BACKGROUND: Over the last decade, the treatment landscape of @entity1358 ( @entity1358 ) has evolved tremendously. The outcome of @entity1 with @entity1358 has been improved since the advent of targeted therapy. OBJECTIVE: In this review, we address the use of prognostic schema in the era of targeted treatment. This article summarizes the current available prognostic models and the evidence to support their use in clinical settings. CONCLUSION: Prognostic models can help guide clinicians in their decision making, as they have been validated in the first- and second-line targeted therapy settings as well as in non-clear cell @entity1358 . Prognostic factors are important in @entity1 counseling, clinical trial stratification, and therapy planning. Very selected favorable-risk @entity1 with minimal bulk and slow-growing disease could potentially be observed before needing treatment. @entity1 with poor-risk disease may be eligible for treatment with @entity13850 . @entity1 with a very poor prognosis may not be suitable candidates for cytoreductive nephrectomy. New biomarkers are on the horizon, though their roles need to be validated and their additive contribution to improve existing prognostic models examined.

The use of prognostic factors in XXXX .

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient'] @entity13850 :: ('MESH:C401859', 'Chemical') :: ['temsirolimus'] @entity1358 :: ('MESH:D002292', 'Disease') :: ['mRCC', 'metastatic renal cell carcinoma']
@entity1358 :: (MESH:D002292,Disease) :: ['metastatic renal cell carcinoma']
