Literature DB >> 33488095

The Value and Clinical Significance of ZNF582 Gene Methylation in the Diagnosis of Cervical Cancer.

Chunhe Zhang1, Shaowei Fu1, Luyue Wang1, Fang Wang1, Dan Wu1, Xiangyi Zhe1, Huizhen Xin1, Hongtao Li1, Dongmei Li1, Fuyuan Jin1, Renfu Shao2, Zemin Pan1.   

Abstract

INTRODUCTION: The aim of this study was to determine whether ZNF582 gene methylation and tissue protein expression can be used as a tool with high sensitivity and specificity for cervical cancer screening. We analyzed the correlation between promoter methylation of ZNF582 gene and cervical cancer and high risk HPV16/18 infection.
METHODS: Tissue samples of normal cervical or chronic cervicitis (n=51), CIN (cervical intraepithelial neoplasia) (n=35), and cervical carcinoma (n=68) were tested for HPV16/18 infection by polymerase chain reaction (PCR). We also detected the methylation status of the ZNF582 gene promoter in the same tissues by methylation-specific PCR (MSP), then analyzed the correlation between ZNF582 promoter methylation and HPV16/18 infection. Immunohistochemistry was used to analyze ZNF582 gene expression in 152 cervical tissues. We detected ZNF582 mRNA expression in cervical tissues (including cancer and non-cancer) by real-time fluorescence quantitative PCR (qPCR).
RESULTS: Among 93 high-grade cervical lesions (CINII and above) and cervical cancer samples, 57 cases were positive for HPV16/18 infection and 36 cases were negative. ZNF582 gene methylation occurred in 9 out of 51 cases in normal cervical tissues (17.6%), 16 of 35 cases in CIN tissues (45.7%), and 50 of 68 cases in cervical cancer (73.5%). The differences in methylation rate of the three groups were statistically significant (P<0.05). The ZNF582 methylation rate in the positive HPV16/18 infection group was 73.7%, while the negative group was 63.9%. Compared with normal tissues, ZNF582 protein was highly expressed in cervical cancer tissues, but mRNA expression was low.
CONCLUSION: While ZNF582 protein is highly expressed in cervical cancer tissues, it was not sufficient for use as a standard for cervical cancer staging. On the other hand, ZNF582 promoter methylation had high specificity and sensitivity in detecting CINII and highly diseased cervical lesions and could be used as a diagnostic marker for cervical cancer of women.
© 2021 Zhang et al.

Entities:  

Keywords:  HPV16/18; ZNF582 gene; cervical cancer; gene expression; promoter methylation

Year:  2021        PMID: 33488095      PMCID: PMC7814240          DOI: 10.2147/OTT.S277445

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


Introduction

Cervical cancer is the second most common cancer and also the one of leading causes of cancer death in women in less developed regions.1,2 Xinjiang, especially in the south, has one of the highest incidences of cervical cancer in China. The prevalence and mortality of cervical cancer are both higher in Uygur women than in other ethnic groups in the same region. Surveys suggested that the highest rate of infection in Xinjiang Uygur women is HPV16/18, followed by HPV52, and HPV53.3,4 Although most women are infected with HPV at some point, research has shown that less than 1% of women will eventually progress to cervical cancer.5 Although the diagnostic techniques and treatment strategies for cervical cancer have improved, cervical cancer mortality remains high, and tumor invasion and metastasis remain important obstacles for cervical cancer treatment.6 Therefore, finding an early diagnosis of cervical cancer is crucial.7 Genetic and epigenetic changes in the host and/or viral genome after the continuous infection of the high-risk type of human papillomavirus (hrHPV) are thought to be associated with the development of invasive cervical cancer.8–10 It is known that cervical cancer is caused by the mutation and deletion of genes, but with in-depth exploration of tumors in recent years, there is increasing evidence that hypermethylation and histone modifications of promoter abnormalities are also necessary for cancer tissue metastasis.11 Thus, HPV is sensitive to cervical cancer, but its specificity is low. A large number of false-positive results can lead to unnecessary medical measures and psychological burden.12 Therefore, we need new and better markers with higher specificity and sensitivity for cervical cancer screening. The progression of HPV-induced precancerous lesions to invasive cancer is due to the accumulation of genetic and epigenetic aberrations affecting host cell genes, leading to activation of oncogenes and/or inactivation of tumor suppressor genes.9 DNA methylation is one of the epigenetic mechanisms that influence gene transcription, chromatin structure, genomic stability, and inactivation of imprinted genes, and X chromosomes.13 When the promoter region of a tumor suppressor gene is highly methylated, this usually results in inactivation of the suppressor gene.14 In some experiments, methylation profiles of human cervical cancer and normal cervix, methylation status in different degrees of cancer tissues and cervical smears, and protein expression were observed, and methylation of the ZNF582 promoter was observed in all cervical cancer samples.15–17 Therefore, we investigated whether gene methylation can be used as a biomarker to examine disease progression and determine whether it can be used as a means of detecting cervical cancer.

Materials and Methods

Patients

We collected 154 cases of fresh cervical tissue specimens from Uygur women obtained by surgical resection or biopsy from May 2010 to May 2018 at the First Affiliated Hospital of Shihezi University, the Third Affiliated Hospital, the Kashgar People’s Hospital and the Xinjiang Autonomous Region Chinese Medicine Hospital (). The patients had an average age of 47 years (range 23–73), with cervical cancer but had not received chemotherapy or radiotherapy. Lesions included 51 normal cervical tissue or chronic cervicitis cases, 35 cases of CIN (including 10 cases of CINI, 12 cases of CINII, 13 cases of CINIII), and 68 cases of cervical cancer. All samples were confirmed by the hospital pathology department and consent of the patient and her family was obtained. At the same time, we collected the name, age, pathological stage, and other major patient data. The specimen collection was approved by the “Ethics Committee of the First Affiliated Hospital of Shihezi University School of Medicine”, and all patients signed the informed consent.

Methods

Extracting Tissue DNA

Genomic DNA was extracted from 30 mg of tissue with the DNAprep kit. Pure paraffin-embedded tissue DNA is produced in Beijing Tiangen Biotech Co., Ltd. The quality of DNA was assessed by 0.7% agarose gel electrophoresis, and stored DNA samples at −20°C.

Sulfite Modification of DNA

About 1 µg of DNA was subjected to bisulphite treatment using the DNA modification kit (CpGenomeTM, S7820 Kit, Chemicon company). Then, bisulfite-converted DNA was used as a template for detection of ZNF582 gene methylation in all samples using the methylation-specific PCR (MSP) method.

High Risk Human Papillomavirus (HPV16, 18) Infection Detection

Primer design: Optimal primers were designed according to the HPV16 and HPV18 gene sequences provided by the GenBank database on the NCBI website (Table 1). Primers were synthesized by Shanghai Sheng Gong Bioengineering Co., Ltd., and the mass spectrometry results were satisfactory.
Table 1

Primer Information

Gene NamePrimer Information (5’-3’)Product Size (bp)Annealing Temperature (°C)
ZNF582 (M)F:5’-GTAATTTAGGGATTCGAATATACGA-3’14251
R:5’-CCGAAAAACATAATCTTTAAACGTA-3’
ZNF582 (U)F:5’-GTAATTTAGGGATTTGAATATATGA-3’14251
R:5’-CCAAAAAACATAATCTTTAAACATA-3’
HPV16F:5’-GACCCAGAAAGTTACCACAG-3’26857
R:5’-CACAACGGTTTGTTGTATTG-3’
HPV18F:5’-TGCCAGAAACCGTTGAATCC-3’26855
R:5’-TCTGAGTCGCTTAATTGCTC-3’
β-actinF:5’-CCCAGCACAATGAAGATCAAGATCAT-3’10156
R:5’-ATCTGCTGGAAGGTGGACAGCG-3’

Abbreviations: M, methylated-specific primers; U, unmethylated-specific primers; F, forward primer; R, reverse primer.

Primer Information Abbreviations: M, methylated-specific primers; U, unmethylated-specific primers; F, forward primer; R, reverse primer. PCR detection of HPV16 and HPV18 viral DNA was performed on all samples. The total sample volume of the PCR reaction system is 25 µL, included 12.5 µL PCR mix, 10.5 µL sterile water, primers and DNA. Cycle parameters included: pre-denaturation at 95°C for 10 min, then 35 cycles 95°C 30 s, 57°C 40 s, 72°C 40 s, and a final extension for 5 min at 72°C. The amplified fragment size was 268 bp, the reaction products were run on a 2% agarose gel by electrophoresis, and identified in the gel imaging system (BIO-RAD Gel DocTM XR+ with Image LabTM Software).

Methylation-Specific PCR

Primer design: The ZNF582 gene sequence was obtained from the UCSC website (), and the methylation-specific PCR primers for ZNF582 were acquired from MethPrimer () Website Design (Table 1).

RNA Extraction and qPCR

The RNA was extracted from tissue by Trizol. All reagents and solutions used in the procedure were RNase-free. The RNA was further extracted by the RNA extraction kit of RNAprep Pure FFPE Kit (Tiangen Biotech (Beijing) Co., Ltd, DP439). RNA was converted to cDNA by reverse transcriptase. Real-time PCR was performed using the SYBR® Green PCR Kit (Qiagen, Germany) and β-actin as an internal reference gene to detect the expression of the ZNF582 gene, and each sample was tested in three replicates.

Immunohistochemistry

Immunohistochemistry (IHC) was carried out in strict accordance with the second antibody kit instructions. The primary antibody was replaced with phosphate-buffered saline (PBS) as a negative control. The primary antibody (ZNF582 antibody, purchased from Sigma-Aldrich (Shanghai) Trading Co., Ltd.) was diluted to 1:200. The second antibody is a rabbit and mouse universal antibody labeled with horseradish peroxidase (Universal kit (mouse/rabbit polymer method detection system), Beijing Zhongshan Jinqiao Biotechnology Co., Ltd.).

Statistical Analysis

The data were analyzed by the statistical package SPSS 17.0. The χ2- test was used to analyze the qualitative data and correlation. The result data of qPCR detection and measurement data were analyzed by using a two-sample t-test. The P-value <0.05 was considered statistically significant.

Results

Infection of HPV 16 and 18 in Cervical Tissues with Different Degrees of Lesion

Statistical analysis was performed on HPV16 and HPV18 infection in cervical tissues of 154 women. The results showed that in normal and chronic cervicitis, CIN, and cervical cancer tissues, the HPV16 infection rates were 19.6%, 34.3%, and 64.7%, respectively, and demonstrated an increasing trend with severity. The infection rates of HPV18 were 2%, 8.6%, and 13.2%, respectively. The multiple comparison of infection rates of HPV16 in the above groups, and the difference were statistically significant (P<0.05), while that of HPV18 was not. HPV16 and HPV18 infection rates were statistically significant in the CIN and cervical cancer groups, and the difference was also significant in the normal and cervical cancer groups (, Table 2).
Table 2

The Infection Status of HPV16/18

GroupsHPV16HPV18HPV16/18
Infection (%)χ2 valueP valueInfection (%)χ2 valueP valueInfection (%)χ2 valueP value
Normal19.6 (10/51)45.750.000*2.0 (1/51)0.8260.36321.6 (11/51)1.7130.191
CIN34.3 (12/35)8.6190.003**8.6 (3/35)0.140.70834.3 (12/35)9.5080.002**
Cancer64.7 (44/68)23.9130.000***13.2 (9/68)3.4590.06366.2 (45/68)23.2770.000***

Notes: *P<0.05, normal group compared with CIN group; **P<0.05, CIN group compared with cancer group; ***P<0.05, normal group compared with cancer group.

The Infection Status of HPV16/18 Notes: *P<0.05, normal group compared with CIN group; **P<0.05, CIN group compared with cancer group; ***P<0.05, normal group compared with cancer group.

The Part of Promoter of ZNF582 Gene is Highly Methylated in Cervical Cancer Tissues

We tested the methylation level of the ZNF582 gene promoter in the collected samples. ZNF582 methylation occurred in 9 of 51 normal cervical tissues (17.6%), 16 of 35 CIN tissues (45.7%), and 50 out of 68 cervical cancer cases (73.5%). The difference in methylation rates of the ZNF582 gene in the three groups was statistically significant (P<0.05). With the development of the disease, the probability of methylation showed an increasing trend (Table 3).
Table 3

The Frequency of the ZNF582 Promoter Methylation

GroupsTotalMethylated (%)Unmethylated (%)χ2 valueP value
Normal5117.6 (9/51)82.4 (42/51)7.9300.005*
CIN3545.7 (16/35)54.3 (19/35)7.7670.005**
Cancer6873.5 (50/68)26.5 (18/68)36.4060.000***

Notes: *Normal group compared with the CIN group; **CIN group compared with the cancer group; ***Normal group compared with the cancer group.

The Frequency of the ZNF582 Promoter Methylation Notes: *Normal group compared with the CIN group; **CIN group compared with the cancer group; ***Normal group compared with the cancer group. DNA methylation was modified in the ZNF582 genomic promoter region and we designed methylation and non-methylation specific primers. The non-methylated PCR product was 142 bp. A band corresponding to the methylated promoter was present in the sample with methylation, and absent in the unmethylated sample (Figure 1).
Figure 1

(A) The MSP results of the promoter of ZNF582. M: marker (100–700 bp); m: Methylation-specific PCR products; u: Unmethylated-specific PCR products; 1,2: cervical cancer tissues; 3,4: cervical intraepithelial neoplasia tissues; 5,6: Normal cervical tissues. (B and C) show the sequencing results of the MSP products of the ZNF582 promoter. (B) is the unmethylated-specific PCR products and (C) is the methylated-specific PCR products (the reverse sequencing results); Arrows indicate the CpG loci. After sequencing, it was found that the C of the CpG site of the methylated product was unchanged, and the remaining C became T; all C in the sequence of the unmethylated product became T, including the CpG site (Incompletely modified bases will not change to T).

(A) The MSP results of the promoter of ZNF582. M: marker (100–700 bp); m: Methylation-specific PCR products; u: Unmethylated-specific PCR products; 1,2: cervical cancer tissues; 3,4: cervical intraepithelial neoplasia tissues; 5,6: Normal cervical tissues. (B and C) show the sequencing results of the MSP products of the ZNF582 promoter. (B) is the unmethylated-specific PCR products and (C) is the methylated-specific PCR products (the reverse sequencing results); Arrows indicate the CpG loci. After sequencing, it was found that the C of the CpG site of the methylated product was unchanged, and the remaining C became T; all C in the sequence of the unmethylated product became T, including the CpG site (Incompletely modified bases will not change to T).

Relationship Between Methylation of ZNF582 Gene and HPV Infection in Cervical Cancer Tissues

Among 93 high-grade cervical lesions and cervical cancer tissue samples, 57 HPV16/18 positive and 36 negative samples were included. In the positive group, 42 cases (73.7%) were methylated at the ZNF582 promoter. The negative group had 23 cases (63.9%) of methylation. There was no statistically significant difference between the two groups (χ =1.006, P>0.05) (Table 4).
Table 4

The Distribution of ZNF582 Promoter Methylation and HPV16/18 Infection of in CINII, III and Cervical Cancer Tissues

GroupTotalMethylatedUnmethylatedMethylation Rate (%)
HPV16/18 positive57421573.7
HPV16/18 negative36231363.9

Notes: Experimental results were tested by Chi-square test and the difference between the two groups is not statistically significant. χ=1.006, P=0.316.

The Distribution of ZNF582 Promoter Methylation and HPV16/18 Infection of in CINII, III and Cervical Cancer Tissues Notes: Experimental results were tested by Chi-square test and the difference between the two groups is not statistically significant. χ=1.006, P=0.316.

The mRNA Expression Level of ZNF582 Promoter Methylation was Significantly Reduced

The mRNA expression in 10 cases of cervical cancer with methylation was 0.46 ± 0.33, while in 10 cases of normal cervical tissue with no methylation the RNA expression was 1.05 ± 0.16. The expression level of mRNA, in the methylation-positive group, was significantly lower than the negative group (P<0.01), the differences were statistically significant (Table 5, Figure 2).
Table 5

ZNF582 Gene Expression Analysis

GroupsmRNA Expression (x± s)
Methylation negative1.0493±0.16315
Methylation positive0.4554±0.32580
P<0.000**

Notes: The expression level of ZNF582 gene mRNA in the methylation-positive group was significantly lower than that in the methylation-negative group (P<0.01), and the differences were statistically significant. Experimental results were tested by the Mann–Whitney U-test, **P<0.001.

Figure 2

The mRNA expression in 10 cases of cervical cancer tissue (methylation-positive) and in 10 cases of normal cervical tissue (methylation-negative). The expression level of ZNF582 gene mRNA in the methylation-positive group was significantly lower than that in the methylation-negative group, and the differences were statistically significant. Experimental results were tested by the Mann–Whitney U-test, ****P<0.0001.

ZNF582 Gene Expression Analysis Notes: The expression level of ZNF582 gene mRNA in the methylation-positive group was significantly lower than that in the methylation-negative group (P<0.01), and the differences were statistically significant. Experimental results were tested by the Mann–Whitney U-test, **P<0.001. The mRNA expression in 10 cases of cervical cancer tissue (methylation-positive) and in 10 cases of normal cervical tissue (methylation-negative). The expression level of ZNF582 gene mRNA in the methylation-positive group was significantly lower than that in the methylation-negative group, and the differences were statistically significant. Experimental results were tested by the Mann–Whitney U-test, ****P<0.0001.

Correlation Between Promoter Methylation of ZNF582 Gene and Clinical Pathological Factors

The results showed that there was no correlation between age, FIGO stage or ZNF582 gene promoter methylation (P>0.05) in 68 cases of cervical cancer (Table 6).
Table 6

ZNF582 Promoter Methylation with Clinical Information of Cervical Cancer Patients

Clinical FactorTotalMethylatedUnmethylatedMethylation Rate (%)χ2 valueP value
Age/year
 <5038261268.4 (26/38)1.1550.283
 ≥503024680.0 (24/30)
FIGO stage
 I42301271.4 (30/42)0.7530.785
 II1813572.2 (13/18)
 III87187.5 (7/8)
ZNF582 Promoter Methylation with Clinical Information of Cervical Cancer Patients

Diagnostic Efficacy of ZNF582 Promoter Methylation and HPV16/18 Infection

We compared the sensitivity, specificity, and positive and negative predictive value of ZNF582 promoter methylation and HPV16/18 infection detection in normal cervical tissue, low-grade cervical intraepithelial neoplasia (CINI), high-grade cervical intraepithelial neoplasia (CINII and CINIII) and cervical cancer tissue. The results showed that with the sensitivity and specificity of cervical cancer diagnosis, the ZNF582 promoter methylation was 69.9% and 83.6%, respectively. The sensitivity and specificity of detecting the methylation of ZNF582 gene promoter are higher than that of HPV16/18 infection, and the sensitivity and specificity of HPV16/18 detection are 61.3% and 82.0%, respectively (Table 7).
Table 7

Sensitivity and Positive Predictive Value Detection HSIL and Cervical Cancer Tissues, Negative Predictive Value and Specific Analysis of the Normal Tissues and LSIL

GroupsSensitivity (%)Specificity (%)PPV (%)NPV (%)
HSIL/CancerNormalNormal/LSILHSIL/CancerNormalNormal /LSIL
HPV16/1861.3 (57/93)78.4 (40/51)82.0 (50/61)83.8 (57/68)52.6 (40/76)65.8 (50/76)
ZNF58269.9 (65/93)84.3 (42/51)83.6 (51/61)86.7 (65/75)53.2 (42/79)64.6 (51/79)

Abbreviations: HSIL, high grade cervical squamous cell injury, including CINII and CINIII; LSIL, low grade cervical squamous cell injury, including CINI; PPV, positive predictive value; NPV, positive predictive value.

Sensitivity and Positive Predictive Value Detection HSIL and Cervical Cancer Tissues, Negative Predictive Value and Specific Analysis of the Normal Tissues and LSIL Abbreviations: HSIL, high grade cervical squamous cell injury, including CINII and CINIII; LSIL, low grade cervical squamous cell injury, including CINI; PPV, positive predictive value; NPV, positive predictive value.

ZNF582 Protein Expression is Increased Expression in Cervical Cancer Tissues

We analyzed ZNF582 protein levels in 87 tissues of cervical cancer tissue and normal cervical tissue by immunohistochemistry. Compared with normal tissues, ZNF582 expression was abnormally upregulated; 86 of 87 cancer patient samples were positive, suggesting ZNF582 protein expression levels can be used to diagnose cervical cancer (Table 8, Figure 3).
Table 8

Statistical Analysis of ZNF582 Expression in Cervical Cancer Tissues and Cervicitis Tissues

NegativeWeakModerateStrongTotalZ valueP value
Cervicitis tissues10282646847.57<0.0001
Cervical cancer tissues12384687101.78

Notes: Experimental results were tested by the Wilcoxon rank sum test. Data show that ZNF582 was highly expressed in cancer tissues, and the difference is significant in the expression level of ZNF582 protein in cervicitis tissue and cervical cancer tissue.

Figure 3

ZNF582 protein expression in cervicitis and cervical cancer tissues by immunohistochemistry. From left to right, Low expression of ZNF582 in a cervicitis tissue, high expression of ZNF582 in a cervicitis tissue, higher expression of ZNF582 in a cervical cancer, highest expression of ZNF582 in a cervical cancer. The microscope magnification is 100.

Statistical Analysis of ZNF582 Expression in Cervical Cancer Tissues and Cervicitis Tissues Notes: Experimental results were tested by the Wilcoxon rank sum test. Data show that ZNF582 was highly expressed in cancer tissues, and the difference is significant in the expression level of ZNF582 protein in cervicitis tissue and cervical cancer tissue. ZNF582 protein expression in cervicitis and cervical cancer tissues by immunohistochemistry. From left to right, Low expression of ZNF582 in a cervicitis tissue, high expression of ZNF582 in a cervicitis tissue, higher expression of ZNF582 in a cervical cancer, highest expression of ZNF582 in a cervical cancer. The microscope magnification is 100.

Discussion

Cervical cancer is one of the leading causes of cancer death in women, and the 5-year survival rate of these patients is low.18 Although research in cervical cancer has made great strides, it is still a serious burden, especially in China.19 The overall survival rate of a patient with an early diagnosis of cervical cancer has increased in recent years; however, the prognosis of metastatic cervical cancer remains poor.20 For individualized care and management of patients with cervical cancer, it is important to identify diagnostic and prognostic biomarkers that can be effectively used to guide treatment decisions.7,21,22 Epidemiological and molecular studies support the conclusion that persistent infections of high risk types of human papillomavirus (HPV) are essential but not exclusive prerequisites for cervical carcinogenesis, and has led to the development of HPV DNA testing to improve cervical cancer screening strategies.23,24 Additional genetic and epigenetic alterations are required for progression from precancerous disease to invasive cancer.25,26 Specific epigenetic processes include DNA methylation, chromatin remodeling, histone modification, and microRNA regulations.27 CpG methylation of promoters, an important epigenetic mechanism for gene silencing, is an early and frequently identified alteration in carcinogenesis.28 Immunohistochemical staining showed that ZNF582 was weakly expressed in normal cervical tissues but highly expressed in cervical cancer. However, experimental studies have shown that ZNF582 mRNA has low expression in cervical tissues. The specific mechanism of the inconsistent expression of ZNF582 at the mRNA and protein levels is unclear, and further experimental verification is required.29–31 It is possible to measure ZNF582 protein expression by immunohistochemistry for cervical cancer diagnosis. Methylation results showed that in normal tissues, CIN, and cervical cancer tissues, the methylation rates of ZNF582 gene were 17.6%, 45.7%, and 73.5%, respectively. With the severity of disease, the methylation rate of the ZNF582 promoter increased gradually. At the same time, our study found that there was no significant correlation between age or FIGO stage and the methylation rate of ZNF582 in 68 cases of cervical cancer. We used real-time quantitative PCR to detect ZNF582 gene expression in methylation positive and negative cervical tissues. The results showed that the expression level of the methylation-positive group was significantly lower than the negative group (P<0.01). In this study, we analyzed 93 cases of high-grade cervical injury (CINII and above) and cervical cancer samples, and a total of 57 samples of HPV16/18 infection, 36 cases without infection. The ratio of methylated ZNF582 in the HPV16/18 infection positive group was 73.7%, while the negative was 63.9%. The difference was not statistically significant. This result suggested that HPV16/18 infection may have no relation to the methylation of the ZNF582 gene promoter. Our results indicated that ZNF582 mRNA was weakly expressed, possibly caused by excessive methylation of the ZNF582 gene, but its protein was highly expressed in cervical cancer tissues, due to other unclear mechanisms in vivo. In the diagnosis of cervical cancer, we compared the sensitivity and specificity of ZNF582 gene methylation and HPV16/18 infection detection. The sensitivity and specificity of detecting the methylation of ZNF582 gene promoter are higher than that of HPV16/18 infection. The methylation rate of the ZNF582 gene promoter was not affected by cervical lesion grade.

Conclusion

In order to reduce the large number of false-positive results of HPV16/18 testing, which may cause unnecessary medical measures and psychological burden in women, the degree of methylation of the ZNF582 gene promoter can be measured. Because of its high specificity and sensitivity to CINII and above, it can be used as a diagnostic indicator of cervical cancer.
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Journal:  Clin Chim Acta       Date:  2015-03-12       Impact factor: 3.786

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Journal:  Clin Ther       Date:  2015-09-16       Impact factor: 3.393

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Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

9.  Methylation in the promoter regions of WT1, NKX6-1 and DBC1 genes in cervical cancer tissues of Uygur women in Xinjiang.

Authors:  Dan Wu; Jinli Zhang; Peiwen Fan; Hongtao Li; Dongmei Li; Huan Pan; Hongchang He; Xianxian Ren; Zhenzhen Pan; Renfu Shao; Zemin Pan
Journal:  Genet Mol Biol       Date:  2018 Jan-Mar       Impact factor: 1.771

10.  Targeting the functional interplay between endoplasmic reticulum oxidoreductin-1α and protein disulfide isomerase suppresses the progression of cervical cancer.

Authors:  Yini Zhang; Tao Li; Lihui Zhang; Fugen Shangguan; Guizhi Shi; Xun Wu; Ya Cui; Xi'e Wang; Xi Wang; Yongzhang Liu; Bin Lu; Taotao Wei; Chih-Chen Wang; Lei Wang
Journal:  EBioMedicine       Date:  2019-02-27       Impact factor: 8.143

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