Literature DB >> 28360510

Efficacy of cytokine-induced killer cell infusion as an adjuvant immunotherapy for hepatocellular carcinoma: a systematic review and meta-analysis.

Ruili Yu1, Bo Yang2, Xiaohua Chi3, Lili Cai4, Cui Liu5, Lei Yang6, Xueyan Wang1, Peifeng He7, Xuechun Lu2.   

Abstract

This study was designed to evaluate the efficacy and safety of cytokine-induced killer (CIK) cell-based immunotherapy as an adjuvant therapy for hepatocellular carcinoma (HCC). Published studies were identified by searching Medline, Cochrane, EMBASE, and Google Scholar databases with the keywords: cytokine-induced killer cell, hepatocellular carcinoma, and immunotherapy. The outcomes of interest were overall survival, progression-free survival, and disease-free survival. Eight randomized controlled trials (RCTs), six prospective studies, and three retrospective studies were included. The overall analysis revealed that patients in the CIK cell-treatment group had a higher survival rate (pooled hazard ratio (HR) =0.594, 95% confidence interval [CI] =0.501-0.703, P<0.001). Patients treated with CIK cells in non-RCTs had a higher progression-free survival rate (pooled HR =0.613, 95% CI =0.510-0.738, P<0.001). However, CIK cell-treated patients in RCTs had progression-free survival rates similar to those of the control group (pooled HR =0.700, 95% CI =0.452-1.084, P=0.110). The comparison between pooled results of RCTs and non-RCTs regarding the progression-free survival rate did not reach statistical significance. Patients in the CIK cell-treatment group had lower rates of relapse in RCTs (pooled HR =0.635, 95% CI =0.514-0.784, P<0.001). Similar results were found when non-RCT and RCTs were pooled (pooled HR =0.623, 95% CI =0.516-0.752, P<0.001). Adjuvant CIK cell-based immunotherapy is a promising therapeutic approach that can improve overall survival and reduce recurrence in patients with HCC.

Entities:  

Keywords:  cytokine-induced killer cells; hepatocellular carcinoma; immunotherapy; relapse; survival

Mesh:

Substances:

Year:  2017        PMID: 28360510      PMCID: PMC5364004          DOI: 10.2147/DDDT.S124399

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Hepatocellular carcinoma (HCC) accounts for 95% of primary liver cancer1 and is the second most common cause of cancer-associated death worldwide.2 Liver resection and liver transplantation are the only curative treatments for HCC. The majority of patients, however, are not eligible for either resection or transplantation because of advanced tumor stage, underlying liver dysfunction, and lack of donor organs. Additionally, postoperative recurrence is frequent and can be as high as 25% per year, leading to death of ~80% of patients within 12 months of diagnosis.3,4 Other therapeutic options, such as percutaneous chemical, thermal, or radiofrequency ablation (RFA); transarterial chemoembolization (TACE); chemotherapy; and targeted therapy, also have limited efficacy.5 Therefore, finding effective methods to increase efficacy of treatment and reduce recurrence rate is of utmost importance in the therapy of HCC. Immunotherapy has been considered as a potential treatment option for HCC for a number of years.6,7 Several approaches to immunotherapy for HCC have shown promise in early clinical trials. These treatments can be divided into four main categories: immune checkpoint inhibitors, monoclonal antibodies, adoptive cell transfer, and oncolytic virus therapy.7 Adoptive cytokine-induced killer (CIK) cell transfer is one of the promising avenues of immunotherapy for HCC. CIK cells are non-major histocompatibility complex–restricted cells that exhibit strong cytolytic activities against susceptible tumors8 and express both T- and natural killer (NK) cell markers, CD3 and CD56, respectively.9 CIK cells can be generated from human peripheral blood mononuclear cells through induction with interferon-γ, anti-CD3 antibody, and interleukin-2.8 There are a number of advantages of CIK cells compared with other immune cells. CIK cells have a higher proliferation rate and can be obtained directly from cancer patients.10 Additionally, CIK cells have strong cytolytic activities and recognize a number of tumors, including those that are resistant to lymphokine-activated killer cells or NK cells.11 Furthermore, CIK cells were not shown to cause graft-versus-host disease.7,8 Therefore, CIK cells present a promising immunotherapy approach that could be used for HCC patients.12 And indeed, a number of recent clinical trials have demonstrated that adoptive infusion of CIK cells was associated with a substantial antitumor effect in HCC patients.13–19 CIK cell transfer was shown to decrease the rate of relapse after TACE and RFA therapy and increase disease-free survival and overall survival for HCC patients after liver resection or TACE.13–19 However, despite the increasing evidence pointing to CIK cells as a viable option for HCC treatment, more translational research and clinical trials are needed to provide convincing evidence regarding the efficacy of CIK cell immunotherapy. The aim of the present meta-analysis was to assess the efficacy and safety of CIK cell-based immunotherapy as an adjuvant therapy for HCC.

Materials and methods

Search strategy

We followed the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidance for systematic reviews of observational and diagnostic studies20 and searched the published literature using the Medline, Cochrane, EMBASE, and Google Scholar databases through November 6, 2015, with various combinations of the following keywords: cytokine-induced killer, CIK, hepatocellular carcinoma, HCC, liver neoplasm, and immunotherapy. The specific search terms were the following: (((hepatocellular carcinoma) OR HCC) OR liver neoplasm) AND ((cytokine-induced killer cell) OR CIK), with the following filters: Humans, Abstract available, Clinical study, Clinical trial, Meta-analysis, Review, and Systematic review. We manually searched references in relevant publications to identify additional eligible trials. The inclusion criteria were as follows: 1) randomized controlled trials (RCTs) and prospective or retrospective studies; 2) patients who were initially diagnosed with HCC and allocated to either an adoptive immunotherapy group or a control group; and 3) quantitative outcomes (overall survival, progression-free survival, and disease-free survival). The exclusion criteria were as follows: 1) format of cohort study, letter, comment, editorial, case report, proceeding, or personal communication; 2) patients without a diagnosis of HCC; 3) study designed for adoptive immunotherapy with other cell types (eg, NK cells, dendritic cells); and 4) no quantitative outcomes.

Study selection and data extraction

Data were extracted independently by two reviewers. A third reviewer was consulted in case of disagreements. We extracted data on study population (number, age, and gender of patients in each group), study design, length of follow-up time, Child–Pugh Class, cancer stage, viral hepatitis profile, and data for overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS).

Quality assessment

We assessed study quality using the Cochrane Risk of Bias Tool.21 The quality assessment was performed by two independent reviewers; the third reviewer was consulted if no consensus could be reached. The quality assessment of included studies is presented in Figure 1.
Figure 1

Quality assessment. (A) Risk of bias summary; (B) Risk of bias graph.

Statistical analysis

The outcomes of interest were OS, PFS, and DFS. Hazard ratios (HR) and 95% confidence intervals (95% CI) reported by individual studies were used as the outcome measures. If not provided in individual studies, the HR and 95% CI were calculated from summary statistics of time-to-event analyses with the methods proposed by Tierney et al.22 Heterogeneity among the studies was assessed by the Cochran Q and the I2 statistic. The Q statistic was defined as the weighted sum of the squared deviations of the estimates of all studies; P<0.10 was considered statistically significant for heterogeneity. For the I2 statistic, which indicated the percentage of the observed between-study variability due to heterogeneity, the ranges used were the following: no heterogeneity (I2=0%–25%), moderate heterogeneity (I2=25%–50%), large heterogeneity (I2=50%–75%), and extreme heterogeneity (I2=75%–100%). The random-effect model (DerSimonian–Laird method) was used to generate pooled estimates across studies for each outcome. A two-sided P-value <0.05 was considered statistically significant. All analyses that were performed were stratified by study design (ie, randomized and nonrandomized trials). To assess whether a single study impacts the pooled results, a sensitivity analysis was performed using the leave-one-out approach. All statistical analyses were performed with the statistical software Comprehensive Meta-Analysis, version 2.0 (Biostat, Englewood, NJ, USA).

Results

Basic characteristics of included studies

After considering the inclusion and exclusion criteria, eight randomized trials,13,14,18,23–27 six prospective studies,15,28–33 and three retrospective studies16,17,32 were eligible for this review (Figure 2). The eligible studies analyzed a total of 1,979 patients with HCC, 1,029 of whom underwent adjuvant immunotherapy with CIK cells. The number of patients ranged from 38 to 410 per study. The patients’ age ranged from 43 to 56 years. The proportion of male patients ranged from 52.4% to 97.8%. Information regarding patient demographics, liver function, stage of HCC, hepatitis infection, and treatment regimens is summarized in Table 1. The treatment used by the majority of studies was TACE, either alone (six studies) or in combination with RFA (five studies), percutaneous ethanol injection (one study), or surgery (one study). Surgery was the second most common treatment, used alone (two studies) or with RFA and percutaneous ethanol injection (one study). For all studies, patients who received CIK cell immunotherapy also received the same treatment as the control group.
Figure 2

PRISMA flow diagram.

Abbreviations: CIK, cytokine-induced killer; PRISMA, Preferred Reporting Items for Systematic review and Meta-Analysis.

Table 1

Summary of basic characteristics of studies selected for meta-analysis

Study (year published)Study designTreatmentNumber of patientsMean age, yearsMale genderFollow-up time, monthsChild–Pugh class, number (%)Cancer stage, no (%)Type of viral hepatitis, number (%)
Lee et al,18 2015RCTSurgery/RFA/PEI + CIK11455.483.3%NRNRAJCCI: 98 (86.0%)II: 16 (14.0%)HBV only: 96 (84.2%)HCV only: 9 (7.9%)HBV + HCV: 2 (1.8%)Others: 7 (6.1%)
Surgery/RFA/PEI11256.481.3%AJCCI: 94 (83.9%)II: 18 (16.1%)HBV only: 90 (80.4%)HCV only: 10 (8.9%)HBV + HCV: 2 (1.8%)Others: 10 (8.9%)
Guo et al,33 2014RetrospectiveTACE + CIK30≤60: 43.3%>60: 56.7%90.0%Range: 2–43A: 24 (80%)B: 6 (20%)BCLCA: 5 (16.7%)B: 15 (50%)C: 10 (33.3%)HBsAg+: 28 (93.3%)
TACE only38≤60: 34.2%>60: 65.8%89.5%A: 31 (81.6%)B: 7 (18.4%)BCLCA: 5 (13.1%)B: 21 (55.3%)C: 12 (31.6%)HBsAg+: 36 (94.7%)
Yu et al23 2014RCTStandard treatment + CIK66<60: 56.1%≥60: 43.9%87.9%Median: 18.6A: 62B: 4BCLCA: 8B: 31C: 27Hepatitis B: 35
Standard treatment66<60: 65.2%≥60: 34.8%87.9%A: 62B: 4BCLCA: 8B: 31C: 27Hepatitis B: 37
Pan et al,17 2013RetrospectiveSurgery alone20650.0386.9%Median: 60NRPathologyI: 17II: 92III: 97HBsAg+: 176HBeAg+: 182
Surgery + CIK20449.1687.3%PathologyI: 18II: 102III: 84HBsAg+: 47HBeAg+: 43
Huang et al,16 2013RetrospectiveTACE + RFA + CIK8550a90.6%Median (range): 78 (5–173)A: 76B: 9BCLCA: 36B: 29C: 20HBV: 66
TACE + RFA8953a88.8%A: 74B: 15BCLCA: 37B: 34C: 18HBV: 69
Tong et al,28 2013ProspectiveTACE + CIKTACE only201856NRNRNRNRNR
Deng et al,24 2013RCTTACE + RFA21≥50: 81.0%<50: 19.0%52.4%NRA: 19B: 2NRHBsAg+: 20
TACE + RFA + CIK20≥50: 65.0%<50: 35.0%90.0%A: 18B: 2HBsAg+: 17
He et al,25 2012RCTTACE only5852.186.2%Mean: 40A: 49B: 9NRNR
TACE + CIK6056.393.3%A: 54B: 6
Wang et al,30 2012ProspectiveTACE + RFA + CIK385389.5%Mean: 44A: 27B: 11NRHBV: 31
TACE + RFA385586.8%A: 25B: 13HBV: 32
Hao et al,15 2010ProspectiveTACE + CIK7253a90.3%NRA: 65B: 7BCLCA: 7B: 6C: 59HBsAg+: 68
TACE only7451a86.5%A: 66 B: 8BCLCA: 5B: 4C: 65HBsAg+: 68
Dong et al,14 2009RCTSurgery + CIK-I41≥50: 65.9%<50: 34.1%75.6%NRA: 34B: 7NRHBsAg+: 32
Surgery + CIK-II43≥50: 60.5%<50: 39.5%74.4%A: 34B: 9HBsAg+: 33
Surgery only43≥50: 65.1%<50: 34.9%79.1%A: 34B: 9HBsAg+: 31
Yu et al,32 2009ProspectiveSurgery + TACE + CIK254988.0%Range: 3–34A: 24B: 1ClinicalI: 0II: 8III: 15IV: 2NR
Surgery + supportive therapy255292.0%A: 20B: 5ClinicalI: 1II: 9III: 14IV: 1
Weng et al,13 2008RCTTACE + RFA + CIK4543a68.9%Max: 18A: 36 (80%)B: 9 (20%)NRNR
TACE + RFA4045a72.5%A: 33 (82.5%)B: 7 (17.5%)
Huang et al,26 2007RCTTACE + RFA + CIKTACE + RFA553046.247.167.3%70.0%NRNRNRNR
Shi et al,31 2007ProspectiveTACE + CIK38NRNRNRNROkudaI: 8II: 13III: 7NR
TACE134OkudaI: 2II: 106III: 26
Hao et al,29 2006ProspectiveTACE + CIK2150.9081.0%NRA: 15B: 4C: 2ClinicalI: 2II: 16III: 3HBV infection: 21
TACE only4649.8397.8%A: 34B: 9C: 3ClinicalI: 4II: 39III: 3HBV infection: 44
Zhang et al,272006RCTTACE onlyTACE + CIKTACE + PEITACE + PEI + CIK3016623645.575.0%NRNRNRNR

Note:

Data for age are presented as the median.

Abbreviations: AJCC, American Joint Committee on Cancer; BCLC, Barcelona Clinic Liver Cancer; CIK, cytokine-induced killer cells; HBsAg, surface antigen of the hepatitis B virus; HBV, hepatitis B virus; HCV, hepatitis C virus; NR, not recorded; PEI, percutaneous ethanol injection; RFA, radiofrequency ablation; TACE, transcatheter arterial chemoembolization.

Outcome measures

A summary of the data for OS, PFS, and DFS is shown in Table 2. A total of 7 RCTs14,18,23–27 and 9 non-RCTs14–17,28–33 reported the HR for overall survival. There was significant heterogeneity among the studies (RCTs: I 2=50.4%, P=0.060; non-RCTs: I 2=43.3%, P=0.079; overall: I 2=47.2%, P=0.019). The overall analysis revealed that patients in the CIK cell-treatment group had a higher survival rate (pooled HR =0.594, 95% CI =0.501–0.703, P<0.001). The results were similar for both RCTs (pooled HR =0.644, 95% CI =0.506–0.820, P<0.001) and non-RCTs (pooled HR =0.548, 95% CI =0.432–0.695, P<0.001) (Figure 3A).
Table 2

Summary of outcomes of included studies

StudyNumber of patientsMean age (yr)Inclusion criteriaTreatmentOS (HR)PFS (HR)DFS (HR)
Lee et al,18 201511455.41. Patients with HCC clinical stage I or II according to AJCC2. Child–Pugh class ASurgery/RFA/PEI + CIK0.21 (0.06–0.75)NR(Adjusted) 0.66(0.44–0.98)
11256.43. ECOG score 0 or 14. Age between 20 and 80 yearsSurgery/RFA/PEI
Guo et al,33 201430≤60: 43.3%>60: 56.7%1. Age >18 years2. Child–Pugh A or B3. KPS ≥704. Without ascites or distant metastatic diseaseTACE + CIK0.75 (0.43–1.31)0.46 (0.25–0.86)NR
38≤60: 34.2%>60: 65.8%5. Life expectancy >6 months6. Without severe infection or pregnancyTACE only
Yu et al,23 201466<60: 56.1%≥60: 43.9%1. Age between 18 and 80 years2. Child–Pugh score A or B3. BCLC stage A, B or C4. Life expectancy >3 monthsStandard treatment + CIK0.62 (0.37–1.06)0.7 (0.45–1.08)NR
66<60: 65.2%≥60: 34.8%5. Without severe cardiovascular disease or pregnancyStandard treatment
Pan et al,17 201320650.031. HCC without previous treatment2. Child–Pugh class A or no CirrhosisSurgery alone(adjusted) 0.495(0.699–0.35)NRNR
20449.163. Solitary HCC4. Adequate liver functional reserve to survive the operationSurgery + CIK
Huang et al,16 2013858950a53a1. Diagnosis meeting the AASLD and the EASL criteria for HCC2. ECOG score 0 or 13. Child–Pugh class A or B, good liver function4. No previous surgery, chemotherapy or radiotherapy for HCC5. No portal vein thrombosisTACE + RFA + CIKTACE + RFA0.56 (0.40–0.77)0.67 (0.53–0.85)NR
Tong et al,28 2013201856Inoperable HCC, diagnosed according to AASLD 2010TACE + CIKTACE only0.4 (0.19–0.84)0.55 (0.33–0.93)NR
Deng et al,24 201321≥50: 81.0%<50: 19.0%1. Diagnosed according to AASLD2. Normal liver function, and AFP >25 ng/mLTACE + RFA0.76 (0.51–1.11)NR0.47 (0.25–0.88)
20≥50: 65.0%<50: 35.0%3. Solitary HCC, tumor ≤3; no tumor thrombosis or distant metastasis4. No residual tumor after 8-weeks treatment with TACE and RFA; AFP <37.5 ng/mL for >2 weeksTACE + RFA + CIK
He et al,25 2012586052.156.31. Age >18 years2. Diagnosis according to Chinese anticancer associationprofessional committee of liver cancerTACE only TACE + CIK0.52 (0.38–0.70)NRNR
Wang et al,30 201238531. Diagnosed primary HCC according to AASLD2. Tumor diameter >3 cm; tumor diameter ≤3 cm combinedportal vein hypertension; or hyperbilirubinemiaTACE + RFA + CIK(adjusted) 0.830(0.551–1.250)NR0.579 (0.381–0.880)
38553. Multiple tumors4. ECOG score >15. Child–Pugh class A or BTACE + RFA
Hao et al,15 2010727453a51a1. Age >18 years2. Patients had unresectable HCC or refused resection3. Total bilirubin <3× upper limit or normal4. Child–Pugh class A or B5. No extrahepatic metastasis6. Newly diagnosed or postoperative recurrenceTACE + CIK TACE only0.448 (0.244–0.822)0.564 (0.361–0.883)NR
Dong et al,14 200941≥50: 65.9%<50: 34.1%1. Solitary tumor2. No postoperative transfusionSurgery + CIK-I0.98 (0.67–1.44)NR0.67 (0.50–0.89)
43≥50: 60.5%<50: 39.5%3. HCC confirmed by pathology4. Resection margin >1 cmSurgery + CIK-II
43≥50: 65.1%<50: 34.9%5. No tumor fracture or hemorrhage6. No tumor distant metastasesSurgery only
Yu et al,32 20092549Primary HCC postsurgical resection, with pathological diagnosis of HCCSurgery + TACE + CIK0.92 (0.34–2.51)NRNR
2552Surgery + supportive therapy
Weng et al,13 2008454043a45a1. Histologically and clinically confirmed nodular or massive HCC2. Tumor diameters ranged from 2 to 13 cm3. No tumor embolus in portal vein or remote metastasis4. Child–Pugh class A or B KPS >90TACE + RFA + CIK TACE + RFANRNR0.59 (0.28–1.27)
Huang et al,26 2007553046.247.11. Histologically and clinically confirmed nodular or massive HCC2. Patients had TACE + RFA for 2–3 times, without residualtumor or distant metastasisTACE + RFA + CIK TACE + RFA0.36 (0.15–0.89)NRNR
Shi et al,31 200738134NRPrimary HCCTACE + CIK TACE0.21 (0.10–0.44)NRNR
Hao et al,29 2006214650.9049.83Patients diagnosed HCC according to Chinese anticancer association professional committee of liver cancerTACE + CIK TACE only0.6 (0.3–1.2)NRNR
Zhang et al,27 200630163645.5Primary HCCTACE onlyTACE + CIKTACE + PEI + CIK0.7 (0.53–0.93)NRNR

Note:

Median age was presented.

Abbreviations: AASLD, American Association for the study of liver diseases; AFP, α-fetoprotein; AJCC, American Joint Committee on Cancer; BCLC, Barcelona Clinic Liver Cancer; CIK, cytokine-induced killer; DFS, disease-free survival; EASL, European Association for the Study of the Liver; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; HCC, hepatocellular carcinoma; KPS, Karnofsky Performance Score; NR, not recorded; OS, overall survival; PEI, percutaneous ethanol injection; PFS, progression-free survival; RFA, radiofrequency ablation; TACE, transcatheter arterial chemoembolization.

Figure 3

Meta-analysis for treatment effect on (A) OS, (B) PFS, and (C) DFS/RFS.

Abbreviations: CI, confidence interval; CIK, cytokine-induced killer; DFS, disease-free survival; HR, hazard ratio; OS, overall survival; RFS, recurrence-free survival; RCT, randomized controlled trial.

One RCT23 and 4 non-RCTs15,16,28,33 analyzed the HR for PFS and were included in the meta-analysis. There was no evidence of heterogeneity across individual non-RCT studies (I 2=0%, P=0.642). Analysis of RCTs revealed that there was no significant difference between the PFS rate in patients with or without CIK treatment (HR =0.700, 95% CI =0.452–1.084, P=0.110). The overall analysis of the non-RCTs indicated a higher rate of PFS in patients treated with CIK cells (pooled HR =0.613, 95% CI =0.510–0.738, P<0.001). The comparison between the pooled results from RCTs and that of non-RCTs (Figure 3B) regarding the PFS rate did not reach statistical significance. One non-RCT30 and 4 RCTs13,14,18,24 reported the HR for disease-free survival. There was no evidence of heterogeneity across the four RCTs that were included in the meta-analysis of the disease-free survival rate (I 2=0%, P=0.781). The overall analysis of RCTs revealed that patients treated with CIK cells had lower rates of relapse or recurrence (pooled HR =0.635, 95% CI =0.514–0.784, P<0.001). Similar results were also found when non-RCT and RCTs were pooled (pooled HR =0.623, 95% CI =0.516–0.752, P<0.001) (Figure 3C).

Sensitivity analysis and publication bias

Sensitivity analyses were performed using the leave-one-out approach (Figure 4). For all outcomes, the direction and magnitude of the combined estimates did not vary markedly with the removal of one of the studies, indicating that the data were not overly influenced by each study. Publication bias was not assessed due to small sample size.34
Figure 4

Sensitivity-analysis for treatment effect on (A) OS, (B) PFS, and (C) DFS/RFS.

Abbreviations: CI, confidence interval; CIK, cytokine-induced killer; DFS, disease-free survival; HR, hazard ratio; OS, overall survival; RFS, recurrence-free survival; RCT, randomized controlled trial.

We assessed the study quality of the prospective studies included in this meta-analysis using the Cochrane Risk of Bias Tool (Figure 1). There were eight studies with potential selection bias for random sequence generation, and two studies had potential for allocation concealment bias. None of the included studies was double-blinded, and only two studies were blinded for outcome assessment (Figure 1A). There were 11 studies with low risk in attrition bias and 15 studies with low risk of reporting bias. Overall, the quality of included studies was limited due to the study design and difficulty with blinding (Figure 1B). The described issues were partially related to the procedure used to administer the CIK cell therapy as well as the ethics behind patient allocation to treatment groups.

Discussion

The effectiveness of the current therapies for advanced HCC is limited, and the incidence of treatment-related adverse reactions is high, particularly in elderly patients with underlying liver conditions.4 Therefore, new treatment modalities, capable of prolonging survival in patients with advanced HCC while minimizing the risk of adverse reactions, are urgently needed. Immunotherapy has a potential to offer systemic, nontoxic, and durable antitumor effects, and therefore is highly attractive as a treatment option for HCC. HCC tumor cells can be targeted by various immune effector mechanisms,7 including by using CIK cells as effector cells. CIK cells belong to the T-cell population, display a T-cell-and NK cell-like phenotype, and are characterized by a non-major histocompatibility complex–restricted tumor killing activity.7 Recently, a number of clinical trials have been undertaken to evaluate CIK cell-based immunotherapy in the treatment of HCC. To summarize and evaluate the most recent findings regarding the efficacy and safety of CIK cell immunotherapy as an adjuvant treatment for HCC, we performed the current meta-analysis. We found that patients who underwent CIK cell-based immunotherapy had a higher rate of overall survival compared to patients who did not receive CIK cell-based therapy. The observed results were similar in both RCTs and non-RCTs. Additionally, patients who underwent CIK cell-based immunotherapy had lower rates of tumor recurrence. While we did not observe a statistically significant difference between the patients in the intervention and control groups regarding the PFS rate, the observed trend was in favor of CIK cell-based immunotherapy. The studies included in this meta-analysis did not report adverse and unexpected side effects of the treatment. Several studies16,18,26,33 reported constitutional symptoms, such as fever and chills, in some patients who received therapy with CIK cells. Yu et al,23 reported nausea in 4 patients in the CIK cell group and in 5 patients in the non-CIK cell group. One patient was allergic to CIK cells in the 2014 study by Guo et al.33 Our meta-analysis is the most current, with rather broad inclusion parameters. We included RCTs and non-RCTs, as well as studies published in English and Chinese. Overall, our results are in agreement with previous studies. Ma et al35 analyzed 13 articles reporting phase II and III clinical trials of CIK cell-based therapy in the treatment of HCC. This meta-analysis revealed a significant advantage of CIK cell-combined therapy in prolonging the overall survival of patients. Pooled analysis showed that treatment with CIK cells was associated with significantly improved 1-year survival (odds ratio [OR] =0.25, 95% CI =0.12–0.52, P<0.001) and 2-year survival (OR =0.17, 95% CI =0.07–0.43, P<0.001), but not half-year survival (77% in the CIK cell group versus 67% in the non-CIK cell group; OR =0.43, 95% CI =0.05–3.94, P=0.45). CIK cell-based treatment was also associated with a significantly prolonged half-year and 1-year PFS (OR =0.29, 95% CI =0.16–0.52, P<0.001; OR =0.35, 95% CI =0.22–0.53, P<0.001, respectively).35 We did not observe a significant improvement of PFS in the CIK cell treatment group in our meta-analysis, possibly due to differences in the study designs of the included studies, eg, number of RCTs versus non-RCTs. Recently, another meta-analysis assessed the efficacy of CIK cell therapy after TACE or TACE plus RFA and showed that CIK cell therapy combined with TACE plus RFA treatment was associated with a higher 1-year recurrence-free survival rate and 1- and 2-year OS rates.36 While subgroup analysis based on the prior treatment was beyond the scope of our review, it should be further investigated in future studies. Furthermore, subgroup analysis based on other parameters, such as stage of cancer and exact therapeutic regimen, would be beneficial in providing a better understanding of the effectiveness of immunotherapy and determining optimal therapeutic approaches for treatment of HCC. The conclusions of this meta-analysis are subject to several limitations. Despite inclusion of non-English publications, the number of analyzed studies is limited, potentially leading to random errors. Another major drawback of the study is the moderate to large heterogeneity among the studies included for analysis of overall survival.

Conclusion

Our results highlight that adjuvant CIK cell-based immunotherapy is a promising therapeutic modality that can improve OS and reduce recurrence in patients with HCC. Future studies with subgroup analyses including etiologic factors, liver function, previous treatments, and disease stage should help to identify groups of HCC patients who would benefit the most from CIK cell-based immunotherapy.
  26 in total

1.  A randomized phase II study of autologous cytokine-induced killer cells in treatment of hepatocellular carcinoma.

Authors:  Xiaozhou Yu; Hua Zhao; Liang Liu; Shui Cao; Baozhu Ren; Naining Zhang; Xiumei An; Jinpu Yu; Hui Li; Xiubao Ren
Journal:  J Clin Immunol       Date:  2013-12-15       Impact factor: 8.317

2.  Adjuvant immunotherapy with autologous cytokine-induced killer cells for hepatocellular carcinoma.

Authors:  Joon Hyeok Lee; Jeong-Hoon Lee; Young-Suk Lim; Jong Eun Yeon; Tae-Jin Song; Su Jong Yu; Geum-Youn Gwak; Kang Mo Kim; Yoon Jun Kim; Jae Won Lee; Jung-Hwan Yoon
Journal:  Gastroenterology       Date:  2015-03-04       Impact factor: 22.682

Review 3.  Cytokine-induced killer (CIK) cells as feasible and effective adoptive immunotherapy for the treatment of solid tumors.

Authors:  Giulia Mesiano; Maja Todorovic; Loretta Gammaitoni; Valeria Leuci; Lidia Giraudo Diego; Fabrizio Carnevale-Schianca; Franca Fagioli; Wanda Piacibello; Massimo Aglietta; Dario Sangiolo
Journal:  Expert Opin Biol Ther       Date:  2012-04-14       Impact factor: 4.388

Review 4.  Primary liver tumors.

Authors:  W Y Lau
Journal:  Semin Surg Oncol       Date:  2000 Sep-Oct

5.  Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials.

Authors:  Jonathan A C Sterne; Alex J Sutton; John P A Ioannidis; Norma Terrin; David R Jones; Joseph Lau; James Carpenter; Gerta Rücker; Roger M Harbord; Christopher H Schmid; Jennifer Tetzlaff; Jonathan J Deeks; Jaime Peters; Petra Macaskill; Guido Schwarzer; Sue Duval; Douglas G Altman; David Moher; Julian P T Higgins
Journal:  BMJ       Date:  2011-07-22

Review 6.  Cytokine-induced killer cells: NK-like T cells with cytotolytic specificity against leukemia.

Authors:  Y C Linn; Kam M Hui
Journal:  Leuk Lymphoma       Date:  2003-09

Review 7.  Cytokine Induced Killer (CIK) cells for the treatment of haematological neoplasms.

Authors:  M Introna; J Golay; A Rambaldi
Journal:  Immunol Lett       Date:  2013-09-29       Impact factor: 3.685

8.  Efficacy of transcatheter arterial chemoembolization combined with cytokine-induced killer cell therapy on hepatocellular carcinoma: a comparative study.

Authors:  Ming-Zhi Hao; Hai-Lan Lin; Qiang Chen; Yun-Bin Ye; Qi-Zhong Chen; Ming-Shui Chen
Journal:  Chin J Cancer       Date:  2010-02

9.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

10.  Practical methods for incorporating summary time-to-event data into meta-analysis.

Authors:  Jayne F Tierney; Lesley A Stewart; Davina Ghersi; Sarah Burdett; Matthew R Sydes
Journal:  Trials       Date:  2007-06-07       Impact factor: 2.279

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  6 in total

Review 1.  2019 Update of Indian National Association for Study of the Liver Consensus on Prevention, Diagnosis, and Management of Hepatocellular Carcinoma in India: The Puri II Recommendations.

Authors:  Ashish Kumar; Subrat K Acharya; Shivaram P Singh; Anil Arora; Radha K Dhiman; Rakesh Aggarwal; Anil C Anand; Prashant Bhangui; Yogesh K Chawla; Siddhartha Datta Gupta; Vinod K Dixit; Ajay Duseja; Naveen Kalra; Premashish Kar; Suyash S Kulkarni; Rakesh Kumar; Manoj Kumar; Ram Madhavan; V G Mohan Prasad; Amar Mukund; Aabha Nagral; Dipanjan Panda; Shashi B Paul; Padaki N Rao; Mohamed Rela; Manoj K Sahu; Vivek A Saraswat; Samir R Shah; Praveen Sharma; Sunil Taneja; Manav Wadhawan
Journal:  J Clin Exp Hepatol       Date:  2019-09-23

2.  Co-expression of TLR-9 and MMP-13 is associated with the degree of tumour differentiation in prostate cancer.

Authors:  Elham Kalantari; Maryam Abolhasani; Raheleh Roudi; Mohammad M Farajollahi; Seif Farhad; Zahra Madjd; Shaghayegh Askarian-Amiri; Monireh Mohsenzadegan
Journal:  Int J Exp Pathol       Date:  2019-05-14       Impact factor: 1.925

3.  Adjuvant therapy using ex vivo-expanded allogenic natural killer cells in hepatectomy patients with hepatitis B virus related solitary hepatocellular carcinoma: MG4101 study.

Authors:  Jong Man Kim; Sung Yoo Cho; Jinsoo Rhu; Miyoung Jung; Jung Hyun Her; Okjae Lim; Gyu-Seong Choi; Eui-Cheol Shin; Yu-Kyeong Hwang; Jae-Won Joh
Journal:  Ann Hepatobiliary Pancreat Surg       Date:  2021-05-31

Review 4.  Emergence of immunotherapy as a novel way to treat hepatocellular carcinoma.

Authors:  Naofumi Mukaida; Yasunari Nakamoto
Journal:  World J Gastroenterol       Date:  2018-05-07       Impact factor: 5.742

5.  MRI-guided interventional natural killer cell delivery for liver tumor treatment.

Authors:  Zhanliang Su; Xifu Wang; Linfeng Zheng; Tianchu Lyu; Matteo Figini; Bin Wang; Daniel Procissi; Junjie Shangguan; Chong Sun; Liang Pan; Lei Qin; Bin Zhang; Yury Velichko; Riad Salem; Vahid Yaghmai; Andrew C Larson; Zhuoli Zhang
Journal:  Cancer Med       Date:  2018-03-30       Impact factor: 4.452

6.  Efficiency of Cytokine-Induced Killer Cells in Combination with Chemotherapy for Triple-Negative Breast Cancer.

Authors:  Man Li; Yang Wang; Feng Wei; Xiumei An; Naining Zhang; Shui Cao; Baozhu Ren; Xinwei Zhang; Xiubao Ren
Journal:  J Breast Cancer       Date:  2018-06-20       Impact factor: 3.588

  6 in total

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