Relationship between energetic gap and sensitivity to anti-programmed cell death 1 immune checkpoint inhibitors in non-small cell lung cancer patients: The ELY-2 study.

BACKGROUND & AIMS: We previously reported in the ELY prospective study that increased resting energy expenditure (REE) - so-called hypermetabolism - worsened tumor response, 6-month progression-free (PFS) and overall survival (OS) in metastatic non-small cell lung cancer (mNSCLC) patients treated with immune checkpoint inhibitors (ICI). Here, we investigated the effect of caloric coverage on the sensitivity to ICI. METHODS: We retrospectively analysed a multicentric database of mNSCLC patients treated with ICI. All patients had a baseline nutritional assessment including REE measured with indirect calorimetry and a dietitian estimation of food intakes. Measured/theoretical REE ≥110% defined hypermetabolism. Intakes ≥90% of estimated needs defined caloric coverage. The primary endpoint was PFS. Secondary endpoints included response rate and OS. RESULTS: Among 162 patients, 84 (51.9%) were normometabolic, and 78 (48.1%) hypermetabolic. In hypermetabolic patients, 40 (51.3%) met their caloric needs (group A) while 38 (48.7%) did not (group B). Median PFS was 4.3 vs. 1.9 months in groups A and B, respectively (HR: 0.49, 95%CI [0.31-0.80], p = 0.004). The PFS achieved in the group A and in normometabolic patients were similar (HR: 0.99, 95%CI [0.65-1.51], p = 0.95). In multivariate analysis, caloric coverage was independently associated with improved PFS in hypermetabolic patients (HR: 0.56, 95%CI [0.31-0.99], p = 0.048). Among hypermetabolic patients, the median OS was higher in the group A (HR: 0.58, 95%CI [0.35-0.95], p = 0.03). CONCLUSION: Energy supply is a critical determinant of the sensitivity to ICI in NSCLC patients. A randomized study to evaluate the benefit of early nutritional intervention is warranted.

Relationship between the creatinine/cystatin C ratio and muscle mass measured by CT-scan in cancer patients.

BACKGROUND: Sarcopenia is observed in about 50% of cancer patients. Cancer-related sarcopenia negatively affects survival and is a predictive factor of anticancer drug toxicity. Sarcopenia diagnosis is challenging in routine care. We investigated whether plasma creatinine and cystatin C predict sarcopenia diagnosis in the specific population of cancer patients. METHODS: Two common diagnostic criteria of cancer-related sarcopenia based on skeletal muscle mass ± handgrip strength were separately applied as the "gold standard" sarcopenia definition. Four sarcopenia indexes based on creatinine and cystatin C values were evaluated: Creatinine/Cystatin C, Glomerular Filter rate (GFR) Cockroft-Gault/GFR CKD-EPI, GFR Cockroft-Gault/GFR Grubb and GFR Cockroft-Gault/GFR simple. The receiver operating characteristic (ROC) curves and the area under the ROC curves were applied to evaluate the sarcopenia diagnostic accuracy of the four different sarcopenia indexes. RESULTS: A total of 99 patients were included. Among them, 47.5% were overweight or obese. The ratio creatinine/cystatin C (ratio value at 0.8) more accurately predicts the diagnosis of sarcopenia in the entire population based on low skeletal muscle mass and low handgrip strength (sensitivity, specificity, accuracy and Youden index at 0.77, 0.57, 0.90, 0.34 respectively). The other evaluated ratios predict sarcopenia with a lower specificity in all conditions. In the overweight/obese group, the results are similar. The ratio creatinine/cystatin C (ratio value at 1) accurately predicts sarcopenia with a sensitivity, a specificity, an accuracy and a Youden index at 0.50, 0.86, 0.95, 0.36 respectively in overweight/obese population. CONCLUSIONS: The creatinine/cystatin C ratio is a useful and simple biomarker to predict sarcopenia in cancer patients. Moreover, this sarcopenia index also seems to be a strong sarcopenia diagnosis biomarker in overweight and obese cancer patients. Our results must be confirmed in a larger cohort.

Association of Energy Expenditure and Efficacy in Metastatic Renal Cell Carcinoma Patients Treated with Nivolumab.

Background: Nivolumab improved patients' survival in metastatic renal cell carcinoma (mRCC). We aimed to evaluate resting energy expenditure (REE) (i.e., patients' basal metabolism) to predict efficacy. Methods: We conducted a monocentric, observational study of mRCC patients receiving nivolumab between October 2015 and May 2020. REE was measured prior to initiating immunotherapy using indirect calorimetry to determine hypo, normo and hypermetabolism. Primary endpoint was 6-month, progression-free survival (PFS), and secondary endpoints were response rate, PFS and overall survival (OS). Results: Of the 51 consecutive patients, 15 (29%) were hypermetabolic, 24 (47%) normometabolic, and 12 (24%) hypometabolic. The 6-month PFS was 15% for hypermetabolic patients and 65% for non-hypermetabolic patients (p < 0.01). In the multivariate analysis, hypermetabolism was the only baseline factor predicting 6-month PFS (OR 9.91, 95%CI [1.62−60.55], p = 0.01). Disease progression was noted as the best response in 73% of hypermetabolic patients and 26% of non-hypermetabolic patients (p = 0.02). Median PFS was 2.8 and 8.7 months (p < 0.01), and median OS was 20.2 and 35.1 months (p = 0.13) in the hypermetabolic and non-hypermetabolic groups, respectively. Conclusions: Our study identifies an association between mRCC patients' energy expenditure and nivolumab efficacy. The measurement of REE by indirect calorimetry in routine practice could help identify patients at risk of nivolumab failure.

Energy expenditure profiles and the risk of early limiting toxicity in older patients with cancer: The ELCAPA-25 prospective cohort survey.

BACKGROUND & AIMS: Predicting the risk of early limiting toxicity (ELT) is major challenge for the clinician seeking an effective, safe treatment for older patients with cancer. The Cancer and Aging Research Group (CARG) and CRASH (Chemotherapy Risk Assessment Scale for High-Age Patients) toxicity scores were designed to predict chemotherapy-related toxicity. Elevated resting energy expenditure (REE) may predispose to cachexia and increase ELT and mortality in older patients with cancer. The primary objective was to assess the association between elevated REE and ELT in older patients with cancer. The secondary objectives were to assess the discriminant ability of a predictive model including REE (relative to the CARG and CRASH scores) and the prognostic value of elevated REE. METHODS: We assessed patients aged 70 or over included in the prospective ELCAPA cohort between 2014 and 2018. The inclusion criteria were a solid tumour, a measurement of REE at baseline (mREE, by indirect calorimetry), and a geriatric assessment prior to cancer treatment in a teaching hospital (Paris, France). The mREE was compared with the predicted REE (pREE), as defined by the Harris-Benedict equation. Depending on the mREE/pREE ratio, study participants were classified as hypermetabolic, hypometabolic or normometabolic. The primary endpoint was 3-month ELT, defined as any unplanned hospitalization or any event leading to dose reduction, a treatment delay of more than 7 days, or treatment discontinuation within 3 months of initiation. The secondary endpoint was the 3-month mortality rate. RESULTS: A total of 179 patients were included. The median age was 80 [interquartile range: 76-84] years, 37% of the patients were female, 81.8% had metastatic disease, 67.6% received chemotherapy, 20.7% received hormone therapy, and 11.7% received targeted therapies. According to the mREE/pREE ratio, 85 patients (47%) were hypermetabolic, 63 (35%) were normometabolic, and 31 (18%) were hypometabolic. Sixty patients (33.5%; 95% confidence interval (CI): 26.7-40.9) experienced ELT. The discriminant ability (as assessed by the C-index) of a multivariate model including REE and adjustment factors was 0.82 [95%CI: 0.73-0.91]. In comparison, the discriminant ability of the CARG and CRASH models was 0.57 [0.45-0.68] and 0.51 [0.40-0.62], respectively. In our model, hypermetabolism was an independent risk factor for ELT (adjusted odds ratio = 2.44; 95%CI: 1.02-5.80). Other risk factors were the cancer type and stage, the treatment protocol, a clinical diagnosis of depression, the presence of grade 3 or 4 comorbidities, and the serum lactate dehydrogenase level. CONCLUSION: Hypermetabolism status is an independent predictor of ELT in older patients with cancer, relative to normometabolic status. Baseline REE measurement might improve the ELT risk assessment and decision-making process.

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).

Creatinine-to-cystatin C ratio and bioelectrical impedance analysis for the assessement of low lean body mass in cancer patients: Comparison to L3-computed tomography scan.

OBJECTIVES: Lean body mass (LBM) is an important prognostic factor in patients with cancer. Although the L3-computed tomography (CT) scan is considered a reference method for assessment, a convenient and easily available method for longitudinal follow-up is required. Although bioelectrical impedance analysis (BIA) is widely used, its accuracy is questioned; plasma creatinine-to-cystatin C (CC) ratio could be an attractive alternative. The aim of this study was to evaluate the ability of the CC ratio and BIA to detect myopenia in patients with cancer compared with the use of the CT scan as a standard. METHODS: Patients with any kind of cancer had body composition evaluation by CT scan, BIA, and CC. Statistical analysis included correlation test, Bland-Altman, and receiver operating characteristic curve analysis. RESULTS: Forty-four patients (14 women) were included. Of the participants, 59% had myopenia on CT scan. Both BIA LBM and CC ratio were well correlated with CT scan LBM (r = 0.763 and 0.648, respectively) but concordance analysis revealed a 3-kg constant bias toward BIA compared with CT scan. In terms of ability to detect myopenia, areas under the curve (AUC) for BIA were 0.675 and 0.388 for men and women, respectively. For CC ratio, AUCs were 0.813 and 0.673. CONCLUSION: This study demonstrated that LBM assessed by the CC ratio or BIA is well correlated with that determined by L3-CT scan. The ability of the CC ratio to detect myopenia was better than that of BIA. Findings from the present study demonstrated that CC ratio can be conveniently used in patients with cancer as a reliable biomarker of muscularity.

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.

Lean Body Mass and Endocrine Status But Not Age Are Determinants of Resting Energy Expenditure in Patients with Non-Small Cell Lung Cancer.

BACKGROUND: Cancer and aging are both frequently associated with malnutrition, a factor of poor prognosis. In adult cancer patients, this may be related in part to impaired energy metabolism, with higher than predicted resting energy expenditure (REE) in about 50% of patients. We hypothesized that frequently impaired energy metabolism in elderly patients could potentiate cancer-associated hypermetabolism, further promoting risk of malnutrition. OBJECTIVE: To study the hypermetabolic response to cancer in a predominantly aged population and the potential underlying determinants. METHODS: This was a cross-sectional exploratory study in patients with non-small-cell lung cancer. REE was measured by indirect calorimetry. Body composition was determined from a single CT scan imaging at L3 level. Endocrine, inflammatory, nutritional and metabolic status were evaluated. RESULTS: Twenty-seven patients, of median age 68 years (range 32-81) completed the study. In this population, mean measured REE was 7.5% higher than calculated REE. Sex and weight accounted for about 51% of REE variations, whereas age accounted only for 4%. However, these parameters did not explain the REE-to-lean body mass (LBM) ratio variations, suggesting that they influenced REE only through their effect on LBM. Among the other parameters evaluated, only the thyroid-stimulating hormone and interleukin-6 plasma levels appeared to have an influence on REE. The study of the consequences of this increase in REE-to-LBM ratio showed a growing inability of patients to meet their energy needs but showed no effect on nutritional markers such as transthyretin. CONCLUSIONS: The results of this pilot study suggest that in our population, age was not an important factor of REE. The elevated energy metabolism was associated with patients' failure to increase their energy intakes sufficiently, which can contribute to the development of cachexia. CLINICAL TRIAL: This trial is registered at clinicaltrials.gov under NCT0314.

Malnutrition in Patients With Cancer: Comparison of Perceptions by Patients, Relatives, and Physicians-Results of the NutriCancer2012 Study.

BACKGROUND: Malnutrition is a critical predictor of toxicity and outcome in patients with cancer and may be perceived differently by patients, relatives, and physicians. AIMS: To assess the prevalence of malnutrition in oncology departments and to compare it with the perceptions of nutrition status by patients themselves, their closest relatives, and attending physicians. MATERIALS AND METHODS: A 1-day multicentric cross-sectional survey on the prevalence of malnutrition was conducted in different oncology departments using patient-, relative-, and physician-specific questionnaires. Malnutrition was defined by a weight loss ≥5% within 1 month or ≥10% within 6 months, a body mass index ≤18.5 kg/m2 in patients aged <70 years or ≤21 kg/m2 in patients aged ≥70 years, and/or albuminemia <35 g/L. Questionnaires for assessing medical condition, knowledge of nutrition status, and perceptions of the impact of malnutrition on daily life were distributed to consenting patients, attending physicians, and closest relatives. RESULTS: A total of 2197 patients were included, and 2071 and 976 questionnaires were collected from patients and relatives, respectively. Prevalence of malnutrition was 39%. Physicians overestimated malnutrition (44%), whereas patients and relatives underestimated it (22% and 23%, respectively, P < .001). Conversely, malnutrition-associated symptoms were underestimated by physicians compared with patients and relatives. CONCLUSION: We found a prevalence of malnutrition of 39%: it was underestimated by patients and relatives and overestimated by physicians.

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.

Effect of glucuronidation on transport and tissue accumulation of tyrosine kinase inhibitors: consequences for the clinical management of sorafenib and regorafenib.

INTRODUCTION: UDP-glucuronosyltransferases (UGTs) are a multigenic family of enzymes responsible for the glucuronidation reaction. Many therapeutic classes of drugs used in solid tumors are UGT substrates, including cancer therapies. AREAS COVERED: This article describes the tyrosine kinase inhibitors (TKIs) undergoing hepatic glucuronidation; its effect on transport and tissue accumulation and the clinical consequences of this particular metabolism. A PubMed search concerning the pharmacokinetics of the TKIs was performed. All are extensively metabolized by CYP450. Two TKIs, sorafenib and regorafenib, also have a major UGT-mediated metabolism and were therefore studied. EXPERT OPINION: The prescription of the same dose of sorafenib and regorafenib for all patients may be inappropriate since at each enzymatic step of this multistep metabolism inter-individual fluctuations exist. Having a non-exclusive CYP-mediated route of metabolism may reduce the risk of variability in drug exposure when CYP3A4 substrates are concomitantly given. Several clinical consequences derive from this pharmacokinetic particularity of sorafenib and regorafenib. Since no clear difference distinguishes TKIs in efficacy in large randomized trials, the differences for the clinical management of their toxicity is a critical aspect.

Investigational therapies up to Phase II which target PDGF receptors: potential anti-cancer therapeutics.

INTRODUCTION: The platelet-derived growth factor receptor (PDGFR) pathway has important functions in cell growth and, by overexpression or mutation, could also be a driver for tumor development. Moreover, PDGFR is expressed in a tumoral microenvironment and could promote tumorigenesis. With these biological considerations, the PDGFR pathway could be an interesting target for therapeutics. Currently, there are many molecules under development that target the PDGFR pathway in different types of cancer. AREAS COVERED: In this review, the authors report the different molecules under development, as well as those approved albeit briefly, which inhibit the PDGFR pathway. Furthermore, the authors summarize their specificities, their toxicities, and their development. EXPERT OPINION: Currently, most PDGFR kinase inhibitors are multikinase inhibitors and therefore do not simply target the PDGFR pathway. The development of more specific PDGFR inhibitors could improve drug efficacy. Moreover, selecting tumors harboring mutations or amplifications of PDGFR could improve outcomes associated with the use of these molecules. The authors believe that new technologies, such as kinome arrays or pharmacologic assays, could be of benefit to understanding resistance mechanisms and develop more selective PDGFR inhibitors.

Drug safety evaluation of sorafenib for treatment of solid tumors: consequences for the risk assessment and management of cancer patients.

INTRODUCTION: Sorafenib is a multi-tyrosine kinase inhibitor (TKI). Considerable clinical experience has been accumulated since its first Phase III clinical trial in metastatic renal cancer patients in 2007. The management of its early acute toxicity in fit patients is well known. The management of prolonged treatment becomes the new challenge. AREAS COVERED: Using sorafenib as a key word for PubMed search, we review preclinical and clinical data and discuss the pharmacokinetics and pharmacodynamics of sorafenib, its acute and cumulative toxicities and their consequences for patient management. EXPERT OPINION: The systematic multi-disciplinary risk assessment of cancer patients prior to TKI initiation reduces the risks of acute and late toxicity, especially drug-drug interactions and arterial risks. Sarcopenia is now identified as a major risk of severe toxicity. The very diverse clinical pictures of cumulative toxicity must be known. The monitoring of sorafenib systemic exposure is helpful especially in elderly patients. Moreover, at disease progression, it allows distinguishing between underexposure to sorafenib and truly acquired resistance to the drug. The optimal use of sorafenib should allow improving the reported results of flat-dose. Finally, most of this knowledge could be used for the development and optimal use of the other TKIs.

Nutritional status is superior to the ECOG performance status in predicting the dose-intensity of the GEMOX chemotherapy regimen in patients with advanced cancer.

The increasing number of unfit patients calls for better risk assessment prior to initiating anti-tumor treatment. This is a major concern in the prevention and reduction of treatment-related complications. The aim of our study was to evaluate the nutritional status for the risk assessment of patients qualifying to receive the gemcitabine and oxaliplatin (GEMOX) regimen. This single-center, retrospective study examined baseline clinical and biological characteristics in a cohort of 165 unselected, consecutive cancer patients receiving GEMOX. Malnutrition was defined as either body mass index (BMI) <18.5 kg/m(2), body weight loss >10% over 3 mo, or albuminemia <35 g/L. A total of 165 patients (median age 61 yr, PS 0-1: 71%) were studied. Malnutrition was seen in 43% of PS 0-1 patients, vs. 60% of PS 2 and 66% of PS 3 patients (P > 0.05). Median relative dose-intensity was 0.90 (0.17-1.04). GEMOX dose-intensity correlated negatively with loss of baseline weight (r = -0.24, P < 0.02). In patients who did not complete more than 2 cycles of chemotherapy, median PS (P < 0.01), mean C-reactive protein (CRP; P < 0.01), and mean albuminemia (P < 0.05) were, respectively, significantly higher, higher, and lower. Malnutrition is associated with a high risk of early discontinuance of treatment. Systematic basal evaluation of the nutritional status, including albuminemia and BMI, is recommended.

Cost effectiveness of integrated medicine in patients with cancer receiving anticancer chemotherapy.

PURPOSE: Ambulatory chemotherapy is patient friendly but may result in toxicity-induced unscheduled hospitalizations (TIUHs). This emerging issue may increase health care costs. We studied the cost effectiveness of a hospital-home monitoring program based on systematic iterative telephone calls after chemotherapy. PATIENTS AND METHODS: We retrospectively evaluated the rates of chemotherapy-induced unscheduled hospitalizations in patients who were treated in August 2008. Patients were contacted by telephone 1 day before chemotherapy and on the second and eighth days after undergoing chemotherapy. Costs associated with TIUHs were calculated and compared with those of a cohort concomitantly treated using the standard follow-up procedure. RESULTS: A total of 259 patients entered the hospital-home monitoring program. They were compared with 86 patients who had similar characteristics but underwent the standard treatment and follow-up procedure. Inclusion in the hospital-home monitoring program resulted in patients experiencing TIUHs approximately half as frequently as patients in the other group (2.4% v 4.9%; P < .01). Patients in the program experienced TIUHs for a median length of stay of 4 days, representing a nonsignificant reduction in duration of hospitalization (P not significant). Consequently, through a two-fold reduction in TIUH annual incidence, this program represents a reduction in unscheduled hospitalizations per year of 383 days, decreasing hospital costs by €201.468 ($292,468) per year. CONCLUSION: The hospital-home monitoring program is a cost-effective strategy for offering ambulatory chemotherapy treatment to patients with cancer. This program has become our standard procedure for ambulatory chemotherapy in patients with cancer.

Early sorafenib-induced toxicity is associated with drug exposure and UGTIA9 genetic polymorphism in patients with solid tumors: a preliminary study.

BACKGROUND: Identifying predictive biomarkers of drug response is of key importance to improve therapy management and drug selection in cancer therapy. To date, the influence of drug exposure and pharmacogenetic variants on sorafenib-induced toxicity remains poorly documented. The aim of this pharmacokinetic/pharmacodynamic (PK/PD) study was to investigate the relationship between early toxicity and drug exposure or pharmacogenetic variants in unselected adult outpatients treated with single-agent sorafenib for advanced solid tumors. METHODS: Toxicity was recorded in 54 patients on days 15 and 30 after treatment initiation and sorafenib exposure was assessed in 51 patients. The influence of polymorphisms in CYP3A5, UGT1A9, ABCB1 and ABCG2 was examined in relation to sorafenib exposure and toxicity. Clinical characteristics, drug exposure and pharmacogenetic variants were tested univariately for association with toxicities. Candidate variables with p<0.1 were analyzed in a multivariate analysis. RESULTS: Gender was the sole parameter independently associated with sorafenib exposure (p = 0.0008). Multivariate analysis showed that increased cumulated sorafenib (AUC(cum)) was independently associated with any grade ≥ 3 toxicity (p = 0.037); UGT1A9 polymorphism (rs17868320) with grade ≥ 2 diarrhea (p = 0.015) and female gender with grade ≥ 2 hand-foot skin reaction (p = 0.018). Using ROC curve, the threshold AUC(cum) value of 3,161 mg/L.h was associated with the highest risk to develop any grade ≥ 3 toxicity (p = 0.018). CONCLUSION: In this preliminary study, increased cumulated drug exposure and UGT1A9 polymorphism (rs17868320) identified patients at high risk for early sorafenib-induced severe toxicity. Further PK/PD studies on larger population are warranted to confirm these preliminary results.

Sarcopenia predicts early dose-limiting toxicities and pharmacokinetics of sorafenib in patients with hepatocellular carcinoma.

BACKGROUND: Sorafenib induces frequent dose limiting toxicities (DLT) in patients with advanced hepatocellular carcinoma (HCC). Sarcopenia has been associated with poor performance status and shortened survival in cancer patients. PATIENTS AND METHODS: The characteristics of Child Pugh A cirrhotic patients with HCC receiving sorafenib in our institution were retrospectively analyzed. Sorafenib plasma concentrations were determined at each visit. Toxicities were recorded during the first month of treatment, and sarcopenia was determined from baseline CT-scans. RESULTS: Forty patients (30 males) were included. Eleven (27.5%) were sarcopenic. Eighteen patients (45%) experienced a DLT during the first month of treatment. Sarcopenic patients experienced significantly more DLTs than non-sarcopenic patients did (82% versus 31%, p = 0.005). Grade 3 diarrhea was significantly more frequent in sarcopenic patients than in non-sarcopenic patients (45.5% versus 6.9%, p = 0.01), but not grade 3 hand foot syndrome reaction (9% versus 17.2%, p = 1). On day 28, median sorafenib AUC (n = 17) was significantly higher in sarcopenic patients (102.4 mg/l.h versus 53.7 mg/l.h, p = 0.013). CONCLUSIONS: Among cirrhotic Child Pugh A patients with advanced HCC, sarcopenia predicts sorafenib exposure and the occurrence of DLT within the first month of treatment.