Literature DB >> 31707767

Geriatric Nutritional Risk Index as a prognostic marker in patients with extensive-stage disease small cell lung cancer: Results from a randomized controlled trial.

Gyeong-Won Lee1, Se-Il Go2, Dong-Wan Kim3, Hoon-Gu Kim2, Joo-Hang Kim4, Ho Jung An5, Joung Soon Jang6, Bong-Seog Kim7, Seokyung Hahn8, Dae Seog Heo3.   

Abstract

BACKGROUND: Clinical impact of the Geriatric Nutritional Risk Index (GNRI) in patients with extensive-stage disease small cell lung cancer (ED-SCLC) have not previously been reported.
METHODS: This study analyzed 352 patients enrolled in a previous randomized phase III trial comparing the efficacy of irinotecan plus cisplatin with that of etoposide plus cisplatin as the first-line therapy for ED-SCLC. GNRI values were calculated using serum albumin levels and actual and ideal bodyweights. Patients with a GNRI > 98, 92-98, and <92 were grouped into no, low, and moderate/major risk groups, respectively.
RESULTS: The objective response rates were 63.2%, 52.6%, and 49.2% in the no, low, and moderate/major risk groups, respectively (P = 0.024). The median progression-free survival (PFS) was shorter in patients with a lower GNRI than in those with a higher GNRI (no vs. low vs. moderate/major risk group; 6.5 vs. 5.8 vs. 5.9 months, respectively; P = 0.028). There were significant differences in median overall survival (OS) according to GNRI (no vs. low vs. moderate/major risk group; 13.2 vs. 10.3 vs. 8.4 months, respectively; P < 0.001). Multivariate analysis revealed that being in the moderate/major risk group was an independent poor prognostic factor for PFS (hazard ratio [HR]: 1.300, 95% confidence interval [CI]: 1.012-1.670; P = 0.040) and OS (HR: 1.539; 95% CI: 1.069-2.216; P = 0.020).
CONCLUSIONS: This prospective study shows that a low GNRI value was associated with a poor prognosis, and it supports the relationship between systemic inflammation, nutritional status, and clinical outcomes in patients with ED-SCLC.Key points SIGNIFICANT FINDINGS OF THE STUDY: The lower GNRI group had a low response rate to chemotherapy for ED-SCLC. The HRs for PFS and OS were 1.300 and 1.539 in the patients with GNRI < 92. WHAT THIS STUDY ADDS: Low GNRI is associated with poor prognosis in ED-SCLC.
© 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Cachexia; inflammation; nutrition assessment; small cell lung carcinoma

Mesh:

Year:  2019        PMID: 31707767      PMCID: PMC6938749          DOI: 10.1111/1759-7714.13229

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


Introduction

Small cell lung cancer (SCLC) is a highly aggressive malignancy characterized by rapid tumor growth, early locoregional and distant metastases, and frequent presentation of paraneoplastic syndromes.1 Despite a high response rate to chemotherapy, the one‐year survival percentage in patients with extensive‐stage disease (ED) SCLC is only 25%–41%.2, 3, 4 Old age, poor performance status (PS), serum creatinine levels above the upper normal limit, and elevated serum lactate dehydrogenase levels are known to be poor prognostic factors in patients with ED‐SCLC.5, 6 Nutritional status is increasingly recognized as an important prognostic factor in cancer patients. Malnutrition and cachexia are associated with intolerance to anticancer therapy, reduced physical activity, and decreased survival.7, 8 Various markers for nutritional status and cachexia have previously been evaluated in SCLC. Sarcopenia and adipopenia measured by computed tomography have been reported to be related to early discontinuation of treatment and to reduced survival.9, 10 A low modified Glasgow prognostic score (GPS) consisting of serum albumin and C‐reactive protein levels was also reported to be associated with shorter overall survival (OS).11 The prognostic nutritional index (PNI) has been evaluated in several retrospective studies, which consistently reported an association between low PNI values and poor prognoses in patients with SCLC.11, 12, 13, 14 The Geriatric Nutritional Risk Index (GNRI) is another simplified parameter, which was developed to determine the risk of nutrition‐related morbidity and mortality in elderly noncancer patients.15 The low level of this index has been reported to be associated with frequent surgical complications16, 17, 18 and with reduced survival19, 20, 21 in various solid tumors. However, the clinical impact of the GNRI on SCLC have not previously been reported. Etoposide plus platinum (EP) combination chemotherapy have been considered the standard first‐line treatment for ED‐SCLC.2, 22, 23 Additionally, the irinotecan plus platinum (IP) regimen has been suggested as a potent alternative therapy.24, 25, 26 A meta‐analysis showed a significant benefit of OS for IP over EP with a different toxicity profile.27 However, it is debatable whether irinotecan can substitute for etoposide because this meta‐analysis did not use individual patient data and showed only a relatively small absolute survival benefit without a benefit in terms of progression‐free survival (PFS). Furthermore, the results, which favored irinotecan in Asian patients, were not reproduced in non‐Asian patients.4, 28 Recently, our previous phase III study which was conducted in Korean patients reported that there was no significant difference in OS between IP and EP (median OS: 10.9 vs. 10.3 months, respectively, P = 0.120).29 Preplanned subgroup analysis showed that the IP regimen might be favorable in males and younger ages, with a good PS and a modest survival benefit of 5–6 weeks. This secondary analysis was conducted to evaluate the prognostic values of the GNRI and other nutritional markers in patients with ED‐SCLC, and to further select patients who would benefit from either the IP or EP regimens through stratification using the GNRI.

Methods

Patients and study design

This analysis used data from our previous randomized, multi‐center, phase III trial, which compared the efficacy of the IP regimen with that of the EP regimen in ED‐SCLC patients. The study design, eligibility, and treatment schedule have been previously described.29 Briefly, the study involved 362 eligible patients ≥18 years of age having histologically or cytologically confirmed ED‐SCLC, no previous chemotherapy, Eastern Cooperative Oncology Group (ECOG) PS ≤ 2, and measurable lesions as defined by the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.0.30 Patients also had adequate organ function. Enrolled patients were randomly (1:1) treated with either the IP or EP regimen. The patients assigned to the IP arm received 65 mg/m2 of irinotecan on days 1 and 8 and 70 mg/m2 of cisplatin on day 1 every three weeks. Those assigned to the EP arm received 100 mg/m2 of etoposide on days 1–3 and 70 mg/m2 of cisplatin on day 1 every three weeks. Up to six cycles of chemotherapy were allowed in each arm. In the present study, 10 of 362 patients in whom the GNRI could not be calculated were excluded. The study was conducted in accordance with Good Clinical Practice guidelines and the Declaration of Helsinki, and approved by the Institutional Review Board of each participating institution. All patients provided written informed consent.

Evaluation and definition

Before treatment, all patients were evaluated using demographic information, physical measurements, ECOG PS, radiological studies, and laboratory tests, including a complete blood cell count and serum chemistry. Tumor response to treatment was assessed according to the RECIST version 1.0 every 2–3 cycles of treatment.30 Treatment‐related toxicity was evaluated using National Cancer Institute Common Toxicity Criteria, version 3.0, every treatment cycle. Body mass index (BMI) was calculated as bodyweight (kg) divided by the square of the height (m2). Underweight was defined as a BMI < 18.5 kg/m2 according to Asian criteria.31 PNI was calculated as 10 × serum albumin level (g/dL) + 0.005 × absolute lymphocyte count (/mm3). PNI values >45, 40–45, and <40 were categorized as low, intermediate, and high risk.32 GNRI values were calculated as 1.489 × serum albumin level (g/L) + 41.7 × (actual bodyweight [ABW]/ideal bodyweight [IBW] [kg]). The ABW/IBW ratio was set to one if the ABW exceeded the IBW. GNRI values >98, 92–98, and <92 were categorized as no, low, and moderate/major risk as described previously.15

Statistical analysis

All analyses were performed on an intention‐to‐treat population. The correlations between ordinal and continuous variables and those between ordinal and dichotomous variables were tested using Spearman's rank correlation and the chi‐square for trend tests, respectively. OS was calculated as the time from the date of beginning treatment to the date of death or the last follow‐up. PFS was calculated as the time from the date of beginning treatment to the date of progression, death, or last follow‐up. Survival was analyzed using the Kaplan‐Meier method and compared by the log‐rank test for trend. Cox regression analysis was performed to determine the influence of different variables on survival. All variables with a P‐value <0.05 on univariate analyses and treatment regimen were included in the multivariate Cox regression model. A two‐sided P‐value <0.05 was considered statistically significant. All analyses were performed with STATA software, version 14.2 (College Station, TX, USA).

Results

Baseline characteristics

The mean (± standard deviation) GNRI value was 94.7 (± 8.8) with a range of 68.5–113.2. Of 352 patients, 133 were assigned to the no risk group, 95 to the low risk group, and 124 to the moderate/major risk group. Their baseline characteristics according to GNRI are presented in Table 1. In total, the median age was 65 years (range: 36–81 years) and most patients were male (90.3%). A poor ECOG PS of two was observed in 51 patients (14.5%). Brain metastasis was detected at diagnosis in 94 patients (26.7%). In a comparison of the three GNRI groups, there was no statistically significant difference in age, sex, brain metastasis, chemotherapy regimen, or thrombocytopenia incidence. However, poor PS (P < 0.001), anemia (P < 0.001), and hyponatremia (P = 0.013) were more common in the moderate/major risk group. The values of other nutritional markers such as BMI (P < 0.001) and PNI (P < 0.001) were higher as the GNRI value increased.
Table 1

Baseline characteristics

CharacteristicsGNRI > 98 (n = 133)GNRI 92–98 (n = 95)GNRI < 92 (n = 124) P‐value
Age
<65 years65 (48.9)46 (48.4)49 (39.5)0.136
≥65 years68 (51.1)49 (51.6)75 (60.5)
Median, years (range)65 (36–80)65 (47–81)66 (48–81)0.066
Sex
Male123 (92.5)84 (88.4)111 (89.5)0.414
Female10 (7.5)11 (11.6)13 (10.5)
ECOG PS
0–1122 (91.7)86 (90.5)93 (75.0)< 0.001
211 (8.3)9 (9.5)31 (25.0)
Brain metastasis
Absent58 (43.6)39 (41.1)46 (37.1)0.143
Present34 (25.6)32 (33.7)28 (22.6)
Not evaluated41 (30.8)24 (25.3)50 (40.3)
Regimen
IP63 (47.4)47 (49.5)60 (48.4)0.867
EP70 (52.6)48 (50.5)64 (51.6)
Anemia
Absent93 (69.9)54 (56.8)35 (28.2)< 0.001
Present40 (30.1)41 (43.2)89 (71.8)
Thrombocytopenia
Absent128 (96.2)87 (91.6)118 (95.2)0.682
Present5 (3.8)8 (8.4)6 (4.8)
Hyponatremia
Absent105 (79.0)77 (81.1)81 (65.3)0.013
Present28 (21.1)18 (19.0)43 (34.7)
Median BMI (range), kg/m2 23.9 (17.9–34.8)22.8 (15.0–28.3)20.9 (14.8–27.8)< 0.001
Median PNI (range)54.7 (41.8–71.3)47.9 (37.7–60)41.4 (26.8–56.5)< 0.001

BMI, body mass index; ECOG PS, Eastern Cooperative Oncology Group performance status; EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; IP, irinotecan/cisplatin; PNI, Prognostic Nutritional Index.

Baseline characteristics BMI, body mass index; ECOG PS, Eastern Cooperative Oncology Group performance status; EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; IP, irinotecan/cisplatin; PNI, Prognostic Nutritional Index.

Treatment response

Treatment response assessments were available for 287/352 patients (Table 2). There were three complete responses (CRs) in the no risk group, compared with only one CR in the other two groups. The objective response rates (ORRs) were 63.2%, 52.6%, and 49.2% in the no, low, and moderate/major risk groups, respectively (P = 0.024). Similar to our previous study,29 the ORR was significantly higher in the IP arm compared with the EP arm (62.4% vs. 48.9%, respectively; P = 0.011). Regardless of the chemotherapy regimen, the ORR tended to be lower in the moderate/major risk group, although there was no statistical significance (no vs. low vs. moderate/major risk group, 71.4% vs. 57.5% vs. 56.7% in the IP arm [P = 0.090]; 55.7% vs. 47.9% vs. 42.2% in the EP arm [P = 0.118], respectively).
Table 2

Best overall response

Confirmed best responseGNRI > 98 (n = 133)GNRI 92–98 (n = 95)GNRI < 92 (n = 124)
Complete response4 (3.0)0 (0.0)1 (0.8)
Partial response80 (60.2)50 (52.6)60 (48.4)
Stable disease25 (18.8)24 (25.3)23 (18.6)
Progressive disease6 (4.5)4 (4.2)10 (8.1)
Not evaluable18 (13.5)17 (17.9)30 (24.2)
Objective response rate (CR + PR)84 (63.2)50 (52.6)61 (49.2)

CR, complete response; GNRI, Geriatric Nutritional Risk Index; PR, partial response.

Best overall response CR, complete response; GNRI, Geriatric Nutritional Risk Index; PR, partial response.

Toxicity

Grade 3 or more adverse events occurred in >2% of patients were reviewed (Table 3). The mean (± standard deviation) treatment cycles were 4.7 (± 1.9), 4.4 (± 2.0), and 4.1 (± 2.2) in the no, low, and moderate/major risk groups (P = 0.014). The no risk group had significantly fewer incidences of anemia (14.3% vs. 25.3% vs. 26.6%; P = 0.016) and thrombocytopenia (4.5% vs. 17.9% vs. 17.7%; P = 0.001) compared with the low and moderate/major risk groups, respectively. Nausea was less common in the moderate/major risk group than the other two groups, but only small numbers of patients experienced this toxicity. Otherwise, there were no differences in neutropenia, neutropenic fever, infection, vomiting, diarrhea, and liver function test abnormalities among the three groups. Treatment‐related deaths and treatment discontinuations caused by toxicity occurred in three, six, and nine patients (2.3%, 6.3%, and 7.3%; P = 0.068) and in 13, 10, and 13 patients (9.8%, 10.5%, and 10.5%; P = 0.850) in the no, low, and moderate/major risk groups, respectively.
Table 3

Grade ≥ 3 adverse events in more than 2% of subjects

Adverse eventGNRI > 98 (n = 133)GNRI 92–98 (n = 95)GNRI < 92 (n = 124) P‐value
Anemia19 (14.3)24 (25.3)33 (26.6)0.016
Neutropenia92 (69.2)55 (57.9)82 (66.1)0.588
Thrombocytopenia6 (4.5)17 (17.9)22 (17.7)0.001
Neutropenic fever23 (17.3)15 (15.8)21 (16.9)0.935
Infection20 (15.0)16 (16.8)28 (22.6)0.119
Nausea5 (3.8)3 (3.2)0 (0.0)0.045
Vomiting4 (3.0)3 (3.2)1 (0.8)0.242
Diarrhea8 (6.0)8 (8.4)6 (4.8)0.711
AST elevation3 (2.3)5 (5.3)2 (1.6)0.780
ALT elevation3 (2.3)4 (4.2)1 (0.8)0.453

AST, aspartate transaminase; ALT, alanine transaminase; GNRI, Geriatric Nutritional Risk Index.

Grade ≥ 3 adverse events in more than 2% of subjects AST, aspartate transaminase; ALT, alanine transaminase; GNRI, Geriatric Nutritional Risk Index.

Survival

The median follow‐up duration was 50.1 months (range: 17.6–83.2 months) in all patients. The median PFS was shorter in the moderate/major risk group than in the lower risk groups (no vs. low vs. moderate/major risk group, 6.5 [95% CI: 6.0–7.2] vs. 5.8 [95% CI: 5.5–0.5] vs. 5.9 [95% CI: 4.8–6.4] months; respectively; P = 0.028; Fig 1a). The difference was more apparent in the median OS among the three groups (no vs. low vs. moderate/major risk group, 13.2 [95% CI: 11.7–4.7] vs. 10.3 [95% CI: 8.8–1.5] vs. 8.4 [95% CI: 7.4–10.0] months, respectively; P < 0.001; Fig 1b). In a comparison according to chemotherapy regimen, there was no significant difference in median PFS (6.5 vs. 5.9 months; P = 0.105) and OS (10.9 vs. 10.3 months; P = 0.241) between the IP and EP arms, respectively, as shown in our previous study.29 In the IP arm, there was no difference in median PFS among the three groups (no vs. low vs. moderate/major risk group, 6.9 [95% CI: 6.3–7.4] vs. 5.9 [95% CI: 4.7–7.7] vs. 6.2 [95% CI: 5.3–7.2] months, respectively; P = 0.307; Fig 2a), while the median OS was shorter in the moderate/major risk group compared with the lower risk groups (no vs. low vs. moderate/major risk group, 12.7 [95% CI: 9.4–15.3] vs. 10.3 [95% CI: 7.3–15.6] vs. 9.6 [95% CI: 7.1–12.7] months, respectively; P = 0.033; Fig 2b). In the EP arm, there were significant differences among the three groups both in median PFS (no vs. low vs. moderate/major risk group, 6.0 [95% CI: 5.2–7.1] vs. 5.7 [95% CI: 4.5–6.7] vs. 4.8 [95% CI: 3.5–6.2] months, respectively; P = 0.027; Fig 2c) and OS (no vs. low vs. moderate/major risk group, 13.3 [95% CI: 11.8–16.0] vs. 10.0 [95% CI: 7.8–11.2] vs. 7.7 [95% CI: 6.7–9.1] months, respectively; P < 0.001; Fig 2d).
Figure 1

Kaplan‐Meier curves for (a) progression‐free survival and (b) overall survival according to GNRI. GNRI, Geriatric Nutritional Risk Index. () GNRI > 98 (n = 133), () GNRI 92–98 (n = 95) and () GNRI < 92 (n = 124).

Figure 2

Kaplan‐Meier curves for (a) progression‐free survival, (b) overall survival in the IP arm, and (c) progression‐free survival and (d) overall survival in the EP arm according to GNRI. EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; IP, irinotecan/cisplatin. (a, b) () GNRI > 98 (n = 63), () GNRI 92–98 (n = 47) and () GNRI < 92 (n = 60). (c, d) () GNRI > 98 (n = 70), () GNRI 92–98 (n = 48) and () GNRI < 92 (n = 64).

Kaplan‐Meier curves for (a) progression‐free survival and (b) overall survival according to GNRI. GNRI, Geriatric Nutritional Risk Index. () GNRI > 98 (n = 133), () GNRI 92–98 (n = 95) and () GNRI < 92 (n = 124). Kaplan‐Meier curves for (a) progression‐free survival, (b) overall survival in the IP arm, and (c) progression‐free survival and (d) overall survival in the EP arm according to GNRI. EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; IP, irinotecan/cisplatin. (a, b) () GNRI > 98 (n = 63), () GNRI 92–98 (n = 47) and () GNRI < 92 (n = 60). (c, d) () GNRI > 98 (n = 70), () GNRI 92–98 (n = 48) and () GNRI < 92 (n = 64). In a multivariate analysis of PFS (Table 4), being part of the moderate/major risk group was an independent poor prognostic factor (hazard ratio [HR]: 1.300; 95% CI: 1.012–1.670; P = 0.040). The low risk group did not show a statistically significant difference in PFS compared with the no risk group (P = 0.085). In a multivariate analysis of OS, being a member of either the low risk group (HR: 1.446; 95% CI: 1.086–1.925; P = 0.012) or the moderate/major risk group (HR: 1.539; 95% CI: 1.069–2.216; P = 0.020) was an independent poor prognostic factor, compared with the no risk group. In contrast, the PNI lost statistical significance after adjusting for potential prognostic factors, including the GNRI.
Table 4

Cox regression for PFS and OS

FactorPFSOS
UnivariateMultivariateUnivariateMultivariate
HR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐valueHR95% CI P‐value
Age
<65 yearsRef.Ref.Ref.
≥65 years1.0650.861–1.3180.5631.3281.067–1.6520.0111.3051.045–1.6290.019
Sex
MaleRef.Ref.
Female1.2570.882–1.7930.2061.1530.799–1.6620.447
ECOG PS
0–1Ref.Ref.Ref.
21.2080.892–1.6350.2211.7671.294–2.413<0.0011.6861.217–2.3360.002
Brain metastasis
Absent/not evaluatedRef.Ref.
Present1.0560.831–1.3410.6581.1490.900–1.4670.265
Regimen
IPRef.Ref.Ref.Ref.
EP1.1910.963–1.4730.1061.2100.978–1.4970.0801.1390.916–1.4170.2421.1230.900–1.4020.303
Anemia
AbsentRef.Ref.Ref.
Present1.1570.937–1.4300.1761.2881.037–1.6020.0221.1060.863–1.4180.426
Thrombocytopenia
AbsentRef.Ref.
Present1.0720.675–1.7040.7681.1040.683–1.7820.687
Hyponatremia
AbsentRef.Ref.Ref.Ref.
Present1.3941.093–1.7800.0081.3821.081–1.7670.0101.2400.968–1.5880.0891.1000.835–1.4480.498
BMI
Normal to obeseRef.Ref.
Underweight1.1750.798–1.7310.4141.3700.908–2.0670.134
PNI
>45Ref.Ref.Ref.
40–451.2210.920–1.6220.1671.4161.061–1.8920.0181.0500.750–1.4700.777
<401.2640.943–1.6940.1171.4571.078–1.9680.0140.9530.625–1.4540.823
GNRI
>98Ref.Ref.Ref.Ref.
92–981.2420.951–1.6230.1121.2660.968–1.6540.0851.4631.114–1.9200.0061.4461.086–1.9250.012
<921.3151.026–1.6870.0311.3001.012–1.6700.0401.6961.311–2.194<0.0011.5391.069–2.2160.020

BMI, body mass index; CI, confidence interval; ECOG PS, Eastern Cooperative Oncology Group performance status; EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; HR, hazard ratio; IP, irinotecan/cisplatin; OS, overall survival; PFS, progression‐free survival; PNI, Prognostic Nutritional Index.

Cox regression for PFS and OS BMI, body mass index; CI, confidence interval; ECOG PS, Eastern Cooperative Oncology Group performance status; EP, etoposide/cisplatin; GNRI, Geriatric Nutritional Risk Index; HR, hazard ratio; IP, irinotecan/cisplatin; OS, overall survival; PFS, progression‐free survival; PNI, Prognostic Nutritional Index.

Discussion

This report provides the first evidence of an association between the GNRI and the prognoses of patients with ED‐SCLC. The moderate/major risk group had a 14% reduction in the treatment response percentage and decreased survival by five months (median OS: 13.2 vs. 8.4 months) compared with the no risk group. Although poor PS, anemia, and hyponatremia in baseline characteristics were more commonly observed in the higher risk group, the GNRI remained an independent prognostic factor for survival after adjusting for these variables. The underlying mechanism resulting in SCLC patients with a low GNRI having a poor prognosis is unclear. The GNRI consists of the serum albumin level and bodyweight (ABW/IBW). Because the ABW/IBW ratio is set to one if the ABW is greater than the IBW in the GNRI formula, the value of albumin outweighs that of bodyweight in the GNRI.15 Hypoalbuminemia is known to reflect a systemic inflammatory condition. Inflammatory cytokines such as interleukin‐1 and ‐6 reduce the hepatic synthesis of albumin and its mRNA content.33, 34 Tumor necrosis factor‐alpha increases the albumin permeability of glomeruli through the generation of superoxides.35 The transcapillary escape of albumin from the intravascular space to the tissue space is increased under inflammatory conditions, and is promoted by interleukin‐2.36, 37 Oxidative stress results in an increase in denatured albumin, which is likely to be degraded by endocytosis in hepatic endothelial cells.38 Systemic inflammation is the main contributor to malnutrition and cachexia in cancer patients.39, 40, 41 Furthermore, there is a close relationship between systemic inflammation and tumor progression and metastasis.42, 43, 44 In SCLC, many studies have reported the association of inflammatory markers with the prognoses of patients.10, 45, 46, 47, 48, 49 Because the GNRI reflects both systemic inflammation and cachexia, which result in adverse clinical outcomes, the GNRI may be a prognostic factor in SCLC patients. We identified nutritional markers that were prognostic in ED‐SCLC. The GNRI was closely and positively correlated with the PNI and BMI. In addition to the GNRI, a low PNI was also associated with worse OS in a univariate analysis, but not associated with PFS. In a multivariate analysis, the PNI was not an independent prognostic factor for OS after adjusting for the GNRI. BMI did not show any prognostic value for PFS or OS. Several studies have compared the clinical impacts of nutritional markers, including the GNRI, in various malignancies. Patients with a low GNRI had 3.4 times more postoperative respiratory complications than those with a high GNRI after esophagectomy for esophageal cancer, whereas there was no difference between the low and high PNI groups.50 Another study of esophageal cancer patients who underwent curative esophagectomy reported that the GNRI and PNI had similar prognostic values.20 In nonmetastatic renal cell carcinoma, the low GNRI group had 3.2 times longer cancer‐specific survival compared with the high GNRI group, but BMI did not have any prognostic value.51 A study of surgically‐treated elderly patients with non‐SCLC reported that the GNRI was the only independent prognostic factor for OS when compared with the PNI, BMI, and controlling nutritional status.52 Because of a scarcity of data and discordant cutoff values of the markers, it was difficult to conclude which one was the most appropriate prognostic factor among the nutritional markers. However, when considering the results of present and previous studies, the GNRI may be as good as other nutritional markers as a prognostic indicator in SCLC. Another purpose of this study was to determine whether the GNRI could identify patients having a favorable outcome from either the IP or EP regimens. In the EP arm, there was a significant difference in PFS among the GNRI groups, and this trend was clearer in OS (no risk vs. moderate/major risk group, 13.3 vs. 7.7 months). In contrast, no difference in PFS was observed regardless of the GNRI, and the discrimination of OS was also less clear in the IP arm. Given the higher response rate of the IP regimen, the IP regimen may be more effective than the EP regimen in patients with a low GNRI value who have a poor prognosis. However, this finding was obtained from a subgroup analysis, and there was no statistical difference in median OS between the IP and EP arms when the analysis was performed only in the moderate/major risk group (9.6 vs. 7.7 months; P = 0.174). In the original cohort, although the favorable OS of the IP arm was observed in males <65 years of age and the ECOG PS 0–1 patient groups, the survival benefit was only 5–6 weeks in these populations.29 We suggest that the IP regimen does not clearly improve the prognoses of ED‐SCLC patients compared with the EP regimen, so additional studies are needed to identify patients who are likely to benefit from each regimen. This study has some limitations. First, this was an unplanned subset analysis which was not powered to determine the prognostic role of the GNRI. In cancer patients, few studies have investigated the clinical impact of the GNRI using a prospective nonrandomized cohort.21, 53 To overcome the potential bias in an observational study, a randomized controlled trial comparing each GNRI risk group is needed. Second, nutritional and inflammatory assessments by other factors than the GNRI, PNI, and BMI were not performed due to limited information in this cohort. For example, mini‐nutritional assessment data, sarcopenia, GPS, and prognostic inflammatory and nutritional indices could not be assessed because of a lack of data regarding recent weight loss, muscle mass and quality, inflammatory cytokines, C‐reactive protein, and prealbumin.7, 54, 55 In conclusion, this prospective study suggests that a low GNRI value was associated with poor prognoses for ED‐SCLC patients. The results support the importance of systemic inflammation and nutritional status in the clinical outcomes of SCLC patients. However, additional studies with comprehensive nutritional assessments are warranted to confirm our findings.

Disclosure

The authors do not have any competing interests.
  55 in total

1.  The prognostic nutritional index (PNI) predicts overall survival of small-cell lung cancer patients.

Authors:  Shaodong Hong; Ting Zhou; Wenfeng Fang; Cong Xue; Zhihuang Hu; Tao Qin; Yanna Tang; Yue Chen; Yuxiang Ma; Yunpeng Yang; Xue Hou; Yan Huang; Hongyun Zhao; Yuanyuan Zhao; Li Zhang
Journal:  Tumour Biol       Date:  2014-12-20

2.  Randomized phase III trial comparing irinotecan/cisplatin with etoposide/cisplatin in patients with previously untreated extensive-stage disease small-cell lung cancer.

Authors:  Nasser Hanna; Paul A Bunn; Corey Langer; Lawrence Einhorn; Troy Guthrie; Thaddeus Beck; Rafat Ansari; Peter Ellis; Michael Byrne; Mark Morrison; Subramanian Hariharan; Benjamin Wang; Alan Sandler
Journal:  J Clin Oncol       Date:  2006-05-01       Impact factor: 44.544

3.  Italian, Multicenter, Phase III, Randomized Study of Cisplatin Plus Etoposide With or Without Bevacizumab as First-Line Treatment in Extensive-Disease Small-Cell Lung Cancer: The GOIRC-AIFA FARM6PMFJM Trial.

Authors:  Marcello Tiseo; Luca Boni; Francesca Ambrosio; Andrea Camerini; Editta Baldini; Saverio Cinieri; Matteo Brighenti; Francesca Zanelli; Efisio Defraia; Rita Chiari; Claudio Dazzi; Carmelo Tibaldi; Gianni Michele Turolla; Vito D'Alessandro; Nicoletta Zilembo; Anna Rita Trolese; Francesco Grossi; Ferdinando Riccardi; Andrea Ardizzoni
Journal:  J Clin Oncol       Date:  2017-01-30       Impact factor: 44.544

Review 4.  Association between cachexia, chemotherapy and outcomes in older cancer patients: A systematic review.

Authors:  Philippe Caillet; Evelyne Liuu; Agathe Raynaud Simon; Marc Bonnefoy; Olivier Guerin; Gilles Berrut; Bruno Lesourd; Claude Jeandel; Monique Ferry; Yves Rolland; Elena Paillaud
Journal:  Clin Nutr       Date:  2016-12-18       Impact factor: 7.324

5.  Topotecan/cisplatin compared with cisplatin/etoposide as first-line treatment for patients with extensive disease small-cell lung cancer: final results of a randomized phase III trial.

Authors:  Thomas H Fink; Rudolf M Huber; David F Heigener; Corrina Eschbach; Cornelius Waller; Ernst U Steinhauer; Johann C Virchow; Frank Eberhardt; Hans Schweisfurth; Michael Schroeder; Thomas Ittel; Simone Hummler; Norbert Banik; Thomas Bogenrieder; Thomas Acker; Martin Wolf
Journal:  J Thorac Oncol       Date:  2012-09       Impact factor: 15.609

6.  Prognostic significance of immune-nutritional parameters for surgically resected elderly lung cancer patients: a multicentre retrospective study.

Authors:  Fumihiro Shoji; Naoko Miura; Taichi Matsubara; Takaki Akamine; Yuka Kozuma; Naoki Haratake; Shinkichi Takamori; Masakazu Katsura; Kazuki Takada; Gouji Toyokawa; Tomoyoshi Takenaka; Koji Yamazaki; Tatsuro Okamoto; Sadanori Takeo; Yoshihiko Maehara
Journal:  Interact Cardiovasc Thorac Surg       Date:  2018-03-01

7.  TNF-alpha increases albumin permeability of isolated rat glomeruli through the generation of superoxide.

Authors:  E T McCarthy; R Sharma; M Sharma; J Z Li; X L Ge; K N Dileepan; V J Savin
Journal:  J Am Soc Nephrol       Date:  1998-03       Impact factor: 10.121

8.  Study of the molecular mechanism of decreased liver synthesis of albumin in inflammation.

Authors:  H J Moshage; J A Janssen; J H Franssen; J C Hafkenscheid; S H Yap
Journal:  J Clin Invest       Date:  1987-06       Impact factor: 14.808

9.  Risk Factors for Surgical Site Infection after Soft-Tissue Sarcoma Resection, Including the Preoperative Geriatric Nutritional Risk Index.

Authors:  Hiromi Sasaki; Satoshi Nagano; Noboru Taniguchi; Takao Setoguchi
Journal:  Nutrients       Date:  2018-12-03       Impact factor: 5.717

10.  Interleukin-6 induces fat loss in cancer cachexia by promoting white adipose tissue lipolysis and browning.

Authors:  Jun Han; Qingyang Meng; Lei Shen; Guohao Wu
Journal:  Lipids Health Dis       Date:  2018-01-16       Impact factor: 3.876

View more
  12 in total

1.  The comparison of GNRI and other nutritional indexes on short-term survival in geriatric patients treated for respiratory failure.

Authors:  Derya Yenibertiz; Mustafa Ozgur Cirik
Journal:  Aging Clin Exp Res       Date:  2020-11-01       Impact factor: 3.636

2.  Prognostic Utility of Geriatric Nutritional Risk Index After Curative Resection of Colorectal Cancer: A Propensity Score-matched Study.

Authors:  Masahiro Kataoka; Yasumitsu Hirano; Toshimasa Ishii; Shintaro Ishikawa; Atsuko Kataoka; Takatsugu Fujii; Satoshi Shimamura
Journal:  Cancer Diagn Progn       Date:  2021-11-03

3.  GNRI And Conut Scores: Simple Predictors of Sarcopenia in Metastatic Colorectal Cancer Patients.

Authors:  Zeynep Gülsüm Güç; Canan Altay; Hakan Abdullah Özgül; Hülya Ellidokuz; Tuğba Yavuzşen
Journal:  Support Care Cancer       Date:  2022-06-18       Impact factor: 3.359

4.  A Retrospective Cohort Study on Pretreated Neutrophil-to-Lymphocyte Ratio and Prognosis of Small Cell Lung Cancer: Evidence of Effect Modification by Chemotherapy Regimen.

Authors:  Feiwen Liu; Shaozhang Zhou; Liping Tan; Huiqin Jiang; Yucong Huang
Journal:  Cancer Manag Res       Date:  2020-10-19       Impact factor: 3.989

5.  Geriatric nutritional risk index as an independent prognostic factor in locally advanced nasopharyngeal carcinoma treated using radical concurrent chemoradiotherapy: a retrospective cohort study.

Authors:  Qing-Nan Tang; Hui-Zhi Qiu; Xiao-Qing Sun; Shan-Shan Guo; Li-Ting Liu; Yue-Feng Wen; Sai-Lan Liu; Hao-Jun Xie; Yu-Jing Liang; Xue-Song Sun; Xiao-Yun Li; Jin-Jie Yan; Jin-Hao Yang; Dong-Xiang Wen; Ling Guo; Lin-Quan Tang; Qiu-Yan Chen; Hai-Qiang Mai
Journal:  Ann Transl Med       Date:  2021-04

6.  Clinical significance of the cachexia index in patients with small cell lung cancer.

Authors:  Se-Il Go; Mi Jung Park; Gyeong-Won Lee
Journal:  BMC Cancer       Date:  2021-05-17       Impact factor: 4.430

7.  Prognostic Effect of a Novel Simply Calculated Nutritional Index in Acute Decompensated Heart Failure.

Authors:  Sayaki Ishiwata; Shoichiro Yatsu; Takatoshi Kasai; Akihiro Sato; Hiroki Matsumoto; Jun Shitara; Megumi Shimizu; Azusa Murata; Takao Kato; Shoko Suda; Shinichiro Doi; Masaru Hiki; Yuya Matsue; Ryo Naito; Hiroshi Iwata; Atsutoshi Takagi; Hiroyuki Daida
Journal:  Nutrients       Date:  2020-10-29       Impact factor: 5.717

8.  Assessment of Systemic Inflammation and Nutritional Indicators in Predicting Recurrence-Free Survival After Surgical Resection of Gastrointestinal Stromal Tumors.

Authors:  Zhenhua Lu; Rui Li; Xianglong Cao; Chengyu Liu; Zhen Sun; Xiaolei Shi; Weiwei Shao; Yangyang Zheng; Jinghai Song
Journal:  Front Oncol       Date:  2021-07-26       Impact factor: 6.244

9.  Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy.

Authors:  Li Chen; Yihang Qi; Xiangyi Kong; Zhaohui Su; Zhongzhao Wang; Xiangyu Wang; Yaying Du; Yi Fang; Xingrui Li; Jing Wang
Journal:  Front Nutr       Date:  2022-01-13

10.  The preoperative geriatric nutritional risk index (GNRI) is an independent prognostic factor in elderly patients underwent curative resection for colorectal cancer.

Authors:  Tamuro Hayama; Yojiro Hashiguchi; Tsuyoshi Ozawa; Makoto Watanabe; Yoshihisa Fukushima; Ryu Shimada; Keijiro Nozawa; Keiji Matsuda; Shoichi Fujii; Takeo Fukagawa
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.