Literature DB >> 28405687

GINS2 is a novel prognostic biomarker and promotes tumor progression in early-stage cervical cancer.

Fei Ouyang1, Junling Liu2, Meng Xia1, Chuyong Lin3, Xianqiu Wu3, Liping Ye3, Libing Song3, Jun Li4, Jing Wang1, Peng Guo1, Mian He1.   

Abstract

GINS complex subunit 2 (GINS2), a member of the GINS complex, is involved in DNA replication. GINS2 is upregulated in a variety of aggressive tumors. However, its role in cervical cancer carcinogenesis remains to be elucidated. We investigated the clinical significance of GINS2 in patients with early-stage cervical cancer and its biological functions in cervical cancer progression. GINS2 expression was analyzed in cervical cancer cell lines and in 8 matched cervical cancer samples at the mRNA and protein levels using real-time PCR and western blotting, respectively. GINS2 protein expression in 155 paraffin-embedded cervical cancer specimens was validated using immunohistochemistry. Statistical analysis was used to evaluate its clinicopathological significance. Short hairpin RNA interference, anchorage-independent growth ability, colony formation assay, wound healing ability, Transwell assays and western blotting were used to determine the effects of GINS2 on the aggressive phenotype of cervical cancer cells. There was obvious upregulation of GINS2 in the cervical cancer cell lines and tumor specimens compared to that in the normal cervical tissues. Significant correlations were identified between GINS2 expression and squamous cell carcinoma antigen (SCC-Ag; P<0.001), deep stromal invasion (P=0.021), vital status (P<0.001), recurrence (P<0.001) and pelvic lymph node metastasis (PLNM; P<0.001). Moreover, patients with higher GINS2 expression had shorter overall survival (OS) compared to patients with low GINS2 expression. Multivariate analysis revealed that GINS2 may serve as an independent risk factor of poor prognosis in early-stage cervical cancer. In addition, GINS2 downregulation markedly suppressed cell proliferation and tumorigenic ability, as well as cell migration and invasion. Our findings suggest that GINS2 is a novel indicator of PLNM and a valuable prognostic biomarker in early-stage cervical cancer, and subsequently is a valuable molecular target for cervical cancer diagnosis and treatment.

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Year:  2017        PMID: 28405687      PMCID: PMC5428920          DOI: 10.3892/or.2017.5573

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


Introduction

Cervical cancer, a prevalent gynecological malignancy, is the fourth leading cause of cancer-related death in women worldwide, with an estimated 527,600 new cases and 265,700 deaths worldwide in 2012 (1). The majority of cases occur in developing countries and shows a trend for younger patients (2). Despite the decreasing incidence and mortality rate of cervical cancer in recent years owing to improved diagnosis and treatment, the clinical outcome for patients with advanced-stage disease remains bleak (2). Moreover, lymph node metastasis (LNM) can cause higher mortality and recurrence rates, even in patients with early-stage cervical cancer, and definite information on lymph node status is essential for tailoring adjuvant treatment (3,4). However, no sensitive biomarkers specific for indication of LNM, and the early detection and prognosis of cervical cancer are available to date. Therefore, it is urgent to identify novel molecular markers of cervical cancer to facilitate a more accurate prediction of clinical outcome and to prescribe effective treatment. GINS complex subunit 2 (GINS2), also known as PSF2, encodes a protein with a molecular weight of ~21 kDa. GINS2 belongs to the GINS complex family that also consists of GINS2, GINS3 and GINS4 (5). The GINS complex has been identified as playing a critical role in the initiation of DNA replication and the cell cycle. Stably interacting with minichromosome maintenance (MCM) 2–7 complex and CDC45, the GINS family functions to correctly establish and maintain DNA replication forks (5). Moreover, GINS components may play a role in cell division, and more accurately, in chromosome segregation (6). GINS2 was reported to be involved in tumorigenesis in several types of cancers. For example, genome-wide gene expression profile analysis revealed that GINS2 is highly expressed in lung carcinoma (7). Zheng et al indicated that GINS2 is correlated with aggressive characteristics of breast cancer, and speculated that it is involved in lung metastasis (8). In addition, enhanced expression of GINS2 was found to promote leukemia cell proliferation and desensitize cells to apoptosis (9). These findings all suggest that GINS2 plays an important role in cancer progression. However, the clinical significance of GINS2 in cervical cancer has not been investigated. In the present study, we explored the GINS2 expression pattern and its clinical implication and prognostic significance in early-stage cervical cancer. Furthermore, we gained insight into the important functions of this protein in cervical cancer development.

Materials and methods

Cell lines

Six cervical cancer cell lines, SiHa, HeLa, C33A, Caski, MS751 and ME180, were purchased from the American Type Culture Collection (ATCC; Rockville, MD, USA), and HCC94 and HeLa299, were purchased from the Cell Bank of the Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). The cell lines were all cultured in RPMI-1640 medium (Gibco, Grand Island, NY, USA) supplemented with 10% fetal bovine serum (FBS) (HyClone Laboratories, Logan, UT, USA) and 1% antibiotics.

Patients and samples

In the present study, we enrolled 155 patients with cervical cancer who underwent radical hysterectomy and lymphadenectomy at The First Affiliated Hospital, Sun Yat-sen University. All patients had stage IA2-IIA disease and received treatment from January 2007 to December 2009. The clinical staging and clinicopathological classifications were determined according to the International Federation of Obstetrics and Gynecology (FIGO), 2009. The clinicopathological characteristics of the enrolled cases are summarized in Table I. The follow-up duration for all patients was >5 years and the last follow-up date was January 2014. Survival was counted from the date of surgery to the date of death or the last follow-up. Eight paired fresh cervical tumor tissues and the adjacent normal tissues were collected for real-time PCR and western blotting. All paraffin-embedded and fresh tissues used in the present study were obtained with the consent of each patient and with institutional research ethics committee approval.
Table I.

Clinicopathological features and GINS2 expression of patients (n=155) with early-stage cervical cancer.

CharacteristicsNo. of cases (%)
Age (years)
  ≤4778 (50.3)
  >4777 (49.7)
FIGO stage
  Ia18 (11.6)
  Ib83 (53.5)
  IIa54 (34.9)
Histological type
  Squamous cell carcinoma149 (96.1)
  Adenocarcinoma6 (3.9)
Pelvic lymph node metastasis (PLNM)
  No99 (63.9)
  Yes56 (36.1)
Tumor size (cm)
  ≤4132 (85.2)
  >423 (14.8)
SCC-Ag (ng/ml)
  ≤1.591 (58.7)
  >1.564 (41.3)
Deep stromal invasion
  No49 (31.6)
  Yes106 (68.4)
Lymphovascular space involvement
  No146 (94.2)
  Yes9 (5.8)
Positive surgical margin
  No149 (96.1)
  Yes6 (3.9)
Positive parametrium
  No149 (96.1)
  Yes6 (3.9)
Tumor recurrence
  No137 (88.4)
  Yes18 (11.6)
Vital status (at follow-up)
  Alive126 (81.3)
  Dead29 (18.7)
Expression of GINS2
  Low or no expression48 (31.0)
  High expression107 (69.0)

GINS2, complex subunit 2; SCC-Ag, squamous cell carcinoma antigen; FIGO, International Federation of Obstetrics and Gynecology.

Plasmids

To silence endogenous GINS2 expression, the following 2 short hairpin RNAs (shRNAs) were synthesized and purchased: GINS2 shRNA1, CCGGATCCCGAAGGCA GACGAAATCCTCGAGGATTTCGTCTGCCTTCGGGAT TTTTTG; GINS2 shRNA2, CCGGGAATGGATTCAGGAT GTTGTTCTCGAGAACAACATCCTGAATCCATTCTTT TTG. The shRNA sequences were cloned into pSuper-retro-neo plasmids to generate the respective pSuper-retro-GINS2-RNAi(s). After 48 h infection, the SiHa and HeLa cell lines stably expressing the GINS2 shRNAs were selected with puromycin (0.5 µg/ml).

Real-time PCR

Total RNA from cervical cancer cells and fresh tumor tissues was extracted using TRIzol (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. The isolated RNA was pretreated with RNase-free DNase, and 2 µg RNA/sample was used for complementary DNA (cDNA) synthesis. For the PCR amplication of GINS2 cDNA, an initial amplification step using CINS2-specific primers was performed with denaturation at 95̊C for 10 min, followed by 28 denaturation cycles at 95̊C for 60 sec, primer annealing at 58̊C for 30 sec, and a primer extension phase at 72̊C for 30 sec. Upon completion of the cycling steps, a final extension step at 72̊C for 5 min was performed before the reaction mixture was stored at 4̊C. Quantitative PCR (qPCR) was then conducted to determine the increase in GINS2 mRNA in each of the primary cervical tumors relative to the paired normal cervical tissue from the same patient and in the 8 cervical cancer cell lines relative to that in normal cervical tissue. Expression data were normalized to the geometric mean of the expression level of the housekeeping gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH). The primers were designed using Primer Express v 2.0 software (Applied Biosystems, Foster City, CA, USA). The GINS2 forward and reverse primer sequences were: 5′-GCTGGCGATTAACCTGAAAC-3′ and 5′-TTCCTTTCGTTCATGATCCC-3′, respectively. The GAPDH forward and reverse primers were: 5′-TTGAGGTCAATGAAGGGGTC-3′ and 5′-GAAGGTGAAGGTCGGAGTCA-3′, respectively.

Western blotting

Cells at 80–90% confluence were washed twice with ice-cold phosphate-buffered saline (PBS) and lysed on ice in radioimmunoprecipitation assay buffer (RIPA; Cell Signaling Technology, Danvers, MA, USA) containing complete protease inhibitor cocktail (Roche Applied Sciences, Mannheim, Germany). Fresh tissue samples were ground to powder in liquid nitrogen and lysed with SDS-PAGE sample buffer. Protein concentration was determined by the Bradford assay (Bio-Rad Laboratories, Hercules, CA, USA). Equal protein samples (30 µg) extracted from the cervical cancer cell lines and tissues were electrophoretically separated on 10.5% sodium dodecyl sulfate (SDS)/polyacrylamide gels, and transferred onto polyvinylidene difluoride (PVDF) membranes (Immobilon-P; Millipore, Bedford, MA, USA). The membranes were blocked with 5% fat-free milk in Tris-buffered saline containing 0.1% Tween-20 (TBST) for 1 h at room temperature. The membranes were then incubated with anti-GINS2 rabbit monoclonal antibody (1:2,000; HPA057285; Sigma, St. Louis, MO, USA) overnight at 4̊C. After washing 3 times with TBST, the membranes were probed with horseradish peroxidase-conjugated goat anti-rabbit immunoglobulin G (1:2,000; SC-2004; Santa Cruz Biotechnology, Santa Cruz, CA, USA), and protein expression was detected by enhanced chemiluminescence (Amersham Pharmacia Biotech, Piscataway, NJ, USA) according to the manufacturer's suggested protocols. An anti-α-tubulin mouse monoclonal or an anti-GAPDH mouse monoclonal antibody (1:2,000; Sigma) was used as a loading control.

Immunohistochemistry (IHC)

IHC was used to examine GINS2 expression in 155 human cervical cancer specimens. Briefly, the paraffin-embedded specimens were cut into 4-µm sections and baked at 60̊C for 1 h, deparaffinized with xylenes and rehydrated, submerged in EDTA antigen retrieval buffer, and microwaved for antigen retrieval. The samples were treated with 3% hydrogen peroxide in methanol to quench the endogenous peroxidase activity, followed by incubation with 1% bovine serum albumin to block non-specific binding. The sections were then incubated with anti-GINS2 rabbit monoclonal antibody (1:600; HPA057285; Sigma) overnight at 4̊C. Normal goat serum was used as the negative control. After washing, the sections were incubated with a biotinylated anti-rabbit secondary antibody, followed by incubation with streptavidin-horseradish peroxidase complex (both from Abcam, Cambridge, MA, USA). The sections were immersed in 3-amino-9-ethylcarbazole and counterstained with 10% Mayer's hematoxylin, dehydrated and mounted in crystal mount. Two independent observers blinded to the histopathological features and patient data of the samples evaluated and scored the degree of immunostaining. The scores were based on the proportion of positively stained tumor cells [graded as: 1 (<10% positive), 2 (10–50% positive), 3 (51–75% positive) or 4 (>75% positive)] and staining intensity [categorized as 1 (no staining), 2 (weak staining, light yellow), 3 (moderate staining, yellow brown) or 4 (strong staining, brown)]. The staining index was generated by multiplying the scores for staining intensity and for the proportion of positive cells (scored as 1, 2, 3, 4, 6, 8, 9, 12 and 16). Staining index score ≥8 indicated tumors with high GINS2 expression; a score of <8 defined low GINS2 expression. Receiver operating characteristics (ROC) curve analysis was conducted using variables including GINS2 expression and patient outcomes to determine the optimum cut-off values of the scores (Fig. 1).
Figure 1.

Receiver operating characteristics (ROC) curve analysis to determine the optimal cut-off values for IHC staining index scores and 7 was defined as the cut-off point. Accordingly, scores ≥8 were judged as high GINS2 expression and scores <8 were categorized as low GINS2 expression.

Colony formation and anchorage-independent growth ability assays

Cells (5×102/well) were plated in 6-well plates and cultured for 2 weeks. The colonies were washed with PBS 3 times and fixed with 4% formaldehyde for 10 min. Then, the colonies were stained with 1% crystal violet for 10 min. After washing, the colonies were counted. For the anchorage-independent growth ability assay, 500 cells were trypsinized and suspended in 2 ml complete medium plus 0.3% agar (Sigma). The agar-cell mixture was plated on 1% agar complete medium mixture. For ~10 days, viable colonies that were >0.1 mm in diameter were counted. The experiment was carried out in triplicate for each cell line.

Wound healing and Transwell migration and invasion assays

In the wound healing assay, cells (2×106/well) were seeded in 6-well plates. When the cells were 90% confluent, they were serum-starved for 24 h. A linear wound was created in the confluent monolayer using a 10-µl pipette tip. The wounds were observed and photographed immediately (time 0) and thereafter at 24 and 48 h (magnification, ×200). Each experiment was repeated at least 3 times. For the Transwell migration and invasion assays, 2×104 cells were seeded in 8-µm pore inserts coated with (for invasion) or without (for migration) 50 µl Matrigel in triplicate wells. After 24 h incubation at 37̊C, cells that had passed through the filter into the bottom chamber were fixed with 1% paraformaldehyde, stained with hematoxylin, and counted under a magnification of ×200 (10 random fields/well).

Statistical analysis

All statistical analyses were conducted using the SPSS software package (standard version 16.0; IBM). The Chi-square and Fisher's exact tests were used to evaluate the relationship between GINS2 expression and the clinicopathological features. Spearman's rank correlation coefficients were performed to calculate bivariate correlations between the study variables. Survival curves were estimated using the Kaplan-Meier method and the log-rank test. The independent prognostic indicator in all of the clinical parameters was determined using univariate and multivariate analyses. P<0.05 was considered statistically significant in all cases.

Results

GINS2 is overexpressed in cervical cancer

We used real-time PCR and western blotting to determine the GINS2 expression pattern in cervical carcinoma cell lines and samples. There were higher levels of both GINS2 transcription and translation in the cervical carcinoma cell lines in comparison to normal cervical tissue (Fig. 2A). Consistent with the findings in the cervical cancer cell lines, GINS2 mRNA and protein levels were clearly differentially increased in the 8 cervical cancer tissue samples than these levels in the matched adjacent non-cancerous tissues (Fig. 2B). Furthermore, IHC confirmed GINS2 overexpression in the cervical cancer clinical samples (Fig. 2C).
Figure 2.

Western blotting, qPCR, and IHC determination of GINS2 mRNA and protein expression. (A) Western blotting and qPCR of GINS2 expression in normal cervical tissues and cervical cancer cell lines. (B) Western blotting of GINS2 expression in 8 pairs of matched cervical cancer (T) and adjacent non-cancerous cervical tissues (ANT) and average T/ANT ratios of GINS2 mRNA expression quantified by qPCR in 8 pairs of matched cervical cancer tissues. Expression levels were normalized to α-tubulin expression. Error bars represent standard deviation (SD) calculated from 3 parallel experiments. *P<0.05. (C) IHC assay of GINS2 protein expression in 8 pairs of matched cervical cancer tissues.

GINS2 expression correlates with clinical characteristics in early-stage cervical cancer

To investigate the clinical relevance of GINS2 expression and cervical cancer progression, IHC was performed on 155 paraffin-embedded, archived clinical cervical cancer samples, which included 18, 83 and 54 cases of stage Ia2, Ib and IIa disease, respectively. We detected strong positive expression of GINS2 in 48 (31%) cervical cancer specimens, whereas there was no or marginally detectable staining in the remaining 107 (69%; Table I) clinical tumor samples. GINS2 primarily localized in the tumor cell nuclei and was absent from the adjacent normal cervical tissues (Fig. 3).
Figure 3.

IHC assay of GINS2 expression in cervical cancer tissues. Original magnification ×200 or ×400. Positive GINS2 staining was observed mainly in cervical cancer cell nuclei. (A and B) GINS2 was not detected in normal cervical cancer tissues. (C and D) Representative images of weak GINS2 staining in cervical cancer tissues. (E and F) Representative images of moderate GINS2 staining in cervical cancer tissues. (G and H) Representative images of strong GINS2 staining in cervical cancer tissues.

Notably, GINS2 expression correlated with several clinical features of cervical cancer, including SCC-Ag (P<0.001), pelvic LNM (PLNM; P<0.001), deep stromal invasion (P=0.021), vital status (P<0.001) and recurrence (P<0.001). In contrast, GINS2 and other clinical characteristics, including FIGO stage, surgical margin, lymphovascular invasion, parauterine organ infiltration and age, were not obviously related (Table II). Spearman correlation analysis (Table III) further confirmed the strong association of GINS2 expression and significant prognostic risk factors, including SCC-Ag (R=0.430; P<0.001), deep stromal invasion (R=0.185; P=0.021), vital status (R=0.287; P<0.001), recurrence (R=0.323; P<0.001), and in particular, PLNM (R=0.455; P<0.001).
Table II.

Correlation of clinicopathological characteristics and GINS2 expression in the early-stage cervical cancer patients.

GINS2

CharacteristicsTotal (n=155)Low expressionHigh expressionChi-square test P-valueFishers exact test P-value
Age (years)0.6880.730
  ≤477855 (35.5)23 (14.8)
  >477752 (33.5)25 (16.2)
FIGO stage0.571
  Ia1814 (9.0)4 (2.6)
  Ib8358 (37.4)25 (16.1)
  IIa5435 (22.6)19 (12.3)
Pelvic lymph node metastasis (PLNM)<0.001<0.001
  No9984 (54.2)15 (9.7)
  Yes5623 (14.8)33 (21.3)
Histological types0.4400.667
  Squamous cell carcinoma149102 (65.8)47 (30.3)
  Adenocarcinoma65 (3.2)1 (0.7)
SCC-Ag (ng/ml)<0.001<0.001
  ≤1.59178 (50.3)13 (8.4)
  >1.56429 (18.7)35 (22.6)
Tumor size (cm)0.0580.085
  ≤413295 (61.3)37 (23.9)
  >42312 (7.7)11 (7.1)
Positive surgical margin0.3040.374
  No149104 (67.1)45 (29.0)
  Yes63 (1.9)3 (1.9)
Deep stromal invasion0.0210.025
  No4940 (25.8)9 (5.8)
  Yes10667 (43.2)39 (25.2)
Positive parametrium0.8981.000
  No149103 (66.5)46 (29.7)
  Yes64 (2.6)2 (1.3)
Lymphovascular space involvement0.8741.000
  No146101 (65.2)45 (29.0)
  Yes96 (3.9)3 (1.9)
Vital status (at follow-up)<0.0010.001
  Alive12695 (61.3)31 (20.0)
  Dead2912 (7.7)17 (11.0)
Recurrence<0.001<0.001
  No137102 (65.8)35 (22.6)
  Yes185 (3.2)13 (8.4)

GINS2, complex subunit 2; SCC-Ag, squamous cell carcinoma antigen; FIGO, International Federation of Obstetrics and Gynecology.

Table III.

Spearman analysis of the correlation of GINS2 expression and clinicopathological features.

GINS2 expression level

VariablesSpearman correlationP-value
PLNM0.455<0.001
SCC-Ag (ng/ml)0.430<0.001
Vital status (at follow-up)0.287<0.001
Deep stromal invasion0.1850.021
Recurrence0.323<0.001

GINS complex subunit 2; PLNM, pelvic lymph node metastasis; SCC-Ag, squamous cell carcinoma antigen.

GINS2 expression is associated with poor survival outcomes in early-stage cervical cancer

We used Kaplan-Meier survival curves and the log-rank test to evaluate the impact of GINS2 on predicting the prognosis of patients with early-stage cervical cancer. Fig. 4A shows that patients with higher levels of GINS2 had shorter OS (P<0.001), whereas those with lower GINS2 expression survived longer. For the patients with low GINS2 expression, the cumulative OS rates were 89.36% [95% confidence interval (CI), 85.68–93.05%], but were drastically decreased to 65.19% (95% CI, 53.89–76.49%) in the high GINS2 group. In addition, we calculated the prognostic value of GINS2 expression in specific patient subgroups, which were stratified based on age, FIGO stage, PLNM, SCC-Ag, tumor size, differentiation grade, deep stromal invasion, properties of the surgical margin, parauterine organ infiltration and lymphovascular space involvement. Fig. 4B-D shows that there was a markedly negative association between GINS2 expression and OS in the patients without LNM (log-rank test; P<0.001), with SCC-Ag >1.5 ng/ml (log-rank test; P=0.0019), and with deep stromal invasion (log-rank test; P<0.001). The Cox regression model indicated that GINS2 expression and recurrence were independent prognostic risk factors of cervical cancer (Table IV). Taken together, our results indicate that GINS2 plays an important role in cervical cancer progression and may serve as a valuable prognostic predictor for patients with early-stage cervical cancer.
Figure 4.

Kaplan-Meier curves of univariate analysis data (log-rank test). (A) OS curves of patients with high vs. low GINS2 expression. (B) OS curves of patients without LNM with high vs. low GINS2 expression. (C) OS curves of patients with deep stromal invasion with high vs. low GINS2 expression. (D) OS curves of patients with SCC-Ag >1.5 ng/ml with high vs. low GINS2 expression.

Table IV.

Univariate and multivariate analysis of the prognostic parameters in early-stage cervical cancer using Cox-regression model.

Univariate analysisMultivariate analysis


P-valueHazard ratio (95% CI)P-valueHazard ratio (95% CI)
GINS2 expression<0.0015.1600.0113.643
  Low(2.438–10.925)(1.347–9.850)
  High
Pelvic lymph node metastasis (PLNM)0.0082.7160.1271.827
  No(1.299–5.680)(0.843–3.962)
  Yes
SCC-Ag (ng/ml0.0991.8540.8620.922
  ≤1.5(0.891–3.855)(0.369–2.303)
  >1.5
Recurrence<0.00110.201<0.0018.523
  No(4.883–21.352)(3.944–18.416)
  Yes
Deep stromal invasion0.5431.3040.6690.823
  No(0.555–3.063)(0.337–2.008)
  Yes
Positive parametrium0.8401.2280.5102.076
  No(0.166–9.092)(0.236–18.222)
  Yes
Lymphovascular space involvement0.7351.2820.9711.032
  No(0.304–5.400)(0.190–5.623)
  Yes
Tumor size (cm)0.5231.3710.4810.675
  ≤4(0.521–3.609)(0.227–2.013)
  >4

CI, confidential interval; GINS2, complex subunit 2; SCC-Ag, squamous cell carcinoma antigen.

GINS2 downregulation inhibits cervical cancer cell proliferation and tumorigenic ability

Given the involvement of GINS2 in cervical cancer progression and its potential as a biomarker for identifying patients with a more aggressive cervical cancer phenotype, we explored the effects of GINS2 on the proliferation and tumorigenicity of cervical cancer cell lines. Two shRNAs against GINS2 were transduced into the SiHa and HeLa cervical cancer cell lines to stably suppress endogenous GINS2 expression. The downregulation efficiency was verified using western blotting (Fig. 5A). As expected, the colony formation assay revealed that GINS2 depletion induced the formation of much smaller and fewer colonies as compared to the vector control cells (Fig. 5B). Furthermore, silencing of GINS2 markedly decreased the anchorage-independent growth ability of the two cell lines in soft agar (Fig. 5C). These results suggest that GINS2 promotes proliferation and tumorigenesis of cervical cancer cells.
Figure 5.

GINS2 promotes cervical cancer cell proliferation and tumorigenicity. (A) Western blot analysis of GINS2 expression in GINS2-silenced SiHa and HeLa cells. GAPDH was used as the loading control. (B) Colony formation assay showing that silencing of endogenous GINS2 inhibited proliferation. (C) Anchorage-independent growth ability assay showing that GINS2 knockdown suppressed cervical cancer cell tumorigenicity. The number of colonies >0.1 mm in diameter was quantified after 10 days of culture. Original magnification, ×200. Bars represent the mean ± SD of 3 independent experiments; *P<0.05.

GINS2 inhibition reduces cervical cancer cell migration and invasion

After demonstrating that GINS2 is closely connected with PLNM, we then investigated whether GINS2 regulates cervical cancer cell motility and invasiveness. Fig. 6A shows that in the wound healing assay, GINS2 ablation slowed the speed with which the SiHa and HeLa cells filled the gap in comparison to the control in an obvious manner. The Transwell migration and matrix invasion assays yielded similar results (Fig. 6B and C), as indicated by the smaller number of migrated and invaded cells that passed through the filter in the GINS2 downregulation group as compared to the negative control group. Collectively, our findings confirmed that GINS2 enhances the migratory and invasive properties of cervical cancer cells.
Figure 6.

GINS2 is essential for cervical cancer cell migration and invasion. (A) Cell mobility was measured by examining the rate of wound closure at 0, 24 and 48 h. Original magnification, ×200. (B) Transwell migration assay investigation of the mobility properties induced by fetal bovine serum. Original magnification, ×200; *P<0.05. (C) Transwell invasion assay of the invasive properties induced by fetal bovine serum. Original magnification, ×200; *P<0.05. Bars represent the mean ± SD of 3 independent experiments

Discussion

In the present study, we demonstrated for the first time that GINS2 upregulation correlated with poor prognosis and reduced survival in early-stage cervical cancer. In addition, GINS2 downregulation hampered the cellular capabilities of proliferation, tumorigenesis, migration and invasion in an obvious manner. These findings are convincing evidence that GINS2 plays a significant role in the progression of cervical cancer and has the potential to be a neoteric prognostic biomarker of early-stage cervical cancer. Clinical evidence has confirmed the role of GINS2 as an oncogene in various malignancies. GINS2 is elevated in intrahepatic cholangiocarcinoma, lung adenocarcinoma and breast cancer, and induces intrahepatic cholangiocarcinoma cell proliferation (7,8,10). Moreover, GINS2 overexpression contributes to maintenance of the cancer stem cell population and has been correlated with progression and poor prognosis in breast cancer (8). The above mentioned studies indicated that GINS2 plays a critical role in carcinogenesis and cancer progression. Herein, we investigated its role in cervical cancer. Consistent with the above studies, GINS2 mRNA and protein expression was higher in the 8 cervical cancer cell lines and clinical samples. IHC analysis indicated that GINS2 expression was associated with well-known prognostic parameters: SCC-Ag (P<0.001), deep stromal invasion (P=0.021), vital status (P<0.001) and recurrence (P<0.001), particularly PLNM (P<0.001), providing strong evidence that GINS2 plays an oncogenic role in cervical cancer development and that it may act as a biomarker for assessing patients with a more aggressive form of the disease. More importantly, the present study demonstrated that GINS2 overexpression correlates with poor clinical outcome and is potentially an independent prognostic factor of poor OS in cervical cancer. Taken together, our results implicate GINS2 as a crucial contributing factor in tumor progression. Clearly, the fundamental characteristic of tumor cells is their malignant uncontrolled growth, the key process of which is DNA replication (11,12). Correct DNA replication requires the proper combination of replication-associated proteins and prereplication complexes. Defects in the proper function of these proteins are responsible for chromosome instability and the subsequent generation of neoplasms (13–16). Indeed, aberrant expression of several DNA replication-related proteins has been demonstrated in certain cancers. Gan et al proposed MCM genes, which represent primary helicase for unwinding DNA during replication, as diagnostic or prognostic markers in cervical carcinoma (17). Tane et al showed that elevated levels of PSF3, a GINS family member, predicted poor prognosis of non-small cell lung cancer (18). In addition, silencing of PSF3 inhibited cell proliferation by inducing G1-S arrest, suggesting that PSF3 may be required for the development of lung cancer. In accordance with these previous studies, we established the clinical significance of GINS2 in cervical cancer and demonstrated that GINS2 knockdown markedly impaired the proliferative and tumorigenic properties of cervical cancer cells. GINS2 was previouly found to alter the percentages of the apoptosis-relevant genes BAX and BCL2, and the levels of the cell cycle regulators ataxia-telangiectasia mutated (ATM), checkpoint kinase 2 (CHK2), and P53 to stimulate G2/M transition (9). Accordingly, we similarly hypothesized that GINS2 accelerated G2/M transitional entry by circumventing cell cycle checkpoints, consequently exerting its oncogenic potential in cervical cancer. However, further investigations are needed to verify the hypothesis and to clarify the carcinogenesis mechanisms in greater detail. Currently, radical hysterectomy plus pelvic lymph node dissection or chemoradiation is the criterion standard of treatment for patients with early-stage cervical cancer (19,20). Lymph node status is critical for determining the appropriate treatment strategies. Patients with LNM require chemoradiation, which may render the initial surgical intervention unnecessary in retrospect (19,21). Meanwhile, unnecessary lymphadenectomy in patients with negative LNM can cause unfavorable complications such as infection, lymphocysts, and lymphedema (22). However, imaging methods and sentinel lymph node biopsy both fail to accurately detect LNM (21,23,24). Worse, there is no existing preoperative marker for sensitive and efficient LNM diagnosis. Surprisingly, our data showed that GINS2 was closely associated with LNM; moreover, inhibition of GINS2 significantly suppressed the aggressive cervical cancer cell phenotype. Therefore, we speculated that GINS2 is a valuable marker for predicting PLNM. However, a larger cohort of patients with LNM should be enrolled in future studies, and the definite regulatory mechanisms involved warrant further investigation. SCC-Ag is currently most widely applied in clinical diagnosis, evaluation of therapeutic effects, and for predicting the clinical outcomes of patients with cervical cancer (25,26). SCC-Ag levels are associated with the extent of cervical carcinoma (27–33). Sustained high or continuous elevation of SCC-Ag represents persistent disease or recurrence (34,35). However, the clinical practical value of serum SCC-Ag is still controversial. The numerical changes of SCC-Ag do not specifically reflect cervical cancer; increased SCC-Ag levels have also been observed in patients with lung cancer, esophageal SCC and other benign diseases (36–38). More unfortunately, the autofit cut-off level of SCC-Ag is still a matter of debate partially due to the different disease stages of patient groups (39). Therefore, it appears that SCC-Ag is not an ideal indicator for predicting outcomes in cervical cancer. Notably, we reported that GINS2 plays an important role in the development of cervical cancer and may serve as a valuable prognostic marker for assessing survival in cervical cancer. Therefore, determining the expression of GINS2 in cervical tissues via biopsy can provide significant guidance for deciding preferred treatment modality for patients with early-stage cervical cancer. To date, persistent human papillomavirus (HPV) infection is recognized as the main cause of cervical cancer, and HPV 16 and HPV 18 are considered the most carcinogenic HPVs. The HPV oncoproteins E6 and E7 target the tumor-suppressor gene P53 and retinoblastoma protein (Rb), respectively, simultaneously with the activation of certain oncogenes and pathways, thereby coordinately contributing to the initiation and progression of cervical cancer (40–42). Clinical evidence has demonstrated that GINS2 targets P53, and silencing of GINS2 upregulated P53 expression (9). We hypothesized that GINS2 cooperates with the HPV oncoprotein E6 jointly to promote tumor transformation and development. However, we did not investigate their interaction in the present study, and it warrants further investigation. While the prognostic value of GINS2 in early-stage cervical cancer was validated in our research. However, there still existed limitations, one of which was the small sample size. Furthermore, as all the patients involved were all in the early-stage of cervical cancer, their prognosis was relatively favorable and few developed pathological risk features including LNM, positive parametrium, positive surgical margin, large tumor size and recurrence. Thus, to validate our results, it is urgent to incorporate a larger cohort of patients with aggressive clinical factors in our subsequent study. In summary, the present study, confirms the aberrant expression and clinical significance of GINS2 in early-stage cervical cancer. Additionally, we found that GINS2 knockdown suppressed cervical cancer cell proliferation, tumorigenicity, migration and invasion. GINS2 may represent a novel indicator for identifying patients at high-risk, and potentially serve as a clinically relevant biomarker for predicting the patient outcome of early-stage cervical cancer, which could aid gynecologists in determining more appropriate therapeutic strategies.
  42 in total

1.  Cdc18 enforces long-term maintenance of the S phase checkpoint by anchoring the Rad3-Rad26 complex to chromatin.

Authors:  Damien Hermand; Paul Nurse
Journal:  Mol Cell       Date:  2007-05-25       Impact factor: 17.970

2.  GINS maintains association of Cdc45 with MCM in replisome progression complexes at eukaryotic DNA replication forks.

Authors:  Agnieszka Gambus; Richard C Jones; Alberto Sanchez-Diaz; Masato Kanemaki; Frederick van Deursen; Ricky D Edmondson; Karim Labib
Journal:  Nat Cell Biol       Date:  2006-03-12       Impact factor: 28.824

Review 3.  Persistent human papillomavirus infection and cervical neoplasia.

Authors:  Alex Ferenczy; Eduardo Franco
Journal:  Lancet Oncol       Date:  2002-01       Impact factor: 41.316

Review 4.  Human papillomavirus oncoproteins: pathways to transformation.

Authors:  Cary A Moody; Laimonis A Laimins
Journal:  Nat Rev Cancer       Date:  2010-07-01       Impact factor: 60.716

5.  Cancer of the uterine cervix: sensitivity and specificity of serum squamous cell carcinoma antigen determinations.

Authors:  J M Duk; H W de Bruijn; K H Groenier; H Hollema; K A ten Hoor; M Krans; J G Aalders
Journal:  Gynecol Oncol       Date:  1990-11       Impact factor: 5.482

6.  Involvement of the TGF-beta and beta-catenin pathways in pelvic lymph node metastasis in early-stage cervical cancer.

Authors:  Maartje G Noordhuis; Rudolf S N Fehrmann; G Bea A Wisman; Esther R Nijhuis; Jelmer J van Zanden; Perry D Moerland; Emiel Ver Loren van Themaat; Haukeline H Volders; Mirjam Kok; Klaske A ten Hoor; Harry Hollema; Elisabeth G E de Vries; Geertruida H de Bock; Ate G J van der Zee; Ed Schuuring
Journal:  Clin Cancer Res       Date:  2011-03-08       Impact factor: 12.531

7.  Cervical cancer.

Authors:  Wui-Jin Koh; Benjamin E Greer; Nadeem R Abu-Rustum; Sachin M Apte; Susana M Campos; John Chan; Kathleen R Cho; David Cohn; Marta Ann Crispens; Nefertiti DuPont; Patricia J Eifel; David K Gaffney; Robert L Giuntoli; Ernest Han; Warner K Huh; John R Lurain; Lainie Martin; Mark A Morgan; David Mutch; Steven W Remmenga; R Kevin Reynolds; William Small; Nelson Teng; Todd Tillmanns; Fidel A Valea; Nicole R McMillian; Miranda Hughes
Journal:  J Natl Compr Canc Netw       Date:  2013-03-01       Impact factor: 11.908

8.  Prognostic significance of pretreatment serum levels of squamous cell carcinoma antigen and CA 125 in cervical carcinoma.

Authors:  E H Avall-Lundqvist; K Sjövall; B R Nilsson; P H Eneroth
Journal:  Eur J Cancer       Date:  1992       Impact factor: 9.162

Review 9.  Diagnostic accuracy of tests for lymph node status in primary cervical cancer: a systematic review and meta-analysis.

Authors:  Tara J Selman; Christopher Mann; Javier Zamora; Tracy-Louise Appleyard; Khalid Khan
Journal:  CMAJ       Date:  2008-03-25       Impact factor: 8.262

10.  Prospective evaluation of squamous cell carcinoma and carcinoembryonic antigen as prognostic factors in patients with cervical cancer.

Authors:  Rafael Molina; Xavier Filella; Jose A Lejarcegui; Jaime Pahisa; Aurelio Torné; Angels Rovirosa; Begoña Mellado; Jaume Ordi; Luis M Puig-Tintore; Julian Alicarte; Alberto Biete; Javier Iglesias
Journal:  Tumour Biol       Date:  2003 May-Jun
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  29 in total

1.  Bioinformatical identification of key genes regulated by IGF2BP2-mediated RNA N6-methyladenosine and prediction of prognosis in hepatocellular carcinoma.

Authors:  Qiang Wei
Journal:  J Gastrointest Oncol       Date:  2021-08

2.  GINS2 Functions as a Key Gene in Lung Adenocarcinoma by WGCNA Co-Expression Network Analysis.

Authors:  Wen Tian; Xianglin Yang; He Yang; Baosen Zhou
Journal:  Onco Targets Ther       Date:  2020-07-08       Impact factor: 4.147

3.  Loss of GINS2 inhibits cell proliferation and tumorigenesis in human gliomas.

Authors:  Yun-Long Shen; He-Zhen Li; Yan-Wei Hu; Lei Zheng; Qian Wang
Journal:  CNS Neurosci Ther       Date:  2018-10-18       Impact factor: 5.243

4.  PBX3 is associated with proliferation and poor prognosis in patients with cervical cancer.

Authors:  Hongfang Li; Gaogao Sun; Chang Liu; Jing Wang; Rong Jing; Jie Wang; Xiaohuan Zhao; Xiaoyan Xu; Yongxiu Yang
Journal:  Onco Targets Ther       Date:  2017-11-27       Impact factor: 4.147

Review 5.  The Human Replicative Helicase, the CMG Complex, as a Target for Anti-cancer Therapy.

Authors:  Yeon-Soo Seo; Young-Hoon Kang
Journal:  Front Mol Biosci       Date:  2018-03-29

6.  Mining the prognostic significance of the GINS2 gene in human breast cancer using bioinformatics analysis.

Authors:  Shibo Yu; Lizhe Zhu; Peiling Xie; Siyuan Jiang; Ke Wang; Yang Liu; Jianjun He; Yu Ren
Journal:  Oncol Lett       Date:  2020-05-20       Impact factor: 2.967

7.  Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.

Authors:  Baojie Wu; Shuyi Xi
Journal:  BMC Cancer       Date:  2021-06-26       Impact factor: 4.430

Review 8.  Biomarkers could facilitate prediction of worse clinical outcome of cancer with special insight to cervical cancer.

Authors:  Bartosz Czerniak; Dorota Olszewska-Słonina
Journal:  Contemp Oncol (Pozn)       Date:  2018-04-03

9.  MINA53 deficiency leads to glioblastoma cell apoptosis via inducing DNA replication stress and diminishing DNA damage response.

Authors:  Fan Xuan; Mengying Huang; Erhu Zhao; Hongjuan Cui
Journal:  Cell Death Dis       Date:  2018-10-17       Impact factor: 8.469

10.  Matrix metalloproteinase-7 may serve as a novel biomarker for cervical cancer.

Authors:  Linyan Zhu; Xiaojiao Zheng; Yongming Du; Yan Xing; Kejun Xu; Lining Cui
Journal:  Onco Targets Ther       Date:  2018-07-20       Impact factor: 4.147

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