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J Pain Symptom Manage · Jul 2015
ReviewOngoing Screening and Treatment to Potentially Reduce Tyrosine Kinase Inhibitor-Related Fatigue in Renal Cell Carcinoma.
- Deepa Anand and Carmen P Escalante.
- Department of General Internal Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
- J Pain Symptom Manage. 2015 Jul 1; 50 (1): 108-17.
ContextRenal cell carcinoma (RCC) represents 1% to 4% of adult malignancies, and approximately 33% of patients with RCC present with metastatic disease and have a poor prognosis. Better understanding of RCC tumor biology has led to the development of several molecularly targeted agents, such as tyrosine kinase inhibitors (TKIs), to manage advanced disease. Although evolving data suggest these drugs may be beneficial in RCC, they are associated with significant toxicities. Cancer-related fatigue (CRF) is one of the most common toxicities associated with the TKIs used in RCC.ObjectivesTo review the incidence, pathophysiology, and management of CRF in patients with RCC who are undergoing targeted therapy with TKIs.MethodsA comprehensive database search was performed using PubMed, Ovid, Embase, and MEDLINE. References of all cited articles also were reviewed. Data from articles published between 1975 and June 2014 were considered. A narrative review regarding the incidence, pathophysiology, and management of CRF in patients with RCC undergoing targeted therapy with TKIs was performed.ResultsCRF is one of the most common TKI toxicities in patients with metastatic RCC and often is the dose-limiting toxicity. Management of TKI-related CRF can be difficult and may necessitate various nonpharmacologic and pharmacologic interventions.ConclusionTKI-related CRF in patients with RCC is a highly distressing complication of cancer therapy. CRF can substantially influence drug compliance, the ability to maximally treat, and quality of life. It is important to recognize this common, yet frequently underdiagnosed complication and initiate appropriate management strategies, to increase the likelihood for optimal outcomes.Published by Elsevier Inc.
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