Abstract
Background
Colorectal cancer (CRC) is one of the three major cancers in the world and is the cancer with the most liver metastasis. The present study aimed to investigate the role of metallothionein 2A (MT2A) in the modulation of CRC cell proliferation and liver metastasis, as well as its molecular mechanisms.
Methods
The expression profile of metallothionein 2A (MT2A) in colorectal cancer retrieved from TCGA, GEO and Oncomine database. The biological effect of MT2A overexpression was investigated mainly involving cell proliferation and migration in CRC cells as well as growth and metastasis in CRC animal models. To explore the specific mechanism of MT2A metastasis in CRC, transcriptome sequencing was used to compare the overall expression difference between the control group and the MT2A overexpression group.
Results
Metallothionein 2A (MT2A) was downregulated in the tumor tissues of patients with CRC compared to adjacent normal tissues and was related to the tumor M stage of patients. MT2A overexpression inhibited CRC cell proliferation and migration in cells, as well as growth and metastasis in CRC animal models. While knockdown of MT2A had the opposite effect in cells. Western blotting confirmed that MT2A overexpression promoted the phosphorylation of MST1, LAST2 and YAP1, thereby inhibiting the Hippo signaling pathway. Additionally, specific inhibitors of MST1/2 inhibited MT2A overexpression-mediated phosphorylation and relieved the inhibition of the Hippo signaling pathway, thus promoting cell proliferation. Immunohistochemistry in subcutaneous grafts and liver metastases further confirmed this result.
Conclusions
Our results suggested that MT2A is involved in CRC growth and liver metastasis. Therefore, MT2A and MST1 may be potential therapeutic targets for patients with CRC, especially those with liver metastases.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12935-022-02623-w.
Keywords: Colorectal cancer, Liver metastasis, Metallothionein, MT2A, Hippo signaling pathway
Background
At present, colorectal cancer (CRC) is one of the three major malignant tumors in the world, accounting for 1 in every 10 cancer patients, and its mortality rate is second only to lung cancer. It is estimated that 1,880,725 new cases of colorectal cancer and 915,880 deaths will occur in 2020 [1]. The rich blood supply of the liver provides an abundant environment for tumor metastases, which is the most common metastatic site of CRC. Approximately 50% of CRC patients have liver metastasis (CRLM) at the time of diagnosis of primary tumors. Liver resection is the preferred treatment for CRLM with a 5-year survival rate of 20–50%, which is location-dependent (liver metastasis on the right side of primary CRC has a worse prognosis than that on the left side), and it is consistent with the invasiveness and poor prognosis mediated by mutation of some genes (for example, BRAF-V600E mutant CRLM with aggressive biological behavior is more likely to occur on the right side of primary CRC) [2]. In addition, only 15–20% of patients with CRLM receive liver resection surgery [3]. Although liver transplantation is another option, it is constrained by strict inclusion and exclusion criteria as well as a shortage of donors and unresolved disputes. Therefore, it is of great clinical significance to explore the mechanism of CRLM and identify promising diagnostic and therapeutic targets for CRLM.
Metallothionein (MT) is a cysteine-rich protein that plays an important role in metal homeostasis, heavy metal toxicity, DNA damage and oxidative stress protection. The abnormal expression of MT genes is observed in a variety of cancers and is associated with tumor formation, metastasis, drug resistance and poor prognosis. Differential expression of specific MT isoforms can be used for the diagnosis and treatment of cancers [4]. For example, MT1E expression is downregulated in hepatocellular carcinoma (HCC), and MT1E induces apoptosis of HCC cells and inhibits metastasis [5]. Similarly, high expression of MTF2 in HCC is closely related to clinical characteristics and prognosis. In vitro experimental results have shown that MTF2 significantly promotes the growth, migration and invasion of HCC cells, and MTF2 overexpression promotes growth and epithelial-mesenchymal transformation by promoting Snail transcription [6]. The expression level of metallothionein 2A (MT2A), also known as MT2, is associated with tumor types. For example, MT2A is downregulated in gastric cancer [7] and is related to the chemotherapy sensitivity of gastric cancer cells to docetaxel [8]. Moreover, MT2A exerts its anti-gastric cancer effect by combining with MZF1 to target NFKBIA [9]. However, MT2A is highly expressed in esophageal squamous cell carcinoma (ESCC) cells and promotes ESCC cell migration and invasion by regulating the expression and secretion of IGFBP2, thus influencing the NFκB, Akt and Erk signaling pathways [10]. Similarly, MT2A depletion is associated with decreased expression of TGF-α and MMP-9, and MT2A silencing reduces the migration and invasion activities of mucoepidermoid carcinoma [11].
In addition, the differential expression of MT2A also depends on tumor differentiation status as well as other environmental stimuli and gene mutations [4]. In CRC, studies have shown that MT2A expression is both upregulated and downregulated [12–14], but the specific role and molecular mechanism of MT2A in CRC remain unclear. To explore the underlying differences, we identified that MT2A was significantly downregulated in CRC in TCGA, GSE and Oncomine databases, and we confirmed this result in 65 pairs of cancer and adjacent tissues in patients with CRC. More importantly, we found that MT2A expression was associated with the tumor M and N phases but not the T phase. Further experiments showed that MT2A overexpression inhibited the proliferation and metastasis of HCT8 and HCT116 cells, and it was confirmed that overexpression of MT2A inhibited liver metastasis in animal models with hepatic metastasis established by subsplenic injection of HCT8 cells. To explore the specific mechanism, transcriptome sequencing was used to compare the overall expression difference of MT2A between the MT2A-overexpressing and control groups, and it was found that MT2A overexpression was significantly correlated with the Hippo signaling pathway. Studies have shown that the key molecules of Hippo signaling, namely, MST1, LATS2 and YAP1, activate and drive cancer cell survival, proliferation, invasive migration and metastasis in a variety of tumors [15]. Our in vitro and in vivo experiments also confirmed that MT2A overexpression promoted the expression of phosphorylated MST1, LATS2 and YAP1, thus inhibiting the Hippo signaling pathway, while XMU-MP-1 (a specific inhibitor of MST1/2) relieved the inhibitory effect of MT2A on Hippo signaling. Our results suggested that the downregulation of MT2A in CRC promotes CRC cell proliferation and liver metastasis through the MST1/LATS2/YAP1 signaling pathway, suggesting that MT2A may be a therapeutic target for CRC, especially CRLM.
Materials and methods
Cell lines and human samples
The HCT8 and HCT116 CRC cell lines were purchased from ZSBIO (China; possessing cell identifications). Both cell lines were cultured with RPMI-1640 supplemented with 10% FBS and placed in an incubator at 5% CO2 and 37 °C. Surgical samples were collected from 65 patients with CRC in the Department of General Surgery of the Second Xiangya Hospital of Central South University. After treatment, the samples were wrapped in paraffin and preserved. This study was approved by the Ethics Committee of The Second Xiangya Hospital of Central South University, and informed consent was obtained from the patients.
RNA extraction and quantitative real-time PCR (qRT–PCR)
Total RNA was extracted using TRIzol according to the manufacturer's instructions, and the concentration of total RNA was measured using a NanoDrop. RNA (1000 ng) from each sample was used for reverse transcription into cDNA using a RevertAid™ First Strand cDNA Synthesis Kit (Thermo Scientific Co., Ltd.) according to the manufacturer’s instructions. Finally, cDNA was mixed with primers and 2X SYBR Green Fast qPCR Mix (ABclonal, Inc.), and the mRNA levels were detected using a qPCR instrument. The relative expression content of the target gene was normalized to GAPDH. The primers spanned exons for each gene. The following primers were purchased from Sangon Biotech Co., Ltd.: MT2A forward, 5′-ATGGATCCCAACTGCTCCTG-3′; MT2A reverse, 5′-AGCAGCAGCTTTTCTTGCAG-3′; GAPDH forward, 5′-GTCAAGGCTGAGAACGGGAA-3′; and GAPDH reverse, 5′-AAATGAGCCCCAGCCTTCTC-3′.
Cell proliferation rate and colony formation
To detect the proliferation ability of cells, the experimental cells of each group were prepared into single-cell suspensions. Cells were seeded into 96-well plates and cultured for the indicated days, and the cell proliferation rate was then determined by a CCK-8 kit (Beyotime). For the colony formation assay, the single-cell suspension was plated on a flat 6-well plate at a density of 2000 cells per well. After implantation, colony formation was monitored using an inverted microscope at 3, 7 and 10 days. After the colony formation experiment was completed, cells were washed with PBS and fixed with 4% paraformaldehyde for 1 h. Cells were washed with PBS, and cells were then stained with crystal violet.
EdU assay
The BeyoClick™ EdU Cell Proliferation Kit with DAB (Beyotime Biotechnology Co., Ltd.) was used to detect the proliferation of individual cells. After cells were cultured in 24-well plates for 24 h, they were washed with PBS, and EdU was then added followed by incubation at 37 °C for 2 h. Cells were then washed three times with PBS and permeabilized with 0.25% Triton X-100 (Genview, China). Nuclei were stained with DAPI, and cells were examined with a fluorescence microscope (Olympus Inc., USA).
Transwell assay
To detect the migration ability of cells, MT2A-overexpressing cells and control cells were prepared into single-cell suspensions. Single-cell suspensions were plated in the upper Transwell chamber at a density of 5 × 104 or 1 × 104 cells per well as indicated, and 500 μL of medium containing 10% fetal bovine serum was added to the bottom chamber. After 24 h of culture, cells were fixed with 70% methanol for 1 h and stained with crystal violet. The number of migrating cells was detected by inverted microscopy.
Western blot (WB) assay
Cells overexpressing MT2A and control cells were collected and lysed with RIPA buffer containing protease inhibitors and phosphatase inhibitors for protein extraction. The total protein concentration was determined using a Pierce™ BCA protein assay kit (Thermo Scientific Co., Ltd.). SDS loading buffer (5 ×) was added to the lysis mixture containing 50 μg of total protein and heated at 95 °C for 10 min. Electrophoresis was performed with a 12% or 10% SDS–polyacrylamide gel followed by transfer to a 0.2 μm nitrocellulose membrane. After blocking with 5% bovine serum albumin at room temperature for 1 h, the membrane was incubated with primary antibodies according to the manufacturers’ instructions. The antibodies used for WB analysis are listed in Table 1.
Table 1.
Antibody | Reagent | Product number | Assay |
---|---|---|---|
MT2A Rabbit pAb | Abcam | Ab192385 | WB |
MT2A Rabbit pAb | Abclonal | A2018 | IHC |
MST1 Rabbit pAb | Abclonal | A12963 | WB |
pMST1 Rabbit pAb | CST | 49332 | WB, IHC |
LATS2 Rabbit pAb | Abclonal | A16249 | WB |
pLATS2 Rabbit pAb | Abclonal | AP0904 | WB |
YAP1 Rabbit pAb | Abclonal | A19134 | WB |
pYAP1 Rabbit pAb | CST | 13008 | WB, IHC |
GAPDH Rabbit pAb | Abclonal | Ab9485 | WB |
Hematoxylin–Eosin (H&E) staining
Paraffin sections of liver metastases established by MT2A-overexpressing cells (n = 4) and control cells (n = 4) were prepared and stained with hematoxylin and eosin for 10 and 3 min, respectively. After dehydration with ethanol, the sections of tissue samples were dried and sealed with neutral resin for preservation. Finally, an inverted microscope was used for observation and to acquire images.
Immunohistochemistry (IHC) staining
Paraffin sections of patient samples, subcutaneous grafts and liver metastases established with MT2A-overexpressing cells and control cells were prepared. For patient samples, two pathologists independently scored the MT2A staining, and cases with positive cells ≥ 25% were considered positive whereas other cases were considered negative. When divergence happens, they would discuss it. After treatment with IHC antigen repair solution, endogenous peroxidase and biotin were inactivated by 0.3% hydrogen peroxide for 30 min, and 5% BSA was used for blocking for 30 min. Antibodies were incubated according to the antibody instructions (Table 1) followed by DAB staining for 4 min. Neutral resin was used to seal the sections for preservation. An inverted microscope was used for observation and to obtain images.
MT2A-lentivirus
For overexpression of MT2A in vitro, lentivirus vectors harboring full-length MT2A were designed, and an empty vector was used as the negative control. The lentivirus vectors were purchased from GeneChem Co., Ltd. (China). The multiplicity of infection was 40, and the period was 7 days. The efficiency was verified by qRT-PCR and Western blots.
MT2A siRNA transfection
MT2A siRNA was designed and synthesized by RiboBio (China). Transfection (100 pmol/mL) was performed using Lipofectamine™ RNAiMAX reagent. The efficiency was verified by determining MT2A mRNA expression in HCT8 cells.
Immunofluorescence staining
HCT8 Cells were grown on cover glasses for 24 h. After treated as indicated, cells were fixed, permeabilized, blocking by 3% bovine serum albumin. Then cells were ready to incubate with rabbit anti-YAP1 antibody overnight. The next day, cells were incubated with donkey anti-rabbit Alexa Fluo594 (Invitrogen) for 45 min at 37 °C. Cells were rinsed and mounted on cover glasses with DAPI (Invitrogen). Finally, signal was captured by laser confocal microscopy (Zeiss Inc., Germany).
Subcutaneous graft CRC and liver metastasis models
For the subcutaneous model, MT2A-overexpressing cells and control cells were prepared as single-cell suspensions. Four-week-old female BALB/C nude were selected for this experiment. After the skin of the shoulder and back of nude mice were disinfected with complexing iodine, a suspension containing 2 × 106 cells was injected under the skin to construct a subcutaneously transplanted tumor model. Tumor size was observed and recorded every 5 days, and mice were sacrificed 28 days later.
For the liver metastasis model, anesthetized mice were subjected to a laparotomy. A cell suspension containing 2 × 106 cells was then injected under the capsule of the lower pole of the spleen, and the incision was sutured. After 4 weeks, the nude mice were sacrificed, and the number of metastatic nodules on the surface and inside of the liver were counted by the naked eye and microscope, respectively, and the metastatic nodules were confirmed by H&E staining.
Transcriptome sequencing
RNA samples were extracted from MT2A-overexpressing cells and control cells and sent to Novogene, China, for quality inspection and transcriptome sequencing. The sequencing libraries were generated using the NEBNext® Ultra™ RNA Library Prep Kit. R Studio software was used for differential expression analysis and GSEA of the normalized sequencing data.
Human phospho-kinase array
A Proteome Profiler™ Array Human Phosphokinase Array Kit (RnDSystems, America) was used to detect protein phosphorylation levels according to product specifications. After the membranes were washed with blocking buffer, cell lysate was added and incubated at 4 °C overnight. Membranes were washed three times with PBS, and the membranes were then incubated with the antibody cocktail at room temperature for 2 h. After washing the membranes, streptavidin-HRP was added and incubated for 30 min. After washing again, Chemi Reagent Mix was used to expose the membranes. The membrane was divided into two parts to improve sensitivity and reduce cross-reaction.
Statistical analysis
All statistical analyses were performed using Prism software (GraphPad Prism 8). A two-tailed Student’s t test was used to assess significant differences between two groups. For three or more groups, one-way ANOVA was used. The expression of MT2A with clinical factors was analyzing using χ2 test or Fisher’s exact test, as appropriate. We used mean and SEM for description of in vitro data, and mean and SD for in vivo data. P values less than 0.05 were considered statistically significant.
Results
MT2A is downregulated in CRC and correlates with clinicopathological characteristics
To examine the expression of MT2A in CRC samples, we retrieved data from TCGA and GSE datasets as well as the Oncomine database. Four GSE datasets (GSE8671, GSE24514, GSE32323 and GSE126095) were selected to examine the differentially expressed genes between primary tumor and normal colorectal tissues. Using a cutoff of p < 0.01 and |log2fold change|> 1, 225 genes were commonly varied in these datasets (Fig. 1A). Two datasets (GSE28702 and GSE81558) were then selected to compare the differentiated genes between primary and liver metastasis tissues, resulting in 342 genes (Fig. 1B). The MCODE plug-in APP of Cytoscape was used to select the significant module in the protein–protein interaction (PPI) network and generate the most likely potential function cluster, which comprised 5 genes, including MT2A (Fig. 1C). To further verify the expression of MT2A in CRC, TCGA data were used and analyzed by UALCAN online tool (http://ualcan.path.uab.edu), and significant downregulation of MT2A was observed in both colon cancer and rectal cancer (Fig. 1D, E). In addition, five Oncomine datasets showed the same trend of MT2A expression in CRC (Fig. 1F). Regarding prognosis, lower expression indicated an improved survival of CRC patients (Fig. 1G). These results showed that MT2A is significantly downregulated in CRC tissues.
To explore the clinicopathological characteristics of MT2A, we examined the expression of MT2A in our clinical samples. Sixty-five pairs of CRC samples involving cancer tissue and paracancerous tissue were collected and examined by IHC (Fig. 2A). Consistent with the aforementioned data, MT2A was significantly downregulated in cancer tissues compared to paracancerous tissues (Fig. 2B). We divided the patients into subtypes by clinicopathological characteristics. Our data showed that the expression of MT2A was not associated with T stage and TNM stage but was associated with M stage, and N stage in CRC patients (Fig. 2C–F). Thus, these results showed that MT2A is downregulated in CRC tissues and correlates with certain clinicopathological characteristics.
MT2A inhibits cell proliferation and migration of CRC cells
To explore the function of MT2A in CRC cells, we used a lentiviral vector to overexpress MT2A in HCT8 and HCT116 cells. qRT–PCR and Western blot assays confirmed that MT2A was successfully overexpressed by lentivirus in both cell lines (Fig. 3A). As shown by the EdU assay, overexpression of MT2A significantly inhibited cell proliferation in both cell lines (Fig. 3B). Cell cycle distribution detected by flow cytometry showed that MT2A overexpression blocked cell cycle at G0G1 stage (Fig. 3C). Western blot showed that cyclin D1, a key cell cycle player regulating G1/S transition, was obviously inhibited by MT2A in both cells (Additional file 1: Figure S1A). To further demonstrate it, we used siRNA to knockdown MT2A in HCT8 which expressed high level of MT2A. Knockdown efficiency was verified by qRT-PCR (Additional file 1: Figure S1B). Cell cycle analysis showed that knockdown of MT2A improved cell cycle compared to negative control (Fig. 3D). Colony formation assay showed that overexpression of MT2A significantly inhibited the colony formation ability of HCT8 and HCT116 cells (Fig. 3E). Because the clinicopathological analysis indicated that higher expression of MT2A correlated with lower metastasis, we used a Transwell assay to examine whether MT2A influences the migration of CRC cells in vitro. The results showed that fewer cells migrated through the permeable membrane in the MT2A overexpression group than in the control group (Fig. 3F, G). Additionally, inhibition of MT2A improved migration of HCT8 cells (Fig. 3H). Thus, these data collectively demonstrated that MT2A inhibits the proliferation and migration of CRC cells in vitro.
Overexpression of MT2A inhibits cell growth and liver metastasis of CRC cells in vivo
To verify the in vitro results, HCT8 cells were subcutaneously injected into nude mice, which were examined for 4 weeks. The tumor sizes were measured every 5 days, and the mice were sacrificed at Day 28 (Fig. 4A). The tumor size of MT2A-overexpressing cells was significantly smaller than that of control cells (Fig. 4B). Ki67 staining was used to evaluate cell growth in vivo, and the results showed that MT2A overexpression significantly inhibited Ki67 staining in subcutaneous tumors (Fig. 4C). These results demonstrated that overexpression of MT2A significantly delays tumor growth in vivo.
Because lower expression of MT2A correlated with M stage and N stage, we next examined whether MT2A influences liver metastasis of CRC cells. A liver metastasis model was established by injection of HCT8 cells (2 × 106 cells) under the spleen envelope. After 4 weeks, the mice were sacrificed, and the livers were collected. Metastatic tumors were established in the liver, and a reduced tumor size was observed in cells transfected with MT2A lentivirus compared to control cells (Fig. 4D). H&E staining of the liver showed that more liver tissue was inundated with metastases from control cells compared to MT2A-overexpressing cells (Fig. 4E). These results demonstrated that overexpression of MT2A inhibits liver metastasis of CRC cells. Collectively, these data showed that overexpression of MT2A inhibits cell growth and liver metastasis of CRC cells in vivo.
MT2A promotes Hippo signaling in CRC cells
To explore the underlying mechanism of MT2A in CRC cells, we used transcriptome sequencing to compare the overall expression differences between the MT2A overexpression and control groups in HCT8 and HCT116 cells. The heatmap showed that overexpression of MT2A led to many genes with dysregulated expression (Fig. 5A). Overexpression of MT2A in both cell lines resulted in 93 upregulated genes and 13 downregulated genes according to a cutoff of p < 0.05 and |log2fold change|> 2 (Fig. 5B). Gene set enrichment analysis (GSEA) analysis showed that overexpression of MT2A significantly correlated with Hippo signaling in CRC cells (Fig. 5C). The core components of Hippo signaling include Mst1/2 (Hippo in Drosophila), which phosphorylates LATS1/2 (Warts), leading to the phosphorylation of the YAP and TAZ transcription cofactors. To screen the core phosphokinases regulated by MT2A, we used a Proteome Profiler Array to identify the key variations in phosphokinases after transfection of MT2A. Interestingly, we found that overexpression of MT2A increased the expression of phospho-MST1/2 (Fig. 5D). As the functions of MST1 and MST2 or LATS1 and LATS2 were comparable in Hippo signaling, we only examined MST1 and LATS2 in the following study. Western blot assays confirmed that phospho-MST1 was activated by MT2A in HCT8 cells and HCT116 cells, and as expected, phospho-LATS2 was also increased by overexpression of MT2A, leading to activation of YAP1 (Fig. 5E). Normally, Hippo pathway is inactive, YAP is unphosphorylated and localized in the nucleus. To verify that whether MT2A inhibited the nucleus location of YAP, we used immunofluorescence staining of YAP in HCT8 cells. The result showed that MT2A overexpression could obviously inhibit nucleus location of YAP1 (Fig. 5F). In addition, the expression of TEA Domain transcription factor, such as TEAD1 or TEAD2, which are the key transcription factors of Hippo signaling, were not influenced by MT2A overexpression (Additional file 1: Figure S1C, D). Thus, our data demonstrated that overexpression of MT2A promotes phospho-MST1 and LATS2, resulting in inhibition of YAP1 in CRC cells.
Inhibition of MST1/2 rescues the effect of MT2A on CRC cells
To examine whether inhibition of Hippo signaling rescues the effect of MT2A on CRC cells, we used XMU-MP-1, a specific inhibitor of MST1/2, to inhibit the phosphorylation of MST1/2. p-MST1 was obviously inhibited by it in HCT8 and HCT116 cell in control group and MT2A overexpression group (Fig. 6A and Additional file 1: Figure S1E). Our results showed that treatment with XMU-MP-1 promoted colony formation in HCT8 and HCT116 cells, which was consistent with previous reports (Fig. 6C, D). Importantly, XMU-MP-1 largely attenuated the effect of MT2A on colony formation and cell proliferation in HCT8 and HCT116 cells (Fig. 6D, E). Thus, these data demonstrated that inhibition of MST1/2 rescues the effect of MT2A on CRC cells.
To verify that the Hippo/YAP1 axis was also regulated by MT2A in vivo, we examined the expression of MST1, YAP1 and MT2A in animal samples. In the subcutaneous tumor samples, IHC staining showed that overexpression of MT2A promoted the expression of phosphorylated MST1 and YAP1 compared to the control (Fig. 6F). A similar result was found in liver metastasis samples, in which MT2A overexpression increased the phosphorylation levels of MST1 and YAP1 compared to the control (Fig. 6G). Thus, these results demonstrated that phosphor-MST1/YAP1 is positively associated with MT2A and that inhibition of phosphor-MST1 by pharmacological methods largely rescues the effect of MT2A in CRC cells.
Discussion
Colorectal cancer, as one of the deadliest cancers, is the most common malignant tumor with liver metastasis and a poor prognosis. Some CRC patients have liver metastasis at the time of diagnosis, preventing the ability to treat CRC with surgery. Therefore, it is of great significance to explore the mechanism of liver metastasis of CRC. Increasing evidence indicates that metallothioneins play an important role in tumor growth, differentiation, angiogenesis, metastasis, microenvironmental remodeling, immune escape and drug resistance, and they have potential as biomarkers for tumor diagnosis and prognosis. There are four main isomers of MTs, including MT1, MT2, MT3 and MT4. Among them, the role of MT2 in colorectal cancer has not been widely studied. First, we found that MT2A was downregulated in colorectal cancer using TCGA, GSE and Oncomine databases. These findings were verified in 65 pairs of cancer and adjacent tissues in patients with CRC. These results were consistent with those reported by Meng et al. [16] and Arriaga et al. [13]. However, other studies have shown that MT2A is upregulated in human colorectal adenocarcinoma HT29 cells [12], and the interaction between pFADD and MT2A inhibits the apoptosis of Colo 205 cells and induces cell proliferation [14]. There is a complex relationship between MTs and cancers. For example, MT2A is upregulated in osteosarcoma, breast cancer and prostate cancer [17–19], with carcinogenic roles, while it is downregulated in gastric carcinoma, hepatoma and lung cancer [20–22], with cancer suppression roles. Moreover, MT2A expression is controversial in lung cancer. A recent study has found that high expression of MT2A is associated with poor prognosis of lung adenocarcinoma [23]. However, a previous study has found that MT2A expression levels in lung cancer tissues are significantly downregulated compared to paracancerous tissues [21]. In addition, another study has demonstrated that the upregulation of MT2A is associated with poor survival in patients with non-small-cell lung cancer [24]. These results suggest that the expression of MTs is related to multiple factors, such as different tumor types, tumor differentiation status, environmental stimulation and gene mutation.
In patients with CRLM, the content of MTs in liver metastases is significantly lower than that in surrounding normal liver tissues [25]. Immunohistochemistry has been used to detect the expression of MT in 117 cases with CRLM; and the results showed that there were 103 negative cases and 14 low or moderate cases, while peripheral hepatocytes and stromal cells were positive [26]. The present study showed that the MT2A expression level in colorectal cancer was correlated with tumor M stage. Subsequently, MT2A overexpression inhibited the proliferation and metastasis of human colorectal adenocarcinoma HCT8 and HCT116 cells in vitro. Animal models with liver CRLM also confirmed that overexpression of MT2A inhibited liver metastasis. At present, the specific mechanism by which MT2A affects liver metastasis of CRC is not clear. Transcriptome sequencing was used to detect differentially expressed genes in MT2A-overexpressing cells and control cells, and the results showed that MT2A overexpression was significantly correlated with the Hippo signaling pathway.
The Hippo pathway is dysregulated in a variety of tumors, including CRC, and it affects a variety of phenotypes through direct and indirect effects, such as cell proliferation, metabolic reprogramming, angiogenesis, invasion, metastasis, cancer stem cells, inflammation and immunosuppression [27]. Many studies have confirmed the role of the Hippo signaling pathway in colorectal cancer metastasis, and the specific mechanism, for instance, may be that upregulated SCRIB expression promotes YAP phosphorylation, thereby inhibiting the Hippo pathway [28]. USP2-AS1 decreases phosphorylated YAP and increases the total level of YAP1, promoting the proliferation and metastasis of CRC cells [29]. Moreover, downregulation of RASAL2 promotes YAP1 phosphorylation, cytoplasmic retention and ubiquitination, thereby activating the Hippo pathway through the LATS2/YAP1 axis and playing a role in the development and metastasis of CRC [30]. In the present study, increased expression of phosphorylated Mst1, LATS2 and YAP1 was observed in CRC cells overexpressing MT2A, and similar results were also observed in subcutaneous CRC tumor and liver metastasis tissues overexpressing MT2A according to immunohistochemical staining. The specific inhibitor of MST1/2 (XMU-MP-1) inhibited the MT2A overexpression-induced phosphorylation of MST1, LATS2 and YAP1, thus removing the inhibition of the Hippo pathway. In summary, our study found that MT2A is expressed at low levels in CRC and correlates with M stage, and we demonstrated that MT2A mediates CRC cell proliferation and liver metastasis through the MST1/LATS2/YAP1 signaling pathway (Fig. 7). Although the MT2A expression level in CRC may be related to tumor heterogeneity and further studies are needed to explore the reasons for this phenomenon, our results suggested that MT2A is a promising therapeutic target for colorectal cancer.
Supplementary Information
Acknowledgements
Not applicable.
Author contributions
LX, QJ, SZL contributed equally to this work. ZZQ and DXY conceptualized the idea and launched the study. LX, QJ, SZL carried out the experiments and drafted the paper. CZZ, LL, LXR and HG edited the work. ZZQ and DXY reviewed and revised the manuscript. All authors have read and approved the final manuscript.
Funding
Not applicable.
Availability of data and materials
All datasets presented in this study are included in the article/additional files.
Declarations
Ethics approval and consent to participate
The experiment involving human and animal were approved by the Ethics Committee of Central South University.
Consent for publication
We make sure that the article and related data is absolutely original.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Xi Liu, Jun Quan and Zhaolong Shen contributed equally to this work
Contributor Information
Zequn Zhang, Email: zhangzequn@csu.edu.cn.
Xiaofeng Deng, Email: dengxiaofeng@csu.edu.cn.
References
- 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
- 2.Tsilimigras DI, Brodt P, Clavien P-A, Muschel RJ, D'Angelica MI, Endo I, et al. Liver metastases. Nat Rev Dis Primers. 2021;7(1):27. doi: 10.1038/s41572-021-00261-6. [DOI] [PubMed] [Google Scholar]
- 3.Datta J, Narayan RR, Kemeny NE, D'Angelica MI. Role of hepatic artery infusion chemotherapy in treatment of initially unresectable colorectal liver metastases: a review. JAMA Surg. 2019;154(8):768–776. doi: 10.1001/jamasurg.2019.1694. [DOI] [PubMed] [Google Scholar]
- 4.Si M, Lang J. The roles of metallothioneins in carcinogenesis. J Hematol OncolJ Hematol Oncol. 2018;11(1):107. doi: 10.1186/s13045-018-0645-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Liu Q, Lu F, Chen Z. Identification of MT1E as a novel tumor suppressor in hepatocellular carcinoma. Pathol Res Pract. 2020;216(11):153213. doi: 10.1016/j.prp.2020.153213. [DOI] [PubMed] [Google Scholar]
- 6.Wu T-T, Cai J, Tian Y-H, Chen J-F, Cheng Z-L, Pu C-S, et al. MTF2 induces epithelial-mesenchymal transition and progression of hepatocellular carcinoma by transcriptionally activating snail. Onco Targets Ther. 2019;12:11207–11220. doi: 10.2147/OTT.S226119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pan Y, Lin S, Xing R, Zhu M, Lin B, Cui J, et al. Epigenetic upregulation of metallothionein 2A by diallyl trisulfide enhances chemosensitivity of human gastric cancer cells to docetaxel through attenuating NF-κB activation. Antioxid Redox Signal. 2016;24(15):839–854. doi: 10.1089/ars.2014.6128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Liu X, Jiao T, Wang Y, Su W, Tang Z, Han C. Long non-coding RNA GAS5 acts as a molecular sponge to regulate miR-23a in gastric cancer. Minerva Med. 2016 doi: 10.3892/mmr.2015.4503. [DOI] [PubMed] [Google Scholar]
- 9.Lin S, Wang X, Pan Y, Tian R, Lin B, Jiang G, et al. Transcription factor myeloid zinc-finger 1 suppresses human gastric carcinogenesis by interacting with metallothionein 2A. Clin Cancer Res. 2019;25(3):1050–1062. doi: 10.1158/1078-0432.CCR-18-1281. [DOI] [PubMed] [Google Scholar]
- 10.Shimizu M, Koma Y-I, Sakamoto H, Tsukamoto S, Kitamura Y, Urakami S, et al. Metallothionein 2A expression in cancer-associated fibroblasts and cancer cells promotes esophageal squamous cell carcinoma progression. Cancers. 2021 doi: 10.3390/cancers13184552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Aquime JRHS, Zampieri LCDAP, da Kataoka MSS, Ribeiro NAB, Jaeger RG, da Silva AL, et al. Metallothionein expression and its influence on the in vitro biological behavior of mucoepidermoid carcinoma. Cells. 2020 doi: 10.3390/cells9010157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fűri I, Kalmár A, Wichmann B, Spisák S, Schöller A, Barták B, et al. Cell free DNA of tumor origin induces a ‘metastatic’ expression profile in HT-29 cancer cell line. PLoS ONE. 2015;10(7):e0131699. doi: 10.1371/journal.pone.0131699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Arriaga JM, Levy EM, Bravo AI, Bayo SM, Amat M, Aris M, et al. Metallothionein expression in colorectal cancer: relevance of different isoforms for tumor progression and patient survival. Hum Pathol. 2012;43(2):197–208. doi: 10.1016/j.humpath.2011.04.015. [DOI] [PubMed] [Google Scholar]
- 14.Marikar FMMT, Jin G, Sheng W, Ma D, Hua Z. Metallothionein 2A an interactive protein linking phosphorylated FADD to NF-κB pathway leads to colorectal cancer formation. Chin Clin Oncol. 2016;5(6):76. doi: 10.21037/cco.2016.11.03. [DOI] [PubMed] [Google Scholar]
- 15.Thompson BJ. YAP/TAZ: drivers of tumor growth, metastasis, and resistance to therapy. BioEssays. 2020;42(5):e1900162. doi: 10.1002/bies.201900162. [DOI] [PubMed] [Google Scholar]
- 16.Meng J, Su R, Liao Y, Li Y, Li L. Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis. PeerJ. 2020;8:e9633. doi: 10.7717/peerj.9633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zaman MS, Barman SK, Corley SM, Wilkins MR, Malladi CS, Wu MJ. Transcriptomic insights into the zinc homeostasis of MCF-7 breast cancer cells via next-generation RNA sequencing. Metallomics. 2021 doi: 10.1093/mtomcs/mfab026. [DOI] [PubMed] [Google Scholar]
- 18.Habel N, Hamidouche Z, Girault I, Patiño-García A, Lecanda F, Marie PJ, et al. Zinc chelation: a metallothionein 2A's mechanism of action involved in osteosarcoma cell death and chemotherapy resistance. Cell Death Dis. 2013;4:e874. doi: 10.1038/cddis.2013.405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ma D, Zhou Z, Yang B, He Q, Zhang Q, Zhang X-H. Association of molecular biomarkers expression with biochemical recurrence in prostate cancer through tissue microarray immunostaining. Oncol Lett. 2015;10(4):2185–2191. doi: 10.3892/ol.2015.3556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ullio C, Brunk UT, Urani C, Melchioretto P, Bonelli G, Baccino FM, et al. Autophagy of metallothioneins prevents TNF-induced oxidative stress and toxicity in hepatoma cells. Autophagy. 2015;11(12):2184–2198. doi: 10.1080/15548627.2015.1106662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Liang G-Y, Lu S-X, Xu G, Liu X-D, Li J, Zhang D-S. Expression of metallothionein and Nrf2 pathway genes in lung cancer and cancer-surrounding tissues. World J Surg Oncol. 2013;11:199. doi: 10.1186/1477-7819-11-199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tong M, Lu W, Liu H, Wu J, Jiang M, Wang X, et al. Evaluation of MT family isoforms as potential biomarker for predicting progression and prognosis in gastric cancer. Biomed Res Int. 2019;2019:2957821. doi: 10.1155/2019/2957821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Yao B, Wang L, Wang H, Bao J, Li Q, Yu F, et al. Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma. Aging. 2021;13(8):11381–11410. doi: 10.18632/aging.202831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Werynska B, Pula B, Muszczynska-Bernhard B, Gomulkiewicz A, Piotrowska A, Prus R, et al. Metallothionein 1F and 2A overexpression predicts poor outcome of non-small cell lung cancer patients. Exp Mol Pathol. 2013;94(1):301–308. doi: 10.1016/j.yexmp.2012.10.006. [DOI] [PubMed] [Google Scholar]
- 25.Mulder TP, Janssens AR, Verspaget HW, van Hattum J, Lamers CB. Metallothionein concentration in the liver of patients with Wilson’s disease, primary biliary cirrhosis, and liver metastasis of colorectal cancer. J Hepatol. 1992;16(3):346–350. doi: 10.1016/S0168-8278(05)80667-1. [DOI] [PubMed] [Google Scholar]
- 26.Stenram U, Ohlsson B, Tranberg KG. Immunohistochemical expression of metallothionein in resected hepatic primary tumors and colorectal carcinoma metastases. APMIS. 1999;107(4):420–424. doi: 10.1111/j.1699-0463.1999.tb01575.x. [DOI] [PubMed] [Google Scholar]
- 27.Ma S, Meng Z, Chen R, Guan K-L. The Hippo pathway: biology and pathophysiology. Annu Rev Biochem. 2019;88:577–604. doi: 10.1146/annurev-biochem-013118-111829. [DOI] [PubMed] [Google Scholar]
- 28.Shen H, Huang C, Wu J, Li J, Hu T, Wang Z, et al. Promotes proliferation and metastasis by targeting Hippo/YAP signalling in colorectal cancer. Front Cell Dev Biol. 2021;9:656359. doi: 10.3389/fcell.2021.656359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li D, Bao J, Yao J, Li J. lncRNA USP2-AS1 promotes colon cancer progression by modulating Hippo/YAP1 signaling. Am J Transl Res. 2020;12(9):5670–5682. [PMC free article] [PubMed] [Google Scholar]
- 30.Pan Y, Tong JHM, Lung RWM, Kang W, Kwan JSH, Chak WP, et al. RASAL2 promotes tumor progression through LATS2/YAP1 axis of hippo signaling pathway in colorectal cancer. Mol Cancer. 2018;17(1):102. doi: 10.1186/s12943-018-0853-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All datasets presented in this study are included in the article/additional files.