Network-based gene deletion analysis identifies candidate genes and molecular mechanism involved in clear cell renal cell carcinoma

2021 ◽  
Vol 100 (1) ◽  
Author(s):  
G. K. Udayaraja ◽  
I. Arnold Emerson
Author(s):  
Xuyang Zhao ◽  
Yadong Ma ◽  
Jie Cui ◽  
Haiyang Zhao ◽  
Lei Liu ◽  
...  

AbstractClear cell renal cell carcinoma (ccRCC), as the most important type of renal carcinoma, has a high incidence and easy metastasis. Folliculin (FLCN) was identified as a tumor suppressor gene. Its deletions and mutations are associated with a potential risk of kidney cancer. At present, the specific molecular mechanism of FLCN-induced proliferation, invasion and migration in clear cell renal cell carcinoma remains elusive.In this study, we demonstrated that FLCN controled cell proliferation, invasion and migration through PI3K/mTORC2 pathway. FLCN combined with HIF2α in various normal and cancerous renal cells, and mTORC2 mediate FLCN effectively alleviated the deterioration of renal cancer cells by degrading HIF2α. Silencing of FLCN showed promotion of HIF2α protein expression, which in turn led to an increase in downstream target genes Cyclin D1 and MMP9. Moreover, when interfering with siFLCN, HIF2α degradation rate was delayed, and the time of entry into the nucleus was advanced. Taken together, our study illustrated that mTORC2 promoted the specific molecular mechanism of HIF2α by down-regulated FLCN, and might be a new therapeutic target against renal cancer progression.


2007 ◽  
Vol 177 (4S) ◽  
pp. 214-214
Author(s):  
Sung Kyu Hong ◽  
Byung Kyu Han ◽  
In Ho Chang ◽  
June Hyun Han ◽  
Ji Hyung Yu ◽  
...  

2019 ◽  
Vol 22 (6) ◽  
pp. 13-22
Author(s):  
E. V. Kryaneva ◽  
N. A. Rubtsova ◽  
A. V. Levshakova ◽  
A. I. Khalimon ◽  
A. V. Leontyev ◽  
...  

This article presents a clinical case demonsratinga high metastatic potential of clear cell renal cell carcinoma combined with atypical metastases to breast and paranasal sinuses. The prevalence of metastatic lesions to the breast and paranasal sinuses in various malignant tumors depending on their morphological forms is analyzed. The authors present an analysis of data published for the last 30 years. The optimal diagnostic algorithms to detect the progression of renal cell carcinoma and to evaluate the effectiveness of the treatment are considered.


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