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Introduction

The high mobility group A1 (HMGA1) belongs to super-family of nonhistone chromatin binding proteins and has two isoforms, HMGA1a and HMGA1b. HMGA1 is an architectural transcription factor and participates in multiple cellular biology processes, including transcriptional regulation, embryogenesis, transformation, cell cycle regulation, differentiation, viral integration, and DNA repair (1–3). Recently, HMGA1 was found to be associated with the occurrence and development of many malignant tumors, including breast (4), pancreas (5), lung (6), ovary (7), colon (8) and thyroid carcinomas (9). HMGA1 is also reported to be associated with high invasion and metastasis of the tumors. It may be a molecular prognostic marker of tumors (10).

Transforming growth factor-β (TGF-β) is reported to exert an essential role on cell proliferation, differentiation, apoptosis, invasion, and cellular microenvironment (11–14). The role of TGF-β in cancer occurrence and development has been extensively studied, and previous studies have shown that TGF-β1 is a tumor suppressor in the early phase of tumor and it becomes a tumor promoting factor during the late stages of cancer (15–17). The TGF-β receptor is composed of type I TGF-β receptors (TβRI) and type II TGF-β receptors (TβRII), and both of them participate in classic TGF-β1 signaling. With the presence of ligand binding, the type II receptors activate the type I receptors and recruit Smad2 and Smad3. Activated Smad2 and Smad3 bind to Smad4, and transfer into the nucleus to regulate gene expression (18). In addition to the classic TGF-β1/Smad pathway, TGF-β1 can also be activated by activating non-Smad pathways, such as the phosphatidylinositol-3 kinase (PI3K), extracellular signal-regulated kinase [ERK, mitogen activated protein kinase (MAPK)], c-Jun NH2 terminal kinase (JNK) and p38 MAPK pathways and Rho GTPases (19). TGF-β1 is generally considered to be a necessary promoter for epithelial-mesenchymal transition (EMT) and EMT is considered to be an important initiator for tumor invasive behavior during cancer progression (20 23).

We aimed to determine the effects of TGF-β1 on the expression of HMGA1 in thyroid cancer cells. To our knowledge, the present study provides the first link between TGF-β1 and HMGA1 in thyroid cancer cells, and revealed that PI3K and ERK signaling are involved in the TGF-β1-induced HMGA1 expression. In addition, matrix metalloproteinase-2 (MMP-2) was also found to be correlated with the invasion induced by HMGA1 in thyroid cancer cells. This study also provided further evidence for the pivotal role of HMGA1 in the progress of thyroid cancer.

Materials and methods

Cell culture

Human thyroid cancer cell line TPC1 and SW579 were purchased from American Type Culture Collection (USA). TPC1 cells were cultured in DMEM medium with 10% fetal bovine serum at 37°C in a humidified atmosphere containing 5% CO2. SW579 cells were cultured in L15 medium supplemented with 10% fetal bovine serum at 37°C in a humidified atmosphere without CO2.

Ethics approval and consent to participate

The ethics approval and consent for the use of human tissue was confirmed by the ethics committee of the First Affiliated Hospital of University of South China.

Reagents

The ERK inhibitor PD98059 (20 µM) and U0126 (25 µM), PI3K inhibitors wortmannin (100 nM) were purchased from Calbiochem Corp. (San Diego, CA, USA). while wortmannin, PD98059 and U0126 were dissolved in 0.1% (vol/vol) dimethyl sulfoxide (DMSO).

Transient transfection and luciferase activity assay

Transient gene delivery was carried out as described previously (24). A luciferase assay kit (Promega) was used to measure the reporter activity according to the manufacturer's instructions. SW579 cells were cultured in serum free medium for 12 h in a 12 well plate. The cells were transfected with the HMGA1 promoter vector containing luciferase or with the control vector, pGL4.1 and after 6 h of transfection, the cells were treated with or without TGF-β1 at the indicated concentration for 12 h. Luciferase activity was normalized by using a Renilla luciferase internal control.

Immunofluorescence

SW579 cells were seeded on a round glass cover placed into a 6-well microtiter plate. The cells treated with TGF-β1 at the indicated concentration were fixed with 4% paraformaldehyde-PBS for 15 min at room temperature, washed with PBS twice and then permeabilized by incubation with 0.1% Triton X-100 for 5 min. The cells were washed twice with PBS again and stained with anti-HMGA1 (1:100; ab4078, Abcam) antibody for 2 h at room temperature. After washing with PBS, each sample was incubated with FITC-conjugated secondary antibodies (Boster, Wuhan, China) for 1 h. The samples were washed with PBS twice and incubated with 4′,6-diamidino-2-phenylindole (DAPI) 15 min. The samples were analyzed under a fluorescence microscope (Olympus, Tokyo, Japan).

RNA isolation and real-time RT-PCR

The SW579 were treated with TGF β1 (0, 1, 2, 5 and 10 ng/ml) for 12 h or wortmannin (100 nM), PD98059 (20 µM) and U0126 (25 µM), and maintained in culture medium for 2 h. Total RNA of SW579 cells was extracted using TRIzol reagent (Invitrogen) and was reverse transcribed into cDNA using the first-strand synthesis kit (Gibco-BRL, Carlsbad, CA, USA). The mRNAs of HMGA1 and GAPDH were amplified with a denaturation step (95°C for 1 min), followed by 35 cycles of denaturation (95°C for 10 sec), annealing and extension (60°C for 20 sec). Results from 3 separate experiments were analyzed, and GAPDH as a reference.

Construction and screening of lentiviral vectors harboring HMGA1-specific siRNA

The siRNA sequences targeting to human HMGA1 gene (GenBank accession no. NM_145901) were selected: Target1: ACTCCAGGAAGGAAACCAA; Target2: AGCGAAGTGCCAACACCTA; and Target3: GCTACCAGCGCCAAATGTT. Three pairs of complementary oligonucleotides were designed, and cloned into a lentivirus-based vector (pGCSIL-GFP, Genechem, Shanghai, China). Lentiviral particles were prepared as previously described (25).

Three lentiviral constructs carrying siRNAs were used to infect SW579 cells at a multiplicity of infection (MOI) of 20 (low MOI) and 40 (high MOI). Three days after infection, GFP expression was measured to calculate the infection efficiency. Five days after infection, cells were harvested for test HMGA1 knockdown efficiency with real-time RT-PCR, and the siRNA with the highest knockdown efficiency was used for subsequent experiments.

Cell proliferation and colony formation assays

Cells were seeded in 96-well plates (2,000 cells/well) and counted using an automated cell counter (Nexcelom Bioscience, Lawrence, MA, USA). For colony formation assay, cells were seeded in 12-well plates (400 cells/well) and cultured for 8 days. Each experiment was repeated in triplicate and performed at least twice.

Cell cycle analysis by flow cytometry

The transfected cells were seeded in 6 well plates at 2×105/well. After the indicated treatments, the cells were harvested by trypsinization and washed with PBS and fixed overnight in ice-cold 75% ethanol at −20°C. The immobilized cells were washed, and dissolved in RNAse, followed by incubation at 37°C for 30 min. Next, cells were stained with propidium iodide (PI) for 30 min. The DNA content of the cells was measured using a BD Accuri C6 flow cytometer (BD Biosciences).

Cell invasion assays

The transfected cells (10,000 cells/well) were resuspended in serum free medium and seeded in the upper chamber of a 24-well Matrigel™ Invasion Chamber (BD Biosciences, San Diego, CA, USA) coated with Matrigel. Cell invasion was calculated as the percentage of total cells that had invaded the bottom chamber containing complete medium with serum.

Scratch-wound assays

Cells were transiently transfected and grown to confluence. The central linear wound area was carefully generated by scratching the cell monolayer with a sterile 200-µl pipette tip, and images were taken after 24 h. Bars represent as the average percentage of wound closure relative to the initial wound area.

Western blot analysis

The lysates of cell or tissue were lysed for 30 min on ice. Soluble proteins (30 µg) were probed with anti-HMGA1 (1:1,000; ab4078, Abcam), anti-E-cadherin antibodies (1:500; #3195, CST) and MMP-2 (1:500; ab37150, Abcam). Loading variations were normalized with GAPDH, and was identified with anti-GAPDH monoclonal Ab.

Tissue microarray and immunohistochemical analysis

IHC staining of the tissue microarray (TH8010a, US Biomax) was performed as detailed in our previous studies (26). The rabbit polyclonal HMGA1 antibody (1:150; ab4078, Abcam) and MMP-2 antibody (1:100; ab37150, Abcam) were used.

Statistical analysis

All experiments were performed in triplicate and the results were expressed as mean ± SD. Statistical analysis was performed using SPSS, version 13.0 (SPSS, Inc., Chicago, IL, USA). Non-parametrically two-tailed Mann-Whitney U test was used to test statistical association between clinicopathological and molecular parameters. P-values <0.05 were considered significant. Spearman's rank correlation coefficients were used to assess the correlation of HMGA1 and MMP-2 expression with clinicopathological parameters.

Results

HMGA1 expression is increased by TGF-β1 in thyroid cancer SW579 cells

It has been shown that TGF-β1 could stimulate the invasion and metastasis of cancer cells. TGF-β1 has high expression in most malignant tumors, and is a necessary factor for cancer initiation and development (27). In this study, we investigated the effects of TGF-β1 on the expression of HMGA1 in thyroid cancer SW579 cell line. As shown in Fig. 1A and B, TGF-β1 elevated the HMGA1 mRNA level in a dose and time-dependent manner in SW579 cells. Immunofluorescence assay revealed that the HMGA1 expression was also enhanced in a dose- and time-dependent manner by TGF-β1 in SW579 cells (Fig. 1C–E). These data indicate that TGF-β1 is a positive regulator of HMGA1 expression in thyroid cancer cells.

Figure 1 TGF-β1 enhances HMGA1 expression in SW579 cells. (A) Real-time PCR analysis of HMGA1 expression induced in SW579 cells by treatment with various concentrations of TGF-β1 for 8 h. (B) Real-time PCR analysis of HMGA1 expression induced by treatment with 5 ng/ml of TGF-β1 for the specified time. (C–E) Immunofluorescence staining of HMGA1 expression induced by treatment with different concentrations of TGF-β1 for 8 h or with 5 ng/ml of TGF-β1 for the specified time in SW579 cells. Fluorescence were gathered and analyzed with a fluorescence microscope (Olympus). *P<0.05, compared to the group not treated with TGF-β1. Scale bar, 50 µm.

TGF-β1 upregulates HMGA1 expression through the PI3K/Akt and ERK pathway

Previous studies have shown that PI3K/Akt and MAPK were involved in the cellular and molecular events of TGF-β1 signaling (28,29). The inhibitors of PI3K/Akt and ERK pathway wortmannin, PD98059 and U0126 were utilized to elucidate the underlying molecular mechanism of TGF-β1-induced HMGA1 expression. As shown in Fig. 2A, TGF-β1-induced HMGA1 mRNA transcription was abrogated by treatment with wortmannin, PD98059 and U0126 in SW579 cells. Immunofluorescence staining showed that wortmannin, PD98059 and U0126 could block the TGF-β1-induced HMGA1 expression in SW579 cells (Fig. 2B and C). These results suggest that PI3K/Akt and ERK pathway are involved in TGF-β1-induced HMGA1 expression in thyroid cancer cells.

Figure 2 TGF-β1 induces HMGA1 expression through PI3K signaling and ERK signaling in SW579 cells. (A) The effects of wortmannin, PD98059 and U0126 on the mRNA expression of HMGA1 induced by treatment with 5 ng/ml of TGF-β1 in SW579 cells. (B and C) The effects of wortmannin, PD98059 and U0126 on the expression of HMGA1 induced by treatment 5 ng/ml with TGF-β1 in SW579 cells. Fluorescence were gathered and analyzed with a fluorescence microscope (Olympus). *P<0.05, compared to the group treated with TGF-β1. Scale bar, 50 µm.

TGF-β1 upregulates HMGA1 expression by enhancing the promoter activity of HMGA1 in thyroid cancer cells

To further elucidate the molecular mechanism of TGF-β1 induced HMGA1 expression, we obtained the HMGA1 promoter sequence from the SW579 cells. It was found that TGF-β1 could enhance the promoter activity of HMGA1 in a dose and time-manner in the SW579 cells (Fig. 3A and B). As shown in Fig. 3C, the increased promoter activity of HMGA1 induced by TGF-β1 was abrogated by treatment with wortmannin, PD98059 and U0126 in SW579 cells. These data suggest that TGF-β1 upregulates HMGA1 expression by enhancing the promoter activity of HMGA1 in thyroid cancer cells.

Figure 3 TGF-β1 enhances the promoter activity of HMGA1 in SW579 cells. (A) The effects of TGF-β1 on HMGA1 promoter activity. HMGA1 promoter, control vectors or pGL4.1 vectors were transfected into SW579 cells, and treated with the indicated concentrations of TGF-β1. (B) The effects of 5 ng/ml TGF-β1 on HMGA1 promoter activity. HMGA1 promoter, control vectors or pGL4.1 vectors were transfected into SW579 cells, and treated with 5 ng/ml TGF-β1 for the indicated time. (C) The effects of 5 ng/ml TGF-β1 on HMGA1 promoter activity with wortmannin (100 nM), PD98059 (20 µM) or U0126 (25 µM) in SW579 cells, *P<0.05. Luciferase activity was normalized by using a Renilla luciferase internal control. Each experiment was repeated in triplicate and performed at least twice.

Lentivirus-mediated HMGA1 knockdown inhibits cell growth in the (least)non-invasive cell line in vitro

We have reported that siRNA mediated HMGA1 silencing in thyroid cancer cells could inhibit the cellular oncogenic characteristics (30). To determine whether lentivirus-mediated HMGA1 knockdown have effect on the cellular oncogenic properties of thyroid cancer, three lentivirus-mediated shRNA targeting HMGA1 gene constructs with different shRNAs (KD1, KD2 and KD3) were used to infect thyroid cancer TPC1 and SW579 cells. The infection efficiencies of these lentiviral vectors were >90% (Fig. 4A and B). Real time RT PCR assay showed that all three constructs, used at high or low MOI, significantly downregulated HMGA1 expression in TPC1 cells (Fig. 4C). The highest knockdown efficiency was obtained by using KD3 (low MOI, 81% relative to the NC group; high MOI, 82%), which was named as HMGA1/GV248RNAi-LV-3.

Figure 4 Identification of the lentiviral vector with the highest knockdown efficiency. (A) Fluorescence microscopy was used to observe the infection efficiency of different lentiviral vectors in TPC1 cells (magnification, x100). a, TPC1 cells without lentiviral infection in the optical microscope (Con group); b, TPC1 cells of Con group in the fluorescence microscope; c, TPC1 cells were infected with negative lentivirus NC/GV248 RNAi-LV (NC group) in the optical microscope; d, TPC1 cells of NC group in the fluorescence microscope; e, TPC1 cells were infected with HMGA1/GV248RNAi-LV#3 RNAi (KD group) at a high MOI in the optical microscope; f, TPC1 cells of KD group at a high MOI in the fluorescence microscope. Scale bar, 50 µm. (B) Fluorescence microscopy examination of the infection efficiencies of different lentiviral vectors in SW579 cells (magnification, x100). The panels are described as similar with that in (A). Scale bar, 50 µm. (C) Relative levels of HMGA1 in SW579 cells infected with different groups of lentiviral particles. Either low or high MOI, HMGA1 expression significantly decreased in SW579 cells infected with different groups of lentiviral particles. The highest knockdown efficiency was obtained using KD3 lentiviral particles. *P<0.05, **P<0.01.

HMGA1/GV248RNAi-LV-3 was transfected into thyroid cancer TPC1 cells and SW579 cells. As shown in Fig. 5A, TPC1 cell proliferation was significantly inhibited in the HMGA1 knockdown group compared with the control group and the NC group at day four (P<0.05), whereas the proliferate capacity of SW579 cells showed no significant difference in the three groups (data not shown). It was found that the number of formed colonies by lentivirus-mediated knockdown of HMGA1 was significantly decreased compared to those in control and NC group (Fig. 5B, P<0.01). The number of formed colonies of SW579 cells have no significant different in the three groups (data not shown). In additions, cell cycle assay analysis showed that the cell populations in the G0–G1 and S phases of TPC1 cells with HMGA1 knockdown markedly increased (Fig. 5C, P<0.01 and P<0.001) and the population of G2-M phases significantly decreased (Fig. 5C, P<0.001). Those results indicated that HMGA1 knockdown inhibits the proliferation capacity in the (least)non-invasive thyroid cancer TPC1 cells, but has no obvious effect on invasive thyroid cancer SW579 cells.

Figure 5 Lentivirus-mediated HMGA1 knockdown inhibited TPC1 cell growth. (A) MTT assay showed that lentivirus-mediated HMGA1 knockdown significantly inhibited thyroid cancer TPC1 cell proliferation (n=3). **P<0.01. (B) Lentivirus-mediated HMGA1 knockdown significantly inhibited thyroid cancer TPC1 cell colony formation (n=3, **P<0.01). (C) The cells in the G0–G1 and S phases significantly increased and the cells in the S phase significantly decreased in lentivirus-mediated HMGA1 knockdown group (**P<0.01; ***P<0.001).

Lentivirus-mediated HMGA1 knockdown inhibits the invasion and migration in SW579 cells

In order to determine whether lentivirus mediated HMGA1 knockdown could affect the invasion of thyroid cancer SW579 cells, we performed the transwell invasion assay and scratch-wound assay. It was shown that the invasion rate and the migration ability of SW579 cells in HMGA1 knockdown group was significantly lower than that in control and NC groups (Fig. 6A and B). In addition, we found that lentivirus mediated knockdown of HMGA1 resulted in downregulation of MMP-2, and upregulation of E-cadherin in SW579 cells (Fig. 6C).

Figure 6 Lentivirus-mediated HMGA1 knockdown inhibited SW579 cell invasion and migration. (A) Lentivirus-mediated HMGA1 knockdown significantly inhibited thyroid cancer SW579 cell invasion. ***P<0.001. (B) Lentivirus-mediated HMGA1 knockdown significantly inhibited thyroid cancer SW579 cell migration, **P<0.01. (C) Western blotting assay showed that lentivirus-mediated HMGA1 knockdown decreased MMP-2 expression, and increased E-cadherin expression in SW579 cells.

HMGA1 correlates with MMP-2 expression in thyroid carcinoma

To further indentify the relationship between HMGA1 and MMP2 in thyroid cancer, we examined the expression of HMGA1 and MMP2 using a tissue microarray (TH8010a, US Biomax), consisting of 70 thyroid cancer cases and 10 normal cases. The clinicopathological data are available in Table I. Statistical analysis showed that the expression of HMGA1 in thyroid carcinoma was not significantly correlated with the clinicopathological parameters of thyroid carcinoma (Table I, P>0.05). HMGA1 and MMP-2 immunostaining of thyroid carcinoma and normal tissue of representative cases are shown in Fig. 7. The immunohistochemistry analysis revealed that HMGA1 was stained in 40.0% in normal thyroid tissue and 98.6% in thyroid tumors (P<0.001, Table II). MMP-2 expressed in 58.6% of thyroid tumors, and completely loss in normal thyroid tissue (P<0.001, Table II). Furthermore, the expression of MMP-2 in papillary carcinoma was also significantly higher than that in follicular carcinoma and undifferentiated carcinoma (Table I, P<0.001). In addition, expression of HMGA1 and MMP-2 was found to be positively correlated in thyroid tumors (Table III, r=0.284, P=0.017).

Figure 7 HMGA1 protein expression correlates with MMP-2 expression in thyroid carcinoma (images in original magnification, x400). (A) Thyroid normal tissue. (B) Thyroid papillary carcinoma. (C) Thyroid follicular carcinoma. (D) Thyroid undifferentiated carcinoma.

Table I Correlation of HMGA1 and MMP-2 expression with clinicopathological parameters in thyroid cancer.

Table I

Correlation of HMGA1 and MMP-2 expression with clinicopathological parameters in thyroid cancer.

	n	HMGA1			P-value	MMP-2				P-value
		−	+	++		−	+	++	+++
Age (years)					0.469					0.312
>50	32	0	11	21		12	5	10	5
≤50	38	1	15	22		17	7	12	2
Gender					0.777					0.113
Male	14	0	5	9		9	1	3	1
Female	56	1	21	34		20	11	19	6
Node metastasis					0.094					0.725
Positive	15	0	3	12		6	4	4	1
Negative	55	1	23	31		23	8	18	6
Tumor size (cm)					0.940					0.117
T2	31	0	11	20		11	4	11	5
T3	23	1	10	12		10	5	6	2
T4	16	0	5	11		8	3	5	0
Tumor types					0.574					<0.001
Papillary	44	1	14	29		11	8	19	6
Follicular	20	0	11	9		14	3	2	1
Undifferentiated	6	1	5	0		4	1	1	0
Stage					0.589					0.977
I	27	1	10	16		13	6	8	0
II	17	0	6	11		2	2	9	4
III	19	0	9	10		10	2	4	3
IV	7	0	1	6		4	2	1	0

Table II Expressions of HMGA1 and MMP-2 in thyroid normal tissue and cancer.

Table II

Expressions of HMGA1 and MMP-2 in thyroid normal tissue and cancer.

	n	HMGA1		P-value	MMP-2		P-value
		Positive	Negative		Positive	Negative
Tissue types				<0.001			<0.001
Normal	10	4	6		0	10
Tumor	70	69	1		41	29

Table III Correlation of HMGA1 and MMP-2 expression in thyroid cancer.

Table III

Correlation of HMGA1 and MMP-2 expression in thyroid cancer.

	n	HMGA1			P-value	Spearman (r)
		−	+	++
MMP 2					0.017	0.284
−	29	1	15	13
+	12	0	4	8
++	22	0	5	17
+++	7	0	2	5

Discussion

HMGA1 plays a carcinogenic role in the initiation and progression of different types of tumors. HMGA1 overexpression promoted pancreatic adenocarcinoma cells Akt activation (31), and its knockdown inhibited breast cancer cell proliferation and migration of immunodeficient mice (32). HMGA1 was able to regulate basal-like breast cancer EMT, and to promote breast cancer metastasis (33). HMGA1 knockdown increased p53 levels, restore normal stem cell properties of colon cancer stem cells (34). HMGA1 is associated with poor clinical outcome in patients with uveal melanomas (35).

TGF-β1 is a ubiquitous cytokine exerting a necessary role in many aspects of cellular behavior, including cell proliferation, differentiation and apoptosis. TGF-β1 is a tumor suppressor in the early phase of tumor and becomes a tumor promoting factor during the late stages of cancer and embryonic development (15–17). This study offers evidence of association between TGF-β1 and HMGA1 in the development of thyroid cancer, and TGF-β1 increased the level of HMGA1 mRNA and protein in thyroid cancer SW579 cells. Since PI3K signaling and ERK signaling have previously been described as two kinds of non-Smad signaling pathways regulating the TGF-β1 signaling pathway (19), we aimed to assess their involvements in the TGF-β1 induced HMGA1 expression. We found that both of them participated in this process, whether PI3K signaling and ERK signaling work in parallel or direct coordination with Smad proteins in TGF-β1 induced HMGA1 expression remains to be further clarified.

With lentivirus-mediated HMGA1 silencing, this study revealed that HMGA1 knockdown could inhibit cellular oncogenic properties of thyroid cancer cells in vitro. Furthermore, the lentivirus-mediated HMGA1 downregulation decreased expression of MMP-2, and increased E-cadherin expression in SW579 cells, indicating the involvement of MMP-2 and E-cadherin in HMGA1 induced cellular invasion. Our previous study also confirmed that the siRNA mediated HMGA1 knockdown can decrease Snail expression, and increase E-cadherin expression, resulting in the suppression of thyroid cancer cell growth and invasion (30). It was reported that HMGA1 overexpression could promote the DNA-damage response, and stimulate Akt activation in colon and thyroid anaplastic carcinoma (36). HMGA1 downregulation by siRNA enhanced transcriptional activity of p53, and increased thyroid cancer apoptosis (37). It was also reported that HMGA1 proteins can inhibit Hand1 promoter activity, and HMGA1 overexpression exerts an important role on HAND1 silencing in differentiated thyroid carcinomas (38). In addition, HMGA1 silencing decreased the expression of vimentin and Snail, increased the expression of E-cadherin in triple-negative breast cancer MDA-MB-231 cells (4). Moreover, our previous study also found that TGF-β1 could upregulate HMGA1 expression through the PI3K/Akt pathway, and HMGA1 enhanced the proliferation and migration ability in breast cancer cells (39), consistent with the results of this study. Those results suggest that HMGA1 may play a necessary role in the progress of thyroid cancer and breast cancer, and it could contribute to the understanding of the molecular basis of solid cancer progression and invasion, opening new perspectives in cancer management and precision therapy.

To further reveal the significance of HMGA1 in clinical prognosis, we used the tissue microarray to detect the expression of HMGA1 in thyroid carcinoma and normal thyroid tissues. We observed that HMGA1 was expressed in thyroid carcinoma more than that in normal thyroid tissues. However, we did not obtain data for the association of HMGA1 expression with node metastasis in this study. The expression level of MMP-2 in thyroid carcinoma was significantly higher than that in normal thyroid tissue. Moreover, MMP-2 expression in thyroid carcinoma is associated with the tumor types, which was not reported previously in other cancers. HMGA1 and MMP-2 are reported to be positively correlated in a subgroups of carcinosarcomas (40), and HMGA1 drives transformation through upregulation of MMP-2 in undifferentiated, large cell carcinoma (41). HMGA1 also upregulates expression of MMP-2 in prostate cancer (42). In addition, HMGA1 promotes cellular invasiveness through PI3K/Akt dependent regulation of MMP-9 activity in pancreatic cancer (43), and induces MMP-13 expression in breast cancer (44), indicating that HMGA1-MMP axis plays an important role in a variety of human cancers. The tissue microarray data revealed a positive correlation between MMP-2 and HMGA1 expression (P=0.017), which was consistent with cellular model results, suggesting that HMGA1 plays an important role in regulating MMP-2 expression in human thyroid cancer. Further clarification of underlying molecular mechanisms will help to understand the role of HMGA1 in TGF-β1 signaling in the progress of thyroid cancer.

In conclusion, the present study established the first link between HMGA1 and TGF-β1 in the regulation of thyroid cancer proliferation and invasion, and provides evidence for the pivotal role of HMGA1 in the progression of thyroid cancer, rending HMGA1 to be potential biological marker for the diagnosis of thyroid cancer.

Abbreviations:

Acknowledgments

This study was supported by projects from the National Natural Science Foundation of China (grant nos. 31200573, 81172542 and 81472608), the Key project of Education Department of Hunan Province (16A189), Natural Science Foundation of Hunan Province (2016JJ4077) and Young Talents Program of the University of South China.

References