Personalized Management of Advanced Kidney Cancer

Jeffrey Graham, Daniel Y.C. Heng, James B Brugarolas, Ulka Vaishampayan

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations


The treatment of renal cell carcinoma represents one of the great success stories in translational cancer research, with the development of novel therapies targeting key oncogenic pathways. These include drugs that target the VEGF and mTOR pathways, as well as novel immuno-oncology agents. Despite the therapeutic advancements, there is a paucity of well-validated prognostic and predictive biomarkers in advanced kidney cancer. With a number of highly effective therapies available across multiple lines, it will become increasingly important to develop a more tailored approach to treatment selection. Prognostic clinical models, such the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model, are routinely used for prognostication in clinical practice. The IMDC model has demonstrated a predictive capability in the context of these treatments including immune checkpoint inhibition. A number of promising molecular markers and gene expression signatures are being explored as prognostic and predictive biomarkers, but none are ready to be widely used for treatment selection. In this review, we will explore the current landscape of personalized care in metastatic renal cell carcinoma. This will include a focus on both prognostic and predictive factors as well as clinical applications of biology in kidney cancer.

Original languageEnglish (US)
Pages (from-to)330-341
Number of pages12
JournalAmerican Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Issue number38
StatePublished - May 23 2018

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Personalized Management of Advanced Kidney Cancer'. Together they form a unique fingerprint.

Cite this