Resting energy metabolism and anticancer treatments

Resting energy expenditure changes after antineoplastic treatment in gynecological cancer: a prospective pilot study

Introduction

Introduction: energy metabolism in cancer patients is influenced by different factors. However, the effect of antineoplastic treatment is not clear, especially in women. Objective: to evaluate resting energy expenditure (REE) by indirect calorimetry (IC) before (T0) and after (T1) first cycle period of antineoplastic therapy: radiotherapy (RT), chemotherapy (CT), and concomitant chemoradiation therapy (CRT), quality of life (QoL) and accuracy of REE were compared with international guidelines recommendations per kilogram (European Society for Clinical Nutrition and Metabolism [ESPEN]). Methods: an observational, longitudinal study was conducted in women with gynecological cancer diagnosis undergoing antineoplastic treatment: RT, CT and CRT. Weight loss, actual body weight and height were measured. REE was evaluated in T0-T1 and compared with ESPEN recommendations. Kruskal-Wallis test and Bland-Alman analysis were used to determine the agreement (± 10 % of energy predicted) of REE adjusted by physical activity (TEE) compared with ESPEN recommendations, respectively. Results: fifty-four women with cancer were included: 31.5 % (n = 17) for RT group, 31.5 % (n = 17) for CT group and 37 % (n = 20) for CRT group. REE showed statistical differences between T0 and T1 in the total population (p = 0.018), but these were not associated with anticancer therapy groups (p > 0.05). QoL had no significant changes after treatment (p > 0.05). Accuracy of 25 and 30 kcal/kg compared to TEE was less than 30 %. Conclusion: REE in women with gynecological cancer decreased after antineoplastic treatments but this is not associated with a particular antineoplastic therapy. It is needed to develop research to determine the accuracy of ESPEN recommendations with TEE estimated by IC and clinical factors in women with cancer.

[Nutritional supportive care in the course of patients with esophagogastric cancers]

Supportive care plays a central role in the management of patients with esophagogastric cancers, at all disease stages. Malnutrition has a high prevalence in this population, reaching up to 60 % of the patients. Sarcopenia and cachexia are also common. These complications have negative impact on functional abilities, quality of life and overall survival. They impair anti-tumor treatments effectiveness and increase their toxicity. Early detection and management are needed, before reaching advanced stages, which are refractory to therapeutic interventions. Specific nutritional support is recommended, relying on different nutritional support tools (dietetic counseling, oral supplements, artificial nutrition), depending on the clinical situation. When artificial nutrition is recommended, enteral nutrition (nasogastric tube, gastrostomy or jejunostomy) should be preferred. When enteral nutrition is impossible or insufficient, parenteral nutrition could be necessary. For patients with advanced esophagogastric cancers, digestive prostheses and decompressive radiation therapy may have a symptomatic benefit on dysphagia. Adapted physical activity is also recommended at all stages of cancer care and ongoing clinical trials will help to specify its modalities and to optimize its place in the therapeutic strategy. Finally, psychosocial support could be useful. A combined approach of these different interventions on the nutritional, physical and psychological aspects is beneficial for patients with esophagogastric cancers. This multimodal and multidisciplinary approach applies to both the early stages of the disease, with prehabilitation and/or rehabilitation to reduce perioperative morbidity and mortality and the advanced stages, with a benefit on survival and quality of life, in parallel with anti-tumor treatments.

Determining the factors affecting energy metabolism and energy requirement in cancer patients

Cancer is the second most common cause of death worldwide. It is a generic name for a large group of diseases that can affect any part of the body. Cancer affects both energy intake through the diet and the total energy expenditure (TEE) through the changes in energy metabolism, resulting in negative or positive energy balance. Determining daily energy requirement is very important in the regulation of the nutrition therapy in a cancer patients. Due to the difficulty in directly measuring the TEE, resting energy expenditure, which is the largest component of the TEE, is often used in the determination of the energy requirement. In this study, the effects of disease-specific factors such as tumor burden, inflammation, weight loss and cachexia on energy metabolism in cancer patients were investigated.

Development and validation of a host-dependent, PDL1-independent, biomarker to predict 6-month progression-free survival in metastatic non-small cell lung cancer (mNSCLC) patients treated with anti-PD1 immune checkpoint inhibitors (ICI) in the CERTIM Cohort: The ELY study

Background

Immune checkpoint inhibitors (ICI) are dramatically active in a minority of non-small cell lung cancer (NSCLC) patients. We studied here the relationship between patients's metabolism and outcome under ICI.

Methods

Metastatic NSCLC patients underwent a nutritional assessment prior to initiating immunotherapy. Resting energy expenditure (REE) was measured (mREE) using ambulatory indirect calorimetry and compared with the theoretical value (tREE) provided by the Harris and Benedict formula. The primary endpoint was 6-month progression-free survival (PFS). Secondary endpoints included objective response rate (ORR) and disease control rate (DCR) based on investigator review per RECIST v1.1. and overall survival (OS). The association of patient's metabolism with 6-month PFS was first explored in a single-center training cohort to estimate the effect size. The relationship between patient's metabolism and 6-month PFS was then tested in an independent non interventional observational prospective cohort (ELY) of 100 patients recruited in two tertiary university centers.

Findings

In the entire cohort, the ORR was 14% for the hypermetabolic group (n = 10/74) vs 38% for the normometabolic group (n = 26/68), respectively (estimated difference 25%, 95CI 9–40%, p = 0.001). The DCR was 28% for the hypermetabolic group (n = 21/74) vs 53% for the normometabolic group (n = 36/68), respectively (estimated difference 25%, 95CI 7–42%, p = 0.005). In the validation cohort (100 patients, 2 centers), normometabolic patients (defined as mREE/tREE < 110%) had increased 6-month PFS (57% versus 22%; odds ratio: 4.76; IC95 [1.87 – 12.89]; p<0.001) and improved overall survival (HR 2.20; IC95: 1.41–3.44; p<0.001). The positive and negative predictive values of normometabolism to identify non-progressive patients at 6 months, were 57% and 78% respectively, sensitivity was 72% and specificity was 66%. In multivariate analysis including PD-L1 tumor status, basal metabolism was an independent predictive factor for 6-month PFS.

Interpretation

Normometabolism is a new independent parameter to identify mNSCLC patients who will benefit from ICI, with both improved tumor response, 6-month PFS, and survival.

Funding

This work was supported by Baxter (04012016).

The centenary of the Harris-Benedict equations: How to assess energy requirements best? Recommendations from the ESPEN expert group

BACKGROUND & AIMS

The year 2019 marked the centenary of the publication of the Harris and Benedict equations for estimation of energy expenditure. In October 2019 a Scientific Symposium was organized by the European Society for Clinical Nutrition and Metabolism (ESPEN) in Vienna, Austria, to celebrate this historical landmark, looking at what is currently known about the estimation and measurement of energy expenditure.

METHODS

Current evidence was discussed during the symposium, including the scientific basis and clinical knowledge, and is summarized here to assist with the estimation and measurement of energy requirements that later translate into energy prescription.

RESULTS

In most clinical settings, the majority of predictive equations have low to moderate performance, with the best generally reaching an accuracy of no more than 70%, and often lead to large errors in estimating the true needs of patients. Generally speaking, the addition of body composition measurements did not add to the accuracy of predictive equations. Indirect calorimetry is the most reliable method to measure energy expenditure and guide energy prescription, but carries inherent limitations, greatly restricting its use in real life clinical practice.

CONCLUSIONS

While the limitations of predictive equations are clear, their use is still the mainstay in clinical practice. It is imperative to recognize specific patient populations for whom a specific equation should be preferred. When available, the use of indirect calorimetry is advised in a variety of clinical settings, aiming to avoid under-as well as overfeeding.

Resistance to cancer immunotherapy in metastatic renal cell carcinoma

The prognosis of metastatic clear cell renal cell carcinoma (mccRCC) has changed dramatically over the years with the emergence of immune checkpoint inhibitors (ICI) used alone, or in combination with another ICI, or with vascular endothelial growth factor receptor tyrosine kinase inhibitor. Although major response rates have been observed with ICI, many patients do not respond, reflecting primary resistance, and durable responses remain exceptional, reflecting secondary resistance. Factors contributing to primary and acquired resistance are manifold, including patient-intrinsic factors, tumor cell-intrinsic factors and factors associated with the tumoral microenvironment (TME). While some mechanisms of resistance are common to several tumor types, others are specific to mccRCC. Predictive biomarkers and alternative strategies are needed to overcome this resistance. This review provides an overview of the major ICI resistance mechanisms, highlights the potential of the TME to induce resistance to ICI, and discusses the predictive biomarkers available to guide therapeutic choice.

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.

Do immune checkpoint inhibitors perform identically in patients with weight extremes?

The interaction between the two recent hallmarks of carcinogenesis, the immune system and energetic metabolism, has not been well investigated. The limited literature available on this topic describes a correlation between the efficacy and safety of immune checkpoint inhibitors with body mass index. A key knowledge gap is the understanding of this correlation as outcomes are strongly affected highlighting the need to prospective studies in this regard. This paper evaluates the rationale to these correlations at weight extremes and suggests the evaluation patient's weights and associated inflammatory profile before the initiation of immune checkpoint inhibition in cancer patients.

Body composition and sarcopenia: The next-generation of personalized oncology and pharmacology?

Body composition has gained increasing attention in oncology in recent years due to fact that sarcopenia has been revealed to be a strong prognostic indicator for survival across multiple stages and cancer types and a predictive factor for toxicity and surgery complications. Accumulating evidence over the last decade has unraveled the "pharmacology" of sarcopenia. Lean body mass may be more relevant to define drug dosing than the "classical" body surface area or flat-fixed dosing in patients with cancer. Since sarcopenia has a major impact on patient survival and quality of life, therapeutic interventions aiming at reducing muscle loss have been developed and are being prospectively evaluated in randomized controlled trials. It is now acknowledged that this supportive care dimension of oncological management is essential to ensure the success of any anticancer treatment. The field of sarcopenia and body composition in cancer is developing quickly, with (i) the newly identified concept of sarcopenic obesity defined as a specific pathophysiological entity, (ii) unsolved issues regarding the best evaluation modalities and cut-off for definition of sarcopenia on imaging, (iii) first results from clinical trials evaluating physical activity, and (iv) emerging body-composition-tailored drug administration schemes. In this context, we propose a comprehensive review providing a panoramic approach of the clinical, pharmacological and therapeutic implications of sarcopenia and body composition in oncology.