Cervical Intraepithelial Neoplasia Samples Research Articles

Whole genome sequencing in high-grade cervical intraepithelial neoplasia patients from different ethnic groups in China.

Cervical cancer (CC) is the fourth most common cancer in women worldwide. It develops through precancerous lesions (cervical intraepithelial neoplasia (CIN), graded from low-grade (CIN1) to high-grade (CIN2-3)). It is well established that precancerous and cancerous cervical lesions are caused by a persistent infection with high-risk types of the human papilloma virus (hrHPV). To have a deeper understanding of the pathogenesis of CIN and CC, we systematically analyzed the landscape of genomic alterations and HPV integration profiles in high-grade CIN2/3. We performed deep whole genome sequencing on exfoliated cervical cells and matched peripheral blood samples from a cohort of 51 Chinese patients (of whom 35 were HPV+) with high-grade CIN from 3 ethnic groups and constructed strict integrated workflow of genomic analysis. In addition, the HPV types and integration breakpoints in the exfoliated cervical cells from these patients were examined. Genomic analysis identified 6 significantly mutated genes (SMGs), including CDKN2A, PIK3CB, FAM20A, RABEP1, TMPRSS2 and SS18L1, in 51 CIN2/3 samples. As none of them had previously been identified as SMGs in the Cancer Genome Atlas cervical squamous cell carcinoma and endocervical adenocarcinoma (TCGA-CESC) cohort, future studies with larger sample size of CINs may be needed to validate our findings. Mutational signature analysis showed that mutational signatures of CINs were dramatically different from CCs, highlighting their different mutational processes and etiologies. Moreover, non-silent somatic mutations were detected in all of the CIN2/3 samples, and 88% of these mutations occurred in genes that also mutated in CCs of TCGA cohort. CIN2 samples had significantly less non-silent mutations than CIN3 samples (P = .0006). Gene ontology and pathway level analysis revealed that functions of mutated genes were significantly associated with tumorigenesis, thus these genes may be involved in the development and progression of CC. HPV integration breakpoints occurred in 28.6% of the CIN2/3 samples with HPV infection. Integrations of common high risk HPV types in CCs, including HPV16, 52, 58 and 68, also occurred in the CIN samples. Our results lay the groundwork for a deeper understanding of the molecular mechanisms underlying the pathogenesis of CC and pave the way for new tools for screening, diagnosis and treatment of cervical precancerous and cancerous lesions.

Genomic Characterization of Low and High Grade Cervical Intraepithelial Neoplasia in Comparison to Cervical Cancer

Screening reduces incidence of cervical cancer (CC) through identification and treatment of cervical intraepithelial neoplasia (CIN). Triage of CIN must balance between overtreatment versus progression as invasive therapies increase the risk of side effects including obstetric complications. The majority of CIN 1-2 lesions regress and a subset of CIN 3 lesions progress, however, due to inability to differentiate lesions likely to progress, the majority of CIN 2-3 lesions are treated with resection. Improved genomic and molecular identifiers of disease represent an urgent unmet clinical need. Using next generation sequencing of a targeted exome panel of 1109 genes (previously validated), we characterized somatic mutations in 36 CIN (14 CIN 1, 11 CIN 2, 11 CIN 3) and 13 CC samples. Sequencing of CIN samples was performed on exfoliated cervical cells. CIN diagnosis and grade was confirmed on biopsy. Mutation profiles between CIN grades and CC were compared to identify genomic patterns that distinguish these groups. Across the 49 samples sequenced, we identified a total of 5142 somatic mutations, including 2178 missense, 2522 synonymous, 171 nonsense, 62 splice site, 135 inframe indels, and 74 frameshift mutations. The mutation frequency was significantly higher in CC vs CIN1-3 (Table), p<0.01 (Wilcoxon signed-rank test). The difference in mutation frequency and type (Table) was not significant between CIN grades 1, 2 and 3 (p = 0.07, Kruskal-Wallis test). Cancer related pathway signatures were analyzed for the percentage of CC vs CIN samples with at least one altered variant as follows: RTK-RAS (92% vs 31%), PI3K (92% vs 17%), NOTCH (100% vs 39%), WNT (85% vs 14%) and cell cycle (53% vs 3%). Ninety percent of CC samples versus only 30% of CINs had nonsynonymous variants in the RTK-RAS and NOTCH pathways as well as the PI3K pathway which is implicated as a late event in cervical carcinogenesis. We observed recurrent missense variants in ABL1, IGF1R, TSC2 in the CIN2, CIN3 and CC samples, particularly in genes that belong to the RTK-RAS, PI3K, NOTCH pathway signatures. Potential driver mutations in EGFR, PIK3CA, ERBB4, MTOR, CSF1R genes were exclusive to CC samples. Our results show that there is a clear distinction of mutational burden and type between cervical cancer and CIN1-3. However, the pathologic grading of CIN is not consistently associated with dynamic changes in overall mutation burden, type, or specific genes with escalating CIN grade. This data supports the hypothesis that late genetic events in CIN accompany a transition to invasive cervical cancer.

Expression of GMFB in High-Grade Cervical Intraepithelial Neoplasia and Its Role in Cervical Cancer.

Cervical intraepithelial neoplasia (CIN) is a collective term for specific precancerous lesions associated with cervical cancer (CC). Although it has been affirmed with slow development of several levels of cellular changes, the existing poor prognosis calls for an urgent need to diagnose CIN at early stage and be aware of markers related to its pathogenesis and prognosis. We explored the expression level of a newly marker GMFB and its regulatory effect on CIN and CC. Patient samples and cell models were included. Bioinformatic studies were taken to predict its binding to miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. Luciferase reporter and RNA pull-down assays were used to validate the prediction. Edu assay and flow cytometry were used to measure the regulation of GMFB on proliferation and apoptosis of CC cells. qRT-PCR was used for mRNA expression level detection. The results showed that GMFB was targeted by miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. It had elevated expression in both CIN and CC samples. GMFB had highly prognostic value for CIN, and lymph node metastasis of CC was much associated with high GMFB expression level. Besides, silencing of GMFB inhibited CC cell proliferation and elevated cell apoptosis. In conclusion, we determined that GMFB has regulatory effect on high grade CIN and CC, which could lighten a novel way in exploring their pathogenesis and improving accuracy of prognosis.

Alteration of Gene and miRNA Expression in Cervical Intraepithelial Neoplasia and Cervical Cancer

Background: Cervical cancer is one of the most common malignancies in women in terms of prevalence and mortality. Cervical cancer has some particularities that distinguish it from any other oncologic pathology: first, it is completely preventable by prompt detection of its precursor, cervical intraepithelial neoplasia (CIN); second, the Human Papillomavirus (HPV) infection is a known etiological agent; third, the mean age at diagnosis is much lower than in other oncologic conditions, as a consequence of the sexually-transmitted HPV. Methods: We evaluated the expression level of several long noncoding RNAs and a microRNA in samples from 30 patients with CIN, 9 with cervical cancer and 38 normal samples using qRT-PCR technology. Results: We observed higher expression levels for MEG3, DAPK1, MLH1 and MALAT1 in CIN samples than in normal samples, whereas TIMP3 and SOX1 had lower expression levels. For cancer samples, DAPK1, MLH1 and MALAT1 had higher expression, and MEG3, TIMP3 and SOX1 had lower expression when compared to normal samples. In the case of CIN versus cancer samples, only MEG3 gene showed a statistically significant difference. The expression of miR-205-5p was lower in both CIN and cancer samples compared to normal samples. Conclusion: Decreased MEG3 expression could be considered an alarm signal in the transition from a premalignant cervical lesion to invasive cancer, while altered expression levels of TIMP3, SOX1, MLH1, MALAT1 and miR-205-5p could serve as early biomarkers in the diagnosis of premalignant cervical lesions. Future studies, including a larger number of patients with CIN, will be of particular importance in validating these observations.

Expression and Analysis of Rsf-1 and P16 in Cervical Intraepithelial Neoplasia

Objective: The molecular mechanism in the occurrence and progression of cervical intraepithelial neoplasia (CIN) is of great theoretical significance to improve the early diagnosis, treatment and prognostic judgement of CIN in clinical practice. The current study aimed to detect the expression of remodel and space factor-1 (Rsf-1) and P16 in CIN, and to analyze the expression of Rsf-1 and P16 in different stages of CIN and to investigate the possible correlation. Methods: A total of 110 samples of CIN were collected from the Department of Pathology, the First Affiliated Hospital of Bengbu Medical College in 2018. Rsf-1 and P16 was detected by immunohistochemical staining in pathological tissue sections. The correlation between Rsf-1 expression and P16 expression in CIN was further analyzed. Results: The immunohistochemical results of 110 cases of CIN showed that the positive rate of P16 and Rsf-1 gradually increases with the grade of CIN increases. The expression of P16 was significantly different between different CIN grade (p = 0.011). The expression of Rsf-1 was also significantly different in different CIN grade (p = 0.015). Conclusions: Rsf-1 and P16 was highly expressed or over-expressed in high-grade CIN, and the positive rate of their expression increased with the increase in CIN grade.

PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed Genes

The investigation of differentially expressed genes (DEGs) and their interactome could provide valuable insights for the development of markers to optimize cervical intraepithelial neoplasia (CIN) screening and treatment. This study investigated patients with cervical disease to identify gene markers whose dysregulated expression and protein interaction interface were linked with CIN and cervical cancer (CC). Literature search of microarray datasets containing cervical epithelial samples was conducted in Gene Expression Omnibus and Pubmed/Medline from inception until March 2021. Retrieved DEGs were used to construct two protein-protein interaction (PPI) networks. Module DEGs that overlapped between CIN and CC samples, were ranked based on 11 topological algorithms. The highest-ranked hub gene was retrieved and its correlation with prognosis, tissue expression and tumor purity in patients with CC, was evaluated. Screening of the literature yielded 9 microarray datasets (GSE7803, GSE27678, GSE63514, GSE6791, GSE9750, GSE29570, GSE39001, GSE63678, GSE67522). Two PPI networks from CIN and CC samples were constructed and consisted of 1704 and 3748 DEGs along 21393 and 79828 interactions, respectively. Two gene clusters were retrieved in the CIN network and three in the CC network. Multi-algorithmic topological analysis revealed PCNA as the highest ranked hub gene between the two networks, both in terms of expression and interactions. Further analysis revealed that while PCNA was overexpressed in CC tissues, it was correlated with favorable prognosis (log-rank P=0.022, HR=0.58) and tumor purity (P=9.86 × 10-4, partial rho=0.197) in CC patients. This study identified that cervical PCNA exhibited multi-algorithmic topological significance among DEGs from CIN and CC samples. Overall, PCNA may serve as a potential gene marker of CIN progression. Experimental validation is necessary to examine its value in patients with cervical disease.

HPV58 E7 Protein Expression Profile in Cervical Cancer and CIN with Immunohistochemistry.

Background: The persistent infection of high-risk human papillomavirus (HR-HPV) is one of the most common causes of cervical cancer worldwide, and HPV type 58 (HPV58) is the third most common HPV type in eastern Asia. The E7 oncoprotein is constitutively expressed in HPV58-associated cervical cancer cells and plays a key role during tumorigenesis. This study aimed to assess the HPV58 E7 protein expression in the tissues of cervical cancer and cervical intraepithelial neoplasia (CIN).Methods: A total of 67 HPV58-positive cervical samples were collected, including 25 cervical cancer samples and 42 CIN samples. All the tissues were examined by HPV58 E7, p16INK4a and Ki67 immunohistochemistry (IHC). At last, we analyzed their association with clinical and pathological variables.Results: HPV58 E7 expression was detected in 96% of the HPV58 DNA-positive cervical cancer tissues and 85.7% of HPV58-positive CIN tissues. 65 samples of cervical cancer and CIN tissues had p16-positive staining, while 59 samples were Ki-67 positive.Conclusions: HPV58 E7 protein is highly expressed in both cervical cancer and CIN tissues. HPV58 E7 IHC could be sensitive and specific for evaluating HPV-driven cervical cancer and pre-cancerous lesions, in combination with p16 and Ki-67 IHC.

Regulation of LCoR and RIP140 expression in cervical intraepithelial neoplasia and correlation with CIN progression and dedifferentiation

PurposeLigand-dependent corepressor (LCoR) and receptor-interacting protein 140 (RIP140/NRIP1) play an important role in the regulation of multiple oncogenic signaling pathways and the development of cancer. LCoR and RIP140 form a nuclear complex in breast cancer cells and are of prognostic value in further prostate and cervical cancer. The purpose of this study was to analyze the regulation of these proteins in the development of cervical intraepithelial neoplasia (CIN I–III).MethodsImmunohistochemical analysis was obtained to quantify RIP140 and LCoR expression in formalin-fixed paraffin embedded tissue sections of cervical intraepithelial neoplasia samples. Tissue (n = 94) was collected from patients treated in the Department of Gynecology and Obstetrics, Ludwig-Maximilians-University of Munich, Germany, between 2002 and 2014. Correlations of expression levels with clinical outcome were carried out to assess for prognostic relevance in patients with CIN2 progression. Kruskal–Wallis test and Mann–Whitney U test were used for data analysis.ResultsNuclear LCoR overexpression correlates significantly with CIN II progression. Nuclear RIP140 expression significantly increases and nuclear LCoR expression decreases with higher grading of cervical intraepithelial neoplasia. Cytoplasmic RIP140 expression is significantly higher in CIN III than in CIN I or CIN II.ConclusionA decrease of nuclear LCoR expression in line with an increase of dedifferentiation of CIN can be observed. Nuclear LCoR overexpression correlates with CIN II progression indicating a prognostic value of LCoR in cervical intraepithelial neoplasia. Nuclear and cytoplasmic RIP140 expression increases significantly with higher grading of cervical intraepithelial neoplasia underlining its potential role in the development of pre-cancerous lesions. These findings support the relevance of LCoR and RIP140 in the tumorigenesis indicating a possible role of LCoR and RIP140 as targets for novel therapeutic approaches in cervical intraepithelial neoplasia and cervical cancer.

Bioinformatics analysis and identification of potential genes related to pathogenesis of cervical intraepithelial neoplasia

The aim of this study was to explore and identify the key genes and signal pathways contributing to cervical intraepithelial neoplasia (CIN). The gene expression profiles of GSE63514 were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened performing with packages in software R. After Gene ontology terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyzing, and Gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA) was used to analyze these genes. Then sub-modules were subsequently analyzed base CIN grade, and protein-protein interaction (PPI) network of DEGs were constructed. 537 DEGs were screened in total, consisting 331 up-regulated genes and 206 down-regulated genes in CIN samples compared to normal samples. The most DEGs were enriched in chromosomal region in cellular component (CC), organelle fission inbiological process (BP) and ATPase activity in molecular function (MF). KEGG pathway enrichment analyzing found the DEGs were mainly concentrated in 10 pathways. The results of GSEA mainly enriched in 4 functional sets: E2F-Targets, G2M-Checkpoint, Mitotic-Spindle and Spermatogenesis. A total of 6 modules were identified by WCGNA. Subsequently, grey module was the highest correlation (Cor=0.78, P=5e-22) and 31 genes were taken as candidate hub genes for CIN high grade risk (weighted correlation coefficients >0.80). Finally, diagnostic analysis showed that in addition to CCDC7, the expression levels of the remaining 13 DEGs have a high diagnostic value (AUC>0.8 and P<0.05). These findings provided a new sight into the understanding of molecular functions for CIN.

Comprehensive genomic variation profiling of cervical intraepithelial neoplasia and cervical cancer identifies potential targets for cervical cancer early warning

BackgroundTo better understand the pathogenesis of cervical cancer (CC), we systematically analysed the genomic variation and human papillomavirus (HPV) integration profiles of cervical intraepithelial neoplasia (CIN) and CC.MethodsWe performed whole-genome...

The clinical significance of FAM19A4 methylation in high-risk HPV-positive cervical samples for the detection of cervical (pre)cancer in Chinese women

BackgroundTo explore the diagnostic value of FAM19A4 methylation in high-risk human papilloma virus (hrHPV)-positive cervical samples from Chinese women for estimating cervical cancer or its precancerous lesions.MethodsCervical samples from 215 women infected with high-risk HPV were collected by smear testing. We purposely chose 61 patients with cervical cancer, 57 with high-grade squamous intraepithelial lesions (HSIL), 31 with low-grade squamous intraepithelial lesions (LSIL), and 66 without cervical intraepithelial neoplasia (CIN) after histological confirmation. Taqman probe-based quantitative PCR (qPCR) was utilized to detect the methylation status of FAM19A4 in the cervical samples and further evaluate the use of this gene in the diagnosis of cervical cancer.Results(1) An increasing level of FAM19A4 methylation was detected with increasing progression of cervical lesions, with methylation rates of 10.61%(7/66), 35.48%(11/31), 56.14%(32/57) and 93.44%(57/61) in no CIN, LSIL, HSIL and cervical carcinoma samples respectively. (2) In all hrHPV-positive samples, the levels of FAM19A4 methylation in HPV16/18 groups were higher than that in 12 other hrHPV groups (P < 0.05), but there was no significant difference between two groups after grouping cervical lesions into cervical cancer, HSIL, LSIL and no CIN groups (P>0.05). (3)There were no significant differences of FAM19A4 methylation in different clinicopathological parameters of cervical cancer. (4) Though the sensitivity of FAM19A4 methylation test was inferior to that of cytology and FAM19A4 combining with HPV16/18 genotyping, but showed the best specificity with 81.44% both for detection HSIL alone and ≥ HSIL, with favorable youden index (YI) and area under curve (AUC).ConclusionFAM19A4 is a specific biomarker of cancerous lesions of the cervix. FAM19A4 methylation analysis may serve as an auxiliary screening method for diagnosis of cervical (pre)cancer. However, in consideration of the limitations of this retrospective study, prospective population-based studies are necessary for further confirmation of the diagnostic value of FAM19A4 methylation for detection of cervical (pre)cancer in Chinese women.

Prevalence of High Risk Human Papillomavirus (type-16 and 18) in High-Grade Cervical Intraepithelial Neoplasia (CIN) and Cervical Cancer in a Tertiary Hospital of Bangladesh

Background: Persistent infection with high-risk Human Papilloma Virus (HPV) causes development of cervical cancer. Among the high risk group, HPV-16 accounts for 50% &amp; HPV-18 accounts for 12% of cervical cancer.Objective: The current sudy aimed to evaluate the prevalence of HPV genotype 16 and 18 in high grade cervical intraepithelial neoplasia (CINII&amp;III) and cervical cancer.Methods: This descriptive type of cross-sectional observational study was carried out in colposcopy clinic of Mymensingh Medical College Hospital (MMCH), Bangladesh, from July 2012 to June 2013. Women with colposcopically diagnosed high-grade CIN and clinically diagnosed cervical carcinoma were enrolled. Pregnant &amp; menstruating women were excluded from this study. Colposcopy guided cervical biopsy were taken from high grade CIN with loop electrosugical excision procedure (LEEP) and wedge biopsy were taken from cervical cancer. All the specimen were reviewed by histopathologist to confirm the diagnosis. Extra sample of specimen were sent to the Department of Microbiology and Hygiene of Bangladesh Agriculture University, Mymensingh for the detection of HPV-16 &amp; 18 DNA by Polymerase Chain Reaction (PCR).Result: Out of 71 samples, histopathologically 4.2% was diagnosed as chronic cervicitis, 8.5% CIN I, 26.8% CIN II, 16.9% CIN III, 40.8% squamous cell carcinoma and 2.8% adenocarcinoma of cervix. The results revealed that 30 cases were positive for HPV-16, 06 cases for HPV-18 and 04 cases for both. In this study, the prevalence of HPV- 16 &amp; 18 infection was 56.3%. Infection found to be higher in women aged between 45 and 54 (P&lt;0.01). Most of them were from low socioeconomic status (P&lt;0.01) and married at an early age ranging from 11 to 15 (P&lt;0.01). It was found that multiparity correlated higher rate of HPV positivity than only one or two pregnancy, but statistically it was not significant (P&gt;0.05).Conclusion: The high prevalence of HPV-16 and 18 in high grade CIN and cervical cancer samples suggests that vaccination against HPV-16 and 18 may be effective in bringing down the cervical cancer incidence in Bangladesh.J Bangladesh Coll Phys Surg 2018; 36(3): 112-117

Comprehensive Genomic Variation Profiling of Cervical Intraepithelial Neoplasia and Cervical Cancer Identifies Potential Targets for Cervical Cancer Early Warning

To better understand the pathogenesis of cervical cancer (CC), we systematically analyzed the genomic variation and human papillomavirus (HPV) integration profiles of cervical intraepithelial neoplasia (CIN) and CC. We performed whole-genome sequencing (WGS) or whole-exome sequencing (WES) of 102 tumor-normal pairs and human papillomavirus (HPV) probe capture sequencing (HPCS) of 45 CCs, 44 cervical intraepithelial neoplasia (CIN) samples, and 25 normal cervical samples, and constructed strict integrated workflow of genomic analysis. Mutational analysis identified eight significantly mutated genes in CC including four genes (FAT1, MLL3, MLL2, and FADD), which have not previously been reported in CC. Targetable alterations were identified in 55.9% of patients. In addition, HPV integration breakpoints occurred in 97.8% of the CC samples, 70.5% of the CIN samples and 42.8% of the normal cervical samples with HPV infection. Integrations of high-risk HPV strains in CCs, including HPV16, 18, 33 and 58, also occurred in the CIN samples. Moreover, gene mutations were detected in 52% of the CIN specimens, and 54.8% of these mutations occurred in genes that also mutated in CCs. Our results lay the foundation for a deep understanding of the molecular mechanisms and finding new diagnostic and therapeutic targets of CC. Funding Statement: This work was supported by grants from the National High Technology Research and Development Program of China (2012AA02A205), the Chinese National Key Program on Basic Research (2014CB965002), the National Natural Science Foundation of China (81272306 and 81472639), and the Shanghai Commission for Science and Technology (15431902900 and 15JC1403000). Declaration of Interests: The authors declare that they have no competing interests. Ethics Approval Statement: Chinese CC patients were recruited under the approval of the Research Ethics Committee of Southwestern Hospital (No. 2014-016) and this project and protocols were conducted according to the Declaration of Helsinki. Informed consents were provided.

Loss of nuclear NOTCH1, but not its negative regulator NUMB, is an independent predictor of cervical malignancy.

The participation of NOTCH signaling in invasive cervical cancer (ICC) remains controversial since both tumor suppressive and oncogenic properties have been described. Additionally, the role of NUMB, a negative regulator of NOTCH, remains unclear in ICC. We aimed to investigate the role of NOTCH1 and NUMB expression and their localization in cervical intraepithelial neoplasia (CIN) and ICC samples. A total of 144 biopsies were obtained from the Instituto Nacional de Cancerología, México from 2004 to 2017, and were subjected to immunohistochemistry for NOTCH1 and NUMB. We found that nuclear NOTCH1 expression was more frequently found in CIN samples compared with ICC (77.55% vs. 15.79%, p = 0.001). NUMB was almost exclusively found in the nucleus of CIN samples (32.65% vs. 6.32%, p = 0.001). Cytoplasmic expression of NOTCH1 (44.21%) and NUMB (35.79%) was the most frequent localization in ICC. Multivariable-adjusted analysis showed that the loss of nuclear NOTCH1 expression was an independent predictor of malignancy (β = –3.428, 95% confidence interval [95% CI] = –5.127, –1.728, p = 0.001). In contrast, the association between cytoplasmic NUMB expression and cervical cancer was lost after adjusting for nuclear NOTCH1 expression (β = 2.074, 95% [CI] = –0.358, 4.506, P = 0.094). Additionally, patients with cytoplasmic NOTCH1 expression showed a borderline association with longer overall survival (OS) than those with nuclear NOTCH1 expression (P = 0.08). Our data suggest that the loss of nuclear NOTCH1 but not NUMB might be an independent predictor of malignancy in cervical cancer.

Increased high mobility group A 2 expression promotes transition of cervical intraepithelial neoplasm into cervical cancer.

Integration of the high risk human papillomavirus (HR-HPV) genome into host chromatin is an important step in cervical carcinogenesis. We identified HR-HPV integration sites within the human genome through detection of integrated papillomavirus sequences-PCR and assessed the role of high mobility group A 2 (HMGA2) in cervical carcinogenesis in clinical samples and cell lines. HPV integration sites were analyzed in 40 cervical cancer samples, while copy number variation and protein expression were assessed in 19 normal cervixes, 49 cervical intraepithelial neoplasia (CIN), and 52 cervical cancer samples. Overall, 25 HR-HPV integrating loci were detected in 24 cervical samples; HMGA2 was the only recurring integration site. Both HPV copy number and HMGA2 protein expression were higher in cervical cancer than CIN samples. Area under the curve (AUC) values for HMGA2 expression and HPV copy number were 0.910 (95% CI: 0.844–0.976) and 0.848 (95% CI: 0.772–0.923), respectively. Expression of Bcl-2 and Caspase 3 can indicate the cell proliferation and apoptosis. Transfection of HMGA2 siRNA decreased HMGA2 mRNA and protein expression, Bcl-2 expression, inhibited cell proliferation, and increased Caspase 3 expression and apoptosis in SiHa, CaSki and S12 cervical cancer cells. HMGA2 overexpression had the opposite effects. These results suggest that elevated HMGA2 expression is associated with transformation of CIN into cervical cancer and that HMGA2 might be a useful biomarker for assessing the risk of cervical lesion progression.

Nicotinamide Phosphoribosyl Transferase a Reliable Marker of Progression in Cervical Dysplasia.

Nicotinamide phosphoribosyl transferase (Nampt) catalyses the rate-limiting step of the mammalian nicotinamide adenine dinucleotide (NAD) salvage pathway. Nampt is highly expressed in several epithelial and mesenchymal neoplasms, where is promotes cell-cycle progression ans chemotherapy resistance. To our knowledge, alterations in Nampt expression have not been examined in cervical intraepithelial neoplasia (CIN) or squamous cell carcinoma (SCC). We performed immunohistochemical analysis for Nampt using tissue microarrays on 14 samples of benign cervical squamous epithelium and 15 CIN I, 15 CIN II, and 13 samples of CIN III. The SCCs included 5 low-grade, 67 intermediate-grade, and 81 high-grade tumors. Nampt levels increased with increased CIN grades were compared to benign cervical squamous epithelium. Similarly, Nampt levels increased with increasing SCC grade. Nampt expression is a reliable marker of progression in cervical dysplasia and SCC.

Expressions of programmed death (PD)-1 and PD-1 ligand (PD-L1) in cervical intraepithelial neoplasia and cervical squamous cell carcinomas are of prognostic value and associated with human papillomavirus status.

The programmed death 1/programmed death 1 ligand (PD-1/PD-L1) pathway can decrease the immune clearance effects of antigen-presenting cells and T lymphocytes to promote immune evasion of cervical cancer cells. However, the effects of this pathway on cervical intraepithelial neoplasia (CIN) progression and squamous cell carcinoma (SCC) metastasis are not clear. We herein investigated whether human papillomavirus infection could affect PD-1 and PD-L1 expression in CIN, and whether their expression is associated with CIN progression and SCC metastasis. We collected paraffin-embedded samples from two cohorts of patients: (i) CIN samples from cohort I (40 women who tested positive or negative for high-risk human papillomavirus [HR-HPV] with grades 0, I, and II-III CIN); and (ii) paired primary and metastatic tumor samples from cohort II (20 SCC patients with or without metastasis). Immunohistochemistry was used to detect expressions of PD-L1 in tumor cells and PD-1 in tumor-associated macrophages and tumor-infiltrating lymphocytes. We also measured P16INK4a expression and interferon-γ levels in the cervical tissues. The most common HPV type seen in both cohorts of patients was HPV16, followed by HPV18. Increase in PD-L1 and PD-1 expression was positively correlated with HPV-positivity, increase in CIN grade, and tumor metastasis. Furthermore, upregulation of the PD-1/PD-L1 pathway was associated with decreased expression of the pro-inflammatory cytokine, interferon-γ and increased expression of P16INK4a . Expression of PD-L1 and PD-1 could be used as clinical prognostic biomarkers for evaluating CIN and cervical cancer because of its positive correlation with CIN progression and tumor metastasis.

Reduction in the copy number and expression level of the recurrent human papillomavirus integration gene fragile histidine triad (FHIT) predicts the transition of cervical lesions.

Cervical cancer is the second most common cancer and the third leading cause of cancer death in females worldwide, especially in developing countries. High risk human papillomavirus (HR-HPV) infection causes cervical cancer and precancerous cervical intraepithelial neoplasia (CIN). Integration of the HR-HPV genome into the host chromatin is an important step in cervical carcinogenesis. The detection of integrated papillomavirus sequences-PCR (DIPS-PCR) allowed us to explore HPV integration in the human genome and to determine the pattern of this integration. We performed DIPS-PCR for 4 cell lines including 3 cervical cancer cell lines and 40 tissue samples. Overall, 32 HR-HPV integration loci were detected in the clinical samples and the HeLa and SiHa cell lines. Among all the integration loci, we identified three recurrent integration loci: 3p14.2 (3 samples), 13q22.1 (2 samples and a SiHa cell line) and 8q24 (1 sample and a HeLa cell line). To further explore the effect of HR-HPV integration in the 3p14.2 locus, we used fluorescence in situ hybridization (FISH) to determine the copy number of the 3p14.2 locus and immunohistochemistry (IHC) to determine the protein expression levels of the related FHIT gene in the clinical samples. Both the 3p14.2 locus copy number and FHIT protein expression levels showed significant decreases when CIN transitioned to cervical cancer. HPV copy number was also evaluated in these clinical samples, and the copy number of HPV increased significantly between CIN and cervical cancer samples. Finally, we employed receiver operating characteristic curve (ROC curve) analysis to evaluate the potential of all these indexes in distinguishing CIN and cervical cancer, and the HPV copy number, FHIT copy number and FHIT protein expression levels have good diagnostic efficiencies.

Low folate levels are associated with methylation-mediated transcriptional repression of miR-203 and miR-375 during cervical carcinogenesis.

The aim of the present study was to investigate the correlation between a lack of folic acid and the abnormal expression of microRNA (miR)-203 and miR-375 in cervical cancer. In total, 60 tissue samples of cervical intraepithelial neoplasia (CIN) or stage IA-IIA cervical cancer (study group), and 30 samples without soluble interleukin or malignancy (control group) were examined. The expression of miR-203 and miR-375 was detected using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and the difference in expression levels was quantified using the 2-ΔΔCq method. In addition, CaSki cervical cancer cells were cultured in vitro and treated with various concentrations of folic acid. The DNA methylation states of miR-203 and miR-375 were subsequently detected by methylation-specific PCR, and the expression levels were evaluated using RT-PCR. miR-203 and miR-375 were significantly downregulated in CIN and cervical cancer tissues, compared with the control group. There was a marked difference in terms of the expression levels of miR-375 between the two groups (P<0.05). In CaSki cells, as the concentration of folic acid increased, the positive rate of DNA methylation of miR-203 and miR-375 decreased, while the expression levels of miR-203 and miR-375 demonstrated a gradual increase, which indicated that the latter two parameters were negatively correlated (P<0.05). Compared with normal cervical tissue, the expression levels of miR-203 and miR-375 were downregulated in CIN and cervical cancer. Methylation of these two miRs was apparent in CaSki cells, and was associated with a lack of folic acid. Therefore, reduced levels of folic acid, leading to increased methylation of miR-203 and miR-375, may be significant events during cervical carcinogenesis.

Aberrant Expression of the Cell Polarity Regulator aPKCλ/ι is Associated With Disease Progression in Cervical Intraepithelial Neoplasia (CIN): A Possible Marker for Predicting CIN Prognosis.

Atypical protein kinase C λ/ι (aPKCλ/ι) is a regulator of epithelial cellular polarity. It is also overexpressed in several cancers and functions in cell proliferation and invasion. Therefore, we hypothesized that aPKCλ/ι may be involved in development and progression of cervical intraepithelial neoplasia (CIN), the precancerous disease of cervical cancer induced by human papillomavirus. To do this, we investigated the relationship between aPKCλ/ι expression and CIN. aPKCλ/ι expression level and subcellular localization were assessed in 192 CIN biopsy samples and 13 normal epithelial samples using immunohistochemistry. aPKCλ/ι overexpression (normal epithelium, 7.7%; CIN1, 41.7%; CIN2/3, 76.4%) and aPKCλ/ι nuclear localization (normal epithelium, 0.0%; CIN1, 36.9%; CIN2/3, 78.7%) were higher in CIN samples than normal samples (P<0.05), suggesting that CIN grade is related to aPKCλ/ι overexpression and nuclear localization. Then, 140 CIN cases were retrospectively analyzed for 4-yr cumulative disease progression and regression rates using the Cox proportional hazards model. CIN1 cases with aPKCλ/ι overexpression or aPKCλ/ι nuclear localization had a higher progression rate than CIN1 cases with normal aPKCλ/ι expression levels or cytoplasmic localization (62.5% vs. 9.7% and 63.1% vs. 9.4%, respectively; P<0.001). Multivariate analysis indicated that human papillomavirus types 16 and 18, aPKCλ/ι overexpression (hazard ratio=4.26; 95% confidence interval, 1.50-12.1; P=0.007), and aPKCλ/ι nuclear localization (hazard ratio=3.59; 95% confidence interval, 1.24-10.4; P=0.019) were independent risk factors for CIN1 progression. In conclusion, aPKCλ/ι could be useful for the therapeutic management of patients with CIN, particularly those with non-human papillomavirus 16/18 types.