Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma.
Maria F Czyzyk-KrzeskaJulio A Landero FigueroaShuchi GulatiJohn T CunninghamJarek MellerBehrouz ShamsaeIBhargav VemuriDavid R PlasPublished in: Genes (2021)
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.
Keyphrases
- single cell
- mass spectrometry
- rna seq
- genome wide
- copy number
- high throughput
- clear cell
- late onset
- big data
- papillary thyroid
- amyotrophic lateral sclerosis
- machine learning
- dna methylation
- electronic health record
- label free
- current status
- human health
- squamous cell carcinoma
- genome wide identification
- early onset
- transcription factor
- health risk assessment
- young adults
- lymph node metastasis