جستجوی مقالات مرتبط با کلیدواژه "ویروس پاپیلوم انسانی" در نشریات گروه "پزشکی"

Co-word analysis is used to identify the intellectual structure governing the research field and uncover the research aspects. The main purpose of this study is to visualize the human papillomavirus (HPV) conceptual network.

The 17278 keywords extracted from the 13249 articles on the HPV indexed in the Web of Science (WoS) database from 2014-2018 constituted the study samples. The Medical Subject Headings (MeSH) was used to identify the keywords to determine the search strategy.

126 repeated keywords with high frequency were identified, the most frequent of which was cervical cancer. Hierarchical clustering of findings led the researchers to 14 subject clusters, the biggest of which being HPV symptoms and disease with 30 keywords. In order to gain a more comprehensive insight into the structure of the studied subjects, the twodimensional mapping method was used. The two most common co-word keywords were selected from each cluster.

As suitable tool for identifying the most relevant subjects and concepts, co-word occurrence analysis could discover the intellectual structure of the HPV research field. Regarding the frequency of clu

Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships and thematic trends in the world.

The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of the retrieved and analyzed keywords in this study were 13249. Some software like SPSS, UCINET and VOSViewer were used for data integration and analysis.

The findings showed that the keyword “CERVICAL CANCER” have had the highest frequency and with “CERVICAL INTRAEPITHELIAL NEOPLASIA” and they were co-word couples. The results of the strategic diagram showed that the most clusters in HPV placed in third area of strategic diagram, it means these subjects (clusters) were emerging or declining.

Co-word analysis is suitable method for discover and visualize different sciences and their prominent patterns, hidden relationships and thematic trends research’ subject areas. The results of these analysis and findings of such researches will help research policy makers

Human Papilloma Virus plays an important role in some of human malignancies and causes alterations in normal expression levels of cellular microRNAs. In this paper, we evaluated the effects of such changes on Head and Neck Squamous Cell Carcinoma tumor samples at gene expression profile level.
in this descriptive-analytical study, gene expression profiles of 36 tumor samples were compared in two groups: with or without virus. Differentially expressed genes among the two groups were judged in terms of their ability in segregating the tumor samples and also their overlap with Gene Ontology Biological Function categories. Furthermore, using hierarchical clustering analysis and Gene Set Enrichment Analysis methods, the effect of confirmed cellular targets of 11 reported cellular microRNAs on the gene expression profiles of our samples was assessed.
Unlike unsupervised methods, differentially expressed genes, including 47 and 7 unique induced and suppressed genes, respectively, discriminated perfectly the two sample sets in a hierarchical clustering analysis (P=0.0001). These genes were primarily engaged in regulation of cell cycle (FDR adjusted P≤0.05). Targets of induced cellular microRNAs were found enriched in virus-positive set (FDR adjusted P≤0.05). Among analyzed cellular miRNAs, hsa-miR-155-5p and hsa-miR-221-3p change the gene expression profile of tumor samples significantly (FDR adjusted P≤0.05).
deregulating expression levels of cellular microRNAs, HPV is capable of affecting the gene expression profiles of Head and Neck Squamous cell Carcinoma tumors. It is suggested to confirm the results of this study using experimental methods.

Cervical cancer is the second most common cancer of women and one of the most important factors in theirmortality. The role of human Papillomavirus (Hpv) in cervical carcinogenesis has been confirmed, but the high risk subtypes are different in different areas. The purpose of this study was to determine high-risk sub-types of HIV in Isfahan. This study was a case-control, retrospective and analytical study. We collected the data from 12 paraffin blocks of normal cervical tissue and 36 paraffin blocks of cervical tissue of women with pre-malignant and malignant lesions (SCC). After DNA extraction from paraffin blocks existence of HPV, DNA was investigated by Polymerase Chain Reaction (PCR) with the primer HPV General. HPV positive cases were tested with Real-Time PCR to determine the virus subtype. The prevalence of HPV in patient samples was higher than control cases. 50 percent of patients had HPV type 16. The frequency of HPV type 59 HPV types in SCC cases was significantly greater than others. There was not a significant correlation between other sub-types and cervical tissue lesion. This study showed that HPV was present in all samples with cervical lesions. Although the high frequency of HPV type 16 in cervical samples, due to low sample size of this study further studies with larger sample size is needed.