Background
The well-known oncogene,
MYC, was first identified as the cellular homolog of the viral oncogene myc [
1]. Subsequent research showed that human cancers frequently display amplification of c-Myc, indicating the importance of this gene in cancer [
2‐
4]. Expression of the c-Myc protein or the c-
MYC gene is increased in a variety of human cancers, including over 80% of mammary cancers, 70% of colon cancers and 50% of hepatocellular carcinomas [
5,
6]. As an important oncogene and transcription factor, Myc was recognized as a dominant factor in cell cycle progression, cell differentiation, apoptosis and genomic instability. Because Myc promotes cell proliferation and inhibits cell differentiation [
7,
8], most of the target genes that are transcriptionally repressed by Myc have the opposite biological role. For example, they may inhibit cell proliferation, especially in cancer cells, or initiate cell differentiation.
Up-regulation of mouse
ndrg1 was initially discovered in N-
myc knockout mice [
9]. Accordingly, it was named the 'N-
myc downstream-regulated gene.' The mouse
ndrg family now includes three members,
ndrg1,
ndrg2 and
ndrg3. Subsequently, the human
NDRG family members,
NDRG1,
NDRG2,
NDRG3 and
NDRG4, were cloned [
10‐
13]. The amino acid sequence homology among human
NDRG family members is 57–65%, indicating the conserved function of this family.
We were the first to identify human
NDRG2 (AF 159092) and demonstrated that
NDRG2 was a candidate tumor suppressor gene [
10]. We also found that expression of
NDRG2 in human glioblastoma tissues was significantly lower than in normal tissue and demonstrated that Myc repressed human
NDRG2 through a Miz-1-dependent interaction with the core promoter of
NDRG2 [
14].
As a gene that is regulated downstream of Myc,
NDRG2 expression has been shown to be reduced in many types of carcinomas. Our previous data and other reports showed that
NDRG2 expression was decreased in breast cancer, lung cancer, hepatocellular carcinoma, colon cancer and gliomas [
10,
15‐
17]. Furthermore,
NDRG2 was shown to be up-regulated in Alzheimer's brains [
18] and could induce the differentiation of dendritic cells [
19]. Our previous results also demonstrated the increased
NDRG2 expression following the differentiation and maturation of U937 and HL60 leukemia cells. These findings implicate the important role of
NDRG2 in cell growth and differentiation [
14].
In the pathogenesis of thyroid cancer, evidence indicates that there are many genetic alterations and unique chromosomal rearrangements that occur, including the involvement of the RET-Ras-BRAF signaling cascade [
20,
21]. As human
NDRG2 is important in cell proliferation and differentiation, we investigated whether
NDRG2 participated in the carcinogenesis of thyroid cancer. Using immunochemistry, we first analyzed a tissue microarray of thyroid adenomas and carcinomas. The results showed that
NDRG2 expression was significantly decreased in carcinomas, but was only slightly reduced in adenomas. We also detected obvious amplification of Myc in the thyroid cancer tissues, compared to normal tissues. This result was confirmed through a subsequent examination of clinical samples from patients with thyroid adenomas and carcinomas. Using real-time PCR and western blot analysis, we assessed the mRNA and protein expression levels of
NDRG2 in thyroid carcinomas and adenomas.
Methods
1. Tissue microarray
Two tissue microarrays, purchased from ChaoYing Biotechnology Co. Ltd. (CC15-11-001 and CC15-21-001), were used in the immunochemical analysis. Each microarray contains 159 thyroid tissue samples, including 81 thyroid carcinomas, 38 thyroid adenomas, and 40 normal thyroid tissues. Each thyroid tissue sample comes with detailed information regarding the patient, including gender, age and tumor histotype. Table
1 summarizes the data regarding the samples.
Table 1
List of various histotypes of thyroid tumor on the tissue arrays
|
n = 51
|
n = 15
|
n = 8
|
n = 7
|
n = 38
|
n = 40
|
Women | 41 | 9 | 6 | 3 | 33 | 25 |
Men | 10 | 6 | 2 | 4 | 5 | 15 |
Age (Mean ± SD) | 39.63 ± 16.07 | 39.37 ± 16.34 | 43.38 ± 16.34 | 43.63 ± 10.03 | 39.87 ± 11.46 | 40.78 ± 10.15 |
2. Clinical collection of thyroid samples
A total of 35 thyroid carcinomas samples were collected. This group was comprised of 20 papillary thyroid carcinomas (PTCs), eight follicular thyroid carcinomas (FTCs), five medullary thyroid carcinomas (MTCs), and two undifferentiated thyroid carcinomas (UTCs). Additionally, 40 thyroid adenoma samples were obtained. Human thyroid tumor tissues and their normal counterparts were accumulated between 2006 and 2007 from patients with thyroid tumors. They were gathered at the time of surgery from the Department of General Surgery, Tangdu Hospital and Xijing Hospital, FMMU (Xi'an, China).
The collection and use of human thyroid tissues were approved by the Fourth Military Medical University medical ethics committee. All patients provided written informed consent.
After surgical removal, all thyroid tumor tissues were immediately frozen in liquid nitrogen and stored at -70°C until processing. Each tumor was scored for clinical staging based on the tumor-node-metastasis (TNM) classification, which was introduced in 1987 by the International Union Against Cancer. All of the samples had been reviewed and given a final diagnosis by three different clinical pathologists. The distribution of gender, age, histological diagnosis and TNM stages for the 35 thyroid carcinomas is shown in Table
2.
Table 2
List of patients with thyroid carcinomas
1 | 39 | male | PTC | pT1N0M0 |
2 | 45 | male | PTC | pT2N1M0 |
3 | 56 | male | PTC | pT1N0M0 |
4 | 25 | female | PTC | pT1N0M0 |
5 | 27 | female | PTC | pT3N0M0 |
6 | 28 | female | PTC | pT1N0M0 |
7 | 30 | female | PTC | pT1N0M0 |
8 | 31 | female | PTC | pT2N0M0 |
9 | 32 | female | PTC | pT1N0M0 |
10 | 36 | female | PTC | pT2N0M0 |
11 | 36 | female | PTC | pT1N0M0 |
12 | 38 | female | PTC | pT1N0M0 |
13 | 39 | female | PTC | pT2N0M0 |
14 | 40 | female | PTC | pT4aN1M0 |
15 | 48 | female | PTC | pT3N0M0 |
16 | 50 | female | PTC | pT4aN1M1 |
17 | 52 | female | PTC | pT1N0M0 |
18 | 55 | female | PTC | pT1N0M0 |
19 | 59 | female | PTC | pT1N0M0 |
20 | 67 | female | PTC | pT1N0M0 |
21 | 67 | male | FTC | pT1N0M0 |
22 | 27 | female | FTC | pT2N0M0 |
23 | 38 | female | FTC | pT1N0M0 |
24 | 40 | female | FTC | pT1N0M0 |
25 | 45 | female | FTC | pT1N0MX |
26 | 56 | female | FTC | pT4aN1M1 |
27 | 76 | female | FTC | pT3N0M0 |
28 | 65 | female | FTC | pT1N0M0 |
29 | 49 | male | UTC | pT4aN1M0 |
30 | 59 | male | UTC | pT4aN0M0 |
31 | 57 | male | MTC | pT1N0M0 |
32 | 65 | male | MTC | pT2N0M0 |
33 | 38 | female | MTC | pT1N0M0 |
34 | 49 | female | MTC | pT2N1M0 |
35 | 74 | female | MTC | pT2N0M0 |
3. Immunohistochemistry
A rabbit anti-human Ndrg2 polyclonal antibody was prepared in our laboratory. A PV-6000 immunohistochemistry kit was purchased from Zhongshan Company (Beijing, China). Paraffin wax and beeswax were purchased from Leica Histowax (Germany) and Hualing Company (Shanghai, China), respectively.
Tumor microarray paraffin blocks were cut into 4 μm sections. The sections were deparaffinized, heated at 70°C for 2 h, washed twice for 10 min in xylene, hydrated, and then washed twice for 3 min with phosphate-buffered saline (PBS). The tissue microarrays were incubated with 3% hydrogen peroxide for 10 min at room temperature and then subjected to three 3 min washes in PBS. Antigens were retrieved in 0.01 mol/L citrate buffer (pH 6.0) by incubating at 92–98°C for 25 min. Sections were allowed to cool naturally to room temperature and were washed twice for 3 min with PBS. The slides were then held in blocking solution for 30 min at 37°C. Sections were incubated with anti-Ndrg2 and anti-c-Myc polyclonal antibodies (1:50) for 4 h at 37°C and then washed with PBS three times for 3 min. Sections were incubated with HRP-conjugated goat anti-rabbit IgG secondary antibody for 10 min at 37°C. Immunolabeling was visualized by reaction with 3, 3'-diaminobenzidine (DAB). They were then removed from the DAB solution upon confirmation of color development and rinsed in PBS. Finally, the sections were counterstained with hematoxylin, dehydrated using graded dilutions of ethanol and coverslipped. A slide incubated with anti-actin primary antibodies served as the positive control, and a slide maintained in 0.01 mol/L PBS (pH 7.4), instead of the primary antibody solution, served as a negative control.
4. Immunohistochemistry scoring criteria
To examine the immunohistochemistry, we used the scoring method of Sinicrope et al. [
22]. Both the intensity and the extent of immunological staining were analyzed semi-quantitatively. Array fields were scored with respect to the quantity of positive cells. Sections with no labeling or with fewer than 5% labeled cells were scored as 0. Sections were scored as a 1 with labeling of 5–25% of cells, as a 2 with 25–50% of cells and as a 3 with 50–75% of cells. Finally, labeling of ≥75% of the cells was scored as a 4. The staining intensity was scored similarly, with 0 used for negative staining, 1 for weakly positive, 2 for moderately positive and 3 for strongly positive. The scores for the percentage of positive tumor cells and for the staining intensity were multiplied to generate an immunoreactive score for each specimen. The product of the quantity and intensity scores were calculated such that a final score of 0 indicated no expression, 0–4 indicated weak expression, 4–8 indicated moderate expression and 8–12 indicated strong expression. Each sample was examined separately and scored by two pathologists. Cases with discrepancies in the scores were discussed to reach a consensus.
5. RNA isolation and quantitative RT-PCR analysis
The tissue had been frozen in liquid nitrogen and stored at -80°C. Total RNA was extracted and purified from each sample, using the TRIzol reagent (Invitrogen). After quantification, total RNA (2 μg) was reverse-transcribed with reverse transcriptase (Promega, WI), according to the manufacturer's instructions. All PCR experiments were performed with Taq polymerase (Promega, WI). Quantitative RT-PCR was performed on a Prism 7500 real-time PCR system (Applied Biosystems) in Universal Mastermix (Applied Biosystems) to amplify NDRG2 and c-MYC. Primers were designed using the Primer Express Software (ABI, Foster City, CA). SYBR green (TAKARA) was used in each reaction for detection. The NDRG2 primers were 5'-GCCCAGCGATCCTTACCTACC-3' and 5'-GGCTGCCCAATCCATCCAACC-3'. The c-MYC primers were 5'-GGAGGAACAAGAAGATGAGGAAG-3' and 5'-AGGACCAGTGGGCTGTGAGG-3'. The GAPDH primers were 5'-GCCTCAAGATCATCAGCAAT-3' and 5'-AGGTCCACCACTGACACGTT-3'. NDRG2, c-MYC and GAPDH mRNAs were quantified separately in triplicate.
Each sample was used in a single reaction, which was incubated at 95°C for 10 s, followed by 40 cycles of 95°C for 5 s and 60°C for 34 s. Fluorescent data were converted into cycle threshold (CT) measurements, using the ABI Prism 7500 SDS system software.
6. Cell lysis and western blot analysis
Cells from each tissue sample were washed twice with ice-cold phosphate-buffered saline. Cells were collected and lysed with lysis buffer (50 mM Tris, pH 7.5, 150 mM NaCl, 1 mM MgCl2, 0.5% NP-40, 0.1 mM PMSF and protease inhibitor cocktail). Whole protein lysate (50 μg, measured using the BCA protein assay, Pierce, Rockford, IL) was loaded onto 12% SDS polyacrylamide gels for electrophoresis and transferred to Hybond ECL nitrocellulose membranes (Amersham Biosciences, Piscataway, NJ). The membranes were blocked with 5% fat free milk in Tris-buffered saline containing 0.05% Tween-20 and incubated with each primary antibody (Ab) overnight at 4°C. The following primary antibodies were used: anti-Ndrg2 goat polyclonal (Santa Cruz Biotechnology, Santa Cruz, CA), anti-c-Myc rabbit polyclonal (sc-764; Santa Cruz Biotechnology) and anti-β-actin rabbit polyclonal (Boster, Wu Han, China). Finally, to detect the primary antibody, blots were incubated with horseradish peroxidase-conjugated secondary antibodies (1:4000 dilution; Santa Cruz Biotechnology) for at least 1 h at room temperature. The ECL detection solutions (Pierce) were then applied. Scanned images were quantified using the Kodak Digital Science 1D software (Kodak, New Haven, CT).
7. Statistical analysis
For real-time PCR and immunostaining assays, significant differences across groups were analyzed using the Kruskal-Wallis tests and the Wilcoxon rank sum tests with the Bonferroni's correction for pairwise comparisons. Comparisons between cancer (adenoma) tissues and tissue adjacent to the cancer (adenoma) were performed using the Wilcoxon signed-rank test. The correlation analysis between RNA and protein was calculated using the Spearman correlation coefficient, and this analysis was used as well for Myc and NDRG2. All tests were two-tailed, and statistical significance was set at p < 0.05.
Discussion
The annual occurrence of thyroid cancer varies considerably in different regions, ranging from 1.2–2.6 per 100,000 individuals in males and from 2.0–3.8 per 100,000 in females. Several reports have shown that the incidence of thyroid cancer has increased in recent years [
20,
24]. With better diagnostic methods, there is also more detection of thyroid cancers at earlier stages. However, some thyroid cancer still develops into advanced stages with spreading and metastasis. It remains unclear how normal thyroid tissue develops into cancerous tissue.
In the present study, we demonstrated that the mRNA and protein expression levels of
NDRG2 were decreased in thyroid cancers, compared to normal tissues. We first observed the different expression profiles of Ndrg2 in a thyroid tissue array using immunohistochemistry, and we found low expression levels of Ndrg2 in the carcinomas, compared with normal tissue. In accord with our previous finding that Myc can transcriptionally repress human
NDRG2, we also detected amplification of c-Myc in thyroid cancers, consistent with findings in other cancers [
5,
6].
To examine Ndrg2 at the levels of mRNA and protein, we analyzed a collection of clinical samples, including 35 thyroid cancers and 40 adenomas. Our results showed significantly reduced expression of Ndrg2 in thyroid cancers, indicating the potential involvement of NDRG2 in the processes of thyroid carcinoma formation. Real-time PCR results demonstrated no correlation between NDRG2 expression and the patient's age or gender. There was also no clear difference among the various types of thyroid cancer. A slight decrease in NDRG2 was detected in the thyroid adenoma tissues.
Our data indicated there was no correlation between Ndrg2 and the metastasis of thyroid cancers. This result was similar to the finding of Jung SH in breast cancer [
25]. This group detected an inverse correlation between Ndrg2 expression and breast tumor size, but found no relationship with auxiliary lymph node metastasis. As we did not define the role of Ndrg2 in the metastasis of thyroid cancer, the mechanism of the involvement of Ndrg2 in cancer needs to be more thoroughly examined in future studies.
We initially identified human
NDRG2 as a candidate tumor suppressor gene [
10]. We found that the expression of
NDRG2 was significantly reduced in human glioblastoma tissues. Although the slight decrease of
NDRG2 expression in thyroid adenomas was not significant, it suggests that
NDRG2 might be involved in mediating the progression from thyroid adenoma to carcinoma. Furthermore,
NDRG2 expression increased following the differentiation of colon and dendritic cells [
19]. Over-expression of
NDRG2 caused an inhibition of cell proliferation and increased apoptosis in gastric cancer, through Fas-mediated cell death [
26].
NDRG2 may be involved in tumor progression and overall survival of gastric cancer patients.
Whether the down-regulation of NDRG2 in thyroid carcinoma is a cause or a consequence remains presently unclear. Further studies are needed to investigate how NDRG2 is involved in the progression from normal thyroid tissue to thyroid cancer.
Conclusion
In conclusion, the protein and mRNA expression levels of NDRG2 were significantly decreased in thyroid cancers with c-Myc amplification. However, there were no significant correlations of NDRG2 expression with gender, age, the different histotypes of thyroid cancers, or distant metastases. Our data provide novel insight into the important role of NDRG2 in the development of thyroid cancers. Further studies are needed to address whether the down-regulation of NDRG2 is a cause or consequence of the progression from the normal thyroid tissue to a carcinoma.
Acknowledgements
This work was supported by grants from the National Key Basic Research & Development Program of China (No. 2002CB513007), the National High Technology Research and Development Program of China (863 Program) (No. 2006AA02Z194), the Program PCSIRT0459 for Changjiang Scholars and Innovative Research Team in University in China and the National Natural Science Foundation of China (No. 30830054, 30801121, 30700416, No. 30670452, No. 30600314, No. 30570676 and No. 06G092).
We thank Dr. Wugang Hou for help with immunostaining analysis and Dr. Yunming Li for helping with the statistical analysis. We would also like to thank Professor Qing Wang for aiding in manuscript revisions.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
LY, QM and XL conceived the idea of the study. HZ, JZ and QF designed the primers, extracted the RNA and carried out the quantitative RT-PCR. JL, XH and XL collected the thyroid samples. LG, JM and GB were responsible for the immunochemical analysis of the thyroid tumor samples and the tissue array. SC, WL and HS carried out the cell lysis and western blot analysis. CC was responsible for statistical analysis. HZ drafted the manuscript. JZ helped write the manuscript. All authors contributed to interpretation and discussion of the results. They also read and approved the final version.