Literature DB >> 32273728

Prognostic Value and Molecular Regulatory Mechanism of MSTO2P in Hepatocellular Carcinoma: A Comprehensive Study Based on Bioinformatics, Clinical Analysis and in vitro Validation.

Lijun Yan1, Chaosen Yue2, Yingchen Xu1, Xinceng Jiang1, Lijun Zhang1, Jixiang Wu1.   

Abstract

BACKGROUND: Accumulating studies have shown that pseudogenes could become key regulators in human cancers. Misato family member 2, pseudogene (MSTO2P) is overexpressed in lung and gastric cancer and affects the biological functions of tumor cells. However, the role of MSTO2P in hepatocellular carcinoma (HCC) is unreported.
PURPOSE: This study aimed to examine the diagnostic and prognostic value of MSTO2P in HCC, to investigate the effects of MSTO2P on the biological functions of HCC cells, and to explore the potential mechanisms of MSTO2P in HCC.
METHODS: Relevant data on HCC were downloaded from the Gene Expression Omnibus database and the Cancer Genome Atlas database and used to analyze MSTO2P expression and the role of MSTO2P in HCC prognosis. MSTO2P in HCC cell lines was knocked down by shRNA to study the effects of MSTO2P on cell proliferation, apoptosis, metastasis and invasion in HCC. Expressions of the main proteins involved in epithelial-mesenchymal transition and the PI3K/AKT/mTOR signaling pathway in HCC were examined via Western blot analysis.
RESULTS: MSTO2P had significant diagnostic and prognostic value in HCC. MSTO2P was highly expressed in HCC tissues and cells, and MSTO2P increased HCC cell proliferation, invasion and metastasis. MSTO2P knockdown also increased E-cadherin expression and decreased N-cadherin and Vimentin expression. Additionally, MSTO2P increased the expressions of proteins in the PI3K/AKT/mTOR pathway, including PI3K, p-AKT and p-mTOR.
CONCLUSION: MSTO2P might be used as a potential target for diagnosing and curing HCC. MSTO2P may affect HCC cell proliferation, apoptosis, metastasis and invasion through the PI3K/AKT/mTOR pathway.
© 2020 Yan et al.

Entities:  

Keywords:  MSTO2P; epithelial–mesenchymal transition; hepatocellular carcinoma

Year:  2020        PMID: 32273728      PMCID: PMC7109319          DOI: 10.2147/OTT.S245741

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Hepatocellular carcinoma (HCC) has high morbidity and mortality. HCC is reported to be the fifth most common cancer in men and the ninth most common cancer in women.1 The incidence of liver cancer is related to many factors, such as hepatitis B, hepatitis C, alcoholic hepatitis, and steatohepatitis.2–4 According to the Barcelona Clinic Liver Cancer (BCLC)5 staging, liver cancer treatments include surgical resection, radiofrequency ablation, arterial chemoembolization, and liver transplantation. Although great progress has been made in diagnosing and treating liver cancer, its recurrence remains high; thus, tumor markers are still needed for early diagnosis and prognosis of liver cancer. Pseudogenes were first reported in 19776 and were not initially considered to have transcriptional activity or protein coding capacity. In 2012, Kalyana-Sundaram et al detected 2082 pseudogene transcripts in 293 tissue samples, of which, 218 were expressed in cancer samples.7 In 2014, Han et al suggested that pseudogenes could be used as biomarkers for cancer and to determine disease prognosis.8 In addition to their traditional roles as antisense RNA,9 endo-siRNA or esiRNA,10–13 pseudogenes can serve as endogenous competitors for miRNA, RNA-binding proteins19 and translation machinery.14–18 As a pseudogene, misato family member 2, pseudogene (MSTO2P) is highly expressed in gastric cancer20 and lung cancer21 and affects the biological characteristics of these cancers. However, whether MSTO2P influences HCC occurrence and development remains unclear. In our study, we first determined the prognostic value and the molecular regulatory mechanism of pseudogene MSTO2P in HCC based on bioinformatics, clinical analysis and in vitro validation. We found that MSTO2P was related to the biological functions of liver cancer and affected the prognosis of HCC patients.

Materials and Methods

Analysis of MSTO2P Expression in HCC Based on the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) Database

To verify whether MSTO2P is overexpressed in HCC patients, 424 samples containing MSTO2P gene expression data were studied based on the TCGA database (), of which, 374 were HCC patients, and 50 were non-HCC patients. Next, 10 microarrays were searched in the GEO database () based on the GPL570 platform, and each microarray included MSTO2P gene expression data from normal liver tissue and HCC tissue. All data were analyzed using SPSS 22.0 software (IBM, USA); p<0.05 was considered significant. Stata 15.0 software (StataCorp LLC., USA) was used for the meta-analysis of the TCGA and GEO data. The diagnostic value of MSTO2P in HCC was evaluated via a receiver operating characteristic (ROC) curve.

Prognostic Value of MSTO2P in HCC Based on Clinical Data

Clinical information on HCC patients was downloaded from the TCGA database and used to investigate the effect of MSTO2P on the prognosis of HCC patients. Each sample included survival time, survival status, age, gender, pathological grade, clinical stage and MSTO2P gene expression data. RMS, foreign and survival packages in R software were used to establish a nomogram prediction model based on the multivariate Cox regression analysis, and the model was evaluated via the calibration curve.

Gene Ontology Function and Kyoto Encyclopedia of Genes and Genomes Pathway Analysis

To understand how MSTO2P affects tumorigenesis and HCC development, we selected MSTO2P-associated genes in humans via the Multi Experiment Matrix (MEM) database () and performed Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment through DAVID 6.8 (). The results were visualized using the ggplot2 and GOplot packages in R software.

Tissue Samples and Cell Cultures

This study was approved by the Ethics Committee of Beijing Tongren Hospital. All HCC and adjacent normal liver tissues used in the study were collected at Beijing Tongren Hospital affiliated to Capital Medical University. No patients underwent other treatments prior to surgery. Written informed consent, which was in accordance with the Declaration of Helsinki, was obtained from each patient. The normal liver cell line, L02, and the HCC cell lines, HepG2, Huh-7, Hep3B, SMMC7721, QSG7701, and BEL7402, were purchased from the Cancer Hospital Chinese Academy of Medical Sciences. Dulbecco’s modified Eagle’s medium, RPMI-1640 cell culture media, fetal bovine serum, trypsin, and 100X penicillin-streptomycin solution were purchased from Gibco (Waltham, MA, USA). The cells were cultured in an incubator at 37°C with 5% CO2.

Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR)

Total RNA was extracted from the tissues and the L02, HepG2, Huh-7, Hep3B, SMMC7721, QSG7701, and BEL7402 cells using TRIzol reagent (Vazyme, Nanjing, China). The GoScript™ cDNA Synthesis Kit (Promega, WI, USA) was used to synthesize the cDNA. All steps were performed per the manufacturer’s protocol. The primers were as follows: GAPDH forward 5′-TCATTGACCTCAACTACATGG-3′ and reverse 5′-TCGCTCCTGGAAGATGGTG-3′ and MSTO2P forward 5′-CAGGGCGGGGAATAATAACT-3′ and reverse 5′-GGAACACAGGCGATAAGGAA-3′. We used the 2−ΔΔCT method to determine the relative expressions of MSTO2P in the tissues and cell lines.

Cell Transfection

To investigate the knockdown effect of MSTO2P in vitro, the MSTO2PshRNA (#1, #2, #3) and MSTO2PshRNANC plasmids were introduced into HepG2 and BEL7402 cells, respectively. The transfected cells were cultured at 37°C in a 5% CO2 incubator. qPCR was used to detect MSTO2P and the internal reference, GAPDH, in transfected cells 48 hrs after transfection. All experiments were performed in triplicate per the experimental procedures.

Effects of Silencing MSTO2P on Cell Function

The MSTO2PshRNA plasmid was introduced into 293T cells to generate a high titer of the lentivirus containing MSTO2P shRNA. Twenty microliters of virus and polybrene (Sigma, St. Louis, MO, USA) at a final concentration of 4 µg/mL was added to a cell culture dish. Cells were incubated for 48 hrs at 37°C. The complete medium of 1 µg/mL puromycin (Sigma) was used for resistance screening. After 3–4 generations, the collected cells were used to detect the levels of apoptosis, cell cycles, cell clone formation, migration ability and cell invasion ability. Each experiment was performed in triplicate.

Effects of Silencing MSTO2P on Apoptosis (Apoptosis Analysis)

After centrifugation, the cell culture medium was mixed with propidium iodide (PI; Cwbiotech, Beijing, China) and Annexin V-FITC staining solution (Cwbiotech), then incubated at room temperature for 20 mins. Aluminum foil (Miaojie, Shanghai, China) was used to prevent exposure to light. Flow cytometry (BD Biosciences, San Jose, CA, USA) analysis showed Annexin V-FITC staining as green fluorescence and PI staining as red fluorescence.

Effects of MSTO2P Silencing on the Cell Cycle (Cell Cycle Analysis)

PI staining solution (0.5 mL) was added to each tube, the cell precipitates were slowly and fully suspended, and the cell suspensions were incubated at 37°C for 30 mins in a dark, warm bath. Flow cytometry was used to detect red fluorescence at the excitation wavelength of 488 nm; light scattering was detected simultaneously. Flow cytometry analysis was completed within 24 hrs after staining.

Effect of MSTO2P Silencing on Cell Proliferation Ability (Colony-Formation Assay)

The cells were blown into a single-cell suspension with the corresponding medium, then inoculated into a 6-well plate. The cells were cultured for 7 days in an incubator at 37°C. The medium was removed, and 1 mL of crystal violet staining solution (Solarbio, Beijing, China) was added to each hole. The crystal violet was then removed, and images were captured.

Effects of MSTO2P Silencing on Cell Migration (Wound-Healing Assay)

A straight line was drawn along the center of the medium with a 200-µL pipette tip. Phosphate-buffered saline (Solarbio) was used to remove loose cells, which were added to the culture medium. Photos were taken to assess differences in cell migration between the shRNA and scramble groups.

Effect of MSTO2P Silencing on Cell Invasion Ability (Transwell Assay)

Matrigel (25 μL; BD Biosciences) and 200 μL of the cell suspensions were added into the upper chambers of Transwell plates (Corning, NY, USA). Complete culture medium (700 μL; Gibco) was added into the subchambers of the Transwell plates. The cells were incubated for 24 hrs, then stained with crystal violet solution for 30 mins. Images were captured to evaluate the cell invasion ability.

Western Blotting

RIPA buffer cell lysate (100 μL; Cwbiotech) and an ultrasonic fragmentation apparatus (Scientz, Ningbo, China) were used to lyse cells. A bicinchoninic acid (BCA) kit (Cwbiotech) was used to determine the protein concentration. A 10% SDS-PAGE gel (Cwbiotech) and 100-V stable electrophoresis (Biorad, CA, USA) were configured based on the molecular weight of the detected target protein. The electrophoresis stopped when the loading-buffer dye reached the bottom of the gel, then the membrane was wet-transferred. The cells were sealed with 5% skim milk powder (TBST) for 1 hr. When the primary antibody incubation was complete, the membrane was washed with TBST. The secondary antibody was diluted with TBST (Cwbiotech) sealant and incubated for 1 hr.

Statistical Analysis

All experiments were repeated three times, and the experimental data are expressed as the mean ± SD. SPSS 22.0 software (IBM, USA), Stata 15.0 software (StataCorp LLC., USA) and GraphPad Prism 8 software (GraphPad Software Inc., USA) were used for statistical analysis. One-way analysis of variance or an unpaired Student’s t-test were used for between-group comparisons. Differences with P<0.05 were considered statistically significant.

Results

MSTO2P Was Highly Expressed in HCC Tissues Based on the TCGA and GEO Databases

Ten GEO datasets (GSE29721, GSE45267, GSE45436, GSE55092, GSE62232, GSE6764, GSE84402, GSE102097, GSE107170, and GSE121248) with MSTO2P expression data in the GEO database were collected. Table 1 lists the details for the 10 GEO datasets and TCGA data. MSTO2P was highly expressed in GSE29721, GSE45267, GSE45436, GSE55092, GSE62232, GSE84402, GSE102097, GSE107170, and GSE121248 and the TCGA database (Figure 1A–E, G–K). There was no significant difference in GSE6764 (Figure 1F). A meta-analysis was used to integrate the data downloaded from the GEO and TCGA databases. The standard mean difference (SMD) of MSTO2P expression was 1.80 (95% CI: 1.26–2.33; I2=92.7%; P<0.001) by the random-effects model (Figure 2A and B). MSTO2P was overexpressed in HCC tissues compared with normal liver tissues. The ROC curve suggested that MSTO2P had good diagnostic value for HCC (Figure 3A–K).
Table 1

GEO and TCGA Data

GEOPlatformNormalHCCP-valueSMD95% CI
GSE29721GPL5701010p<0.0012.351.18,3.51
GSE45267GPL5704146p<0.0011.751.25,2.25
GSE45436GPL5704193p<0.0012.011.57,2.45
GSE55092GPL5709149p<0.0013.382.85,3.91
GSE62232GPL5701081p<0.0011.110.44,1.79
GSE6764GPL5701035P>0.050.59−0.13,1.30
GSE84402GPL5701414p<0.051.050.25,1.84
GSE102097GPL570105152p<0.0011.801.50,2.09
GSE107170GPL57013694p<0.0013.142.75,3.53
GSE121248GPL5703770p<0.0011.681.22,2.14
TCGANone50374p<0.0010.860.56,1.16

Abbreviations: GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas; HCC, hepatocellular carcinoma.

Figure 1

MSTO2P expression in HCC based on GEO and TCGA databases.

Notes: (A–J) MSTO2P expression level in HCC tissues and normal liver tissues in ten GEO datasets. (K) MSTO2P was highly expressed in HCC tissues compared with that in normal liver tissues from TCGA. (ns, no significance, *P<0.05, ***P<0.001).

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas.

Figure 2

Forest plots for evaluating MSTO2P expression in HCC.

Notes: (A) A meta-analysis was performed to evaluate MSTO2P expression levels between HCC tissues and adjacent liver tissues according to the GEO and TCGA databases. MSTO2P was highly expressed in HCC tissues compared with normal tissues. (B) Sensitivity analysis showed that the results had great reliability.

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas; SMD, Standard Mean Difference.

Figure 3

Diagnostic value of MSTO2P in HCC based on GEO and TCGA databases.

Notes: The diagnostic value of MSTO2P in HCC was analyzed via ROC curve. MSTO2P had a significant diagnostic value for HCC in GSE29721 (A), GSE45267 (B), GSE45436 (C), GSE55092 (D), GSE62232 (E), GSE6764 (F), GSE84402 (G), GSE102097 (H), GSE107170 (I), GSE121248 (J) and TCGA (K).

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; ROC, receiver operating characteristic; AUC, area under the curve.

GEO and TCGA Data Abbreviations: GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas; HCC, hepatocellular carcinoma. MSTO2P expression in HCC based on GEO and TCGA databases. Notes: (A–J) MSTO2P expression level in HCC tissues and normal liver tissues in ten GEO datasets. (K) MSTO2P was highly expressed in HCC tissues compared with that in normal liver tissues from TCGA. (ns, no significance, *P<0.05, ***P<0.001). Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas. Forest plots for evaluating MSTO2P expression in HCC. Notes: (A) A meta-analysis was performed to evaluate MSTO2P expression levels between HCC tissues and adjacent liver tissues according to the GEO and TCGA databases. MSTO2P was highly expressed in HCC tissues compared with normal tissues. (B) Sensitivity analysis showed that the results had great reliability. Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA, the Cancer Genome Atlas; SMD, Standard Mean Difference. Diagnostic value of MSTO2P in HCC based on GEO and TCGA databases. Notes: The diagnostic value of MSTO2P in HCC was analyzed via ROC curve. MSTO2P had a significant diagnostic value for HCC in GSE29721 (A), GSE45267 (B), GSE45436 (C), GSE55092 (D), GSE62232 (E), GSE6764 (F), GSE84402 (G), GSE102097 (H), GSE107170 (I), GSE121248 (J) and TCGA (K). Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; ROC, receiver operating characteristic; AUC, area under the curve.

MSTO2P Was Related to HCC Patient Prognoses Based on Clinical Data Downloaded from TCGA

We analyzed the clinical data of 344 HCC patients from TCGA. In the nomogram prognostic model based on multifactor analysis, patients with high MSTO2P expression had higher scores and worse 3-year and 5-year survival rates compared with patients with low MSTO2P expression (Figure 4A). Calibration curves were used to verify the model; no deviations from the reference line indicated that the model was highly credible (Figure 4B and C). Our results suggested that MSTO2P had significant prognostic value for HCC patients.
Figure 4

Prognostic value of MSTO2P in HCC through the construction of a nomogram prediction model based on TCGA database.

Notes: (A) Compared with patients with low MSTO2P expression, the nomogram prognostic model showed that patients with high MSTO2P expression had higher scores and worse 3-year and 5-year survival rates. (B, C) Calibration curves indicated that the model was highly credible.

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

Prognostic value of MSTO2P in HCC through the construction of a nomogram prediction model based on TCGA database. Notes: (A) Compared with patients with low MSTO2P expression, the nomogram prognostic model showed that patients with high MSTO2P expression had higher scores and worse 3-year and 5-year survival rates. (B, C) Calibration curves indicated that the model was highly credible. Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

GO and KEGG Analysis

GO items were classified into three major groups: biological processes (BP), cellular components (CC), and molecular functions (MF). Significantly enriched GO terms, including cell cycle, M phase, cellular response to stress, DNA replication, DNA repair, damaged DNA binding, RNA splicing, RNA modification, RNA polymerase activity, methylation, and 3ʹ–5ʹ-exoribonuclease activity, were discovered and indicated that MSTO2P might be related to HCC oncogenesis (Figure 5A–C). Table 2 shows the KEGG analysis results.
Figure 5

GO function analysis of MSTO2P.

Notes: GO function analysis was performed using DAVID. (A) GO terms were divided into three groups: the biological process, cell composition, and molecular function groups. (B) GO terms and their P-values were visualized via the ggplot2 package in R software. (C) Significant cancer-related GO terms and their major related genes were visualized using the GOplot package in R software.

Abbreviations: MSTO2P, misato family member 2, pseudogene; GO, Gene Ontology.

Table 2

KEGG Analysis of MSTO2P-Related Genes in HCC

IDTermP valueGenes
hsa03040Spliceosome2.21E-15NCBP2, NCBP1, CHERP, NHP2L1, PPIL1, SNRPD3, SNRPD1, SF3B5, BUD31, SF3B4, SART1, SF3B3, SF3B2, CTNNBL1, PRPF19, HNRNPM, PLRG1, USP39, U2AF1, PQBP1, MAGOHB, DHX16, LSM4, LSM3, LSM2, DDX42, PRPF31, EFTUD2, PRPF3, PRPF4, HNRNPU, PPIE, SNRPB, SNRPA, SNRNP40, SNRPC, SNRPF, PUF60, TXNL4A, THOC1, PRPF38A
hsa03050Proteasome4.56E-15PSMA7, PSMB5, PSMF1, PSMB4, PSMB7, PSMB6, PSMB1, PSMB3, PSMB2, PSMD1, PSMD2, PSMD3, PSMD4, PSMD8, PSMC5, PSMD13, PSMA6, PSMD12, PSMC4, PSMD11, PSMC3, PSMA5, PSMA4, PSME3, PSME4
hsa00970Aminoacyl-tRNA biosynthesis3.21E-11YARS, CARS, NARS, SARS, AARS, GARS, EPRS, VARS, KARS, EARS2, DTD1, IARS, WARS, TARS, NARS2, HARS2, HARS, FARSB, LARS, FARSA, MARS
hsa03020RNA polymerase2.96E-10POLR3G, POLR2H, POLR2F, POLR3H, POLR1E, POLR3K, POLR2L, POLR2I, POLR1A, POLR1C, ZNRD1, POLR1B, POLR2D, POLR3C, POLR3B, POLR3D
hsa00240Pyrimidine metabolism3.06E-10POLR2H, POLR2F, POLR2L, PNPT1, DTYMK, POLR2I, UPP1, ZNRD1, CAD, POLR2D, DHODH, ENTPD6, UCK2, DCTD, POLR3G, POLR3H, POLR1E, POLR3K, POLE, POLR1A, POLR1C, POLR1B, POLR3C, POLR3B, POLR3D, ITPA, NME2, UMPS, NME1, POLD2
hsa00510N-Glycan biosynthesis3.16E-09B4GALT3, RFT1, B4GALT2, ALG1, ALG2, ALG3, ALG5, DPAGT1, MOGS, ALG8, ALG9, STT3A, RPN1, DPM2, RPN2, ALG12, DDOST, ALG13, UTP14C
hsa03018RNA degradation1.55E-07EXOSC8, EXOSC9, EXOSC6, EXOSC7, EXOSC4, PNPT1, EXOSC5, CNOT10, EXOSC2, EXOSC3, SKIV2L2, EXOSC1, EDC3, LSM4, LSM3, HSPD1, LSM2, LSM1, HSPA9
hsa00230Purine metabolism5.41E-06POLR2H, POLR2F, POLR2L, PNPT1, POLR2I, ZNRD1, POLR2D, PPAT, PFAS, ATIC, ENTPD6, IMPDH2, POLR3G, POLR3H, POLR1E, POLR3K, POLE, POLR1A, POLR1C, DGUOK, POLR1B, POLR3C, POLR3B, APRT, GART, POLR3D, ITPA, NME2, NME1, POLD2, ADSL
hsa03030DNA replication3.13E-04MCM7, SSBP1, RFC2, POLD2, POLE, RNASEH1, RNASEH2A, MCM4, FEN1, MCM5, RPA3
hsa00450Selenoamino acid metabolism5.92E-04CTH, SEPHS2, SEPHS1, SCLY, METTL6, WBSCR22, METTL2B, MARS, HEMK1
hsa03060Protein export0.002026SRP54, SRPR, SRP68, SRP72, SRP19
hsa00670One carbon pool by folate0.006131MTHFD1, MTHFD2, SHMT2, ATIC, MTHFD1L, GART
hsa00520Amino sugar and nucleotide sugar metabolism0.006169GMPPB, PGM3, UAP1, AMDHD2, NANS, GFPT1, GNPNAT1, GMPPA, GALE, TSTA3
hsa00250Alanine, aspartate and glutamate metabolism0.008751GOT1, GFPT1, ADSL, CAD, ASNS, ASL, GPT2, PPAT
hsa05012Parkinson’s disease0.02136NDUFB10, NDUFB7, NDUFB9, NDUFA6, CYCS, UBE2J1, NDUFAB1, UBE2J2, ATP5G1, COX5A, NDUFV3, NDUFS6, NDUFS5, HTRA2, PPID, NDUFV1, NDUFS8, NDUFS1
hsa05016Huntington’s disease0.023639POLR2H, POLR2F, NDUFB10, POLR2L, NDUFB7, CREB3, NDUFB9, NDUFA6, CYCS, POLR2I, NDUFAB1, ATP5G1, POLR2D, COX5A, NDUFV3, NDUFS6, TFAM, NDUFS5, PPID, NDUFV1, NDUFS8, CREB3L2, NDUFS1
hsa00290Valine, leucine and isoleucine biosynthesis0.049248IARS, LARS, PDHA1, VARS

Abbreviations: KEGG, Kyoto Encyclopedia of Genes and Genomes; MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

KEGG Analysis of MSTO2P-Related Genes in HCC Abbreviations: KEGG, Kyoto Encyclopedia of Genes and Genomes; MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma. GO function analysis of MSTO2P. Notes: GO function analysis was performed using DAVID. (A) GO terms were divided into three groups: the biological process, cell composition, and molecular function groups. (B) GO terms and their P-values were visualized via the ggplot2 package in R software. (C) Significant cancer-related GO terms and their major related genes were visualized using the GOplot package in R software. Abbreviations: MSTO2P, misato family member 2, pseudogene; GO, Gene Ontology.

MSTO2P Was Upregulated in HCC Tissues and Cell Lines

RT-PCR analysis was used to detect MSTO2P expression in 20 pairs of HCC and adjacent normal liver tissues. The results indicated that MSTO2P was significantly overexpressed in HCC tissues compared with that in adjacent liver tissues (Figure 6A). PCR was used to detect MSTO2P expression in L02, HepG2, Huh-7, Hep3B, SMMC7721, QSG7701, and BEL7402 HCC cells. Compared with normal liver cells, MSTO2P expression was significantly higher in the HCC cell lines (P<0.05; Figure 6B). The HepG2 and BEL7402 cells had the highest MSTO2P expressions and were thus selected to study the influence of MSTO2P silencing on the biological functions of HCC cells.
Figure 6

MSTO2P expression in HCC tissues and HCC cell lines by RT-PCR analysis.

Notes: (A) MSTO2P expression was measured in HCC tissues and adjacent normal liver tissues using RT-PCR. (B) MSTO2P expression was measured in HCC cells via RT-PCR. (C) shRNA2 had the best silencing effect in HepG2 and BEL7402 cells. (D) MSTO2P knockdown constrained HCC cell colony-formation ability (*P<0.05, **P<0.01, ***P<0.001).

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; RT-PCR, reverse transcriptase polymerase chain reaction.

MSTO2P expression in HCC tissues and HCC cell lines by RT-PCR analysis. Notes: (A) MSTO2P expression was measured in HCC tissues and adjacent normal liver tissues using RT-PCR. (B) MSTO2P expression was measured in HCC cells via RT-PCR. (C) shRNA2 had the best silencing effect in HepG2 and BEL7402 cells. (D) MSTO2P knockdown constrained HCC cell colony-formation ability (*P<0.05, **P<0.01, ***P<0.001). Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma; RT-PCR, reverse transcriptase polymerase chain reaction.

shRNA with the Best Silencing Effect Was Selected

shRNA1, shRNA2 and shRNA3 were transfected into HepG2 and BEL7402 cells. MSTO2P expression was detected via PCR, and the shRNA2 with the best silencing effect was used in subsequent experiments (Figure 6C).

Silencing MSTO2P Inhibited HCC Cell Proliferation, Increased HCC Cell Apoptosis and Affected the HCC Cell Cycle

Knocking down MSTO2P in HepG2 and BEL7402 cells showed that cell proliferation was significantly reduced compared with that of the control group (Figure 6D). The results showed that MSTO2P knockdown suppressed HCC cell generation. Flow cytometry was used to detect the effects of MSTO2P knockdown on HCC cell apoptosis and cell cycles. HCC cell apoptosis was significantly increased after silencing MSTO2P compared with that of the control group (Figure 7A). HCC cells in the G0/G1 phase were increased after MSTO2P knockdown compared with those of the control group (Figure 7B).
Figure 7

Influences of silencing MSTO2P on apoptosis and cell cycle distribution in HepG2 and BEL7402 cells.

Notes: (A) Silencing MSTO2P increased apoptosis in HepG2 and BEL7402 cells via flow cytometry analysis. (B) MSTO2P knockdown arrested HCC cells in the G0/G1 phase of the cell cycle. All assays were repeated in triplicate (*P<0.05, **P<0.01, ***P<0.001).

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

Influences of silencing MSTO2P on apoptosis and cell cycle distribution in HepG2 and BEL7402 cells. Notes: (A) Silencing MSTO2P increased apoptosis in HepG2 and BEL7402 cells via flow cytometry analysis. (B) MSTO2P knockdown arrested HCC cells in the G0/G1 phase of the cell cycle. All assays were repeated in triplicate (*P<0.05, **P<0.01, ***P<0.001). Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

Silencing MSTO2P Significantly Inhibited HCC Cell Invasion and Migration

The effects of MSTO2P knockdown on HCC cell invasion and migration were detected via wound-healing and Transwell assays. HCC cell invasion and migration were significantly impeded after knocking down MSTO2P (Figure 8A and B).
Figure 8

Transfection with MSTO2P shRNA impeded mobility in HepG2 and BEL7402 cells.

Notes: (A) A wound-healing assay was used to determine HCC cell migration. Cell migration was inhibited after shRNA transfection in HepG2 and BEL7402 cells. (B) Cell invasion was determined using a Transwell assay. Cell invasion was restrained after MSTO2P knockdown in HepG2 and BEL7402 cell lines (*P<0.05, **P<0.01, ***P<0.001).

Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

Transfection with MSTO2P shRNA impeded mobility in HepG2 and BEL7402 cells. Notes: (A) A wound-healing assay was used to determine HCC cell migration. Cell migration was inhibited after shRNA transfection in HepG2 and BEL7402 cells. (B) Cell invasion was determined using a Transwell assay. Cell invasion was restrained after MSTO2P knockdown in HepG2 and BEL7402 cell lines (*P<0.05, **P<0.01, ***P<0.001). Abbreviations: MSTO2P, misato family member 2, pseudogene; HCC, hepatocellular carcinoma.

MSTO2P Might Affect HCC Cell Functions Through the PI3K/AKT/mTOR Pathway

We used Western blotting to detect the epithelial–mesenchymal transition (EMT) markers, E-cadherin, N-cadherin and Vimentin. Compared with the control group, MSTO2P knockdown yielded increased E-cadherin expression and decreased N-cadherin and Vimentin expressions. To investigate how MSTO2P affected HCC cell functions, we used Western blotting to detect the expressions of major proteins in the PI3K/AKT/mTOR signaling pathway. Silencing MSTO2P decreased the PI3K, p-AKT and p-mTOR protein expressions, but the AKT and mTOR protein expressions were not significantly changed (Figure 9). This suggested that MSTO2P might affect HCC cell functions through the PI3K/AKT/mTOR pathway.
Figure 9

Silencing MSTO2P inhibited cell proliferation, apoptosis, metastasis and invasion through the PI3K/AKT/mTOR pathway in HepG2 and BEL7402 cells.

Notes: The main proteins in the PI3K/AKT/mTOR signaling pathway and EMT in HepG2 and BEL7402 cells were measured via Western blot assay. MSTO2P knockdown decreased PI3K, p-AKT, p-mTOR, and N-cadherin and Vimentin protein expressions and increased E-cadherin protein expressions in HCC cells. All experiments were performed in triplicate. (*P<0.05, **P<0.01).

Abbreviations: MSTO2P, misato family member 2, pseudogene; EMT, epithelial–mesenchymal transition; HCC, hepatocellular carcinoma.

Silencing MSTO2P inhibited cell proliferation, apoptosis, metastasis and invasion through the PI3K/AKT/mTOR pathway in HepG2 and BEL7402 cells. Notes: The main proteins in the PI3K/AKT/mTOR signaling pathway and EMT in HepG2 and BEL7402 cells were measured via Western blot assay. MSTO2P knockdown decreased PI3K, p-AKT, p-mTOR, and N-cadherin and Vimentin protein expressions and increased E-cadherin protein expressions in HCC cells. All experiments were performed in triplicate. (*P<0.05, **P<0.01). Abbreviations: MSTO2P, misato family member 2, pseudogene; EMT, epithelial–mesenchymal transition; HCC, hepatocellular carcinoma.

Discussion

HCC is a lethal tumor with high incidence that causes great harm in China. HCC is difficult to treat because of its insidious onset and rapid invasive growth. The etiology and exact molecular mechanisms of HCC are unclear, and the HCC pathogenesis is a complex process with multiple factors and steps. Studies have shown that HCC is caused by mutations and an abnormal accumulation of multiple genes affected by multiple environmental and genetic factors, including genomic instability, abnormal cell signaling pathways, abnormal cell cycles, apoptosis, abnormal regulation of aging, and tumor angiogenesis. Therefore, the HCC pathogenesis must be clarified, and biomarkers for diagnosing and treating HCC must be determined. Pseudogenes have been called “junk genes” because they have lost the ability to code proteins. Over the years, many studies have been conducted on pseudogenes. Pseudogenes are indicated to play broad and multifaceted roles in human cancer. MSTO2P, as a pseudogene, is highly expressed in both lung and gastric cancer and affects the biological functions of lung cancer and gastric cancer cells. Here, we used 10 GEO datasets and TCGA data to analyze MSTO2P expression in liver cancer, then meta-analysis was used to integrate the results. MSTO2P expression in the liver cancer tissues was significantly higher than that in the normal tissues. We also performed ROC curve and nomogram prediction model analysis based on clinical data from 344 HCC patients downloaded from TCGA. The results revealed that MSTO2P had good diagnostic and prognostic benefits. Subsequently, we examined MSTO2P expression in HCC tissues and cell lines and found that MSTO2P was highly expressed in both HCC tissues and cell lines. We performed GO functional annotation analysis using DAVID 6.8 and discovered that pseudogene MSTO2P might influence the pathogenic processes of HCC, including the cell cycle, M phase, cellular response to stress, DNA replication, DNA repair, damaged DNA binding, and RNA splicing. Next, we selected two cell lines with high expression levels to explore the biological effects of MSTO2P on HCC cell functions. The regulatory mechanism of MSTO2P in HCC cells in vitro was also examined. Our results demonstrated that MSTO2P knockout significantly inhibited HCC cell proliferation, metastasis and invasion and increased HCC cell apoptosis, revealing pseudogene MSTO2P can exert a tumorigenesis-promoting effect on HCC. EMT is associated with the development of some chronic diseases and invasion and metastasis of epithelial-derived tumors.22,23 We examined the EMT markers, E-cadherin, N-cadherin, and Vimentin. The results suggested that E-cadherin was increased, and N-cadherin and Vimentin were decreased after MSTO2P knockdown. We think that MSTO2P promotes EMT in HCC. The PI3K/AKT/mTOR pathway is triggered in several cancers and plays a critical role in regulating physiological processes such as cell proliferation, the cell cycle, apoptosis, metabolism and migration.24 Previous studies have shown that the PI3K/AKT signaling pathway affects cancer metastasis and invasion by affecting the EMT of tumor cells.25,26 The PI3K/AKT pathway also induces EMT by interacting with other signaling pathways such as TGF-b,27 NF-kB,28 and Wnt/β-catenin.29 In our study, we carried out KEGG pathway analysis on the target genes of MSTO2P but found no clear pathway associated with HCC. Previous studies have indicated that the PI3K/AKT pathway can play an important role in the cell cycle and the EMT process in cancers, and our results showed that MSTO2P affected the cell cycle and the EMT of HCC. Thus, we evaluated whether MSTO2P could affect the EMT and other physiological processes of HCC through the PI3K/AKT pathway, and we detected the proteins involved in the PI3K/AKT pathway. PI3K, p-AKT and p-mTOR expressions were significantly reduced after MSTO2P knockout, indicating that MSTO2P might affect the biological functions of HCC cells through the PI3K/AKT/mTOR pathway. Additional experiments are needed to verify this. Our research had some limitations. Our study on the prognostic value of MSTO2P for HCC was based on a retrospective analysis, and a prospective cohort is needed to confirm our results. Further experiments including vivo animal models are also needed to elucidate the biological mechanism of MSTO2P in HCC.

Conclusions

This study was the first to elaborate the diagnostic value, prognostic value and molecular regulatory mechanism of MSTO2P in HCC cells. MSTO2P was significantly overexpressed in HCC tissues and cells and highly correlated with HCC patient prognoses. In addition, our experiment confirmed that MSTO2P affected the EMT of liver cancer cells and may affect HCC cell proliferation, apoptosis, metastasis and invasion through the PI3K/AKT/mTOR pathway. These results suggest that MSTO2P may be a therapeutic target with good diagnostic and prognostic value for HCC tissues and cells.
  28 in total

1.  An extensive microRNA-mediated network of RNA-RNA interactions regulates established oncogenic pathways in glioblastoma.

Authors:  Pavel Sumazin; Xuerui Yang; Hua-Sheng Chiu; Wei-Jen Chung; Archana Iyer; David Llobet-Navas; Presha Rajbhandari; Mukesh Bansal; Paolo Guarnieri; Jose Silva; Andrea Califano
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

2.  Pseudogene-derived small interfering RNAs regulate gene expression in mouse oocytes.

Authors:  Oliver H Tam; Alexei A Aravin; Paula Stein; Angelique Girard; Elizabeth P Murchison; Sihem Cheloufi; Emily Hodges; Martin Anger; Ravi Sachidanandam; Richard M Schultz; Gregory J Hannon
Journal:  Nature       Date:  2008-04-10       Impact factor: 49.962

3.  A transcribed pseudogene of MYLK promotes cell proliferation.

Authors:  Yoo Jeong Han; Shwu Fan Ma; Gregory Yourek; Yoon-Dong Park; Joe G N Garcia
Journal:  FASEB J       Date:  2011-03-25       Impact factor: 5.191

Review 4.  Mechanisms of fibrogenesis in liver cirrhosis: The molecular aspects of epithelial-mesenchymal transition.

Authors:  Sun-Jae Lee; Kyung-Hyun Kim; Kwan-Kyu Park
Journal:  World J Hepatol       Date:  2014-04-27

Review 5.  Molecular mechanism of viral hepatocarcinogenesis.

Authors:  Kazuhiko Koike; Takeya Tsutsumi; Hajime Fujie; Yoshizumi Shintani; Moriya Kyoji
Journal:  Oncology       Date:  2002       Impact factor: 2.935

6.  Neuronal expression of neural nitric oxide synthase (nNOS) protein is suppressed by an antisense RNA transcribed from an NOS pseudogene.

Authors:  S A Korneev; J H Park; M O'Shea
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

Review 7.  The epithelial-mesenchymal transition (EMT) phenomenon.

Authors:  P Savagner
Journal:  Ann Oncol       Date:  2010-10       Impact factor: 32.976

8.  Activation of NF-kappaB by Akt upregulates Snail expression and induces epithelium mesenchyme transition.

Authors:  S Julien; I Puig; E Caretti; J Bonaventure; L Nelles; F van Roy; C Dargemont; A Garcia de Herreros; A Bellacosa; L Larue
Journal:  Oncogene       Date:  2007-06-11       Impact factor: 9.867

Review 9.  Endogenous small interfering RNAs in animals.

Authors:  Katsutomo Okamura; Eric C Lai
Journal:  Nat Rev Mol Cell Biol       Date:  2008-09       Impact factor: 94.444

10.  Role of aberrant PI3K pathway activation in gallbladder tumorigenesis.

Authors:  Andrea Lunardi; Kaitlyn A Webster; Antonella Papa; Bhavik Padmani; John G Clohessy; Roderick T Bronson; Pier Paolo Pandolfi
Journal:  Oncotarget       Date:  2014-02-28
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  5 in total

1.  Pseudogene MSTO2P Interacts with miR-128-3p to Regulate Coptisine Sensitivity of Non-Small-Cell Lung Cancer (NSCLC) through TGF-β Signaling and VEGFC.

Authors:  Minwei Gu; Xinlian Wang
Journal:  J Oncol       Date:  2022-06-26       Impact factor: 4.501

2.  MCM10 Acts as a Potential Prognostic Biomarker and Promotes Cell Proliferation in Hepatocellular Carcinoma: Integrated Bioinformatics Analysis and Experimental Validation.

Authors:  Wei Wan; Yu Shen; Quanxi Li
Journal:  Cancer Manag Res       Date:  2020-10-05       Impact factor: 3.989

3.  KIF14 and KIF23 Promote Cell Proliferation and Chemoresistance in HCC Cells, and Predict Worse Prognosis of Patients with HCC.

Authors:  Chunxia Cheng; Xingxing Wu; Yu Shen; Quanxi Li
Journal:  Cancer Manag Res       Date:  2020-12-23       Impact factor: 3.989

4.  LncRNA MSTO2P promotes colorectal cancer progression through epigenetically silencing CDKN1A mediated by EZH2.

Authors:  Mengjun Guo; Xiling Zhang
Journal:  World J Surg Oncol       Date:  2022-03-26       Impact factor: 2.754

Review 5.  The World of Pseudogenes: New Diagnostic and Therapeutic Targets in Cancers or Still Mystery Molecules?

Authors:  Maciej Stasiak; Tomasz Kolenda; Joanna Kozłowska-Masłoń; Joanna Sobocińska; Paulina Poter; Kacper Guglas; Anna Paszkowska; Renata Bliźniak; Anna Teresiak; Urszula Kazimierczak; Katarzyna Lamperska
Journal:  Life (Basel)       Date:  2021-12-07
  5 in total

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