Analysis of energy utilization and body composition in kidney, bladder, and adrenal cancer patients

Urologic Oncology: Seminars and Original Investigations

Volumn 30, Issue 5, 2012, Pages 711-718

  Xu, Wen P ^a   Cao, Dong X ^a   Lin, Zong M ^a   Wu, Guo H ^a   Chen, Lian ^a   Zhang, Jian P ^a   Zhang, Bo ^a   Yang, Zi A ^a   Jiang, Yi ^a   Han, Yu S ^a   Xu, Le ^a   Zhu, Yu ^a   Chen, Wen F ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Adrenal cancer; Body composition; Kidney cancer; Metabolism; Resting energy expenditure; Substrate utilization

Indexed keywords

ADRENAL CANCER; ADULT; ARTICLE; BIOELECTRICAL IMPEDANCE; BLADDER CANCER; BODY COMPOSITION; BODY WATER; BODY WEIGHT; CALORIMETRY; CANCER PATIENT; CARBOHYDRATE OXIDATION RATE; CHEMICAL PARAMETERS; CONTROLLED STUDY; ENERGY EXPENDITURE; EXTRACELLULAR FLUID; FAT FREE MASS; FAT MASS; FAT OXIDATION RATE; FEMALE; HUMAN; HYPERMETABOLISM; IMPEDANCE; INDIRECT CALORIMETRY; INTRACELLULAR FLUID; KIDNEY CANCER; MAJOR CLINICAL STUDY; MALE; MASS; PRIORITY JOURNAL; RESTING ENERGY EXPENDITURE; URINARY TRACT CANCER;

ADIPOSE TISSUE; ADRENAL GLAND NEOPLASMS; ADULT; AGED; ANALYSIS OF VARIANCE; BODY COMPOSITION; BODY WATER; BODY WEIGHT; CALORIMETRY, INDIRECT; CARBOHYDRATE METABOLISM; ELECTRIC IMPEDANCE; ENERGY METABOLISM; EXTRACELLULAR FLUID; FEMALE; HUMANS; INTRACELLULAR FLUID; KIDNEY NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM STAGING; OXIDATION-REDUCTION; URINARY BLADDER NEOPLASMS;

EID: 84866759514     PISSN: 10781439     EISSN: 18732496     Source Type: Journal    
DOI: 10.1016/j.urolonc.2010.07.017     Document Type: Article

References (38)

1. Korth O., Bosy-Westphal A., Zschoche P., et al. Influence of methods used in body composition analysis on the prediction of resting energy expenditure. Eur J Clin Nutr 2007, 61:582-589.
2. Boullata J., Williams J., Cottrell F., et al. Accurate determination of energy needs in hospitalized patients. J Am Diet Assoc 2007, 107:393-401.
3. Bosaeus I., Daneryd P., Svanberg E., et al. Dietary intake and resting energy expenditure in relation to weight loss in unselected cancer patients. Int J Cancer 2001, 93:380-383.
4. Sergi G., Coin A., Mulone S., et al. Resting energy expenditure and body composition in bedridden institutionalized elderly women with advanced-stage pressure sores. J Gerontol A Biol Sci Med Sci 2007, 62:317-322.
5. MacInnis R.J., English D.R., Hopper J.L., et al. Body size and composition and colon cancer risk in women. Int J Cancer 2006, 118:1496-1500.
6. Cao D.X., Wu G.H., Zhang B., et al. Resting energy expenditure and body composition in patients with newly detected cancer. Clin Nutr 2010, 29:72-77.
7. Galtier F., Farret A., Verdier R., et al. Resting energy expenditure and fuel metabolism following laparoscopic adjustable gastric banding in severely obese women: Relationships with excess weight lost. Int J Obesity 2006, 30:1104-1110.
8. de Luis D.A., Aller R., Izaola O., et al. Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population. Ann Nutr Metab 2006, 50:193-196.
9. Riggio O., Angeloni S., Ciuffa L., et al. Malnutrition is not related to alterations in energy balance in patients with stable liver cirrhosis. Clin Nutr 2003, 22:553-559.
10. Finestone H.M., Greene-Finestone L.S., et al. Measuring longitudinally the metabolic demands of stroke patients: Resting energy expenditure is not elevated. Stroke 2003, 34:502-507.
11. Green A.J., Smith P., Whelan K. Estimating resting energy expenditure in patients requiring nutritional support: A survey of dietetic practice. Eur J Clin Nutr 2008, 62:150-153.
12. Wang Z., Heshka S., Gallagher D., et al. Resting energy expenditure-fat-free mass relationship: New insights provided by body composition modeling. Am J Physiol Endocrinol Metab 2000, 279:E539-E545.
13. Burdio F., Navarro A., Sousa R., et al. Evolving technology in bipolar perfused radiofrequency ablation: Assessment of efficacy, predictability, and safety in a pig liver model. Eur Radiol 2006, 16:1826-1834.
14. Reeves M.M., Capra S., Bauer J., et al. Clinical accuracy of the MedGem indirect calorimeter for measuring resting energy expenditure in cancer patients. Eur J Clin Nutr 2005, 59:603-610.
15. Har-Shai Y., Glickman Y.A., Siller G., et al. Electrical impedance scanning for melanoma diagnosis: A validation study. Plast Reconstr Surg 2005, 116:782-790.
16. Harris J, Benedict F. A biometric study of basal metabolism in man. Carnegie Institute of Washington, Washington DC. Publication Number 279 1919.
17. Hronek M., Zadak Z., Hrnciarikova D., et al. New equation for the prediction of resting energy expenditure during pregnancy. Nutrition 2009, 25:947-953.
18. Balkwill F., Osborne R., Burke F., et al. Evidence for tumor necrosis factor/cachectin production in cancer. Lancet 1987, 2:1229-1232.
19. Lindmark L., Bennegard K., Eden E., et al. Resting energy expenditure in malnourished patients with and without cancer. Gastroenterology 1984, 87:402-408.
20. Dempsey D.T., Feurer I.D., Knox L.S., et al. Energy expenditure in malnourished gastrointestinal cancer patients. Cancer 1984, 53:1265-1273.
21. Wilkinson B.A., Smallwood R.H., Keshtar A., et al. Electrical impedance spectroscopy and the diagnosis of bladder pathology: A pilot study. J Urol 2002, 168(4 Pt 1):1563-1567.
22. Stojadinovic A., Nissan A., Gallimidi Z., et al. Electrical impedance scanning for the early detection of breast cancer in young women: Preliminary results of a multicenter prospective clinical trial. J Clin Oncol 2005, 23:2703-2715.
23. Ravasco P., Monteiro-Grillo I., Camilo M. Colorectal cancer: Intrinsic characteristics modulate cancer energy expenditure and the risk of cachexia. Cancer Invest 2007, 25:308-314.
24. Hogan S.E. Body composition and resting energy expenditure of individuals with Duchenne and Becker muscular dystrophy. Can J Dietetic Pract Res 2008, 69:208-212.
25. Slattery M.L., Murtaugh M., Caan B., et al. Energy balance, insulin-related genes, and risk of colon and rectal cancer. Int J Cancer 2005, 115:148-154.
26. Wang X.W., You T.J., Lenchik L., et al. Resting energy expenditure changes with weight loss: Racial differences. Obesity 2010, 18:86-91.
27. Lam J.S., Klatte T., Kim H.L., et al. Prognostic factors and selection for clinical studies of patients with kidney cancer. Crit Rev Oncol/Hematol 2008, 65:235-262.
28. Jemal A., Siegel R., Ward E., et al. Cancer statistics, 2008. CA Cancer J Clin 2008, 58:71-96.
29. Boorjian S., Cowan J.E., Konety B.R., et al. Bladder cancer incidence and risk factors in men with prostate cancer: Results from cancer of the prostate strategic urologic research endeavor. J Urol 2007, 177:883-888.
30. Hansell D.T., Davies J.W., Shenkin A., et al. The oxidation of body fuel stores in cancer patients. Ann Surg 1986, 204:637-642.
31. Suzuki H., Freije D., Nusskern D.R., et al. Interfocal heterogeneity of PTEN/MMAC1 gene alterations in multiple metastatic prostate cancer tissues. Cancer Res 1998, 58:204-209.
32. Ryden M., Agustsson T., Laurencikiene J., et al. Lipolysis-not inflammation, cell death, or lipogenesis-is involved in adipose tissue loss in cancer cachexia. Cancer 2008, 113:1695-1704.
33. Zuijdgeest-van Leeuwen S.D., van den Berg J.W.O., Wattimena J.L.D., et al. Lipolysis and lipid oxidation in weight-losing cancer patients and healthy subjects. Metab Clin Exp 2000, 49:931-936.
34. Legaspi A., Jeevanandam M., Starnes H.F., et al. Whole-body lipid and energy metabolism in the cancer patient. Metab Clin Exp 1987, 36:958-963.
35. Liusuwan R.A., Widman L.M., Abresch R.T., et al. Body composition and resting energy expenditure in patients aged 11 to 21 years with spinal cord dysfunction compared to controls: Comparisons and relationships among the groups. J Spinal Cord Med 2007, 30:S105-S111.
36. Ryden M., Arner P. Fat loss in cachexia-is there a role for adipocyte lipolysis?. Clin Nutr 2007, 26:1-6.
37. Carpenter C.L., Ross R.K., Paganini-Hill A., et al. Effect of family history, obesity, and exercise on breast cancer risk among postmenopausal women. Int J Cancer 2003, 106:96-102.
38. Generali D., Berruti A., Brizzi M.P., et al. Hypoxia-inducible factor-1α expression predicts a poor response to primary chemoendocrine therapy and disease-free survival in primary human breast cancer. Clin Cancer Res 2006, 12:4562-4568.