Genomic profiling in renal cell carcinoma.
Nazli DizmanErrol J PhilipSumanta K PalPublished in: Nature reviews. Nephrology (2020)
The treatment landscape of metastatic renal cell carcinoma (RCC) has been revolutionized over the past two decades, bringing forth an era in which more than a dozen therapeutic agents are now available to treat patients. As a consequence, personalized care has become a critical part of developing effective treatment guidelines and improving patient outcomes. One of the most important emerging aspects of precision medicine in cancer is matching patients and treatments based on the genomic characteristics of an individual and their tumour. Despite the lack of a single genomic predictor of treatment response or prognostication feature in RCC, emerging research suggests that the identification of such markers remains promising. Mutations in VHL and alterations in its downstream pathways are the mainstay of RCC development and progression. However, the predictive value of VHL mutations has been questioned. Further research has examined mutations in genes involved in chromosome remodelling (for example, PBRM1, BAP1 and SETD2), DNA methylation and DNA damage repair, all of which have been associated with clinical outcomes. Here, we provide a comprehensive overview of genomic evidence in the context of RCC and its potential predictive and prognostic value.
Keyphrases
- renal cell carcinoma
- dna damage
- copy number
- dna methylation
- end stage renal disease
- newly diagnosed
- healthcare
- oxidative stress
- gene expression
- patient reported outcomes
- genome wide
- metastatic renal cell carcinoma
- single cell
- deep learning
- quality improvement
- papillary thyroid
- chronic pain
- pain management
- childhood cancer