Metabolomics informs common patterns of molecular dysfunction across histologies of renal cell carcinoma Review


Authors: DiNatale, R. G.; Sanchez, A.; Hakimi, A. A.; Reznik, E.
Review Title: Metabolomics informs common patterns of molecular dysfunction across histologies of renal cell carcinoma
Abstract: The last 30 years of research in renal cell carcinoma (RCC) has revealed that the vast majority of RCC histologies share a recurrent pattern of mutations to metabolic genes, including VHL, MTOR, ELOC, TSC1/2, FH, SDH, and mitochondrial DNA. This has prompted intense study of the consequences of these mutations on cellular metabolism and physiology in vivo by leveraging high-throughput technologies to measure small-molecule metabolites (i.e., metabolomics). The purpose of this review is to give a broad and integrated view on the discoveries made in RCC with metabolomics, and to give a basic understanding of the experimental design of metabolomic studies. Our discussion is organized around five concepts which synthesize discoveries from genomics and metabolomics into the molecular basis of RCC and transcend the different RCC histologies: (1) metabolic phenotypes unique to certain genotypes, (2) mitochondrial dysfunction, (3) the oxidative stress response, (4) epigenetics, and (5) therapy targeted to metabolism. We conclude by proposing several promising lines of investigation that intersect metabolism with emerging ideas in RCC biology. © 2019 Elsevier Inc.
Keywords: review; systemic therapy; neoplasms; metabolism; genotype; histology; renal cell carcinoma; carcinogenesis; epigenetics; genomics; oxidative stress; cell metabolism; disorders of mitochondrial functions; metabolomics; human; priority journal; metabolic phenotype
Journal Title: Urologic Oncology: Seminars and Original Investigations
Volume: 38
Issue: 10
ISSN: 1078-1439
Publisher: Elsevier Inc.  
Date Published: 2020-10-01
Start Page: 755
End Page: 762
Language: English
DOI: 10.1016/j.urolonc.2019.04.028
PUBMED: 31155438
PROVIDER: scopus
DOI/URL:
Notes: Review -- Export Date: 1 October 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Abraham Ari Hakimi
    324 Hakimi
  2. Eduard Reznik
    103 Reznik
  3. Alejandro Sanchez
    29 Sanchez