Study period Area Age range Gender NO. of case (PTC/FTC) NO.of control (NTT) NIS (+) NOS score
Lin, J.D ~2001 TaiWan 21-76y Case M: 1, F: 16 17 3 (Ca) Case: 4 5
Liu Chun-Ping 2003-2007 WuHan 21-72y Case M: 13, F: 53 45 45 (NG, FA) Case: 39 5
(2008) Control: not mentioned Control: 45
Mu za pa er 2005-2009 XinJiang 9-76y Case=control 72 72 (Ca) Case: 22 5
(2010) M: 16, F: 56 Control: 58
Hu Yang-Ying 2006-2009 NanJing 13-71y Case M: 14, F: 35 49 49 (Ca) Case: 33 6
(2010) Control: not mentioned Control: 28
Morari, E.C ~2011 SaoPaulo Not mentioned Not mentioned 265 18 (NG, FA) Case: 32 6
(2011) Control: 1
Wang Zhi-Feng 2009-2010 GanSu 14-78y Case M: 14, F: 35 56 52 (NG, FA) Case: 51 6
(2012) Not mentioned Control: 29

M: male; F: female; PTC: papillary thyroid cancer; FTC: follicular thyroid cancer; DTC: differentiated thyroid cancer; NTT: normal thyroid tissue; NG: nodular goiter; FA: follicular adenoma; NTT (Ca/NG, FA):normal thyroid tissue from paracarcinoma or nodular goiter, follicular adenoma.

NIS expression in differentiated thyroid cancer

Figure 2 showed the estimated pooled OR associated with expression of NIS in DTC. Significant heterogeneity was detected (I2=90%, P=0.005). The OR and 95%CI of each study can be seen in Figure 2. The pooled OR from all nine studies was 1.47 (95% CI: 1.12-1.94, P=0.005). Because of the significant heterogeneity, subgroup analysis and sensitivity analysis were conducted according to areas, source of case group, and source of control group and continents of the studies. The analysis showed that the heterogeneity came from the different criteria of evaluating positive NIS expression (Liu chun-ping 2008, Mu za pa er 2010) and the small simple size of the control group (Lin. J D2001). The heterogeneity disappeared or dropped to below 50% after remove these studies (Figure 3). The fixed-effect model was used to merge OR values. The pooled OR was 6.67 (95% CI: 3.47-12.80, I2=0%, Z=5.7, P<0.00001) for the control group which was composed of normal thyroid tissues from lobes of nodular goiter or follicular adenoma and not affected by cancer; The OR value of control group that normal thyroid tissue from paracarcinoma was 2.34 (95% CI: 1.54-3.58, I2=31%, Z=3.94, P<0.0001). Pooled data from all six studies showed that the NIS expression of DTC is larger than that of normal thyroid tissue. Funnel plot and Egger’s regression method (P=0.86, P>0.05 was considered representative of no statistically significant publication bias) showed that there was no significant publication bias exist (Figure 4).

Figure 2.

Figure 2

Forest Plot of Odds Radios and 95% CI of NIS expression in thyroid cancer compared with normal thyroid tissue.

Figure 3.

Figure 3

The expression of NIS in thyroid cancer compared with normal thyroid tissue: sensitivity analysis of OR.

Figure 4.

Figure 4

Egger’s test for NIS Expression in thyroid cancers compared with normal thyroid tissues.

Discussion

Dependent on the Na+ gradient maintained by Na+/K+ ATPase [24], NIS mediates the active transport of iodide in the thyroid gland and a number of non-thyroidal tissues, including mammary gland during lactation, stomach, salivary and lacrimal glands [25]. Particularly, the thyroid gland was found to be capable of concentrating iodide by a factor of 20-40 with respect to its plasma level [26].

NIS and NIS-mediated iodide accumulation in the thyroid gland represent crucial prerequisites for diagnostic thyroid scintigraphy, as well as therapeutic application for radioiodine in benign and malignant thyroid diseases [25]. Compared with anaplastic thyroid cancer, well differentiated thyroid cancer is common and most of them are sensitive to radioactive iodide therapy. However, studies shows that over 20%-30% of differentiated thyroid carcinomas insensitive to 131I treatment, resulting in the high recurrence rate and poor prognosis of these patients [11,27,28]. As mentioned above, the reasons for the decreased uptake of 131I in DTC is controversial. Some studies found that the expression of NIS is reduced or loss [29], while others found it sufficient or even overexpression [9,11,30,31].

Our study based on nine case-control studies shows that the protein expression of NIS protein in differentiated cancers is higher in DTC than that in normal thyroid tissues (P=0.005, I2=90%). Subgroup analysis and sensitivity analysis were conducted according to areas, source of case group, sources of control group and continents of the studies. The analysis showed that the heterogeneity came from the different criteria evaluating positive NIS expression (Liu chun-ping 2008, Mu za pa er 2010) and the small simple size of the control group (Lin. J D2001). The significant heterogeneity was missing or dropping to below 50% after remove these studies (Figure 3). Given the result of this analysis is consist with several previous studies [9,11,15,16,19-21,30-32], we may predict that the reduced uptake of 131I in a majority of differentiated thyroid cancers is mainly due to the defective localization of NIS protein.

Recently, a study shows that NIS protein levels in cancerous tissue was higher than that in normal thyroid tissue, while NIS mRNA levels in cancerous tissue was lower than in normal thyroid tissue. This suggested that abnormal expression of NIS at translational level is one of the main reasons for its high expression in tumor cells [15]. The localization of NIS to the basolateral membrane has been closely related to its functional role and associated with iodide-accumulating ability of follicular cells [36]. Previous studies that used immumnohistochemical staining indicated that most of NIS protein was expressed in the cytoplasm of neoplastic cells, not in its right place, the cytoplasmic membrane [9,29,34-38]. Posttranslational regulatory mechanisms, especially translation of NIS, have been considered as an important factor determining the function of NIS, and of interest as a target to augment iodide uptake in NIS-expressing cancer cells [39].

The translocation of NIS in thyroid cells is a complex process and regulated by multi-factors: thyroid-stimulating hormone (TSH) [40], TSH receptor (TSHR), PTTG1-binding factor (PBF) [41] and PI3K [42,43] have been investigated in the past few years. All of them are known to play an important role in the progress of NIS translocation to the cell membrane. Among of them, TSH and TSHR are two crucial factors in stimulating the NIS translocation to the cell surface membrane. TSH regulates every step of thyroid iodine metabolism through the cAMP cascade. Iodine uptake has been demonstrated to be under the control of TSH, as stimulation by TSH increases radioiodine uptake in vivo and in vitro as well as human NIS (hNIS) expression in cultured thyroid cell [41,44]. In the presence of TSH, NIS in FRTL-5 cells is mainly distributed to the cell surface membrane, while when TSH is excluded, NIS is mainly localized in the intracellular compartments [45]. Research also shows that TSHR plays a role in NIS translocation in thyroid tissues. In papillary thyroid cancer, high concentration of TSH combined with TSHR could improve the expression of NIS or mediate the NIS properly located in cell membrane, thus increasing the 131I uptake in therapy. PBF, one of the NIS upstream enhancer (NUE) regulators, it’s effect on the NIS expression was observed in Smith’s study [41] that exogenous PBF expression significantly reduced iodide uptake and cell surface NIS expression in NIS-introduced Cos-7 cells. In addition, PI3K was reported that a constitutively active mutant of PI3K, p110αCAAX, suppressed the expression of NIS in cell surface, as well as iodide uptake in MCF7 cells [44]. The underlying mechanism of how the above factors regulate the expression of NIS and the uptake of iodide is not clear.

Our study indicated that the expression of NIS is not the reason of low iodide uptake in Differentiated Thyroid Cancer. It might be caused by abnormal translation of NIS rather than reduced expression of NIS in thyroid carcinoma cells may play a key role in this process. Although our analysis shows that the expression of NIS in differentiated thyroid cancer is more than that in normal thyroid tissues, moreover, the publication bias of our included studies is not obvious (Figure 4), but several limitations should be considered: 1) the number of relevant studies included is restricted, so the sample size in case and control group is not large; 2) As indicated by I2 statistics, the studies included in our meta-analysis showed significant heterogeneity, once the studies that inducing discrepancy were removed for sensitivity analysis, the heterogeneity were deleted or reduced to an acceptable range.

In conclusion, our study suggests that the expression of NIS is significantly increased, and the expression of NIS is not the reason of low iodine uptake in DTC. More clinical or experimental researches with high-quality, larger sample and strictly case-control studies are needed to confirm our conclusion in the future. The underlying mechanisms that link NIS expression with effective RAI therapy also should be further investigated.

Acknowledgements

Natural Science Fund of Shandong Province (grant numbers: Y2006C76, Y2008C73, ZR2010HM044); Science and Technology Development Projects of Shandong Province (grant numbers: 2010GSF10228, 2012GGH11862); National Science Foundation (grant numbers: 81070637).

Disclosure of conflict of interest

None.

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