代谢组学
蛋白质组学
肾透明细胞癌
生物
转录组
肾细胞癌
基因组学
组学
肾癌
计算生物学
生物信息学
个性化医疗
疾病
癌症
清除单元格
精密医学
癌症研究
基因
基因组
遗传学
医学
癌
病理
基因表达
作者
Maria Czyzyk-Krzeska,Julio Alberto Landero Figueroa,Shuchi Gulati,John T. Cunningham,Jarek Meller,Behrouz Shamsaei,Bhargav Vemuri,David R. Plas
出处
期刊:Genes
[Multidisciplinary Digital Publishing Institute]
日期:2021-03-09
卷期号:12 (3): 388-388
被引量:22
标识
DOI:10.3390/genes12030388
摘要
The promise of personalized medicine is a therapeutic advance where tumor signatures obtained from different omics platforms, such as genomics, transcriptomics, proteomics, and metabolomics, in addition to environmental factors including metals and metalloids, are used to guide the treatments. Clear cell renal carcinoma (ccRCC), the most common type of kidney cancer, can be sporadic (frequently) or genetic (rare), both characterized by loss of the von Hippel-Lindau (VHL) gene that controls hypoxia inducible factors. Recently, several genomic subtypes were identified with different prognoses. Transcriptomics, proteomics, metabolomics and metallomic data converge on altered metabolism as the principal feature of the disease. However, in view of multiple biochemical alterations and high level of tumor heterogeneity, identification of clearly defined subtypes is necessary for further improvement of treatments. In the future, single-cell combined multi-omics approaches will be the next generation of analyses gaining deeper insights into ccRCC progression and allowing for design of specific signatures, with better prognostic/predictive clinical applications.
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