Literature DB >> 23462722

Sarcopenia and body mass index predict sunitinib-induced early dose-limiting toxicities in renal cancer patients.

O Huillard1, O Mir, M Peyromaure, C Tlemsani, J Giroux, P Boudou-Rouquette, S Ropert, N Barry Delongchamps, M Zerbib, F Goldwasser.   

Abstract

BACKGROUND: Little is known on factors predicting sunitinib toxicity. Recently, the condition of low muscle mass, named sarcopenia, was identified as a significant predictor of toxicity in metastatic renal cell cancer (mRCC) patients treated with sorafenib. We investigated whether sarcopenia could predict early dose-limiting toxicities (DLTs) occurrence in mRCC patients treated with sunitinib.
METHODS: Consecutive mRCC patients treated with sunitinib were retrospectively reviewed. A DLT was defined as any toxicity leading to dose reduction or treatment discontinuation. Body composition was evaluated using CT scan obtained within 1 month before treatment initiation.
RESULTS: Among 61 patients eligible for analysis, 52.5% were sarcopenic and 32.8% had both sarcopenia and a body mass index (BMI)<25 kg m(-2). Eighteen patients (29.5%) experienced a DLT during the first cycle. Sarcopenic patients with a BMI<25 kg m(-2) experienced more DLTs (P=0.01; odds ratio=4.1; 95% CI: (1.3-13.3)), more cumulative grade 2 or 3 toxicities (P=0.008), more grade 3 toxicities (P=0.04) and more acute vascular toxicities (P=0.009).
CONCLUSION: Patients with sarcopenia and a BMI<25 kg m(-2) experienced significantly more DLTs during the first cycle of treatment.

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Year:  2013        PMID: 23462722      PMCID: PMC3619075          DOI: 10.1038/bjc.2013.58

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Renal cancer accounts for more than 64 000 new cases per year in the Unites States, and causes approximately 13 500 deaths yearly (Siegel ). Worldwide incidence and mortality rates are rising at approximately 2–3% per decade (Gupta ). Sunitinib (Sutent; Pfizer, New York, NY, USA) is an orally active, multi-targeted inhibitor of VEGFR1-3, PDGFR, KIT, FLT3, CSF-1 and RET (Chow and Eckhardt, 2007), approved for the treatment of metastatic renal cell cancer (mRCC; Motzer ). Importantly, sunitinib-induced toxicities (mainly diarrhoea, hand-foot syndrome, fatigue and hypertension) may limit the patient's ability to receive full-dose treatment. In the sunitinib arm of the pivotal phase III trial, these toxicities resulted in dose reductions in 50% and treatment termination in 19% of the patients (Motzer ). Little is known on factors predicting sunitinib toxicity. Polymorphisms in CYP3A5 (rs776746) might identify a subset of patients prone to toxicity-related dose reductions (Garcia-Donas ). However, these polymorphisms are not routinely assessed in daily practice. Recently, the condition of low muscle mass, named sarcopenia (Cruz-Jentoft ; Fearon ), has been studied in cancer patients, in whom sex-specific cut-off values based on mortality risks have been determined (Prado ). Sarcopenia is a significant predictor of toxicity in mRCC patients treated with sorafenib (an orally active multi-kinase inhibitor that targets BRAF, RET, PDGFR-b, VEGFR-1 and VEGFR-2 (Wilhelm )), in particular those with a body mass index (BMI)<25 kg m−2 (Antoun ). As well, sarcopenia predicts treatment-induced toxicity in hepatocellular carcinoma patients treated with sorafenib (Mir ). The purpose of the present analysis was to investigate whether sarcopenia could predict the occurrence of early dose-limiting toxicities (DLTs) in mRCC patients treated with sunitinib. We hypothesised that an increased toxicity would be observed in sarcopenic patients.

Materials and methods

Participants

We performed a retrospective, electronical, medical record review of all consecutive mRCC patients treated with sunitinib in our institution from June 2006 to March 2012.

Ethics

The study was approved by the local ethics board according to good clinical practice and applicable laws, and the declaration of Helsinki.

Treatment, toxicity and activity assessment

Adult mRCC outpatients received sunitinib at a starting dose of 50 mg per day, 4 weeks/6, 37.5 mg continuous daily dosing (CDD) or 25 mg CDD according to their Eastern Cooperative Oncology Group performance status (ECOG PS) and co-morbidities, at the discretion of the treating physician, as described by other authors (Escudier ; Barrios ). Toxicity was assessed at each visit, every 2 weeks (or before if clinically indicated) during the first cycle, then monthly. In the case of grade 3 or 4 toxicity according to the National Cancer Institute Common Terminology Criteria v3.0, sunitinib was discontinued, except for patients with grade 3 hypertension in whom antihypertensive drugs were introduced according to current guidelines (Izzedine ). Depending on toxicity resolution, sunitinib was resumed at full dose or at decreased doses, or permanently discontinued, at the discretion of the treating physician. A DLT was defined as any toxicity leading to a dose reduction, temporary or permanent discontinuation of treatment. Following the design of a previous study (Prado ), only DLTs occurring during the first cycle of treatment were examined for the present analysis. A cycle of treatment was determined as a period of 6 weeks. Treatment activity was assessed every two cycles by CT scan, or before if clinically indicated, according to RECIST v1.0 (Therasse ).

Anthropometric measurements

Weight was measured with a medical balance beam scale, and height was measured with a stadiometer. The BMI was calculated (weight (kg)/height2 (m2)) and the World Health Organization categories were used: underweight, BMI<18.5; normal, 18.5⩽BMI⩽24.9; overweight, 25⩽BMI⩽29.9; obesity, BMI⩾30. Body surface area (BSA) was calculated using the Mosteller formula: BSA (m2)=((height (cm) × weight (kg))/3600)1/2.

Image analysis

Body composition was evaluated by assessing muscle tissue areas on CT-scan images, as previously described (Heymsfield ; Mitsiopoulos ). CT scans had been performed for diagnostic or follow-up purposes within no more than 30 days before initiation of sunitinib. Images were analysed using ImageJ software v1.42q (National Institutes of Health, http://rsb.info.nih.gov/ij). The third lumbar vertebra (L3) was chosen as a standard landmark, as previously described (Antoun ). Muscles were identified based on their anatomic features, and the structure of those specific muscles was quantified based on pre-established thresholds of skeletal muscle tissue (−29 to +150 Hounsfield units; Mitsiopoulos ). Cross-sectional areas (cm2) of the sum of all of these muscles were computed and the mean value for two consecutive images was computed for each patient. These values were normalised for stature (Mourtzakis ; Prado ) and expressed in units of cm2 m−2. The sex-specific cutoff values for sarcopenia (55.4 cm2 m−2 for males and 38.9  cm2 m−2 for females) determined in cancer patients were used as done by others in mRCC patients (Antoun ). The total lumbar–skeletal muscle cross-sectional area is linearly related to the whole-body muscle (Shen ; Mourtzakis ) and the total lean body mass (LBM) was estimated from muscle cross-sectional areas as described by Mourtzakis : LBM (kg)=(0.30 × (skeletal muscle area at L3 using CT (cm2))+6.06). As the body composition analysis was done a posteriori, treating physicians were blinded to patients' body composition status (sarcopenic or not).

Statistical analysis

Prevalence of toxicity was compared using Fisher's exact test, and Mann–Whitney's test was used for the comparison of continuous variables. All P-values were two-sided, and the level of significance was P<0.05. Multivariate analysis of factors predicting early DLTs was conducted using logistic regression with 3000 bootstrap iterations, including only factors predicting the occurrence of DLTs with a P-value<0.05 by univariate analysis. Progression-free survival (PFS) and overall survival (OS) were measured from the date of first treatment administration to the date of disease progression or death for the former, and the date of death for the latter. Kaplan–Meier estimates of the distribution of times from baseline to outcome were computed, and the groups were compared using the log-rank test. Calculations were performed with NCSS 2007 software (NCSS, Kaysville, UT, USA).

Results

Patients' characteristics

From June 2006 to March 2012, 84 mRCC patients received sunitinib, among which 61 (73%) met all criteria for study analysis (Figure 1).
Figure 1

Patients selection for analysis.

Baseline characteristics of patients treated with sunitinib are presented in Table 1. Briefly, 32 patients (52.5%) were sarcopenic and 20 (32.8%) were sarcopenic, and had a BMI <25 kg m−2. The variables needed to assign a Memorial Sloan Kettering Cancer Center (MSKCC) risk score were missing for 11 patients, and those needed to assign a Heng score were missing for 15 patients. Some patients could be correctly assigned even with some missing data; for the others the most likely values were derived.
Table 1

Baseline characteristics of patients treated with sunitinib

CharacteristicsMales (n=38)Females (n=23)Total (n=61)
Age (years), median (range)
60 (29–83)
59 (30–79)
60 (29–83)
ECOG PS, n (%)
014 (36.8)5 (21.7)19 (31.2)
119 (50)12 (52.2)31 (50.8)
⩾2
5 (13.2)
6 (26.1)
11 (18)
Metastatic sites, n (%)
116 (42.1)11 (47.8)27 (44.3)
28 (21.1)6 (26.2)14 (23)
37 (18.4)5 (21.7)12 (19.7)
⩾4
7 (18.4)
1 (4.3)
8 (13)
Specific metastatic sites, n (%)
Lung22 (57.9)11 (47.8)33 (54.1)
Liver2 (5.3)2 (8.7)4 (6.6)
Bone
20 (52.6)
9 (39.1)
29 (47.5)
MSKCC prognostic risk, n (%)
Low risk5 (13.2)5 (21.7)10 (16.4)
Intermediate risk28 (73.6)13 (56.6)41 (67.2)
High risk
5 (13.2)
5 (21.7)
10 (16.4)
Heng prognostic group, n (%)
Favourable5 (13.2)5 (21.7)10 (16.4)
Intermediate23 (60.5)13 (56.6)36 (59)
Poor
10 (26.3)
5 (21.7)
15 (24.6)
Weight (kg), median (range)
78 (50–124)
62 (44–91)
73 (44–124)
BMI (kg m−2), median (range)
25.9 (17.3–43.4)
24.2 (17.1–36.5)
24.9 (17.1–43.4)
Underweight (BMI<18.5), n (%)
2 (5.3)
3 (13)
5 (8.2)
Normal weight (18.5⩽BMI⩽24.9), n (%)
14 (36.8)
13 (56.5)
27 (44.3)
Overweight (25⩽BMI⩽29.9), n (%)
12 (31.6)
4 (17.5)
16 (26.2)
Obese (30⩽BMI), n (%)
10 (26.3)
3 (13)
13 (21.3)
LBM (kg), median (range)
49.3 (32.2–65.9)
33.3 (24.9–40.3)
42.7 (24.9–65.9)
Skeletal muscle L3 area (cm2), median (range)
158 (101–214)
105 (77–128)
136 (77–214)
Skeletal muscle L3 index (cm2 m−2), median (range)
51.6 (35.0–67.5)
40.9 (27.2–47.2)
46.2 (27.2–67.5)
Sarcopenic, n (%)
24 (63.2)
8 (34.8)
32 (52.5)
Sarcopenic and BMI <25, n (%)13 (34.2)7 (30.4)20 (32.8)

Abbreviations: ECOG PS=Eastern Cooperative Oncology Group performance status; MSKCC=Memorial Sloan Kettering Cancer Center; BMI=body mass index (weight/height2); LBM=lean body mass; CT=computed tomography.

LBM calculated from the regression equation: whole LBM (kg)=0.30 × ((skeletal muscle at L3 using CT (cm2))+6.06).

Sunitinib toxicity

Eighteen patients (29.5%) experienced a DLT during the first cycle of treatment (Table 2). In all cases but two, patients had multiple toxic effects of grade 2 and/or 3. Sunitinib was discontinued and resumed either at the same dose in three cases (16.5%) or at a lower dose in eight cases (44.5%). For the seven remaining patients (39%), sunitinib was permanently discontinued. Table 2 shows therapy adjustments and the duration of subsequent sunitinib treatment after the occurrence of a DLT (median for the whole cohort: 31 weeks, range 6–150). Sunitinib was resumed in 40% of patients with sarcopenia and low BMI (for a median duration of 33 weeks, range 16–85), and in 75% of patients in the remaining patients (median duration: 31 weeks, range 6–150), P=0.06.
Table 2

Description of DLTs and therapy adjustments

PatientStarting doseGrade 3 toxicitiesGrade 2 toxicitiesSarcopenia and BMI <25Therapy adjustmentSunitinib after DLT (weeks)
1
37.5 mg CDD
Proteinuria
0
No
37.5 mg CDD
6
2
25 mg CDD and 37.5 mg CDD after 2 weeks
0
Nausea Proteinuria Hypertension Asthenia
Yes
37.5 mg CDD
8
3
50 mg 4w/6
Thrombocytopenia
Hypertension
Yes
37.5 mg CDD
50
4
50 mg 4w/6
MAHA
Asthenia
Yes
PT, switch to temsirolimus
0
5
50 mg 4w/6
Hypothyroidism Asthenia
0
Yes
PT, switch to everolimus
0
6
50 mg 4w/6
Hypertension
Proteinuria
No
37.5 mg CDD
37 (ongoing)
7
37.5 mg CDD
Hand-foot syndrome Stomatitis
Diarrhoea
No
25 mg CDD
21
8
37.5 mg CDD
Asthenia
0
No
25 mg CDD
150
9
50 mg 4w/6
Stomatitis
Thrombocytopenia
No
37.5 mg CDD
22
10
50 mg 4w/6
Proteinuria MAS
Asthenia
No
50 mg 4w/6
33
11
50 mg 4w/6
Asthenia TMA
0
Yes
PT
0
12
50 mg 4w/6
TMA RPLS
Hypertension Asthenia
Yes
PT, switch to temsirolimus
0
13
25 mg CDD
Hypertension
Stomatitis Hypothyroidism Edema
Yes
PT, switch to everolimus
0
14
50 mg 4w/6
Stomatitis Rash
0
Yes
37.5 mg CDD
16 (ongoing)
15
50 mg 4w/6
Haemorrhagic rectocolitis
0
No
PT, switch to sorafenib
0
16
50 mg 4w/6
Asthenia Anorexia
Proteinuria
No
25 mg CDD
31
17
50 mg 4w/6
RLPS Asthenia
0
Yes
PT
0
1850 mg 4w/6NauseaHypertension Hand–foot syndrome AstheniaYes37.5 mg CDD85

Abbreviations: DLT=dose-limiting toxicity; PT=permanent termination; CDD=continuous daily dosing; MAHA=microangiopathic haemolytic anaemia; TMA=thrombotic microangiopathy; MAS=macrophage activation syndrome; RPLS=reversible posterior leukoencephalopathy syndrome; 50 mg 4w/6=50 mg of sunitinib daily, 4 weeks on and 2 weeks off.

The comparison of anthropometric parameters between patients with or without early DLT is summarised in Table 3. Significant differences were observed regarding age (P=0.006), weight (P=0.007), BSA (P=0.004), LBM (P=0.006) and skeletal muscle L3 index (P=0.02). No difference was found regarding BMI or sarcopenia. The prevalence of DLT did not significantly differ in patients receiving 50 mg, 4 weeks/6, or CDD <50 mgper day (P=0.31).
Table 3

Anthropometric measurements in patients with or without early DLTs

VariablePatients with early DLT, mean (s.d.)Patients without early DLT, mean (s.d.)P-value
Females
n=9
n=14
 
Age (years)
62 (14)
56 (12)
0.17
Weight (kg)
62 (12)
66 (13)
0.39
BMI (kg m−2)
24.4 (5.1)
24.5 (5)
0.59
BSA (m2)
1.66 (0.15)
1.73 (0.19)
0.18
LBM (kg)
30.6 (3.8)
35.3 (3.3)
0.01
Skeletal muscle L3 index (cm2 m−2)
37.7 (6.5)
41.4 (4)
0.17
Sarcopenia, n (%)
5 (55.5)
3 (21.4)
0.17
Sarcopenia and BMI <25 kg m−2, n (%)
5 (55.5)
2 (14.2)
0.06
Males
n=9
n=29
 
Age (years)
65.8 (6.2)
57 (12)
0.01
Weight (kg)
72 (14)
86 (17)
0.03
BMI (kg m−2)
24.8 (5.3)
27.6 (5.4)
0.18
BSA (m2)
1.84 (0.17)
2.04 (0.22)
0.02
LBM (kg)
44.9 (8.4)
50.5 (7.1)
0.13
Skeletal muscle L3 index (cm2 m−2)
49.3 (10.4)
52.3 (7.3)
0.30
Sarcopenia, n (%)
7 (77.8)
17 (58.6)
0.43
Sarcopenia and BMI <25 kg m−2, n (%)
5 (55.5)
8 (27.6)
0.22
Total
n=18
n=43
 
Age (years)
64 (11)
56 (12)
0.006
Weight (kg)
67.2 (13.4)
79.4 (18.6)
0.007
BMI (kg m−2)
24.6 (5)
26.6 (5.4)
0.10
BSA (m2)
1.75 (0.18)
1.94 (0.26)
0.004
LBM (kg)
37.7 (9.7)
45.6 (9.4)
0.006
Skeletal muscle L3 index (cm2 m−2)
43.5 (10.3)
48.7 (8.2)
0.02
Sarcopenia, n (%)
12 (66.7)
20 (46.5)
0.17
Sarcopenia and BMI<25 kg m−2, n (%)10 (55.5)10 (23.3)0.01

Abbreviations: DLT=dose-limiting toxicities; BMI=body mass index; BSA=body surface area; LBM=lean body mass. Bold entries indicate statistically significant values (P<0.05).

The comparison between patients with both sarcopenia and BMI <25 kg m−2 with the remaining patients is summarised in Table 4. No difference was found regarding the starting dose, ECOG PS at beginning of treatment or classification according to the MSKCC risk group. Figures 2A and B illustrate the distribution of BMI, muscle index and early DLT for men and women, respectively. Overall, sarcopenic patients with BMI <25 kg m−2 experienced significantly more DLTs (P=0.01; odds ratio=4.1; 95% CI: (1.3–13.3)), more cumulative grade 2 or 3 toxicities (P=0.008) and more grade 3 toxicities (P=0.04) during the first cycle. Permanent termination of sunitinib during the first cycle occurred in 30% of these patients compared with 2.4% of the remaining patients (P=0.01). Of note, acute vascular toxicities (microangiopathic haemolytic anaemia, thrombotic microangiopathy or reversible posterior leukoencephalopathy syndrome) were more frequent during the first cycle of treatment in this subset of patients (P=0.009). By multivariate analysis, the combination of sarcopenia and BMI<25 kg m−2 was the only independent predictor of early DLTs (P=0.04).
Table 4

Comparison between patients with or without sarcopenia and BMI<25 kg m−2, and outcome during first cycle of treatment

 Sarcopenic and BMI<25 kg m−2 (n=20)Non-sarcopenic or BMI>25 kg m−2 (n=41)P-value
Sunitinib starting dose, n (%)
25 or 37.5 mg, CDD2 (10)10 (24.4)0.30
50 mg, 4 weeks/6
18 (90)
31 (75.6)
 
ECOG PS, n (%)
0–114 (70)36 (87.8)0.15
⩾2
6 (30)
5 (12.2)
 
MSKCC prognostic score, n (%)
Low risk2 (10)8 (19.5)0.39
Intermediate risk13 (65)28 (68.3) 
High risk
5 (25)
5 (12.2)
 
Heng prognostic score, n (%)
Favourable1 (5)9 (22)0.07
Intermediate11 (55)25 (61) 
Poor
8 (40)
7 (17)
 
Characteristics, median (range)
Age (years)61 (35–79)58 (29–83)0.46
Weight (kg)64 (50–79)78 (44–124)0.001
Height (m)1.73 (1.58–1.87)1.70 (1.50–1.92)0.44
BMI (kg m−2)23.0 (17.3–24.9)27.1 (17.1–43.4)<0.001
BSA (m2)1.75 (1.54–1.99)1.96 (1.39–2.53)0.009
Haemoglobin (g dl−1)12.1 (7.2–15.2)12.7 (8.4–16.6)0.43
Lymphocytes ( × 106/l)1545 (310–2110)1400 (560–4872)0.93
Platelets ( × 109/l)361 (222–725)271 (124–517)0.06
Albuminaemia (g l−1)40 (26–46)39 (28–45)0.98
CRP (g l−1)32.5 (1–147.1)18 (1–298)0.87
Creatininaemia (μℳ)84.5 (45–136.3)98.5 (53–167.3)0.02
Lumbar skeletal muscle index (cm2 m−2)41.4 (27.2–54.5)47.7 (37.7–67.5)<0.001
LBM (kg)
42.0 (24.9–53.1)
46.7 (32.3–65.9)
0.01
DLT, n (%)
Present10 (50)8 (19.5)0.01
Absent
10 (50)
33 (80.5)
 
Permanent termination of sunitinib owing to toxicity, n (%)
Present6 (30)1 (2.4)0.003
Absent
14 (70)
40 (97.6)
 
Prevalence of selected toxicities, n (%)
Diarrhoea, grade 2–304 (9.8)0.29
Grade 3 diarrhoea001
Hypertension, grade 2–312 (60)14 (34.1)0.09
Grade 3 hypertension6 (30)9 (22)0.53
Asthenia, grade 2–310 (50)16 (39)0.58
Grade 3 asthenia3 (15)4 (9.8)0.67
Hand–foot syndrome, grade 2–32 (10)2 (4.8)0.59
Grade 3 hand–foot syndrome01 (2.4)1
Acute vascular toxicity (MAHA, TMA, RPLS), n (%)4 (20)00.009
Number of grade 2 or 3 toxicities per patient, n (%)  0.008
01 (5)13 (31.7)0.02
15 (25)11 (26.8)1
28 (40)11 (26.8)0.37
32 (10)6 (14.7)1
44 (20)00.009
0-16 (30)24 (58.5)0.055
⩾214 (70)17 (41.5) 
Number of grade 3 toxicities per patient, n (%)  0.04
06 (30)23 (56.1)0.06
18 (40)15 (36.6)1
⩾26 (30)3 (7.3)0.04

Abbreviations: BMI=body mass index; BSA=body surface area; CDD=continuous daily dosing; DLT=dose-limiting toxicity; ECOG PS= Eastern Cooperative Oncology Group criteria performance status; MSKCC=Memorial Sloan Kettering Cancer Center; CRP=C-reactive protein; LBM=lean body mass; MAHA=microangiopathic haemolytic anaemia; TMA=thrombotic microangiopathy; RPLS=reversible posterior leukoencephalopathy syndrome. Bold entries indicate statistically significant values (P<0.05).

Figure 2

Distribution of BMI, muscle index and early DLT. (A) Distribution of BMI, muscle index and early DLT for men. Symbols represent individual patients, filled triangles represent patients with early DLT. (B) Distribution of BMI, muscle index and early DLT for women. Symbols represent individual patients, filled triangles represent patients with early DLT.

Survival analysis

The median PFS and OS for the study population (n=61) were 9.0 (95% CI: 6.4–11.8) and 22.1 months (95% CI: 14.0–26.0), respectively. No significant differences were observed between patients with sarcopenia and BMI<25 kg m−2, and the remaining patients regarding median PFS (7.5 (95% CI: 3.9–10.1) vs 9.4 months (95% CI: 6.3–16.2), respectively; P=0.11; Figure 3A) and median OS (19.3 (95% CI: 14–20) vs 23.5 months (95% CI: 12.5–40.7), respectively; P=0.21; Figure 3B). When considering sarcopenic and non-sarcopenic patients, no significant differences were observed regarding PFS (P=0.71) or OS (P=0.75).
Figure 3

Progression-free survival and overall survival. (A) Progression-free survival in sarcopenic patients with low BMI compared with remaining patients. (B) Overall survival in sarcopenic patients with low BMI compared with remaining patients.

Discussion

This retrospective analysis is the first evaluating the relationship between sarcopenia and early toxicity in patients treated with sunitinib for mRCC. We found that patients with sarcopenia and a BMI<25 kg m−2 experienced significantly more DLTs, more cumulative grade 2 or 3 toxicities and more grade 3 toxicities during the first cycle. Baseline characteristics of patients included in this analysis were similar to those observed in previous studies in mRCC patients (Antoun , 2010b). Indeed, sarcopenic patients and sarcopenic patients with low BMI represented 52.5% and 32.8%, respectively, of all patients in the present cohort. A high proportion of patients experienced early DLTs, probably reflecting the toxicity profile of sunitinib in less-selected patients than those included in clinical trials. We found that low skeletal muscle area (and, therefore, low LBM) was significantly associated with the occurrence of early DLTs (P=0.006), but sarcopenia per se was not predictive for early DLTs (P=0.17). Antoun observed that BMI<25 kg m−2 associated with sarcopenia was a significant predictor of toxicity in mRCC patients treated with sorafenib. Hence, further analyses combining sarcopenia with low BMI were pre-planned. This subset of patients was found to be at particular risk of DLT during the first cycle, with 50% of patients experiencing a DLT, compared with 19.5% among other patients (P=0.01). This difference was related to the occurrence of more cumulative grade 2 or 3 toxicities, more cumulative grade 3 toxicities and more acute vascular toxicities. The sum of several toxicities, which were not individually dose limiting, lead to permanent termination of sunitinib in six patients (30%) with sarcopenia and BMI <25 kg m−2, compared with only one patient (2.4%) in the remaining group (P=0.003). Remarkably, the excessive toxicity observed in patients with sarcopenia and BMI <25 kg m−2 did not translate into a significantly poorer PFS or poorer OS. The first explanation could lie in the fact that, following the occurrence of a DLT sunitinib was resumed in up to 40% of patients with sarcopenia and low BMI, for a median time of 33 weeks (range 16–85). The second potential explanation is that efficient second-line treatment was given to five of the seven patients in whom sunitinib had been permanently withdrawn. The excessive toxicity in patients with both sarcopenia and low BMI observed in this series is in line with previous findings, indicating that both conditions underlie a particular vulnerability to various anti-cancer agents. An association between low BMI and increased toxicity has been reported in a population of 45 patients (85% with mRCC) treated with sunitinib (Telli ). In this population, grade 3 or 4 cardiotoxicity was associated with low BMI (mean 23.9 kg m−2 vs 27.1 kg m−2; P=0.03). Sunitinib toxicity has also been associated with low BSA (a variable conditioned to height and weight, similar to BMI) in 82 advanced RCC patients treated with sunitinib (van der Veldt ). In this population, DLTs occurred in 37 patients and were significantly related to low BSA (P=0.005). Interestingly, low BSA was also significantly associated with early DLT (P=0.002) in the present series. Sarcopenia is associated with an increased toxicity of 5-fluorouracil (Prado ), capecitabine (Prado ), epiribucin (Prado ) and sorafenib (Mir ). Sarcopenia is also associated with poorer survival for obese patients with solid tumours of the lung or gastro-intestinal tract (Prado ), and with increased propensity for nosocomial infection and other complications (Cosqueric ). Finally, an increased toxicity could also be linked to higher drug exposure, in the same way it has been suggested for hepatocellular carcinoma sarcopenic patients treated with sorafenib (Mir ). Indeed, in the phase I trial of sunitinib (Faivre ) most patients with DLT had combined sunitinib and SU012662 (sunitinib major metabolite) through plasma concentrations⩾100 ng ml−1. The main limitations of our study are its retrospective nature and the relatively small number of patients included, which could potentially have biased survival analyses. However, our findings have potentially direct bedside implications, as evaluating sarcopenia on CT scan and BMI calculation are feasible in daily practice. This would enable closer follow-up of patients at risk and, therefore, avoid severe toxicities by early dose adjustments or therapeutic interventions when needed. Conversely, patients devoid of sarcopenia and BMI <25 kg m−2 could probably be treated with full-dose sunitinib without excessive risk, even when ECOG PS exceeds 1. In conclusion, our results highlight the importance of assessing body composition, and suggest that the combination of sarcopenia and low BMI predicts early DLTs in mRCC patients treated with sunitinib.
  28 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Single nucleotide polymorphism associations with response and toxic effects in patients with advanced renal-cell carcinoma treated with first-line sunitinib: a multicentre, observational, prospective study.

Authors:  Jesus Garcia-Donas; Emilio Esteban; Luis Javier Leandro-García; Daniel E Castellano; Aranzazu González del Alba; Miguel Angel Climent; José Angel Arranz; Enrique Gallardo; Javier Puente; Joaquim Bellmunt; Begoña Mellado; Esther Martínez; Fernando Moreno; Albert Font; Mercedes Robledo; Cristina Rodríguez-Antona
Journal:  Lancet Oncol       Date:  2011-10-17       Impact factor: 41.316

3.  Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography.

Authors:  N Mitsiopoulos; R N Baumgartner; S B Heymsfield; W Lyons; D Gallagher; R Ross
Journal:  J Appl Physiol (1985)       Date:  1998-07

Review 4.  Discovery and development of sorafenib: a multikinase inhibitor for treating cancer.

Authors:  Scott Wilhelm; Christopher Carter; Mark Lynch; Timothy Lowinger; Jacques Dumas; Roger A Smith; Brian Schwartz; Ronit Simantov; Susan Kelley
Journal:  Nat Rev Drug Discov       Date:  2006-10       Impact factor: 84.694

Review 5.  Definition and classification of cancer cachexia: an international consensus.

Authors:  Kenneth Fearon; Florian Strasser; Stefan D Anker; Ingvar Bosaeus; Eduardo Bruera; Robin L Fainsinger; Aminah Jatoi; Charles Loprinzi; Neil MacDonald; Giovanni Mantovani; Mellar Davis; Maurizio Muscaritoli; Faith Ottery; Lukas Radbruch; Paula Ravasco; Declan Walsh; Andrew Wilcock; Stein Kaasa; Vickie E Baracos
Journal:  Lancet Oncol       Date:  2011-02-04       Impact factor: 41.316

Review 6.  Human body composition: advances in models and methods.

Authors:  S B Heymsfield; Z Wang; R N Baumgartner; R Ross
Journal:  Annu Rev Nutr       Date:  1997       Impact factor: 11.848

7.  Safety, pharmacokinetic, and antitumor activity of SU11248, a novel oral multitarget tyrosine kinase inhibitor, in patients with cancer.

Authors:  Sandrine Faivre; Catherine Delbaldo; Karina Vera; Caroline Robert; Stéphanie Lozahic; Nathalie Lassau; Carlo Bello; Samuel Deprimo; Nicoletta Brega; Giorgio Massimini; Jean-Pierre Armand; Paul Scigalla; Eric Raymond
Journal:  J Clin Oncol       Date:  2005-11-28       Impact factor: 44.544

8.  Phase II trial of continuous once-daily dosing of sunitinib as first-line treatment in patients with metastatic renal cell carcinoma.

Authors:  Carlos H Barrios; David Hernandez-Barajas; Michael P Brown; Se-Hoon Lee; Luis Fein; Jin-Hwang Liu; Subramanian Hariharan; Bridget A Martell; Jinyu Yuan; Akintunde Bello; Zhixiao Wang; Rajiv Mundayat; Sun-Young Rha
Journal:  Cancer       Date:  2011-09-06       Impact factor: 6.860

9.  Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image.

Authors:  Wei Shen; Mark Punyanitya; ZiMian Wang; Dympna Gallagher; Marie-Pierre St-Onge; Jeanine Albu; Steven B Heymsfield; Stanley Heshka
Journal:  J Appl Physiol (1985)       Date:  2004-08-13

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

Authors:  Olivier Mir; Romain Coriat; Benoit Blanchet; Jean-Philippe Durand; Pascaline Boudou-Rouquette; Judith Michels; Stanislas Ropert; Michel Vidal; Stanislas Pol; Stanislas Chaussade; François Goldwasser
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

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  76 in total

1.  Nutritional Status, Body Surface, and Low Lean Body Mass/Body Mass Index Are Related to Dose Reduction and Severe Gastrointestinal Toxicity Induced by Afatinib in Patients With Non-Small Cell Lung Cancer.

Authors:  Oscar Arrieta; Martha De la Torre-Vallejo; Diego López-Macías; David Orta; Jenny Turcott; Eleazar-Omar Macedo-Pérez; Karla Sánchez-Lara; Laura-Alejandra Ramírez-Tirado; Vickie E Baracos
Journal:  Oncologist       Date:  2015-07-14

2.  The Effects of Neoadjuvant Axitinib on Anthropometric Parameters in Patients With Locally Advanced Non-metastatic Renal Cell Carcinoma.

Authors:  Lisly Chéry; Leonardo D Borregales; Bryan Fellman; Diana L Urbauer; Naveen Garg; Nathan Parker; Matthew H G Katz; Christopher G Wood; Jose A Karam
Journal:  Urology       Date:  2017-07-10       Impact factor: 2.649

3.  Sorafenib in thyroid cancer patients: learning from toxicity.

Authors:  Olivier Huillard; Benoit Blanchet; Pascaline Boudou-Rouquette; Audrey Thomas-Schoemann; Johanna Wassermann; François Goldwasser
Journal:  Oncologist       Date:  2014-07-22

4.  Body Composition in Pediatric Solid Tumors: State of the Science and Future Directions.

Authors:  Lenat Joffe; Keri L Schadler; Wei Shen; Elena J Ladas
Journal:  J Natl Cancer Inst Monogr       Date:  2019-09-01

Review 5.  The Prevalence and Prognostic Value of Low Muscle Mass in Cancer Patients: A Review of the Literature.

Authors:  Hánah N Rier; Agnes Jager; Stefan Sleijfer; Andrea B Maier; Mark-David Levin
Journal:  Oncologist       Date:  2016-07-13

6.  Skeletal Muscle Measures as Predictors of Toxicity, Hospitalization, and Survival in Patients with Metastatic Breast Cancer Receiving Taxane-Based Chemotherapy.

Authors:  Shlomit Strulov Shachar; Allison M Deal; Marc Weinberg; Kirsten A Nyrop; Grant R Williams; Tomohiro F Nishijima; Julia M Benbow; Hyman B Muss
Journal:  Clin Cancer Res       Date:  2016-08-03       Impact factor: 12.531

7.  Role of the lean body mass and of pharmacogenetic variants on the pharmacokinetics and pharmacodynamics of sunitinib in cancer patients.

Authors:  C Narjoz; A Cessot; A Thomas-Schoemann; J L Golmard; O Huillard; P Boudou-Rouquette; A Behouche; F Taieb; J P Durand; A Dauphin; R Coriat; M Vidal; M Tod; J Alexandre; M A Loriot; F Goldwasser; B Blanchet
Journal:  Invest New Drugs       Date:  2014-10-25       Impact factor: 3.850

Review 8.  Nutrition and Aging: a Practicing Oncologist's Perspective.

Authors:  Rishi Jain; Efrat Dotan
Journal:  Curr Oncol Rep       Date:  2017-09-07       Impact factor: 5.075

9.  Erlotinib pharmacokinetics: a critical parameter influencing acute toxicity in elderly patients over 75 years-old.

Authors:  Frederic Bigot; Pascaline Boudou-Rouquette; Jennifer Arrondeau; Audrey Thomas-Schoemann; Camille Tlemsani; Jeanne Chapron; Olivier Huillard; Anatole Cessot; Michel Vidal; Jerome Alexandre; Benoit Blanchet; Francois Goldwasser
Journal:  Invest New Drugs       Date:  2016-10-29       Impact factor: 3.850

Review 10.  Cachexia in patients with oesophageal cancer.

Authors:  Poorna Anandavadivelan; Pernilla Lagergren
Journal:  Nat Rev Clin Oncol       Date:  2015-11-17       Impact factor: 66.675

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