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Erschienen in: BMC Cancer 1/2017

Open Access 01.12.2017 | Research article

Prognostic value of pretreatment serum alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio and gamma glutamyltransferase (GGT) in patients with esophageal squamous cell carcinoma

verfasst von: Hao Huang, Xue-Ping Wang, Xiao-Hui Li, Hao Chen, Xin Zheng, Jian-Hua Lin, Ting Kang, Lin Zhang, Pei-Song Chen

Erschienen in: BMC Cancer | Ausgabe 1/2017

Abstract

Background

The levels of liver function tests (LFTs) are often used to assess liver injury and non-liver disease-related mortality. In our study, the relationship between pretreatment serum LFTs and overall survival (OS) was evaluated in esophageal squamous cell carcinoma (ESCC) patients.

Methods

Our purpose was to investigate the prognostic value of the preoperative alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio and gamma glutamyltransferase (GGT) in ESCC patients. A retrospective study was performed in 447 patients with ESCC, and follow-up period was at least 60 months until death. The prognostic significance of serum LFTs were determined by univariate and multivariate Cox hazard models.

Results

LFTs including ALT, AST, LSR, GGT, TBA and LDH were analyzed. Serum LSR (HR: 0.592, 95% CI = 0.457–0.768, p < 0.001 and GGT (HR: 1.507, 95% CI = 1.163–1.953, p = 0.002) levels were indicated as significant predictors of OS. The 5-year OS among patients with higher LSR levels was longer compared with those patients with decreased LSR levels, not only in the whole cohort but also in the subgroups stratified by pathological stage (T1–T2 subgroup, T3–T4 subgroup, N0 subgroup and M0 subgroup). We also found that patients with a higher GGT might predict worse OS than patients with a normal GGT, not only in the whole cohort but also in the subgroups stratified by pathological stage (T3–T4 subgroup and N1-N2 subgroup).

Conclusions

Both increased levels of LSR and decreased levels of GGT might predict shorter overall survival in ESCC patients. Our findings suggest that serum LSR and GGT levels could be used as a key predictor of survival in patients with ESCC.
Abkürzungen
ALT
Alanine Aminotransferase
AST
Aspartate Aminotransferase
CEA
Carcino-embryonic antigen
CYFRA21-1
Cytokeratin 19 fragments
ESCC
Esophageal squamous cell carcinoma
GGT
Gamma glutamyltransferase
GSH
Glutathione
LDH
Lactate dehydrogenase.
LFTs
liver function tests
LSR
ALT/AST Ratio
SCC
Squamous cell carcinoma antigen
TBA
Total bile acid

Background

Esophageal cancer is one of the most prevalent malignant diseases worldwide, among all histologic types, esophageal squamous cell carcinoma (ESCC) occupies major portion [1, 2], and has the sixth mortality rates of any cancer globally. Most patients with ESCC will receive optional therapeutic options, such as surgery only, surgery with adjuvant chemotherapy, and adjuvant systemic therapy which may consist of radiotherapy, or a combination of these treatments. However, the overall 5-year survival rate of patients treated with only surgical resection is less than 20% [3, 4]. As treatment plans are becoming more individualized for each patient, it is important to assess disease progression in a timely manner while accurately evaluating the prognosis [5]. To date, various serum biomarkers, such as SCC, CYFRA21-1and CEA, have been served as the valuable markers to estimate the prognosis of ESCC patients [6]. However, the sensitivity and specificity are not sufficient or reliable. Furthermore, correlations between ESCC survival and thrombin time (TT) [7] or apolipoprotein A1 (Apo-A1) [8] have been reported in our previous study. Thus, in order to improve the posttreatment survival of patients, identification of more effective and accurate biomarker of ESCC is a necessity.
The routine blood sample that examines liver function tests (LFTs), partly consist of alanine aminotransferase (ALT), aspartate aminotransferase (AST), the level of ALT/AST ratio (LSR), total bile acid (TBA), gamma glutamyltransferase (GGT), and lactate dehydrogenase (LDH). LFTs are often included as routine tests for many different liver and non-liver diseases and are often obtained at initial consultation. Furthermore, changes in LFTs levels in cancer patients before and after neoadjuvant treatment are closely related to postoperative recurrence, such as breast cancer [9], gastric adenocarcinoma and other cancers. Serum ALT and AST are the circulating transaminases in the body, and are specific markers of liver dysfunction, which can generate products in gluconeogenesis and amino acid metabolism through catalyzing the transfer of amino groups [10, 11]. Many studies have indicated that serum levels of ALT and AST may be correlated with hepatitis tumors [12], type 2 diabetes mellitus [13], cardiovascular disease [14] and other diseases, and is the level of ALT/AST ratio (LSR). However, no studies were used to evaluate the relationship between the pretreatment serum LSR and survival of ESCC patients. Furthermore, as a key enzyme in glutathione (GSH) metabolism, GGT is the major antioxidant of the cell, which have played a key role in neutralizing reactive oxygen compounds and free radicals by catalyzing the degradation of extracellular GSH [15]. Previous studies have reported on the associations of serum GGT levels with the risk of cancer [16, 17]. This study was designed to conduct a retrospective cohort analysis to explore the predictive role of the LSR and GGT on overall survival (OS) in patients with ESCC.

Methods

Patients

A total of 447 eligible patients (346 men and 101 women) confirmed as ESCC at the Sun Yat-sen University Cancer Center, China, were identified in the present study from January 2007 to July 2010. The main clinical characteristics are described in Table 1. The inclusion and exclusion criteria were included in our previous study especially for LFTs [8]. All patients were pathologically confirmed as ESCC, and exclusion criteria were as follows: (1) patients who received any drugs known to affect LFTs or surgery before being enrolled in this study; (2) patients who were diagnosed with liver diseases, cardiovascular disease, diabetes or metabolic syndrome, which could influence the serum LFTs; (3) patients with other types of tumors. In addition, the pathological stage of tumor was evaluated using the American Joint Committee on Cancer Staging system (AJCC, 2002; Greene) [18]. Only the first record of hospitalizations were retained, and all the patients had undergone treatment. Clinical data, such as demographic data, pathological stage (pTNM), alcohol consumption, therapeutic schemes, survival status and the levels of LFTs were available for all patients. The alcohol index was classified into ‘drinking’ and ‘not drinking’. All 447 patients underwent surgical resection. Specifically, 53.2% (238/447) patients underwent tumor resection only, and 3.8% (17/447) patients received unknown therapy. Furthermore, 36.2% (162/447) ESCC patients experienced chemotherapy after surgery, while 6 patients experienced radiation and 24 patients experienced both radiation and chemotherapy after surgery. Treatment strategies were determined by the pathological stage, the doctors’ opinions and the patient wishes. Primary esophagectomy and regional lymphadenectomy was included in this study as surgical procedure [19]. As adjuvant chemotherapy, a two-drug regimen of platinum-based drugs were administered for 4–6 cycles. Postoperative radiation of 46–64 Gy was mainly applied to the anastomosis, supraclavicular, and mediastinal lymphatics.
Table 1
Main clinical characteristics and parameters in 447 patients with ESCC
Characteristics
Median (25th–75th percentile) or no. (%)
Gender (n)
 Male
346 (77.4)
 Female
101 (22.6)
Age
  < 59 years
233 (52.1)
  ≥ 59 years
214 (47.9)
Alcohol (n)
 No
261 (58.4)
 Yes
186 (41.6)
Tumor location
 Upper
41 (9.2)
 Middle
278 (62.2)
 Lower
128 (28.6)
Stage (n)
 I and II
235 (52.6)
 III and IV
212 (47.4)
Treatment (n)
 Surgery only
238 (53.2)
 Surgery and chemotherapy
179 (40.0)
 Surgery and radiotherapy
6 (1.3)
 Surgery and chemotherapy and radiotherapy
24 (5.4)
Deads (n)
 No
199 (44.5)
 Yes
248 (55.5)
Tests
 GGT
23.1 (16.8–35.2)
 LDH
154.4 (135.7–174.2)
 TBA
4.14 (2.43–6.65)
 ALT
15.1 (11.5–20.8)
 AST
18.2 (15.8–22.1)
 ALT/AST
0.82 (0.67–1.02)

Assessment of LFTs and follow-up

Patients received routine serum tests for biochemical detection at the first visit in our hospital. Serum samples were collected between 7 and 8 a.m., and were centrifuged at 3500 g/min for 8 min to allow serum separation. The levels of ALT, AST, GGT, TBA, and LDH were measured in serum using a Hitachi 7600 automatic biochemical analyzer (Hitachi High-Technologies, Tokyo, Japan). The LSR was calculated as the serum ALT level divided by the serum AST level.
Prior to use of these sera, all patients signed an informed consent. The follow-up method was same as that of our previous study [8]. The last follow-up session was in January 2016. This study was conducted with the approval of the Institute Research Ethics Committee of the Sun Yat-Sen University Cancer Center, Guangzhou, China.

Statistical analysis

Data analyses were done using SPSS 16.0 for Windows software (IBM, Chicago, IL, USA). OS was calculated between the first diagnosis of ESCC and death, or final clinical follow-up. Data were expressed as the median. A Cox proportional-hazard model for multivariable analysis was applied for variables that proved to be significant in the univariate analysis. The Kaplan-Meier method and the log-rank test were used to plot the survival curves of this survey. The correlation between LSR, GGT and clinical characteristics was analyzed using the Mann–Whitney U test and χ2 test. A two tailed P value <0.05 was considered statistically significant.

Results

Patient characteristics

From January 2007 to July 2010, 447 patients had pathologically confirmed ESCC were recruited in this study. Pretreatment serum ALT, AST, GGT, TBA, and LDH levels were confirmed in all patients. Patient characteristics are summarized in Table 1. Median age was 59 years, and 77.4% of patients were males. The pathological stage of I-II and III-IV were observed in 235 (52.6%) and 212 (47.4%) patients, respectively. 238 (53.2%) of the 447 patients underwent surgery only (155 patients in stage I–II and 83 patients in stage III-IV), and 192 of these patients received the comprehensive treatment scheme (162 (36.2%) with surgery and chemotherapy; 6 (1.3%) with surgery and radiotherapy; 24 (5.4%) patients with surgery, chemotherapy, and radiotherapy), and 17 (3.8%) patients with unknown treatment after surgery. The follow-up period was from 1 month to 5 years, there were 199 patients still alive and 248 cancer-related deaths at the last clinical follow-up session.

Univariate and multivariate analyses of prognostic factors

To estimate the predict value of the pretreatment LFTs in ESCC, the clinical datum (including age, gender, alcohol index, T classification, node metastasis, M status, TNM stage, histological differentiation, and treatment strategies) and the LFTs were included for univariate and multivariate analysis. In univariate analysis, significantly associations between clinical stage (HR: 3.132, 95% CI = 2.048–4.074, p < 0.001), treatment strategies (HR: 0.223, 95% CI = 1.050–1.425, p < 0.001), alcohol index (HR: 1.346, 95% CI =1.049–1.728, p = 0.020), GGT (HR: 1.395, 95% CI = 1.085–1.793, p = 0.01) and LSR (HR: 0.615, 95% CI = 0.478–0.792, p < 0.001) and overall survival were found, whereas age, gender, histological differentiation, LDH, and TBA were not significantly associated with OS (Table 2).
Table 2
Univariate and multivariate cox hazards analysis for overall survival in 447 patients with ESCC
 
Univariate analysis
Multivariate analysis
Variables
HR
95% CI
p value**
HR
95% CI
p value**
Gender
 Male vs. Female
1.119
0.837–1.497
0.448
0.876
0.679–1.131
0.310
Age (years)
  < 59 vs. ≥ 59
0.985
0.768–1.264
0.905
1.124
0.838–1.506
0.435
Histological differentiation (129)
 Differentiated vs. Undifferentiated
1.242
0.908–1.701
0.176
   
T classification
 T3–4 vs. T1–2
1.851
1.356–2.525
0.000
   
N classification
 Yes vs. No
3.029
2.324–3.948
0.000
   
Metastasis
 Yes vs. No
4.049
2.308–7.103
0.000
   
TNM stage
 III-IV vs. I-II
3.132
2.048–4.074
0.000
2.956
2.269–3.852
0.000
Tumor location
 Upper vs. Middle vs. Lower
1.215
0.984–1.501
0.071
   
Alcohol history
 Yes vs. No
1.346
1.049–1.728
0.020
1.238
0.950–1.612
0.114
Treatment(n)
 Surgery only
1.235
1.063–1.434
0.006
1.083
0.953–1.231
0.221
Surgery and chemotherapy
Surgery and radiotherapy
Surgery and chemotherapy and radiotherapy
Tests
GGT
  ≥ 23.1 vs. <23.1
1.395
1.085–1.793
0.01
1.507
1.163–1.953
0.002
LDH
  ≥ 154.4 vs. <154.4
1.046
0.815–1.344
0.722
   
TBA
  ≥ 4.14 vs. < 4.14
1.172
0.912–1.506
0.215
   
ALT
  ≥ 15.1 vs. < 15.1
0.718
0.558–0.924
0.01
0.913
0.658–1.268
0.588
AST
  ≥ 18.2 vs. <18.2
1.021
0.795–1.312
0.87
   
ALT/AST(LSR)
  ≥ 0.82 vs. <0.82
0.615
0.478–0.792
0.000
0.592
0.457–0.768
0.000
HR Hazard ratio, 95% CI 95% confidence interval
**Cox hazard regression model
Multivariate analysis (Cox proportional hazards model) was carried out including all the variables identified as predictors of OS in the aforementioned univariate analysis, to evaluate whether these variables could be used as independent predictive factor for ESCC. The results revealed that pathological stage (HR: 2.956, 95% CI = 2.269 – 3.852, p < 0.001), GGT (HR: 1.507, 95% CI = 1.163 – 1.953, p = 0.002), and LSR (HR: 0.592, 95% CI = 0.457 – 0.768, p < 0.001) were independent and significant predictors for OS.

Prognostic significance of LSR and GGT according to pathological stage and treatment strategies

In the Kaplan-Meier analysis, LSR and GGT type was closely associated with OS (Fig. 1a, Fig. 2a). In the whole cohort, the OS in patients with higher LSR (mean, 42.3 months) was 7.9 months longer compared with those with lower LSR type (mean, 34.4 months), and cumulative 5-year survival rate were 65.4% vs. 35.9% (higher LSR group, lower LSR group, respectively). Meanwhile, the OS was 5.4 months longer in patients with lower GGT (mean, 35.7 months) compared with those with higher GGT type (mean, 41.1 months), and the cumulative 5-year survival rate were 50.45% vs. 38.7% (lower GGT group, higher GGT group, respectively).
As an important predictor factor for OS, the relationship between LSR, GGT and survival was further evaluated according to the pathological stage. Patients with decreased LSR levels (<0.82) presented a significantly poor OS compared with those patients with increased LSR levels both in the T1–T2 subgroup (p = 0.002, Fig. 1b), T3–T4 subgroup (p = 0.007, Fig. 1c), N0 subgroup (p = 0.002, Fig. 1d), and M0 subgroup (p < 0.001, Fig. 1f). The OS was not significantly different in the N1–N2 subgroup (p = 0.051) (Fig. 1e) and M1 subgroup (p < 0.15) (Fig. 1g). Patients with decreased GGT levels (<23.1) presented a significantly poor OS compared with those patients with increased GGT levels only in the stage T3–T4 subgroup (p = 0.002, Fig. 2c) and N1-N2 subgroup (p = 0.035, Fig. 2e). The OS was not significantly different in the stage T1–T2 subgroup (p = 0.716) (Fig. 2b), N0 subgroup (p = 0.360) (Fig. 2d), M0 subgroup (p = 0.057) (Fig. 2f) and M1 subgroup (p = 0.056) (Fig. 2g).

The relationship between LSR, GGT concentrations and clinicopathologic factors in ESCC patients

Further analysis of the associations between serum LSR, GGT concentrations and clinicopathologic variables in ESCC patients are shown in Tables 3 and 4. LSR was associated with alcohol consumption (p = 0.024), tumor location (p = 0.038) and death (p < 0.001). In contrast, there were no significant associations between LSR and other clinicopathologic variables, including gender (p = 0.165), age (p = 0.092), pathological stage (p = 0.282) and treatment scheme (p = 0.109). GGT concentration was significantly associated with gender (p = 0.001), alcohol consumption (p < 0.001), tumor location (p = 0.002), pathological stage (p = 0.007), treatment scheme (p = 0.033) and death (p = 0.034), although age was not significant (p = 0.056).
Table 3
Relationship between the LSR levels and clinical characteristics of patients with ESCC
Variables
LSR
 
Cases (n)
≥0.82
<0.82
p value*
Mean ± SD
p value**
Gender (n)
 Male
342
179
163
0.305
0.89 ± 0.34
0.165
 Female
101
47
54
 
0.84 ± 0.27
 
Age
  < 59 years
232
122
110
0.448
0.91 ± 0.35
0.092
  ≥ 59 years
211
104
107
 
0.85 ± 0.27
 
Alcohol
 No
259
122
137
0.051
0.85 ± 0.31
0.024
 Yes
184
104
80
 
0.92 ± 0.34
 
Tumor location
 Upper
40
25
15
0.011
0.99 ± 0.39
0.038
 Middle
275
131
175
 
0.86 ± 0.33
 
 Lower
128
70
58
 
0.88 ± 0.28
 
Stage
 I and II
234
125
109
0.284
0.89 ± 0.32
0.282
 III and IV
209
101
108
 
0.87 ± 0.33
 
Treatment
 Surgery only
236
117
119
0.397
0.85 ± 0.31
0.109
 Surgery and chemotherapy
177
97
80
 
0.92 ± 0.34
 
 Surgery and radiotherapy
6
3
3
 
0.89 ± 0.25
 
 Surgery and chemotherapy and radiotherapy
24
9
15
 
0.81 ± 0.34
 
Deaths
 No
198
120
78
0.000
0.96 ± 0.35
0.000
 Yes
245
106
139
 
0.82 ± 0.29
 
Mean ± SD, Mean ± standard deviation
*P values were calculated using the chi-squared test (χ2 test), p < 0.05 indicated significant differences
**P values were calculated using unpaired Student’s t-tests or Mann–Whitney U test, p < 0.05 indicated significant differences
Table 4
Relationship between the GGT concentration and clinical characteristics of patients with ESCC
Variables
GGT
 
Cases (n)
≥23.1
<23.1
p value*
Mean ± SD
p value**
Gender
 Male
343
184
158
0.004
37.96 ± 4.72
0.001
 Female
101
38
63
 
26.20 ± 1.84
 
Age
  < 59 years
232
124
108
0.128
39.85 ± 5.20
0.056
  ≥ 59 years
212
98
114
 
30.29 ± 2.85
 
Alcohol
 No
260
97
163
0.000
27.57 ± 3.06
0.000
 Yes
184
125
59
 
46.18 ± 5.37
 
Tumor location
 Upper
40
21
19
0.009
40.24 ± 5.29
0.002
 Middle
276
123
153
 
30.05 ± 2.60
 
 Lower
128
78
50
 
45.02 ± 6.22
 
Stage
 I and II
234
106
128
0.037
29.81 ± 3.43
0.007
 III and IV
210
116
94
 
41.39 ± 4.98
 
Treatment (n)
 Surgery only
236
102
134
0.013
31.64 ± 3.84
0.033
 Surgery and chemotherapy
178
106
72
 
39.09 ± 4.72
 
 Surgery and radiotherapy
6
3
3
 
33.73 ± 3.20
 
 Surgery and chemotherapy and radiotherapy
24
12
12
 
43.35 ± 4.81
 
Deaths
 No
198
86
112
0.013
31.82 ± 3.83
0.034
 Yes
246
136
110
 
38.07 ± 4.58
 
Mean ± SD, Mean ± standard deviation
*P values were calculated using the chi-squared test (χ2 test), p < 0.05 indicated significant differences
**P values were calculated using unpaired Student’s t-tests or Mann–Whitney U test, p < 0.05 indicated significant differences

Discussion

In ESCC, prognostic biomarkers are needed to understand the development of cancer and for tailoring individual therapeutic strategies. Thus, it is imperative that inexpensive and convenient prognostic biomarkers for this disease are identified.
LFTs are routine laboratory tests, and earlier studies have noted the relationship of LSR, GGT and the risk of malignances, such as breast cancer [9], gastric cancer [20], liver cancer and other cancers. To date, the associations between LSR, GGT and ESCC survival have not been well developed. In our study, the cut-off points of LSR and GGT were defined as the median, which demonstrated that pretreatment serum LSR and GGT levels were related with 5-year OS in ESCC patients. Among the 447 ESCC cases examined in this retrospective study from Sun Yat-Sen University Cancer Center, we observed that patients with higher LSR levels showed significantly better prognosis compared with those patients with low LSR levels, not only in the entire cohort but also in the subgroups stratified by pathological stage (T1–T2 subgroup, T3–T4 subgroup, N0 subgroup and M0 subgroup). We also found that patients with a higher GGT showed significantly poorer prognosis than normal GGT patients, not only in the entire cohort but also in the subgroups classified by pathological stage (T3–T4 subgroup and N1-N2 subgroup). After adjustment for clinical characteristics, the elevated serum LSR and GGT were both associated with alcohol index and death.
The LSR and GGT tests are simple, inexpensive and widely used in clinical laboratories. As the major critical enzymes, ALT and AST generate products in gluconeogenesis and amino acid metabolism, and as specific markers of liver dysfunction, they catalyse the transfer of amino groups [10]. GGT is the major enzyme in the glutathione (GSH) catabolism, which also function as a biomarker for excessive alcohol intake [15]. Furthermore, many studies have demonstrated that LFTs have effects on the different hepatic injures, type 2 diabetes mellitus, cardiovascular disease and other diseases. In addition, several reports have confirmed the links between LFTs and prognosis in cancer patients. Chen el al. reported that the lower preoperative LSR level was found to be associated with decreased survival in patients with gastric adenocarcinoma [20]. Shen also suggested that pretreatment AST was related with the clinical outcome in hepatitis B-induced hepatocellular carcinoma after hepatectomy [21]. Preyer et al. identified that GGT was an independent risk factor in breast cancer over and above the alcohol consumption and other life style risk factors [16]. Mok et al. published a large study of new cancer cases, which occurred among 1,662,087 Koreans (ages 20–95 years, 1108,121 male and 553,966 female) who received health insurance from the National Health Insurance Service during 1995 and 1998. These patients were followed up for 17 years, and the elevated serum level of GGT was independently links with risk of various tumors, such as colorectal, stomach, lung and bile duct cancer [22]. However, the function of LSR and GGT in carcinogenesis is not well understood. It is interesting to consider the reason about the observed links between LSR, GGT levels and incident cancer risk, which may be attributed to its multiple properties, including anti-inflammatory and antioxidant properties. Moreover, serum LFTs are markers of alcohol intake, especially GGT. In our retrospective study, higher LSR and GGT levels were related to ESCC patients consumption of alcohol, and a significant relationship between increased GGT and alcohol intake has previously been reported [23, 24]. Numerous studies have indicated that alcohol consumption have influence on the risk of cancers of the oral cavity and pharynx, esophagus, stomach, liver and colorectum [25]. The possible mechanisms suggested include acetaldehyde being carcinogenic, mutagenic, influencing the ability to bind to DNA and protein, and destroying folate which results in secondary hyper-regeneration [26].
Cancer is a pro-inflammatory state, in which inflammatory cells actively participate in the occurrence of tumor development, such as tumor cell proliferation, survival, and migration [2729]. For LSR, the exact mechanisms underlying the association remain unclear: one explanation is that the change in LSR levels is associated with subclinical inflammation, which may result in continued damage of tissue precipitating some noninfectious diseases [3032]. The possible inference from LSR levels may be that they influence some of the pro-inflammatory mediators involved in carcinogenesis and affect tumor invasion and metastasis. Tumorigenic factors (inflammation and oxidative stress), which participate in these stages, have influenced on the cancer initiation in cascade of steps. The relationship between inflammation and cancer is very complex. Inflammatory factors were produced during the inflammatory response, including chemokines (e.g. CCL2, CXCL8) and cytokines (e.g. IL-6), which can recruit more inflammatory cells to the lesion site, such as neutrophilic granulocytes and mononuclear macrophages, and resulting in the inflammatory microenvironment [33, 34]. Moreover, as potent inflammatory mediators, TNF-α and IL-6 were released from stimulated T-cells and activated macrophages, which may result in continued damage to the liver tissue thereby influencing the LSR levels. [35]. The other possible explanation is that LSR levels may influence some of the pro-inflammatory mediators involved in carcinogenesis. Furthermore, through stimulating the growth of tumor cells and driving signaling transduction pathways, reactive oxygen factors leads to activation of redox-sensitive transcription species and genes which participated in the growth, proliferation, and survival of tumor cells.
Several potential mechanisms have been postulated for the relationship between GGT and cancer: 1. As the essential parts of the cellular defense apparatus, GGT and GSH have been used to against oxidative stress [15]. The elevated GGT levels in tumor cells can produce the reactive oxidant species (ROS), which may drive tumor progression; 2. Increased GGT has been regarded as a marker of exposure to certain carcinogens, which include persistent environmental pollutants including dioxins, lead, organochlorine pesticides and so on [36, 37]; 3. As a GGT isoenzyme, GGTII has been reported to a useful tumor marker in the diagnosis of small hepatocellular carcinoma [38]; 4. GGT levels can be affected by environmental and lifestyle factors (such as diet, smoking, and drinking) and genetic regulation [39]. However, further studied are needed to determine the underlying mechanisms.
Recently, serum markers have used in noninvasive cancer diagnosis, individual treatment, monitoring of prognosis and recurrence, and includes circulating tumor cells, exosomes, free DNA, and protein-based markers. As protein-based markers, the association between the LFTs and survival in ESCC were evaluated, and LSR and GGT were demonstrated to be independent predictors of overall survival in ESCC. Thus, LSR appears to be a new prognostic marker in ESCC.

Conclusions

In summary, this retrospective study is the first to validating the association between pretherapy serum LFTs and ESCC. Based on the 447 patients in our cohort, we showed that pretreatment serum LSR and GGT levels are prognostic factors for OS in ESCC, both in the entire cohort and in subgroups classified by pathological stage. These biomarkers offer high reproducibility and could be tested easily in clinical laboratories. As our study is a retrospective analysis, it is only valid for generating the hypothesis, a large-scale and prospective study should be done to validated the value of LSR and GGT in HCC.

Acknowledgments

All the authors gratefully thank the staff of the Biochemical Laboratory of Sun Yat-sen University Cancer Center for kindly providing biochemical markers and their assistance in this study.

Funding

This work was financially supported by the Guangdong Esophageal Cancer Institute Project (No. Q201405), which participated in data collection and analysis.

Availability of data and materials

Due to ethical restrictions, the raw data underlying this paper are available upon request to the corresponding author.
This study was approved by the Institute Research Ethics Committee of the Sun Yat-Sen University Cancer Center, Guangzhou, China. Each patients signed the informed consent.
Not applicable.

Competing interests

The authors disclose no competing interests. There are no financial and non-financial competing interests (political, personal, religious, ideological, academic, intellectual, commercial or any other) to declare in relation to this.

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Literatur
2.
Zurück zum Zitat Tang WR, Chen ZJ, Lin K, Su M, Au WW. Development of esophageal cancer in Chaoshan region, China: association with environmental, genetic and cultural factors. Int J Hyg Environ Health. 2015;218(1):12–8.CrossRefPubMed Tang WR, Chen ZJ, Lin K, Su M, Au WW. Development of esophageal cancer in Chaoshan region, China: association with environmental, genetic and cultural factors. Int J Hyg Environ Health. 2015;218(1):12–8.CrossRefPubMed
3.
Zurück zum Zitat Bedenne L, Michel P, Bouche O, Milan C, Mariette C, Conroy T, Pezet D, Roullet B, Seitz JF, Herr JP, et al. Chemoradiation followed by surgery compared with chemoradiation alone in squamous cancer of the esophagus: FFCD 9102. J Clin Oncol. 2007;25(10):1160–8.CrossRefPubMed Bedenne L, Michel P, Bouche O, Milan C, Mariette C, Conroy T, Pezet D, Roullet B, Seitz JF, Herr JP, et al. Chemoradiation followed by surgery compared with chemoradiation alone in squamous cancer of the esophagus: FFCD 9102. J Clin Oncol. 2007;25(10):1160–8.CrossRefPubMed
4.
Zurück zum Zitat Lerut T, Coosemans W, De Leyn P, Van Raemdonck D, Deneffe G, Decker G. Treatment of esophageal carcinoma. Chest. 1999;116(6 Suppl):463S–5S.CrossRefPubMed Lerut T, Coosemans W, De Leyn P, Van Raemdonck D, Deneffe G, Decker G. Treatment of esophageal carcinoma. Chest. 1999;116(6 Suppl):463S–5S.CrossRefPubMed
5.
Zurück zum Zitat Luo YL, Chi PD, Zheng X, Zhang L, Wang XP, Chen H. Preoperative D-dimers as an independent prognostic marker in cervical carcinoma. Tumour Biol. 2015;36(11):8903–11.CrossRefPubMed Luo YL, Chi PD, Zheng X, Zhang L, Wang XP, Chen H. Preoperative D-dimers as an independent prognostic marker in cervical carcinoma. Tumour Biol. 2015;36(11):8903–11.CrossRefPubMed
6.
Zurück zum Zitat Zheng X, Xing S, Liu XM, Liu W, Liu D, Chi PD, Chen H, Dai SQ, Zhong Q, Zeng MS, et al. Establishment of using serum YKL-40 and SCCA in combination for the diagnosis of patients with esophageal squamous cell carcinoma. BMC Cancer. 2014;14:490.CrossRefPubMedPubMedCentral Zheng X, Xing S, Liu XM, Liu W, Liu D, Chi PD, Chen H, Dai SQ, Zhong Q, Zeng MS, et al. Establishment of using serum YKL-40 and SCCA in combination for the diagnosis of patients with esophageal squamous cell carcinoma. BMC Cancer. 2014;14:490.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Li XH, Wang XP, Gu WS, Lin JH, Huang H, Kang T, Zhang L, Chen H, Zheng X. Clinical significance of preoperative thrombin time in patients with esophageal Squamous cell carcinoma following surgical resection. PLoS One. 2015;10(10):e140323. Li XH, Wang XP, Gu WS, Lin JH, Huang H, Kang T, Zhang L, Chen H, Zheng X. Clinical significance of preoperative thrombin time in patients with esophageal Squamous cell carcinoma following surgical resection. PLoS One. 2015;10(10):e140323.
8.
Zurück zum Zitat Wang XP, Li XH, Zhang L, Lin JH, Huang H, Kang T, Mao MJ, Chen H, Zheng X. High level of serum apolipoprotein A-I is a favorable prognostic factor for overall survival in esophageal squamous cell carcinoma. BMC Cancer. 2016;16(1):516.CrossRefPubMedPubMedCentral Wang XP, Li XH, Zhang L, Lin JH, Huang H, Kang T, Mao MJ, Chen H, Zheng X. High level of serum apolipoprotein A-I is a favorable prognostic factor for overall survival in esophageal squamous cell carcinoma. BMC Cancer. 2016;16(1):516.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Liu X, Meng QH, Ye Y, Hildebrandt MA, Gu J, Wu X. Prognostic significance of pretreatment serum levels of albumin, LDH and total bilirubin in patients with non-metastatic breast cancer. Carcinogenesis. 2015;36(2):243–8.CrossRefPubMed Liu X, Meng QH, Ye Y, Hildebrandt MA, Gu J, Wu X. Prognostic significance of pretreatment serum levels of albumin, LDH and total bilirubin in patients with non-metastatic breast cancer. Carcinogenesis. 2015;36(2):243–8.CrossRefPubMed
10.
Zurück zum Zitat Wroblewski F, Ladue JS. Serum glutamic pyruvic transaminase in cardiac with hepatic disease. Proc Soc Exp Biol Med. 1956;91(4):569–71. Wroblewski F, Ladue JS. Serum glutamic pyruvic transaminase in cardiac with hepatic disease. Proc Soc Exp Biol Med. 1956;91(4):569–71.
11.
Zurück zum Zitat Kim HC, Nam CM, Jee SH, Han KH, Oh DK, Suh I. Normal serum aminotransferase concentration and risk of mortality from liver diseases: prospective cohort study. BMJ. 2004;328(7446):983.CrossRefPubMedPubMedCentral Kim HC, Nam CM, Jee SH, Han KH, Oh DK, Suh I. Normal serum aminotransferase concentration and risk of mortality from liver diseases: prospective cohort study. BMJ. 2004;328(7446):983.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Green RM, Flamm S. AGA technical review on the evaluation of liver chemistry tests. Gastroenterology. 2002;123(4):1367–84.CrossRefPubMed Green RM, Flamm S. AGA technical review on the evaluation of liver chemistry tests. Gastroenterology. 2002;123(4):1367–84.CrossRefPubMed
13.
Zurück zum Zitat Fraser A, Harris R, Sattar N, Ebrahim S, Davey SG, Lawlor DA. Alanine aminotransferase, gamma-glutamyltransferase, and incident diabetes: the British Women's heart and health study and meta-analysis. Diabetes Care. 2009;32(4):741–50.CrossRefPubMedPubMedCentral Fraser A, Harris R, Sattar N, Ebrahim S, Davey SG, Lawlor DA. Alanine aminotransferase, gamma-glutamyltransferase, and incident diabetes: the British Women's heart and health study and meta-analysis. Diabetes Care. 2009;32(4):741–50.CrossRefPubMedPubMedCentral
14.
15.
16.
Zurück zum Zitat Preyer O, Johansen D, Holly J, Stocks T, Pompella A, Nagel G, Concin H, Ulmer H. Concin N: gamma-Glutamyltransferase and breast cancer risk beyond alcohol consumption and other life style factors - a pooled cohort analysis. PLoS One. 2016;11(2):e149122.CrossRef Preyer O, Johansen D, Holly J, Stocks T, Pompella A, Nagel G, Concin H, Ulmer H. Concin N: gamma-Glutamyltransferase and breast cancer risk beyond alcohol consumption and other life style factors - a pooled cohort analysis. PLoS One. 2016;11(2):e149122.CrossRef
17.
Zurück zum Zitat Long Y, Zeng F, Shi J, Tian H, Chen T. Gamma-glutamyltransferase predicts increased risk of mortality: a systematic review and meta-analysis of prospective observational studies. Free Radic Res. 2014;48(6):716–28.CrossRefPubMed Long Y, Zeng F, Shi J, Tian H, Chen T. Gamma-glutamyltransferase predicts increased risk of mortality: a systematic review and meta-analysis of prospective observational studies. Free Radic Res. 2014;48(6):716–28.CrossRefPubMed
18.
Zurück zum Zitat Zheng Y, Cao X, Wen J, Yang H, Luo K, Liu Q, Huang Q, Chen J, Fu J. Smoking affects treatment outcome in patients with resected esophageal squamous cell carcinoma who received chemotherapy. PLoS One. 2015;10(4):e123246. Zheng Y, Cao X, Wen J, Yang H, Luo K, Liu Q, Huang Q, Chen J, Fu J. Smoking affects treatment outcome in patients with resected esophageal squamous cell carcinoma who received chemotherapy. PLoS One. 2015;10(4):e123246.
19.
Zurück zum Zitat Liu J, Hu Y, Xie X, Fu J. Subcarinal node metastasis in thoracic esophageal squamous cell carcinoma. Ann Thorac Surg. 2012;93(2):423–7.CrossRefPubMed Liu J, Hu Y, Xie X, Fu J. Subcarinal node metastasis in thoracic esophageal squamous cell carcinoma. Ann Thorac Surg. 2012;93(2):423–7.CrossRefPubMed
21.
Zurück zum Zitat Shen SL, Fu SJ, Chen B, Kuang M, Li SQ, Hua YP, Liang LJ, Guo P, Hao Y, Peng BG. Preoperative aspartate aminotransferase to platelet ratio is an independent prognostic factor for hepatitis B-induced hepatocellular carcinoma after hepatic resection. Ann Surg Oncol. 2014;21(12):3802–9.CrossRefPubMed Shen SL, Fu SJ, Chen B, Kuang M, Li SQ, Hua YP, Liang LJ, Guo P, Hao Y, Peng BG. Preoperative aspartate aminotransferase to platelet ratio is an independent prognostic factor for hepatitis B-induced hepatocellular carcinoma after hepatic resection. Ann Surg Oncol. 2014;21(12):3802–9.CrossRefPubMed
22.
Zurück zum Zitat Mok Y, Son DK, Yun YD, Jee SH. Samet JM: gamma-Glutamyltransferase and cancer risk: the Korean cancer prevention study. Int J Cancer. 2016;138(2):311–9.CrossRefPubMed Mok Y, Son DK, Yun YD, Jee SH. Samet JM: gamma-Glutamyltransferase and cancer risk: the Korean cancer prevention study. Int J Cancer. 2016;138(2):311–9.CrossRefPubMed
23.
Zurück zum Zitat Teschke R, Rauen J, Neuefeind M, Petrides AS, Strohmeyer G. Alcoholic liver disease associated with increased gamma-glutamyltransferase activities in serum and liver. Adv Exp Med Biol. 1980;132:647–54.PubMed Teschke R, Rauen J, Neuefeind M, Petrides AS, Strohmeyer G. Alcoholic liver disease associated with increased gamma-glutamyltransferase activities in serum and liver. Adv Exp Med Biol. 1980;132:647–54.PubMed
24.
Zurück zum Zitat Ishizaka N, Ishizaka Y, Toda E, Yamakado M, Koike K, Nagai R. Association between gamma-glutamyltransferase levels and insulin resistance according to alcohol consumption and number of cigarettes smoked. J Atheroscler Thromb. 2010;17(5):476–85.CrossRefPubMed Ishizaka N, Ishizaka Y, Toda E, Yamakado M, Koike K, Nagai R. Association between gamma-glutamyltransferase levels and insulin resistance according to alcohol consumption and number of cigarettes smoked. J Atheroscler Thromb. 2010;17(5):476–85.CrossRefPubMed
25.
Zurück zum Zitat Kunutsor SK, Apekey TA, Van Hemelrijck M, Calori G, Perseghin G. Gamma glutamyltransferase, alanine aminotransferase and risk of cancer: systematic review and meta-analysis. Int J Cancer. 2015;136(5):1162–70.CrossRefPubMed Kunutsor SK, Apekey TA, Van Hemelrijck M, Calori G, Perseghin G. Gamma glutamyltransferase, alanine aminotransferase and risk of cancer: systematic review and meta-analysis. Int J Cancer. 2015;136(5):1162–70.CrossRefPubMed
27.
Zurück zum Zitat Gopal K, Gupta N, Zhang H, Alshareef A, Alqahtani H, Bigras G, Lewis J, Douglas D, Kneteman N, Lavasanifar A, et al. Oxidative stress induces the acquisition of cancer stem-like phenotype in breast cancer detectable by using a Sox2 regulatory region-2 (SRR2) reporter. Oncotarget. 2016;7(3):3111–27.CrossRefPubMed Gopal K, Gupta N, Zhang H, Alshareef A, Alqahtani H, Bigras G, Lewis J, Douglas D, Kneteman N, Lavasanifar A, et al. Oxidative stress induces the acquisition of cancer stem-like phenotype in breast cancer detectable by using a Sox2 regulatory region-2 (SRR2) reporter. Oncotarget. 2016;7(3):3111–27.CrossRefPubMed
28.
Zurück zum Zitat Falfushynska HI, Gnatyshyna LL, Deneha HV, Osadchuk OY, Stoliar OB. Manifestations of oxidative stress and molecular damages in ovarian cancer tissue. Ukr Biochem J. 2015;87(5):93–102. Falfushynska HI, Gnatyshyna LL, Deneha HV, Osadchuk OY, Stoliar OB. Manifestations of oxidative stress and molecular damages in ovarian cancer tissue. Ukr Biochem J. 2015;87(5):93–102.
30.
Zurück zum Zitat Ahmadi-Abhari S, Luben RN, Wareham NJ, Khaw KT. Seventeen year risk of all-cause and cause-specific mortality associated with C-reactive protein, fibrinogen and leukocyte count in men and women: the EPIC-Norfolk study. Eur J Epidemiol. 2013;28(7):541–50.CrossRefPubMed Ahmadi-Abhari S, Luben RN, Wareham NJ, Khaw KT. Seventeen year risk of all-cause and cause-specific mortality associated with C-reactive protein, fibrinogen and leukocyte count in men and women: the EPIC-Norfolk study. Eur J Epidemiol. 2013;28(7):541–50.CrossRefPubMed
31.
Zurück zum Zitat Nigam P, Bhatt SP, Misra A, Vaidya M, Dasgupta J, Chadha DS. Non-alcoholic fatty liver disease is closely associated with sub-clinical inflammation: a case-control study on Asian Indians in North India. PLoS One. 2013;8(1):e49286.CrossRefPubMedPubMedCentral Nigam P, Bhatt SP, Misra A, Vaidya M, Dasgupta J, Chadha DS. Non-alcoholic fatty liver disease is closely associated with sub-clinical inflammation: a case-control study on Asian Indians in North India. PLoS One. 2013;8(1):e49286.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Lee H, Shin DW, Lee TH, Yang HK, Ahn E, Yoon JM, Lee HK, Suh B, Son KY, Kim JS, et al. Association between change in serum Aminotransferase and mortality: a Nationwide cohort study in Korea. Medicine (Baltimore). 2016;95(12):e3158.CrossRef Lee H, Shin DW, Lee TH, Yang HK, Ahn E, Yoon JM, Lee HK, Suh B, Son KY, Kim JS, et al. Association between change in serum Aminotransferase and mortality: a Nationwide cohort study in Korea. Medicine (Baltimore). 2016;95(12):e3158.CrossRef
33.
Zurück zum Zitat Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature. 2008;454(7203):436–44.CrossRefPubMed Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature. 2008;454(7203):436–44.CrossRefPubMed
34.
Zurück zum Zitat Vendramini-Costa DB, Carvalho JE. Molecular link mechanisms between inflammation and cancer. Curr Pharm Des. 2012;18(26):3831–52.CrossRefPubMed Vendramini-Costa DB, Carvalho JE. Molecular link mechanisms between inflammation and cancer. Curr Pharm Des. 2012;18(26):3831–52.CrossRefPubMed
35.
Zurück zum Zitat Hoyos S, Granell S, Heredia N, Bulbena O, Closa D, Fernandez-Cruz L. Influence of portal blood on the development of systemic inflammation associated with experimental acute pancreatitis. Surgery. 2005;137(2):186–91.CrossRefPubMed Hoyos S, Granell S, Heredia N, Bulbena O, Closa D, Fernandez-Cruz L. Influence of portal blood on the development of systemic inflammation associated with experimental acute pancreatitis. Surgery. 2005;137(2):186–91.CrossRefPubMed
36.
Zurück zum Zitat Lee DH, Jacobs DR, Porta M. Association of serum concentrations of persistent organic pollutants with the prevalence of learning disability and attention deficit disorder. J Epidemiol Community Health. 2007;61(7):591–6.CrossRefPubMedPubMedCentral Lee DH, Jacobs DR, Porta M. Association of serum concentrations of persistent organic pollutants with the prevalence of learning disability and attention deficit disorder. J Epidemiol Community Health. 2007;61(7):591–6.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Lee DH, Lim JS, Song K, Boo Y, Jacobs DJ. Graded associations of blood lead and urinary cadmium concentrations with oxidative-stress-related markers in the U.S. population: results from the third National Health and nutrition examination survey. Environ Health Perspect. 2006;114(3):350–4.CrossRefPubMed Lee DH, Lim JS, Song K, Boo Y, Jacobs DJ. Graded associations of blood lead and urinary cadmium concentrations with oxidative-stress-related markers in the U.S. population: results from the third National Health and nutrition examination survey. Environ Health Perspect. 2006;114(3):350–4.CrossRefPubMed
39.
Zurück zum Zitat Rahmioglu N, Andrew T, Cherkas L, Surdulescu G, Swaminathan R, Spector T, Ahmadi KR. Epidemiology and genetic epidemiology of the liver function test proteins. PLoS One. 2009;4(2):e4435.CrossRefPubMedPubMedCentral Rahmioglu N, Andrew T, Cherkas L, Surdulescu G, Swaminathan R, Spector T, Ahmadi KR. Epidemiology and genetic epidemiology of the liver function test proteins. PLoS One. 2009;4(2):e4435.CrossRefPubMedPubMedCentral
Metadaten
Titel
Prognostic value of pretreatment serum alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio and gamma glutamyltransferase (GGT) in patients with esophageal squamous cell carcinoma
verfasst von
Hao Huang
Xue-Ping Wang
Xiao-Hui Li
Hao Chen
Xin Zheng
Jian-Hua Lin
Ting Kang
Lin Zhang
Pei-Song Chen
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2017
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-017-3523-y

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