Genes In Cervical Cancer Research Articles

Low GAS5 expression may predict poor survival and cisplatin resistance in cervical cancer

Cisplatin resistance is a major challenge in cervical cancer (CC) chemotherapy. Growth arrest‐specific 5 (GAS5) has been reported to be a tumour suppressor gene in CC. However, the mechanism of GAS5 in chemoresistance remains undetermined. Our research evaluated GAS5 expression in normal and CC tissues by qPCR and in situ hybridization (ISH). Statistical analysis was conducted to analyse the association of GAS5 expression with survival. Biochemical methods were used to screen upstream and downstream regulators of GAS5. Then, interactions were confirmed by ChIP, RNA pull-down, RNA immunoprecipitation (RIP), dual-luciferase reporter and real-time PCR assays. The cisplatin sensitivity of GAS5-overexpressing CC cells was demonstrated in vitro and in vivo. The results showed that low GAS5 expression was correlated with poor overall survival. Mechanistically, GAS5 was transcriptionally modulated by P-STAT3 and served as a competing endogenous RNA (ceRNA) of miR-21 to indirectly affect cisplatin sensitivity through PDCD4 regulation in CC cells. Animal studies confirmed that GAS5 enhanced cisplatin sensitivity and promoted PDCD4 expression in vivo. GAS5 was regulated by P-STAT3 and affected the sensitivity of CC to cisplatin-based chemotherapy through the miR-21/PDCD4 axis. This result may provide new insight into cisplatin-based therapy.

DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer

BackgroundThe pathogenesis and developmental mechanism of early-stage (FIGO 2009 IA2-IIA2) cervical cancer (CC) remain unclear. Seeking novel molecular biomarkers based on The Cancer Genome Atlas (TCGA) will facilitate the understanding of CC pathogenesis and help evaluate early-stage CC prognosis.MethodsTo identify prognosis-related genes in early-stage CC, we analyzed TCGA mRNA-seq data and clinical data by univariate Cox and Kaplan–Meier plotter analyses. Differential expression analysis identified upregulated genes in early-stage CC. Combined with the genes correlated with unfavorable prognosis, we selected desmoglein-2 (DSG2) for further investigation. To detect DSG2 expression in early-stage CC, we used immunohistochemistry (IHC), quantitative real-time PCR (qRT-PCR) and western blotting. The relationship between the expression of DSG2 and clinical features was analyzed by the Chi square test. Cox analysis was applied to assess the relationship between CC overall survival (OS) and risk factors. The correlations between DSG2 expression and CC cell line proliferation and migration were investigated with Cell Counting Kit-8 (CCK-8) and migration assays.ResultsThere were 416 prognosis-related genes in early-stage CC. DSG2, matrix metallopeptidase 1 (MMP1), carbonic anhydrase IX (CA9), homeobox A1 (HOXA1), and serine protease inhibitor B3 (SERPINB3) were upregulated in early-stage CC compared with adjacent noncancerous tissue (ANT) and correlated with unfavorable prognosis. Among them, DSG2 was most significantly correlated with patient survival. Coexpression analysis indicated that DSG2 was probably involved in cell division, positive regulation of transferase activity, positive regulation of cell migration, EGFR upregulation pathway and regulation of lymphangiogenesis. IHC, qRT-PCR and western blotting showed that DSG2 expression was higher in CC than in normal tissue. Significant correlations were identified between DSG2 expression and several aggressive clinical features, including pelvic lymph node metastasis (PLNM). Multivariate Cox analysis showed that DSG2 and PLNM were independent prognostic factors for OS. DSG2 knockdown inhibited CC cell proliferation and migration.ConclusionsDSG2 is a biomarker that promotes tumor proliferation and metastasis and is correlated with poor prognosis in early-stage CC.

Identification and characterization of tumorigenic circular RNAs in cervical cancer

Circular RNAs (circRNAs) are a distinctive family of ncRNAs, and they function as key regulators in the initiation, development and progression of various diseases. However, the regulatory roles of circRNAs in the tumorigenesis of cervical cancer (CC) have not been fully understood. In this study, we identified a set of circRNAs in CC and paired normal tissues, using RNA sequencing data, and found that the cancer and normal tissues could be told apart by those differentially expressed (DE) circRNAs, indicating that circRNA expression profiles in CC were significantly different from those in the normal tissues. Meanwhile, the upregulated genes in CC were enriched in inflammation-related pathways, and the correlation analysis between the DE circRNAs and genes revealed that the abundance of DE circRNAs was positively related to the expression of their host genes. However, the expression of TGFBR2 and KDM4C were found to exhibit a negative correlation with their corresponding circRNAs. Furthermore, we also predicted the interactions between circRNAs and proteins, and constructed a competing endogenous RNA (ceRNA) network. Specifically, hsa_circ_0001495 was predicted to interact with ESRP2, and acted as a sponge by competing for miRNAs with TBL1XR1. Functionally, hsa_circ_0001495 was predicted to regulate epithelial cell proliferation and NOTCH signaling via ESRP2 and TBL1XR1, respectively. We also evaluated the prognostic values of downstream target genes of selected circRNAs, using clinical records of CC patients. In summary, the present study provided some regulatory circRNAs involved in CC tumorigenesis based on bioinformatics approaches, which brought strong evidences for researchers to further explore their biological and clinical values.

Cervical Cancer Cells-Secreted Exosomal microRNA-221-3p Promotes Invasion, Migration and Angiogenesis of Microvascular Endothelial Cells in Cervical Cancer by Down-Regulating MAPK10 Expression.

PurposeCervical cancer (CC) is recognized as a common cancer with a high risk worldwide. Exosomal microRNAs (miRNAs) have received attention for their increasing potentials in CC therapy. In this study, we identify the involvement of miR-221-3p in CC progression by affecting angiogenesis of microvascular endothelial cells (MVECs).MethodsMicroarray-based gene expression profiling was conducted to retrieve the differentially expressed genes in CC. The expression patterns of miR-221-3p were measured by RT-qPCR, while Western blot analysis and RT-qPCR were performed to determine the expression of MAPK10 in the CC tissues and cells, followed by verification of the interaction between miR-221-3p and MAPK10 using dual luciferase reporter gene assay. Then the effects of miR-221-3p and MAPK10 on cell activities were assessed through gain- and loss-of-function experiments in CC. Subsequently, the impact of exosomal miR-221-3p on MVEC proliferation, migration, invasion and angiogenesis was examined after exosomal isolation from CC cells and co-cultured with MVECs.ResultsGene expression profile showed that MAPK10 might participate in CC with a low expression. Moreover, miR-221-3p was highly expressed and MAPK10 was poorly expressed in CC tissues and cells. It was observed that miR-221-3p targeted MAPK10. Depletion of miR-221-3p blocked the cell proliferation, invasion and migration in CC by up-regulating MAPK10. Moreover, CC cells-derived exosomes carrying miR-221-3p accelerated MVEC proliferation, invasion, migration and angiogenesis in CC by regulating MAPK10.ConclusionCC cells-derived exosomes harboring miR-221-3p enhanced MVEC angiogenesis in CC by decreasing MAPK10.

Dysregulation of miR-375/AEG-1 Axis by Human Papillomavirus 16/18-E6/E7 Promotes Cellular Proliferation, Migration, and Invasion in Cervical Cancer.

Cervical Cancer (CC) is a highly aggressive tumor and is one of the leading causes of cancer-related deaths in women. miR-375 was shown to be significantly down-regulated in cervical cancer cells. However, the precise biological functions of miR-375 and the molecular mechanisms underlying its action in CC are largely unknown. miR-375 targets were predicted by bioinformatics target prediction tools and validated using luciferase reporter assay. Herein, we investigated the functional significance of miR-375 and its target gene in CC to identify potential new therapeutic targets. We found that miR-375 expression was significantly downregulated in CC, and astrocyte elevated gene-1 (AEG-1) was identified as a target of miR-375. Our results also showed that ectopic expression of miR-375 suppressed CC cell proliferation, migration, invasion and angiogenesis, and increased the 5-fluorouracil-induced apoptosis and cell cycle arrest in vitro. In contrast, inhibition of miR-375 expression significantly enhanced these functions. Furthermore, HPV - 16 E6/E7 and HPV - 18 E6/E7 significantly down-regulates miR-375 expression in CC. HPV 16/18-E6/E7/miR-375/AEG-1 axis plays an important role in the regulation of cell proliferation, migration, and invasion in CC. Therefore, targeting miR-375/AEG-1 mediated axis could serve as a potential therapeutic target for CC.

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...

Polymorphism Located in the Upstream Region of the RPS19 Gene (rs2305809) Is Associated With Cervical Cancer: A Case-control Study.

Cervical cancer (CC) is caused by persistent human papillomavirus (HPV) infection and affects women worldwide. The progression of an HPV persistent infection to CC is influenced by genetic factors. Three single nucleotide polymorphisms (SNPs) in TP53, NQO1 and RPS19 genes (rs1042522, rs1800566, rs2305809, respectively) were previously associated with CC in European and North American populations. The present case-control study aimed to investigate the association of the SNPs rs1042522, rs1800566, and rs2305809 with CC in an admixed population in southern Brazil. A total of 435 women (106 CC patients and 329 controls) were recruited for this study. All women were interviewed and underwent clinical sampling. SNPs rs1042522 and rs1800566 were evaluated by PCR-RFLP. SNP rs2305809 was determined by real-time PCR. The crude and adjusted ORs with 95% CI were estimated. The recessive genetic model (C/C + C/T) for rs2305809 was more frequent in the control group (79.9%) compared to the cases (69.8%), being associated with CC protection (adjustedOR = 0.49; 95% CI: 0.27–0.90). However, the other polymorphisms evaluated did not present significant differences between cases and controls. This study detected a protective association for the recessive genetic model in rs2305809. These results suggest a potential role of the RPS19 gene in CC.

Identification of key candidate genes and small molecule drugs in cervical cancer by bioinformatics strategy.

PurposeCervical cancer (CC) is one of the most common malignant tumors among women. The present study aimed at integrating two expression profile datasets to identify critical genes and potential drugs in CC.Materials and methodsExpression profiles, GSE7803 and GSE9750, were integrated using bioinformatics methods, including differentially expressed genes analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and protein–protein interaction (PPI) network construction. Subsequently, survival analysis was performed among the key genes using Gene Expression Profiling Interactive Analysis websites. Connectivity Map (CMap) was used to query potential drugs for CC.ResultsA total of 145 upregulated genes and 135 downregulated genes in CC were identified. The functional changes of these differentially expressed genes related to CC were mainly associated with cell cycle, DNA replication, p53 signaling pathway, and oocyte meiosis. A PPI network was identified by STRING with 220 nodes and 2,111 edges. Thirteen key genes were identified as the intersecting genes of the enrichment pathways and the top 20 nodes in PPI network. Survival analysis revealed that high mRNA expression of MCM2, PCNA, and RFC4 was significantly associated with longer overall survival, and the survival was significantly better in the low-expression RRM2 group. Moreover, CMap predicted nine small molecules as possible adjuvant drugs to treat CC.ConclusionOur study found key dysregulated genes involved in CC and potential drugs to combat it, which might provide insights into CC pathogenesis and might shed light on potential CC treatments.

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.

MicroRNA expression in cervical cancer: Novel diagnostic and prognostic biomarkers.

Growing evidence has shown that a large number of miRNAs are abnormally expressed in cervical cancer (CC) tissues and play irreplaceable roles in tumorigenesis, progression, and metastasis. This study aimed to identify new biomarkers and pivotal genes associated with CC prognosis through comprehensive bioinformatics analysis. At first, the data of gene expression microarray (GSE30656) was downloaded from GEO database and differential miRNAs were obtained. Additionally, 4 miRNAs associated with the survival time of patients with CC were screened through TCGA differential data analysis, Kaplan-Meier, and Landmark analysis. Among them, the low expression of miR-188 and high expression of miR-223 correlated with the short survival of CC patients, while the down-regulation of miR-99a and miR-125b was closely related to the 5-year survival rate of patients. Then, based on the correspondence between the differentially expressed genes (DEGs) in CC from the TCGA data and the 4 miRNAs target genes, 58 target genes were screened to perform the analysis of function enrichment and the visualization of protein-protein interaction (PPI) networks. The seven pivotal genes of the PPI network as the target genes of four miRNAs related to prognosis, they were directly or indirectly involved in the development of CC. In this study, based on high-throughput data mining, differentially expressed miRNAs and related target genes were analyzed to provide an effective bioinformatics basis for further understanding of the pathogenesis and prognosis of CC. And the results may be a promising biomarker for the early screening of high-risk populations and early diagnosis of cervical cancer.

Polymorphism in exon 4 of TP53 gene associated to HPV 16 and 18 in Mexican women with cervical cancer

Cervical cancer (CC) is the second most common cancer in Mexican women. Human papillomavirus (HPV) infection is necessary but not sufficient for CC development. Furthermore, genetic factors as polymorphisms could be important susceptibility factors. Controversial results regarding TP53 polymorphisms specifically in codon 72 of CC have been reported. In the present work, the exon 4 sequence of TP53 gene in CC and healthy Mexican-mestizo women were analyzed. A group of 111 women with CC and 126 healthy women (control) were included. Peripheral blood cells for polymorphism analysis and cervical scrape for HPV detection were used. PCR of exon 4 of TP53 were subjected to denaturing high-performance liquid chromatography (DHPLC) analysis and sequencing. HPV detection was subjected to PCR and sequencing. The statistical analysis was carried out using the Arlequin software. Codon 72 Arg/Arg was the most common SNP detected, and Hardy-Weinberg analysis showed equilibrium in control and CC samples (P>0.05). Wild type sequence of TP53 exon 4 was detected in 66 and 57% in control and CC samples, respectively. For codon 72 Arg/Arg, differences between control and CC women were found (P=0.043). An association between HPV 16/18 infection and 72 Arg/Arg in woman with CC was found (P=0.026). Haplotype GC (codon 36 and 72) was statistically significantly associated with CC (P=0.011). HPV 16 was the most common viral type. Codon 72 Arg/Arg is the most common polymorphism in the Mexican population and could be associated to HPV 16 and/or HPV 18 infection in CC.