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A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study
by
Cai, Hongning
, Zhang, Hongping
, Yu, Jing
, Zhang, Lei
, Xu, Jian
, Huang, Wenxian
in
Accuracy
/ Actin
/ Ammunition
/ Analysis
/ Biomarkers
/ Biopsy
/ Cancer genetics
/ Cancer research
/ Cervical cancer
/ cervical cancer;dna methylation;pax1;sox1;dmrs;qmsp detection
/ Cervicitis
/ Childrens health
/ Cohort analysis
/ Data analysis
/ Deoxyribonucleic acid
/ Development and progression
/ Diagnosis
/ DMRs
/ DNA
/ DNA methylation
/ Genes
/ Genetic aspects
/ Hospitals
/ Human papillomavirus
/ Lesions
/ Life sciences
/ Maternal & child health
/ Medical screening
/ Methylation
/ Muscle proteins
/ Original Research
/ PAX1
/ qMSP detection
/ SOX1
/ Sulfites
/ Time
/ Tumors
/ Womens health
2020
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A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study
by
Cai, Hongning
, Zhang, Hongping
, Yu, Jing
, Zhang, Lei
, Xu, Jian
, Huang, Wenxian
in
Accuracy
/ Actin
/ Ammunition
/ Analysis
/ Biomarkers
/ Biopsy
/ Cancer genetics
/ Cancer research
/ Cervical cancer
/ cervical cancer;dna methylation;pax1;sox1;dmrs;qmsp detection
/ Cervicitis
/ Childrens health
/ Cohort analysis
/ Data analysis
/ Deoxyribonucleic acid
/ Development and progression
/ Diagnosis
/ DMRs
/ DNA
/ DNA methylation
/ Genes
/ Genetic aspects
/ Hospitals
/ Human papillomavirus
/ Lesions
/ Life sciences
/ Maternal & child health
/ Medical screening
/ Methylation
/ Muscle proteins
/ Original Research
/ PAX1
/ qMSP detection
/ SOX1
/ Sulfites
/ Time
/ Tumors
/ Womens health
2020
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A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study
by
Cai, Hongning
, Zhang, Hongping
, Yu, Jing
, Zhang, Lei
, Xu, Jian
, Huang, Wenxian
in
Accuracy
/ Actin
/ Ammunition
/ Analysis
/ Biomarkers
/ Biopsy
/ Cancer genetics
/ Cancer research
/ Cervical cancer
/ cervical cancer;dna methylation;pax1;sox1;dmrs;qmsp detection
/ Cervicitis
/ Childrens health
/ Cohort analysis
/ Data analysis
/ Deoxyribonucleic acid
/ Development and progression
/ Diagnosis
/ DMRs
/ DNA
/ DNA methylation
/ Genes
/ Genetic aspects
/ Hospitals
/ Human papillomavirus
/ Lesions
/ Life sciences
/ Maternal & child health
/ Medical screening
/ Methylation
/ Muscle proteins
/ Original Research
/ PAX1
/ qMSP detection
/ SOX1
/ Sulfites
/ Time
/ Tumors
/ Womens health
2020
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A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study
Journal Article
A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study
2020
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Overview
The aim of this study is to assess the diagnostic and screening performance of a standardized methylation-specific real-time PCR assay targeting
and
genes for cervical cancer in a Chinese cohort.
Genomic DNA was extracted from cervical exfoliated cells and converted by sodium bisulfite and then analyzed by qMSP assay. Ct values were collected for
and
as target genes and
as an endogenous reference gene. The samples included 295 cervicitis, 111 LSIL (low-grade squamous intraepithelial lesion), 51 HSIL (high-grade squamous intraepithelial lesion) and 30 cervical cancer.
The Ct values decreased with the progression of cervical cancer from cervicitis, through LSIL and HSIL to cancer. The difference in Ct values between cytological grades was highly significant (p≤0.01) between grades either for
or for
except the difference between cervicitis and LSIL of
. With the Ct cut-off values of
gene and
gene 38.6 and 38 and with the
/
in combination, the positive rate of methylation in invasive cancer tissues was 100%, in contrast to 11.5% (95% CI: 8.67%-14.33%) in cervicitis tissues, 45.1% (95% CI: 40.68%-49.52%) in LSIL tissues, and 68.5% (95% CI: 64.37%-72.63%) in HSIL tissues. The specificity and sensitivity of differentiating tumors from cervicitis were 0.957 (95% CI: 0.939-0.975) and 1.00, respectively. The specificity and sensitivity of differentiation between cervicitis+LSIL and HSIL+cervical cancer were 0.881 (95% CI: 0.852-0.91) and 0.748 (95% CI: 0.709-0.787), respectively.
/
methylation could be translated into clinical practice for cervical neoplasia detection.
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