Tissue biomarkers as prognostic variables of cervical cancer

Gadducci, Angiolo; Guerrieri, Maria Elena; Greco, Carlo

doi:10.1016/j.critrevonc.2012.09.003

Cited by 78 publications

(55 citation statements)

References 159 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Increasing evidence indicates that the dysregulation of miRNAs has been frequently observed in the carcinogenesis of cervical cancer, including metastasis and the drug resistance of tumor cells. Several miRNAs, including miR-9, miR-127, miR-145, miR-146a, miR-199a, miR-200a and miR-424, have been observed to be dysregulated in cervical carcinoma (36). In the present study, 11 downregulated miRNAs and 4 upregulated miRNAs in cervical cancer were identified, as demonstrated in Table IV.…”

Section: Discussionmentioning

confidence: 70%

Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis

Zhou

Shi

et al. 2017

Oncology Letters

View full text Add to dashboard Cite

Abstract. Cervical cancer is one of the most common types of cancer among women worldwide. In order to identify the microRNAs (miRNAs/miRs) and mRNAs associated with the carcinogenesis of cervical cancer, and to investigate the molecular mechanisms of cervical cancer, an miRNA microarray, GSE30656, and 3 mRNA microarrays, GSE63514, GSE39001 and GSE9750, for cervical cancer were retrieved from Gene Expression Omnibus. These datasets were analyzed in order to obtain differentially-expressed genes (DEGs) and miRNAs using the GEO2R tool. Gene Ontology (GO) and pathway enrichment analysis for DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery. Protein-protein interaction (PPI) analysis for DEGs was conducted using The Search Tool for the Retrieval of Interacting Genes software and visualized using Cytoscape, followed by hub gene identification, and biological process and pathway enrichment analysis of the module selected from the PPI network using the Molecular Complex Detection plugin. In addition, miRecords was applied to predict the targets of differentially-expressed miRNAs. A total of 44 DEGs and 15 differentially-expressed miRNAs were identified. These DEGs were mainly enriched in GO terms associated with the cell cycle. In the PPI network, cyclin-dependent kinase 1, topoisomerase DNA IIα, aurora kinase A (AURKA) and minichromosome maintenance complex component 2 (MCM2) had higher degrees of connectivity. A significant module was detected from the PPI network. AURKA, MCM2 and kinesin family member 20A exhibited higher degrees in this module, while the genes in the module were mainly involved in the cell cycle and the DNA replication pathway. In addition, estrogen receptor 1 was predicted as the potential target of 13 miRNAs. A total of 10 DEGs were identified as potential targets of miR-203. In conclusion, the results indicated that microarray dataset analysis may provide a useful method for the identification of key genes and patterns to successfully identify determinants of the carcinogenesis of cervical cancer. The functional studies of candidate genes and miRNAs from these databases may lead to an increased understanding of the development of cervical cancer.

show abstract

Section: Discussionmentioning

confidence: 70%

Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis

Zhou

Shi

et al. 2017

Oncology Letters

View full text Add to dashboard Cite

show abstract

“…Our analysis may not represent in entirety the population scenario of the whole district of Kamrup, however, the composition of our study cohort reflects the socio-demographic characteristics of patients from the district of Kamrup. There are various known clinico-pathological parameters at the patient level, like stage at diagnosis, tumour histology, grades, and treatment received including biomarkers (Gadducci et al, 2013) for predicting the survival of patients with uterine cervix cancers, and more recently introduction of ontogenetic tumour staging for treatment and improving patient survival (Hockel et al, 2014). However, in the population, demographic parameter like socio-economic inequalities is well established to see the differences of survival between different groups within a population of a region or country.…”

Section: Discussionmentioning

confidence: 99%

Association of Educational Levels with Survival in Indian Patients with Cancer of the Uterine Cervix

Krishnatreya¹,

Kataki²,

Sharma³

et al. 2015

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

The main objective of this paper was to assess the influence of educational level on the survival of uterine cervix cancer patients in our population. A total of 224 patients were registered in our registry, of which 178 had information on stage and different educational levels. The overall median survival (MS) was 23 months, with values of 18.5, 20.7 and 41.3 months for the illiterate, literate and qualified groups, respectively. In the illiterate patients, stage I was seen in 2.6% and stage IV in 11.8%, while in other 2 groups stage I was seen in 10% to 17% of patients at the time of diagnosis. The survival probability at around 50 months was around 42%, 30% and 26% (approximately) for qualified, literates and illiterates respectively [Log Rank (Mantel-Cox) showed p=0.023]. Emphasis on imparting education to females can be a part of comprehensive cancer control programme for improving the overall survival in patients with carcinoma of the uterine cervix in our population.Keywords: Cancer cervix -educational levels -survival -Kamrup, India RESEARCH ARTICLE Association of Educational Levels with Survival in Indian Patients with Cancer of the Uterine CervixManigreeva Krishnatreya 1 *, Amal Chandra Kataki 1 , Jagannath Dev Sharma 2 , Pintu Nandy 1 , Gayatri Gogoi 1 tried to see the influence of educational level and stage at diagnosis in the survival of patients with uterine cervix cancer in our population.

show abstract

“…Ряд исследова-телей сообщает о вовлеченности СOX-2 в цервикальный канцерогенез и свидетельствуют об ассоциации этого мар-кера с распространенными стадиями заболевания, плохим прогнозом и рецидивами [10,17]. В других работах значи-мость COX-2 как фактора прогноза отрицается [18]. Одни авторы обнаруживают корреляционную связь между экс-прессией COX-2 и ВПЧ, утверждая, что онкобелки Е6 и Е7 увеличивают транскрипцию COX-2 через EGFR-сигналь-ный путь, другие ученые указывают на отсутствие связи экспрессии COX-2 с наличием ВПЧ-инфекции [12,19].…”

unclassified

Оптимизация Современных Подходов В Лечении Гинекологического Рака Основных Локализаций

et al. 2017

View full text Add to dashboard Cite

Tissue biomarkers as prognostic variables of cervical cancer

Cited by 78 publications

References 159 publications

Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis

Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis

Association of Educational Levels with Survival in Indian Patients with Cancer of the Uterine Cervix

Оптимизация Современных Подходов В Лечении Гинекологического Рака Основных Локализаций

Contact Info

Product

Resources

About