Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma

Maria F Czyzyk-Krzeska1,2,3, Julio A Landero Figueroa3,4, Shuchi Gulati5

  • 1Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA.

Genes
|April 3, 2021
PubMed

Insights

Personalized medicine uses multi-omics data to tailor treatments for clear cell renal carcinoma (ccRCC). Further research into tumor heterogeneity and subtypes will improve prognostic and predictive clinical applications.

Area of Science:

  • Oncology
  • Genetics
  • Biochemistry

Background:

  • Clear cell renal carcinoma (ccRCC) is the most common kidney cancer, often linked to von Hippel-Lindau (VHL) gene loss.
  • Tumor heterogeneity and multiple biochemical alterations complicate treatment strategies.

Purpose of the Study:

  • To explore the potential of multi-omics data in understanding ccRCC.
  • To identify distinct ccRCC subtypes for improved therapeutic guidance.

Main Methods:

  • Analysis of genomics, transcriptomics, proteomics, metabolomics, and metallomics data.
  • Integration of environmental factors and tumor signatures.

Main Results:

  • Altered metabolism is a key feature across transcriptomic, proteomic, metabolomic, and metallomic profiles.
  • Identification of genomic subtypes with varying prognoses.

Conclusions:

  • Multi-omics approaches are crucial for deciphering ccRCC complexity.
  • Future single-cell multi-omics analyses will enhance prognostic/predictive applications and personalized treatment strategies.

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