Retinoic acid receptor and retinoid X receptor subtype expression for the differential diagnosis of thyroid neoplasms

in European Journal of Endocrinology

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Background

Although differential expression of retinoic acid receptor (RAR) subtypes between benign and malignant thyroid tissues has been described, their diagnostic value has not been reported.

Aim

To investigate the diagnostic accuracy of RAR and retinoid X receptor (RXR) subtype protein expression for the differential diagnosis of thyroid neoplasms.

Methods

We used a tissue array containing 93 benign thyroid tissues (normal thyroid, multinodular goiter, and follicular adenoma (FA)) and 77 thyroid carcinomas (papillary thyroid carcinoma (PTC), follicular thyroid carcinoma, and follicular variant of PTC (FVPTC)). Immunostaining was done for RAR and RXR subtypes. Staining was analyzed semiquantitatively based on receiver operating curve analyses and using hierarchical cluster analysis.

Results

We found increased expression of cytoplasmic (c) RARA, cRARG, cRXRB and decreased expression of nuclear (n) RARB, nRARG, and nRXRA in thyroid carcinomas compared with benign tissues. We found three proteins differently expressed between FA and FTC and five proteins differentially expressed between FA and FVPTC, with high diagnostic accuracies. Using cluster analysis, the combination of negative staining of membranous RXRB and positive staining for cRXRB had a high positive predictive value (98%) for malignant thyroid disease, whereas the combination of positive nRXRA and negative cRXRB staining had a high predictive value (91%) for benign thyroid lesions.

Conclusion

We conclude that differences in RAR and RXR subtype protein expression may be valuable for the differential diagnosis of thyroid neoplasms. The results of this study and especially the value of cluster analysis have to be confirmed in subsequent studies.

Abstract

Background

Although differential expression of retinoic acid receptor (RAR) subtypes between benign and malignant thyroid tissues has been described, their diagnostic value has not been reported.

Aim

To investigate the diagnostic accuracy of RAR and retinoid X receptor (RXR) subtype protein expression for the differential diagnosis of thyroid neoplasms.

Methods

We used a tissue array containing 93 benign thyroid tissues (normal thyroid, multinodular goiter, and follicular adenoma (FA)) and 77 thyroid carcinomas (papillary thyroid carcinoma (PTC), follicular thyroid carcinoma, and follicular variant of PTC (FVPTC)). Immunostaining was done for RAR and RXR subtypes. Staining was analyzed semiquantitatively based on receiver operating curve analyses and using hierarchical cluster analysis.

Results

We found increased expression of cytoplasmic (c) RARA, cRARG, cRXRB and decreased expression of nuclear (n) RARB, nRARG, and nRXRA in thyroid carcinomas compared with benign tissues. We found three proteins differently expressed between FA and FTC and five proteins differentially expressed between FA and FVPTC, with high diagnostic accuracies. Using cluster analysis, the combination of negative staining of membranous RXRB and positive staining for cRXRB had a high positive predictive value (98%) for malignant thyroid disease, whereas the combination of positive nRXRA and negative cRXRB staining had a high predictive value (91%) for benign thyroid lesions.

Conclusion

We conclude that differences in RAR and RXR subtype protein expression may be valuable for the differential diagnosis of thyroid neoplasms. The results of this study and especially the value of cluster analysis have to be confirmed in subsequent studies.

Introduction

The microscopical distinction between benign and malignant neoplastic thyroid nodules by conventional histology is often difficult as these lesions may share overlapping histological characteristics. Therefore, it is important to identify new markers to distinguish benign from malignant thyroid tumors. In recent years, several immunohistochemical markers have been studied to improve the differential diagnosis of thyroid lesions, using both candidate markers and unbiased approaches (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12).

The expression of retinoid receptors may be interesting for the differentiation between benign and malignant thyroid tissues. Retinoids are important for growth, differentiation, and morphogenesis in vertebrates (13). Retinoids are derivatives of vitamin A (i.e. retinol). Retinoid receptors belong to the family of nuclear receptors and can be distinguished in retinoic acid receptors (RAR) and retinoid X receptors (RXR). According to the literature, retinoid receptors appear to be differentially expressed in benign and malignant thyroid tissues, the general picture being decreased expression of retinoid receptor subtypes in thyroid cancer (Table 1) (14, 15, 16, 17, 18, 19, 20), which may also have therapeutic implications (17, 18, 21, 22, 23). However, in these publications on retinoid receptor expression in thyroid lesions, the question whether retinoid receptor expression could be used for the differential diagnosis of thyroid neoplasms was not addressed, probably because most studies included relatively small number of patient samples or the studies included only a subset of retinoid receptors (Table 1).

Table 1

Overview of literature on retinoic acid and retinoid X receptor expression in thyroid tissue samples and carcinoma cell lines.

Study (ref)# Tissue samples/cell linesHistologyMethodRetinoid receptors studiedResults
Rochaix et al. (1998) (14)58 samples16 PTCImmunohistochemistryRARBReduced RARB expression in PTC compared to normal tissue
2 FTCWestern blotModerate RARB expression in one FTC, none in the other
30 CTL
6 MNG
2 FA
2 toxic goiter
Schmutzler et al. (1998) (15)4 cell linesFTC-133RT-PCRRARAExpression RARA, B, G, RXR A and B in all carcinoma cell lines, however, lower compared to goiterous cells. Lowest in FTC cells
FTC-238Northern blotRARB
HTh74 (ATC)RARG
C643 (ATC)RXRA9 of 12 tumor samples decreased or absent expression of RXRB
18 samples2 CTLRXRB
2 adenomasRXRG
2 unknown Ca
3 FTC
3 OTC
6 PTC
Takiyama et al. (2003) (16)176 samples57 PTCImmunohistochemistry RXRADecreased nuclear expression of all RXR isoforms in carcinoma
40 FTCRT-PCR and western blotRXRBPTC and FTC: low nuclear expression, moderate cytoplasmic expression
24 ATCRXRGATC: no expression RXRG
28 MTCFA: distinct nuclear staining RXRA and RXRB
27 FARXRG undetectable in WRO, RXRA and RXRB detectable in all cell lines
3 cell linesARO (ATC)
WRO (FTC)
NPA (PTC)
Schmutzler et al. (2004) (17)4 cell linesFTC-133RT-PCR and northern blotRARAReduced level RARB in FTC-238
FTC-238RARB Reduced level RARA in HTh74 and C643
HTh74 (ATC)
C643 (ATC)
Haugen et al. (2004) (18)10 samples5 PTCRT-PCR and western blotRARARARA and G expressed in all cell lines
1 FTCRARBRARB not expressed in FTC cells
1 insularRARGRXRA and B decreased expressed in ATC cells
1 ATCRXRARXRG expressed only in ATC
2 FARXRB
4 cell linesMRO-87 (FTC)RXRGRARB expression decreased in malignant tissues
WRO-82 (FTC)RXRG expression decreased in benign tissue en increased in malignant tissue
TAD-2 (CTL)
DRO-90 (ATC)
Elisei et at. (2005) (19)24 samples10 PTC, 10 CTL 4 ATCImmunohistochemistry RARBDecreased RARB in PTC and ATC compared to controls
Koh et al. (2006) (20)3 cell linesSNU-80 (PTC)RARARARB not expressed
SNU-373 (PTC)RARBRARA detected in all three cell lines
SNU-790 (ATC)RARGRARG detected in SNU-80 and SNU-373

PTC, papillary thyroid carcinoma; FTC, follicular thyroid carcinoma; CTL, normal thyroid tissue; MNG, multi nodular goiter; FA, follicular adenoma; OTC, oncocytic thyroid carcinoma; ATC, anaplastic thyroid carcinoma; RT-PCR, real-time peroxidase chain reaction; RA, retinoic acid; RAR, retinoic acid receptor; RXR, retinoid X receptor.

We, therefore, decided to study the diagnostic value of RAR and RXR subtype expression in benign and malignant thyroid tissues, using receiver operating curve (ROC) analyses as well as hierarchical cluster analysis (12). In addition, we also studied the prognostic value of RAR expression for relapse-free survival.

Materials and methods

Thyroid tissues

We obtained one hundred and seventy histological samples from surgically removed thyroid lesions representing five different histological thyroid disorders and adjacent thyroid normal tissue from the archive of the Department of Pathology of the Leiden University Medical Centre. We selected 93 benign thyroid tissues (normal n=64, multinodular goiter n=16, follicular adenoma (FA) n=13), and 77 non-medullary thyroid carcinomas (papillary thyroid carcinoma (PTC) n=53, follicular thyroid carcinoma (FTC) n=13 and follicular variant of PTC (FVPTC) n=11). All original histological diagnoses were reviewed by two independent observers. Given the variability in phenotype of follicular lesions, only microfollicular FA and widely invasive FTC's were included on which both observers agreed. Likewise, we only included encapsulated FVPTC tumors with a typical PTC nuclear pattern on which both observers agreed.

Tissue microarray

Formalin-fixed, paraffin-embedded blocks routinely prepared from surgical specimens of thyroid tumors were selected for this study. Representative areas containing tumor or adjacent normal tissue were identified by a pathologist. Triplicate tissue cores with a diameter of 0.6 mm were taken from each specimen (Beecher Instruments, Silver Springs, MD, USA) and arrayed on a recipient paraffin block, using standard procedures (24).

Immunohistochemistry methods

Four micrometer consecutive tissue sections were cut from each arrayed paraffin block and prepared on pathological slides. The sections were deparaffinized in xylene followed by 0.3% hydrogen peroxide in methanol at room temperature for 20 min to block endogenous peroxidase. After rehydration, antigen retrieval was performed by microwave treatment in 0.001 M citrate buffer (pH 6.0). The sections were incubated with the following primary antibodies against RAR and RXR subtypes: anti-RARA monoclonal antibody 9A9A6, dilution 1:3000; anti-RARB monoclonal antibody 8B10B2, dilution 1:200; anti-RARG monoclonal antibody. 4G-7A11, dilution 1:350; anti-RXRA monoclonal antibody 4RX3A2, dilution 1:1000 (all gifts of Dr C Rochette-Egly, IGBMC, Illkirch, France), anti-RXRB polyclonal antibody sc-831, dilution 1:650 (Santa Cruz Biotechnology, Santa Cruz, CA, USA); anti-RXRG polyclonal antibody sc-555, dilution 1:500 (Santa Cruz). Sections were incubated overnight at room temperature with the primary antibodies, dissolved in PBS with 1% bovine serum albumin. Subsequently, the sections were incubated for 30 min with either the biotinylated rabbit-anti-mouse conjugate, dilution 1:200 or goat-anti-rabbit, dilution 1:400 (DakoCytomation, Glostrup, Denmark), followed by incubation for 30 min with the streptavidin-biotin-peroxidase conjugate. This step was performed by 10-min incubation with 3,3′-diaminobenzidinetetrachloride substrate in a buffered 0.05-M Tris/HCl (pH 7.6) solution containing 0.002% hydrogen peroxide. Negative controls were stained with the primary antibody omitted. The sections were counterstained with hematoxylin.

Immunohistochemical scoring

A semiquantitative assessment of immunohistochemical scoring was performed including both the intensity of staining and the percentage of positive cells. The percentage of cells with positive staining was scored as follows: >0–20%: ‘1’, >20–50%: ‘2’, >50–70%: ‘3’, and >70–100% ‘4’. The staining intensity was scored as faint: ‘1’, intermediate: ‘2’, and intense: ‘3’. Scores for proportion of positive cells and intensity were multiplied. Nuclear, cytoplasmic, and membranous staining was scored independently. The total score per sample therefore ranged from 0 to 12. Score results for triplicate samples were averaged.

Statistical analyses

Statistical analyses were performed using SPSS 14.0 (SPSS Inc., Chicago, IL, USA). Initially, staining scores for every individual antibody were expressed as mean±s.d. per histological category (Table 2). The next step was the analysis of differences in staining scores for each antibody between malignant versus benign tissues, malignant versus normal tissues, FA versus FTC and FA versus FVPTC using the Mann–Whitney test. For each differentially expressed antibody between two histological categories, the optimal cut-off value for the distinction between the two categories was determined by receiver operating characteristic (ROC) analysis. In theory, this could give different cut-off values for one antibody for different comparisons. Only antibodies with sensitivities and specificities above 70% were included in further analyses. In addition to the individual protein markers, the analysis of the diagnostic accuracy of panels of antibodies was performed using hierarchical clustering analysis of tissue microarray data using Cluster and TreeView (Cluster and TreeView 2.11; Eisen Lab, University of California at Berkeley, CA, USA) (12, 25). Input for these analyses was the individual staining score per sample for each antibody. A P value of <0.05 was considered significant.

Table 2

Results of retinoid receptor subtype immunohistochemistry.

Normal (n=64)Multi nodular goiter (n=16)Follicular adenoma (n=13)FTC (n=13)FVPTC (n=11)PTC (n=53)
Nuclear RARA4.47±1.984.06±1.464.88±1.676.02±3.711.12±2.392.56±2.43
Cytoplasm RARA0.0±0.00.0±0.00.0±0.02.43±4.471.67±2.421.21±2.47
Nuclear RARB 8.53±2.20 8.62±1.428.63±2.215.62±3.375.78±3.126.21±3.18
Nuclear RARG 4.56±2.593.17±1.43.17±2.261.61±1.580.85±1.922.00±2.63
Cytoplasmic RARG0.0±0.00.0±0.00.55±1.811.78±3.5410.54±1.800.93±2.58
Nuclear RXRA 2.29±2.002.27±2.032.64±2.600.44±0.120.00±0.000.37±1.10
Nuclear RXRB 0.71±1.620.36±1.210.0±0.00.00±0.000.30±0.950.32±1.33
Cytoplasmic RXRB 0.07±0.530.0±0.02.18±4.855.99±4.892.68±4.546.80±4.55
Membranous RXRB1.66±2.063.34±2.054.53±2.691.88±1.881.41±2.840.92±2.20

Scoring method: the percentage of cells with positive staining was scored: >0–20%: ‘1’, >20–50%: ‘2’, >50–70%: ‘3’, and >70–100% ‘4’. The intensity was scored as faint: ‘1’, intermediate: ‘2’, and intense: ‘3’. These scores were multiplied. Score results for triplicate samples were averaged. Distinctive scores were categorized according to nuclear, cytoplasm and membranous staining patterns. Data are mean±s.d. RAR, retinoic acid receptor; RXR, retinoid X receptor.

Results

RAR and RXR expression in thyroid lesions: benign versus malignant

The scores for expression of RAR and RXR receptor subclasses are shown in Table 2. Benign tissue samples had an overall lower expression of cytoplasmic RARA (cRARA), cytoplasmic RARG (cRARG), and cytoplasmic RXRB (cRXRB) and a higher expression of nuclear RARA (nRARA), nuclear (n) RARB, nuclear RARG (nRARG) and nuclear RXRA (nRXRA) compared with malignant tissues. FA scored particularly high for nuclear RXRA (nRXRA) and low for nuclear RXRB (nRXRB) expression. FVPTC also had a very low expression of nRXRB. RXRG staining did not reveal a positive result in all thyroid tissues, and was excluded from further analyses.

Figure 1 shows the differences in expression patterns for different categories of thyroid tissues. All RAR and RXR subtypes appeared to be differentially expressed between malignant thyroid lesions and normal thyroid tissue.

Figure 1
Figure 1

(A) Immunostaining of RAR and RXR subtype antibodies in normal, benign, and malignant thyroid lesions. Immunohistochemistry scores were expressed semi-quantitatively (for explanation, see text). Data are expressed as mean±s.d. Comparisons between (A) benign and malignant; (B) follicular adenoma (FA) and follicular thyroid carcinoma (FTC), and (C) follicular adenoma and follicular variant of papillary carcinoma (FVPTC) were performed with the Mann–Whitney test. *P <0.005; # P<0.05; n=nuclear; c=cytoplasmic; n=nuclear; RAR=Retinoic Acid Receptor; RXR=Retinoid X Receptor

Citation: European Journal of Endocrinology 160, 4; 10.1530/EJE-08-0812

RAR and RXR expression in thyroid lesions: follicular lesions

The differentiation between follicular lesions (FA, FTC, and FVPTC) is difficult. Therefore, we compared these subgroups separately. FTC had a significantly lower expression of nRARB, nRXRA, and mRXRB compared with FA. FVPTC had a significantly lower expression of nRARA, nRARB, nRARG, nRXRA, and mRXRB compared with FA (Fig. 1).

ROC analyses

For each differentially expressed antibody between two categories, the optimal cut-off values for the distinction between the two histological classes were determined by ROC analysis. Only antibodies with sensitivities and specificities above 70% were used for further analyses (Table 3). Comparison of the expression between benign and malignant thyroid tissues revealed sensitivities and specificities >70% for nRXRA, cRXRB, and mRXRB, the highest sensitivity (89%) and specificity (96%) for nuclear RXRA (Table 3). NRXRA and cRXRB also discriminated reasonably between malignant and normal thyroid tissues.

Table 3

Diagnostic value of RAR and RXR differentially expressed in thyroid tissues with sensitivity and specificity above 70%.

Malignant versus benignMalignant versus normal
Cut-off levelaSensitivity for malignancy (%) Specificity for malignancy (%) Cut-off levelaSensitivity for malignancy (%)Specificity for malignancy (%)
Nuclear RARB <8.57280
Nuclear RXRA <18996<18975
Cytoplasmic RXRB >17196>17189
Membranous RXRB <17472
FTC versus FAFVPTC versus FA
Cut-off levelaSensitivity for FTC (%)Specificity for FTC (%)Cut-off levelaSensitivity for FVPTC (%)Specificity for FVPTC (%)
Nuclear RARA<18580<39291
Nuclear RARB<87391<89182
Nuclear RARG>18291
Nuclear RXRA<110073
Cytoplasmic RXRB>27182
Membranous RXRB<48275<18282

Benign thyroid tissues, multinodular goiter, follicular adenoma and normal; RAR, retinoic acid receptor; RXR, retinoid X receptor.

Obtained by ROC analyses of semi-quantitative immunohistochemistry scores.

In the comparison between FA and FTC, nRARB, nRARA, cRXRB, and mRXRB had sensitivities and specificities above 70%, the highest sensitivity for FTC found for nRARA (85%) and the highest specificity for nRARB (91%; Table 3).

In the comparison between FA and FVPTC, nRARB, nRARG, nRARA, nRXRA and mRXRB had sensitivities and specificities above 70%. The highest sensitivity for FVPTC was found for nRXRA (100%) and the highest specificities for both nuclear nRARA (91%) and nRARG (91%; Table 3).

Hierarchical cluster analysis

To identify the optimal combinations of RAR and RXR subtype expression for the differential diagnosis of thyroid neoplasms, we performed an unsupervised hierarchical cluster analysis, the results of which are shown in Fig. 2 and Table 4. We found that 98% of thyroid lesions in cluster 2 (negative staining of mRXRB and positive staining for cRXRB) were malignant, whereas 91% of the lesions in cluster 4 (positive staining for nRXRA and a negative staining for cRXRB) were benign. The diagnostic parameters are summarized in Table 4.

Figure 2
Figure 2

Hierarchical cluster analyses using RAR and RXR subtype antibodies in thyroid tissues. Nuclear RXRA, cytoplasmic, and membranous RXRB were identified as the best predictors of benign or malignant thyroid lesions. The absence of membranous (m) RXRB and the presence of cytoplasmic (c) RXRB had a high positive predictive value for malignancy (98%, cluster 2). The presence of nuclear (n) RXRA and absence of cytoplasmic RXRB had a high positive predictive value for benign lesions (91%, cluster 4). CTL, normal thyroid; HP, hyperplasia; FA, follicular adenoma; FTC, follicular thyroid carcinoma; PTC, papillary thyroid carcinoma; FVPTC, follicular variant PTC. Full colour version of this figure available via .

Citation: European Journal of Endocrinology 160, 4; 10.1530/EJE-08-0812

Table 4

Diagnostic value of combinations of retinoid receptor staining for benign vs. malignant thyroid lesions, based on hierarchical cluster analysis.

Combination mRXRB – and cRXRB +Combination not presentTotal
(a) Diagnostic value of combinations of retinoid receptor staining for benign versus malignant thyroid lesions, based on cluster 2 in hierarchical cluster analysis
Malignant44 3579
Benign1 (FA)9698
Total45131176
PPV malignancy=98%NPV malignancy=72%LR malignancy 56
Combination nRXRA + and cRXRB −Combination not present
(b) Diagnostic value of nRXRα and cRXRβ staining for benign versus malignant thyroid lesions, based on cluster 4 in hierarchical cluster analysis
Benign425698
Malignant4 (3 PTC/1 FTC)7579
Total46130176
PPV benign=91%NPV benign=57%LR 8.6

RAR, retinoic acid receptor; RXR, retinoid X receptor; PPV, positive predicting value; NPV, negative predicting value; LR, likelihood.

In general, the follicular lesions did not cluster separately, but we found that only one FA was present in cluster 2 (high positive predictive value for malignancy), whereas in cluster 4 (high positive predictive value for benign lesions) only one FTC was present (Fig. 3).

Figure 3
Figure 3

Tissue samples of primary tumors from patients with metastatic DTC. Immunohistochemistry was performed with anti-RAR and RXR antibodies as indicated in the Patients and methods. Magnification was 200×. All samples showed positive staining. For RXRB cytoplasmic staining is shown, as in most patients with DTC. Full colour version of this figure available via .

Citation: European Journal of Endocrinology 160, 4; 10.1530/EJE-08-0812

Discussion

The present study was performed to evaluate the diagnostic value of the expression of RAR and RXR subtypes in a large panel of thyroid neoplasms. To our knowledge, the diagnostic value of RAR and RXR receptor expression for the differential diagnosis of thyroid neoplasms has not been published before (14, 15, 16, 17, 18, 19, 20). Our study also differed from earlier ones with regard to the identification of optimal semiquantitative cut-off levels using ROC analyses and hierarchical cluster analysis.

In general, we found an increased expression of cRARA, cRARG, cRXRB, and a decreased expression of nRARB, nRARG, and nRARA in thyroid carcinomas compared with benign thyroid tissue. The most challenging pathological differential diagnosis is between FA, FTC, and FVPTC. We found three proteins differentially expressed between FA and FTC and five proteins differentially expressed between FA and FVPTC. In the comparison between FA and FTC the highest sensitivity for FTC was found for nRARA and the highest specificity for nRARB. In the comparison between FA and FVPTC, the highest sensitivity for FVPTC was found for nRXRA and the highest specificities for nRARA and nRARG. Some of these observations are in line with other studies that investigated RAR and/or RXR expression in thyroid tissue samples (Table 1). Rochaix et al. (14) (Immunohistochemistry), Haugen et al. (18) (RT-PCR), and Elisei et al. (19) (RT-PCR) also found reduced RARβ expression in PTC, compared with normal tissue. Rochaix et al. (14) only investigated two FTC samples of which one sample showed moderate RARB expression and the other did not. Our finding of higher nuclear and lower cytoplasm expression of RARG in malignant thyroid tissues was not reported before. Nuclear RXRA expression was low or absent in thyroid carcinomas in our study. This finding is confirmed by a paper by Takiyama et al. (16). We did not find positive RXRG staining in thyroid tissues, which is unexpected, given the results of Haugen et al. by western blot (18).

There are two studies on RXRB expression in thyroid neoplasms (15, 16). They both found decreased or absent expression of RXRB in carcinomas. One of these studies, however, (15) used RT-PCR and contained only 12 human thyroid carcinoma samples. In our study, we differentiated between nuclear, cytoplasmic, and membranous staining. The only study that also differentiated between nuclear and cytoplasm staining pattern, only investigated RXR isoform expression (16).

We performed a cluster analysis including all studied tissues and antibodies. Our findings showed that the combination of negative staining of mRXRB and a positive staining for cRXRB had a high accuracy for the detection of malignant thyroid tissues, whereas the combination of a positive staining for nRXRA and a negative staining for cRXRB was present in most benign tissues.

There are some limitations to our study. Although, we were able to distinguish between follicular lesions, the number of follicular lesions was relatively small. Therefore, additional studies should be performed with larger numbers of follicular lesions, also including histological subtypes of follicular lesions. Moreover, the findings of our study and the clinical usefulness of hierarchical cluster analysis have to be validated in subsequent studies and most importantly in cytological preparations. Also, other difficult-to-classify thyroid neoplasms such as minimally invasive follicular carcinomas as well as FA subclasses should be included in subsequent studies. The biological mechanisms responsible for the differential expression of RAR and RXR between thyroid tissues also remain to be elucidated. In conclusion, differences in RAR and RXR subtype protein expression as studied by immunohistochemistry may be of additional value in the differential diagnosis of thyroid neoplasms.

Declaration of interest

There is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

Funding

This work was supported by the Dutch Councer Foundation KWF (grant number KWF 2001–2568).

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    Koh CS, Ku JL, Park SY, Kim KH, Choi JS, Kim IJ, Park JH, Oh SK, Chung JK, Lee JH, Kim WH, Kim CW, Cho BY, Park JG. Establishment and characterization of cell lines from three human thyroid carcinomas: responses to all-trans-retinoic acid and mutations in the BRAF gene. Molecular and Cellular Endocrinology 2007 264 118127.

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  • 21

    Havekes B, Schroder Van Der Elst JP, van der PG, Goslings BM, Romijn JA, Smit JW. Beneficial effects of retinoic acid on extracellular matrix degradation and attachment behaviour in follicular thyroid carcinoma cell lines. Journal of Endocrinology 2000 167 229238.

    • Search Google Scholar
    • Export Citation
  • 22

    Simon D, Korber C, Krausch M, Segering J, Groth P, Gorges R, Grunwald F, Muller-Gartner HW, Schmutzler C, Kohrle J, Roher HD, Reiners C. Clinical impact of retinoids in redifferentiation therapy of advanced thyroid cancer: final results of a pilot study. European Journal of Nuclear Medicine and Molecular Imaging 2002 29 775782.

    • Search Google Scholar
    • Export Citation
  • 23

    Liu YY, Stokkel MP, Pereira AM, Corssmit EP, Morreau HA, Romijn JA, Smit JW. Bexarotene increases uptake of radioiodide in metastases of differentiated thyroid carcinoma. European Journal of Endocrinology 2006 154 525531.

    • Search Google Scholar
    • Export Citation
  • 24

    Kononen J, Bubendorf L, Kallioniemi A, Barlund M, Schraml P, Leighton S, Torhorst J, Mihatsch MJ, Sauter G, Kallioniemi OP. Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nature Medicine 1998 4 844847.

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  • 25

    Toronen P. Selection of informative clusters from hierarchical cluster tree with gene classes. BMC Bioinformatics 2004 5 32

 

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    (A) Immunostaining of RAR and RXR subtype antibodies in normal, benign, and malignant thyroid lesions. Immunohistochemistry scores were expressed semi-quantitatively (for explanation, see text). Data are expressed as mean±s.d. Comparisons between (A) benign and malignant; (B) follicular adenoma (FA) and follicular thyroid carcinoma (FTC), and (C) follicular adenoma and follicular variant of papillary carcinoma (FVPTC) were performed with the Mann–Whitney test. *P <0.005; # P<0.05; n=nuclear; c=cytoplasmic; n=nuclear; RAR=Retinoic Acid Receptor; RXR=Retinoid X Receptor

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    Hierarchical cluster analyses using RAR and RXR subtype antibodies in thyroid tissues. Nuclear RXRA, cytoplasmic, and membranous RXRB were identified as the best predictors of benign or malignant thyroid lesions. The absence of membranous (m) RXRB and the presence of cytoplasmic (c) RXRB had a high positive predictive value for malignancy (98%, cluster 2). The presence of nuclear (n) RXRA and absence of cytoplasmic RXRB had a high positive predictive value for benign lesions (91%, cluster 4). CTL, normal thyroid; HP, hyperplasia; FA, follicular adenoma; FTC, follicular thyroid carcinoma; PTC, papillary thyroid carcinoma; FVPTC, follicular variant PTC. Full colour version of this figure available via .

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    Tissue samples of primary tumors from patients with metastatic DTC. Immunohistochemistry was performed with anti-RAR and RXR antibodies as indicated in the Patients and methods. Magnification was 200×. All samples showed positive staining. For RXRB cytoplasmic staining is shown, as in most patients with DTC. Full colour version of this figure available via .

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    Koh CS, Ku JL, Park SY, Kim KH, Choi JS, Kim IJ, Park JH, Oh SK, Chung JK, Lee JH, Kim WH, Kim CW, Cho BY, Park JG. Establishment and characterization of cell lines from three human thyroid carcinomas: responses to all-trans-retinoic acid and mutations in the BRAF gene. Molecular and Cellular Endocrinology 2007 264 118127.

    • Search Google Scholar
    • Export Citation
  • 21

    Havekes B, Schroder Van Der Elst JP, van der PG, Goslings BM, Romijn JA, Smit JW. Beneficial effects of retinoic acid on extracellular matrix degradation and attachment behaviour in follicular thyroid carcinoma cell lines. Journal of Endocrinology 2000 167 229238.

    • Search Google Scholar
    • Export Citation
  • 22

    Simon D, Korber C, Krausch M, Segering J, Groth P, Gorges R, Grunwald F, Muller-Gartner HW, Schmutzler C, Kohrle J, Roher HD, Reiners C. Clinical impact of retinoids in redifferentiation therapy of advanced thyroid cancer: final results of a pilot study. European Journal of Nuclear Medicine and Molecular Imaging 2002 29 775782.

    • Search Google Scholar
    • Export Citation
  • 23

    Liu YY, Stokkel MP, Pereira AM, Corssmit EP, Morreau HA, Romijn JA, Smit JW. Bexarotene increases uptake of radioiodide in metastases of differentiated thyroid carcinoma. European Journal of Endocrinology 2006 154 525531.

    • Search Google Scholar
    • Export Citation
  • 24

    Kononen J, Bubendorf L, Kallioniemi A, Barlund M, Schraml P, Leighton S, Torhorst J, Mihatsch MJ, Sauter G, Kallioniemi OP. Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nature Medicine 1998 4 844847.

    • Search Google Scholar
    • Export Citation
  • 25

    Toronen P. Selection of informative clusters from hierarchical cluster tree with gene classes. BMC Bioinformatics 2004 5 32