Screening of Significant Biomarkers Related to Prognosis of Cervical Cancer and Functional Study Based on lncRNA-associated ceRNA Regulatory Network

Background: Cervical cancer (CESC), which threatens the health of women, has a very high recurrence rate. Purposes: This study aimed to identify the signature long non-coding RNAs (lncRNAs) associated with the prognosis of CESC and predict the prognostic survival rate with the clinical risk factors. Results: We obtained 305 DERs significantly associated with prognosis. Afterwards, a risk score (RS) prediction model was established using the screened 5 signature lncRNAs associated with independently recurrence prognosis (DLEU1, LINC01119, RBPMS-AS1,RAD21-AS1and LINC00323). Subsequently, a nomogram recurrence rate model, proposed with Pathologic N and RS model status, was found to have good prediction ability for CESC. In ceRNA regulatory network,LINC00323 and DLEU1were hub nodes which targeted more miRNAs and mRNAs. After that, 15 GO terms and 3 KEGG pathways were associated with recurrence prognosis, and showed that the targeted genes PTK2, NRP1, PRKAA1and HMGCS1 may influence the prognosis of CESC. Methods: The CESC gene expression profiling data were downloaded from TCGA database and NCBI Gene Expression Omnibus. Afterwards, the differentially expressed RNAs (DERs) were screened using limma package of R software. R package "survival" was then used to screen the signature lncRNAs associated with independently recurrence prognosis, and a nomogram recurrence rate model based on these signature lncRNAs was constructed to predict the 3-year and 5-year survival probability of CESC. Fianlly, a competing endogenous RNAs (ceRNA) regulatory network was proposed to study the functions of these genes. Conclusion: The signature lncRNAs can help improve our understanding of the development and recurrence of CESC and the nomogram recurrence rate model can be applied to predict the survival rate of CESC patients in clinical practice.

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Assessing survival rate of HPV-positive and HPV-negative cervical cancer patients

Russian Journal of Infection and Immunity ◽

10.15789/2220-7619-2019-3-4-595-599 ◽

2019 ◽

Vol 9 (3-4) ◽

pp. 595-599

Author(s):

M. K. Ibragimova ◽

M. M. Tsyganov ◽

O. N. Churuksaeva ◽

L. A. Kolomiets ◽

N. V. Litviakov

Keyword(s):

Cervical Cancer ◽

Overall Survival ◽

Survival Rate ◽

Cancer Patients ◽

Recurrence Rate ◽

Clinical Score ◽

Disease Stage ◽

High Recurrence Rate ◽

Cervical Canal ◽

Similar Disease

Currently, studies highlighting features of emergence, development, clinical score and prognosis for patients with HPV-negative cervical cancer are scarce. However, the data regarding high recurrence rate and mortality in patients with HPV-negative head and neck cancer are demonstrated. Here, cervical canal and exocervical scraping samples collected from 116 patients with primary cervical cancer, I–IV stages, aged 24 to 79 years, were examined with real-time PCR assay for assessing prevalence of 12 high oncogenic risk human papillomavirus (HPV) strains, genotyping and viral load. It was found that 84 (72.4%) and 32 cervical cancer patients (27.6%) were positive and negative, respectively, for high oncogenic risk (HR) HPV strains. Based on these data, patients were further subdivided into two groups: HPV-positive and HPVnegative patient group. Genotyping HPV-positive samples revealed that HPV genotype 16 was found in 67.8% of cases that agrees with data published worldwide. In addition, relapse-free and overall survival (HPV-positive and HPV-negative patients) rate were also evaluated in both groups. It was demonstrated that survival rate was significantly decreased in HPVnegative cervical cancer patients additionally characterized by less favorable prognosis. Moreover, length of relapse-free survival as well as overall survival for HPV-positive vs. HPV-negative patients was 102 vs. 68 months as well as 52 vs. 83 months, respectively. On the other hand, it was demonstrated that recurrence rate, clinical score and progression of cervical cancer directly depend on cancer spread observed at primary medical examination. Of note, the majority of primary cervical cancer relapses are diagnosed within the first 2 years after completing treatment. In addition, an increasing relapse rate has been documented in cervical cancer patients at advanced stages. Upon that, biological cancer behavior remains poorly predictable even in patients at similar disease stage. Therefore, it is essential that HPV as an important prognostic factor would be taken into account for choosing proper therapeutic strategy for treatment of patients with cervical cancer.

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Photothermal Treatment of Oropharyngeal Cancer with Carbon-Defective Silicon Carbide

Journal of Materials Chemistry B ◽

10.1039/d1tb00876e ◽

2021 ◽

Author(s):

Haibin Mu ◽

Haiyang Pang ◽

Ce Zheng ◽

Kaixin Wang ◽

Narisu Hu ◽

...

Keyword(s):

Silicon Carbide ◽

Survival Rate ◽

Recurrence Rate ◽

Oropharyngeal Cancer ◽

Squamous Carcinoma ◽

High Recurrence Rate ◽

Photothermal Treatment ◽

Oral Squamous Carcinoma

Oral squamous carcinoma (OSCC) is a clinical common tumor with high recurrence rate and low 5-year survival rate. In this work, the photothermal antitumor attempt has been performed to treat...

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Modern molecular and biological aspects of endometriosis-associated infertility

GYNECOLOGY ◽

10.26442/20795696.2019.5.190731 ◽

2019 ◽

Vol 21 (5) ◽

pp. 12-15

Author(s):

Anastasiia S Safronova ◽

Mikhail Yu Vysokikh ◽

Vladimir D Chuprynin ◽

Natalia A Buralkina

Keyword(s):

Signaling Pathways ◽

Recurrence Rate ◽

High Recurrence Rate ◽

Modern Drug ◽

Surgical Methods ◽

Prevention And Treatment ◽

Biological Aspects ◽

Methods Of Treatment ◽

New Strategies

There is currently no consensus on the etiopathogenetic nature of endometriosis. The causes of aggressive, progressive, infiltrative growth of endometrioid tissue also remain unclear. An important problem remains the high recurrence rate of endometriosis, despite the availability of modern drug and surgical methods of treatment. The study of the central signaling pathways and the search for new key molecules is of paramount importance for a better understanding of the pathogenesis of the disease, and is also an important step in the development of new strategies for the diagnosis, prevention and treatment of endometriosis.

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Study on the Relationship between the miRNA-centered ceRNA Regulatory Network and Fatigue

Journal of Molecular Neuroscience ◽

10.1007/s12031-021-01845-3 ◽

2021 ◽

Author(s):

Xingzhe Yang ◽

Feng Li ◽

Jie Ma ◽

Yan Liu ◽

Xuejiao Wang ◽

...

Keyword(s):

Gene Expression ◽

Gene Regulatory Network ◽

Regulatory Network ◽

Hot Spot ◽

Genetic Research ◽

Noncoding Rnas ◽

Messenger Rnas ◽

Effective Prevention ◽

Gene Regulatory ◽

The Relationship

AbstractIn recent years, the incidence of fatigue has been increasing, and the effective prevention and treatment of fatigue has become an urgent problem. As a result, the genetic research of fatigue has become a hot spot. Transcriptome-level regulation is the key link in the gene regulatory network. The transcriptome includes messenger RNAs (mRNAs) and noncoding RNAs (ncRNAs). MRNAs are common research targets in gene expression profiling. Noncoding RNAs, including miRNAs, lncRNAs, circRNAs and so on, have been developed rapidly. Studies have shown that miRNAs are closely related to the occurrence and development of fatigue. MiRNAs can regulate the immune inflammatory reaction in the central nervous system (CNS), regulate the transmission of nerve impulses and gene expression, regulate brain development and brain function, and participate in the occurrence and development of fatigue by regulating mitochondrial function and energy metabolism. LncRNAs can regulate dopaminergic neurons to participate in the occurrence and development of fatigue. This has certain value in the diagnosis of chronic fatigue syndrome (CFS). CircRNAs can participate in the occurrence and development of fatigue by regulating the NF-κB pathway, TNF-α and IL-1β. The ceRNA hypothesis posits that in addition to the function of miRNAs in unidirectional regulation, mRNAs, lncRNAs and circRNAs can regulate gene expression by competitive binding with miRNAs, forming a ceRNA regulatory network with miRNAs. Therefore, we suggest that the miRNA-centered ceRNA regulatory network is closely related to fatigue. At present, there are few studies on fatigue-related ncRNA genes, and most of these limited studies are on miRNAs in ncRNAs. However, there are a few studies on the relationship between lncRNAs, cirRNAs and fatigue. Less research is available on the pathogenesis of fatigue based on the ceRNA regulatory network. Therefore, exploring the complex mechanism of fatigue based on the ceRNA regulatory network is of great significance. In this review, we summarize the relationship between miRNAs, lncRNAs and circRNAs in ncRNAs and fatigue, and focus on exploring the regulatory role of the miRNA-centered ceRNA regulatory network in the occurrence and development of fatigue, in order to gain a comprehensive, in-depth and new understanding of the essence of the fatigue gene regulatory network.

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Retrospective Evaluation of Claw Lesions, Inflammatory Markers, and Outcome After Abomasal Rolling in Cattle with Left Displacement of the Abomasum

Animals ◽

10.3390/ani11061648 ◽

2021 ◽

Vol 11 (6) ◽

pp. 1648

Author(s):

Theresa Tschoner ◽

Yury Zablotski ◽

Melanie Feist

Keyword(s):

Recurrence Rate ◽

Surgical Procedures ◽

Medical Records ◽

Inflammatory Markers ◽

Post Partum ◽

High Recurrence Rate ◽

Retrospective Evaluation ◽

Analgesic Treatment ◽

Temporary Relief ◽

Claw Lesions

Lameness is often diagnosed in cattle with left displacement of the abomasum (LDA). Laterality of lying has an effect on the etiology of LDA, and lame cows prefer to lie on the affected limb. The objective of this study was to investigate the possible association between laterality of claw lesion and presence of LDA. The medical records of 252 cattle presented with a diagnosis of LDA and subjected to a diagnostic examination of claw lesions over a period of 11 years (2009–2019), were analyzed retrospectively. Data were evaluated for presence and localization of claw lesion, concentrations of inflammatory markers, and abomasal rolling as therapy. At least one claw lesion was diagnosed in 46.4% of cattle. There was no association between laterality of claw lesion and LDA. Presence of claw lesion or oral drench and/or analgesic treatment did not have an effect on occurrence of relapse. A high number of cattle was diagnosed with both LDA and claw lesions. Focus should lie on preventing painful claw lesions in the dry and the early post-partum period. The high recurrence rate after abomasal rolling suggests that abomasal rolling should only be considered as a therapy for temporary relief, and surgical procedures should be discussed with farmers.

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Immunogenomic Identification for Predicting the Prognosis of Cervical Cancer Patients

International Journal of Molecular Sciences ◽

10.3390/ijms22052442 ◽

2021 ◽

Vol 22 (5) ◽

pp. 2442

Author(s):

Qun Wang ◽

Aurelia Vattai ◽

Theresa Vilsmaier ◽

Till Kaltofen ◽

Alexander Steger ◽

...

Keyword(s):

Cervical Cancer ◽

Clinical Data ◽

Regulatory Network ◽

Univariate Analysis ◽

Predictive Biomarkers ◽

Enrichment Analysis ◽

The Cancer Genome Atlas ◽

Cancer Prognosis ◽

Functional Enrichment ◽

Wilcoxon Test

Cervical cancer is primarily caused by the infection of high-risk human papillomavirus (hrHPV). Moreover, tumor immune microenvironment plays a significant role in the tumorigenesis of cervical cancer. Therefore, it is necessary to comprehensively identify predictive biomarkers from immunogenomics associated with cervical cancer prognosis. The Cancer Genome Atlas (TCGA) public database has stored abundant sequencing or microarray data, and clinical data, offering a feasible and reliable approach for this study. In the present study, gene profile and clinical data were downloaded from TCGA, and the Immunology Database and Analysis Portal (ImmPort) database. Wilcoxon-test was used to compare the difference in gene expression. Univariate analysis was adopted to identify immune-related genes (IRGs) and transcription factors (TFs) correlated with survival. A prognostic prediction model was established by multivariate cox analysis. The regulatory network was constructed and visualized by correlation analysis and Cytoscape, respectively. Gene functional enrichment analysis was performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). A total of 204 differentially expressed IRGs were identified, and 22 of them were significantly associated with the survival of cervical cancer. These 22 IRGs were actively involved in the JAK-STAT pathway. A prognostic model based on 10 IRGs (APOD, TFRC, GRN, CSK, HDAC1, NFATC4, BMP6, IL17RD, IL3RA, and LEPR) performed moderately and steadily in squamous cell carcinoma (SCC) patients with FIGO stage I, regardless of the age and grade. Taken together, a risk score model consisting of 10 novel genes capable of predicting survival in SCC patients was identified. Moreover, the regulatory network of IRGs associated with survival (SIRGs) and their TFs provided potential molecular targets.

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Transcriptional regulation of gene expression inCorynebacterium glutamicum: the role of global, master and local regulators in the modular and hierarchical gene regulatory network

FEMS Microbiology Reviews ◽

10.1111/j.1574-6976.2010.00228.x ◽

2010 ◽

Vol 34 (5) ◽

pp. 685-737 ◽

Cited By ~ 70

Author(s):

Jasmin Schröder ◽

Andreas Tauch

Keyword(s):

Gene Expression ◽

Transcriptional Regulation ◽

Gene Regulatory Network ◽

Regulatory Network ◽

Regulation Of Gene Expression ◽

Gene Regulatory

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Inference of the Xenopus tropicalis embryonic regulatory network and spatial gene expression patterns

BMC Systems Biology ◽

10.1186/1752-0509-8-3 ◽

2014 ◽

Vol 8 (1) ◽

pp. 3 ◽

Cited By ~ 6

Author(s):

Zhenzhen Zheng ◽

Scott Christley ◽

William T Chiu ◽

Ira L Blitz ◽

Xiaohui Xie ◽

...

Keyword(s):

Gene Expression ◽

Regulatory Network ◽

Expression Patterns ◽

Xenopus Tropicalis ◽

Gene Expression Patterns

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Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

BMC Cancer ◽

10.1186/s12885-021-08412-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Baojie Wu ◽

Shuyi Xi

Keyword(s):

Gene Expression ◽

Cervical Cancer ◽

Differentially Expressed Genes ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Molecular Targets ◽

Enrichment Analysis ◽

Ppi Network ◽

Hub Genes ◽

Kegg Pathways

Abstract Background This study aimed to explore and identify key genes and signaling pathways that contribute to the progression of cervical cancer to improve prognosis. Methods Three gene expression profiles (GSE63514, GSE64217 and GSE138080) were screened and downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) were screened using the GEO2R and Venn diagram tools. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Gene set enrichment analysis (GSEA) was performed to analyze the three gene expression profiles. Moreover, a protein–protein interaction (PPI) network of the DEGs was constructed, and functional enrichment analysis was performed. On this basis, hub genes from critical PPI subnetworks were explored with Cytoscape software. The expression of these genes in tumors was verified, and survival analysis of potential prognostic genes from critical subnetworks was conducted. Functional annotation, multiple gene comparison and dimensionality reduction in candidate genes indicated the clinical significance of potential targets. Results A total of 476 DEGs were screened: 253 upregulated genes and 223 downregulated genes. DEGs were enriched in 22 biological processes, 16 cellular components and 9 molecular functions in precancerous lesions and cervical cancer. DEGs were mainly enriched in 10 KEGG pathways. Through intersection analysis and data mining, 3 key KEGG pathways and related core genes were revealed by GSEA. Moreover, a PPI network of 476 DEGs was constructed, hub genes from 12 critical subnetworks were explored, and a total of 14 potential molecular targets were obtained. Conclusions These findings promote the understanding of the molecular mechanism of and clinically related molecular targets for cervical cancer.

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