GET THE APP

Journal of Clinical Trials

Journal of Clinical Trials
Open Access

ISSN: 2167-0870

+44 1478 350008

Research Article - (2020)Volume 10, Issue 5

Erythrocyte Sedimentation Rate and Gamma-glutamyl Transpeptidase Combined are Potent Predictors of Survival and Tumor Characteristics in Hepatocellular Carcinoma Patients

Brian Carr1*, Akkiz H2, Guerra V3, Donghia R3, Yalçin K4, Karaogullarından U2, Altıntas E6, Ozakyol A5, Şimşek H7, Balaban HY7, Balkan A8, Uyanıkoglu A9 and Ekin N4
 
*Correspondence: Brian Carr, Department of Gastroenterology, İnönü University, Malatya, Turkey, Email:

Author info »

Abstract

Introduction: Erythrocyte Sedimentation Rate (ESR) and C-Reactive Protein (CRP) are acute phase reactants and Gamma-Glutamyl Transpeptidase (GGT) is a liver enzyme that is associated with prognosis in patients with Hepatocellular Carcinoma (HCC).
Objective: To evaluate the value of ESR and GGT singly and together in HCC prognosis and as predictors of tumor aggressiveness parameters.
Methods: The database from a large cohort of Turkish HCC patients was examined retrospectively for the prognostic usefulness of blood ESR and GGT levels and the associated patient subgroup characteristics.
Results: Patients with low vs. high blood ESR or GGT values had greater than double survival, with Hazard Ratios (HR) by Cox regression of 1.543 and 1.833 respectively. The combination of ESR plus GGT was associated with a 3- fold survival difference and an HR of 2.410. Patients with high vs. low ESR plus GGT levels had significantly greater maximum tumor diameters, alpha-fetoprotein levels, multifocality and percent of patients with portal vein thrombosis. Significant survival differences were also found for patients with low serum alpha-fetoprotein levels. Addition of CRP levels to the ESR plus GGT combination added further discriminant survival information, but for greater computational complexity.
Conclusions: ESR plus GGT is a useful and powerful prognosticator in HCC patients, including those with low alpha-fetoprotein levels and significantly associates with all the tumor parameters of HCC patients.

Keywords

HCC; CRP; ESR; PVT; MTD

Abbrevations

HCC: Hepatocellular Carcinoma; PVT: Portal Vein Thrombosis; AFP: Alpha-Fetoprotein; GGTP: Gamma Glutamyl Transpeptidase; ALKP: Alkaline Phosphatase; CRP: C-Reactive Protein; ESR: Erythrocyte Sedimentation Rate; MTD: Maximum Tumor Diameter; CT: Computerized Axial Tomography; MRI: Magnetic Resonance Imaging

Introduction

Indices of inflammatory have been long recognized to be both part of the carcinogenic process [1-5] as well as useful prognosticators for many cancers. Serum C-Reactive Protein (CRP) and blood Erythrocyte Sedimentation Rate (ESR) are amongst the best studied inflammation-associated parameters for many diseases [6-8] and CRP has been shown to be prognostically useful for many cancers, including HCC [9-15]. Recently, ESR has also attracted attention for its use in HCC prognostication [16-18]. Furthermore, serum levels of the liver enzyme, Gamma-Glutamyl Transpeptidase (GGT) has been recognized to be associated with HCC [19-22] and an HCCspecific isozyme (GGT-II) has been characterized and studied [23-30]. In the present work, the 3 inflammation markers CRP, ESR and GGT were examined in relation to HCC patient survival and the combination of ESR and GGT was found to be superior to the single parameters and was associated with higher levels of HCC aggressiveness factors of Maximum Tumor Diameter (MTD), Alpha-Fetoprotein (AFP), multiple tumor nodules and percent of patients with macroscopic Portal Vein Thrombosis (PVT).

Methods

Patient data

A database was retrospectively analyzed of 573 non-transplant HCC patients who had both survival data and baseline tumor parameter data, including CT scan information on HCC maximum Tumor Diameter (MTD), number of tumor nodules and presence or absence of macroscopic portal Vein Thrombosis (PVT); blood erythrocyte sedimentation rate values; serum Alpha-Fetoprotein (AFP) levels; complete blood count; routine blood liver function tests, (total bilirubin, GGTP, ALKP, albumin, transaminases), as well as patient demographics. Diagnosis was made either via tumor biopsy or according to international AASLD guidelines. Database management conformed to legislation on privacy and this study conforms to the ethical guidelines of the Declaration of Helsinki and approval for this retrospective study on de-identified HCC patients was obtained by the Institutional Review Board of each participating institution, as previously reported (REF).

Statistical analysis

Continuous variables were summarized by median, first quartile (25th percentile) and third quartile (75th percentile). Comparisons between two groups were performed by Mann Whitney U test. Categorical variables were expressed as count and percentage, comparisons according to these variables were made by Pearson’s chi-square, and continuity corrected chisquare or Fisher’s exact test where appropriate. Kaplan-Meier method and Log-Rank test were used for survival analysis. Cox regression was used for Hazard Ratio (HR) estimations. For all analyses, two-tailed significance level was considered as 0.05. IBM SPSS Statistics for Windows version 22.0 (NY, USA) was used for statistical analysis.

Results

Survival of HCC patients according to blood GGT or ESR levels, alone or in combination

A survival analysis was calculated by the Kaplan-Meier method for the 3 single parameters, serum GGT, serum CRP and blood ESR levels, each dichotomized according to cutoffs that were previously found (REFS). Patients with low GGT, ESR or CRP levels lived significantly longer that patients with high GGT, ESR or CRP levels (Table 1A). Hazard ratios (HRs) were significantly greater for high versus low GGT (HR 1.543, p=0.002), for high versus low ESR (HR 1.833, P=0.001) and for high versus low CRP levels (HR 1.570, p<0.001) by univariate Cox regression analysis. But by multivariate Cox regression analysis, only CRP and ESR HRs were significant in Figure 1A&1B.

clinical-trials-ESR

Figure 1A: Percentage of subjects with ESR (>15) and GGT (>100), in MTD categories. (Chi-square for trend, P<0.0001). Abbreviations: MTD-Maximum Tumor Diameter; ESRErythrocyte Sedimentation Rate; GGTP-Gamma Glutamyltranspeptidase.

clinical-trials-combined

Figure 1B: Percentage of combined ESR and GGT in MTD categories and P-value for comparison *. * Pairwise comparisons of proportions. Abbreviations: MTD-Maximum Tumor Diameter; ESR- Erythrocyte Sedimentation Rate; GGTPGamma Glutamyltranspeptidase.

    Kaplan-Meier Univariate Multivariate
Analysis Cox regression Cox regression
    Survival time (mo) Log-Rank HR HR HR HR
Mean ± SE P-value (95% CI) P-value (95% CI) P-value
Total GGT ≤ 100 88.52 ± 6.64 0.002 reference   reference  
cohort GGT >100) 41.72 ± 4.20 1.543 (1.167-2.041 0.002 1.292 (0.916-1.823) 0.144
Total ESR ≤ 15 101.81 ± 11.03 0.001 reference   reference  
cohort ESR>15 42.40 ± 3.36 1.833 (1.286-2.611) 0.001 1.506 (1.022-2.219) 0.039
Total CRP ≤ 6 72.26 ± 6.12 <0.001 reference   reference  
cohort CRP>6 38.45 ± 3.96 1.570 (1.229-2.005) <0.001 1.843 (1.287-2.641) 0.001

Table 1A: Kaplan-Meier analysis for HCC patient survival according to blood GGT, ESR and CRP alone.

ESR has previously been combined with CRP levels, to show a modest increase in survival compared with each parameter alone (REF). We next examined the combination of GGT with CRP, and the combination of GGT with ESR, and then compared the survival of patients having high or low levels of each combination (Table 1B). We found that survival by Kaplan- Meier analysis of patients with low levels of combination GGT plus CRP was significantly longer than the survival of patients with high levels of combination GGT plus CRP (91.75 vs. 43.82 months, p=0.002) and the HR by Cox regression analysis was 1.792, P=0.005. The survival of patients with low levels of combination GGT plus ESR was also significantly longer than the survival of patients with high levels of combination GGT plus ESR (115.43 vs. 39.25 months, P<0.001) and the HR was 2.410, P=0.001. Since the HR was much higher for the GGT plus ESR combinations, we separately examined that combination in patients with either small <5 cm MTD tumors or with large >5 cm MTD tumors. We found that survival was significantly longer in patients with low compared to high combination GGT plus ESR levels, regardless of whether they had small or large tumors in Table 1B, lower half.

    Kaplan-Meier Univariate
Analysis Cox regression
    Survival time (mo) Log-Rank HR HR
Mean ± SE P-value (95% CI) P-value
Total GGT ≤ 100 & CRP ≤ 6 91.75 ± 7.33 0.004 reference  
cohort GGT>100 & CRP>6 43.82 ± 7.24 1.792 (1.191-2.696) 0.005
Total GGT ≤ 100 & ESR ≤ 15 115.43 ± 12.13 <0.001 reference  
cohort GGT>100 & ESR>15 39.25 ± 5.29 2.410 (1.456-3.990) 0.001
MTD<5 cm GGT ≤ 100 & ESR ≤ 15 84.03 ± 9.85 0.032 reference  
GGT>100 & ESR>15 43.61 ± 7.20 2.324 (1.045-5.169) 0.039
MTD≥5 cm GGT ≤ 100 & ESR ≤ 15 68.42 ± 10.46 0.004 reference  
GGT>100 & ESR>15 24.86 ± 3.52 2.799 (1.339-5.853) 0.006

Table 1B: Kaplan-Meier analysis for HCC patient survival according to blood GGT plus ESR or CRP in combination.

Blood and tumor characteristics of patients with low or high levels of combination blood GGT plus ESR levels

The clinical blood level characteristics of patients with high versus low GGT plus ESR combination levels were then compared. For high combination GGT plus ESR levels, patients had significantly lower Hb, albumin and HDL levels, but higher numbers of platelets and higher levels of all liver function tests than patients with lower levels of combination GGT plus ESR in Table 2A.

  GGT ≤ 100 & ESR ≤ 15 GGT>100 and ESR>15  
  Median (1stQ-3rdQ) Median (1stQ-3rdQ) P
Hb, g/dL 13.4(12-15) 11.9(10.6-13.1) <0.001
Platelets,103/μL 138.5(75-215) 170(106.8-247.3) 0.018
Albumin, g/dL 3.6(2.9-3.8) 2.6(2.2-3.1) <0.001
HDL, mg/dL 36.3(29.2-44.6) 28.5(17.7-38) 0.005
LDL, mg/dL 84(66.2-109.5) 97(74.3-119.5) 0.139
CRP, mg/dL 0.9(0.3-4.8) 4.6(1.5-10) <0.001
ALKP, IU/mL 94(66-116.5) 192(135-300) <0.001
AST, IU/mL 42(30-63) 88.5(51.8-146) <0.001
T.BİL, mg/dL 1(0.8-1.6) 1.5(0.9-2.9) <0.001
Cholesterol, mg/dL 1.2(1-1.3) 1.2(1.1-1.4) 0.058
ALT, IU/mL 36(23.5-58.5) 52.5(32-98) <0.001

Table 2A: Blood parameters of patients with high or low blood GGTP plus ESR levels.

The tumor characteristics were then compared. MTD, AFP, patients with tumor multifocality and percent of patients with PVT were all found to be elevated in patients with high versus low combination GGT plus ESR levels in Table 2B.

  GGTP ≤ 100 & ESR ≤ 50 GGTP>100 and ESR>50
  Median (1stQ-3rdQ) Median (1stQ-3rdQ) P
MTD size 5.1 (3.5-7.5) 7.5 (4.5-10.6) 0.008
AFP 15.6 (6.2-417.5) 239 (19.5-1210) <0.001
  % % P
Tumor # ≤ 2 71 44.3 <0.001
Tumor # >2 29 55.7
PVT (-) 84.9 61 0.001
PVT (+) 15.1 39

Table 2B: Tumor characteristics in patients with high or low blood GGTP plus ESR levels.

Survival, blood and tumor characteristics in patients with low serum AFP levels

Survival was analyzed according to the Kaplan-Meier method. Patients with low levels of the GGT plus ESR combination had significantly longer survival than patients with high levels of the GGT plus ESR combination (134.69 vs. 38.58 mo, P<0.001) and an HR by Cox regression of 3.745; P=0.001. The low AFP patients with low combination GGT plus ESR levels had longer survival than patients with low combination GGT plus ESR in the total cohort of Table 1. Patients with low AFP levels and either small <5 cm MTD or large >5 cm MTD, were then separately analyzed for survival. Patients with small tumors had significantly longer survival in the low compared to the high combination GGT plus ESR group (96.26 vs. 44.69 mo, P=0.016) and an HR by Cox of 3.886, P=0.023. Patients with larger tumors had almost significant differences in their survival in the 2 combination groups, P=0.054, but the HR by Cox regression was not significant.

The pattern of differences in the blood parameters was nearly identical to that seen in the total cohort as shown in Table 2A, except that platelet differences had lost significance in the low AFP cohort in Table 3A.

    Kaplan-Meier Univariate
Analysis Cox regression
    Survival time (mo) Log-Rank HR HR
Mean ± SE p-value (95% CI) P-value
Total GGT ≤ 100 & ESR ≤ 15 134.69 ± 13.91 <0.001 reference  
sub-cohort GGT>100 & ESR>15 38.58 ± 6.62 3.745 (1.722-8.146) 0.001
MTD<5 cm GGT ≤ 100 & ESR ≤ 15 96.26 ± 10.39 0.016 reference  
GGT>100 & ESR>15 44.69 ± 9.28 3.887 (1.207-12.512) 0.023
MTD ≥ 5 cm GGT ≤ 100 & ESR ≤ 15 70.58 ± 12.16 0.054 reference  
GGT>100 & ESR>15 24.78 ± 4.03 2.886 (0.930-8.957) 0.067

Table 3A: Kaplan-Meier analysis for patients with low serum AFP (<100 IU/mL) levels.

  GGT ≤ 100 and ESR ≤ 15 GGT>100 and ESR>15
  Median (1stQ-3rdQ.) Median (1stQ-3rdQ.) P
Hb 13,8 (12-15.1) 12 (10.9-13.1) <0.001
Platelets 138 (86-216) 153 (88-253.5) 0.267
Albumin 3.6 (3-3.9) 2.7 (2.3-3.1) <0.001
HDL 36.3 (30.8-44.2) 29.3 (20.6-38) 0.051
LDL 84 (65.5-113) 97 (85-114) 0.138
CRP 0.5 (0.3-2.5) 4.8 (1.6-11) <0.001
ALKP 87.5 (61.5-116) 204 (141-305.3) <0.001
AST 35.5 (29-57) 78 (48-145.5) <0.001
T.BİL 1 (0.8-1.3) 1.4 (0.9-2.7) 0.003
Cholesterol 1.2 (1-1.3) 1.2 (1.1-1.4) 0.264
ALT 35.5 (25-56.3) 57 (32.5-99.5) 0.001

Table 3B: Blood parameters of patients with low AFP (<100 IU/mL) and high or low GGTP plus ESR levels.

When the tumor characteristics of patients with high versus low combination GGT plus ESR were compared (Table 3C), AFP differences were unsurprisingly lost in this low AFP sub-cohort of patients, as were MTD differences, as all patients in the low AFP sub-cohort had smaller tumors than in the total cohort shown in Table 2B. However, there were significantly more patients with both tumor multifocality and PVT, in the patient group with high levels of the GGT plus ESR combination, than in the group with low levels of combination GGT plus ESR in Table 3C.

  GGTP ≤ 100 and ESR ≤ 15 GGTP>100 and ESR>15  
  Median (1stQ-3rdQ.) Median (1stQ-3rdQ.) P
MTD size 5 (3-7) 5 (3.3-8.9) 0.27
AFP 7.8 (3.4-13.3) 11.5 (2.5-36.8) 0.256
  % % p
Tumor # ≤ 2 81.8 43.9 <0.001
Tumor # > 2 18.2 56.1
PVT (-) 95.6 71.9 0.004
PVT (+) 4.4 28.1

Table 3C: Tumor characteristics in patients with high or low serum GGTP plus ESR levels, for low AFP (<100 IU/mL) patients.

Triplet combination of blood GGT, ESR plus CRP levels

Since CRP has already been established as a prognostically useful inflammatory marker [6-11], CRP levels were added to GGT plus ESR doublet, to form a triplet marker combination. Survival was examined for patients who had low or high levels of triplet combination GGT, ESR plus CRP (Table 4). For the total cohort (Table 4A), survival for low vs. high triplet combination levels was 116.3 vs. 32 months, P<0.001 with an HR by Cox of 3.585, P<0.001. This was slightly better than the performance of the GGT plus ESR doublet results in Table 1B. For the low AFP sub-cohort of patients, survival for low vs. high triplet combination levels was 135.18 vs. 16.22 months, P<0.001 and HR by Cox of 5.756, P=0.002. This HR was higher than the performance of doublet GGT plus ESR results, HR of 3.745 in Table 3, for the identical low AFP patients.

Kaplan-Meier Analysis Univariate Cox regression
  Log-Rank HR HR
P-value (95% CI) P-value
Total cohort: GGT ≤ 100 & ESR ≤ 15 & CRP ≤ 6 <0.001 reference  
GGT>100 and ESR>15 and CRP>6 3.585 (1.806-7.116) <0.001
Lo AFP patients* GGT ≤ 100 and ESR ≤ 15 and CRP ≤ 6 <0.001 reference  
GGT>100 and ESR>15 and CRP>6 5.756 (1.946-17.028) 0.002

Table 4A: Kaplan-Meier analysis and Cox regression according to blood GGT, ESR and CRP values together in total and low serum AFP cohorts.

Tumor characteristics were next examined according to the triplet combination (Table 4B). MTD of 9.7 cm was significantly greater than MTD of 5 cm, for the high vs. low levels of the triplet combination, P<0.001, and the range was greater than for the duplet combination of 7.5 vs. 5.1 cm shown in Table 2, P=0.008. For the other tumor parameters, the differences were comparable for high vs. low triplet combination as for high vs. low doublet combination. The triplet combination was finally used to examine the tumor characteristics in the low AFP patients (Table 4C). Patients with high triplet values had significantly larger tumors than those with low triplet values, MTD 5 vs. 11 cm, P=0.001, whereas there were no differences in MTD for the high vs. low doublet values seen in Table 3C. When tumor multifocality and percent of patients with PVT were examined, there were significantly higher percentages in the high value triplet group when compared to the low value triplet group (Table 4C, lower half), and this result was similar for the doublet combination of Table 3.

  GGTP ≤ 100 and ESR ≤ 15  C and RP ≤ 6 GGTP>100 and ESR>15 and CRP>6  
  Median (1stQ-3rdQ.) Median (1stQ-3rdQ.) P
MTD size 5 (3-7) 9.7 (6.7-14) <0.001
AFP 12.8 (5.6-185.7) 456 (25.8-2969) 0.001
  % % P
Tumor # ≤ 2 84.1 48.5 0.002
Tumor #>2 15.9 51.5
PVT (-) 95.7 52.9 <0.001
PVT (+) 4.3 47.1

Table 4B: Tumor characteristics in patients with high or low blood GGT, ESR and CRP levels together in total cohort.

  GGTP ≤ 100 and ESR ≤ 15 and CRP ≤ 6 GGTP>100 and ESR>15 and CRP>6  
  Median (1stQ-3rdQ.) Median (1stQ-3rdQ.) P
MTD size 5(3-7) 11(6.6-14.5) 0.001
AFP 7.765(4-15.6) 15.15(2.99-41) 0.276
  % % p
Tumor # ≤ 2 93.5 54.5 0.009
Tumor #>2 6.5 45.5
PVT (-) 96.9 54.5 0.003
PVT (+) 3.1 45.5

Table 4C: Tumor characteristics in patients with high or low blood GGT, ESR and CRP levels together in low serum AFP cohort.

Discussion

The prognosis for most solid tumors of adults is typically much better when treatment can be delivered early in the course of the disease, instead of later. This usually means threatening at a smaller tumor stage, which in turn depends on early diagnosis. HCC usually does not cause symptoms till late in the disease, so the best current approach for early diagnosis is through screening of asymptomatic patients who are at risk for HCC development. This is most practically done for patients who are already known to have cirrhosis, which is a pre-malignant state and is most commonly caused by chronic infection with hepatitis B or C or alcoholism. Current guidelines recommend screening by use of ultrasonography, typically at 6 monthly intervals in those at risk. A blood test would be more convenient, but the historically-used AFP has recently fallen out of favor, due to the lack of increased AFP levels in at least 50% of HCC patients and to the often-low levels in patients with smaller tumors-just where a surveillance test is most needed. Hence the search for newer screening tools. Prognosticating blood tests have similar problems in that AFP, when it is elevated is very useful, although it is not elevated in many patients. Since HCC arises mainly on the basis of chronic viral or toxic (alcohol or metabolic) liver inflammation, recent attention has focused on inflammatory biomarkers as predictors of survival. Currently, the Glasgow Index, a combination of serum albumin and CRP levels has been found to be useful in many studies [31-37], as have various ratios of platelets to lymphocytes (PLR), neutrophils to lymphocytes (NLR), monocytes to lymphocytes [12-15,38], and more recently, blood CRP levels, ESR levels [16-18] and GGT levels [19-33].

We chose the combination of serum GGT plus blood ESR levels, since on comparison with single parameters ESR, CRP and GGT and double parameters of these same indices, the combination of GGT and ESR had the largest spread of survival times and the highest HR values (Tables 1A and 1B) and cutoffs were selected as published previously for this patient cohort [18,19,39]. Interestingly, when high vs. low values of the combination of GGT plus ESR were compared, there were significant different differences in survival by Kaplan-Meier analysis and Cox regression, when patients with either small or large tumors were examined (Table 1B, lower half). The blood parameter characteristics of patients having high or low levels of combination GGT plus ESR were significantly different for almost every parameter that was studied (Table 2A), with especially higher levels of the liver function tests and CRP and lower (worse) albumin levels for the high GGT plus ESR group. This same group also had significantly worse measures of every tumor parameter (size, number, AFP values and percent of patients with PVT), as shown in Table 2B. A similar approach was used for the low-AFP patient subcohort (Table 3). Survival was also significantly shorter for patients having high vs. low GGT plus ESR combination (less than 50% time), and the Kaplan-Meier analysis Table 3A) showed significant survival differences for the total cohort and the patient group with small tumors (P<0.001 and P=0.016) and approached significance in patients with larger tumors (P=0.054). The high vs. low blood GGT plus ESR groups also showed significant differences in most of the clinical blood parameters (Table 3B), but the tumor parameters were only significantly different for the analysis of percent of patients with tumor multifocality or PVT (Table 3C). The 2 groups were not different in respect of MTD (likely because low serum AFP patients have smaller tumors) nor in respect of AFP levels (by definition of low AFP patients). The poorer survival in the combination with higher GGT plus ESR levels must thus have been due to either worse liver function (higher levels of serum bilirubin, AST, ALT and ALKP) or more aggressive tumor biology (as shown in tumor multifocality and PVT), despite the absence of elevated serum AFP levels. The data thus implies that mediators of aggressive HCC biology must exist that are not reflected in AFP levels.

Since CRP levels were previously established as prognostically useful, CRP levels were added to the GGT plus ESR doublet, forming a triplet marker combination. Patients with low levels of the triplet combination had a 3-fold longer survival than those with high levels, both by Kaplan-Meier and Cox regression. For the patients with low serum AFP, the survival advantage for low levels of the triplet combination was almost 8-fold (Table 4A). Similarly for the tumor characteristics. All the tumor parameters were significantly worse in patients with high vs. low triplet combination levels and the same was also true for low serum AFP patients (except serum AFP levels). Thus, comparing the survival values (HRs) for high vs. low values of the doublet and the triplet combinations (Tables 1B vs. 4A), the HRs by Cox regression were 2.3 vs. 3.585, showing that the triplet had more prognostic power, but at a higher level or operational complexity. Similarly for the low serum AFP subcohort of patients (Tables 3A vs. 4A), the HRs were 3.745 vs. 5.756 by Cox regression, for the doublet vs. the triplet combinations. The triplet combination for both the total cohort and the low serum AFP subcohorts showed some superior prognostic ability compared to the doublet combination, but for additional computational complexity.

What might be the explanation for the prognostic power of the GGT plus ESR combination? Both are regarded as inflammation markers. Inflammation has been shown to be related to tumor growth [1-3,5], likely through the release of complex cascades of tumor growth factors, chemokines, cytokines and prostaglandins. GGT is produced by the liver and by HCCs, unlike ESR, and has been regarded as an HCC biomarker [19-30]. It is important in its involvement in cell damage by reactive oxygen species [41] and its levels rise during oxidative stress. Thus, GGT is a monitor of local inflammation and ESR is a monitor of systemic inflammation. Another aspect of their importance is their prognostic value in the large percent of HCC patients with low serum AFP and their possible use in surveillance in patients with known chronic hepatitis B or C. This prognostic value also draws attention to the potential use of anti-inflammatory agents as potential HCC therapies.

Funding

This work was supported in part by NIH grant CA 82723 (B.I.C)

Author contributions and acknowledgements: BIC-concept and ideas.

BIC, HA-writing; HB, VG, RD-statistics; UK, KY, NE, AO, EA, HY, HS, AU, AB, SK, OU, YU, BG and AD- data collection, database formation and quality of data evaluation from original source documents.

Statement of Ethics

This work complies with the guidelines of the World Medical Association, Declaration of Helsinki. This work was approved by each institution’s IRB as documented in the methods section.

References

  1. Hussain SP, Harris CC. Inflammation and cancer: An ancient link with novel potentials. Int J Cancer. 2007;121:2373
  2. Kundu JK, Surh YJ. Inflammation: Gearing the journey to cancer. Mutat Res. 2008;659:15-30.
  3. Hanahan D, Weinberg RA. Hallmarks of cancer: The next generation. Cell. 2011;144:646-6474.
  4. Maria Grazia Refolo, Caterina Messa, Vito Guerra, Brian Irving Carr, Rosalba D
  5. Mahmoud FA, Rivera NI. The role of C-reactive protein as a prognostic indicator in advanced cancer. Curr Oncol Rep. 2002;4:250
  6. Fabris C, Pirisi M, Soardo G, Toniutto P, Falleti E. Diagnostic usefulness of acute-phase protein measurement in hepatocellular carcinoma. Cancer Invest. 1996;14:103-108.
  7. Godsland IF, North BV, Johnston DG. Simple indices of inflammation as predictors of death from cancer or cardiovascular disease in a prospective cohort after two decades of follow-up. QJM. 2011;104:387-394.
  8. Ma L-M, Liu X-Y, Lu Z-H, Wu L-G, Tang Y-Y. Assessment of high-sensitivity C-reactive protein tests for the diagnosis of hepatocellular carcinoma in patients with hepatitis B-associated liver cirrhosis. Oncol Lett. 2017;13: 3457
  9. Shin JH, Kim CJ , Jeon EJ , Sung CO, Shin HJ. Overexpression of C-reactive Protein as a Poor Prognostic Marker of Resectable Hepatocellular Carcinomas. J Pathol Transl Med. 2015;49:105-111.
  10. Yamamoto M, Kobayashi T, Kuroda S, Hamaoka M, Okimoto S. Verification of inflammation-based prognostic marker as a prognostic indicator in hepatocellular carcinoma. Ann Gastroenterol Surg. 2019;3:667-675.
  11. Xu L, Yu S, Zhuang L, Wang P, Shen Y. Systemic Inflammation Response Index (SIRI) predicts prognosis in hepatocellular carcinoma patients. Oncotarget. 2017;8:34954-34960.
  12. Rosenblatt RE, Tafesh ZH, Halazun KJ. Role of inflammatory markers as hepatocellular cancer selection tool in the setting of liver transplantation. Transl Gastroenterol Hepatol. 2017;2:95.
  13. Pang S, Zhou Z, Yu X, Wei S, Chen Q. The predictive value of integrated inflammation scores in the survival of patients with resected hepatocellular carcinoma: A Retrospective Cohort Study. Int J Surg. 2017;42:170-177.
  14. Peyman MA. The Effect of Malignant Disease on the Erythrocyte Sedimentation Rate. Br J Cancer. 1962;16:56-71.
  15. Carr BI, Pancoska P, Branch RA. Significance of increased serum GGTP levels in HCC patients. Hepatogastroenterol. 2010;57:869-874.
  16. Zhang JB, Chen Y, Zhang B, Xie X, Zhang. Prognostic significance of serum gamma- glutamyl transferase in patients with intermediate hepatocellular carcinoma treated with transcatheter arterial chemoembolization. Eur J Gastroenterol Hepatol. 2011;23:787-793.
  17. Fu S, Guo Z, Li S, Kuang M, Hu W. Prognostic value of preoperative serum gamma-glutamyltranspeptidase in patients with hepatocellular carcinoma after hepatectomy. Tumour Biol. 2015;37:3433-3440.
  18. Ma H, Zhang L, Tang B, Wang Y, Chen R. Gamma-Glutamyltranspeptidase is a prognostic marker of survival and recurrence in radiofrequency-ablation treatment of hepatocellular carcinoma. Ann Surg Oncol. 2014;21:3084-3089.
  19. Sacchetti L, Castaldo G, Salvatore F. The gamma-glutamyltransferase isoenzyme pattern in serum as a signal discriminating between hepatobiliary diseases, including neoplasias. Clin Chem. 1988;34.
  20. Xu K, Meng XY, Wu JW, Shen B, Shi YC, Wei Q. Diagnostic value of serum gamma-glutamyl transferase isoenzyme for hepatocellular carcinoma: A 10-year study. Am J Gastroenterol. 1992;87:991
  21. Zhu J, Jiang F, Ni HB, Xiao MB, Chen BY. Combined analysis of serum ?-glutamyl transferase isoenzyme II, ?-L-fucosidase and ?-fetoprotein detected using a commercial kit in the diagnosis of hepatocellular carcinoma. Exp Ther Med. 2013;5:89
  22. Hou S-C, Xiao M-B, Ni R-Z, Ni W-K, Jiang F. Serum GP73 is complementary to AFP and GGT-II for the diagnosis of hepatocellular carcinoma. Oncol Lett. 2013; 6:1152
  23. Cui R, He J, Zhang F, Wang B, Ding H, Shen H, et al.. Diagnostic value of protein induced by vitamin K absence (PIVKAII) and hepatoma-specific band of serum gamma-glutamyl transferase (GGTII) as hepatocellular carcinoma markers complementary to ?-fetoprotein. Br J Cancer. 2003;88:1878
  24. Yao DF, Huang ZW, Chen SZ, Huang JF, Lu JX, Xiao MB et al. Diagnosis of hepatocellular carcinoma by quantitative detection of hepatoma-specific bands of serum gammaglutamyltransferase. Am J Clin Pathol. 1998;110(6):743-749.
  25. Castaldo G, Intrieri M, Castellano L, de Sio I, Del Vecchio Blanco C, Sacchetti L et al. Serum gamma-glutamyltransferase isoform complexed to LDL in the diagnosis of small hepatocellular carcinoma. Clin Chem. 1992;45:1100-1102.
  26. Yao DF, Dong ZZ, Yao DB, Wu XH, Wu W, Qiu LW, et al. Abnormal expression of hepatoma-derived gamma-glutamyltransferase subtyping and its early alteration for carcinogenesis of hepatocytes. Hepatobiliary Pancreat Dis Int. 2004;3:564
  27. McMillan DC, Crozier JE, Canna K, Angerson WJ, McArdle CS. Evaluation of an inflammation-based prognostic score (mGPS) in patients undergoing resection for colon and rectal cancer. Int J Colorectal Dis. 2007;22:881
  28. Ishizuka M, Kubota K, Kita J. Impact of an inflammation-based prognostic system on patients undergoing surgery for hepatocellular carcinoma: A retrospective study of 398 Japanese patients. Am J Surg. 2012;203:101
  29. Horino K, Beppu T, Kuroki H. Glasgow prognostic score as a useful prognostic factor after hepatectomy f hepatocellular carcinoma. Int J Clin Oncol. 2013;18:829
  30. Li MX, Bi XY, Li ZY. Prognostic role of glasgow prognostic score in patients with hepatocellular carcinoma: A systematic review and meta-analysis. medicine. 2015;94(49):e2133.
  31. Shiba H, Horiuchi T, Sakamoto T. Glasgow prognostic score predicts therapeutic outcome after hepatic resection for hepatocellular carcinoma. Oncol Lett. 2017;14:293
  32. Kinoshita A, Onoda H, Imai N. Comparison of the prognostic value of inflammation-based prognostic score in patients with hepatocellular carcinoma. Br J Cancer. 2012;107:988
  33. Pinato DJ, Stebbing J, Ishizuka M, et al. A novel and validated prognostic index in hepatocellular carcinoma: the inflammation based index (IBI) J Hepatol. 2012;57:1013
  34. Ince C, Carr BI, Bag H, Koc C, Usta S. Gamma glutamyl transpeptidase as a prognostic biomarker in hepatocellular cancer patients treated by liver transplantation. Int J Biol Markers 2020;35:91-95.
  35. Xia J, Song P, Sun Z, Sawakami T, Jia M, Wang Z. Advances of diagnostic and mechanistic studies of ?-glutamyl transpeptidase in hepatocellular carcinoma. Drug Discov Ther. 2016;10:181-187.

Author Info

Brian Carr1*, Akkiz H2, Guerra V3, Donghia R3, Yalçin K4, Karaogullarından U2, Altıntas E6, Ozakyol A5, Şimşek H7, Balaban HY7, Balkan A8, Uyanıkoglu A9 and Ekin N4
 
1Department of Gastroenterology, İnönü University, Malatya, Turkey
2Department of Gastroenterology, Cukurova University, Adana, Turkey
3Department of Gastroenterology, National Institute of Gastroenterology, S. de Bellis Research Hospital, Castellana Grotte (BA), Italy
4Department of Gastroenterology, Dikle University, Diyarbakır, Turkey
5Department of Gastroenterology, Eskisehir Osmangazi University, Eskişehir, Turkey
6Department of Gastroenterology, Mersin University, Mersin, Turkey
7Department of Gastroenterology, Hacettepe University, Ankara, Turkey
8Department of Gastroenterology, Gaziantep University, Gazientep, Turkey
9Department of Gastroenterology, Harran University, Sanl?urfa, Turkey
 

Citation: Carr B, Akkiz H, Bag HG, Guerra V, Donghia R, Yalçın K, et al. (2020) Erythrocyte Sedimentation Rate and Gamma-glutamyl Transpeptidase Combined are Potent Predictors of Survival and Tumor Characteristics in Hepatocellular Carcinoma Patients. J Clin Trials. 10:425.

Received: 04-Aug-2020 Accepted: 18-Aug-2020 Published: 25-Aug-2020

Copyright: © 2020 Carr B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top