Prognostic significance of carboxypeptidase Q and its methylation in glioblastoma

Liu, Qiaodan; Wang, Rong; Li, Zizi; Peng, Yingpeng; Qin, Wei; Peng, Xinsheng; Liu, Zhigang

doi:10.21037/tcr-22-2562

Cited by 2 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scale of the texture is determined by the number of buildings contained in the clusters [60]. Since the urban texture is a collection of architectural elements with a certain scale attribute [67], this study considers clusters with a scale larger than 50 as urban texture patches. To visualize the texture, Tyson polygons (Voronoi diagram) are generated using the center of mass of each building.…”

Section: Urban Texture Identification Methods Based On Percolation Modelmentioning

confidence: 99%

Urban Texture Identification and Characteristic Analysis Based on Percolation Theory—A Case Study of the Second Ring Road Area in Wuhan City

Yang,

Zhan,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

The urban texture is the physical manifestation of the urban form’s evolution. In the rapid process of urbanization, protecting and reshaping the urban texture has become an essential means to sustain the overall form and vitality of cities. Previous studies in this field have primarily relied on image analysis or typological methods, lacking a quantitative approach to identify and analyze the urban texture on a large scale. Moreover, the hierarchical structure and networked organization of the urban texture are gradually being elucidated and emphasized. This study takes a complex network perspective and applies percolation theory to identify and analyze the urban texture. The hierarchical evolutionary characteristics of the urban fabric and the underlying mechanisms driving the scale-dependent differences are analyzed, and the toughness of the urban texture is evaluated based on hierarchical connections. The research findings reveal the key scale in the cross-scale evolution of urban textures, with variations in scale dependence and hierarchical evolution characteristics among different types of urban texture. The traditional urban texture displays sensitivity to scale changes, maintaining its integrity and internal connectivity at small scales. On the other hand, the texture characteristics of modern and contemporary urban areas are only discernible at larger scales. The emergence of large-scale texture clusters at specific scale levels can be explained using multiple index systems. This study has reference significance for the preservation and renewal of the urban fabric in urban renewal processes.

show abstract

Section: Urban Texture Identification Methods Based On Percolation Modelmentioning

confidence: 99%

Urban Texture Identification and Characteristic Analysis Based on Percolation Theory—A Case Study of the Second Ring Road Area in Wuhan City

Yang,

Zhan,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

show abstract

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

Azimi,

Yazdanian,

Ahmadiani

2024

BMC Cancer

View full text Add to dashboard Cite

Background Glioblastoma multiforme (GBM) is a type of fast-growing brain glioma associated with a very poor prognosis. This study aims to identify key genes whose expression is associated with the overall survival (OS) in patients with GBM. Methods A systematic review was performed using PubMed, Scopus, Cochrane, and Web of Science up to Journey 2024. Two researchers independently extracted the data and assessed the study quality according to the New Castle Ottawa scale (NOS). The genes whose expression was found to be associated with survival were identified and considered in a subsequent bioinformatic study. The products of these genes were also analyzed considering protein-protein interaction (PPI) relationship analysis using STRING. Additionally, the most important genes associated with GBM patients’ survival were also identified using the Cytoscape 3.9.0 software. For final validation, GEPIA and CGGA (mRNAseq_325 and mRNAseq_693) databases were used to conduct OS analyses. Gene set enrichment analysis was performed with GO Biological Process 2023. Results From an initial search of 4104 articles, 255 studies were included from 24 countries. Studies described 613 unique genes whose mRNAs were significantly associated with OS in GBM patients, of which 107 were described in 2 or more studies. Based on the NOS, 131 studies were of high quality, while 124 were considered as low-quality studies. According to the PPI network, 31 key target genes were identified. Pathway analysis revealed five hub genes (IL6, NOTCH1, TGFB1, EGFR, and KDR). However, in the validation study, only, the FN1 gene was significant in three cohorts. Conclusion We successfully identified the most important 31 genes whose products may be considered as potential prognosis biomarkers as well as candidate target genes for innovative therapy of GBM tumors.

show abstract

Prognostic significance of carboxypeptidase Q and its methylation in glioblastoma

Cited by 2 publications

References 37 publications

Urban Texture Identification and Characteristic Analysis Based on Percolation Theory—A Case Study of the Second Ring Road Area in Wuhan City

Urban Texture Identification and Characteristic Analysis Based on Percolation Theory—A Case Study of the Second Ring Road Area in Wuhan City

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

Contact Info

Product

Resources

About