scholarly journals Combined Metabolomics and Genome-Wide Transcriptomics Analyses Show Multiple HIF1α-Induced Changes in Lipid Metabolism in Early Stage Clear Cell Renal Cell Carcinoma

2020 ◽  
Vol 13 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Johannes C. van der Mijn ◽  
Leiping Fu ◽  
Francesca Khani ◽  
Tuo Zhang ◽  
Ana M. Molina ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Lipid Metabolism ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Early Stage ◽  
Cell Renal Cell Carcinoma ◽  
Genome Wide ◽  
Induced Changes

scholarly journals Integration of Lipidomics and Transcriptomics Reveals Reprogramming of the Lipid Metabolism and Composition in Clear Cell Renal Cell Carcinoma

Metabolites ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 509
Author(s):  
Giuseppe Lucarelli ◽  
Matteo Ferro ◽  
Davide Loizzo ◽  
Cristina Bianchi ◽  
Daniela Terracciano ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Renal Cell Carcinoma ◽  
Lipid Metabolism ◽  
Cell Carcinoma ◽  
Cancer Cells ◽  
Renal Cell ◽  
Clear Cell ◽  
Chemotherapy Resistance ◽  
Neoplastic Tissue ◽  
Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) is fundamentally a metabolic disease. Given the importance of lipids in many cellular processes, in this study we delineated a lipidomic profile of human ccRCC and integrated it with transcriptomic data to connect the variations in cancer lipid metabolism with gene expression changes. Untargeted lipidomic analysis was performed on 20 ccRCC and 20 paired normal tissues, using LC-MS and GC-MS. Different lipid classes were altered in cancer compared to normal tissue. Among the long chain fatty acids (LCFAs), significant accumulations of polyunsaturated fatty acids (PUFAs) were found. Integrated lipidomic and transcriptomic analysis showed that fatty acid desaturation and elongation pathways were enriched in neoplastic tissue. Consistent with these findings, we observed increased expression of stearoyl-CoA desaturase (SCD1) and FA elongase 2 and 5 in ccRCC. Primary renal cancer cells treated with a small molecule SCD1 inhibitor (A939572) proliferated at a slower rate than untreated cancer cells. In addition, after cisplatin treatment, the death rate of tumor cells treated with A939572 was significantly greater than that of untreated cancer cells. In conclusion, our findings delineate a ccRCC lipidomic signature and showed that SCD1 inhibition significantly reduced cancer cell proliferation and increased cisplatin sensitivity, suggesting that this pathway can be involved in ccRCC chemotherapy resistance.

Association of genome-wide copy number alterations with metastasis of clear cell renal cell carcinoma.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 428-428
Author(s):  
Banumathy Gowrishankar ◽  
Venkata Jaganmohan Thodima ◽  
Ana M. Molina ◽  
Charles Ma ◽  
Asha Guttapalli ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Copy Number ◽  
Clear Cell ◽  
Rank Statistic ◽  
Copy Number Alterations ◽  
Cell Renal Cell Carcinoma ◽  
Metastatic Lesions ◽  
Genome Wide

428 Background: About one-third of patients with clear cell renal cell carcinoma (ccRCC) exhibit metastasis at the time of diagnosis and show poor prognosis. The genetic and epigenetic alterations associated with metastasis in ccRCC have variably been studied, and their role in the metastatic process is unclear. The goals of the current study were to identify genomic copy number alterations (CNAs) associated with ccRCC metastasis and examine their clinical utility. Methods: In this IRB-approved study, genome-wide copy number profiling was performed on DNA from 144 ccRCC (81 primary and 63 metastatic lesions). Differential CNAs between primary and metastatic lesions and between different metastatic sites were identified using Fisher’s exact test. Associations between CNAs and overall survival (OS) were tested using the log rank statistic and Kaplan-Meier method. Genomic profiling data of 437 and 240 primary ccRCC (TCGA and PMID: 23797736, respecitively) were used for verification. Results: Between primary and metastatic lesions, 25 CNAs were significantly different (p<0.05). Of the 11 more frequent in metastatic lesions, nine retained significance when comparing stage IV and stage I TCGA ccRCC. For 368 TCGA locally-invasive tumors (stages I, II, and III), three CNAs (loss of 9p24.3-p13.3, 9p12-q11, and 9q21.12-q21.33) were associated with inferior survival (p=0.002). In the second dataset of 214 locally-invasive lesions, loss of 18q11.2-q23 correlated with shorter OS (p=0.025). Across metastatic lesions, nine CNAs were found to be significantly enriched in lung lesions and three in bone. In a subset of 127 ccRCC with known metastatic status at 5 years after diagnosis, two of these CNAs (gain of 7q36.1-36.3 in lung and loss of 22q13.2 in bone) were significantly enriched in the corresponding primary specimens. Conclusions: This study identified CNAs associated with ccRCC metastasis and common sites of metastasis that have the potential to serve as biomarkers to assist in better risk stratification of patients with this disease. Integrated analyses of genes mapping to the loci of genomic imbalance would further our understanding of the biology of metastasis in renal cancer.

scholarly journals The Uniqueness of Clear Cell Renal Cell Carcinoma: Summary of the Process and Abnormality of Glucose Metabolism and Lipid Metabolism in ccRCC

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaochen Qi ◽  
Quanlin Li ◽  
Xiangyu Che ◽  
Qifei Wang ◽  
Guangzhen Wu
Keyword(s):  
Renal Cell Carcinoma ◽  
Lipid Metabolism ◽  
Glucose Metabolism ◽  
Cell Carcinoma ◽  
Kidney Cancer ◽  
Renal Cell ◽  
Cancer Metabolism ◽  
Clear Cell ◽  
Future Research ◽  
Cell Renal Cell Carcinoma

Kidney cancer is a cancer with an increasing incidence in recent years. Clear cell renal cell carcinoma (ccRCC) accounts for up to 80% of all kidney cancers. The understanding of the pathogenesis, tumor progression, and metastasis of renal carcinoma is not yet perfect. Kidney cancer has some characteristics that distinguish it from other cancers, and the metabolic aspect is the most obvious. The specificity of glucose and lipid metabolism in kidney cancer cells has also led to its being studied as a metabolic disease. As the most common type of kidney cancer, ccRCC has many characteristics that represent the specificity of kidney cancer. There are features that we are very concerned about, including the presence of lipid droplets in cells and the obesity paradox. These two points are closely related to glucose metabolism and lipid metabolism. Therefore, we hope to explore whether metabolic changes affect the occurrence and development of kidney cancer by looking for evidence of changes on expression at the genomic and protein levels in glucose metabolism and lipid metabolism in ccRCC. We begin with the representative phenomenon of abnormal cancer metabolism: the Warburg effect, through the collection of popular metabolic pathways and related genes in the last decade, as well as some research hotspots, including the role of ferroptosis and glutamine in cancer, systematically elaborated the factors affecting the incidence and metastasis of kidney cancer. This review also identifies the similarities and differences between kidney cancer and other cancers in order to lay a theoretical foundation and provide a valid hypothesis for future research.

scholarly journals Genome-Wide Analysis of Differentially Expressed Genes and Splicing Isoforms in Clear Cell Renal Cell Carcinoma

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e78452 ◽  
Author(s):  
Alessio Valletti ◽  
Margherita Gigante ◽  
Orazio Palumbo ◽  
Massimo Carella ◽  
Chiara Divella ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differentially Expressed Genes ◽  
Renal Cell ◽  
Clear Cell ◽  
Differentially Expressed ◽  
Cell Renal Cell Carcinoma ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Splicing Isoforms
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