Prognostic significance and biological function of Lamina-associated polypeptide 2 in non-small-cell lung cancer.

Purpose: Lamina-associated polypeptide 2 (LAP2; encoded by TMPO), is a nuclear protein that may affect chromatin regulation and gene expression through dynamically binding to nuclear lamin. TMPO (LAP2) plays dual roles of either suppressing or promoting proliferation of cells, depending on the status of the cell. It has been reported that TMPO is up-regulated in various cancer types. However, its function in lung cancer has not been studied yet. Materials and methods: A series of clinical microarray datasets for lung cancer were investigated to demonstrate the expression of TMPO. The transcription of TMPO gene in human lung cancer was analyzed using Oncomine platform (www.oncomine.org) according to the standardized procedures described previously. Four separate datasets (Hou Lung, Okayama Lung, Beer Lung, and Garber Lung) were analyzed.
Results: Here, we show that TMPO is over-expressed in lung cancer tissues, and that a high level of TMPO indicates a poor prognosis in lung cancer patients. Knockdown of TMPO in lung cancer cells inhibits cell proliferation and induces apoptosis. Also, down-regulation of TMPO leads to an impaired metastatic ability of tumor cells. A nude mice tumor model show that knockdown of TMPO suppresses tumor formation in vivo.
Conclusion: Collectively, this study suggests TMPO as an oncogene and a novel prognostic gene in lung cancer.

Introduction

Lung cancer is the leading cause of cancer-related deaths among men and women worldwide.1 In 2012, about 1.8 million new cases of lung cancer were diagnosed worldwide.2 According to their histological features, lung cancer is sub-divided into four major histological subtypes, including small-cell lung cancer, squamous cell carcinoma (SCC), adenocarcinoma (ADC), and large-cell carcinoma (LCC). The latter three types of cancer are collectively referred to as non-small-cell lung cancer (NSCLC), accounting for 80% of lung cancers.3 Despite advances in early diagnosis, target and immune therapies, lung cancer is often diagnosed at an advanced stage and has a poor prognosis, with a 5-year survival rate of 16.8% after cancer diagnosis.4

Targeted therapy shed a light on NSCLC treatment. NSCLC with an epidermal growth factor receptor (EGFR) mutation respond well to tyrosine kinase inhibitor (TKI), including gefitinib and erlotinib. EGFR mutation happens in 30~40% of adenocarcinomas in East Asians and 10~15% of those in Caucasians and African Americans. However, NSCLC patients with EGFR wild type cannot benefit from TKI therapy. Moreover, tumors will progress on EGFR TKI therapy within approximately 8–14 months, often as a result of acquired resistance mutations.5 These findings indicate that NSCLC are far more complicated than just an EGFR mutation, and other gene signaling pathways may be involved in the tumorigenesis and drug resistance, which need further investigation.

Lamina-associated polypeptide 2 (LAP2), also recognized as Thymopoietin (TMPO), is allocated in genome 12q21.2, and can give rise to six nucleus-localized isoforms (α, β, γ, δ, ε, ζ) by alternative splicing. The isoforms can be divided into two groups, one of which has a trans-membrane domain that localizes to the inner nuclear membrane, while the other one has a unique C-terminus and localizes to nucleoplasm and bind to pRb protein.6–9 All the isoforms interact with lamin A/C and chromatin. The nucleoplasmic LAP2α has dual functions of either suppressing or promoting proliferation depending on different cellular status.10,11 LAP2α and LAP2β were found to be over-expressed in malignant hematologic diseases,12 digestive tract carcinomas,13 glioblastoma14 and other cancers.11 However, until now, the prognostic value of TMPO in lung cancer has not been studied yet.

In the present study, the differential expression and prognostic significance of TMPO in lung cancer were analyzed through data mining from the Oncomine and Proggene databases. A siRNA recognizing the consensus region within N-terminus of TMPO gene were designed to study the effect of downregulated expression of TMPO on the biological phenotype and tumorigenicity of lung cancer cells.

Materials and methods

Data mining and Oncomine platform analysis

A series of clinical microarray datasets for lung cancer were investigated to demonstrate the expression of TMPO. The transcription of TMPO gene in human lung cancer was analyzed using Oncomine platform (www.oncomine.org) according to the standardized procedures described previously.15 Four separate datasets (Hou Lung,16 Okayama Lung,17 Beer Lung,18 and Garber Lung19) were analyzed.

Survival analysis of lung cancer patients using an online PROG gene database

Using the median gene expression value as the bifurcating point, samples were divided into High and Low gene expression groups in PROG gene. Six representative microarray datasets (GSE11969, GSE13213, GSE17710, GSE30219, GSE37745 and GSE31210) were enrolled to calculate the overall survival or relapse-free survival of lung cancer patients. GSE11969 contains expression profiles in 90 patients with non-small cell lung cancers (NSCLC); GSE13213 has 117 patients with lung adenocarcinoma expression profiles; GSE17710 has 56 patients with lung squamous cell carcinoma; GSE30219 has 282 lung tumor samples analyzed; GSE37745 is composed of fresh frozen tissue of 96 NSCLC patients;GSE31210 contains a profile of 226 lung adenocarcinomas. p-values were calculated by log-rank test, and Hazard ratio (HR) value was utilized to evaluate the potential risk of death related to high expression of TMPO. HR value greater than 1.0 means patients with higher expression level of target gene will have greater probability of death.

Cell culture

Human lung cancer cell lines including H1299, A549, H460, PC-9 and PC-9R were obtained from Shanghai Institute of Cell Biology, Chinese Academy of Science. H1299, H460, PC-9 and PC-9R cells were cultured in RPMI-1640 (Hyclone, GE Healthcare Sciences, Marlborough, MA, USA) supplemented with 10% FBS (Hyclone) at 37°C humidified atmosphere containing 5% CO2. A549 cells were cultured in DMEM (Hyclone) supplemented with 10% FBS (Hyclone) at 37°C humidified atmosphere containing 5% CO2.

Lentiviral vector construction and virus infection

The sequence (5′-CTTGTGAAATACGGAGTGAAT-3′) was used as the target sequence to down-regulate the TMPO (NM_001032283.2) gene level. The negative control small interfering RNA (siRNA) was 5ʹ-TTCTCCGAACGTGTCACGT-3ʹ. The stem-loop-stem oligos (shRNAs) were synthesized, annealed and ligated into the BamH I/EcoR I-linearized pFH-GFPvector. The lentiviral-based shRNA-expressing vectors were checked by DNA sequencing. The generated plasmids were named as pFH-GFP-shTMPO and pFH-GFP-shCon.

HEK293T cells (1.0×106) were seeded onto 10-cm dishes and cultured for 24 h to reach 70–80% confluence. Two hours before transfection, the medium was replaced with serum-free DMEM. Three plasmids including 10 µg pFH plasmid, 7.5 µg packaging vector pHelper 1.0 and 5 µg expression plasmid pHelper 2.0 were added to 0.95 ml Opti-MEM and 30 µl of Lipofectamine 2000. The mixture was added to the cells and incubated for 6 hrs before replacing the medium with 10 ml of complete DMEM medium (with 10% PBS). Lentiviral particles were harvested at 48 h after transfection. As the lentivirus carries green fluorescence protein (GFP), the viral titer was determined by end-point dilution assay through counting the numbers of GFP-expressing HEK293T cells under fluorescence microscopy at 72 h after transduction.

Western blot analysis

Cells were washed twice with ice-cold PBS and lysed in 2XSDS sample buffer [100 mM Tris-HCl (pH 6.8), 10 mM EDTA, 4% SDS and 10% glycine]. Equal amount of proteins (30 µg) were loaded and separated by electrophoresis (50 V, 3 h) on 10% SDS-PAGE gels. Western blot was performed according to previous report.20 The primary antibodies used were as follows: Anti-TMPO, BAD, Bcl-2, Caspase-3, BCL-xl, PARP, CDK2, CDK4, Cyclin A2, Cyclin B1, Cyclin D1, E-cadherin, N-cadherin, and Vimentin. Horseradish peroxidase-conjugated antibody was used as secondary antibody (1:5,000 dilution, #SC-2054; Santa Cruz Biotechnology, Inc., Dallas, TX, USA). An anti-GAPDH antibody (1:500,000, 10494-1-AP; ProteinTech group, Chicago, IL, USA) was used as the loading control. In addition, 9 proteins including Bad, Bcl-2, cleaved caspase-3, PARP, Cyclin B1, CDK2, Cyclin A2, Cyclin D1 and GAPDH were separated on 10% SDS-PAGE at the same time in different lanes. According to protein molecular weight, SDS-PAGE was cut before transferring electrophoretically onto a PVDF membrane. Bad, CDK2 and cyclin B1 were cut in the same lane at molecular weight 15–25 KD, 25–40 and 40–100 KD. Bcl-2 and cyclin A2 were cut in the same lane at molecular weight 15–35 and 40–70 KD. Cleaved caspase-3 and cyclin D1 were cut at molecular weight 15–25 and 25–40 KD. GAPDH and PARP were cut at molecular weight 15–40 and 55–170 KD.

Flow cytometry analysis

H1299 cells were cultivated in 6-well plates and inoculated with lentiviruses at a MOI of 20. Cells were transferred to 6-cm dishes at a cell density of 2×105 after 3-day incubation. The cells were harvested after 2-day incubation period and then cell apoptosis was determined by Annexin V-APC/7-AAD staining method before cell confluency reached 80% of the dishes. Triple samples were repeated by FAC Scan Flow Cytometer (Becton Dickinson, San Jose, CA, USA) in accordance with the manufacturer’s guideline.

Wound healing assay and transwell invasion assay

H1299 cells stably transduced with Lv-shTMPO were seeded on a 24-well culture plate (Corning, Corning, NY, USA), and the wound healing assay were performed at a cell confluence of 80%. Gently and slowly scratch the monolayer with a new 0.2 ml pipette tip across the center of the well. The resulting gap distance therefore equals to the outer diameter of the end of the tip. After scratching, gently wash the well twice with PBS to remove the detached cells. The cells were grown for an additional 48 hours, then fixed with 4% paraformaldehye for 30 minutes. The photos of cell monolayer were taken under a light microscope. Each experimental group was set in triplicate, and three randomly chosen views were photographed.

Transwell chambers (8-µm pore filter; BD Biosciences, Franklin Lakes, NJ, USA) were coated with Matrigel™ Basement Membrane Matrix (BD Biosciences) and incubated at 37°C for 4 hours to allow solidification. Following 24-hour incubation with Lv-shCon, Lv-shTMPO, 2×105 H1299 cells suspended in serum-free DMEM were added to the upper chamber, and DMEM containing 10% FBS was added to the lower chamber as a chemoattractant. Non-invading cells were removed 48 h ours later, using cotton swabs (Sigma-Aldrich), and invasive cells located on the lower surface of the chamber were then stained with 0.1% crystal violet (Sigma-Aldrich) dissolved in 20% methanol (Sigma-Aldrich). Cell invasiveness was determined by counting the number of penetrating cells in ten random high-power fields under a phase-contrast microscope (A19.2703; Nikon Corporation, Tokyo, Japan) at ×200 magnification.

Xenograft assay of tumors in animals

Six-week-old female Balb/C nude mice were randomly divided into Lv-shCon control group and Lv-shTMPO knockdown group (n=10 in each group). H1299/Lv-shCon or H1299/Lv-shTMPO at 2×106/100 µL cell suspension in PBS was injected s.c. into the dorsal flanks of each mouse using a 25-gauge needle. Tumor volume was measured twice a week post-injection. Tumor weight was measured at the end of experiment after mice were sacrificed.

Statistical analysis

Statistical analysis was carried by graphpad prism software. Group difference was compared by using Student’s t-test or log-rank test, and p<0.05 was considered as statistically significant.

Results

TMPO is overexpressed in non-small cell lung cancer compared to normal tissue

Data mining on mRNA expression profiles between normal and malignant lung tissue sets indicated that TMPO could be one of the candidate biomarkers. In this study, four independent datasets were enrolled to identify the differential TMPO mRNA expression in lung cancer. TMPO was over-expressed in lung squamous carcinoma, adenocarcinoma and large cell carcinoma comparing to normal tissues (p<0.05) in Hou Lung, and in lung adenocarcinoma Okayama Lung, Beer Lung and Garber Lung datasets (Figure 1). These data suggested that TMPO might play a critical role in the transformation of lung cancer, and could be a biomarker for lung cancer.

Figure 1

TMPO is upregulated in non-small cell lung cancers. The expression of TMPO was assessed in non-small cell lung cancers using Oncomine database. (A) In Hou Lung dataset, TMPO is overexpressed in large cell lung carcinoma, lung adenocarcinoma, and squamous cell lung carcinoma, than in normal tissue. (B) TMPO is also significantly upregulated in Okayama Lung (B), Beer Lung (C), and Garber Lung (D) datasets. Analyzed sample numbers are shown under each category. The p-value was calculated using two-tailed and unpaired Student’s t-test, and shown above each graph.

High expression level of TMPO had poorer prognosis in lung cancer patients

To further study the importance of TMPO in lung cancer, we analyzed the data from PROGgene database, a gene expression-based survival analysis web application for multiple cancers. PROGgene have compiled publicly available data from repositories such as Gene Expression Omnibus (GEO), EBI Array Express and recently developed “The Cancer Genome Atlas” (TCGA). With a total of 64 datasets from 18 cancer types, PROGgene is considered the most comprehensive prognostic biomarker identification tool to date.21 Using median gene expression value as bifurcating point, samples were divided into High and Low gene expression groups in PROGgene.

The data indicated that patients with high TMPO expression were more likely to have shorter overall survival and relapse free survival than those with low TMPO expression. Among 17 included overall survival datasets, 13 shows longer median survival or relapse free survival in low TMPO group, six of which were statistically significant. Figure 2 shows representative data downloaded from PROGgene that patients with high TMPO expression have shorter overall survival than those with low TMPO expression in GSE11969, GSE13213, GSE17710, GSE30219 and GSE37745 datasets, and that high TMPO expression predicts a poor relapse-free survival in GSE17710 and GSE31210 datasets. Although patients in GSE31210 dataset had 100% overall survival (data not shown), their relapse free survival were significantly different (Figure 2G). In GSE37745 dataset, the patients with high TMPO level had shorter overall survival, although their relapse free survival were not significant. A close inspection of Oncomine and PROGgene databases showed that TMPO is especially overexpressed and predicts poor prognosis in lung adenocarcinoma.

Figure 2

TMPO expression is prognostically relevant in lung cancer patients. (A–E) High expression of TMPO correlates with poor overall survival rates in GSE11969, GSE13213, GSE17710, GSE30219, and GSE37745 datasets from PROG–gene database. (FH) High expression of TMPO correlates with poor relapse survival in GSE17710 and GSE31210 datasets although not in GSE37745 dataset from PROGgene database. Survival curves were compared using log-rank test.

TMPO knockdown suppresses proliferation of H1299 lung adenocarcinoma cell line

To identify the role of TMPO in human lung cancer, we studied the endogenous expression level in five model types of lung cancer cells H1299, A549, H460, PC-9 and PC-9R (Figure 3). Then, H1299 a lung adenocarcinoma cell line was chosen for further study. H1299 cells were transducted with shCon and shTMPO by lentiviral vector. The transfection efficiency monitored by an independent green fluorescence protein (GFP) expression is around 90% (Figure 4A). Western blot analysis indicated an efficient knockdown of TMPO in H1299 cells (Figure 4B).

Figure 3

Expression of TMPO in lung cancer cells. Lung cancer cells were subjected to Western blot analysis for protein expression of TMPO.

Figure 4

Knockdown of TMPO inhibited cell growth and induced cell cycle arrest and apoptosis. (A) H1299 cells were transducted with control vector or shTMPO through lentiviral vector. GFP expression indicated sufficient infection rate of more than 90%. (B) H1299 cells were subjected to Western blotting analysis for TMPO expression. (C) Knockdown of TMPO induced expression alteration of cell cycle and apoptotic regulators. (D) Knockdown of TMPO suppresses proliferation of H1299 lung cancer cells (**p<0.0001). (E) Knockdown of TMPO induces apoptosis in H1299 lung cancer cells (**p<0.0001). (F) Knockdown of TMPO results in G2/M arrest (**p<0.0001).

MTT assay showed that knockdown of TMPO expression inhibited H1299 proliferation (Figure 4D), probably through induction of apoptosis (Figure 4E, p=0.0004 and <0.0001) and cell cycle arrest at G2/M (Figure 4F). Then, we further studied the molecular profile of cell cycle and apoptotic markers. As shown in Figure 4C, knockdown of TMPO expression resulted in up-regulation of BAD, down-regulation of Bcl-2, and induced a significant cleavage of PARP and caspase-3, indicating an apoptotic activation in H1299 cells. Also, although BCL-xl, CDK2, CDK4, and CyclinA2 were not significantly different between the two groups, TMPO knockdown cause a slight elevation of cyclin D1 and reduction of cyclin B1, which explains why G2/M arrest and lower G1 population were found in TMPO knocked down cells.

TMPO depletion suppresses cell migration as an invasion ability

We further investigated the impact of TMPO on cell mobility. Figure 5A and B showed the wound healing result. Comparing with the control group, the migration ability of TMPO-silencing cells was inhibited (24 hours, p=2.78e−005 and 48 hours, p=2.03e−005, respectively). Matrigel transwell assay indicated that TMPO knockdown suppressed the invasion ability of H1299 cells (Figure 5C and D). To better understand the role of TMPO in lung cancer cells, we studied the expression of EMT markers. As shown in Figure 5E, vimentin was obviously down-regulated, whereas E-cadherin and N-cadherin were slightly up-regulated in shTMPO group compared with the control. These data demonstrated that TMPO might function through the EMT pathway to regulate cell mobility.

Figure 5

Knockdown of TMPO expression inhibits the migration and invasion ability of H1299 cells. (A and B) Downregulation of TMPO inhibits the migration ability of H1299 cells by wound healing assay (***p<0.0001). (C and D) Downregulation of TMPO suppresses the invasion ability of H1299 cells by transwell assay (***p<0.0001). (E) Western blot analysis of EMT marker upon TMPO knockdown.

Silencing TMPO inhibited the tumorigenesis ability of lung cancer cells in vivo

To support the theory we have got in vitro, we performed in vivo study to evaluate the impacts of TMPO expression alteration. In a xenograft nude mice model, H1299/shCon and H1299/shTMPO were injected into nude mice and then the tumor volume was measured twice a week. As shown in Figure 6, the tumor growth ability was significantly inhibited by TMPO knockdown (shCon vs shTMPO) (p=0.0463), accompanied by a reduced final tumor weight (p=0.0441) (5.056±2.014 g vs 0.2200±0.2200 g).

Figure 6

TMPO knockdown inhibits tumor growth in vivo. (A) Tumor growth curve shows that TMPO knockdown suppresses tumor growth in a xenograft nude mice model (p=0.0463). (B) Final tumor weights were measured after mice were sacrificed. Down-regulated TMPO suppressed tumor growth (p=0.0441).

Discussion

TMPO/Lap2 is one of LEM domain proteins which are recognized as inner nuclear membrane proteins.22,23 LEM domain proteins play critical roles in DNA replication and regulation of DNA expression. LAP2β, one of LAP2 isoforms, regulates DNA replication in G1 phase of cell cycle by interacting with HA95 protein,24 which was consistent with Kim’s report.13 Here we presented the data demonstrating over-expression of TMPO in lung cancer cells comparing with normal tissues, and down-regulated expression of TMPO inhibited cancer cell growth and invasion ability. This is the first report that expression level of TMPO has significant impacts on lung cancer prognosis.

Metastasis of cancer cells significantly affects the prognosis of cancer disease; and 5-year survival rate is remarkably lower than stabilized tumors.25 The mobility of cancer cells is the key factor of metastasis.26 As a consequence, inhibition of migration is effective in carcinoma therapy. And many migration inhibitors are under investigation for lung cancers.27 In this study, we found that TMPO knockdown could arrest cell cycles at S phase, and with further exploration we noted that Cyclin A2 and CDK2/CDK4 were up-regulated. Cyclin A2 and CDK2/CDK4 were known to promote cell cycle to S phase in mammals.28,29 Cyclin D1 binds with CDK4 and this assembled complex phosphorylated retinoblastoma protein Rb.30 Over-expression of Cyclin A2, CDK2 and Cyclin D1/CDK4 complex will accumulate cells to S phase. On the contrary, Cyclin B1 was observed to be down-regulated after TMPO was depleted. Cyclin B1 is a regulatory protein involved in mitosis, and it binds with CDK1 to promote early mitosis.31 Therefore, down regulation of Cyclin B1 resulted in S phase accumulation. Furthermore, it’s been reported that down-regulated Cyclin B1 was associated with tumor regression,32 which was mutually verified in our present study by lung cancer cell growth rate study, in vitro and in vivo.

Early and late cell apoptosis was observed in our study. To further illuminate the mechanism how expression alteration of TMPO affects cell apoptosis, we detected some molecules. B-cell lymphoma proteins (including Bcl-xl and Bcl-2) play a critical role in regulating cell cycles and act as anti-apoptotic proteins, while Bad proteins act as pro-apoptotic role.33 In some cases as reported, down-regulation of Bcl proteins could induce cell apoptosis in cancer cells;34 and Bad was transcriptionally coordinated with p53 to form a Bad/p53 complex and induced apoptosis.35 In our study, the cooperative decreased Bcl-xl/Bcl-2 level and increased Bad proteins suggested that depletion of TMPO could be a tool to induce cell apoptosis. Meanwhile a significant cleavage of PARP and caspase-3 was detected in our study, indicating that TMPO depletion mediated inhibition of PARP and induces apoptosis in death receptor signaling.

In this study we carried out xerograph tumor studies in mice and noticed that TMPO depletion could inhibit tumor cell growth significantly. Meanwhile, in the transwell study we confirmed that the deficiency of TMPO protein could restrain cancer cell invasive capability. In the screening of potential cellular signal pathway alterations, we have detected that Vimentin was decreased and E-cadherin proteins were up-regulated in TMPO depletion lung cancer cells. Vimentin is a type III intermediate filament (IF) protein that is expressed in mesenchymal cells. Some investigators have reported that Vimentin was highly expressed in invasive tumor cells36–38 and was responsible for the cancer cell invasive capacities.39 Down-regulated vimentin could significantly inhibit the cancer invasion in vitro studies.40,41 The data in the present study suggest that TMPO depletion could down-regulate vimentin expression and inhibit the cancer cell metastatic ability. E-cadherin is a transmembrane glycoprotein that mediates calcium-dependent, homotypic cell-cell adhesion. It’s been reported that decreased expression of E-cadherin was associated with increased invasiveness of breast cancer and numerous studies have demonstrated the importance of E-cadherin in maintaining the normal phenotype of epithelial cells.42–44 In this present study E-cadherin was restored by TMPO depletion and the restoration inhibited cancer cell invasiveness. To summarize, our finding of inhibited cancer cell growth and invasion with the progress of vimentin down-regulation was consistent with these reports.

Conclusion

In conclusion, in this present study we have provided evidence that TMPO was over-expressed in lung cancer cells and played critical roles in motility of cancer cells. Although the detailed mechanism needs to be illustrated in future studies, our presented data suggests TMPO could be a novel prognostic factor and therapeutic target for lung cancer patients.