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ClearCode34: A Prognostic Risk Predictor for Localized Clear Cell Renal Cell Carcinoma

Year: 2020

Type: article

Abstract: Gene expression signatures have proven to be useful tools in many cancers to identify distinct subtypes of disease based on molecular features that drive pathogenesis, and to aid in predicting clinical outcomes. However, there are no current signatures for kidney cancer that are applicable in a clinical setting.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/e32h-ct35

Authors: Nielsen, Matthew E., Kattan, Michael W., Tamboli, Pheroze, Brooks, Samira A., Parker, Joel S., Choueiri, Toni K., Hakimi, A. Ari, Sen, Oishee, Brannon, A. Rose, Fisher, Jennifer C., Hsieh, James J., Maranchie, Jodi K., Rathmell, W. Kimryn, Miller, C. Ryan, Hinds, Peter

Language: English

Topic: Renal cell carcinoma treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Howard Hughes Medical Institute, American Association for Cancer Research, Urology Care Foundation, Astellas Pharma, National Institutes of Health, National Cancer Institute, National Institute of Environmental Health Sciences

Awards: G1679616542, G168246106, G9000057450, G9000258160, G93699278

OpenAlex ID: W4298376145

FWCI:

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