Open Access

Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer

  • Authors:
    • Shicheng Liu
    • Qingtao Zhao
    • Zengming Wang
    • Bin Zhao
    • Xiaopeng Zhang
  • View Affiliations

  • Published online on: December 15, 2023     https://doi.org/10.3892/mco.2023.2710
  • Article Number: 12
  • Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Albumin‑bilirubin (ALBI) grade was first described in 2015 as an indicator of liver dysfunction in patients with hepatocellular carcinoma. ALBI grade has been reported to have prognostic value in several malignancies including non‑small cell lung cancer (NSCLC). The present study aimed to explore the prognostic impact of ALBI grade in patients with small cell lung cancer (SCLC). It retrospectively analyzed 135 patients with SCLC treated at Hebei General Hospital between April 2015 and August 2021. Patients were divided into two groups according to the cutoff point of ALBI grade determined by the receiver operating characteristic (ROC) curve: Group 1 with pre‑treatment ALBI grade ≤‑2.55 for an improved hepatic reserve and group 2 with ALBI grade >‑2.55. Kaplan‑Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with progression free survival (PFS) and overall survival (OS). Propensity score matching (PSM) was applied to eliminate the influence of confounding factors. PFS and OS (P<0.001) were significantly improved in group 1 compared with in group 2. Multivariate analysis revealed that sex (P=0.024), surgery (P=0.050), lactate dehydrogenase (LDH; P=0.038), chemotherapy (P=0.038) and ALBI grade (P=0.028) are independent risk factors for PFS and that surgery (P=0.013), LDH (P=0.039), chemotherapy (P=0.009) and ALBI grade (P=0.013) are independent risk factors for OS. After PSM, ALBI grade is an independent prognostic factor of PFS (P=0.039) and OS (P=0.007). It was concluded that ALBI grade was an independent prognostic factor in SCLC.

Introduction

Lung cancer is one of the most common types of cancer, accounting for ~11.6% of all types of cancer. Small cell lung cancer (SCLC), as a subtype, accounts for 15% of lung cancer (1,2) SCLC is a rapidly progressing and highly aggressive neuroendocrine cancer with a 5-year survival rate of only 7% and is sensitive to initial chemotherapy and radiotherapy (3-5). Patients with SCLC are divided into limited stage and extensive stage. Limited stage refers to the lesion being confined to one side of the chest cavity and the cancer spreading to the pleural effusion and lymph nodes on the same side. Extensive stage refers to lesion spread beyond the same chest cavity, including malignant pleural effusions and pericardial effusions, lymph node metastases on the contralateral hilar or clavicle, or other parts of the body. The dichotomized staging system and TNM staging are important predictors for the prognosis of SCLC. Some clinical variables such as performance status, age, weight loss, stage, and serum lactate dehydrogenase (LDH) are also considered to predict the prognosis of SCLC. Some researchers have studied deep into the gene level to explore the targets associated with lung cancer (6). However, there are no standardized prognostic parameters (7). Therefore, it is important to explore accurate prognostic factors for SCLC. According to previous studies (8-10), liver function may be an important factor in the prognosis of various malignancies. Currently, the Child-Pugh score is the most important scoring system for evaluation of liver function (11). The Child-Pugh score was based on the total bilirubin, albumin, prothrombin time, and the clinical findings of encephalopathy and ascites. It was graded as 5-6 points for Child-Pugh-A; 7-9 points for Child-Pugh-B; and 10-15 points for Child-Pugh-C. However, it is not suitable for patients with SCLC, as most patients will merely be assigned to Child Pugh-A (12). Albumin-bilirubin (ALBI) grade, which has been used to evaluate liver function, was first described by Johnson et al (12) in 2015 as an indicator of liver dysfunction in patients with hepatocellular carcinoma. Several studies have demonstrated the prognostic value of ALBI grade in hepatocellular carcinoma (8,12,13), as well as in intrahepatic cholangiocarcinomas, pancreatic cancer, and gastric cancer (9,10,14). Furthermore, there has been a study describing the significance of ALBI grade in non-small cell lung cancer (15). However, the significance of ALBI grade in SCLC has not yet been elucidated. The present study aimed to explore the prognostic impact of ALBI grade in patients with SCLC.

Patients and methods

Patient and data collection

The present study retrospectively analyzed all patients with SCLC treated at the Department of Thoracic Surgery in Hebei General Hospital between April 2015 and August 2021. The patients were followed up throughout the clinical course for at least four months, and the cutoff date for data collection was December 31, 2021. Pre-treatment clinical information and social history were extracted from the hospital's electronic medical records. All the patients included in the present study were pathologically diagnosed with SCLC and there were no other malignant tumors and immune-related serious diseases or adverse factors affecting blood routine or biochemical indexes such as hematologic diseases, liver diseases and kidney diseases before treatment. The clinical data of the patients before receiving treatment were obtained before chemotherapy and surgery. Patients with incomplete test index results, inaccurate clinical data and failure of follow-up were excluded. End point of assessment was patient overall survival (OS), which is the time from diagnosis of SCLC to mortality and the secondary endpoint was progression free survival (PFS), PFS is defined as the time from initiation of therapy to disease progression. Patients with significant radiographic progression, markedly elevated tumor markers, or distant metastases were considered for PFS analyses and a total of 135 patients were included in the sample.

The present study conducted follow-up visits through outpatient clinics, hospitalizations and phone calls. The follow-up interval was 1 month. Follow-up rate was 96.3% and two consecutive losses to follow-up were defined as death with the date of death defined as the date of the last follow-up. The clinicopathological variables including sex, age, smoking status, TNM staging, body mass index (BMI), PS, Charlson comorbidity index (CCI) and whether undergoing surgery, chemotherapy or radiotherapy were recorded by the electronic medical record system. Laboratory parameters including lactate dehydrogenase (LDH), neutrophil to lymphocyte ratio (NLR), systemic inflammation index (SII), platelet to lymphocyte ratio (PLR), prognostic nutrition index (PNI), carcinoembryonic antigen (CEA) and neuron-specific enolase (NSE) were obtained from the clinical laboratory of Hebei General Hospital.

Statistical analysis

ALBI grade was calculated by the following formula: 0.66x log10 [total bilirubin (µmol/l)]-0.085 [albumin (ALB) (g/l)]11. SII was calculated as PLT x NLR (16). PNI was calculated as 10x serum albumin level (g/dl) +0.005x total lymphocyte count (per mm3) (17). In a previous study, ALBI scores were divided into three scales: grade 1 (ALBI score ≤-2.60), grade 2 (-2.60<ALBI score ≤-1.39), and grade 3 (-1.39<ALBI score)14. As far as the original cut-off value is specified according to liver cancer, it is necessary to find a cut-off value which is more suitable for SCLC. Therefore, cut-off values for ALBI grade, LDH, NLR, SII, PLR, CEA, NSE were determined using receiver operating characteristic (ROC) curve analysis, which can estimate optimal sensitivity, specificity, and the area under the curve (AUC) for prediction of mortality from all causes. Pearson correlation, Chi-square test and Fisher exact test were used to compare continuous and categorical variables. Cumulative cancer specific survival curves were calculated using the Kaplan-Meier method, and differences were assessed using Log rank test. The Cox proportional hazard model was used to evaluate the predictive power of potential prognostic variables, and the hazard ratios (HR) estimated from the Cox analysis reported as relative risks with corresponding 95% confidence intervals. To eliminate the influence of confounding factors, propensity score matching (PSM) was applied. Statistical analyses were performed using the IBM SPSS statistics software program, version 22.0 (IBM Corp.). P<0.05 was considered to indicate a statistically significant difference.

Results

Patient characteristics

In the present study, 135 patients pathologically diagnosed as SCLC were enrolled. The median age was 65 years (64.24±9.71; range=14-82 years). A total of 102 patients (76%) were male and 82 patients (61%) had a history of smoking. A total of 54 patients (40%) were in limited stage. A total of 77 patients (57%) had a BMI of less than 25. As for PS scores, 1 patient (1%) had a PS score of 0, 85 patients (63%) of 1, and 43 patients (32%) scored 2. A total of 64 patients (47%) scored CCI as 0, and 68 patients (50%) scored as 1-2.

Clinicopathological characteristics associated with ALBI grade

The optimal cutoff point resulted from ROC curve analysis of ALBI grade for the layering of OS in SCLC was determined to be-2.55 (Fig. 1A), which was in close conformity with the ALBI grade 1 and 2 boundaries (-2.60). Thus, the patients were classified as follows: Group 1 (n=87, 64.4%) with pre-treatment ALBI grade ≤-2.55 for an improved hepatic reserve and group 2 (n=48, 35.6%) with ALBI grade >-2.55. Optimal cutoff points of LDH, NLR, SII, PLR, CEA, NSE were 191.45, 3.519, 874.428, 281.896, 10.29, 23.84, respectively (Fig. 1B). The relationship between baseline characteristics and ALBI grade are shown in Table I. There was a significant association between ALBI grade and age, LDH, NLR, PNI and NSE. No significant differences were observed in terms of sex, smoking, staging, BMI, PS, CCI, surgery, SII, PLR, chemotherapy, radiotherapy and CEA.

Table I

Relationship between patient characteristics and ALBI grade.

Table I

Relationship between patient characteristics and ALBI grade.

CharacteristicALBI ≤-2.55 n=87 (%)ALBI >-2.55 n=48 (%)P-value
Sex  0.300
     Male63 (61.8)39 (38.2) 
     Female24 (72.7)9 (27.3) 
Age  <0.001
     <65years53 (84.1)10 (15.9) 
     ≥65years34 (47.2)38 (52.8) 
Smoking  0.715
     Yes54 (65.9)28 (34.1) 
     No33 (62.3)20 (37.7) 
Staging  0.068
     Limited stage40 (74.1)14 (25.9) 
     Extensive stage47 (58.0)34 (42.0) 
BMI  0.208
     <2546 (59.7)31 (10.3) 
     ≥2541 (70.7)17 (29.3) 
PS  0.476
     01(100)0 (0) 
     158 (68.2)27 (31.8) 
     224 (55.8)19 (44.2) 
     34 (66.7)2 (33.3) 
CCI  0.904
     040 (62.5)24 (37.5) 
     1-245 (66.2)23 (33.8) 
     ≥32 (66.7)1 (33.1) 
Surgery  0.110
     Yes28 (75.7)9 (24.3) 
     No59 (60.2)39 (39.8) 
LDH  0.008
     <191.4552 (75.4)17 (24.6) 
     ≥191.4535 (53.0)31 (47.0) 
NLR  0.026
     <3.51960 (72.3)23 (27.7) 
     ≥3.51927 (51.9)25 (48.1) 
SII  0.143
     <874.42857 (69.5)25 (30.5) 
     ≥874.42830 (56.6)23 (43.4) 
PLR  0.607
     <281.89676 (65.5)40 (34.5) 
     ≥281.89611 (57.9)8 (42.1) 
PNI  <0.001
     <400 (0)11(100) 
     ≥4087 (70.2)37 (29.8) 
Chemotherapy  0.444
     Yes61 (67.0)30 (33.0) 
     No26 (59.1)18 (40.9) 
Radiotherapy  0.060
     Yes34 (75.6)11 (24.4) 
     No53 (58.9)37 (41.1) 
CEA  0.089
     Normal77 (67.5)37 (32.5) 
     High10 (47.6)11 (52.4) 
NSE  0.012
     Normal49 (75.4)16 (24.6) 
     High38 (54.3)32 (45.7) 

[i] ALBI, albumin-bilirubin grade; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; PNI, prognostic nutrition index; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase.

The median PFS rates in group 1 and group 2 were 8.4 months and 5.9 months, respectively. PFS was significantly improved in group 1 than in group 2 (P<0.001 using the log-rank test, Fig. 2A). The median OS rates in group 1 and group 2 were 14.6 months and 9.2 months, respectively. OS was significantly improved in group 1 compared with in group 2 (P<0.001 using the log-rank test, Fig. 2B).

Univariate and multivariate analysis of PFS and OS

Univariate analysis revealed sex, age, smoking, staging, BMI, surgery, LDH, NLR, PLR, chemotherapy, CEA, NSE and ALBI grade as significant factors for PFS. Multivariate analysis revealed that sex, surgery, LDH, chemotherapy and ALBI grade are independent risk factors for PFS (Table II). Univariate analyses showed that sex, age, smoking, staging, BMI, surgery, LDH, PLR, Chemotherapy, CEA, NSE, PNI and ALBI grade are significant factors for OS while multivariate analysis revealed surgery, LDH, BMI, chemotherapy and ALBI grade as independent risk factors for OS (Table III).

Table II

Univariate and multivariate analysis for PFS.

Table II

Univariate and multivariate analysis for PFS.

 Univariable analysisMultivariable analysis
  95% CI 95% CI
CharacteristicP-valueHRLLULP-valueHRLLUL
Sex0.0220.4970.2700.9150.0240.4050.1850.888
Age0.0181.7201.0902.7140.3260.7760.4671.288
Smoking0.0461.6091.0052.5760.6711.1290.6451.977
Staging<0.0012.6361.6124.3100.9111.0400.5242.066
BMI0.0310.6050.3810.9600.0750.6170.3631.049
PS        
     00.141       
     10.6491.7490.15719.484    
     20.2030.3940.0941.654    
     30.4620.5800.1362.477    
CCI        
     00.970       
     1-20.8041.2860.1769.390    
     ≥30.8071.2810.1759.358    
Surgery<0.0010.2870.1540.5350.0500.4000.1601.002
LDH<0.0012.3221.4683.6710.0381.7881.0343.091
NLR0.0311.6341.0432.5600.7950.9350.5621.556
SII0.1171.4300.9132.240    
PLR0.0022.3521.3294.1620.1931.6390.7793.448
Chemotherapy0.0170.5640.3510.9070.0380.5450.3070.966
Radiotherapy0.7061.0910.6931.720    
CEA0.0012.6191.4594.7020.4751.2920.6402.610
NSE<0.0013.1701.9645.1170.1701.6420.8093.333
PNI0.0610.5160.2551.044    
ALBI<0.0012.2591.4333.5620.0281.8071.0673.060

[i] PFS, progression free survival; HR, hazard ration; CI, confidence interval; LL, lower limit; UL, upper limit; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase; PNI, prognostic nutrition index; ALBI, Albumin-bilirubin grade.

Table III

Univariate and multivariate analysis for OS.

Table III

Univariate and multivariate analysis for OS.

 Univariable analysisMultivariable analysis
  95% CI 95% CI
CharacteristicP-valueHRLLULP-valueHRLLUL
Sex0.0361.8831.0323.4370.1320.5400.2421.203
Age0.0110.5560.3510.8810.4990.8350.4951.409
Smoking0.0110.5340.3270.8740.1911.4840.8212.684
Staging<0.0010.3380.2070.5530.6431.1730.5972.305
BMI0.0281.6771.0522.6740.0330.5660.3350.955
PS        
     00.250       
     10.5502.0830.18823.126    
     20.7820.8180.1983.382    
     30.7331.2840.3055.398    
CCI        
     00.763       
     1-20.6991.4810.20210.838    
     ≥30.6041.6920.23212.357    
Surgery<0.0013.7111.9896.9230.0130.3060.1200.782
LDH<0.0012.4071.5143.8280.0391.8201.0323.211
NLR0.0510.6400.4081.006    
SII0.1660.7270.4621.144    
PLR0.0150.5020.2850.8860.7880.9000.4191.936
Chemotherapy0.0032.0461.2673.3050.0090.4510.2480.821
Radiotherapy0.3481.2470.7851.981    
CEA<0.0010.3650.2040.6550.8411.0750.5302.179
NSE<0.0010.3090.1910.4980.1671.6300.8163.257
PNI0.0192.2761.1244.6100.4231.4080.6103.246
ALBI<0.0010.4090.2580.6480.0132.0111.1593.490

[i] OS, overall survival; HR, hazard ration; CI, confidence interval; LL, lower limit; UL, upper limit; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase; PNI, prognostic nutrition index; ALBI, Albumin-bilirubin grade.

ALBI grade and survival in propensity score matching analysis

To further validate the impact of ALBI grade on survival results in SCLC, a PSM analysis was employed to equalize background information of the patients. The caliper value was set as 0.15. As a result, 26 paired patients were extracted from the two groups. The relationship between baseline characteristics and ALBI grade after PSM are shown in Table IV. There were no differences in characteristics of the patients among the two groups. Univariate analysis showed that group 1 had a significantly longer PFS (HR 2.258, 95% CI 1.013-5.034, P=0.041, Fig. 3A) and OS (HR 2.591, 95% CI 1.154-5.814, P=0.017, Fig. 3B) than group 2. Multivariate analysis suggested that ALBI grade after PSM is an independent prognostic factor of PFS (HR 2.379, 95% CI 1.045-5.412, P=0.039, Table V) and OS (HR 3.496, 95% CI 1.416-8.635, P=0.007, Table VI).

Table IV

Relationship between patient characteristics and ALBI grade following PSM.

Table IV

Relationship between patient characteristics and ALBI grade following PSM.

CharacteristicBaselineALBI ≤-2.55 n=26 (%)ALBI >-2.55 n=26 (%)P-value
Sex   1.000
     Male 20 (48.8)21 (51.2) 
     Female 6 (54.5)5 (45.5) 
Age   0.779
     <65 years 12 (54.5)10 (45.5) 
     ≥65 years 14 (46.7)16 (53.3) 
Smoking   0.776
     Yes 15 (46.9)17 (53.1) 
     No 11 (55.0)9 (45.0) 
Staging   1.000
     Limited stage 11 (52.4)10 (47.6) 
     Extensive stage 15 (48.4)16 (61.6) 
BMI   1.000
     <25 15 (51.7)14 (48.3) 
     ≥25 11 (47.8)12 (52.2) 
PS   0.949
     0 0 (0)0 (0) 
     1 18 (51.4)17 (48.6) 
     2 6 (46.2)7 (53.8) 
     3 2 (50.0)2 (50.0) 
CCI   0.404
     0 14 (58.3)10 (41.7) 
     1-2 12 (42.9)16 (57.1) 
     ≥3 0 (0)0 (0) 
Surgery   1.000
     Yes 8 (53.3)7 (46.7) 
     No 18 (48.6)19 (51.4) 
LDH   1.000
     <191.45 12 (50.0)12 (50.0) 
     ≥191.45 14 (50.0)14 (50.0) 
NLR   1.000
     <3.519 16 (48.5)17 (51.5) 
     ≥3.519 10 (52.6)9 (47.4) 
SII   1.000
     <874.428 16 (48.5)17 (51.5) 
     ≥874.428 10 (52.6)9 (47.4) 
PLR   1.000
     <281.896 23 (50.0)23 (50.0) 
     ≥281.896 3 (50.0)3 (50.0) 
PNI   -
     <40 0 (0)0 (0) 
     ≥40 26 (50.0)26 (50.0) 
Chemotherapy   0.771
     Yes 18 (52.9)16 (47.1) 
     No 8 (44.4)10 (55.6) 
Radiotherapy   1.000
     Yes 7 (50.0)7 (50.0) 
     No 19 (50.0)19 (50.0) 
CEA   1.000
     Normal 23 (51.1)22 (48.9) 
     High 3 (42.9)4 (57.1) 
NSE   1.000
     Normal 11 (47.8)12 (52.2) 
     High 15 (51.7)14 (48.3) 

[i] ALBI, albumin-bilirubin grade; PSM, propensity score matching; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; PNI, prognostic nutrition index; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase.

Table V

Univariate and multivariate analysis for PFS after PSM.

Table V

Univariate and multivariate analysis for PFS after PSM.

 Univariable analysisMultivariable analysis
  95% CI 95% CI
CharacteristicP-valueHRLLULP-valueHRLLUL
Sex0.2052.1470.6417.189    
Age0.8781.0610.5002.249    
Smoking0.1481.8250.7984.177    
Staging0.0014.4741.78611.2050.2322.1180.6187.260
BMI0.2631.5400.7193.299    
PS        
     0        
     10.091       
     20.1180.2960.0651.360    
     30.5530.6220.1302.983    
CCI0.0640.4770.2141.060    
Surgery0.0020.2010.0680.5970.4740.5620.1162.723
LDH0.0572.1430.9604.784    
NLR0.3681.4310.6533.136    
SII0.9311.0360.4652.308    
PLR<0.0015.9211.96817.8150.0094.7141.46215.197
Chemotherapy0.0750.5020.2321.088    
Radiotherapy0.9211.0410.4692.311    
CEA0.0302.8951.0627.8950.1252.3840.7857.235
NSE0.0033.3041.4337.6150.5741.4230.4174.855
PNI        
ALBI0.0412.2581.0135.0340.0392.3791.0455.412

[i] PFS, progression free survival; PSM, propensity score matching; HR, hazard ration; CI, confidence interval; LL, lower limit; UL, upper limit; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase; PNI, prognostic nutrition index; ALBI, albumin-bilirubin grade.

Table VI

Univariate and multivariate analysis for OS after PSM.

Table VI

Univariate and multivariate analysis for OS after PSM.

 Univariable analysisMultivariable analysis
  95% CI 95% CI
CharacteristicP-valueHRLLULP-valueHRLLUL
Sex0.1430.4480.1501.342    
Age0.7131.1520.5422.451    
Smoking0.0552.2480.9645.244    
Staging<0.0015.1261.96213.3940.1162.7100.7829.399
BMI0.2280.6270.2911.349    
PS        
     0        
     10.138       
     20.4710.5810.1332.543    
     30.7381.2990.2806.019    
CCI0.0961.9220.8814.193    
Surgery0.0010.1790.0600.5380.1890.3570.0761.663
LDH0.0312.3581.0595.2510.1372.0490.7975.270
NLR0.4221.3830.6253.060    
SII0.9571.0230.4542.304    
PLR0.0213.0201.1258.1070.2551.9360.6206.044
Chemotherapy0.0540.4740.2181.030    
Radiotherapy0.5980.8050.3591.804    
CEA0.0272.9651.0808.1420.6521.2880.4293.865
NSE0.0023.4641.4988.0100.7800.8440.2572.769
PNI        
ALBI0.0172.5911.1545.8140.0073.4961.4168.635

[i] OS, overall survival; PSM, propensity score matching; HR, hazard ration; CI, confidence interval; LL, lower limit; UL, upper limit; BMI, body mass index; PS, performance status; CCI, Charlson comorbidity index; LDH, lactate dehydrogenase; NLR, neutrophil to lymphocyte ratio; SII, systemic immune-inflammation index; PLR, platelet to lymphocyte ratio; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase; PNI, prognostic nutrition index; ALBI, Albumin-bilirubin grade.

Discussion

The present study retrospectively investigated the impact of pre-treatment ALBI grade on the prognosis of SCLC. It clarified that ALBI grade is an important prognostic factor of PFS and OS in univariate and multivariate analysis. To the best of the authors' knowledge, this is the first study to show the prognostic importance of ALBI grade in patients with SCLC. The results showed that ALBI grade was highly associated with age and LDH. The two factors showed prognostic power in patients with SCLC, which may be as confounding factors and cause a bias in the present study. In order to eliminate the influence of confounding factors, PSM was performed. After matching, ALBI grade proved to be an independent prognostic factor for the prognosis of SCLC. Sex, age, smoking, BMI and several clinical parameters were indicated to have prognostic power in patients with SCLC from univariate analysis before PSM. However, those factors showed no statistical difference after PSM, which may be due to the synergy with other factors including ALBI.

The liver can be partly regarded as an immune organ as it contains a large number of immune cells (18). Previous studies have indicated that impaired liver function has important effects on the systemic immune response in alcoholic liver injury and viral hepatitis (19,20). It is reported that decreased liver function can cause changes in T cell repertoires which play an important role in cellular immunity, and the effect may take place from the early stage of cirrhosis (20,21). As a result, the anti-tumor immune response of patients with liver disease may be weaker than normal patients. ALBI grade, as an indicator of liver function, can closely reflect the immune status of the whole body (22,23). Thus, ALBI grade may have a predictive power on anti-tumor immune response. In addition, studies have proved that a decrease of albumin, which compose the ALBI, can be an indicator of decreased liver reserve and increased inflammatory response in the tumor microenvironment (24,25). Hypoalbuminemia has been reported to indicate inflammation and prognosis in patients with non-small cell lung cancer (NSCLC) (26). Inflammation and immunity can affect the tumor microenvironment by influencing the formation of blood vessels (27,28), thereby further affecting the prognosis of SCLC. Therefore, the immune inflammatory response is considered to have prognostic power on patients with SCLC, which could be one of the mechanisms of the prognostic effect of ALBI grade (15,29).

Several inflammatory indicators were recorded and analyzed including NLR, SII and PLR, which have been proved to be important in predicting the prognosis of lung cancer, according to previous reports (30-32). NLR showed predictive effect of PFS in univariate analysis and PLR showed predictive effect of both PFS and OS. However, neither of the two factors had statistical significance in multivariate analysis. The results indicated that although immunity and inflammation have a predictive effect on the prognosis of SCLC, they may not have independent prognostic power. There may be synergistic factors that interact with immune inflammatory responses. This also reflects that there are other mechanisms for the prognostic effect of ALBI on patients with SCLC.

Nutrition and metabolism play an important role in tumor progression. Malnutrition in cancer patients can impair quality of life and response to treatment (33). BMI, PNI and ALB, which can reflect nutrition and metabolism to a certain extent, have been proved to be important parameters for assessing nutritional status (34-37). According to previous studies, these three factors are closely associated with the survival rate of advanced lung cancer (26,35-38). Therefore, they may have prognostic use for patients with SCLC. Previous studies have shown that weight loss in patients with advanced cancer may increase the risk of mortality (39,40). In the present study, BMI ≥25 indicated longer PFS and OS, and PNI ≥40 indicated longer OS. This confirmed that nutritional status has a certain effect on the prognosis of patients with SCLC. In addition, liver function can also reflect nutrition and metabolism (41). Bilirubin plays an important role in liver metabolism. Li et al (42) reported that elevated serum bilirubin levels are associated with improved survival in patients with NSCLC. There is evidence that serum bilirubin levels are associated with incidence and mortality of lung cancer in smokers (43). Therefore, to a large extent, bilirubin may be able to evaluate the prognosis of patients with SCLC. ALBI grade, consisting of albumin and bilirubin, may reflect the nutrition and metabolism status in patients with SCLC, which may be a mechanism of the prognostic effect.

One of the most important indicators in ALBI is ALB, which can directly affect the value of ALBI. ALB can bind and transport various endogenous and exogenous substances and promote their transport in the circulation (44). In addition, ALB can bind to a variety of drugs, affecting their release in target tissues (45). Previous studies (46,47) showed that ALB levels may affect the benefit of chemotherapy in elderly cancer patients. The present study also found that higher ALB levels and lower ALBI levels were associated with longer PFS and OS.

In addition, LDH has been reported as a prognostic indicator of SCLC and it can also predict the response to treatment of patients with SCLC (48). This may be due to the estimation ability of LDH on tumor burden. In the present study, LDH showed independent prognostic power for both PFS and OS of patients with SCLC. The results of the present study also indicated that LDH is strongly correlated with ALBI grade. Following PSM, LDH showed no statistical significance in multivariate analysis, which indicated that LDH may have a similar mechanism to ALBI grade in affecting the prognosis of SCLC. Therefore, it is hypothesized that ALBI grade can predict the effect of medication on patients with SCLC. Chemotherapy is currently one of the most important medical treatments for SCLC. The present study confirmed that chemotherapy can be an independent prognostic factor for SCLC. In addition, the importance of ALBI grade to predict the therapeutic effect of chemotherapy has been previously reported in hepatocellular carcinomas and gastric cancer (13,14,49) Therefore, ALBI grade may be predictive of the effectiveness of chemotherapy or post-recurrence chemotherapy on patients with SCLC to achieve prognostic evaluation effect.

In the present study, a total of 81 patients had distant metastases, mostly bone metastases, brain metastases and abdominal organ metastases. Only 15 patients had liver metastases, although ALBI values may have an effect in these patients with liver metastases. However, the main purpose of the present study was to discuss the relationship between ALBI and the prognosis of patients with SCLC, so it was considered that this would not affect the final results of the present study.

However, there are several limitations to the present study. First, this is a single-center retrospective study and there may be bias on patient selection and data collection. Second, the small number of samples may lead to poor credibility of the hypothesis. Large-scale prospective studies and experiments are needed to consolidate the conclusion of the present study and further explore the mechanism.

The present study showed that pre-treatment ALBI grade can be an independent prognostic factor in SCLC, of which the mechanisms may be associated with the immune inflammatory responses, nutrition and the response to chemotherapy.

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

SL carried out experimental design and data statistics. QZ provided experimental guidance and result analysis. ZW was a major contributor to writing the manuscript. XZ conducted experimental design and helped write the manuscript. SL and ZB confirm the authenticity of all the raw data. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Ethical Committee of Hebei General Hospital approved the present study and informed consent was waived (approval no. 2022061). The authors confirm the confidentiality of the data maintained and compliance with the Declaration of Helsinki.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 68:394–424. 2018.PubMed/NCBI View Article : Google Scholar

2 

Wang D, Guo D, Shi F, Zhu Y, Li A, Kong L, Teng F and Yu J: The predictive effect of the systemic immune-inflammation index for patients with small-cell lung cancer. Future Oncol. 15:3367–3379. 2019.PubMed/NCBI View Article : Google Scholar

3 

Frese KK, Simpson KL and Dive C: Small cell lung cancer enters the era of precision medicine. Cancer Cell. 39:297–299. 2021.PubMed/NCBI View Article : Google Scholar

4 

Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015.PubMed/NCBI View Article : Google Scholar

5 

van Meerbeeck JP, Fennell DA and De Ruysscher DK: Small-cell lung cancer. Lancet. 378:1741–1755. 2011.PubMed/NCBI View Article : Google Scholar

6 

Zhan W, Liu Y, Gao Y, Gong R, Wang W, Zhang R, Wu Y, Kang T and Wei D: RMI2 plays crucial roles in growth and metastasis of lung cancer. Signal Transduct Target Ther. 5(188)2020.PubMed/NCBI View Article : Google Scholar

7 

Go SI, Jeon H, Park SW, Kang MH, Kim HG and Lee GW: Low pre-treatment nutritional index is significantly related to poor outcomes in small cell lung cancer. Thorac Cancer. 9:1483–1491. 2018.PubMed/NCBI View Article : Google Scholar

8 

Lee SK, Song MJ, Kim SH and Park M: Comparing various scoring system for predicting overall survival according to treatment modalities in hepatocellular carcinoma focused on Platelet-albumin-bilirubin (PALBI) and albumin-bilirubin (ALBI) grade: A nationwide cohort study. PLoS One. 14(e0216173)2019.PubMed/NCBI View Article : Google Scholar

9 

Tsilimigras DI, Hyer JM, Moris D, Sahara K, Bagante F, Guglielmi A, Aldrighetti L, Alexandrescu S, Marques HP, Shen F, et al: Prognostic utility of Albumin-bilirubin grade for short- and long-term outcomes after hepatic resection for intrahepatic cholangiocarcinoma: A multi-institutional analysis of 706 patients. J Surg Oncol. 120:206–213. 2019.PubMed/NCBI View Article : Google Scholar

10 

Kanda M, Tanaka C, Kobayashi D, Uda H, Inaoka K, Tanaka Y, Hayashi M, Iwata N, Yamada S, Fujii T, et al: Preoperative Albumin-bilirubin grade predicts recurrences after radical gastrectomy in patients with pT2-4 gastric cancer. World J Surg. 42:773–781. 2018.PubMed/NCBI View Article : Google Scholar

11 

Albers I, Hartmann H, Bircher J and Creutzfeldt W: Superiority of the Child-pugh classification to quantitative liver function tests for assessing prognosis of liver cirrhosis. Scand J Gastroenterol. 24:269–276. 1989.PubMed/NCBI View Article : Google Scholar

12 

Johnson PJ, Berhane S, Kagebayashi C, Satomura S, Teng M, Reeves HL, O'Beirne J, Fox R, Skowronska A, Palmer D, et al: Assessment of liver function in patients with hepatocellular carcinoma: A new evidence-based approach-the ALBI grade. J Clin Oncol. 33:550–558. 2015.PubMed/NCBI View Article : Google Scholar

13 

Zhao S, Zhang T, Li H, Wang M, Xu K, Zheng D, Du X and Liu L: Comparison of albumin-bilirubin grade versus Child-Pugh score in predicting the outcome of transarterial chemoembolization for hepatocellular carcinoma using time-dependent ROC. Ann Transl Med. 8(538)2020.PubMed/NCBI View Article : Google Scholar

14 

Yagyu T, Saito H, Sakamoto T, Uchinaka EI, Morimoto M, Amisaki M, Watanabe J, Tokuyasu N, Honjo S, Ashida K and Fujiwara Y: Preoperative Albumin-bilirubin grade as a useful prognostic indicator in patients with pancreatic cancer. Anticancer Res. 39:1441–1446. 2019.PubMed/NCBI View Article : Google Scholar

15 

Kinoshita F, Yamashita T, Oku Y, Kosai K, Ono Y, Wakasu S, Haratake N, Toyokawa G, Takenaka T, Tagawa T, et al: Prognostic impact of Albumin-bilirubin (ALBI) Grade on Non-small lung cell carcinoma: A Propensity-score matched analysis. Anticancer Res. 41:1621–1628. 2021.PubMed/NCBI View Article : Google Scholar

16 

Chen JH, Zhai ET, Yuan YJ, Wu KM, Xu JB, Peng JJ, Chen CQ, He YL and Cai SR: Systemic immune-inflammation index for predicting prognosis of colorectal cancer. World J Gastroenterol. 23:6261–6272. 2017.PubMed/NCBI View Article : Google Scholar

17 

Cadwell JB, Afonso AM and Shahrokni A: Prognostic nutritional index (PNI), independent of frailty is associated with six-month postoperative mortality. J Geriatr Oncol. 11:880–884. 2020.PubMed/NCBI View Article : Google Scholar

18 

Racanelli V and Rehermann B: The liver as an immunological organ. Hepatology. 43 (2 Suppl 1):S54–S62. 2006.PubMed/NCBI View Article : Google Scholar

19 

Tuchendler E, Tuchendler PK and Madej G: Immunodeficiency caused by cirrhosis. Clin Exp Hepatol. 4:158–164. 2018.PubMed/NCBI View Article : Google Scholar

20 

Albillos A, Lario M and Álvarez-Mon M: Cirrhosis-associated immune dysfunction: Distinctive features and clinical relevance. J Hepatol. 61:1385–1396. 2014.PubMed/NCBI View Article : Google Scholar

21 

Irvine KM, Ratnasekera I, Powell EE and Hume DA: Causes and consequences of innate immune dysfunction in cirrhosis. Front Immunol. 10(293)2019.PubMed/NCBI View Article : Google Scholar

22 

Robinson MW, Harmon C and O'Farrelly C: Liver immunology and its role in inflammation and homeostasis. Cell Mol Immunol. 13:267–276. 2016.PubMed/NCBI View Article : Google Scholar

23 

Noor MT and Manoria P: Immune dysfunction in cirrhosis. J Clin Transl Hepatol. 5:50–58. 2017.PubMed/NCBI View Article : Google Scholar

24 

Lipschitz DA: Protein-energy malnutrition. Hosp Pract (Off Ed). 23:87–99. 1988.PubMed/NCBI View Article : Google Scholar

25 

Harimoto N, Yoshizumi T, Sakata K, Nagatsu A, Motomura T, Itoh S, Harada N, Ikegami T, Uchiyama H, Soejima Y and Maehara Y: Prognostic significance of preoperative controlling nutritional status (CONUT) score in patients undergoing hepatic resection for hepatocellular carcinoma. World J Surg. 41:2805–2812. 2017.PubMed/NCBI View Article : Google Scholar

26 

Tomita M, Ayabe T, Chosa E and Nakamura K: Prognostic significance of pre- and postoperative glasgow prognostic score for patients with non-small cell lung cancer. Anticancer Res. 34:3137–3140. 2014.PubMed/NCBI

27 

Coussens LM and Werb Z: Inflammation and cancer. Nature. 420:860–867. 2002.PubMed/NCBI View Article : Google Scholar

28 

Mantovani A, Allavena P, Sica A and Balkwill F: Cancer-related inflammation. Nature. 454:436–444. 2008.PubMed/NCBI View Article : Google Scholar

29 

Pinato DJ, Sharma R, Citti C, Platt H, Ventura-Cots M, Allara E, Chen TY, Dalla Pria A, Jain M, Mínguez B, et al: The albumin-bilirubin grade uncovers the prognostic relationship between hepatic reserve and immune dysfunction in HIV-associated hepatocellular carcinoma. Aliment Pharmacol Ther. 47:95–103. 2018.PubMed/NCBI View Article : Google Scholar

30 

Guo W, Cai S, Zhang F, Shao F, Zhang G, Zhou Y, Zhao L, Tan F, Gao S and He J: Systemic immune-inflammation index (SII) is useful to predict survival outcomes in patients with surgically resected non-small cell lung cancer. Thorac Cancer. 10:761–768. 2019.PubMed/NCBI View Article : Google Scholar

31 

Thompson D, Perry LA, Renouf J, Vodanovich D, Hong Lee AH, Dimiri J and Wright G: Prognostic utility of inflammation-based biomarkers, neutrophil-lymphocyte ratio and change in neutrophil-lymphocyte ratio, in surgically resected lung cancers. Ann Thorac Med. 16:148–155. 2021.PubMed/NCBI View Article : Google Scholar

32 

Han Y, Wang J, Hong L, Sun L, Zhuang H, Sun B, Wang H, Zhang X and Ren X: Platelet-lymphocyte ratio is an independent prognostic factor in patients with ALK-positive non-small-cell lung cancer. Future Oncol. 13:51–61. 2017.PubMed/NCBI View Article : Google Scholar

33 

Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, Jatoi A, Loprinzi C, MacDonald N, Mantovani G, et al: Definition and classification of cancer cachexia: An international consensus. Lancet Oncol. 12:489–495. 2011.PubMed/NCBI View Article : Google Scholar

34 

Jin Y, Zhao L and Peng F: Prognostic impact of serum albumin levels on the recurrence of stage I non-small cell lung cancer. Clinics. 68:686–693. 2013.PubMed/NCBI View Article : Google Scholar

35 

Nakagawa T, Toyazaki T, Chiba N, Ueda Y and Gotoh M: Prognostic value of body mass index and change in body weight in postoperative outcomes of lung cancer surgery. Interact Cardiovasc Thorac Surg. 23:560–566. 2016.PubMed/NCBI View Article : Google Scholar

36 

Tewari N, Martin-Ucar AE, Black E, Beggs L, Beggs FD, Duffy JP and Morgan WE: Nutritional status affects long term survival after lobectomy for lung cancer. Lung Cancer. 57:389–394. 2007.PubMed/NCBI View Article : Google Scholar

37 

Watanabe H, Yamada T, Komori K, Hara K, Kano K, Takahashi K, Kumazu Y, Fujikawa H, Numata M, Aoyama T, et al: Effect of prognostic nutrition index in gastric or Gastro-oesophageal junction cancer patients undergoing nivolumab monotherapy. In Vivo. 35:563–569. 2021.PubMed/NCBI View Article : Google Scholar

38 

Yotsukura M, Ohtsuka T, Kaseda K, Kamiyama I, Hayashi Y and Asamura H: Value of the glasgow prognostic score as a prognostic factor in resectable non-small cell lung cancer. J Thorac Oncol. 11:1311–1318. 2016.PubMed/NCBI View Article : Google Scholar

39 

McMillan DC: An inflammation-based prognostic score and its role in the nutrition-based management of patients with cancer. Proc Nutr Soc. 67:257–262. 2008.PubMed/NCBI View Article : Google Scholar

40 

Shepshelovich D, Xu W, Lu L, Fares A, Yang P, Christiani D, Zhang J, Shiraishi K, Ryan BM, Chen C, et al: Body Mass Index (BMI), BMI change, and overall survival in patients with SCLC and NSCLC: A pooled analysis of the international lung cancer consortium. J Thorac Oncol. 14:1594–1607. 2019.PubMed/NCBI View Article : Google Scholar

41 

Kotoh Y, Saeki I, Yamasaki T, Sasaki R, Tanabe N, Oono T, Maeda M, Hidaka I, Ishikawa T, Takami T and Sakaida I: Albumin-bilirubin score as a useful predictor of energy malnutrition in patients with hepatocellular carcinoma. Clin Nutr. 40:3585–3591. 2021.PubMed/NCBI View Article : Google Scholar

42 

Li N, Xu M, Cai MY, Zhou F, Li CF, Wang BX, Ou W and Wang SY: Elevated serum bilirubin levels are associated with improved survival in patients with curatively resected non-small-cell lung cancer. Cancer Epidemiol. 39:763–768. 2015.PubMed/NCBI View Article : Google Scholar

43 

Wen CP, Zhang F, Liang D, Wen C, Gu J, Skinner H, Chow WH, Ye Y, Pu X, Hildebrandt MA, et al: The ability of bilirubin in identifying smokers with higher risk of lung cancer: A large cohort study in conjunction with global metabolomic profiling. Clin Cancer Res. 21:193–200. 2015.PubMed/NCBI View Article : Google Scholar

44 

Otagiri M: A molecular functional study on the interactions of drugs with plasma proteins. Drug Metab Pharmacokinet. 20:309–323. 2005.PubMed/NCBI View Article : Google Scholar

45 

Kragh-Hansen U, Chuang VT and Otagiri M: Practical aspects of the ligand-binding and enzymatic properties of human serum albumin. Biol Pharm Bull. 25:695–704. 2002.PubMed/NCBI View Article : Google Scholar

46 

Ikeda S, Yoshioka H, Ikeo S, Morita M, Sone N, Niwa T, Nishiyama A, Yokoyama T, Sekine A, Ogura T and Ishida T: Serum albumin level as a potential marker for deciding chemotherapy or best supportive care in elderly, advanced non-small cell lung cancer patients with poor performance status. BMC Cancer. 17(797)2017.PubMed/NCBI View Article : Google Scholar

47 

Ito S, Ito H, Sato N, Hirayama Y, Kusakabe T, Terui T and Ishitani K: Clinical factors associated with the therapeutic outcome of chemotherapy in very elderly cancer patients. Int J Clin Oncol. 24:596–601. 2019.PubMed/NCBI View Article : Google Scholar

48 

Hsieh AH, Tahkar H, Koczwara B, Kichenadasse G, Beckmann K, Karapetis C and Sukumaran S: Pre-treatment serum lactate dehydrogenase as a biomarker in small cell lung cancer. Asia Pac J Clin Oncol. 14:e64–e70. 2018.PubMed/NCBI View Article : Google Scholar

49 

Pinato DJ, Sharma R, Allara E, Yen C, Arizumi T, Kubota K, Bettinger D, Jang JW, Smirne C, Kim YW, et al: The ALBI grade provides objective hepatic reserve estimation across each BCLC stage of hepatocellular carcinoma. J Hepatol. 66:338–346. 2017.PubMed/NCBI View Article : Google Scholar

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Liu S, Zhao Q, Wang Z, Zhao B and Zhang X: Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer. Mol Clin Oncol 20: 12, 2024
APA
Liu, S., Zhao, Q., Wang, Z., Zhao, B., & Zhang, X. (2024). Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer. Molecular and Clinical Oncology, 20, 12. https://doi.org/10.3892/mco.2023.2710
MLA
Liu, S., Zhao, Q., Wang, Z., Zhao, B., Zhang, X."Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer". Molecular and Clinical Oncology 20.2 (2024): 12.
Chicago
Liu, S., Zhao, Q., Wang, Z., Zhao, B., Zhang, X."Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer". Molecular and Clinical Oncology 20, no. 2 (2024): 12. https://doi.org/10.3892/mco.2023.2710