Overexpression of TC2N is associated with poor prognosis in gastric cancer

DOI: https://doi.org/10.21203/rs.3.rs-39545/v1

Abstract

Background

Tac2-N (TC2N) is a tandem C2 domain-containing protein, acting as a novel oncogene or suppressor in different kinds of cancers. However, the status of TC2N expression and its significance in gastric cancer (GC) is still unclear. The present study is aimed to elucidate the clinicopathological significance and prognostic value of TC2N level in GC.

Methods

We used sequencing data from the Cancer Genome Atlas (TCGA) database to analyze TC2N expression in GC by UALCAN database and Gene Expression Profiling Interactive Analysis tools (GEPIA). TC2N expression level in 12 pairs of fresh GC tissues and adjacent nontumorous tissues was detected by quantitative real-time reverse-transcription polymerase chain reaction(RT-PCR)and Western blot(WB) assays. Immunohistochemical (IHC) staining was used to detect TC2N protein expression in Paraffin-embedded tissues in our center. In vitro proliferation, migration and invasion assays were used to evaluate the effect of TC2N on functional capability of gastric cancer cells. LinkedOmics was used to identify gene expressions associated with TC2N.

Results

The mRNA and protein expression of TC2N in gastric cancer were both significantly higher than normal gastric mucosa. It was also elevated in gastric cancer cells compared with normal gastric epithelium cell. In vitro assays suggested that TC2N facilitated proliferation, migration and invasion of gastric cancer cells. Bioinformatic analysis showed a widespread impact of TC2N on the transcriptome and a strong interaction with tumor associated genes. We also found that TC2N was an independent prognostic factor for long-term survival in GC patients and its high expression was significantly associated with poor overall survival and recurrence-free survival.

Conclusions

Our results show that high level of TC2N correlates with poor prognosis in patients with gastric cancer and promotes the development of gastric cancer. Thus, TC2N expression can serve as a prognostic biomarker for patients with gastric cancer.

Introduction

As the fifth most common cancer worldwide, gastric cancer (GC) is still incurable and induces 782,685 related death occurs in 2018 [1, 2]. A quantity of evidences show that GC remains an excessive health burden in several Asian countries, especially in China, Korea and Japan [3, 4]. Despite the development of surgical techniques and the improvement of chemotherapy and radiotherapy regimens, gastric cancer, especially advanced gastric cancer, is still a dreadful disease with high mortality [58]. Due to the fact that convenient and effective methods in predicting the prognosis of patients with gastric cancer are still lacking [9, 10], novel biomarkers for improving early diagnosis, prognostic evaluation and tumor grading of GC are urgently needed.

Tac2-N (TC2N), located on human chromosome 14q32.12, encodes a putative C2 domain-containing protein that belongs to the carboxyl-terminal type (C-type) tandem C2 protein family. TC2N was first cloned in the mouse and contains two C-terminal C2 domains, C2A and C2B [11]. The C2 domain was originally identified as a protein structural domain of calcium-dependent protein kinase C [1214]. Further studies indicated that the function of the C2 domain is not limited to calcium-dependent phospholipid binding since this motif has been implicated in cellular signal transduction and protein-protein interactions [15]. A number of proteins containing C2 domains are involved in the regulation of tumorigenesis. It is indicated that TC2N accelerates tumor progression in lung cancer by different mechanisms [16, 17]. Moreover, TC2N can also inhibit cell proliferation and tumor growth and correlates with a better prognosis in breast cancer [18]. However, the role TC2N playing in gastric cancer is still unclear.

The present study was undertaken to assess TC2N expression in GC specimens and explore its role in GC, and therefor to evaluate whether TC2N can serve as a prognostic biomarker for patients with GC.

Methods

Patients and specimens

Fresh gastric cancer and paired adjacent normal gastric mucosa tissues from resection specimens were collected from patients with primary gastric cancer who were treated by total or partial gastrectomy at the First Affiliated Hospital of Sun Yat-sen University (FAHSYSU) in 2017 (N = 12). All separated tissues were frozen immediately in liquid nitrogen and then stored in liquid nitrogen.

Paraffin-embedded tissues of gastric cancer and normal gastric mucosa were obtained from the Department of Pathology at the FAHSYSU. A total of 232 gastric cancer patients who underwent gastrectomy in our center were enrolled in this study. None of the patients received chemotherapy or other treatments before sampling. The pathological diagnoses and classifications were made according to the American Joint Committee on Cancer (AJCC) cancer staging manual, 7th ed [19]. Ethical approval for clinical research was obtained from the Institutional Review Board of FAHSYSU.

Cell culture

Gastric cancer cell lines, including AGS, MKN28 and HGC27, were obtained from the Type Culture Collection of Chinese Academy of Sciences (Shanghai, China). The normal gastric epithelial cell line GES1 was purchased from the Lab Animal Center of the Fourth Military Medical University (Shanxi, China). Cells were maintained in DMEM (Invitrogen, USA) supplemented with 10% fetal bovine serum (GBICO, USA) in incubator with 5% CO2 and 95% room air at 37 °C.

RNA isolation and reverse transcription-quantitative real-time PCR (RT-qPCR)

RNA was isolated from the cell lines using the RNA isolation plus (TaKaRa, Japan). Single-stranded cDNA was generated from 1 µg total RNA in a 20µL reaction volume using oligodT primers according to the protocol supplied with the Primer Script TM RT Reagent (TaKaRa, Japan). The relative expression levels were measured by qPCR using the ABI 7900HT instrument (Applied Biosystems, USA) in a total volume of 10 ul with the SYBR green detection system (Takara, Japan) and GAPDH was used as an endogenous control. Oligonucleotide sequences of the primer sets used were as follows: TC2N (forward: 5′ TGGCTGTACTGAGGATTATTTGC-3′, reverse: 5′- TGTGAAGGAGTTTCTTGTGTCC-3′); GAPDH (forward: 5′-ACAACTTTGGTATCGTGGAAGG-3′, reverse: 5′-GCCATCACGCCACAGTTTC-3′).

Western blot

For western blot analysis, total proteins from cell lines and fresh-frozen tissues were extracted using the Whole Cell Protein Extraction Kit (KeyGEN, China). BCA Protein Quantitation Assay (KeyGEN, China) was used to determine the protein concentration. An equal amount (30 µg) of protein sample was separated on 10% sodium dodecyl sulfate-polyacrylamide gels (SDS-PAGE) and transferred to polyvinylidene fluoride membranes (PVDF) (Millipore, USA). The membranes were then blocked with 5% non-fat dry milk in Tris-buffered saline (TBS)/0.1% Tween 20 for 1 h at room temperature. Membranes were incubated with anti-TC2N (1:1000, PA5-26433, Invitrogen, USA), anti-β-actin (1:1000, 14395-1-AP, Proteintech, China,) primary antibodies overnight at 4 ℃. The next day membranes were washed and incubated with horseradish peroxidase-conjugated secondary antibody. Proteins were visualized using Immobilon Western Chemiluminescent HRP Substrate (Millipore, USA).

Immunohistochemical staining and evaluation

The paraffin-embedded tissues were subjected to standard Immunohistochemical (IHC) staining, followed by streptavidin-biotin-peroxidase complex method as previous described [20]. In brief, slides were deparaffinized and then heated for antigen retrieval in EDTA buffer (pH 8.9) at 105 °C for 5 min and natural cooled for 30 min. Endogenous peroxidase activity was blocked in 3% hydrogen peroxide for 10 min. After blocked in 10% normal goat serum (KeyGen, China) for 30 min, sections were incubated with rabbit polyclonal anti-TC2N antibody (1:100, PA5-26433, Invitrogen, USA) at 4° overnight. EnVision Plus System-HRP (DAKO, Denmark) was used according to manufacturer’s instruction and targeted protein was visualized using diaminobenzidine (DAB) as the substrate. And the nucleus was displayed by Mayer’s hematoxylin counterstaining [21].

IHC results evaluation was performed by two double-blinded independent observers who were unaware of the clinical and pathological characteristics associated with the specimens, and scoring was determined using a semiquantitative method as previously described [22]. Samples in which more than 10% of the tumor cells were stained were considered positive. The staining intensity was defined as follows: 0 (negative), 1 (weak), 2 (moderate), and 3 (strong). Negative and weak staining was considered to indicate low TC2N expression, and moderate and strong staining was considered to indicate high TC2N expression.

RNA interference and Plasmid construction

Two different sequences of TC2N siRNA, including negative control siRNA, were designed and chemically synthesized by Ribobio (China). These two siRNA candidates were listed as follows: si-001 (targeting GGATAAGTGAAGACAGTAA) and si-002 (targeting GCACGGACCTAGCTATGAT). The expression vector encoding full-length open reading frame of human TC2N were constructed by synthesis and inserted into p3xFLAG-CMV-14. SiRNAs or plasmid were transfected to cells with the Lipofectamine 3000 reagent (Invitrogen, USA) following the manufacturer protocol.

Cell Counting Kit-8 assay

The Cell Counting Kit-8 (CCK8, Dojindo, Japan) was used according to the manufacturer’s instructions. Briefly, 1,000 cells/wells were seeded in a 96-well plate and 10 µl of CCK8 reagent were mixed with 90 µl of fresh medium to replace the original medium. Wells were further incubated for 3 h before being tested.

Cell migration and invasion assays

GC Cell migration and invasion were evaluated by conducting the Transwell assay, according to a previously described method [22]. Transwell inserts (pore size, 8 µm; BD Biosciences, USA) were specially precoated with Matrigel (BD Biosciences, USA) for use in the invasion assays. Infected AGS and MKN28 cells were harvested and 1 × 105 cells were suspended in 200 µL of serum-free medium and placed in a Transwell insert. The lower chamber was filled with 400 µL of medium containing 20% FBS. After the cells were incubated for 24 h at 37 °C, cells on the underside of the membrane were fixed with 4% paraformaldehyde for 15 min and subsequently stained with 0.1% crystal violet in 20% ethanol. Cell counts were performed for five randomly selected fields at × 100 magnification using phase contrast microscopy (Olympus, Germany). Transwell assays were replicated three times.

Database analysis

The mRNA expressions and tumor subgroup gene expressions of TC2N in GC tissues and normal gastric tissues were analyzed using the sequencing data from the Cancer Genome Atlas (TCGA) database [23] by UALCAN database [24] and Gene Expression Profiling Interactive Analysis tools (GEPIA) [25]. The LinkedOmics database [26] is a Web-based platform for analyzing 32 TCGA cancer-associated multi-dimensional datasets. The LinkFinder module of LinkedOmics was used to study genes differentially expressed in correlation with TC2N in the TCGA. Results were analyzed statistically using Spearman or Pearson’s correlation coefficient. Protein-protein interaction (PPI) networks were predicted using the Gene MANIA [27] and STRING program [28].

Statistical analysis

Statistical analysis and graphic plotting were performed using SPSS Statistics version 20.0 (IBM, USA) and GraphPad Prism version 6.0 (GraphPad Software, USA). Difference of TC2N mRNA expressions between groups was analyzed using Student’s t-test. The significance of associations between TC2N expression and clinicopathological features was analyzed using the Chi-square test. Survival curves were plotted using Kaplan-Meier method and the difference between groups were compared using log-rank test. Hazards ratio for clinicopathological characteristics in univariate and multivariate analysis were both estimated with Cox proportional hazards regression. Two tailed test was used for all the statistical analysis and P-value < 0.05 was considered statistically significant.

Results

The expression of TC2N is elevated in gastric cancer

Firstly, we analyzed TC2N transcription levels in multiple GC studies from TCGA. Data in the UALCAN database revealed that the mRNA expression of TC2N was significantly higher in GC tissues than in normal tissues (P ˂0.001) (Fig. 1A). Further sub-group analysis of multiple clinic pathological features of GC samples in the TCGA consistently showed that the transcription levels of TC2N were significantly higher in GC tissue than normal tissue in subgroup analyses based on gender, age, ethnicity, disease stages, tumor grade, TP53 mutation and H.pylori infection (Fig. 1B-H). The mRNA level of TC2N in GC tissues and normal gastric tissues from the GEPIA database also showed an increase in gastric cancers compared with normal gastric tissues (Fig. 2A). Next, RT-qPCR was conducted on RNA samples derived from several gastric cancer cell lines and normal gastric epithelium cell line GES1. When compared with GES1, it was found that TC2N mRNA expressions were higher in AGS, MKN28 and HGC27 (Fig. 2B) and the tendency of protein level tested by western blot was in accordance with the RNA level (Fig. 2C). To further confirm the TC2N expression in gastric cancer samples, TC2N was detected by RT-qPCR and WB in 12 pairs of gastric cancer tissues and adjacent normal gastric mucosa. We found that both the mRNA and protein levels of TC2N were significantly elevated in gastric cancer tissues in comparison with adjacent normal gastric tissues (Fig. 2D, E). Thus, TC2N expression may serve as a potential diagnostic indicator in GC.

Relationships between the expression of TC2N and clinicopathological features in gastric cancer

To explore the associations between TC2N expression and GC clinicopathologic characteristics, firstly, we performed IHC to detect TC2N expression in the GC tissue array, which contained 55 cases of GC tissue and paired adjacent normal tissue from GC patients. As shown in Fig. 3, TC2N protein was distributed both in the nucleus and cytoplasm (Fig. 3A, B). Meanwhile, we found that the protein expression of TC2N was significantly higher in primary GC compared with adjacent normal tissues (Fig. 3C). Next, the expression of TC2N protein in 232 primary gastric cancer tissue samples was also detected by IHC, 55 of which was collected from the same cases with tissue array mentioned above. The patients included 159 males and 73 females, ranging in age from 27 to 83 years (mean 58.6 years). Patients were followed up for 1 to 84 months, with a median follow-up time of 51.2 months. As shown in Fig. 3D, there were 71 cases (30.6%) with IHC score 1, 78 cases (33.6%) with IHC score 2, 44 cases (19.0%) with IHC score 3, and 39 cases (16.8%) with negative staining (IHC score 0). Negative and weak staining were defined as low TC2N expression (47.4%, 110/117), whereas moderate and strong staining were defined as high TC2N expression (52.6%,122/117). The association between TC2N expression and clinicopathological features of this cohort was further evaluated. As shown in Table 1, High TC2N expression was associated with poorly differentiated histological classification(P < 0.001), large tumor size(P < 0.05), advanced distant metastasis(P < 0.05) and tumor-node-metastasis (TNM) stage(P < 0.05).

Table 1

 Relationships between TC2N expression and clinical pathological  parameters in gastric cancer

Parameters

Cases number

TC2N expression

P value

Low

High

Gender

     

0.862

Male

159 (68.5%)

76 (69.1%)

83 (68.0%)

 

Female

73 (31.5%)

34 (30.9%)

39 (32.0%)

 

Age

     

0.926

< 50

47 (20.3%)

22 (20.0%)

25 (20.5%)

 

≥ 50

185 (79.7%)

88 (80.0%)

97 (79.5%)

 

Histological classification

     

< 0.001

Well and moderately

differentiated

79 (34.1%)

54 (49.1%)

25 (20.5%)

 

Poorly differentiated

153 (65.9%)

56 (50.9%)

97 (79.5%)

 

Tumor size

     

0.014

≤ 4 cm

109 (47.0%)

61 (55.5%)

48 (39.3%)

 

> 4 cm

123 (53.0%)

49 (44.5%)

74 (60.7%)

 

Tumor location

     

0.944

Upper stomach

55 (23.7%)

27 (24.5%)

28 (22.9%)

 

Middle stomach

34 (14.7%)

17 (15.5%)

17 (13.9%)

 

Lower stomach

89 (38.4%)

40 (36.4%)

49 (40.2%)

 

More than two parts

54 (23.3%)

26 (23.6%)

28 (23.0%)

 

Depth of invasion

     

0.516

T1

19 (8.2%)

8 (7.2%)

11 (9.0%)

 

T2

30 (12.9%)

15 (13.6%)

15 (12.2%)

 

T3

137 (59.1%)

61 (55.5%)

76 (62.3%)

 

T4

46 (19.8%)

26 (23.6%)

20 (16.4%)

 

Lymph node metastasis

     

0.184

N0

78 (33.6%)

42 (38.1%)

36 (29.5%)

 

N1

80 (34.5%)

45 (40.9%)

35 (28.7%)

 

N2

41 (17.7%)

15 (13.6%)

26 (21.3%)

 

N3

33 (14.2%)

8 (7.3%)

25 (20.5%)

 

Distant metastasis

     

0.032

M0

182 (78.4%)

93 (84.5%)

89 (73.0%)

 

M1

50 (21.6%)

17 (15.5%)

33 (27.0%)

 

TNM stage

     

0.020

IA

14 (6.0%)

8 (7.3%)

6 (4.9%)

 

IB

21 (9.1%)

14 (12.7%)

7 (5.7%)

 

II

52 (22.4%)

29 (26.4%)

23 (18.9%)

 

IIIA

47 (20.3%)

25 (22.7%)

22 (18.0%)

 

IIIB

21 (9.1%)

5 (4.5%)

16 (13.1%)

 

IV

77 (33.2%)

29 (26.4%)

48 (39.3%)

 

a: The pathological diagnoses and classifications were made according to American Joint Committee on Cancer (AJCC) cancer staging manual, 7th ed

High TC2N expression indicated worse prognosis in patients with gastric cancer

For all subjects in the present study, the follow-up period ranged from 1 to 84 months, with a median follow-up time of 51.2 months. And 123 (53.0%) patients were confirmed dead at the follow-up end point. The median overall survival time was 64.4 ± 11.6 months and the 5-year overall survival (OS) rate was 50.7%. In GC patients with high TC2N expression, the overall 5-year survival rate was significantly poorer than that in GC patients with low expression of TC2N (39.0% vs. 59.4%; P < 0.001, Fig. 4A). By comparing the Kaplan-Meier curves of the relapse-free survival (RFS) stratified by TC2N expression (Fig. 4B), it showed the consistent results that high level of TC2N is a signal of poor prognosis in GC patients. Furthermore, we also detected the prognostic indicator effect of TC2N expression in early (TNM stage I and II) (Fig. 4C, D) and advanced (TNM stage III and IV) (Fig. 4E,4F) gastric cancer, respectively. In early gastric cancer, the 5-year overall survival was 54.3% and 31.6% in the groups with TC2N low and high expression, respectively. And in advanced gastric cancer, the 5-year overall survival was 35.0% and 25.8% in the TC2N low and high expression groups, respectively. Similar results have been observed when RFS was used to be the comparative index. These results suggested that patients with high TC2N expression in gastric cancer tissues showed poorer prognosis than those with low TC2N expression regardless of TNM stage.

We also performed univariate Cox regression to estimate the value of prognostic evaluation of TC2N expression and the clinicopathological features for patients with gastric cancer. Univariate analysis showed that high TC2N level together with female, younger, advanced differentiation degree, large tumor size, more than two parts of stomach involved and advanced T, N, and M stage were significantly associated with poor overall survival of gastric cancer patients (Table 2). To correct the effects of confounding factors, multivariate Cox regression analysis was performed by using the method “Forward Stepwise (Conditional LR)”. It was revealed that high TC2N expression was also associated with poor survival of gastric cancer patients after adjusting for tumor size, depth of tumor invasion, lymph node metastasis and distant metastasis (HR = 1.616; 95%CI: 1.121–2.332, p = 0.010) (Table 2). These results indicated that the protein expression of TC2N could be an independent prognostic predictor for patients with gastric cancer.

Table 2

Association of various factors with overall survival determined by Cox regression.

Variables

Univariate Cox analysis

Multivariate Cox analysis

HR

95%CI

P value

HR

95%CI

P value

Lower

Upper

   

Lower

Upper

 

Gender

               

Male

1

             

Female

1.414

1.167

2.016

0.022

       

Age

               

< 50

1

             

≥ 50

0.624

0.428

0.975

0.043

       

Histological classification

               

Well and moderately

differentiated

1

             

Poorly differentiated

2.016

1.679

3.183

0.001

       

Tumor size

               

≤ 4 cm

1

     

1

     

> 4 cm

2.138

1.152

4.126

< 0.001

1.573

1.315

2.422

0.029

Tumor location

     

0.007

       

Upper stomach

1

             

Middle stomach

0.945

0.527

1.893

0.981

       

Lower stomach

0.695

0.621

1.190

0.238

       

More than two parts

1.239

1.311

2.678

0.039

       

Depth of invasiona

     

< 0.001

     

0.006

T1

1

     

1

     

T2

1.489

0.318

8.812

0.622

2.012

0.413

9.879

0.398

T3

8.786

2.056

28.745

0.003

5.622

1.445

22.423

0.018

T4

22.773

5.023

92.101

< 0.001

7.691

1.698

36.012

0.007

Lymph node metastasisa

     

< 0.001

     

0.003

N0

1

     

1

     

N1

2.123

1.129

3.147

0.004

1.891

0.801

2.234

0.901

N2

6.012

3.761

9.012

< 0.001

2.712

1.654

5.812

0.001

N3

7.071

3.613

10.972

< 0.001

2.231

1.414

3.914

0.012

Distant metastasisa

               

M0

1

     

1

     

M1

3.418

3.011

6.746

< 0.001

2.087

1.294

3.294

0.003

TC2N level

               

Low

1

     

1

     

High

2.003

1.354

2.691

< 0.001

1.451

1.312

2.241

0.013

a: The pathological diagnoses and classifications were made according to American Joint Committee on Cancer (AJCC) cancer staging manual, 7th ed.

TC2N promotes gastric cancer cell proliferation, migration and invasion in vitro

To explore the potential role of TC2N in the development of GC, TC2N was knocked-down in AGS cells or overexpressed in MKN28 cells, and the expression of TC2N was verified by WB (Fig. 5A). We then assessed the role of TC2N in cell proliferation by CCK8 assay (Fig. 5B). The data showed that TC2N knockdown markedly impeded the proliferation of AGS cells, while TC2N overexpression promoted the growth of MKN28 cells. Next, transwell assays were performed to examine the effect of TC2N on migratory and invasive capacity of GC cells. The results showed that the downregulation of TC2N inhibited the migration and invasion of AGS cells, whereas TC2N overexpression promoted the migration and invasion of MKN28 cells (Fig. 5C, D). These above results suggested that TC2N might act as a potential oncogene in gastric cancer.

Analysis of genes differentially expressed in correlation with TC2N in GC

The Function module of LinkedOmics was used to analyze mRNA sequencing data from 415 GC patients in the TCGA. As shown in the volcano plot (Fig. 6A), 3,733 genes (dark red dots) showed significant positive correlations with TC2N, whereas 5,420 genes (dark green dots) showed significant negative correlations (false discovery rate [FDR] < 0.01). The 50 significant gene sets positively and negatively correlated with TC2N as shown in the heat map (Fig. 6B, 6C). This result suggests a widespread impact of TC2N on the transcriptome. We noticed that TC2N expression showed a strong positive association with expression of CATSPERB (positive rank #1, Pearson correlation = 0.75, P = 4.694e-76) and some other genes which have been proved to be connected with cancer, such as GALNT3 (positive rank #2, Pearson correlation = 0.58, P = 5.76E-38), RBM47 (positive rank #4, Pearson correlation = 0.60, P = 1.86E-42). The scatter plot shows Pearson correlation of TC2N expression with expression of CATSPERB(Fig. 6D). In addition, we analyzed the PPI networks of TC2N by using the GeneMANIA and STRING program (Fig. 6E,6F), and predicted a strong interaction between the proteins of TC2N and CATSPERB, as well as the proteins of TC2N and GALNT3.

Discussion

The present study demonstrated that high TC2N expression is significantly associated with poor prognosis and its expression may serve as a biomarker for the prognosis of patients with GC. First, we demonstrated that the TC2N expressions were significantly higher in GC by analyzing TCGA data and conducting RT-qPCR and WB to detect the expression of TC2N in tissue specimens and cells. Second, we proved that TC2N protein expression was significantly higher in GC tissues than in adjacent normal tissues, as based on tissue microarrays derived from 55 patients. Meanwhile, IHC staining of tissues from 232 GC patients verified that TC2N overexpression correlated with clinicopathological features in GC and was associated with poor OS and RFS. Third, the vitro assays proved that TC2N promoted gastric cancer cell proliferation, migration and invasion. Finally, the analysis of genes differentially expressed in correlation with TC2N in GC suggested a widespread impact of TC2N on the transcriptome and an intensive connection between TC2N and genes related to human cancer and other diseases, such as CATSPERB, GALNT3 and RBM47. Taken together, we discovered that TC2N may play a role of oncogene in gastric cancer.

Previous studies have reported the essential roles of protein containing the C2 domain in endocytosis, cellular metabolism and cancer [2931]. TC2N expression is also associated with the prognosis and development of human lung cancer and breast cancer [1618]. Former researchers have found that TC2N overexpression in lung cancer leads to enhancing the proliferation ability and inhibiting apoptosis through the repression of p53 function in a transcription-dependent manner. In another way, TC2N also can facilitate migration and invasion of lung cancer cells in vitro and promote tumor metastasis in vivo through increasing the degradation of IκB by promoting its phosphorylation, and subsequently activating NF-κB activity. Genes with similar expression patterns always share similar functions [32, 33]. However, TC2N was found to play a completely different role in breast cancer. TC2N is also frequently overexpressed in breast cancer, but interestingly, high TC2N expression predicts favorable prognosis in breast cancer. Further study proved that upregulation of TC2N significantly restrained breast cancer cell proliferation in vitro by blocking AKT signaling in a PI3K dependent and independent way, suggesting that TC2N may be a tumor suppressor in breast cancer. In this study, we also demonstrated that TC2N overexpression was significantly related to the clinicopathological features in GC and promoted the its development in vitro. Bioinformatic analysis suggested a connection between TC2N and a series of genes related to human cancer and other diseases, such as CATSPERB, a novel transmembrane protein playing role in the field of reproduction [34], GALNT3, proved to play important roles in different cancers [3537] and RBM47, reported to inhibit tumor progression in lung, breast and colon cancer [3840]. These evidences further verified the potential role of TC2N in GC from another aspect. However, we did not explore the biological function of TC2N in vivo and the detailed mechanism are still unclear, which is a limitation of this study.

In conclusion, our results revealed that TC2N overexpression is significantly associated with poor prognosis and promotes the development of GC. TC2N may act as an independent prognostic factor in patients with GC. Further studies are required to clarify the molecular mechanisms by which TC2N promotes GC development.

Abbreviations

TC2N: Tac2-N; GC:Gastric cancer; TCGA:The Cancer Genome Atlas; GEPIA:Gene Expression Profiling Interactive Analysis tools; RT-qPCR:RNA isolation and reverse transcription-quantitative real-time PCR; WB:Western blot; IHC:Immunohistochemical; PPI:Protein-protein interaction; OS:Overall survival; RFS:relapse-free survival.

Declarations

Ethics approval and consent to participate

All procedures performed in studies were in accordance with the ethical standards of the Ethics Committee of the Institutional Ethical Review Board of the First Affiliated Hospital, Sun Yat-sen University.

Consent for publication

Not applicable

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding authors on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

This study was supported by grants from the National Natural Foundation of China (81472260,81672343 and 81871915), Natural Science Foundation of Guangdong, China (2015A030313053 and 2017A030313570). Science and Technology Program of Guangzhou, China (201607010050). The Fundamental Research Funds for the Central Universities (15ykpy17)

Authors’ Contributions

JBX designed the research; XDO, JL, QBC, KYS, JNY and JJP performed the research; JBX and XDO analyzed the data and wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We appreciated Xingyu Zhou for polishing the manuscript.

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