Literature DB >> 28373775

Multi-analyte analysis of cytokines that predict outcomes in patients with hepatocellular carcinoma treated with radiotherapy.

Hyejung Cha1, Eun Jung Lee1, Jinsil Seong1.   

Abstract

AIM: To analyze cytokine levels and to identify their association with outcome in patients with hepatocellular carcinoma (HCC) treated with radiotherapy (RT).
METHODS: Patients with HCC who were treated with RT were eligible for this prospective study. Blood samples were collected before and after RT, and serum cytokine levels including interleukin (IL)-1, IL-6, IL-8, IL-10, IL-12, and tumor necrosis factor-α were analyzed.
RESULTS: Between 2008 and 2009, 51 patients were enrolled in this study. Baseline IL-6 level was high in patients with a history of pre-RT treatment. Median survival was 13.9 mo with alpha-fetoprotein (AFP) as a significant factor (P = 0.020). Median failure-free survival (FFS) for infield, outfield-intrahepatic and extrahepatic failures were 23.3, 11.5 and 12.0 mo, respectively. Sex and baseline IL-6 level were associated with infield FFS, and baseline IL-10 level was correlated with outfield-intrahepatic FFS. For extrahepatic FFS, AFP was significant (P = 0.034). Patients with a baseline IL-6 level of ≥ 9.7 pg/mL showed worse infield FFS (P = 0.005), and this significance was observed only in treatment-non-naïve patients (P = 0.022).
CONCLUSION: In addition to AFP, cytokines seem useful in predicting infield and outfield-intrahepatic failure. Serum cytokines could be useful biomarkers for predicting RT outcome in HCC.

Entities:  

Keywords:  Cytokine; Hepatocellular carcinoma; Interleukin-6; Radiotherapy

Mesh:

Substances:

Year:  2017        PMID: 28373775      PMCID: PMC5360650          DOI: 10.3748/wjg.v23.i11.2077

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


Core tip: A prospective study to identify associations between serum cytokine levels and radiotherapy (RT) outcomes was performed in 51 patients with hepatocellular carcinoma. Baseline serum interleukin (IL)-6 levels were higher in patients with treatment failure than in those without treatment failure. This significant difference was observed only in treatment-non-naïve patients. To predict RT outcomes, analysis of baseline serum IL-6 levels may be helpful.

INTRODUCTION

The liver is an organ that is enriched with immune cells. Chronic inflammation caused by infection with hepatitis B or C virus or by steatohepatitis is a risk factor for the development of hepatocellular carcinoma (HCC). Continued cytokine-induced hepatocyte damage followed by hepatocyte regeneration leads to HCC development. The involvement of interleukin (IL)-1, IL-2, IL-6, IL-10, IL-12, tumor necrosis factor (TNF)-α, and transforming growth factor (TGF)-β in hepatocarcinogenesis has been reported. As levels of these cytokines are more increased in patients with HCC than in healthy individuals or patients with cirrhosis, they have been studied as biomarkers for the detection of HCC[1-5]. It has been reported that cytokine levels are associated with the radiation response of the tumor. In general, elevated pro-inflammatory cytokine levels before radiotherapy (RT) correlated with treatment resistance and poor treatment outcome in several cancers. Radiation-induced pro-inflammatory cytokine pathways within tumor cells may help the cells survive RT[6]. Recently, the application of RT in the treatment of HCC has increased[7]. However, there have been few studies on the role of cytokines in the RT response in patients with HCC. Several biomarkers in cancer detection or treatment have been studied. As mentioned, cytokines play a role in cancer development and treatment response. Cytokine levels in serum or plasma are easily accessible and may be useful as biomarkers in screening for cancer or predicting outcomes[8]. The aim of this study was to analyze serum cytokine levels and to identify the significance of serum cytokines in treatment outcomes for patients with HCC treated with RT.

MATERIALS AND METHODS

This study was conducted prospectively and conformed to the ethical guidelines of the Declaration of Helsinki. It was approved by the Institutional Review Board at Yonsei Severance Hospital (IRB number: 4-2008-2012). All patients were enrolled after providing written informed consent. The number of patients was calculated using a one-sample t-test. Based on an expected dropout rate of 10%, we planned to enroll 109 patients. However, the study was closed early due to poor accrual. Ultimately, 51 patients were included in this study between September 2008 and October 2009. RT was performed using 3D conformal RT or intensity-modulated RT. Blood samples were collected from patients before the start and at completion of the RT schedule. We selected serum cytokines, including IL-1, IL-6, IL-8, IL-10, IL-12 and TNF-α, for analysis that were known to be associated with HCC. Serum cytokine levels were measured using Cytokine Bead Array kits according to the manufacturer’s instructions (BD Biosciences, San Jose, CA, United States) using a fluorescence-activated cell sorting (FACS) Verse flow cytometer (Becton Dickinson, Franklin Lakes, NJ, United States). The baseline level was defined as the value before RT. We classified patterns of failure into three categories: infield failure, outfield-intrahepatic failure, and extrahepatic failure. Infield failure was defined as progression of the tumor within the RT field that covered the planning target volume. Intrahepatic failure was defined as progression of the tumor within the liver but outside of the RT field. Extrahepatic failure was a distant metastasis in lung, bone, etc. Overall survival (OS) and failure-free survival (FFS) were calculated from the first date of RT to the date of death and disease progression, respectively.

Statistical analysis

The statistical significance of differences in mean values according to patient and tumor characteristics was determined using Student’s t-test or a one-way analysis of variance. Survival rates were evaluated using a Kaplan-Meier analysis, and the correlation between FFS and clinical factors or serum cytokine level as a continuous variable was analyzed using the Cox hazard proportional model. Multivariate analysis was performed using the Cox stepwise regression model. The cut-off value of IL-6 was obtained from a receiver operating characteristic (ROC) curve based on the Youden index. Statistical analysis was performed using SPSS 20.0 (IBM, Armonk, NY, United States).

RESULTS

Patient, tumor and treatment characteristics

The median follow-up duration for the entire patient population was 13.3 mo (range, 1.6-63.5 mo). The patient, tumor and treatment characteristics are described in Table 1. The median age was 54 years (range, 32-75 years). Most patients (92.2%) were diagnosed with International Union Against Cancer (UICC) stage III or IV HCC, and half of the patients had Barcelona Clinic Liver Cancer (BCLC) stage C disease at the time of RT. Twenty-two patients (43.1%) had a history of pre-RT treatment and were defined as treatment-non-naïve patients. All treatment-non-naïve patients received transarterial chemoembolization (TACE) or transarterial chemoinfusion before RT. Additionally, surgery, radiofrequency ablation, holmium, or intra-arterial chemotherapy was performed in 7 patients. The median serum levels of alpha-fetoprotein (AFP) and PIVKA-II were 141.9 IU/mL (range, 1.53-83000 IU/mL) and 600 mAU/mL (range, 12-2000 mAU/mL), respectively. The median total prescribed dose of RT was 50.4 Gy (range, 45-64.8 Gy) and median duration of RT was 34 d (range, 25-56 d).
Table 1

Patient, tumor and treatment characteristics

CharacteristicnPercent
Age (yr), median54 (range, 32-75)
SexMale4486.3
Female713.7
Viral typeB4486.3
C47.8
NBNC35.9
Child-Pugh classA4996.1
B23.9
Modified UICC stageII47.8
III3262.7
IV1529.5
BCLC stageA1427.5
B1223.5
C2549.0
PVTNo3160.8
Yes2039.2
MultiplicityNo2549.0
Yes2651.0
Tumor size in cm, median8.5 (range, 1.0-19.6)
AFP (IU/mL), median141.9 (range, 1.53-83000)
PIVKA-II (mAU/mL), median600 (range, 12-2000)
Treatment-naïveYes2956.9
No2243.1
Total dose of RT (Gy), median50.4 (range, 45-64.8)

NBNC: Non-B non-C; UICC: International Union Against Cancer; BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy.

Patient, tumor and treatment characteristics NBNC: Non-B non-C; UICC: International Union Against Cancer; BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy.

Serum cytokine as a prognostic biomarker

We evaluated the correlation between baseline serum cytokine levels and the characteristics of patients and tumors (Figure 1). Baseline IL-6 and IL-8 levels were found to increase with the UICC stage. When comparing stage II with stage IV, there was a significant difference in the IL-8 level (P = 0.006), and IL-6 showed borderline significance (P = 0.051). Treatment-non-naïve patients showed higher baseline serum IL-6 levels than treatment-naïve patients (P = 0.028). There were no significant differences in serum cytokine levels according to sex, BCLC stage, portal vein thrombosis, tumor multiplicity, and pre-RT tumor marker level.
Figure 1

Baseline serum cytokine levels according to tumor characteristics. A, C, D, E, F and G: There were no significant differences in serum cytokine levels according to sex, BCLC stage, portal vein thrombosis, multiplicity and level of alpha-fetoprotein; B: When comparing stage II with stage IV, interleukin (IL)-8 levels showed a significant difference (aP = 0.006) and IL-6 showed a borderline significance (P = 0.051); H: Treatment-non-naïve patients showed higher baseline serum IL-6 levels than treatment-naïve patients (aP = 0.028).

Baseline serum cytokine levels according to tumor characteristics. A, C, D, E, F and G: There were no significant differences in serum cytokine levels according to sex, BCLC stage, portal vein thrombosis, multiplicity and level of alpha-fetoprotein; B: When comparing stage II with stage IV, interleukin (IL)-8 levels showed a significant difference (aP = 0.006) and IL-6 showed a borderline significance (P = 0.051); H: Treatment-non-naïve patients showed higher baseline serum IL-6 levels than treatment-naïve patients (aP = 0.028).

Serum cytokine as a predictive biomarker

Forty-five patients (88.2%) died during the follow-up period. Median OS was 13.9 mo (range, 2.2-63.5 mo) and 1-year and 2-year survival rates were 56.9% and 33.3%, respectively. The AFP level was only a significant factor for OS (P = 0.020, RR, 1.001, 95%CI: 1.000-1.002). There was no correlation between OS and baseline serum cytokine level (Table 2).
Table 2

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - overall survival

Univariate
Multivariate
P valueRR (95%CI)P valueRR (95%CI)
Sex0.5801.276 (0.538-3.027)
Age0.9541.001 (0.970-1.033)
Stage0.8611.052 (0.600-1.844)
BCLC0.2241.252 (0.872-1.799)
Size0.3081.037 (0.967-1.113)
PVT0.1321.581 (0.871-2.871)
LN metastasis0.8671.092 (0.389-3.061)
Multiplicity0.9571.016 (0.561-1.841)
AFP0.0201.001 (1.000-1.002)0.0201.001 (1.000-1.002)
PIVKA-II0.2111.022 (0.988-1.056)
Pre-RT treatment0.6930.887 (0.487-1.608)
Baseline IL-10.2620.979 (0.942-1.016)
Baseline IL-60.6921.001 (0.996-1.007)
Baseline IL-80.7701.000 (0.998-1.002)
Baseline IL-100.9090.994 (0.890-1.109)
Baseline IL-120.4491.014 (0.978-1.052)
Baseline TNF-α0.5730.984 (0.930-1.041)

Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor.

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - overall survival Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor. During the follow-up period, treatment failures occurred in 40 patients (79.4%), and infield, outfield-intrahepatic and extrahepatic failures were observed in 19, 31 and 31 patients, respectively. The median FFS for infield, outfield-intrahepatic, and extrahepatic failures were 23.3, 11.5 and 12.0 mo, respectively. The correlation of FFS with tumor characteristics and baseline cytokine level was described in Tables 3, 4 and 5. For infield FFS, sex (P < 0.001, RR, 47.505, 95%CI: 7.384-305.601) and baseline serum IL-6 level (P < 0.001, RR, 1.019, 95%CI: 1.011-1.028) were statistically significant. Baseline serum IL-10 level was a significant factor for outfield-intrahepatic FFS (P = 0.026, RR, 0.830, 95%CI: 0.705-0.978), and AFP was associated with extrahepatic failure (P = 0.034, RR, 1.001, 95%CI: 1.000-1.003).
Table 3

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - infield failure-free survival

Univariate
Multivariate
P valueRR (95%CI)P valueRR (95%CI)
Sex0.00110.262 (2.479-42.481)< 0.00147.505 (7.384-305.601)
Age0.1980.968 (0.921-1.017)
Stage0.0822.106 (0.911-4.871)
BCLC0.4411.257 (0.702-2.250)
Size0.9031.007 (0.904-1.121)
PVT0.2471.741 (0.681-4.452)
LN metastasis0.4081.867 (0.425-8.191)
Multiplicity0.9441.033 (0.412-2.591)
AFP0.6530.999 (0.996-1.002)
PIVKA-II0.8890.996 (0.947-1.048)
Pre-RT treatment0.2901.627 (0.660-4.013)
Baseline IL-10.8950.997 (0.955-1.041)
Baseline IL-60.0001.011 (1.005-1.018)< 0.0011.019 (1.011-1.028)
Baseline IL-80.9851.000 (0.997-1.003)
Baseline IL-100.4371.060 (0.915-1.227)
Baseline IL-120.9030.996 (0.938-1.059)
Baseline TNF-α0.8640.993 (0.918-1.074)

Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor.

Table 4

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - outfield-intrahepatic failure-free survival

Univariate
Multivariate
P valueRR (95%CI)P valueRR (95%CI)
Sex0.3871.539 (0.579-4.086)
Age0.8340.996 (0.959-1.035)
Stage0.6010.834 (0.423-1.646)
BCLC0.3831.210 (0.788-1.859)
Size0.5340.974 (0.898-1.058)
PVT0.3261.433 (0.699-2.940)
LN metastasis0.3870.530 (0.126-2.230)
Multiplicity0.3031.464 (0.709-3.021)
AFP0.6491.000 (0.999-1.002)
PIVKA-II0.9201.002 (0.963-1.043)
Pre-RT treatment0.7451.126 (0.550-2.307)
Baseline IL-10.5731.015 (0.964-1.069)
Baseline IL-60.2710.950 (0.985-1.004)
Baseline IL-80.9421.000 (0.998-1.002)
Baseline IL-100.0260.830 (0.705-0.978)0.0260.830 (0.705-0.978)
Baseline IL-120.1970.959 (0.901-1.022)
Baseline TNF-α0.2400.951 (0.876-1.034)

Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor.

Table 5

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - extrahepatic failure-free survival

Univariate
Multivariate
P valueRR (95%CI)P valueRR (95%CI)
Sex0.1532.043 (0.768-5.438)
Age0.5020.987 (0.951-1.025)
Stage0.1961.562 (0.795-3.070)
BCLC0.7820.942 (0.615-1.441)
Size0.8301.010 (0.926-1.101)
PVT0.9880.994 (0.465-2.125)
LN metastasis0.9360.952 (0.289-3.141)
Multiplicity0.6221.197 (0.586-2.448)
AFP0.0341.001 (1.000-1.003)0.0341.001 (1.000-1.003)
PIVKA-II0.4491.016 (0.976-1.057)
Pre-RT treatment0.8781.057 (0.520-2.147)
Baseline IL-10.7251.005 (0.977-1.034)
Baseline IL-60.5291.002 (0.996-1.007)
Baseline IL-80.5461.001 (0.999-1.003)
Baseline IL-100.3091.062 (0.946-1.193)
Baseline IL-120.7261.009 (0.962-1.058)
Baseline TNF-α0.9561.002 (0.942-1.066)

Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor.

Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - infield failure-free survival Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor. Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - outfield-intrahepatic failure-free survival Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor. Univariate and multivariate analyses of clinical factors or cytokines for failure-free survival - extrahepatic failure-free survival Age, size, AFP, PIVKA-II, and baseline cytokine levels were analyzed as continuous variables using the Cox hazard ratio model. BCLC: Barcelona Clinic Liver Cancer; PVT: Portal vein thrombosis; LN: Lymph node; AFP: α-fetoprotein; PIVKA-II: Prothrombin induced by vitamin K absence-II; RT: Radiotherapy; IL: Interleukin; TNF: Tumor necrosis factor. The cut-off value of baseline serum IL-6 level for infield FFS was 9.735 (Figure 2A; AUC 0.748, P = 0.003, 95%CI: 0.607-0.888). Patients with a baseline serum IL-6 level higher than 9.7 pg/mL showed worse infield FFS than those with a baseline serum IL-6 level less than 9.7 pg/mL (Figure 2B; P = 0.005).
Figure 2

Infield failure-free survival according to cut-off value of baseline serum interleukin-6. A: The cut-off value of interleukin (IL)-6 was obtained from a receiver operating characteristic (ROC) curve based on the Youden index (AUC, 0.748, P = 0.003, 95%CI: 1.011-1.028); B: Patients with baseline serum IL-6 level higher than 9.7 pg/mL showed worse infield FFS than those with baseline serum IL-6 level lower than 9.7 pg/mL (47.5% vs 100%, P = 0.005); C and D: In subgroup analysis, the significant difference of infield FFS was observed only in treatment-non-naïve patients (P = 0.022).

Infield failure-free survival according to cut-off value of baseline serum interleukin-6. A: The cut-off value of interleukin (IL)-6 was obtained from a receiver operating characteristic (ROC) curve based on the Youden index (AUC, 0.748, P = 0.003, 95%CI: 1.011-1.028); B: Patients with baseline serum IL-6 level higher than 9.7 pg/mL showed worse infield FFS than those with baseline serum IL-6 level lower than 9.7 pg/mL (47.5% vs 100%, P = 0.005); C and D: In subgroup analysis, the significant difference of infield FFS was observed only in treatment-non-naïve patients (P = 0.022). As baseline serum IL-6 level significantly differed between treatment-non-naïve and treatment-naïve patients, we performed a subgroup analysis based on pre-RT treatment. The subgroup analysis indicated the significant difference in baseline serum IL-6 level was observed only in treatment-non-naïve patients (Figure 2C and D; P = 0.002).

Variation of serum cytokine levels

We also analyzed serum cytokine levels on completion of RT (Table 6). After RT, serum IL-10 level had increased from 4.19 ± 0.41 to 5.83 ± 0.46 (P = 0.002), and serum IL-12 level had decreased from 6.10 ± 1.01 to 4.10 ± 0.59 (P = 0.018). However, these changes were not associated with survival or treatment failure. Variations in the serum levels of other cytokines after RT were not significant.
Table 6

Variation of serum cytokine levels before and after radiotherapy (mean ± SEM)

Before RT (pg/mL)After RT (pg/mL)P value
IL-16.77 ± 1.189.13 ± 1.510.229
IL-631.63 ± 7.3429.54 ± 6.600.794
IL-8115.75 ± 19.84159.73 ± 38.960.211
IL-104.19 ± 0.415.83 ± 0.460.002
IL-126.10 ± 1.014.10 ± 0.590.018
TNF-α4.27 ± 0.793.33 ± 0.400.130

IL: Interleukin; TNF: Tumor necrosis factor; RT: Radiotherapy.

Variation of serum cytokine levels before and after radiotherapy (mean ± SEM) IL: Interleukin; TNF: Tumor necrosis factor; RT: Radiotherapy.

Treatment toxicity

The median value of the mean liver dose was 20.3 Gy (range, 5.7-34.9 Gy), and there were no cases of severe radiation-induced liver disease during RT and until 3 mo after the completion of RT. Grade 3-4 hematologic toxicities including anemia, neutropenia and thrombocytopenia were reported in 6, 12 and 9 patients, respectively. There were also 3 cases of hypoalbuminemia, 8 cases of hyperbilirubinemia, 10 cases of elevated liver enzymes, and 3 cases of gastrointestinal bleeding (> grade 3).

DISCUSSION

In this study, we investigated whether the serum levels of six cytokines (IL-1, IL-6, IL-8, IL-10, IL-12 and TNF-α) would have clinical significance in patients with HCC who were treated with RT. We demonstrated that patients with a history of pre-RT treatment showed a higher baseline serum IL-6 level than treatment-naïve patients. A high baseline serum IL-6 level was also associated with infield failure. The subgroup analysis revealed that baseline serum IL-6 levels were associated with infield failure only in treatment-non-naïve patients. IL-6 is a pro-inflammatory cytokine and one of the well-characterized pro-tumorigenic cytokines. It is upregulated in many cancers and is important for tumor cell proliferation, survival, differentiation, migration, invasion, metastasis and angiogenesis[9]. In the liver, IL-6 is involved in acute phase response, liver generation, and regulation of physiological and pathophysiological conditions. Similar to other cancers, IL-6 has been shown to be correlated with HCC development risk, advanced stage and poor survival[10-12]. In this study, serum IL-6 level showed borderline significance between patients with stage II and IV disease, most likely due to the small number of patients with stage II disease (n = 4). A history of pre-RT treatment was associated with a difference in baseline serum IL-6 level. Most of the treatment-non-naïve patients underwent TACE, and previous studies have demonstrated that serum IL-6 level increases after TACE and is correlated with post-TACE inflammation[13,14]. In these studies, the increase of serum IL-6 level occurred within several days after TACE and was attributed to a protective function of IL-6 against acute liver injury. In this study, the time interval between the last TACE and the start of RT was median 1.5 mo (range, 0.2-17.5 mo) and the baseline serum level was not correlated with the time interval. Therefore, the elevated serum IL-6 level in treatment-non-naïve patients of our study cannot be explained only by a pre-RT history of TACE. After TACE, TACE-induced hepatic tissue injuries around the tumor provoke an inflammatory response and alter the immune system. These inflammatory cytokine responses, including IL-6, may also induce tumor recurrence or progression after TACE. Among serum cytokines, only baseline serum IL-6 was a significant factor for treatment failure in the RT field in this study. The effect of serum IL-6 on RT and chemoradiotherapy (CRT) response has been reported in many cancers, including lung, prostate, esophagus, stomach, pancreas, and head and neck cancers[15-17]. In previous reports, an elevated serum IL-6 level before RT/CRT was associated with poor treatment outcome. A high serum IL-6 level is known to correlate with tumor aggressiveness and associated tumor factors that affect treatment outcome, such as large size and advanced stage. However, there have been few studies on the effect of serum IL-6 on RT response in HCC. Jang et al[11] reported that IL-6 was a strong inflammatory indicator for predicting the outcome in patients with HCC who received loco-regional therapy (mainly TACE). RT was considered in patients with portal vein thrombosis or extrahepatic metastasis, and only 13 patients received RT after TACE. A higher IL-6 level was correlated with shorter survival. Chen et al[18] investigated the role of IL-6 in the radiation response of liver tumors. IL-6 expression was positively linked to radiation resistance in both in vivo and in vitro experiments. The authors suggested that concurrent treatment with IL-6 inhibitors could be a potential therapeutic strategy for increasing the radiation response of tumors. In a previous report, we described the results of hepatic arterial concurrent chemoradiotherapy (CCRT) for advanced HCC and found that pre-CCRT treatment history was a predictive risk factor for treatment failure, particularly infield failure[19]. Based on the results of the current study, this difference in treatment outcome might be explained by the fact that treatment-non-naïve patients had higher baseline serum IL-6 levels than treatment-naïve patients. Although application of RT has increased in the treatment of HCC, RT continues to be used as either complementary or salvage treatment after other treatment modalities such as TACE, radiofrequency ablation or surgery, rather than as a primary treatment. Therefore, assessment of baseline serum cytokine levels, particularly IL-6, could be helpful in predicting the treatment outcome in treatment-non-naïve patients. To determine a useful criterion for predicting treatment outcomes in clinics, we identified the predictive cut-off value of baseline serum IL-6 level by ROC curve analysis. And 9.7 pg/mL as cut-off value was useful to predict infield failure in this study. Further study is needed to verify this cut-off value in many patients with HCC treated with RT. In this study, lower serum IL-10 level was correlated with worse outfield-intrahepatic FFS. IL-10 is known as a pleiotropic cytokine with dual roles in the immune system, including immune-suppression and immune-stimulation[20]. Many studies reported that serum IL-10 levels were higher in cancer patients than in healthy cohorts and that a higher IL-10 level was associated with worse prognosis[21]. However, other contradictory reports showed that patients with IL-10-negative tumors showed poor prognosis[22,23]. The inhibition of inflammatory cytokines and the stimulation of cytotoxic T cells by IL-10 have been further studied for cancer treatment using recombinant IL-10[24]. After RT, serum levels of IL-10 increased while the levels of IL-12 decreased. Several studies demonstrated changes in cytokine expression resulting from treatment of HCC. Cytokine levels are altered after treatment regimens including surgery or TACE; however, the direction of the change has not always been consistent between studies[25,26]. Although the change in the serum IL-10 or IL-12 level was not significantly associated with treatment failure in this study, these findings indicate that local RT might produce a systemic effect. It has been reported that local RT triggers systemic effects through the recruitment of biological effectors outside the radiation field[27]. The small number of patients was a limitation of this study and this limitation could affect statistical significance. Further large scale studies are needed to confirm our finding and to examine how radiation affects serum cytokine levels in HCC. In addition, this study was performed only in patients treated with RT. Further studies to identify serum cytokine levels in patients with HCC treated with other various treatment modalities might also be useful. In conclusion, the current findings suggest that an assessment of serum cytokines may be helpful for predicting treatment outcome after RT in patients with HCC. In addition to tumor marker AFP, cytokines seemed to be useful in predicting infield failure (IL-6) and outfield-intrahepatic failure (IL-10). Serum cytokines could be useful biomarkers for predicting RT outcome in HCC.

COMMENTS

Background

The role of cytokines in carcinogenesis and treatment response in many cancers has been reported. Serum cytokine levels are easily accessible and may be useful as biomarkers in screening for cancers or predicting outcomes. Although the application of radiotherapy (RT) in the treatment of hepatocellular carcinoma (HCC) has increased, the role of cytokine in the RT response in patients with HCC is not well known.

Research frontiers

The study on the identification of significant cytokine in cancer screening or prediction of treatment outcome is an important area. As the application of RT for HCC increases, it has become important to find a useful biomarker to predict RT outcome in patients with HCC.

Innovations and breakthroughs

The association between cytokine levels and treatment response is known in many cancers. However, there are few studies on the role of cytokines in the RT response in patients with HCC. This study aimed to identify the significance of serum cytokines in the treatment outcomes for patients with HCC treated with RT. In this study, the authors collected samples prospectively and analyzed the serum cytokines before and after RT. We demonstrated that patients with a history of pre-RT treatment showed a higher baseline serum IL-6 level than treatment-naïve patients and a high baseline was also shown to be associated with infield failure, especially in treatment-non-naïve patients.

Applications

The results of this study suggest that the assessment of pre-RT serum cytokine levels, particularly IL-6, could be helpful in predicting treatment outcome in treatment-non-naïve paints.

Terminology

IL-6 is a pro-inflammatory cytokine and one of the well-characterized pro-tumorigenic cytokines. A high serum IL-6 level before RT or chemoradiotherapy was associated with poor treatment outcome in many cancers. Infield failure was defined as progression of the tumor within the RT field that covered the planning target volume.

Peer-review

This paper is relevant and adds to the literature. The use of cytokines is an active area of research and this group appears to be at the forefront of this investigation. Although a small number of patients limit the significance of this study, the results are clear and seem to promote further studies.
  27 in total

1.  Serum cytokine levels in patients with hepatocellular carcinoma.

Authors:  Francesca Capone; Susan Costantini; Eliana Guerriero; Rosa Calemma; Maria Napolitano; Stefania Scala; Francesco Izzo; Giuseppe Castello
Journal:  Eur Cytokine Netw       Date:  2010-05-18       Impact factor: 2.737

2.  Development and validation of a prognostic model using blood biomarker information for prediction of survival of non-small-cell lung cancer patients treated with combined chemotherapy and radiation or radiotherapy alone (NCT00181519, NCT00573040, and NCT00572325).

Authors:  Cary Dehing-Oberije; Hugo Aerts; Shipeng Yu; Dirk De Ruysscher; Paul Menheere; Mika Hilvo; Hiska van der Weide; Bharat Rao; Philippe Lambin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-01       Impact factor: 7.038

3.  IL-10: master switch from tumor-promoting inflammation to antitumor immunity.

Authors:  Martin Oft
Journal:  Cancer Immunol Res       Date:  2014-03       Impact factor: 11.151

Review 4.  Systemic effects of local radiotherapy.

Authors:  Silvia C Formenti; Sandra Demaria
Journal:  Lancet Oncol       Date:  2009-07       Impact factor: 41.316

Review 5.  Hepatocellular carcinoma radiation therapy: review of evidence and future opportunities.

Authors:  Jonathan Klein; Laura A Dawson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-12-06       Impact factor: 7.038

6.  Analysis of host response to hepatectomy by simultaneous measurement of cytokines in the portal vein, caval vein and radial artery.

Authors:  Y Kanaoka; T Yagi; H Sadamori; H Matsukawa; H Matsuda; M Inagaki; T Ishikawa; S Saito; H Iwagaki; N Tanaka
Journal:  J Int Med Res       Date:  2002 Sep-Oct       Impact factor: 1.671

7.  Clinical significance of thrombospondin-1 expression in relation to vascular endothelial growth factor and interleukin-10 expression at the deepest invasive tumor site of advanced colorectal carcinoma.

Authors:  Eijiro Kaio; Shinji Tanaka; Shiro Oka; Toru Hiyama; Yasuhiko Kitadai; Ken Haruma; Kazuaki Chayama
Journal:  Int J Oncol       Date:  2003-10       Impact factor: 5.650

8.  High serum interleukin-6 level predicts future hepatocellular carcinoma development in patients with chronic hepatitis B.

Authors:  Vincent Wai-Sun Wong; Jun Yu; Alfred Sze-Lok Cheng; Grace Lai-Hung Wong; Hoi-Yun Chan; Eagle Siu-Hong Chu; Enders Kai-On Ng; Francis Ka-Leung Chan; Joseph Jao-Yao Sung; Henry Lik-Yuen Chan
Journal:  Int J Cancer       Date:  2009-06-15       Impact factor: 7.396

9.  Gender disparity in liver cancer due to sex differences in MyD88-dependent IL-6 production.

Authors:  Willscott E Naugler; Toshiharu Sakurai; Sunhwa Kim; Shin Maeda; Kyounghyun Kim; Ahmed M Elsharkawy; Michael Karin
Journal:  Science       Date:  2007-07-06       Impact factor: 47.728

10.  Clinical factors related to recurrence after hepatic arterial concurrent chemoradiotherapy for advanced but liver-confined hepatocellular carcinoma.

Authors:  Hyejung Cha; Hong In Yoon; Ik Jae Lee; Woong Sub Koom; Kwang-Hyub Han; Jinsil Seong
Journal:  J Radiat Res       Date:  2013-04-30       Impact factor: 2.724

View more
  6 in total

1.  Biomarkers for Locally Advanced Hepatocellular Carcinoma Patients Treated with Liver-Directed Combined Radiotherapy.

Authors:  Seung Yeun Chung; Kyoung-Jin Kim; Jinsil Seong
Journal:  Liver Cancer       Date:  2022-01-24       Impact factor: 12.430

2.  Radiation-Induced Metabolic Shifts in the Hepatic Parenchyma: Findings from 18F-FDG PET Imaging and Tissue NMR Metabolomics in a Mouse Model for Hepatocellular Carcinoma.

Authors:  Yi-Hsiu Chung; Cheng-Kun Tsai; Ching-Fang Yu; Wan-Ling Wang; Chung-Lin Yang; Ji-Hong Hong; Tzu-Chen Yen; Fang-Hsin Chen; Gigin Lin
Journal:  Molecules       Date:  2021-04-28       Impact factor: 4.411

3.  A prospective Phase II study for the efficacy of radiotherapy in combination with zoledronic acid in treating painful bone metastases from gastrointestinal cancers.

Authors:  Jinhyun Choi; Eun Jung Lee; Seung Hyun Yang; Yoo Ri Im; Jinsil Seong
Journal:  J Radiat Res       Date:  2019-03-01       Impact factor: 2.724

4.  Neoadjuvant Three-Dimensional Conformal Radiotherapy for Resectable Hepatocellular Carcinoma With Portal Vein Tumor Thrombus: A Randomized, Open-Label, Multicenter Controlled Study.

Authors:  Xubiao Wei; Yabo Jiang; Xiuping Zhang; Shuang Feng; Bin Zhou; Xiaofei Ye; Hui Xing; Ying Xu; Jie Shi; Weixing Guo; Dong Zhou; Hui Zhang; Huichuan Sun; Cheng Huang; Congde Lu; Yaxin Zheng; Yan Meng; Bin Huang; Wenming Cong; Wan Yee Lau; Shuqun Cheng
Journal:  J Clin Oncol       Date:  2019-07-08       Impact factor: 44.544

Review 5.  Leveraging Blood-Based Diagnostics to Predict Tumor Biology and Extend the Application and Personalization of Radiotherapy in Liver Cancers.

Authors:  Franziska Hauth; Hannah J Roberts; Theodore S Hong; Dan G Duda
Journal:  Int J Mol Sci       Date:  2022-02-09       Impact factor: 5.923

6.  Serum Stem Cell Growth Factor Beta for the Prediction of Therapy Response in Hepatocellular Carcinoma.

Authors:  Caecilia H C Sukowati; Riccardo Patti; Devis Pascut; Rusdina B Ladju; Paola Tarchi; Nunzia Zanotta; Manola Comar; Claudio Tiribelli; Lory S Crocè
Journal:  Biomed Res Int       Date:  2018-08-30       Impact factor: 3.411

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.