Literature DB >> 30425519

Efficacy and safety analysis on dendritic cell-based vaccine-treated high-grade glioma patients: a systematic review and meta-analysis.

Changling Li1, Ting Liu2, Bo Zhou3, Yubin Zhou4, Huiying Yu1, Yun Sun2.   

Abstract

BACKGROUND: Dendritic cell (DC)-based vaccine is a promising therapy for high-grade gliomas (HGGs); however, its actual effectiveness still remains controversial. This meta-analysis aims to extensively evaluate the efficacy and safety of DC vaccine for HGG patients.
METHODS: We systematically searched PubMed, the Cochrane Library, EMBASE, Medline, and Web of Science for relevant parallel randomized controlled trials (RCTs) and properly controlled non-randomized studies (NRS) published in English. Two investigators reviewed all the texts and extracted information regarding overall survival (OS), progression-free survival (PFS), and adverse events (AEs) from eligible studies. Sensitivity analyses and subgroup analyses were also conducted.
RESULTS: Of 353 suitable studies, 13 studies (three RCTs and ten NRS) involving 944 patients were finally included. Compared to the control therapy group (CT group), the DC group showed better OS and PFS without serious AEs. Subgroup analysis showed that trials designed as NRS obtained better results in the DC group in this study; however, no specific subgroup regarding dosages, cycles or injection routes was found to be superior in the DC group compared to the CT group.
CONCLUSION: DC vaccine can significantly improve OS and PFS, with acceptable toxicity, of HGG patients. Nevertheless, further studies are needed to verify this conclusion.

Entities:  

Keywords:  dendritic cell; glioblastoma multiforme; high-grade gliomas; overall survival; progression-free survival; vaccine

Year:  2018        PMID: 30425519      PMCID: PMC6204866          DOI: 10.2147/OTT.S177768

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

High-grade gliomas (HGGs) generally consist of anaplastic astrocytomas (WHO grade III) and glioblastoma multiforme (GBM; WHO grade IV), anaplastic oligo-dendrogliomas (WHO grade III), and the rare anaplastic oligoastrocytomas (WHO grade III), among which, GBM is the most frequent and common type of HGG in primary malignant brain tumors, with an incidence of 3–4 per 100,000, accounting for 15.6% of all primary brain tumors and 45.2% of primary malignant brain tumors.1 The current standard treatment for HGG patients includes maximal surgical resection, followed by concurrent high-dose radiation and temozolomide (TMZ) chemotherapy.2 However, prognosis of GBM patients remains dismal, with a median survival of 15 months3 and only 25% surviving at 2 years after initial diagnosis.4 Therefore, new treatment modalities are urgently needed. Autologous dendritic cell (DC)-based immunotherapy is one of the promising, novel approaches for HGG treatment.5 DCs are a specialized family of professional antigen presenting cells with the broadest range of antigen presentation and unique ability to initiate and maintain primary immune responses when pulsed with tumor associated antigens (TAAs).6,7 As in vaccine preparation, DCs are extracted from the patient, cultured ex vivo, loaded with TAAs, and subsequently reintroduced into the patient to facilitate antigen-specific T-cell activation.8 During the past few decades, DC vaccines have been clinically investigated in a vast range of malignancies, including prostate cancer, renal cell carcinoma, melanoma, and even glioma. Regarding HGGs (malignant glioma), multiple Phase I/II trials have been reported; however, the objective response rate was only 15.6%.9 Conversely, two meta-analysis published in 2014 indicated improved overall survival (OS) and progression free-survival (PFS) were obtained through DC vaccination in HGG patients.10,11 With more clinical trials completed in the past few years, we are trying to synthesize the data for the efficacy and safety of DC vaccine application in HGG patients with freshly updated retrievals from both randomized clinical trials (RCTs) and properly controlled non-randomized controlled studies (NRS).

Methods

Since this study is a meta-analysis of previously published studies, ethical approval and patient consent were not required. This study was conducted and reported in adherence to Preferred Reporting Items for Systematic Reviews and Meta-analysis.12 The PRISMA checklist was reported in Figure S1.

Literature search strategy

A systematic search of several online databases (PubMed, EMBASE, ISI Web of Science and Cochrane Library) was performed for original articles published in English language up to June 15, 2018 relevant to DC vaccine for HGGs. Clinical trials registered on the website ClinicalTrials.gov were also explored. The following search terms were applied to identify relevant studies: “High-grade gliomas” or HGGs or glioblastoma or GBM or “anaplastic astrocytomas” OR “anaplastic oligodendrogliomas” OR “anaplastic oligoas-trocytomas”, and “dendritic cell” or DC. Results from these databases were imported into the software of Endnote X7.7 for duplication checking to obtain a list of unique articles for subsequent screening. Gray literature was not included in the present analysis. For Medline, we used the following search strategies, Search ((((((((((glioma OR “Anaplastic Astrocytoma” OR “Glioblastoma Multiforme” OR “High-grade glioma” OR astrocytomas OR oligodendrogliomas)) AND dendritic)) NOT ((mice OR animal OR rats OR murine)))) AND English[Language])) NOT ((“in vitro” [Title/Abstract]) OR “cell line” [Title/Abstract]))) NOT ((review [Publication Type]) OR review).

Selection criteria

The following criteria were applied when considering studies for this meta-analysis.

Types of studies

The meta-analysis considered studies evaluating the effectiveness or efficacy of DC vaccine for patients with HGGs. The studies must have compared the intervention with no intervention or with a control intervention. RCTs or properly controlled NRS were eligible for inclusion.

Types of participants

Patients with primary or recurrent HGGs were included.

Types of interventions

Patients in the treatment group must have received DC vaccination. Patients in the control group must have been treated with conventional therapy without DC vaccine.

Types of outcome measures

Results must have included quantitative data for outcomes measured. The primary outcomes were OS and PFS. The secondary outcome was treatment-related adverse events (AEs), which included treatment-related withdrawals and discontinuations. Conference abstracts and other forms of summary publication were excluded. In the case of multiple studies apparently based on the same population, only the study with the largest number of participants was included.

Data collection

References were managed using EndNote X7.7 software (Thomson Reuters, New York, NY, USA). Two authors (CLL, TL) independently screened studies identified in literature searches. Discrepancies were arbitrated by two other authors (BZ, YZ). Two authors (CLL, TL) independently extracted data from included studies using a predefined template. BZ and YZ checked the extracted data against the original studies. Survival data and AEs were taken directly from tables or the text whenever possible; if such data were presented only in Kaplan–Meier curves, they were read by the Engauge Digitizer version 10.4 (free software downloaded from http://sourceforge.net).

Assessment of methodological quality of included studies

For the RCTs and NRS, Cochrane bias assessment tool and Newcastle-Ottawa scale13 (NOS) were applied, respectively. Two authors (CLL and TL) independently assessed methodological quality of included studies, Discrepancies were arbitrated by HYY and YS.

Data synthesis and analysis

Statistical analysis was mainly performed using STATA SE (StataCorp LP, College Station, TX, USA). Pooled RRs using the Mantel–Haenszel method were calculated for dichotomous data. The homogeneity of the effect size across studies was tested using Q statistics, I2 statistic was also used to assess statistical heterogeneity in the meta-analysis (high heterogeneity >50%; low heterogeneity, <50%). Data were analyzed using fixed-effects models when P>0.10 for the Q statistic; otherwise random-effects models were used.14 For the meta-analysis of each outcome, we conducted preplanned sensitivity analyses restricted to trials that included the efficacy of DC. Publication bias was assessed using Begg’s funnel plots test15 and Egger’s regression test,16 when studies included were more than ten.17 P-value <0.05 was considered to be significant, except where otherwise specified.

Results

Study selection

A total of 353 potentially eligible studies were identified and reviewed. According to inclusion criteria, 241 studies remained after removing the duplicates. Screening of the titles and abstracts led to a final set of 42 studies that were read in full. Of these, 25 studies were excluded because they were not appropriately controlled, and four other studies were excluded due to absence of data for analysis. Eventually, three RCTs18–20 and ten NRS, including five non-randomized controlled trials,21–25 four historically controlled studies,26–29 and one cohort study,30 involving 307 DC-vaccinated (DC group) and 637 non-DC-vaccinated (CT group: control therapy group) patients, were included in the meta-analysis. The detailed selection process was described in Figure 1, according to the PRISMA Statement for reviews and meta-analysis.31
Figure 1

Study selection process.

Studies’ characteristics

The characteristics of the 13 included studies were described in Table 1, and the outcome data for OS and PFS were presented in Table 2.
Table 1

Characteristics of the studies included

StudyNationStudy design disease stage (WHO)Clinical trial phasePts no (DC/total)Median/mean age (DC/CT)Inclusion KPS scoreControl armDC armDC characteristics
ActivationDosage (106)CyclesRoute

Yu et al,25 2004USANRSaIII–IVI14/4046/53≥60S+RS+R+DCATL10–1003ID
Wheeler et al,23 2004USANRSaIII–IVI/II13/2654/56>60CC+DCHEP/ATL10–403N/A
Yamanaka et al,24 2005JapanNRSaIII–IVI/II18/4550/56N/AS+R+CS+R+C+DCATL (KLH/P. pyogenes)1–322–22ID/IT
Liau et al,22 2005USANRSaIVI12/11142/N/A≥60S+R/(+C)S+R/(+C)+ DCAMP1–1012ID
Leplina et al,21 2007RUNRSaIII–IVPilot39/11943/46N/AS+RS+R+DCATL (Roncoleukin)106SC
Chang et al,28 2011ChinaNRSbIII–IVI/II17/8045/N/A≥70S+RS+R+DCFusion10–6010SC
Prins et al,27 2011USANRSbIVI9/9153/N/A≥60S+R+CS+R+C+DCATL1–10~10ID
Cho et al,19 2012ChinaRCTIVII18/3452/56.70S+R+CS+R+C+DCFusion20–5010SC
Jie et al,20 2012ChinaRCTIVII13/2540/43≥60S+R+CS+R+C+DCATL (heat-shocked)14SC
Buchroithner et al,18 2014AustriaRCTIVII19/40N/AN/AS+R+CS+R+C+DCATL (LPS/IFN- γ)N/A10IN
Vik-Mo et al,26 2013NorwayNRSbIVPilot7/1757/62NAS+R+CS+R+C+DCGSC-mRNA1012ID
Müller et al,30 2015GermanyNRScIII–IVN/A117/282N/AN/AReRT/ReOPReOP+DCN/AN/AN/AN/A
Batich et al,29 2017USANRSbIVI11/3455/NA≥80S+R+CS+R+C+DCpp65-mRNA203ID

Notes: NRS,

non-randomized controlled trial; NRS,

cohort study; NRS,

historically controlled study. Fusion, fusion of DC and tumor cells; GSC-mRNA, autologous glioblastoma stem cell mRNA transfected; pp65-mRNA, cytomegalovirus pp65 mRNA transfected.

Abbreviations: RU, Russian Federation; RCT, randomized controlled trial; NRS, non-randomized controlled study; Pts, patients; DC, dendritic cell; CT, control therapy; KPS, Karnofsky performance score; S, surgery; R, radiation; C, chemotherapy; ReRT, re-radiation; ReOP, reoperation; ATL, autologous tumor lysates; HEP, HLA-1-eluted peptide; KLH, keyhole limpet hemocyanin; P. pyogenes, penicillin-killed Streptococcus pyogenes; AMP, acid eluted MHC-I enriched peptides; ID, intradermal; IT, intratumoral; SC, subcutaneous; IN, inguinal lymph node injection; N/A, no data.

Table 2

Original data extracted from included studies

StudyYearSample size (DC/control)0.5-year OS (Pts, %)1-year OS (Pts, %)2-year OS (Pts, %)3-year OS (Pts, %)4-year OS (Pts, %)5-year OS (Pts, %)0.5-year PFS (Pts, %)1-year PFS (Pts, %)2-year PFS (Pts, %)3-year PFS (Pts, %)4-year PFS (Pts, %)
Wheeler et al2320041313, 100%12, 92.3%7, 53.8%2, 15.4%1, 7.7%//////
1313, 100%8, 61.5%2, 15.4%00//////
Yu et al2520041414, 100%11, 78.6%6, 42.9%5, 35.7%4, 28.6%1, 7.1%/////
2615, 57.7%7, 26.9%2, 7.7%2, 7.7%00/////
Liau et al2220051212, 100%9, 75.0%6, 50.0%3, 25.0%2, 16.7%2, 16.7%10, 83.3%9, 75.0%5, 41.7%2, 16.7%/
9997, 98.0%60, 60.6%20, 20.2%5, 5.1%2, 2.0%1, 1.0%68, 68.7%32, 32.3%4, 4.0%1, 1.0%/
Yamanaka et al2420051816, 88.9%11, 61.1%4, 22.2%2, 11.1%1, 5.6%//////
2724, 88.9%16, 59.3%1, 3.7%00//////
Leplina et al21200739/29, 74.4%14, 35.9%4, 10.3%///////
80/42, 52.5%22, 27.5%15, 18.8%///////
Chang et al2820111716, 15.1%11, 64.7%7, 41.2%6, 35.3%4, 23.6%3, 23.1%/////
6351, 81.0%35, 55.6%7, 11.1%000/////
Prins et al27201199, 100%8, 88.9%5, 55.6%5, 55.6%4, 44.4%4, 44.4%/////
8282, 100%58, 70.7%20, 24.4%10, 12.2%8, 9.8%5, 6.1%/////
Cho et al1920121818, 100%16, 88.9%8, 44.4%3, 16.7%2, 11.1%/12, 66.7%7, 38.9%3, 16.7%2, 11.1%2, 11.1%
1616, 100%12, 75.0%4, 25.0%00/13, 81.3%13, 81.3%000
Jie et al2020121312, 92.3%9, 69.2%1, 7.7%///12, 92.3%////
1212, 100%5, 41.7%0///11, 91.7%////
Vik-Mo et al26201377, 100%6, 85.7%5, 71.4%///7, 100%6, 85.7%3, 42.9%
1010, 100%8, 80.0%3, 30.0%///8, 80.0%1, 10.0%0
Buchroithner et al18201419/17, 89.5%/////////
21/13, 61.9%/////////
Müller et al30201511784, 71.8%41, 35.0%15, 12.8%7, 6.0%5, 4.3%1, 0.9%/////
165103, 62.4%44, 26.7%17, 10.3%5, 3.0%4, 2.4%3, 1.8%/////
Batich et al2920171111, 100%11, 100%8, 72.7%6, 54.5%4, 36.4%4, 36.4%11, 100%8, 72.7%6, 54.5%4, 36.4%4, 36.4%
2322, 95.7%12, 52.2%4, 17.4%00018, 78.3%5, 21.7%000

Abbreviations: DC, dendritic cell; OS, overall survival; Pts, patients; PFS, progression-free survival.

Five studies were from America, four from Europe, and the rest from Asia. All studies enrolled patients with HGGs of grade III anaplastic astrocytomas (AA), and/or IV (GBM). One cohort study,30 two pilot studies,21,26 four Phase I trials,22,25,27,29 three Phase II trials,18–20 and three Phase I/II trials were included in these studies.23,24,28 Most of the studies enrolled patients with Karnofsky performance scale (KPS) score of ≥60,20,22,23,25,27 two studies with KPS score of ≥70,19,28 and only one study with KPS score of ≥80.29 However, there were still five studies without inclusion criteria for KPS score or relative data not available.18,21,24,26,30 All studies contained at least two arms, one arm was conventional treatment, such as surgery, radiation, and TMZ chemotherapy, while the other arm had the addition of DC vaccination. For 7/13 studies, surgery, radiation, and chemotherapy were applied in both arms.18–20,22,24,26,27,29 Surgery and radiation were applied in two studies.21,28 In a non-RCT study, only chemotherapy was used as the control arm,23 while in the cohort study, re-radiation therapy (always concomitant with re-operation) was used as the control arm and re-operation plus DC vaccine was used as the treatment arm.30 The activation of DCs was achieved in different ways in different studies. Although autologous tumor lysates (ATL) were commonly used to activate DCs in these studies,18–21,24,25,27 HLA-1-eluted peptides,23 and acid eluted MHC-I enriched peptides were also alternatives to pulsed DCs.22 Autologous glioblastoma stem cell mRNA26 and cytomegalovirus pp65 mRNA29 transfected DCs were administered in two other studies. The dosage of DCs injected ranged from 106–108, and the vaccination cycles also varied greatly in different studies. The injection routes of DC administration mainly included intradermal (ID),22,24–27,29 intratumoral (IT),24 subcutaneous (SC),19–21,28 and inguinal lymph node injection.18

OS

OS was assessed at the time point of 0.5 year, 1 year, 2 years, 3 years, 4 years, and 5 years, as shown in Table 3 (forest plots were included in Figure S2). No heterogeneity was observed, and fixed-effects models were used. We found that in all of the time points specified, OS was significantly better in DC group than that in CT group, except at the time point of half a year (P=0.391, pooled RR =1.058, 95% CI =0.930–1.203).
Table 3

OS analysis at the time point of 0.5 year, 1 year, 2 years, 3 years, 4 years, and 5 years

SubgroupsNo of studiesNo of patients
Heterogeneity
ModelM-H pooled RR95 % CI
Z valueP sig
DC groupCT groupP-valueI2 (%)UpperLower

0.5-year OS112495360.9990.0Fixed1.0580.9301.2030.860.391
1-year OS133076370.9950.0Fixed1.2221.0501.4232.580.010
2-year OS122886160.7640.0Fixed1.7921.3662.3534.210.000
3-year OS132685940.09739.2Fixed2.7501.7834.2424.580.000
4-year OS92295080.7220.0Fixed4.5322.4278.4614.740.000
5-year OS61804580.26622.3Fixed4.8012.28010.1084.130.000

Abbreviations: OS, overall survival; DC, dendritic cell; CT, control therapy; M–H, Mantel–Haenszel; sig, significance.

PFS

PFS analysis was performed at the time point of 0.5 year, 1 year, 2 years, 3 years, and 4 years (data were shown in Table 4 and forest plots were included in Figure S3). No advantages were observed in DC group in both 0.5-year PFS and 1-year PFS, although different models were used. In contrast, significantly better PFS data were found in DC group compared with CT group from the time point of 2 years (P=0.000, pooled RR =8.592, 95% CI =2.944–25.077), 3 years (P=0.006, pooled RR =9.302, 95% CI =1.924–44.969), and 4 years (P=0.039, pooled RR =8.017, 95% CI =1.109–57.950).
Table 4

PFS analysis at the time points of 0.5 year, 1 year, 2 years, 3 years, and 4 years

SubgroupsNo of studiesNo of patients
Heterogeneity
ModelM-H pooled RR95 % CI
Z valueP sig
DC groupCT groupP-valueI2 (%)UpperLower

0.5-year PFS5611600.9750.0Fixed1.0510.8121.3600.380.740
1-year PFS4481480.04961.9Random1.5510.7453.2291.170.241
2-year PFS4481480.9400.0Fixed8.5922.94425.0773.940.000
3-year PFS3411380.7800.0Fixed9.3021.92444.9692.770.006
4-year PFS229390.5650.0Fixed8.0171.10957.9502.060.039

Abbreviations: PFS, progression-free survival; DC, dendritic cell; CT, control therapy; M–H, Mantel–Haenszel; sig, significance.

Subgroup analysis was conducted according to regions (America vs Asia vs Europe), study design (NRS vs RCTs), method of DC activation (peptides vs ATL vs DNA constructs vs fusion of tumor cell lines), dosages (<2×107 vs ≥2×107), cycles (<4 vs ≥4), and route of injections (ID vs SC). Results were only reported for 1-year OS, 2-year OS, and 3-year OS, as shown in Table 5. Studies published in America showed significant enhancement with DC vaccination in both 2-year OS (P<0.001, pooled RR =2.488, 95% CI =1.656–3.738) and 3-year OS (P<0.001, pooled RR =4.574, 95% CI =2.312–9.048); however, studies published in Asia also obtained better results in DC group in 3-year OS analysis (P=0.001, pooled RR =12.141, 95% CI =2.603–56.616). NRS indicated significant enhancement in DC group in both 1-year OS (P=0.018, pooled RR =1.226, 95% CI =1.036–1.450), 2-year OS (P<0.001, pooled RR =1.806, 95% CI =1.361–2.395), and 3-year OS (P=0.001, pooled RR =2.678, 95% CI =1.730–4.145). Different types of activation of DCs showed significant difference between DC group and CT group in 2-year OS, except for peptides’ activation (P=0.080, pooled RR =1.983, 95% CI =0.922–4.266), perhaps due to the limited study numbers (only one) in this group. No specific dosages, cycles or injection routes were found to be superior in the subgroup analysis, since significant difference between DC group and CT group regarding 2-year OS was found in all the groups within these subgroups.
Table 5

The outcome of subgroup analysis of DC vs CT regarding 1-year, 2-year, and 3-year OS

SubgroupsNo of studiesPooled RR95% CI
P sigNo of studiesPooled RR95% CI
P sigNo of studiesPooled RR95% CI
P sig
LowerUpperLowerUpperLowerUpper

Regions
Total131.2221.0501.4230.010121.7921.3662.3530.000102.7501.7834.2420.000
America51.2750.9991.6260.05152.4881.6563.7380.00054.5742.3129.0480.000
Asia41.1180.7701.6240.55742.1610.8925.2310.088312.1412.60356.6160.001
Europe41.2290.9711.5330.08731.2730.8441.9190.24921.0030.4822.0870.994
Study designs
Total131.2221.0501.4230.010121.7921.3662.3530.000102.7501.7834.2420.000
NRS101.2261.0361.4500.018101.8061.3612.3950.00092.6781.7304.1450.000
RCT31.2060.8431.7270.30621.6510.6104.4600.32415.4090.29997.7960.253
DC activation
Total111.2220.0501.4230.010101.7921.3662.3530.00082.7501.7834.2420.000
ATL61.2601.0061.5790.04451.7471.1332.6930.01241.6390.9172.9270.095
Peptides11.1360.6671.9350.64011.9830.9224.2660.08014.1601.10615.6510.035
Fusion21.0990.7481.6150.63022.1471.0744.2920.031214.9442.38893.5110.004
mRNA21.2820.7902.0810.31522.3591.0775.1680.032117.3331.043288.1270.047
Dosages
Total71.2221.0501.4230.01071.7921.3662.3530.00052.7501.7834.2420.000
<2×10751.1920.9361.5180.15451.5501.0602.2660.02431.4660.8212.6200.196
≥2×10721.2470.8251.8850.29622.0891.0044.3450.049210.5571.50174.2370.018
Cycles
Total101.2221.0501.4230.01091.7921.3662.3530.00072.7501.7834.2420.000
<641.5131.0522.1750.02543.0521.4926.2450.00236.0951.83120.2880.003
≥661.1650.9441.4380.15551.6441.1412.3700.00842.0321.0923.7820.025
Routes
Total91.2221.0501.4230.01091.7921.3662.3530.00072.7501.7834.2420.000
ID51.3000.9831.7200.06652.2751.4673.5300.00044.5922.2909.2050.000
SC41.1900.9221.5360.18241.5711.0142.4340.04331.7690.8743.5790.113

Abbreviations: DC, dendritic cell; CT, control therapy; OS, overall survival; sig, significance; NRS, non-randomized controlled study; RCT, randomized controlled trial; ATL, autologous tumor lysates; ID, intradermal; SC, subcutaneous.

AEs

The most frequent AEs were low-grade fever, fatigue, and myalgia.20,22,25–27 Injection site reactions, including erythema, pain, and itching, were reported in four studies.22,24,25,27 Nausea, vomiting, constipation, and diarrhea were recorded in three studies.22,26,27 Severe vaccine-related AEs were only reported in two studies. Chang et al reported Grade III (3/17) and Grade IV (2/17) lymphopenia in DC group,28 while Batich et al noted only one Grade III AE attributable to GM-CSF administration.29 No death related to DC vaccination was reported in the included studies.

Risk of bias

Three RCT studies were assessed by Cochrane risk of bias tool with Revman 5.3. As shown in Figure 2, most of the judgements for the three RCT studies were low risk of bias or unclear, with only one high risk of bias reported for Buchroithner et al. In that trial, data were not completely documented.18
Figure 2

Risk of bias analysis for randomized clinical trials included.

NRS was assessed by NOS13 as shown in Table 6, most of the studies scored more than six stars, indicating low risk of bias, with only one cohort study scoring five stars.30
Table 6

Risk of bias of non-randomized studies by NOS scale

StudyYearStudy designSelection
ComparabilityOutcome
Totalscore
Exposed cohortNon-exposed cohortAscertainment of exposureOutcome of interestAssessment of outcomeLength of follow-upAdequacy of follow-up

Yu et al252004NRCT*********9
Wheeler et al232004NRCT********8
Yamanaka et al242005NRCT********8
Liau et al222005NRCT*********9
Leplina et al212007NRCT******6
Chang et al282011Historical********8
Prins et al272011Historical*******7
Vik-Mo et al262013Historical********8
Müller et al302015Cohort*****5
Batich et al292017Historical*******7

Notes: Cohort, cohort study; historical, historically controlled trial.

Abbreviations: NOS, Newcastle–Ottawa scale; NRCT, non-randomized controlled trial.

Sensitivity analysis

Sensitivity analysis was performed to explore an individual study’s influence on the pooled results by deleting one single study each time from pooled analysis. Regarding 0.5-year OS, 1-year OS, 2-year OS, 3-year OS, 4-year OS, and 5-year OS, the results showed that no substantial change was found after deleting any of the studies, representatively shown in Figure 3 (data from 1-year OS), indicating that no individual study affected the pooled RR significantly.
Figure 3

Sensitivity analysis for 1-year overall survival.

Publication bias

Publication bias was assessed by Egger’s plot and Begg’s test regarding OS and PFS, when studies included were more than ten. Results indicated that no significant difference was found in publication bias regarding OS (Begg’s test: P=0.853, Egger’s test: P=0.451, as representatively shown in Figure 4 for 1-year OS).
Figure 4

Publication bias analysis for 1-year overall survival.

Discussion

In this meta-analysis, we evaluated the efficacy of DCs in treatment of HGGs, particularly in terms of the OS, PFS, and AEs. Results indicated that DCs could significantly improve OS and PFS without serious AEs. In the subgroup analysis, DCs were found to be more preferable in NRS than in RCTs in both 1-year OS, 2-year OS, and 3-year OS analysis. Interestingly, no specific difference was found both in 1-year OS and 2-year OS regarding cycles, dosages or routes of injection. Most of the individual subgroups was consistent with the primary outcome. We also performed sensitivity and publication bias analyses to investigate the robustness and bias between studies. In contrast to previous systematic reviews,10,11 we collected studies from different regions with different study designs and varied pulsing methods, dosages, cycles, and injection routes for DC administration. With these freshly updated retrievals, we suggest that DC vaccine is safe and effective in improving OS and PFS in HGG patients. HGGs are some of the most aggressive and refractory brain tumors. Although intensive efforts have been made, the prognosis for HGGs still remains ominous. The poor success of current treatment might partially be due to the translational gap resulting from insufficient consideration of basic concepts of glioma biology in clinical trials.32 One of the most important factors that affects the successful treatment of HGGs is the blood–brain barrier (BBB), which prevents the diffusion of anticancer drugs into the central nervous system (CNS).33 Fortunately, DC vaccine provides a novel modality as immunotherapy, since CNS is no longer considered as an immune privileged site, but rather an actively regulated site of immune surveillance.34 Similar to other leukocytes, DCs can transmigrate the BBB under multiple conditions via different pairs of receptors and ligands.35 Our analysis further confirmed that DC vaccine was effective in prolonging the OS and PFS in HGG patients. However, there is still a long way to go for DC vaccines to be standardized. As we summarized in this analysis, DCs were prepared in multiple ways, then administered via different routes for varied cycles with a broad range of dosages. To be activated, DCs were pulsed with ATL, peptides, DNA constructs or through fusion of DCs with tumor cell lines.36 From this meta-analysis, we could not determine which kind of activation of DCs was better than the others. The magnitude of antigen-specific cytotoxic T-lymphocyte responses to DC vaccination is determined by the migration of DCs to lymphoid tissues. However, the migration was greatly affected by the administration route of activated, mature DCs. A variety of injection routes has been investigated, including ID, SC, intravenous, intraperi-toneal, intranodal (intralymphatic), and IT. But the optimal route of administration has yet to be determined, although intranodal injection offers the advantage of DCs not needing to migrate, as they are already in close proximity to T-cells in the lymph node.36,37 From the data we collected, we could not make a suggestion for the route of DC administration in HGG patients. Neither could we come to a conclusion for the dosages or cycles to be applied. Our study also had some limitations. Primarily, most of the studies included were NRS, although RCTs are well accepted as the gold standard for intervention studies.38 Secondly, the basis for grouping patients in each study slightly differed, which could have affected the analysis of OS and PFS in each study to some extent. Thirdly, although there was no statistical publication bias in the overall analysis, only papers published in English with full-text were included in this meta-analysis. This may have resulted in other eligible studies that were unpublished or reported in other languages being left out. In addition, the cohort study and some RCTs without clear report on randomization or allocation concealment, increased the risk of bias in this meta-analysis. DC vaccine is safe and effective in reducing mortality and tumor recurrence for patients with HGGs. In the future, double-blind, randomized, placebo-controlled trials in Phase III with adequate follow-up would provide more information on the analysis of DC application in cancers. PRISMA checklist. Notes: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 6(7):e1000097. doi: 10.1371/journal.pmed1000097.1 For more information, visit: www.prisma-statement.org. Forest plots for overall survival (OS) analysis of high-grade glioma patients treated with dendritic cells. Note: (A) 0.5-year OS, (B) 1-year OS, (C) 2-year OS, (D) 3-year OS, (E) 4-year OS, (F) 5-year OS. Forest plots for progression-free survival (PFS) analysis of high-grade glioma patients treated with dendritic cells. Notes: (A) 0.5-year PFS, (B) 1-year PFS, (C) 2-year PFS, (D) 3-year PFS, (E) 4-year PFS. Weights are from random-effects analysis. 1. Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 6(7):e1000097.
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Review 1.  The blood-brain barrier: bottleneck in brain drug development.

Authors:  William M Pardridge
Journal:  NeuroRx       Date:  2005-01

Review 2.  Mechanisms of dendritic cell trafficking across the blood-brain barrier.

Authors:  Divya Sagar; Catherine Foss; Rasha El Baz; Martin G Pomper; Zafar K Khan; Pooja Jain
Journal:  J Neuroimmune Pharmacol       Date:  2011-08-06       Impact factor: 4.147

3.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

Review 4.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

5.  Gene expression profile correlates with T-cell infiltration and relative survival in glioblastoma patients vaccinated with dendritic cell immunotherapy.

Authors:  Robert M Prins; Horacio Soto; Vera Konkankit; Sylvia K Odesa; Ascia Eskin; William H Yong; Stanley F Nelson; Linda M Liau
Journal:  Clin Cancer Res       Date:  2010-12-06       Impact factor: 12.531

6.  Clinical application of a dendritic cell vaccine raised against heat-shocked glioblastoma.

Authors:  X Jie; L Hua; W Jiang; F Feng; G Feng; Z Hua
Journal:  Cell Biochem Biophys       Date:  2012-01       Impact factor: 2.194

7.  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

8.  Dendritic cell vaccination in glioblastoma patients induces systemic and intracranial T-cell responses modulated by the local central nervous system tumor microenvironment.

Authors:  Linda M Liau; Robert M Prins; Sylvia M Kiertscher; Sylvia K Odesa; Thomas J Kremen; Adrian J Giovannone; Jia-Wei Lin; Dennis J Chute; Paul S Mischel; Timothy F Cloughesy; Michael D Roth
Journal:  Clin Cancer Res       Date:  2005-08-01       Impact factor: 12.531

9.  Use of interferon-alpha-induced dendritic cells in the therapy of patients with malignant brain gliomas.

Authors:  O Yu Leplina; V V Stupak; Yu P Kozlov; I V Pendyurin; S D Nikonov; M A Tikhonova; N V Sycheva; A A Ostanin; E R Chernykh
Journal:  Bull Exp Biol Med       Date:  2007-04       Impact factor: 0.804

10.  Therapeutic vaccination against autologous cancer stem cells with mRNA-transfected dendritic cells in patients with glioblastoma.

Authors:  Einar Osland Vik-Mo; Marta Nyakas; Birthe Viftrup Mikkelsen; Morten Carstens Moe; Paulina Due-Tønnesen; Else Marit Inderberg Suso; Stein Sæbøe-Larssen; Cecilie Sandberg; Jan E Brinchmann; Eirik Helseth; Anne-Marie Rasmussen; Knut Lote; Steinar Aamdal; Gustav Gaudernack; Gunnar Kvalheim; Iver A Langmoen
Journal:  Cancer Immunol Immunother       Date:  2013-07-02       Impact factor: 6.968

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  1 in total

Review 1.  Review: Neurological Complications From Therapies for Pediatric Brain Tumors.

Authors:  Thien Nguyen; Sabine Mueller; Fatema Malbari
Journal:  Front Oncol       Date:  2022-04-11       Impact factor: 5.738

  1 in total

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