Non-small Cell Lung Carcinoma
Conditions
Keywords
Aging, Hypermetabolism
Brief summary
Aging and cancer are two conditions associated with extensive metabolic changes that can cause malnutrition. However, the clinical features and the underlying mechanisms leading to malnutrition are different in these two cases. We therefore wonder how age can influence the metabolic response to cancer.
Detailed description
During aging, among other physiological modifications, inactivity and insulin resistance cause a progressive muscle loss associated with a decrease in resting energy expenditure (REE). In cancer, loud inflammation background also provokes a decrease in muscle mass as well as in fat mass. However, previous studies reported an increased REE, termed hypermetabolism, probably linked to inflammation. Data concerning response to aggression in the elderly patient is scarce and even inexistent when it comes to cancer. The investigators hypothesize that the mitochondrial dysfunction that comes with aging and that decreases the ATP rendering per unit of energy-producing nutrient oxidized increases the amount of nutrient to be consumed in order to sustain to energy needs. Therefore, in this situation, elderly patients could have a higher rate or degree of hypermetabolism than younger patients. The primary objective of this study is to assess the effect of aging on the metabolic response to cancer assessed by resting energy expenditure measured by indirect calorimetry corrected by whole body fat free mass calculated from single slice CT imaging at the third lumbar vertebra. The secondary objective of this study is to point out some inflammatory or endocrine determinants of these energy metabolism changes in the cancer patient. Non-small cell lung carcinoma seems to be a relevant choice for this study because it is frequently associated with cachexia and the literature reports a high rate of hypermetabolism in this cancer.
Interventions
None listed
Sponsors
University of Paris 5 - Rene Descartes
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 95 Years
Healthy volunteers
Yes
Inclusion criteria
* Non-small cell lung carcinoma
Exclusion criteria
* Imbalanced Diabetes * Imbalanced dysthyroidia * Surgery within two month prior inclusion * Any chronic auto-immune or inflammatory disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Measured resting energy expenditure (mREE) in kilocalorie per day | Day 0 | Energy expenditure is measured by indirect calorimetry. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Blood Interleukine-6 in picogram per milliliter | Day 0 | Inflammatory status |
| Blood Tumor Necrosis Factor alpha in picogram per milliliter | Day 0 | Inflammatory status |
| Blood Insulin in milliunit per liter | Day 0 | Endocrine Status - Glucose Homeostasis |
| Blood ultra-sensitive Thyroid Stimulating Hormone in milliunit per liter | Day 0 | Endocrine Status - Thyroid Function |
| Blood Insulin-like Growth Factor 1 in nanogram per liter | Day 0 | Endocrine Status - Somatotropic axis |
| Blood Glucose in millimole per liter | Day 0 | Endocrine Status |
| Blood C-Reactive Protein in milligram per milliliter | Day 0 | Inflammatory status |
| Lean Body Mass in kilogram | Day 0 | Estimated from muscular area at the third lombular vertebra from CT-scan |
| energy intake in kilocalorie per day | Day 0 | Estimated by a qualified dietetican |
| Albumin in gram per liter | Day 0 | Nutritional Satus |
| Transthyretin in gram per liter | Day 0 | Nutritional Satus |
| Predicted resting energy expenditure (HB) in kilocalorie per day | Day 0 | REE estimated with Harris & Benedict Formula |
| Percentage of estimated energy expenditure | Day 0 | Percentage of HB : (mREE/HB) x 100 |
| Homeostasis Model assessment of Insulin resistance | Day 0 | Aggregates blood Insulin and glucose level as an insulin resistance score |
Countries
France
Outcome results
None listed