scholarly journals Long non-coding RNA Lucat1 is a poor prognostic factor and demonstrates malignant biological behavior in clear cell renal cell carcinoma

Oncotarget ◽  
2017 ◽  
Vol 8 (69) ◽  
pp. 113622-113634 ◽  
Author(s):  
Haibing Xiao ◽  
Lin Bao ◽  
Wen Xiao ◽  
Hailong Ruan ◽  
Zhengshuai Song ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Biological Behavior ◽  
Cell Renal Cell Carcinoma ◽  
Poor Prognostic Factor ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Abstract 3559: Long non-coding RNA subtype classification of clear-cell renal cell carcinoma

2014 ◽  
Author(s):  
Gabriel G. Malouf ◽  
Jianping Zhang ◽  
Nizar Tannir ◽  
Erika J. Thompson ◽  
David Khayat ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma ◽  
Subtype Classification ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Genome Instability-related Long Non-coding RNA in Clear Renal Cell Carcinoma Determined using Computational Biology

2021 ◽  
Author(s):  
Yutao Wang ◽  
Kexin Yan ◽  
Jianbin Bi
Keyword(s):  
Renal Cell Carcinoma ◽  
Computational Biology ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Genome Stability ◽  
Clear Cell ◽  
Genome Instability ◽  
Cell Renal Cell Carcinoma ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Abstract There is evidence that long non-coding RNA (lncRNA) is related to genetic stability. However, the complex biological functions of these lncRNAs are unclear. In the present study, we applied computational biology to identify genome-related long noncoding RNA and identified 26 novel genomic instability-associated lncRNAs in clear cell renal cell carcinoma. We identified a genome instability-derived six lncRNA-based gene signature that significantly divided clear renal cell samples into high-and low-risk groups. We validated it in test cohorts. Based on the above analysis, we identified six lncRNAs related to clear cell carcinoma outcomes and genome stability based on computational biology. To further elucidate the role of the six lncRNAs in the model's genome stability, we performed a gene set variation analysis (GSVA) on the matrix. We performed Pearson correlation analysis between the GSVA scores of genomic stability-related pathways and lncRNA. It was determined that LINC00460 and LINC01234 could be used as critical factors in this study. They may influence the genome stability of clear cell carcinoma by participating in mediating critical targets in the base excision repair pathway, the DNA replication pathway, homologous recombination, mismatch repair pathway, and the P53 signaling pathway. These data suggest that LINC00460 and LINC01234 are crucial for the stability of the clear cell renal cell carcinoma genome.

scholarly journals Characterization of long non-coding RNA transcriptome in clear-cell renal cell carcinoma by next-generation deep sequencing

2014 ◽  
Vol 9 (1) ◽  
pp. 32-43 ◽  
Author(s):  
Gabriel G. Malouf ◽  
Jianping Zhang ◽  
Ying Yuan ◽  
Eva Compérat ◽  
Morgan Rouprêt ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Deep Sequencing ◽  
Renal Cell ◽  
Clear Cell ◽  
Next Generation ◽  
Cell Renal Cell Carcinoma ◽  
Non Coding Rna ◽  
Long Non Coding Rna
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