PURPOSE OF THE RESEARCH: Review the oncology and clinical nutrition literature to highlight the synergies between those two subjects. This review focuses on diagnostic of lean body wasting and the recent improvements in measuring body composition to monitor the response to nutrition during optimal oncology treatment. PRINCIPAL RESULTS: Nutrition support in cancer patients has made major progresses. A variety of advanced tools allow monitoring and explaining weight loss, body composition changes and metabolic alterations. Body composition is more accurate than body surface area to determine chemotherapeutic drug dosing. As with any therapeutic approach, clinical nutrition has a better risk-benefit ratio if implemented when indicated rather than used routinely. Body composition measurements are helpful for a better understanding of the host-tumor interactions during cancer treatment and nutrition support. MAJOR CONCLUSIONS: Nutrition support based on body composition analysis may significantly contribute to optimize current oncology treatment and clinical outcomes.
PURPOSE OF THE RESEARCH: Review the oncology and clinical nutrition literature to highlight the synergies between those two subjects. This review focuses on diagnostic of lean body wasting and the recent improvements in measuring body composition to monitor the response to nutrition during optimal oncology treatment. PRINCIPAL RESULTS: Nutrition support in cancerpatients has made major progresses. A variety of advanced tools allow monitoring and explaining weight loss, body composition changes and metabolic alterations. Body composition is more accurate than body surface area to determine chemotherapeutic drug dosing. As with any therapeutic approach, clinical nutrition has a better risk-benefit ratio if implemented when indicated rather than used routinely. Body composition measurements are helpful for a better understanding of the host-tumor interactions during cancer treatment and nutrition support. MAJOR CONCLUSIONS: Nutrition support based on body composition analysis may significantly contribute to optimize current oncology treatment and clinical outcomes.
Authors: Chien-Hung Chiu; Peng Zhang; Andrew C Chang; Brian A Derstine; Brian E Ross; Binu Enchakalody; Nidhi V Shah; Stewart C Wang; Yin-Kai Chao; Jules Lin Journal: Ann Thorac Surg Date: 2019-09-21 Impact factor: 4.330
Authors: Patrizia Gnagnarella; Alessandro Maria Misotti; Luigi Santoro; Demosthenes Akoumianakis; Laura Del Campo; Francesco De Lorenzo; Claudio Lombardo; Giannis Milolidakis; Richard Sullivan; John Gordon McVie Journal: J Cancer Educ Date: 2016-09 Impact factor: 2.037
Authors: Teresa Małecka-Massalska; Tomasz Powrózek; Monika Prendecka; Radosław Mlak; Grzegorz Sobieszek; Wojciech Brzozowski; Anna Brzozowska Journal: In Vivo Date: 2019 Sep-Oct Impact factor: 2.155
Authors: S Gérard; D Bréchemier; A Lefort; S Lozano; G Abellan Van Kan; T Filleron; L Mourey; C Bernard-Marty; M E Rougé-Bugat; V Soler; B Vellas; M Cesari; Y Rolland; L Balardy Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
Authors: Chen Wang; Jeffrey M Vainshtein; Maria Veksler; Patrick E Rabban; June A Sullivan; Stewart C Wang; Avraham Eisbruch; Shruti Jolly Journal: Springerplus Date: 2016-04-11
Authors: Greetje Vanhoutte; Mick van de Wiel; Kristin Wouters; Michaël Sels; Linda Bartolomeeussen; Sven De Keersmaecker; Caroline Verschueren; Veronique De Vroey; Annemieke De Wilde; Elke Smits; Kin Jip Cheung; Liesbeth De Clerck; Petra Aerts; Didier Baert; Caroline Vandoninck; Sofie Kindt; Sofie Schelfhaut; Marc Vankerkhoven; Annelies Troch; Lore Ceulemans; Hanne Vandenbergh; Sven Leys; Tim Rondou; Elke Dewitte; Kristel Maes; Patrick Pauwels; Benedicte De Winter; Luc Van Gaal; Dirk Ysebaert; Marc Peeters Journal: BMJ Open Gastroenterol Date: 2016-10-18
Authors: Iris J G Rutten; David P J van Dijk; Roy F P M Kruitwagen; Regina G H Beets-Tan; Steven W M Olde Damink; Toon van Gorp Journal: J Cachexia Sarcopenia Muscle Date: 2016-03-07 Impact factor: 12.910