Abstract
Background
Lung adenocarcinoma (LUAD) metastasis significantly reduces patient survival; hence inhibiting the metastatic ability of lung cancer cells will greatly prolong patient survival. Alkaline phosphatase (ALPL), a homodimeric cell surface phosphohydrolase, is reported to play a controversial role in prostate cancer and ovarian cancer cell migration; however, the function of ALPL in LUAD and the related mechanisms remain unclear.
Methods
TCGA database was used to analysis the expression of ALPL, and further verification was performed in a cohort of 36 LUAD samples by qPCR and western blot. Soft-agar assay, transwell assay and lung metastasis assay were employed to detect the function of ALPL in LUAD progression. The qPCR, luciferase promoter reporter assay and western blot were used to clarify the molecular mechanisms of ALPL in promoting metastasis in LUAD.
Results
ALPL was downregulated in LUAD, and the disease-free survival rate of patients with low ALPL was significantly reduced. Further studies showed that overexpression of ALPL in LUAD cell lines did not significantly affect cell proliferation, but it did significantly attenuate lung metastasis in a mouse model. ALPL downregulation in LUAD led to a decrease in the amount of phosphorylated (p)-ERK. Because p-ERK promotes the classical c-Myc degradation pathway, the decrease in p-ERK led to the accumulation of c-Myc and therefore to an increase in RhoA transcription, which enhanced LUAD cell metastasis.
Conclusion
ALPL specially inhibits the metastasis of LUAD cells by affecting the p-ERK/c-Myc/RhoA axis, providing a theoretical basis for the targeted therapy of clinical LUAD.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12935-021-01919-7.
Keywords: ALPL, Lung adenocarcinoma (LUAD), C-Myc degradation, RhoA, Metastasis
Background
According to the Global Cancer Analysis Data for 2020, lung cancer accounts for 11.4% of all cancers and has an overall mortality rate of 18.0%. Its morbidity and mortality rates are the highest of the major cancers [1]. Lung cancer is classified as small cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC) according to the tissue type [2]. NSCLC comprises three main subtypes, lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), and large cell carcinoma. LUAD accounts for approximately 40–50% of NSCLC cases and is thus the main pathological type of lung cancer [3]. Clinically, more than 60% of patients present with later-stage (stage III or IV) disease, which contributes to the poor prognosis of LUAD [3]. Furthermore, the data for 2007–2013 in the USA showed that the 5 year survival rate for lung cancer decreases from 56 to 29% to 5% as the disease progresses from localized to regional and then to distant, respectively [4], indicating that lung cancer metastasis significantly reduces patient survival. Therefore, inhibiting the metastatic ability of lung cancer cells will greatly prolong patient survival.
Studies of the gene encoding alkaline phosphatase (ALPL) are focused mainly on hypophosphatemia. Various mutations in this gene have been shown to affect its activity and cause a decrease in serum ALPL levels, resulting in hypercalcemia and hypokalemia [5]. ALPL plays a crucial role in intracellular signaling and regulation of protein activity [6–8]. Dysfunction of this enzyme is related to the development of multiple diseases, including diabetes mellitus, liver disease, stork and Alzheimer’s disease [9–12]. According to recent reports, ALPL also plays a role in cancer. Rao et al. found that knockdown of ALPL can reduce prostate cancer cell migration [10]. Another study suggested that overexpression of ALPL can inhibit the migration and invasion of HGSOC ovarian cancer cells [13]. Therefore, the function of ALPL in cancer and the related mechanisms remain controversial.
c-Myc is one of the most well-characterized transcription factors in tumors. Analysis of a hybrid of rodent and human Burkitt lymphoma cells revealed the presence of a reciprocal translocation between chromosomes 8 and 14 that disrupted the MYC gene [14], which confirmed that MYC functions as an oncogene in humans [15]. Translocations in MYC occur often in hematopoietic cancers, and it was reported to be the third most frequently amplified gene in human cancers in a whole-genome copy number analysis [16, 17]. Its downstream effector, RhoA, is a member of the Rho family of small GTPases and is a key regulator of actin polymerization and cell migration [18, 19]. It acts as a molecular switch in cellular processes such as cell morphogenesis, adhesion, and migration [20, 21]. The primary function of RhoA is to remodel the actin cytoskeleton during cellular processes such as migration and endocytosis, which also affects the local dynamics of microtubules (MTs) [22]. Thus, RhoA clearly plays an important role in cell migration and invasion [23, 24].
In this study, we revealed a molecular mechanism through which ALPL regulates LUAD invasion and metastasis by affecting the c-Myc/RhoA cascade. These findings provide a theoretical basis for the targeted therapy of clinical LUAD.
Methods
Plasmids and antibodies
The Plvx-GFP plasmid was purchased from Sunny Biotechnology (Shanghai, China). The Plvx-GFP-ALPL expression plasmid was constructed using the following primers: forward: 5′-CCG CTC GAG GCC ACC ATG ATT TCA CCA TTC TTA GTA CTG GCC -3′, reverse: 5′-CCG GAA TTC GGT GAA CAG GAC GCT CAG GGG-3′. The Plvx-GFP-RhoA expression plasmid was constructed using the following primers: forward: 5′-CCG CTC GAG GCC ACC ATG GCT GCC ATC CGG AAG A-3′, reverse: 5′-CCG GAA TTC ACC CAA GAC AAG GCA CCC AGA T-3′. The RhoA promoter-driven luciferase reporter was constructed into PGL3 Basic vector using primers, forward: 5′-CGG GGT ACC ACT TCC TGT ATC CTG TTG TTT GTG T -3′, reverse: 5′-CCC AAG CTT CAA ATG ACA ATG ACA CAG GAC ATA C -3′. The c-Myc plasmid was from our research group [25]. The antibody against ALPL (GTTX100817) was purchased from Genetex (Irvine, CA, USA). The antibodies against RhoA (2117S), ERK1/2 (4695S), and p-ERK1/2 (4370S) were purchased from Cell Signaling Technology (Beverly, MA, USA). The antibodies against c-Myc (sc-764), RhoA (sc-418) and p-c-Myc (sc-377552) were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA). The antibody against GAPDH (GTX100118) was purchased from Genetex. 10X Cell Lysis Buffer (9803) was purchased from Cell Signaling Technology.
Cell culture and transfection
Normal bronchus epithelial cell line Beas-2B and lung cancer cell lines A549, H1975, HCC827, H1299, and SK-MES-1 were purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). All cells were subjected to DNA analysis and authenticated before use in these studies [26]. A549 and SK-MES-1 cells were cultured in F12K (21127-022; Gibco/ThermoFisher Scientific, Waltham, MA, USA) supplemented with 10% fetal bovine serum (FBS) (10437-028; Gibco). H1975 cells were cultured in a 1:1 mixture of DMEM/Ham’s F12 medium (10565-018; Gibco) supplemented with 5% FBS. HCC827 and H1299 cells were cultured in RPMI 1640 (11875-093; Gibco) supplemented with 10% FBS, and Beas-2B cells were cultured in DMEM (11995-065; Gibco) supplemented with 10% FBS. Cell transfections were performed using PolyJet DNA In Vitro Transfection Reagent (SignaGen Laboratories, Rockville, MD, USA) according to the manufacturer's instructions. For stable cell line selection, cells were treated with G418 (500–1000 μg/mL) or puromycin (0.2–0.3 μg/mL) depending on the antibiotic resistance plasmid used. Cells surviving the antibiotic selection were pooled as stable mass transfectants [27].
Reverse transcription-PCR
Total RNA was extracted using TRIzol reagent (Invitrogen/ThermoFisher Scientific) according to the manufacturer’s instructions. Next, 5 μg total RNA was used for first-strand cDNA synthesis with the SuperScript First-Strand Synthesis system and oligo (dT) primers (Invitrogen), as described previously [28].
Quantitative RT-PCR
Fast SYBR Green Master Mix (4385614; Applied Biosystems/ThermoFisher Scientific) was used for real-time PCR with the 7900HT Fast Real-Time PCR system (Applied Biosystems) [29]. The primers used in this study were as follows: human ALPL (forward: 5′- AC CGA GAT ACA AGC ACT CCC ACT-3′, reverse: 5′- CC GTC ACG TTG TTC CTG TTC AG 3′), human RhoA (forward: 5′-ACT ATG TGG CAG ATA TCG AGG TGG A 3′, reverse: 5′- TA TCA GGG CTG TCG ATG GAA AAA C-3′), human c-Myc (forward: 5′-GGA GGA ACA AGA AGA TGA GGA AGA AA -3′, reverse: 5′-TGA GGA CCA GTG GGC TGT GAG G-3′), and human GAPDH (forward: 5′-GAC TCA TGA CCA CAG TCC ATG C-3′, reverse: 5′-CAG GTC AGG TCC ACC ACT GA-3′).
Western blot analysis
Whole cell extracts were prepared in cell lysis buffer [10 mM Tris–HCl (pH 7.4), 1% SDS, and 1 mM Na3VO4]. Western blotting was performed as described previously [27, 30]. Briefly, blots were incubated with primary antibodies diluted 1:500–1:1000 in 5% BSA for 12–16 h at 4 °C, and then incubated with secondary antibody diluted 1:1000–1:2000 in 5% skim milk for 2–3 h at 4 °C. The images were acquired by scanning with the Phosphoimager Typhoon FLA 7000 (GE, Pittsburgh, PA, USA) [27].
Soft-agar assay
The anchorage-independent growth ability of the cells was evaluated in soft agar, as described [30]. Briefly, 3 mL of 0.5% agar (214010; Becton Dickinson) in basal modified Eagle’s medium supplemented with 10% FBS was layered onto each well of 6-well tissue culture plates. Cells (3 × 104) suspended in 1 mL normal medium (B9638; Sigma-Aldrich) were mixed with 2 mL of 0.5% agar in basal modified Eagle’s medium supplemented with 10% FBS, and 1 mL of the mixture was added into each well on top of the 0.5% agar layer. Plates were incubated at 37 °C in 5% CO2 for 3 weeks, and the colonies were counted. The data is presented as the number of colonies/104 cells [30].
Cell migration and invasion assay
Cell migration and invasion were evaluated using kits from BD Falcon. The assay was performed according to the manufacturer’s instructions, as described previously [27, 31]. Briefly, cells were seeded in the inserts in 400 μL serum-free medium. The inserts were placed in wells containing 700 μL medium with 10% FBS and incubated for 24 h. Then, cells on the upper surface of the filters were removed with a cotton swab. The inserts were fixed in methanol and stained with Giemsa, imaged with a microscope, and then the cells were counted. The data shown are representative of three independent experiments [32].
Tube formation assay
Tube formation assay was conducted on HUVECs under the treatment of different LUAD cancer cell culture medium. HUVECs (2.0 × 104 cells) were cultured in the presence of the conditioned medium in 96-well plates coated with Matrigel (50 μL/well, BD Biosciences). After 4 h incubation at 37 °C, tube formation was visualized under light microscope. Capillary length was calculated with Image J software. This assay was carried out in triplicate.
Lung metastasis assay
Female euthymic (nu+ /nu+) mice were purchased from Shanghai Silaike Experimental Animal Company (license no. SCXK, Shanghai 2010 0002; Shanghai, China). At age 4–5 weeks, the mice were randomized and injected with cells [A549 (vector), A549 (ALPL), HCC827 (vector), and HCC827 (ALPL)] via the lateral tail vein (3 × 106 cells in 100 μL PBS/mouse). Detailed experimental methods have been described previously [27].
Luciferase promoter reporter assay
The RhoA luciferase reporter and pRL-TK were each transiently co-transfected into A549 and HCC827 cells. Luciferase activity was determined 24 h after transfection using the Luciferase Assay System (Promega, Madison, WI, USA), as described [27, 33, 34]. The values were normalized to the internal thymidine kinase (TK) signal. All experiments were conducted in triplicate, and the results were expressed as the mean ± standard error [27].
H&E staining
Fixed lung tissues were dehydrated using an alcohol gradient, paraffin-embedded, and then stained with H&E, as described in detail previously [35]. Images were captured using the Nikon Eclipse Ni microsystem (Nikon DS-Ri2; Tokyo, Japan).
Immunohistochemistry (IHC)
IHC assays were performed to detect the expression of ALPL, p-ERK, c-Myc and RhoA in formalin-fixed paraffin-embedded metastatic lung tumor tissues of mice injected with LUAD cells. Specific antibodies against ALPL (GTTX100817, Genetex), p-ERK1/2 (4370S, CST), c-Myc (sc-764, Santa Cruz) and RhoA (sc-418, Santa Cruz) were used for IHC staining, which were performed using a kit from Boster Bio-Engineering Company (SA1022; Wuhan, China). Immunostained images were captured with the Nikon Eclipse Ni microsystem (DS-Ri2) and analyzed with Image-Pro Plus version 6.0 (Media Cybernetics, Rockville, MD, USA) by calculating the integrated optical density (IOD) of each stained area (IOD/area). At least five images per specimen were counted.
Clinical specimens
In total, 36 pairs of human LUAD tissues and corresponding adjacent normal tissues were obtained. The authorized case information is shown in Additional file 1: Table S1. Preoperative biopsy and postoperative pathological examination of the above patients confirmed LUAD. The tissue samples were snap-frozen in liquid nitrogen at the time of surgery, RNA was extracted, and cDNA was synthesized and stored at − 80 °C.
Statistical analysis
All experimental data are expressed as the mean ± standard deviation (mean ± SD). Graphs and statistical analyses were performed using GraphPad Prism 6 (GraphPad Software, San Diego, CA, USA). The Kaplan–Meier method was used to draw the survival curve, and the log-rank test was used to compare the differences between groups. Comparisons between the control group and the experimental group were performed using the Student’s t-test. Correlation between two independent groups were performed using the Pearson’s Chi-square test. P < 0.05 was considered statistically significant.
Results
ALPL is downregulated in LUAD and related to patient prognosis
Analysis of the 58 paired LUAD cases in the Cancer Genome Atlas (TCGA) database revealed significantly lower expression of ALPL mRNA in LAUD tumors compared with matched healthy lung tissues (Fig. 1a). A separate qPCR analysis of 36 fresh LUAD samples and matched healthy tissues revealed significantly lower ALPL expression in tumor tissues, consistent with the results obtained using the TCGA database (Fig. 1b). Furthermore, western blot experiments were performed on 36 paired LUAD samples, and grayscale analysis was used to make statistics. The results showed that compared with matched healthy tissues, the expression of ALPL protein in LUAD tumors was significantly down-regulated (Fig. 1c, Additional file 1: Fig. S1). Most important, a survival analysis of LUAD patients in the TCGA database revealed that patients with low expression of ALPL had a significantly worse prognosis (Fig. 1d). We therefore concluded that ALPL downregulation in LUAD might be an important molecular event for cancer development or progression. Then we examined the protein expression of ALPL in normal lung cells and LUAD cells, and the results showed that the expression of ALPL in LUAD cells was lower than that in normal lung cells (Fig. 1e).
ALPL has no effect on LUAD cell proliferation
To investigate the function of ALPL in LUAD cells, we selected two LUAD cell lines, A549 and HCC827, which have relatively low expression of ALPL, and established cell lines stably overexpressing ALPL (Fig. 2a, b). A human lung squamous cell carcinoma (LUSC) cell line (SK-MES-1) stably overexpressing ALPL was also generated (Additional file 1: Fig. S2a). To assess the effects of ALPL on LUAD cell growth, soft-agar experiments were carried out. ALPL overexpression had no effect on the anchorage-independent growth of LUAD (Fig. 2c–f) or LUSC cells (Additional file 1: Fig. S2b, c).
ALPL significantly inhibits the migration and invasion of LUAD cells, and represses LUAD metastasis in a xenograft model
The prognosis of lung cancer is significantly worse once it has metastasized. Evaluation of the TCGA database revealed higher levels of ALPL in patients with stage I LAUD compared with patients with later-stage disease (II, III, and IV; Additional file 1: Fig. S3). This suggested that ALPL expression may be closely related to LUAD metastasis. To evaluate this, we performed Transwell and wound healing experiments to investigate the effects of ALPL on LUAD cell migration and invasion. ALPL overexpression significantly inhibited the migration and invasion of both A549 and HCC827 cells (Fig. 3a–d, Additional file 1: Fig. S4). By contrast, ALPL overexpression had no effect on the migration or invasion of LUSC cells (SK-MES-1; Additional file 1: Fig. S2d, e). This result may explain the observation that the survival of LUSC patients in the TCGA database was not related to ALPL expression (Additional file 1: Fig. S5). The effect of ALPL on the metastatic capacity of LUAD cells was verified in vivo in a nude mouse xenograft model of lung cancer metastasis. ALPL overexpression significantly reduced the number and size of A549 lung cancer metastases (Fig. 3e–g, Additional file 1: Fig. S6). ALPL overexpression had the same effect in HCC827 cells (Additional file 1: Fig. S7a–c). Moreover, the results of tube formation assay showed that ALPL overexpression also inhibited angiogenesis (Fig. 3h, i). Therefore, in both in vivo and in vitro experiments, ALPL overexpression specially inhibited the migration of LUAD cells.
ALPL inhibits LUAD cell migration by downregulating RhoA
To elucidate the molecular mechanism through which ALPL inhibits LUAD cell migration and invasion, western blot assays were performed to evaluate the expression of molecules related to cell motility. Matrix metalloproteinase (MMP)2 and MMP9 enhance the invasion of cancer cells by degrading type IV collagen [36, 37]. Slug, Snail, E-cadherin, N-cadherin, and β-catenin, which are involved in epithelial-mesenchymal transition (EMT), have also been reported to promote cancer cell migration and invasion [17, 18, 38–43], while RhoA, Cdc42, and Rac1 are members of the Rho family of small GTPases, and are key mediators of actin polymerization and cell migration. These molecules play active roles in cell migration and invasion [22, 44, 45]. RhoA was consistently and significantly downregulated in A549 and HCC827 cells after overexpression of ALPL, while the other molecules were not consistently affected by ALPL expression (Fig. 4a). Therefore, we hypothesized that ALPL inhibited LUAD cell migration by downregulating RhoA expression. To validate this hypothesis, RhoA was stably overexpressed in the ALPL-overexpressing cell lines [A549 (ALPL) and HCC827 (ALPL)], as shown in Fig. 4b and e. Overexpression of RhoA restored the migratory ability of A549 and HCC827 transfectants (Fig. 4c, d and f, g). These findings suggest that ALPL inhibits LUAD cell migration by downregulating RhoA.
ALPL inhibits RhoA transcription by downregulating c-Myc
To further explore the mechanism by which ALPL downregulates RhoA expression, we first conducted a semi-quantitative PCR analysis of the RhoA mRNA level. RhoA mRNA was significantly downregulated in A549 (ALPL) and HCC827 (ALPL) cells by PCR (Fig. 5a) and qPCR (Fig. 5b). These data indicated that ALPL downregulated RhoA expression at the mRNA level. To investigate the mechanism underlying ALPL downregulation of RhoA, we investigated RhoA promoter activity by dual-luciferase reporter assays. As shown in Fig. 5c, RhoA promoter activity was significantly downregulated in both cell lines after ALPL overexpression, indicating that ALPL downregulates RhoA expression by inhibiting its transcription.
To further investigate the effects of ALPL on RhoA transcription, the TFANSFAC Transcription Factor Binding Sites Software (Biological Database, Wolfenbuttel, Germany) was used to predict transcription factors controlling RhoA expression. Transcription factors for which potentially conserved binding sites in the RhoA promoter region were identified included c-Myc, c-Jun, Foxp3, and Sp1 (Fig. 5d). We examined the expression of these potential transcription factors in A549 and HCC827 cells by western blot analysis. c-Myc protein levels were significantly downregulated in A549 (ALPL) and HCC827 (ALPL) cells, while the other molecules showed no signs of consistent downregulation (Fig. 5e). It has been reported that c-Myc directly regulates RhoA transcription [44]. We hypothesized that c-Myc may be a key molecule in the mechanism through which ALPL regulates RhoA transcription. To test this hypothesis, we constructed an A549 (ALPL) stable cell line that expresses c-Myc and found that RhoA protein expression was restored (Fig. 5f). Subsequent qPCR analysis confirmed that RhoA expression was also restored at the mRNA level (Fig. 5g). Dual-luciferase reporter assays also showed that overexpression of c-Myc restored the level of RhoA promoter activity in A549 (ALPL) cells (Fig. 5h). These data suggested that ALPL-downregulated c-Myc expression in LUAD resulted in reduced RhoA expression, which in turn resulted in decreased LUAD cell migration and invasion. To further verify this, we performed three independent Transwell experiments following transfection of A549 (ALPL) cells with c-Myc. The migration and invasion ability of A549 (ALPL) cells was restored following transfection with c-Myc (Fig. 5i, j). These data confirm that ALPL downregulates RhoA by inhibiting the expression of c-Myc, resulting in reduced LUAD cell migration and invasion.
ALPL promotes the degradation of c-Myc by activating ERK
To further explore the mechanism by which ALPL regulates c-Myc, we analyzed c-Myc mRNA levels by qPCR. There were no significant differences in c-Myc mRNA levels in A549 (ALPL) and HCC827 (ALPL) cells compared with the corresponding wild-type cell lines (Fig. 6a), indicating that ALPL does not regulate c-Myc at the transcriptional level. A variety of proteins have been reported to play roles in cancer development by regulating the degradation of c-Myc protein [45, 46]. Therefore, we evaluated c-Myc protein degradation in control A549 and A549 (ALPL) cells. ALPL overexpression significantly enhanced the degradation rate of c-Myc protein (Fig. 6b), indicating that ALPL downregulates c-Myc expression by enhancing its degradation. It has been reported that degradation of c-Myc usually occurs via classical ubiquitin-dependent degradation pathways, in which ERK- and GSK-3-mediated phosphorylation of c-Myc at Ser62 and Thr58 tags it for degradation [47, 48]. To confirm that ALPL degradation of c-Myc is ubiquitin-dependent, we investigated the effects of the proteasome inhibitor MG132 on c-Myc levels and phosphorylation in control A549 and A549 (ALPL) cells. After treatment with MG132, c-Myc accumulated in both the control A549 and A549 (ALPL) cells, with no significant difference between the two cell lines. However, levels of p–c-Myc (Thr58/Ser62) were much higher in A549 (ALPL) cells than in control cells (Fig. 6c). These results suggested that ALPL accelerated the degradation of c-Myc by promoting its phosphorylation at Thr58 and Ser62, resulting in ubiquitin-dependent degradation.
To determine whether c-Myc phosphorylation at Thr58 and Ser62 was mediated by ERK or GSK-3, we analyzed the expression of ERK1/2, GSK-3β, p-ERK1/2, and p-GSK-3α/β (Ser21/9) in both A549 (ALPL) and HCC827 (ALPL) cells (Fig. 6d). Western blot analysis showed that p-ERK and p-GSK-3β (Ser9) were significantly up-regulated in A549 (ALPL) and HCC827 (ALPL) cells, while the other molecules were not significantly affected by ALPL overexpression. GSK-3 activity is significantly inhibited after phosphorylation at Ser9; therefore, we further speculated that ALPL accelerated the degradation of c-Myc by activating ERK1/2, resulting in the increase in p-c-Myc (Thr58/Ser62). To test this hypothesis, A549 (ALPL) cells were treated with the p-ERK inhibitor PD-98059. Phosphorylation of ERK was almost completely inhibited in the PD-98059-treated cells, while c-Myc expression increased and the p-c-Myc (Thr58/Ser62) level decreased (Fig. 6e). These findings confirmed our hypothesis that ALPL promotes phosphorylation of c-Myc by activating ERK, leading to accelerated c-Myc degradation.
ALPL overexpression increases p-ERK accompanied with c-Myc and RhoA downregulation in metastatic lung tumor tissues of mouse model
To determine whether ALPL exerts a regulatory effect on p-ERK/c-Myc/RhoA in vivo, we assessed the expression of ALPL, p-ERK, c-Myc and RhoA using IHC in metastatic lung tumor tissues of mouse models that are generated with A549 (ALPL) and HCC827 (ALPL) in comparison to A549 (Vector) and HCC827 (Vector), respectively, and found that a remarkable upregulation of p-ERK but c-Myc and RhoA downregulation in metastatic lung tumor tissues of mouse models generated by injection of A549 (ALPL) and HCC827(ALPL) cells (Fig. 7a–d, Additional file 1: Fig. S8a–d). RhoA is positively correlated with c-Myc expression, while c-Myc expression is negatively correlated with p-ERK expression. Collectively, these results demonstrated that ALPL expression downregulated c-Myc by enhancing ERK phosphorylation, leading to a decrease in c-Myc-mediated RhoA protein expression, which eventually suppresses LUAD cell metastasis (Fig. 8).
Discussion
In this study, we show for the first time that ALPL specially inhibits the metastasis of LUAD cells but not LUSC cells. This not only indicates that ALPL plays a unique role in the pathological development of LUAD, but also implicates ALPL as a specific target for inhibiting the metastasis of LUAD. We also show that the inhibitory effects of ALPL on the metastasis of LUAD cells are mediated via the p-ERK/c-Myc/RhoA axis. ERK, c-Myc and RhoA are the genes playing vital roles in tumor metastasis of many cancers including lung cancer. It is of great significance to develop drugs targeting ERK, c-Myc and RhoA for the treatment and prevention of tumor metastasis. Our results showed that ALPL can significantly inhibit the invasion of LUAD cells in vitro and in vivo, which is mediated via the ALPL/p-ERK/c-Myc/RhoA axis. Therefore, our findings provide a theoretical basis for the development of strategies targeting ALPL for the treatment of LUAD.
ALPL is commonly used to evaluate acute liver damage and cholestasis [49]. Studies have also shown that ALPL is associated with hypophosphatemia [5, 50], skeletal development, cardiovascular disease, and acute kidney injury [51–53]. It has been reported that mutations in ALPL affect its ability to cause disease [5]. We did not identify any mutations in ALPL in LUAD using the TCGA database, suggesting that metastasis of LUAD cells is related to inhibition of ALPL expression rather than mutation. LUAD cells also had lower expression of ALPL than normal lung cells. ALPL also plays very different roles in different tumor types. Reduced expression of tumor-derived ALPL inhibited mesenchymal-to-epithelial transition and the migration of advanced prostate cancer [10]. Conversely, ALPL functions as a tumor suppressor gene in meningioma [54] and ovarian cancer [13]. In this study, we show for the first time that ALPL inhibits the metastasis of LUAD cells via the p-ERK1/2-c-Myc-RhoA axis, which extends our understanding of the role of ALPL in cancer development. Although the expression of ALPL is not tissue-specific, the function of ALPL is influenced by its cellular context. ALPL expression is elevated after acute injury of some organs such as the liver and kidneys [49, 53]. Our finding that downregulation of ALPL promotes metastasis of LUAD cells highlights the diverse functions of ALPL in different settings. We further found that ALPL inhibited metastasis of LUAD cells but did not play a similar role in LUSC cells, and this phenomenon deserves further exploration.
In this study, we demonstrated that ALPL enhances ERK phosphorylation; however, previous studies have shown that ALPL downregulates its targets [6]. Lee et al. found that the human dental pulp cells were cultured in osteogenic medium, ALPL and p-ERK were up-regulated, while MKP-1 was downregulated [55]. As a member of the MAP kinase phosphatase (MKP) family, MKP-1 inactivates MAP kinases including ERK1/2 [56], and its degradation can be attenuated by inhibitors of the ubiquitin-directed proteasome complex. We speculate that ALPL may increase ERK phosphorylation by regulating MKP-1, although this remains to be clarified. ERK is a member of the MAPK family and promotes ubiquitin-dependent degradation of c-Myc by phosphorylation [47, 48]. In our study, ALPL increased ERK phosphorylation, resulting in increased phosphorylation of c-Myc, thereby promoting c-Myc degradation. Furthermore, in LUAD cells, c-Myc degradation was reduced because p-ERK was reduced. Previous studies have shown that GSK3 plays a key role in the ubiquitin-dependent degradation of c-Myc [47, 48]. However, our results indicated that p-ERK, not p-GSK3, is the key molecule through which ALPL promotes c-Myc ubiquitination. This finding led us to re-examine the status of p-ERK in the ubiquitin-dependent degradation of c-Myc.
c-Myc promotes RhoA mRNA expression, thereby enhancing the migration and invasion ability of tumor cells [44]. We demonstrate here that ALPL enhances the ubiquitin-dependent degradation of c-Myc by p-ERK. c-Myc is a well-known oncogene [15], and inhibition of c-Myc in cancer is a potential therapeutic strategy. Thus, the ability of ALPL to down-regulate c-Myc may represent a novel approach to cancer treatment. As a member of the Rho family, RhoA plays an important role in cancer cell metastasis [23, 24]. Overexpression of RhoA significantly restored the inhibitory effect of ALPL on LUAD cells metastasis. Our study is the first to show that ALPL reduces the expression of RhoA to inhibit the metastasis of LUAD cells. In summary, ALPL promotes ubiquitin-dependent c-Myc degradation by activating ERK. Reduced c-Myc expression results in reduced RhoA transcription, thereby inhibiting cell migration and invasion. Accordingly, downregulation of ALPL decreased ERK phosphorylation in LUAD, causing an accumulation of c-Myc, which promotes RhoA transcription, leading to increased metastasis of LUAD cells (Fig. 8).
Conclusions
Overall, we evidenced for the first time that ALPL specially inhibits the metastasis of LUAD cells but not LUSC cells, and revealed a molecular mechanism through which ALPL regulates LUAD invasion and metastasis by affecting the p-ERK/c-Myc/RhoA axis. These results implicated ALPL as a specific target for inhibiting the metastasis of LUAD and provided a theoretical basis for the targeted therapy of clinical LUAD.
Supplementary Information
Acknowledgements
We thank participants, specimen donors and research groups who participated in the data set of the TCGA lung cancer data set to contribute to the database construction.
Authors' contributions
LZ, HH and XH conceived and designed the study; ZL, WL, HZ and LL detected the cells′ biological function, performed the qPCR assays, carried out the soft agar and luciferase reporter assays, and conducted the statistical analyses. HZ and WL performed the animal experiments and the IHC staining assays. HZ, LL and QX collected clinical samples. HH, WL, XH and LZ drafted the manuscript. All authors read and approved the final version of the manuscript.
Funding
This work was supported by the National Natural Science Foundation of China (NSFC81872587); Wenzhou Medical University (89219018 and 89219042); Key Project of Science and Technology Innovation Team of Zhejiang Province (2013TD10) and Key Discipline of Zhejiang Province in Medical Technology (First Class, Category A).
Availability of data and materials
Bioinformatics results announced here based on data produced by the TCGA research network (http://cancergenome.nih.gov/). All data generated or analyzed during this study are included in this published article and its supplementary information files.
Declarations
Ethics approval and consent to participate
The Ethics Committee of Wenzhou Medical University approved this study (#2019–086). Animal experiments were performed at the Animal Institute of Wenzhou Medical University according to the protocols approved by the Laboratory Animal Center of Wenzhou Medical University and the Laboratory Animal Ethics Committee of Wenzhou Medical University.
Consent for publication
Not applicable.
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.
Zhefeng Lou, Weiwei Lin and Huirong Zhao contributed equally to this work
Contributor Information
Xing Huang, Email: huangxing66@zju.edu.cn.
Haishan Huang, Email: haishan_333@163.com.
Lingling Zhao, Email: zhaolingling@wmu.edu.cn.
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Associated Data
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Supplementary Materials
Data Availability Statement
Bioinformatics results announced here based on data produced by the TCGA research network (http://cancergenome.nih.gov/). All data generated or analyzed during this study are included in this published article and its supplementary information files.