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Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

ABSTRACT: BACKGROUND:To study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models. METHODS:Genemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to verify the differential expression of the identified genes in different tissues. R language was used for predictive model establishment. RESULTS:A total of 10 genes were investigated in this study. A total of 30 cases of cervical squamous cell cancer (SCC), 52 cases of CIN and 38 cases of normal cervix were enrolled. Compared to CIN cases, the age of patients in the SCC group was older, the number of parities was greater, and the percentage of patients diagnosed with CINII+ by TCT was higher. The expression of TGFBR2, CSKN1A1, PRKCI and CTBP2 was significantly higher in the SCC groups. Compared to patients with normal cervix tissue, the percentage of patients who were HPV positive and were diagnosed with CINII+ by TCT was significantly higher. FOXO1 expression was significantly higher in CIN tissue, but TGFBR2 and CTBP2 expression was significantly lower in CIN tissue. The significantly different genes and clinical factors were included in the models. CONCLUSIONS:Combination of clinical and significant genes to establish the random forest models can provide references to predict the occurrence and progression of CIN.

SUBMITTER: Chen M

PROVIDER: S-EPMC7523359 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

Chen Mengjie M Wang He H Liang Yuejuan Y Hu Mingmiao M Li Li L

BMC cancer 20200929 1

<h4>Background</h4>To study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models.<h4>Methods</h4>Genemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to ve ...[more]

PMID: 32993576

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Project description:Around the world, cervical cancer is one of the most common neoplastic diseases among women, and the prognosis of patients in an advanced stage remains poor. To reduce the mortality rate of cervical cancer, early diagnosis and treatment are essential. DNA methylation is an important aspect of gene regulation, and aberrant DNA methylation contributes to carcinogenesis and cancer progression in various cancers. Although 5-methylcytosine (5mC) has been analyzed intensively, the function of 5-hydroxymethylcytosine (5hmC) has not been clarified. The purpose of our study was to identify the molecular biomarkers for early diagnosis of cervical tumors due to epigenetic alterations. To assess the clinical relevance of DNA methylation, we used immunohistochemistry (IHC) to characterize the level of 5hmC in 102 archived human cervical intraepithelial neoplasia (CIN) samples and cervical cancer specimens. The level of 5hmC was significantly decreased between CIN2 and CIN3. The progression of cervical tumors is caused by a reduction of TP53 and RB1 because of HPV infection. We observed that Tp53 and Rb1 were knocked down in mouse embryonic fibroblasts (MEF), a model of normal cells. The level of 5hmC was reduced in Tp53-knockdown cells, and the expression levels of DNA methyltransferase 1 (DNMT1) and ten-eleven translocation methylcytosine dioxygenase 1 (TET1) were induced. In contrast, there was no significant change in Rb1-knockdown cells. Mechanistically, we focused on apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like (APOBEC) 3B (A3B) as a cause of 5hmC reduction after TP53 knockdown. In the human cell line HHUA with a wild-type TP53 gene, A3B was induced in TP53-knockdown cells, and A3B knockdown recovered 5hmC levels in TP53-knockdown cells. These data indicate that TP53 suppression leads to 5hmC reduction in part through A3B induction. Moreover, IHC showed that expression levels of A3B in CIN3 were significantly higher than those in both normal epithelium and in CIN2. In conclusion, 5hmC levels are decreased between CIN2 and CIN3 through the TP53-A3B pathway. Since A3B could impair genome stability, 5hmC loss might increase the chances of accumulating mutations and of progressing from CIN3 to cervical cancer. Thus, these epigenetic changes could predict whether CINs are progressing to cancer or disappearing.

Project description:In most cases human papillomavirus (HPV) infections are cleared from the cervical cells by the immune system itself, but in a few cases, where there is persistent HPV infection, it can lead to cervical intraepithelial neoplasia (CIN) progression and ultimately invasive cervical carcinoma. The cytopathic effect is in general accompanied by chronic inflammation, which produces inflammation cytokines that contribute to DNA damage, and at the same time, aberrations occurred in the host DNA repair mechanisms, thus lead to HPV genomic integration into the host cells which propels cell immortalization. In this study, we reported the genome-wide expression profiles of both microRNAs (miRNAs) and mRNAs from 24 cervical samples with consecutive stages of normal, CIN I (mild dysplasia) and CIN III (severe dysplasia and carcinoma in situ), and presented the SIG++ algorithm which is founded on the evolution process of intermolecular regulation change during disease progression, to identify the significant change of miRNA-mRNA regulations rather than the expression change, across different disease stages, thereupon elucidating the molecular mechanisms of increasing host genomic instability as disease progresses. As reconstructing miRNA differential networks, we found that at each stage of CIN, there respectively exists specific miRNA regulations mediating chronic inflammation persistence, genome instability and cell survival, which coordinately carrys out the integration of HPV genomes into the host cell genomes, and finally results in cell immortalization. Beyond the specific implications for cervical carcinogenesis, this work establishes a new framework for studying the biology of miRNAs in pathogenesis from the perspective of miRNA differential regulation, and helps ensure the comprehensiveness of miRNA-mediated genetic regulatory pathways. There are totally 24 clinical samples in this study comprises three stages: 7 normal cervix samples (HPV-), 9 CIN I samples (HPV+) and CIN III samples (HPV+), where normal refers to the adjacent tissue of early lesions. For each sample, its total RNA was extracted and purified, then separately hybridized to Illumina HumanHT-12 V4.0 expression beadchip (gene symbol) and Illumina Human v2 MicroRNA Expression BeadChip, for examining the expression profiles of mRNAs and miRNAs, respectively.

Dataset Information

Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

Publications

Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

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