REG3A overexpression suppresses gastric cancer cell invasion, proliferation and promotes apoptosis through PI3K/Akt signaling pathway

Abstract

Gastric cancer (GC) is the second most common cause of cancer-related deaths. In recent years some essential factors for resolution were identified, but the clinical trials still lack the effective methods to treat or monitor the disease progression. Regenerating islet-derived 3α (REG3A) is a member of REG protein family. Previous studies have investigated the altered expression of REG3A in various cancers. In this investigtion we aimed at the biological function and the underlying molecular mechanism of REG3A in GC. We found that REG3A was significantly downregulated in GC and closely related with patient prognoses. REG3A overexpression suppressed the invasion and proliferation promoting apoptosis of GC cells. While REG3A knockdown promoted the invasion, and proliferation suppressing apoptosis of GC cells. It was further found that REG3A performed its biological functions mainly through phosphatidylinositol 3 kinase (PI3K)/Akt-GSK3β signaling pathway axis. REG3A may be a promising therapeutic strategy for GC.

Introduction

Gastric cancer (GC) is a heterogeneous disease with two distinct morphological subtypes: gastric intestinal type adenocarcinoma and diffuse gastric adenocarcinoma. Intestinal and diffuse type GC show variable environmental aetiologies, clinical manifestation and genetic background (1,2). Diffuse gastric adenocarcinoma is often seen in female and young individuals, while the intestinal type adenocarcinoma is more often associated with intestinal metaplasia and Helicobacter pylori infection (3). Based on previous studies we know that frequent inactivating mutations in cell adhesion and chromatin remodelling genes exist in addition to TP53 mutations (4,5). Although some essential factors for resolution were identified in recent years, the clinical trials still lack effective methods to treat the disease and reliable biomarkers to monitor its progression (6–9).

Regenerating islet-derived 3 α (REG3A) is a member of REG protein family and also named as human hepatocarcinoma-intestine-pancreas (HIP) or human pancreatitis-associated protein (PAP) (10–12). REG3A is a secreted calcium-dependent lectin protein which is related with pancreatic islet cell regeneration, pancreatic stellate cell activation (PSCs) (13,14) and liver regeneration (15). It has been reported that REG3A plays important roles in a number of human cancers, including GC (16), pancreatic cancer (17–19) and colorectal cancer (20). REG3A also regulates keratinocyte proliferation and differentiation after skin injury (21). However, the exact function of REG3A on GC and the details of the pathways has not been demonstrated.

In this study, we showed that the expression of REG3A was significantly downregulated in GC and closely related with patient prognoses. REG3A could regulate the invasion, proliferation and apoptosis of GC cells through phosphatidylinositol 3 kinase (PI3K)/Akt-GSK3β signaling pathway axis.

Materials and methods

Cell culture

Human GC cell lines, including AGS, BGC-823, HGC-27, MGC-803, MKN-45 and SGC-7901 were purchased from Cell Bank of the Chinese Academy of Sciences. Cells were cultured in RPMI-1640 medium supplemented with 10% (v/v) fetal calf serum and 1% antibiotics at 37°C in a humidified incubator under 5% CO₂ condition.

Clinical samples

Human gastric tumor (19 cases) and normal tissues (15 cases) were obtained from Department of Bone Tumor, Yantai Mountain Hospital. All human materials were obtained with informed consent, and protocols were approved by the ethics review committee of the World Health Organization Collaborating Center for Research in Human Production.

Data mining using TCGA and GEO

REG3A gene expression were analyzed using microarray gene expression datasets deposited in GEO database. A combined filter was applied to display the corresponding datasets. The cancer type was defined as GC and data type was mRNA, and analysis type was cancer versus normal analysis. The expression levels of REG3A gene were read from the displayed bar chart and these data were analyzed by Excel. Further, the gene expression data for GC was downloaded from TCGA. The RNA-seq gene expression data contain log₂-transformed RNA-seq by expectation maximization (RSEM) values summarized at gene level.

Quantitative real-time PCR

Total RNA was extracted using TRIzol reagent, and reverse transcribed through PrimeScript RT-PCR kit (Takara, Dalian, China) according to the protocol. Real-time PCR analyses were performed with SYBR Premix Ex Taq (Takara) on a 7300 Real-time PCR system (Applied Biosystems, Waltham, MA, USA) at the recommended thermal cycling settings: one initial cycle at 95°C for 30 sec followed by 40 cycles of 5 sec at 95°C and 31 sec at 60°C.

Western blotting

Cells were lysed in lysis buffer. Proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) under reducing condition, followed by blocking in phosphate-buffered saline (PBS)/Tween-20 containing 1% BSA. The membrane was incubated with antibodies for REG3A (Abcam, Cambridge, MA, USA), phospho-Akt, total-Akt, phospho-GSK3β, total-GSK3β (all from Cell Signaling Technology, Beverly, MA, USA), glyceraldehyde 3-phosphate dehydrogenase (GAPDH) (Sigma, St. Louis, MO, USA) and species-specific secondary antibodies. Bound secondary antibodies were revealed by Odyssey imaging system (LI-COR Biosciences, Lincoln, NE, USA).

Lentivirus production and cell transduction

Virus packaging was performed in 293T cells after cotransfection of pEZ-lv105 vector (GeneCopoeia, Guangzhou, China) using lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA). viruses were harvested at 48 and 72 h after transfection, and virus titers were determined. Target cells (1×10⁵), including MGC-803 and BGC-823 cells, were infected with 1×10⁶ recombinant lentivirus-transducing units in the presence of 6 µg/ml polybrene (Sigma).

siRNA transfection

Small interfering RNA duplexes for REG3A was produced by GenePharma (Shanghai, China). Transfection steps followed the manufacturer's protocols.

Invasion assays

MGC-803 and BGC-823 cells were detached and resuspended in serum-free DMEM. Approximately 2×10⁴ cells in 0.1 ml were placed in Matrigel (BD Biosciences, Bedford, MA, USA)-coated inserts (Millipore, Billerica, MA, USA) on the 24-well plate. DMEM containing 5% (v/v) fetal bovine serum (FBS) was added to the bottom chamber. Cells were incubated at 37°C and allowed to invade through Matrigel for 48 h. After incubation, filters were fixed and stained with 0.1% (w/v) crystal violet. Non-invading cells were removed using a cotton swab while invading cells on the underside of the filter were counted under a microscope at a magnification, ×200 or ×400. At least five grids per field were counted and the experiments were repeated at least twice.

Apoptosis assays

Per well 5×10⁵ cells were cultured on 12-well plates and serum starved for 48 h at 37°C in a 5% CO₂ atmosphere. After incubation, adherent cells were detached with 0.25% trypsin/0.01% EDTA in 1X PBS. Detached and suspended cells were harvested in complete DMEM medium and centrifuged at 1,000 rpm for 5 min. Each of the cells were washed with 1X PBS and stained with 100 µl binding buffer containing 3.5 µl Annexin v and 3.5 µl propidium iodide (PI). Cells were incubated at room temperature for 15 min and analyzed by flow cytometry (BD Biosciences).

Statistical analysis

Data are presented as the means ± standard error of the mean (SEM). Statistical analyses were performed using SPSS 16.0 for windows (IBM, Chicago, Il, USA). Cumulative survival time was calculated by the Kaplan-Meier method and analyzed by the log-rank test. The Chi-square test, and Student's t-test were used for comparison between groups. values of P<0.05 were considered statistically significant.

Results

REG3A expression is downregulated in GC tissues and closely related with patient prognoses

To determine the expression of REG3A in GC, we analyzed the microarray data from TCGA or GEO datasets. The TCGA dataset showed that the expression level of REG3A was significantly downregulated in GC tissues, compared with normal tissues (Fig. 1A). Further, we collected 19 cases of gastric tumor and 15 cases of normal tissues. By quantitative real-time PCR, we found that the expression level of REG3A was significantly downregulated in GC tissues (Fig. 1B).

Figure 1.

Regenerating islet-derived 3α (REG3A) is downregulated in gastric cancer (GC) tissues and closely related with patient prognoses. (A) The mRNA expression level of REG3A in GC and normal tissues. The data was obtained from TCGA dataset. (B) The mRNA expression level of REG3A in 19 cases gastric tumor and 15 cases of normal tissues. (C) The mRNA expression level of REG3A in gastric intestinal type adenocarcinoma and normal tissues. The data was obtained from GSE13911. (D and E) The mRNA expression level of REG3A in diffuse gastric adenocarcinoma (D) or gastric intestinal type adenocarcinoma tissues (E), compared with normal tissues. The data was obtained from GSE13861. ^**P<0.01. (F) Kaplan-Meier analysis of overall survival (OS) for the expression of REG3A. P=0.004. (G) Kaplan-Meier analysis of disease-free survival (DFS) for the expression of REG3A. P=0.038.

It was further proven in GSE13911 and GSE13861 datasets, in which REG3A expression was downregulated in gastric intestinal type adenocarcinoma or diffuse gastric adenocarcinoma respectively (Fig. 1C–E). We also analyzed the data from KMplot. REG3A expression was closely related with patient prognoses. High REG3A expression was associated with improved overall survival (OS) (P=0.004) or disease-free survival (DFS) (P=0.038) (Fig. 1F and G).

Overexpression of REG3A in GC cells

To further investigate the role of REG3A in GC, we first detected the expression level of REG3A in six GC cell lines. As shown in Fig. 2A, we found that REG3A had low expression levels in MGC-803 and BGC-823 cells. We established stable cell lines transduced by the lentivirus carrying the REG3A gene, designated as Lenti-REG3A, in MGC-803 and BGC-823 cells. The results from real-time PCR and western blotting showed that REG3A was overexpressed in both MGC-803 (Fig. 2B and D) and BGC-823 cells (Fig. 2C and E).

Figure 2.

Overexpression of regenerating islet-derived 3α (REG3A) in MGC-803 and BGC-823 gastric cancer (GC) cells. (A) Expression of REG3A in GC cell lines, including AGS, BGC-823, HGC-27, MGC-803, MKN-45 and SGC-7901 cells. (B and C) The mRNA expression level of REG3A in MGC-803 (B) and BGC-823 (C) GC cells infected with lenti-vector or lenti-REG3A. (D and E) The protein expression level of REG3A in MGC-803 (D) and BGC-823 (E) GC cells infected with lenti-vector or lenti-REG3A. Statistical analysis of REG3A expression in the two groups is shown below. ^**P<0.01.

Overexpression of REG3A reduces the invasion and proliferation of GC cells, while increases the apoptosis of GC cells

We first investigated the role of REG3A in the invasion and apoptosis of GC cells. By Transwell Matrigel invasion assay, we found that REG3A overexpression reduced invasiveness of MGC-803 and BGC-823 cells after 48 h (Fig. 3A and C). Moreover, we found that apoptosis of GC cells was affected by overexpression of REG3A. Apoptosis of GC cells was determined by flow cytometry after the cells were serum starved for 48 h. The results showed that the apoptosis rate was increased by the overexpression of REG3A in MGC-803 and BGC-823 cells (Fig. 3B and D).

Figure 3.

Regenerating islet-derived 3α (REG3A) overexpression suppresses invasion, and proliferation promoting apoptosis of MGC-803 and BGC-823 gastric cancer (GC) cells. (A) Representative quantification of invaded MGC-803 cells infected with lenti-vector or lenti-REG3A. Statistical analysis of invaded MGC-803 cells in the two groups is shown on the right. Scale bars, 100 µm. (B) Flow cytometry analysis of apoptosis of MGC-803 cells infected with lenti-vector or lenti-REG3A. Flow cytometry statistical analysis of apoptotic MGC-803 cells in the two groups is shown on the right. (C) Representative quantification of invaded BGC-823 cells infected with lenti-vector or lenti-REG3A. Statistical analysis of invaded BGC-823 cells in the two groups is shown onthe right. Scale bars, 100 µm. (D) Flow cytometry analysis of apoptosis of BGC-823 cells infected with lenti-vector or lenti-REG3A. Flow cytometry statistical analysis of apoptotic BGC-823 cells in the two groups is shown right. (E) Cell counting kit-8 (CCK-8) assay analysis of MGC-803 cells infected with lenti-vector or lenti-REG3A. (F) CCK-8 assay analysis of BGC-823 cells infected with lenti-vector or lenti-REG3A. ^**P<0.01.

We further investigated the proliferation of GC cells after REG3A overexpression by cell counting kit-8 (CCK-8) proliferation assay. It was found that the proliferation of MGC-803 or BGC-823 cells was significantly reduced by REG3A overexpression at 24, 48 and 72 h time-points (Fig. 3E and F).

Knockdown of REG3A promotes the invasion and proliferation of GC cells, while suppresses apoptosis of GC cells

LMO3 had relative high expression levels in HGC-27 and SGC-7901 cells (Fig. 2A). So we selected HGC-27 and SGC-7901 cells and knocked out REG3A by using siRNA (labeled as si-REG3A-1 and si-REG3A-2). Through real-time PCR and western blotting analysis we found that REG3A was successfully silenced in HGC-27 (Fig. 4A and C) and SGC-7901 cells (Fig. 4B and D).

Figure 4.

The regenerating islet-derived 3α (REG3A) knockdown promotes invasion, and proliferation suppressing apoptosis of HGC-27 and SGC-7901 gastric cancer (GC) cells. (A and B) The mRNA expression level of REG3A in HGC-27 (B) and SGC-7901 (C) cells, which were infected with siRNA of REG3A. (C and D) The protein expression level of REG3A in HGC-27 (D) and SGC-7901 (E) cells, infected with siRNA of REG3A. Statistical analysis of REG3A expression in the two groups is shown below. (E) Representative quantification of invaded HGC-27 cells, and flow cytometry analysis of apoptotic HGC-27 cells infected with siRNA of REG3A. (F) Representative quantification of invaded SGC-7901 cells, and flow cytometry analysis of apoptotic SGC-7901 cells infected with siRNA of REG3A. (G) Cell counting kit-8 (CCK-8) assay analysis of HGC-27 cells infected with siRNA of REG3A. (H) CCK-8 assay analysis of SGC-7901 cells infected with siRNA of REG3A. ^*P<0.05 and ^**P<0.01.

By Transwell Matrigel invasion assay and flow cytometry analysis, we found that knockdown of REG3A promoted the invasiveness and suppressed the apoptosis of HGC-27 (Fig. 4E) and SGC-7901 (Fig. 4F) cells after 48 h. Further, by CCK-8 cell viability assay, we found that the cell viability of HGC-27 and SGC-7901 cells was significantly increased by knockdown of REG3A at 24, 48 and 72 h time-points respectively (Fig. 4G and H).

The effects of REG3A on GC cells are dependent on PI3K/Akt and GSK3β signaling pathway

To uncover the molecular mechanism of REG3A in GC cells, we performed western blotting to detect PI3K/Akt related signaling pathway in REG3A overexpressed MGC-803 cells and control cells. It was found that the phosphorylation of Akt was significantly suppressed by the overexpression of REG3A (Fig. 5A). Further, we found that the phosphorylation of GSK3β was also suppressed by REG3A overexpression (Fig. 5B).

Figure 5.

The regenerating islet-derived 3α (REG3A) regulates the phosphorylation of Akt and GSK3β. (A) Western blotting analysis of phospho-Akt and total-Akt in REG3A overexpressed and control MGC-803 cells. Statistical analysis of phospho-Akt/total-Akt is shown below. (B) Western blotting analysis of phospho-GSK3β and total-GSK3β in REG3A overexpressed and control MGC-803 cells. Statistical analysis of phospho-GSK3β/total-GSK3β is shown below. (C) Western blot analysis of phospho-Akt and total-Akt in REG3A knockdown and control HGC-27 cells. Statistical analysis of phospho-Akt/total-Akt densitometry is shown below. (D) Western blotting analysis of phospho-GSK3β and total-GSK3β in REG3A knockdown and control HGC-27 cells. Statistical analysis of phospho-GSK3β/total-GSK3β densitometry is shown below. (E and F) REG3A knockdown HGC-27 cells were treated with 50 nM CHIR-98014 (the inhibitor of GSK3β). The invaded (E) or apoptotic (F) HGC-27 cells were analyzed after 48 h. (G) REG3A knockdown HGC-27 cells were treated with 50 nM CHIR-98014 (the inhibitor of GSK3β). Cell counting kit-8 (CCK-8) cell viability of HGC-27 cells were detected at 0, 24, 48 and 72 h time-points, respectively. ^**P<0.01.

Further, we detected Akt-GSK3β signaling pathway in REG3A silenced HGC-27 cells and control cells. It was found that REG3A knockdown significantly increased the phosphorylation of Akt (Fig. 5C). Furthermore, the phosphorylation of GSK3β was also increased by silencing REG3A (Fig. 5D). Then by using CHIR-98014 (the inhibitor of GSK3β), it was found that CHIR-98014 could abrogate the effects of silenced REG3A on HGC-27 cells (Fig. 5E–G).

These results indicated that REG3A suppressed GC cell invasion, proliferation and promoted GC cell apoptosis dependent on Akt-GSK3β signaling.

Discussion

REG3A belongs to REG protein family, which includes REG1, REG3A and REG4. Previous study indicated that REG3A was downregulated in most primary human GC cells (16). However, in the last nine years no studies on REG3A in GC were reported. Its biological functions and related mechanism remain unclear. In this study, we deeply investigate the exact role of REG3A on GC. It was found that REG3A expression was obviously downregulated in GC, and high REG3A expression was associated with improved OS and DFS of patients.

Furthermore, we revealed the biological functions of REG3A in GC. We found that the invasion, proliferation and apoptosis of GC cells were regulated by REG3A. REG3A overexpression was able to suppress the invasion, and proliferation promoting apoptosis of GC cells. While REG3A knockdown had a reverse effect on the invasion, proliferation and apoptosis of GC cells.

REG3A was previously identified as a secreted protein induced by interleukin-17 (IL-17), then stimulating the proliferation and inhibiting terminal differentiation of keratinocytes during skin injury through PI3K/Akt pathway (21). It was also reported that Erk1/2 pathway lies downstream of REG signaling (22). Fibronectin 1 (FN1) was identified as a potential interaction partner for REG3A (12). FN1 stimulated the growth of non-small cell lung carcinoma cell via activating Akt signaling, and stimulated lung carcinoma cell growth via the phosphorylation of Erk (23,24). Here, we demonstrated that REG3A overexpression suppressed the phosphorylation of Akt and downstream GSK3β. While REG3A knockdown increased the phosphorylation of Akt and GSK3β, and the inhibitor of GSK3β could abrogate these effects. It was suggested that PI3K/Akt-GSK3β signaling played important roles in REG3A-regulated GC cells invasion, proliferation and apoptosis.

In conclusion, this study indicated that REG3A overexpression suppresses GC cells invasion, proliferation and promotes apoptosis, which are dependent on PI3K/Akt and GSK3β signaling pathway. REG3A may be used as a promising therapeutic strategy for GC in future.