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Cancer, Phase Angle and Sarcopenia: The Role of Diet in Connection with Lung Cancer Prognosis

Journal

LUNG
Volume 200, Issue 3, Pages 347-379

Publisher

SPRINGER
DOI: 10.1007/s00408-022-00536-z

Keywords

Lung cancer; Phase angle; Sarcopenia; Nutrition; Intervention

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Lung cancer, associated with malnutrition and sarcopenia, is the leading cause of cancer death. The measurement of phase angle (PhA) derived from bioelectrical impedance analysis (BIA) can help identify and manage malnutrition. The relationship between PhA and sarcopenia with lung cancer prognosis involves mechanisms such as inflammation and oxidative stress, but more research is needed to determine critical thresholds.
Lung cancer is the most common cause of cancer death and is associated with malnutrition and sarcopenia. The detection of sarcopenia and conduction of simple body composition measurements, such as the phase angle (PhA) deriving from bioelectrical impedance analysis (BIA), can help to early identify, monitor, prevent and treat malnutrition. The present review aims to clarify the relationship between PhA and sarcopenia with the pathophysiology, clinical outcomes, and therapeutic aspects of lung cancer. PhA and sarcopenia are connected to lung cancer prognosis through various mechanisms including inflammation and oxidative stress, although more research is needed to identify the critical thresholds for increased mortality risk. Moreover, emphasis is given on the role of dietary interventions (oral nutritional supplementation, and dietary counseling) to manage sarcopenia and related variables in patients with lung cancer. Oral nutritional supplements and/or those containing n - 3 polyunsaturated fatty acids may have a positive effect on physical strength measures and muscle mass if administered at the beginning of chemotherapy. Data on sole dietary counseling or multimodal interventions are less promising so far. In the future, sophisticated body composition phenotypes deriving from the described methods along with artificial intelligence techniques could be used to design personalized nutrition interventions and timely treat these patients.

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