Spindle pole body component 24 homolog potentiates tumor progression via regulation of SRY‐box transcription factor 2 in clear cell renal cell carcinoma

2022 ◽  
Vol 36 (2) ◽  
Author(s):  
Chengfang Sun ◽  
Jingchao Wei ◽  
Zhilin Long ◽  
Weixi Zhao ◽  
Qi Huangfu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Transcription Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Spindle Pole Body ◽  
Spindle Pole ◽  
Cell Renal Cell Carcinoma ◽  
Pole Body ◽  
Body Component

scholarly journals Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data

2019 ◽  
Author(s):  
Yanyan Zhu ◽  
Shundong Cang ◽  
Bowang Chen ◽  
Yue Gu ◽  
Miaomiao Jiang ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Transcription Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Patient Stratification ◽  
Transcription Factor Activity ◽  
Factor Activity ◽  
Cell Renal Cell Carcinoma ◽  
Novel Approach

AbstractClear cell renal cell carcinoma represents the most common type of kidney cancer. Precision medicine approach to ccRCC requires an accurate stratification of patients that can predict prognosis and guide therapeutic decision. Transcription factors are implicated in the initiation and progression of human carcinogenesis. However, no comprehensive analysis of transcription factor activity has been proposed so far to realize patient stratification. Here we propose a novel approach to determine the subtypes of ccRCC patients based on global transcription factor activity landscape. Using the TCGA cohort dataset, we identified different subtypes that have distinct upregulated biomarkers and altered biological pathways. More important, this subtype information can be used to predict the overall survival of ccRCC patients. Our results suggest that transcription factor activity can be harnessed to perform patient stratification.

scholarly journals Patient Stratification of Clear Cell Renal Cell Carcinoma Using the Global Transcription Factor Activity Landscape Derived From RNA-Seq Data

2020 ◽  
Vol 10 ◽  
Author(s):  
Yanyan Zhu ◽  
Shundong Cang ◽  
Bowang Chen ◽  
Yue Gu ◽  
Miaomiao Jiang ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Transcription Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Patient Stratification ◽  
Transcription Factor Activity ◽  
Factor Activity ◽  
Cell Renal Cell Carcinoma ◽  
Novel Approach

Clear cell renal cell carcinoma represents the most common type of kidney cancer. Precision medicine approach to ccRCC requires an accurate stratification of patients that can predict prognosis and guide therapeutic decision. Transcription factors are implicated in the initiation and progression of human carcinogenesis. However, no comprehensive analysis of transcription factor activity has been proposed so far to realize patient stratification. Here we propose a novel approach to determine the subtypes of ccRCC patients based on global transcription factor activity landscape. Using the TCGA cohort dataset, we identified different subtypes that have distinct up-regulated biomarkers and altered biological pathways. More important, this subtype information can be used to predict the overall survival of ccRCC patients. Our results suggest that transcription factor activity can be harnessed to perform patient stratification.

Transcription Factor SAP30 Is Involved in the Activation of NETO2 Gene Expression in Clear Cell Renal Cell Carcinoma

2018 ◽  
Vol 52 (3) ◽  
pp. 385-392 ◽  
Author(s):  
A. V. Snezhkina ◽  
K. M. Nyushko ◽  
A. R. Zaretsky ◽  
D. A. Shagin ◽  
A. F. Sadritdinova ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Transcription Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma
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