Hypermetabolism is an independent prognostic factor of survival in metastatic non-small cell lung cancer patients.

BACKGROUND & AIMS: Metastatic non-small cell lung cancer (NSCLC) is the first cause of cancer death worldwide. Increased resting energy expenditure (REE) is frequent among cancer patients and may contribute to cancer cachexia. The aim of this study was to examine the prognostic value of increased REE in metastatic NSCLC patients. METHODS: This observational study was conducted between June 2012 and November 2017 in the outpatient unit of the oncology department of Cochin hospital, Paris. Consecutive patients with newly diagnosed stage IV NSCLC underwent measurement of REE by indirect calorimetry before treatment initiation. Uni- and multivariate analysis of overall survival (OS, Cox models) included age, sex, smoking habit, histological subtype, performance status, body mass index, weight loss, albumin and CRP levels and the ratio of measured REE to the REE predicted by the Harris Benedict formula (mREE/pREE). RESULTS: 144 patients were enrolled: mean age 64 years, 63% male, 90% non-squamous carcinoma, including 17% with ALK/EGFR alteration. In univariate analysis, tobacco consumption (p = 0.007), histo-molecular subtype (p < 10-3), performance status (p = 0.04), weight loss (p < 10-4), albumin (p < 10-4), CRP (p = 0.001) and mREE/pREE ratio (>vs ≤ 120%: HR = 2.16, p < 10-3) were significant prognostic factors of OS. Median OS were 6.1 and 17.3 months in patients with mREE/pREE ratio > and ≤120%, respectively. In multivariate analysis, histo-molecular subtype (non-squamous ALK/EGFR mutated vs squamous carcinoma: HR = 0.25, p = 0.006), weight loss (>vs ≤ 5%: HR = 1.98, p = 0.004), albumin (≥vs < 35 g/L: HR = 0.56, p = 0.02) and mREE/pREE ratio (> vs ≤120%: HR = 1.90, p = 0.004) were identified as independent prognostic factors. CONCLUSIONS: Elevated resting energy expenditure emerges as an independent prognostic factor in metastatic NSCLC.

Resting energy metabolism and anticancer treatments.

PURPOSE OF REVIEW: Cachexia is a multifactorial syndrome associated with morbidity and mortality in cancer patients and represents a major challenge in cancer management. Elevated energy expenditure is supposed to contribute to cachexia. The current article presents the recent findings on the resting energy expenditure (REE) in cancer and the clinical implications for anticancer treatments. RECENT FINDINGS: Half of cancer patients present with hypermetabolism (measured REE >110% of predicted REE). Hypermetabolism is associated with clinical and biological features of cachexia. Hypermetabolic patients - even those with normal nutritional status - have a high risk of severe acute toxicity and a poor prognosis. SUMMARY: Recent discoveries have highlighted the REE as an essential component of nutritional assessment in cancer patients. Multimodal care for cachexia should include REE measurements and dedicated pharmacologic interventions such as adrenoreceptor blockade in case of hypermetabolism.

Resting energy expenditure in the risk assessment of anticancer treatments.

BACKGROUND & AIMS: Alterations of nutritional and performance status (PS) are associated with higher risk of chemotherapy toxicity. Increased resting energy expenditure (REE) is frequent in cancer patients and may contribute to cachexia. We investigated whether abnormal energetic metabolism could predict early acute limiting toxicities (ELT) of anticancer treatments. METHODS: In this observational monocentric study, REE was measured by indirect calorimetry before treatment initiation. Based on the ratio of measured REE to REE predicted by the Harris-Benedict formula, patients were classified as hypometabolic (<90%), normometabolic (90-110%) or hypermetabolic (>110%). Body mass index, weight loss, PS, albumin, transthyretin, C-reactive protein (CRP) and muscle mass (CT-scan) were studied. Were defined as ELT any unplanned hospitalization or any adverse event leading to dose reduction or discontinuation during the first cycle of treatment. RESULTS: We enrolled 277 patients: 76% had metastatic disease; 89% received chemotherapy and 11% targeted therapy; 29% were normometabolic, 51% hypermetabolic and 20% hypometabolic. Fifty-nine patients (21%) experienced an ELT. Toxicity was associated with abnormal metabolism (vs normal: OR = 2.37 [1.13-4.94], p = 0.023), PS (2-3 vs 0-1: OR = 2.04 [1.12-3.74], p = 0.023), albumin (<35 vs ≥35 g/l: OR = 2.39 [1.03-5.54], p = 0.048), and inflammation (CRP ≥10 vs <10 mg/l: OR = 2.43 [1.35-4.38], p = 0.004). To predict toxicity, the most sensitive parameter was the REE (83%) followed by PINI (63%), GPS (59%), CRP (55%), PS (41%), NRI (37%), and albumin (16%). In multivariate analysis, elevated CRP was an independent predictor of toxicity (p = 0.047). CONCLUSION: Abnormal basal energy metabolism identifies patients at higher risk of treatment-related acute complications.

Relation between hypermetabolism, cachexia, and survival in cancer patients: a prospective study in 390 cancer patients before initiation of anticancer therapy.

Background: Cachexia is a major cause of death in cancer patients. The role of hypermetabolism in cancer cachexia remains unclear.Objective: We studied the relation between resting energy expenditure (REE), the estimated energy balance, clinical and biological markers of cachexia, and survival.Design: REE was measured with the use of indirect calorimetry in cancer patients before the initiation of anticancer therapies. Hypermetabolic, normometabolic, and hypometabolic patients were identified with the use of Boothby's standard. Weight loss, performance status (PS), C-reactive protein (CRP), albumin, the nutritional risk index, daily energy intake, energy balance (equal to daily energy intakes minus the REE), and survival were recorded.Results: Of 390 enrolled patients, 49% of subjects were hypermetabolic, 30% of subjects were normometabolic, and 21% of subjects were hypometabolic. Mean daily energy intakes did not differ significantly between the 3 groups. Hypermetabolic patients, compared with normometabolic patients, were more likely to have a negative energy balance [45% compared with 32%, respectively; OR: 1.74 (95% CI: 1.05, 2.91); P = 0.024], weight loss >5% [48% compared with 34%, respectively; OR: 1.83 (95% CI: 1.11, 3.04); P = 0.013], PS ≥2 [40% compared with 29%, respectively; OR: 1.70 (95% CI: 1.01, 2.88); P = 0.038], and CRP concentrations ≥10 mg/L [52% compared with 33%, respectively; OR: 2.2 (95% CI: 1.33, 3.66); P = 0.001]. In metastatic patients, compared with normometabolism, hypermetabolism was associated with a reduced median survival [14.6 compared with 21.4 mo, respectively; OR: 1.48 (95% CI: 1.01, 2.17); P = 0.044].Conclusions: Hypermetabolism is correlated with clinical and biological markers of cancer cachexia and is associated with a shorter survival in metastatic cancer patients. The development of therapeutic strategies that aim to blunt hypermetabolism appears warranted. This trial was registered at www.controlled-trials.com as ISRCTN46152275.