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Abstract

Background: Cervical cancer, a malignancy of gynecological origin, typically necessitates a therapeutic approach combining surgery and chemoradiotherapy as the primary intervention. However, the 5-year survival rate remains suboptimal, prompting researchers to explore novel strategies for the early diagnosis and treatment of cervical cancer. This study delves into the investigation of human papillomavirus (HPV)-mediated DNA methylation modifications within the promoter region of the long non-coding RNA MAGI2-AS3 during cervical cancer development. This paper is an experimental study, laboratory based, using cell lines. Methods: A lentivirus overexpression vector encoding HPV16 E6/E7 proteins was established for transfecting cervical epithelial cells. The methylation status of DNA in the MAGI2-AS3 promoter region was assessed using MassARRAY, and the MAGI2-AS3 gene expression was measured through quantitative real time polymerase chain reaction (qRT-PCR). Subsequently, the correlation between methylation levels and gene expression in cervical cancer was analyzed. Results: (1) Relative to the HPV-negative cervical cancer cell line C33A, MAGI2-AS3 expression significantly decreased in the HPV-positive cervical cancer cell line Siha. (2) The methylation rate of 16 CpG sites in the HPV-positive cervical cancer cell line Siha was notably higher compared to the HPV-negative cervical cancer cell line C33A. (3) To further substantiate the regulatory impact on DNA methylation and expression within the MAGI2-AS3 promoter region, we silenced the expression of HPV16 E6 in the HPV-positive cervical cancer cell line Siha using HPV16 E6 siRNA. The ensuing qRT-PCR analysis revealed a significant up-regulation of MAGI2-AS3 expression in the HPV16 E6 siRNA group when contrasted with the negative control group. MassARRAY analysis was employed to gauge the DNA methylation levels in the promoter region of the MAGI2-AS3 gene in HPV-positive cervical cancer cells (Siha) following HPV16 E6 silencing. The results demonstrated a significantly lower methylation rate at the CpG_29 site in the HPV16 E6 siRNA group compared to the HPV16 E6 siRNA group. Conclusions: The study establishes a close association between HPV infection and elevated methylation levels coupled with diminished expression of MAGI2-AS3. The influence of HPV infection on the malignant transformation of cervical epithelial cells is potentially mediated through the regulatory modulation of MAGI2-AS3 expression via DNA methylation.

1. Introduction

Cervical cancer stands as one of the prevailing gynecological malignancies, marked by a heightened mortality rate [1]. Human papillomavirus (HPV) infection emerges as the primary instigator of cervical cancer, with the pivotal role played by the E6 and E7 genes of HPV16 in instigating the malignant transformation of host cells, thereby precipitating cervical epithelial lesions [2]. Recent investigations reveal that HPV E6/E7 mRNA detection, alongside HPV-DNA detection, exhibits commensurate sensitivity, commendable stability, and heightened specificity in screening cervical lesions [3].

DNA methylation, a prominent epigenetic mechanism, has been identified as a major contributor to various diseases, including cancer, through aberrant methylation of host genes. Hyper-methylation of the CpG sites within tumor suppressor genes represents a recurrent anomaly in tumour cells, leading to the silencing of these genes and ensuing tumorigenesis. HPV may precipitate cellular malignant transformation by directly or indirectly modulating gene DNA methylation levels [4].

Long non-coding RNAs (lncRNAs), particularly the recently discovered lncRNA MAGI2-AS3 of WW and PDZ domain 2, have garnered attention in recent years. A mounting body of evidence underscores the pivotal role of lncRNAs in the progression of cervical cancer, as they contribute to enhanced cell proliferation, migration, and invasion, thereby influencing the onset and advancement of cervical cancer [5]. lncRNA MAGI2-AS3, recently identified as a tumour suppressor in various cancer types, is subjected to scrutiny in this study [6]. Accordingly, our investigation delves into elucidating the role of lncRNA MAGI2-AS3 in cervical cancer and unravelling the specific mechanism through which HPV infection modulates the malignant transformation of cervical epithelial cells by regulating MAGI2-AS3 expression levels through DNA methylation. This inquiry not only provides novel molecular targets but also establishes a theoretical foundation for the diagnosis, treatment, and prevention of cervical cancer.

2. Materials and Methods

This paper is an experimental study, laboratory based, using cell lines.

2.1 Instrument

The CO2 cell incubator (Shanghai Likang Instrument Co., Ltd., Shanghai, China), desktop low-speed centrifuge (Shanghai Anting Instrument Factory, Shanghai, China), constant temperature water bath pot (Shanghai Jinghong Instrument Factory, Shanghai, China), manual single-channel pipette (Eppendorf, Hamburg, Germany), fluorescence inversion microscope (Nippon Nikon Co., Ltd., Tokyo, Japan), chemiluminescence imager system (Shanghai Qinxiang Scientific Instrument Co., Ltd., Shanghai, China), and protein transmembrane instrument (Bio-Rad, Hercules, CA, USA) were employed in this study.

2.2 Reagents and Consumables

Fetal bovine serum (Excell Bio, Shanghai, China), Minimum Essential Medium (MEM), and trypsin (GIBCO, Waltham, MA, USA), as well as siRNA negative control, HPV16 E6 siRNA-73, HPV16 E6 siRNA-161, HPV16 E6 siRNA-303, and lipofectamine RNAiMAX (Thermo Fisher, Waltham, MA, USA) were utilised as reagents and consumables.

2.3 Cell Line
2.3.1 SiHa

Human cervical squamous carcinoma cells (SiHa) were procured from Prosai Bio (Wuhan, Hubei, China) and cultivated using MEM medium supplemented with 10% fetal bovine serum (FBS) and 1% Penicillin/Streptomycin. The cells were maintained at 37 ℃, 5% CO2, and saturated humidity.

2.3.2 C33A

Human cervical cancer cells (C33A) were obtained from Prosai Bio and cultured using MEM medium supplemented with 10% FBS and 1% P/S. The cells were maintained under conditions of 37 ℃, 5% CO2, and saturated humidity.

2.3.3 Mycoplasma Contamination Testing

The cell lines employed in this study underwent rigorous testing to confirm the absence of mycoplasma contamination.

2.3.4 Short Tandem Repeat (STR) Verification

The cell line utilised in this study was verified through STR analysis.

2.4 Cell Culture
Cell Passage

The culture medium in the flask was discarded, and 3 mL of aseptic phosphate buffered saline (PBS) buffer was added for repeated washing. After discarding the PBS buffer, 1 mL of trypsin was introduced to the flask, and the trypsin solution was evenly spread over the cell layer. Following a gentle shake of the cell culture bottle, digestion occurred in the incubator. After 1 minute, 1 mL of medium containing 10% FBS was added to halt trypsin digestion. The unexfoliated cells were thoroughly rinsed with a suction head. The cell suspension was then transferred to a 15 mL centrifuge tube, centrifuged at 1000 rpm for 5 minutes, the liquid was carefully removed, and the cells were resuscitated with 2 mL of complete culture medium. Cell density was adjusted, and the cells were inoculated into the culture bottle and cultured in the incubator.

2.5 Detection of MAGI2-AS3 Gene Expression by Quantitative Real Time Polymerase Chain Reaction (qRT-PCR)

SiHa and C33A cells were collected, adjusted to a cell density of 1 × 105 cells/mL in a single-cell suspension with complete medium, and 2 mL of the cell suspension was inoculated into 6-well plates for culture. Upon reaching 90% confluence, the medium was discarded, and 1 mL Trizol was added to digest the cells. Total RNA was extracted, and MAGI2-AS3 gene expression was detected using qRT-PCR. Table 1 shows the fluorescence quantitative primer information.

Table 1.Primers for fluorescence quantitative mRNA detection.
Primer name Sequence, (5′ to 3′) Product size
MAGI2-AS3-F TTTCTTCAGCCTCTGTGCGA 107 bp
MAGI2-AS3-R CAGGTCCCGCTATTTCTGCT
hsa GAPDH_F GGAGCGAGATCCCTCCAAAAT 197 bp
hsa GAPDH_R GGCTGTTGTCATACTTCTCATGG
2.6 Exploration of siRNA Transfection Conditions and siRNA Screening
Exploring the Conditions of siRNA Transfection

(1) Cell Plank: SiHa cells, exhibiting a robust growth state with a confluence rate of 90%, were subjected to trypsin digestion. A single-cell suspension was prepared with an antibiotic-free medium at a concentration of 5 × 104 cells/mL. This suspension was then inoculated into a 24-well plate, allocating 500 µL per well, and cultivated in a 37 ℃, saturated humidity, and 5% CO2 cell incubator for 24 hours.

(2) siRNA/Lipofectamine RNAiMAX Complex Configuration: Three 1.5 mL EP tubes were designated as A, B, and C tubes. In A tube, 25 µL of serum-free and antibiotic-free medium, along with 0.25 µL of 20 µM Block-iTAlexa Fluor Red reagent (final concentration 0.01 µM), were added and gently mixed. The B tube received 2.5 µL of 20 µM Block-iTAlexa Fluor Red reagent (final concentration 0.1 µM) and was gently mixed. For the C tube, 50 µL of serum-free and antibiotic-free medium, along with 1.5 µL of Lipofectamine RNAiMAX reagent, were added and gently mixed. Subsequently, 25 µL from the C tube was transferred to both A and B tubes, mixed gently, and left to stand for 10 minutes at room temperature.

(3) Transfection: The combined siRNA/Lipofectamine RNAiMAX complex was added to the wells of the 24-well culture plate containing cells at a rate of 50 µL per well. The cell culture plate was gently shaken, and the cells were incubated in a 37 ℃, saturated humidity, and 5% CO2 incubator for 24 and 48 hours. Fluorescence photos post-transfection were captured to ascertain the optimal transfection conditions.

(4) Determination of Optimal Transfection Conditions: To establish the optimum transfection conditions for siRNA, control siRNA, labelled with varying concentrations of red fluorescence, was used to transfect HPV-positive cervical cancer cells (SiHa). After 48 hours, the red fluorescence within the cells was observed using a fluorescence microscope. Experimental outcomes revealed that siRNA achieved the best transfection efficiency at a concentration of 0.1 µM and a transfection time of 48 hours (refer to Fig. 1). Consequently, the transfection concentration of 0.1 µM siRNA and a transfection time of 48 hours were chosen as the optimal conditions for subsequent experiments.

Fig. 1.

Transfection fluorescence picture (100×).

(5) Determination of Transfection Conditions: The optimal transfection parameters were established, with a siRNA concentration of 0.1 µM and a transfection duration of 48 hours selected as the most efficacious conditions for subsequent experiments.

2.7 Detection of qRT-PCR and Methylation Level
2.7.1 Experimental Grouping

(1) Blank Group: SiHa cells were collected after standard culture for 48 hours.

(2) SiRNA-NC Group: Cells were collected 48 hours after SiHa transfection with 0.1 µM siRNA negative control.

(3) RPS27-siRNA Group: Cells were collected 48 hours after SiHa transfection with 0.1 µM HPV16 E6 siRNA-73.

2.7.2 Detection of MAGI2-AS3 Gene Expression by qRT-PCR

SiHa cells were collected, and the cell density was adjusted to 1 × 105 cells/mL as a single-cell suspension in complete medium. A 2 mL cell suspension was inoculated into a 6-well plate for culture. After overnight growth, cells were divided into two groups as per the 3.5.1 experiment, with three replicates in each group. Post-intervention, the culture medium was discarded, and 1 mL of Trizol was added to digest the cells. Trizol was evenly spread on the cell layer by shaking the cell culture flask until cells were completely digested. The contents were loaded into 1.5 mL EP tubes, and total RNA extraction and qRT-PCR were performed to detect the expression of MAGI2-AS3 gene.

2.7.3 Methylation Detection of MAGI2-AS3

SiHa cells were collected, and the cell density was adjusted to 1 × 105 cells/mL as a single-cell suspension in complete medium. A 5 mL cell suspension was inoculated into a culture flask. After overnight growth and adherence to the wall, cells were divided into two groups as per the 3.5.1 experiment, with five replicates in each group. Each group’s 1 × 106 cells were collected by centrifugation at 12000 rpm for 1 minute, removing the supernatant as much as possible. DNA was extracted from the cell precipitation, and the methylation sequence was verified using MassARRAY.

2.8 Statistical Analysis

All data were presented as mean ± standard deviation (x¯ ± s). SPSS 19.0 software (IBM Corp., Armonk, NY, USA) was utilised for statistical analysis, employing one-way analysis of variance for intergroup comparisons. A significance level of p < 0.05 was considered statistically significant.

3. Results
3.1 Detection of MAGI2-AS3 Gene Expression in C33A and SiHa Cells by qRT-PCR

The experimental findings revealed that the expression level of MAGI2-AS3 in SiHa cells was (0.187 ± 0.254), a figure notably lower than the expression level observed in C33A cells, which recorded (1.030 ± 0.314). In comparison with HPV-negative cervical cancer cells (C33A), the expression level of MAGI2-AS3 in HPV-positive cervical cancer cells (SiHa) registered at (0.187 ± 0.254). This demonstrated a substantial decrease in the expression of MAGI2-AS3, and the observed difference was statistically significant (p < 0.05) (Refer to Table 2 and Fig. 2).

Table 2.Analysis table of MAGI2-AS3 expression level in each group of cells (x¯ ± s, n = 3).
Experimental grouping MAGI2-AS3
C33A cells 1.030 ± 0.314
Siha cells 0.187 ± 0.254
T value 3.613
p value 0.022

Note: The t-value denotes the T-value of the T-test statistic, while the p-value signifies the level of significance. A significant p-value indicates a substantial difference between the two groups.

Fig. 2.

Histogram Analysis of MAGI2-AS3 Expression Level in Each Cell Group.

3.2 MassARRAY Methylation Sequencing

Experimental findings unveiled the detection of a total of 16 CpG loci within the selected region. The methylation rate at these sites in HPV-positive cervical cancer cells (SiHa) exhibited a significant increase compared to that in HPV-negative cervical cancer cells (C33A) (refer to Table 3).

Table 3.Analysis of methylation rate of each CpG island of MAGI2-AS3 gene in different groups (x¯ ± s, n = 5).
CpG Island Group CpG island methylation rate (%) T value p value
CpG_2 Siha 65.2 ± 7.085 12.473 0.000
C33A 13.2 ± 6.058
CpG_4 Siha 57 ± 25.03 2.873 0.021
C33A 24.4 ± 4.159
CpG_7 Siha 43.25 ± 7.411 7.493 0.000
C33A 3.75 ± 7.5
CpG_8.9 Siha 78.25 ± 23.472 6.281 0.007
C33A 4 ± 3.162
CpG_10 Siha 82.6 ± 7.668 20.906 0.000
C33A 4.6 ± 3.286
CpG_11 Siha 56.8 ± 23.467 5.154 0.001
C33A 2.4 ± 2.51
CpG_14.15 Siha 34.6 ± 4.336 14.174 0.000
C33A 4.2 ± 2.049
CpG_16.17.18 Siha 32.6 ± 16.667 3.055 0.016
C33A 6.8 ± 8.871
CpG_19.20 Siha 18.6 ± 3.912 6.490 0.000
C33A 3.8 ± 3.271
CpG_21 Siha 37.8 ± 6.979 9.656 0.000
C33A 4.8 ± 3.114
CpG_22 Siha 24.8 ± 14.412 2.718 0.026
C33A 6 ± 5.612
CpG_23 Siha 54.2 ± 8.643 5.557 0.001
C33A 24 ± 8.544
CpG_24.25 Siha 49.4 ± 10.383 3.095 0.015
C33A 34 ± 4
CpG_27.28 Siha 39.8 ± 4.147 11.041 0.000
C33A 12 ± 3.808
CpG_29 Siha 62.2 ± 8.556 4.996 0.001
C33A 37 ± 7.348
CpG_30 Siha 79.8 ± 8.643 8.628 0.000
C33A 38.6 ± 6.269

Note: The t-value serves as a statistical measure, while the p-value indicates significance. The significance level was set at 0.05.

Best siRNA Screening

The outcomes revealed that the silencing effect of HPV16 E6 siRNA-73 surpassed the other two siRNAs, and this difference was statistically significant (p < 0.05) (Refer to Table 4 and Fig. 3). Consequently, in subsequent experiments, we employed HPV16 E6 siRNA-73 to intervene in the expression of the target gene MAGI2-AS3 and the level of DNA methylation in the promoter region.

Fig. 3.

Histogram analysis of HPV16 E6 expression level in each group of cells. HPV, human papillomavirus; NC, negative control.

Table 4.Analysis of HPV16 E6 Expression Level in All Cell Groups (x¯ ± s, n = 3).
Experimental group HPV16 E6
Blank group 1.009 ± 0.161
Negative control siRNA 1.018 ± 0.056
HPV16 E6 siRNA-73 0.465 ± 0.082
HPV16 E6 siRNA-161 0.721 ± 0.146
HPV16 E6 siRNA-303 0.925 ± 0.259

Note: compared with the blank group, the pantaltic group was 0.05; ▲ compared with the negative control group siRNA, it was 0.05; compared with the negative control group HPV 16E6 siRNA-73; and compared with the control group, it was 0.05. HPV, human papillomavirus.

According to the experimental results, the target HPV16 E6 siRNA-73 was selected for follow-up experiments.

3.3 Fluorescence Quantitative Statistical Analysis

Table 5 shows the fluorescence quantitative primer information. The findings indicated that the expression level of MAGI2-AS3 in the blank group was (1.002 ± 0.076), while in the negative control siRNA cells, it was (1.051 ± 0.055). Notably, the expression level of MAGI2-AS3 in HPV16 E6 siRNA cells was substantially elevated at (1.650 ± 0.101). In comparison with the negative control siRNA group, the HPV16 E6 siRNA group exhibited a statistically significant up-regulation in the expression level of MAGI2-AS3 (p < 0.05) (Refer to Table 6 and Fig. 4).

Fig. 4.

Histogram analysis of MAGI2-AS3 expression level in each cell group.

Table 5.Primers for fluorescence quantitative mRNA detection.
Primer name Sequence (5′ to 3′) Product size
MAGI2-AS3-F2 TTTCTTCAGCCTCTGTGCGA 107 bp
MAGI2-AS3-R2 CAGGTCCCGCTATTTCTGCT
hsa GAPDH_F2 GGAGCGAGATCCCTCCAAAAT 197 bp
hsa GAPDH_R2 GGCTGTTGTCATACTTCTCATGG
Table 6.Analysis of MAGI2-AS3 expression level in each group of cells (x¯ ± s, n = 3).
Experimental group MAGI2-AS3
Blank group 1.002 ± 0.076
Negative control siRNA 1.051 ± 0.055
HPV16 E6 siRNA 1.650 ± 0.101

Note: compared with the blank group, the pantaltic group was 0.05; ▲compared with the negative control group, siRNA, the placebo group was 0.05.

3.4 Results of Methylation Rate Data Analysis

In comparison with the negative control siRNA group, a marked reduction in the methylation rate of CpG 29 site was observed in the HPV16 E6 siRNA group (p < 0.05) (Refer to Table 7 and Fig. 5).

Fig. 5.

The CpG site is the location of the MAGI2-AS3 promoter region.

Table 7.Analysis of methylation rate of each CpG island of MAGI2-AS3 gene in different groups (x¯ ± s, n = 5).
CpG Island Group CpG island methylation rate (%) F value p value
CpG_2 Blank group 64 ± 7.141 0.076 0.927
siRNA-NC group 61.4 ± 11.866
siRNA-HPV16 E6 group 63.2 ± 12.518
CpG_4 Blank group 69.6 ± 6.986 1.497 0.263
siRNA-NC group 57 ± 14.23
siRNA-HPV16 E6 group 52.6 ± 22.996
CpG_7 Blank group 62.8 ± 17.824 0.652 0.547
siRNA-NC group 43.333 ± 37.528
siRNA-HPV16 E6 group 62.667 ± 21.939
CpG_8.9 Blank group 91.6 ± 6.189 1.994 0.179
siRNA-NC group 80 ± 14.748
siRNA-HPV16 E6 group 91 ± 8.062
CpG_10 Blank group 89.2 ± 4.266 1.763 0.213
siRNA-NC group 81.6 ± 11.415
siRNA-HPV16 E6 group 90.2 ± 6.301
CpG_11 Blank group 68.4 ± 6.465 10.634 0.002
siRNA-NC group 48.6 ± 2.702
siRNA-HPV16 E6 group 62.4 ± 9.813
CpG_14.15 Blank group 37.8 ± 6.261 0.489 0.625
siRNA-NC group 35 ± 7.583
siRNA-HPV16 E6 group 38.4 ± 2.074
CpG_16.17.18 Blank group 42.8 ± 4.087 1.151 0.349
siRNA-NC group 35 ± 13.73
siRNA-HPV16 E6 group 34.6 ± 8.562
CpG_19.20 Blank group 40.6 ± 10.431 2.549 0.127
siRNA-NC group 26.333 ± 20.551
siRNA-HPV16 E6 group 24.6 ± 6.189
CpG_21 Blank group 44.8 ± 6.14 1.587 0.245
SiRNA-NC group 38.2 ± 7.19
siRNA-HPV16 E6 group 45.2 ± 7.53
CpG_22 Blank group 39.6 ± 6.656 0.079 0.925
siRNA -NC group 40.4 ± 12.178
siRNA-HPV16 E6 group 38.2 ± 6.648
CpG_23 Blank group 61.6 ± 8.414 1.935 0.187
siRNA-NC group 52 ± 12.309
siRNA-HPV16 E6 group 62.4 ± 6.107
CpG_24.25 Blank group 52 ± 4.243 1.799 0.207
siRNA-NC group 51.8 ± 13.008
siRNA-HPV16 E6 group 60.6 ± 4.827
CpG_27.28 Blank group 48.2 ± 5.541 0.308 0.740
siRNA-NC group 46 ± 8.515
siRNA-HPV16 E6 group 45.2 ± 3.768
CpG_29 Blank group 61 ± 4.062 4.953 0.027
siRNA-NC group 69 ± 7.071
siRNA-HPV16 E6 group 54.2 ± 9.985
CpG_30 Blank group 82.2 ± 3.899 1.500 0.262
siRNA-NC group 79.4 ± 6.107
siRNA-HPV16 E6 group 84.4 ± 3.209

Note: F value is a statistic, p value is significant. The significant level was 0.05.

4. Discussion

Cervical cancer stands as one of the prevalent malignant tumours in gynecology, with HPV infection serving as a pivotal risk factor in its onset and progression. In recent years, cytological screening has facilitated the early identification of cervical cancer and precancerous lesions, leading to enhanced treatment outcomes and prognoses. However, gene methylation screening exhibits superior sensitivity and specificity in this context [7]. DNA methylation involves the binding of cytosine to methyl groups within the CpG dinucleotides of the genome, inducing alterations in gene expression levels without modifying the DNA sequence. CpG islands, situated in the human genome, typically remain unmethylated in normal cells. Notably, hypermethylation of the CpG regions within tumour suppressor genes is a prevalent occurrence in tumour cells, resulting in the silencing of these genes and the initiation of tumorigenesis [8]. Recent investigations suggest that HPV DNA methylation, along with host DNA methylation, constitutes a crucial carcinogenic mechanism of HPV [9]. Methylation serves as a dependable marker for diagnosing, monitoring disease progression, and predicting the prognosis of cervical cancer. Furthermore, the modulation of methylation status can inform the development of effective treatment strategies, imparting profound guidance in the treatment of cervical cancer [10]. lncRNA is an RNA molecule exceeding 200 bp in length [11]. A substantial body of evidence indicates that lncRNA is intricately involved in various biological processes, encompassing tumorigenesis, differentiation, and metastasis [12]. Within hepatocellular carcinoma cells, lncRNA-H19 orchestrates the activation of the CDC42/PAK1 pathway by targeted miR-15b modulation, thereby fostering cell proliferation, migration, and invasion [13]. Growing evidence underscores the pivotal role of lncRNA in the progression of cervical cancer [14]. These molecules enhance cell proliferation, migration, and invasion, significantly contributing to the initiation and advancement of cervical cancer [5]. In the context of cervical cancer, lncRNA-CTS promotes epithelial-mesenchymal transition and cancer cell metastasis through the regulation of the miR-505/ZEB2 axis [15]. The lncRNA ZNF667-AS1 pathway mitigates the reduction of miRNA-93-3p-dependent PEG3 in cervical cancer, thereby restraining tumour cell invasion [16]. In recent years, the newly discovered lncRNA MAGI2-AS3 has emerged as closely associated with tumour occurrence and progression, regulating malignant biological behaviours such as tumour proliferation, apoptosis, invasion, and metastasis [17]. MAGI2-AS3, located within the chromosomal region 79452957-79471208 of human genome number 7, has been implicated in various cancers [17].

In murine models, hepatoma cells rely on lncRNA MAGI2-AS3 to inhibit cell viability and metastasis through the miR-374b/SMG1 signalling pathway [6]. In non-small cell lung cancer, lncRNA MAGI2-AS3 inhibits cell proliferation and invasion through the miRNA-23a-3p/PTEN axis [18]. Furthermore, MAGI2-AS3 has been found to promote the progression of gastric and colorectal cancer [19]. A study has identified an association between lncRNA MAGI2-AS3 and poor prognosis in bladder cancer [20]. Interestingly, MAGI2-AS3 exhibits a tumour-inhibitory role in high-grade serous ovarian and breast cancers [21]. However, the functional mechanisms of MAGI2-AS3 in cervical cancer remain unclear. This study employed qRT-PCR to assess the expression levels of the MAGI2-AS3 gene in HPV-negative cervical cancer cells (C33A) and HPV-positive cervical cancer cells (SiHa). The findings revealed a significantly lower expression of MAGI2-AS3 in HPV-positive cervical cancer cells (SiHa) compared to HPV-negative cervical cancer cells (C33A), suggesting a correlation between reduced MAGI2-AS3 expression and the onset and progression of cervical cancer. High methylation level is easy to cause HPV virus infection, which is easy to lead to cervical cancer. Concurrently, MassARRAY was utilised to evaluate the DNA methylation levels in the promoter region of the target gene MAGI2-AS3 in HPV-negative cervical cancer cells (C33A) and HPV-positive cervical cancer cells (SiHa). Results showed a notable increase in the methylation rate of these sites in HPV-positive cervical cancer cells (SiHa) compared to HPV-negative cervical cancer cells (C33A), highlighting a potential link between heightened methylation rates and the development of cervical cancer. The role of MAGI2-AS3 as a tumour suppressor and a biomarker for clinical diagnosis in cervical cancer cells warrants further investigation.

5. Conclusions

In conclusion, our hypothesis posits a close association between HPV infection and elevated methylation levels coupled with diminished expression of MAGI2-AS3. The regulatory influence of HPV infection on MAGI2-AS3 expression levels is postulated to occur through DNA methylation mechanisms, thereby influencing the malignant transformation of cervical epithelial cells.

Availability of Data and Materials

In adherence to the journal’s stipulations, we commit to providing our data to facilitate the reproducibility of this study upon approval from our institution.

Author Contributions

JZ: conceptualization, data curation, formal analysis, investigation, methodology, writing — original draft, writing - review & editing. QX: participate in the completion of writing — original draft, interpretation of data. QZ: conception, funding acquisition, resources. All authors contributed to editorial changes in the manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work. All authors read and approved the final manuscript.

Ethics Approval and Consent to Participate

All subjects gave their informed consent for inclusion before they participated in the study. This study was approved by the Ethics Committee of the Second Affiliated Hospital of Xinjiang Medical University (Ethics Approval Number: 2022H024).

Acknowledgment

Not applicable.

Funding

This study was funded by Natural Science Foundation of Xinjiang Uygur Autonomous Region (2023D01C122) and Department of Gynecology, Second Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia (SKL-HIDCA-2022-GJ4), Open topic of the Key Laboratory of Neurological Diseases in Xinjiang (XJDX1711-2260) and the ”Tianshan Talents” medical and health high-level personnel training plan (TSYC202301B128).

Conflict of Interest

The authors declare no conflict of interest.

References

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