Literature DB >> 34512004

Efficacy and Safety of Actively Personalized Neoantigen Vaccination in the Management of Newly Diagnosed Glioblastoma: A Systematic Review.

Muhammad Khan1,2, Xianming Li1, Maosheng Yan1, Zihuang Li1, Hongli Yang1, Guixiang Liao1.   

Abstract

PURPOSE: Glioblastoma (GBM) shows frequent relapse and is highly resistant to treatment; therefore, it is considered fatal. Various vaccination protocols that have been tested in patients with GBM, which is the most common and aggressive primary brain tumor, have indicated safety and efficacy, to some extent, when used alone or in combination with standard of care. Recently, neoantigen-based personalized vaccines have shown tremendous immunogenicity and safety in GBM. We aimed to systematically review the medical literature for clinical trials to evaluate the efficacy and safety of neoantigen-based personalized vaccines for newly diagnosed GBM.
METHODS: We conducted a literature search for clinical trials on PubMed, Cochrane Library, China National Knowledge Infrastructure, and ClinicalTrials.gov until March 20, 2021. The primary outcomes of interest were immunogenicity and safety of the therapy. Efficacy outcomes, such as progression-free survival and overall survival, were secondary outcomes of interest.
RESULTS: Two clinical trials involving 24 patients were included in this review. High immunogenicity was observed in both studies. The GAPVAC-101 trial reported 50% APVAC1-induced and 84.7% APVAC2-induced immunogenicity with CD8+ and CD4+ T cell responses in 92% (12/13) and 80% (8/10) immune responders, respectively. Two out of five patients showed CD4+ and CD8+ T cell responses in the study by Keskin et al. Dexamethasone use had limited immunogenicity in a trial by Keskin et al (6/8). No serious treatment-related adverse events were reported.
CONCLUSION: Actively personalized vaccines aimed at unmutated peptides and neoantigens for patients with GBM are safe and highly immunogenic, particularly when administered in combination. Larger studies are warranted to investigate the role.
© 2021 Khan et al.

Entities:  

Keywords:  GBM; active immunotherapy; glioblastoma; immunogenicity; neoantigen; personalized peptide vaccination; safety

Year:  2021        PMID: 34512004      PMCID: PMC8427683          DOI: 10.2147/IJGM.S323576

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Glioblastoma multiforme (GBM) accounts for 14.9% of primary brain tumors and 55.4% of all gliomas, but it is the most common (46.6%) of all malignant tumors of the central nervous system. Its incidence rate is 3.20 per 100,000 population. According to the CBTRUS Statistical Report 2009–2013, GBM is significantly prevalent in males compared to that in females and in whites compared to that in blacks in the United States.1 GBM exists in the primary and secondary forms. Primary GBM, which represents the majority of the tumors (90%), develops de novo and has no lower grade precursor malignancy. Secondary GBM is a grade IV glioma and has low-grade diffuse astrocytoma (grade II) or anaplastic astrocytoma (grade III) as its precursor.2 Clinical manifestations of GBM include physical, neurological, and psychological signs and symptoms, such as headache, nausea and vomiting, visual and language disturbances, motor weakness, cognitive impairment, memory loss, and personality changes.3 GBM is considered fatal because it frequently relapses and is highly resistant to therapy.4 Patients with GBM who have not received treatment reported a median survival time of only 3 months.5 Standard of care (SOC), which consists of surgical resection, temozolomide chemotherapy, and radiotherapy, has improved the median survival time to 12–18 months.5,6 Targeted therapy involving the addition of bevacizumab and everolimus to the SOC has comparatively improved outcomes.7,8 Recent advances in immunotherapy, especially immune checkpoint inhibitors (ICIs), have shown promise for several cancers. However, monotherapy with ICIs has failed to improve outcomes in patients with GBM.9 Hence, GBM is also termed as a “cold tumor.” However, several forms of vaccinations have been administered for GBM, which have shown a slight surge in progression-free survival (PFS) and overall survival (OS) in these patients.10 Three main types of antigens that are targeted in GBM vaccinations are being tested clinically. They include tumor-associated antigens (TAAs), tumor-specific antigens (TSAs), and tumor lysate.11 Neoantigens are TSAs resulting from somatic DNA alterations in the form of nonsynonymous point mutations, insertions or deletions, gene fusions, and frameshift mutations. Most recently, there has been a boom in the application and success of neoantigen-based vaccination for melanoma.12 Moreover, in other cancers, such as melanoma, colorectal cancer, and non-small cell lung cancer (NSCLC), somatic mutation burden was correlated with increased survival and clinical benefit derived from ICI application.13–17 This vaccine represents a more personalized form of vaccine, as it accounts for cancer-to-cancer variation for specific cancer types as well as patient-to-patient variations. Recently, two trials have assessed neoantigen-based peptide vaccines for newly diagnosed patients with GBM. Both these trials have reported tremendous CD8+ and CD4+ T cell responses against the tumor and tumor infiltration of these cells, making them “hot tumors.”18,19 We aimed to conduct a systematic review of studies to evaluate the efficacy and safety of neoantigen-based vaccines for GBM, keeping in mind the future prospects.

Materials and Methods

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for reporting.20 A protocol of this study is registered on PROSPERO: CRD42021248719.

Inclusion Criteria

Patients and Study Types

Patients with GBM who received personalized neoantigen vaccines were included. Only clinical trials (CTs) were included in this study. Retrospective studies, case reports, and/or commentary were excluded.

Types of Interventions

The intervention was personalized neoantigen-based vaccine for patients with GBM.

Outcomes of Interest

Immunogenicity and safety were the primary outcomes of interest. The secondary outcomes of interest included PFS and OS.

Search Strategy

Databases

We conducted a literature search in PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), and ClinicalTrials.gov until August 20, 2019. “English only” language restriction was applied. Furthermore, references of relevant studies were searched for identifying more studies.

Study Selection

The selected studies were imported into Endnote X9 software for organizing, screening, and removing duplicates. After removal of duplicates, the titles and abstracts of the studies were screened. Studies that met the exclusion criteria were excluded. Study selection was performed by two independent reviewers. Full text and supplementary materials were obtained for the selected studies. Any disagreements were resolved by discussion among the authors’ team.

Data Extraction

The Cochrane Collaboration Data Collection form—randomized controlled trials (RCTs) and non-RCTs—was used and modified for data extraction. We collected information on attributes of the studies, study design, first author, country of research, publication year, number of participants, and characteristics of vaccine development and delivery. Characteristics of patients, such as age, Karnofsky Performance Scale (KPS), human leukocyte antigen (HLA) allotypes, MGMT methylation status, and median number of vaccinations. Finally, data of the outcomes of interest were extracted, which included data on immunogenicity and safety and patient survival.

Assessment of Risk of Bias

Risk of bias was assessed using the Cochrane tools.21

Measurement of Treatment Effect and Data Synthesis

The extracted data were incorporated into the table form. Immunogenicity was recorded as the number of immunogenic peptides, observed CD8+ and CD4+ T cell responses, and tumor infiltration of T cells.

Results

Studies’ and Patients’ Characteristics

Two CTs involving 24 patients were included in this systematic review (Figure 1).18,19 All patients had newly diagnosed GBM and had received surgery, radiotherapy, or chemoradiotherapy, followed by personalized neoantigen-based vaccine. GAPVAC-101 patients (n=16) received two synthesized peptide vaccines, one aimed at unmutated peptides (APVAC1) and the other aimed at neoantigens (APVAC2). APVAC1 was formulated using a pre-constructed library of HLA-presented non-mutated antigens in patients with GBM. APVAC1 consisted of seven best-ranked class I peptides plus two class II (pan-DR antigen) and a viral peptide. The participants (n=8) in Keskin et al’s study received only a neoantigen-based vaccine formulation (NeoVax). One case study that reported neoantigen-specific T cell responses in a patient with GBM after the administration of neoantigen vaccine was excluded.22 The general characteristics of the studies, participants, and vaccines are listed in Table 1.
Figure 1

PRISMA flow diagram.

Table 1

General Characteristics of the Studies and Patients

Clinical TrialsKeskin et al19GAPVAC-10118Total
Characteristics
Number of participantsN=8 (100)N=16 (100)24 (100)
Age (median; years)65 (range, 45–73)52.5 (range, 25–70)
Female6 (75)7 (44)13 (54)
KPS
10004 (25)4 (16.6)
906 (75)6 (37.5)12 (50)
801 (13)5 (31.25)6 (25)
701 (13)1 (6.25)2 (8.3)
MGMT methylationMGMT unmethylated28.6% MGMT hypermethylated
IDH1 wild-type8 (100)-
Dexamethasone use6 (75)17 (29)
Mutations per tumour (median; range)59 (32–93) Coding mutations per tumour36 (19–84) somatic, non-synonymous mutations
Surgery to 1st neovax (median weeks; range)18.6 (17.1–25.0)
Vaccine compositionNeoVax: 7–20 peptides (15–30aa) divided into pools of 3–5 peptides (9–10aa) designated as A, B, C, DAPVAC1: 7 class I peptides + 2 class II peptides + a viral marker peptideAPVAC2: 20 de novo synthesized peptides (14 mutated and 6 unmutated)
AdjuvantAdmixed with poly-ICLCGM-CSF (intra- dermal injection) and poly-ICLC (subcutaneous injection)
Vaccination peptides/patient (median; range)12 (7–20)APVAC1/2: 12/10
HLA-restrictionNoneHLA-A*02:01HLA-A*24:02

Note: All data given as frequencies and (percentages) unless otherwise indicated.

Abbreviations: N, number; MGMT, O[6]-methylguanine-DNA methyltransferase, IDH1= isocitrate dehydrogenase 1; HLA, human leukocyte antigen; poly-ICLC, polyinosinic and polycytidylic acid, stabilized with poly-l-lysine and carboxymethylcellulose; GM-CSF, granulocyte–macrophage colony-stimulating factor; HLA-A*02/ HLA-A*24, human leukocyte antigen serotype determined by the antibody recognition of the α2 domain/α24 subset of the HLA-A α-chain.

General Characteristics of the Studies and Patients Note: All data given as frequencies and (percentages) unless otherwise indicated. Abbreviations: N, number; MGMT, O[6]-methylguanine-DNA methyltransferase, IDH1= isocitrate dehydrogenase 1; HLA, human leukocyte antigen; poly-ICLC, polyinosinic and polycytidylic acid, stabilized with poly-l-lysine and carboxymethylcellulose; GM-CSF, granulocyte–macrophage colony-stimulating factor; HLA-A*02/ HLA-A*24, human leukocyte antigen serotype determined by the antibody recognition of the α2 domain/α24 subset of the HLA-A α-chain. PRISMA flow diagram.

Immunogenicity

Three vaccines (APVAC1, APVAC2, and NeoVax) were applied: 2 (APVAC1 and APVAC2) in the GAPVAC-101 trial and 1 (NeoVax) by Keskin et al. APVAC1 produced 50% immunogenicity, and APVAC2 induced 84.7% immunogenicity. APVAC1 produced CD8+ T cell responses of the central memory type, and APVAC2, which was aimed at neoantigens, produced primarily CD4+ T cell responses. In the study by Keskin et al, two of the five patients who received at least one boost after priming but did not receive dexamethasone for side effects at priming showed immunogenicity. Keskin et al also revealed that both kinds of responses of CD4+ T cells and CD8+ T cells enriched in the memory phenotype (Table 2).
Table 2

Immunogenicity of Personalized Unmutated & Neoantigen Vaccination

VaccinesPeptidesNumberImmunogenicPatientsT Cells Responses
APVAC1Class I8745 (51.7%)12/13 (92.3%)CD8+ T cells
Class II2613 (50%)9/13 (69.2%)CD4+ T cells
APVAC2Mutated1311 (84.7%)8/10 (80%)CD4+ and CD4+ plus CD8+ T cells
Unmutated61 (16.7%)CD8+ T cells
NEOVAX7–20 peptides (15–30aa) divided into pools of 3–5 peptides (9–10aa) designated as A, B, C, D60Pool C peptides (pt-7) A, B pools (pt-8)2/5Mainly CD4+ T cells (Pt 7 and 8) and lower frequencies of CD8+ T cells (only Pt 7)
Immunogenicity of Personalized Unmutated & Neoantigen Vaccination

APVAC1

A total of 13 patients received 87 APVAC1 peptides. Eleven of the 13 patients showed immunogenicity with sustained immune responses of central memory CD8+ T cells. Forty-five of the 87 vaccination peptides were immunogenic, revealing a 51.7% immunogenicity. Each APVAC1 had two peptides directed at class II antigens (pan-DR antigens). Overall, 13 patients had received 26 peptides, of which 9 showed immunogenicity to one or both unmutated pan-DR antigens. Thirteen of the 26 peptides administered were immunogenic, revealing 50% immunogenicity. These peptides mainly induced CD4+ T cell responses.

APVAC2

Overall, ten patients were evaluated for APVAC2 immunogenicity. Eight patients (80%) demonstrated neoepitope-specific immune responses, predominantly CD4+ T cell responses. Eleven mutated APVAC2 peptides induced isolated CD4+ T cell responses or CD4+ plus CD8+ T cell responses of the 13 vaccinated individuals, showing an 84.7% immunogenicity. The CD4+ T cell responses were predominantly of the TH1 phenotype and were multifunctional. None of these mutated APVAC2 peptides had induced isolated CD8+ T-cell responses. APVAC2 unmutated peptides6 induced CD8+ T cell responses only once (Patient 8).

NeoVax

Overall, two patients who did not receive dexamethasone showed immunogenic responses. Patient 7 primarily responded to pool C peptides with CD4+ T cell responses, primarily against the mutated neoepitopes. Patient 8 responded to two pools (pools A and B) with CD4+ T cell responses against three neoepitopes. Two mutated neoepitopes were targeted preferentially over the wild type, whereas 1 (COX18) neoepitope showed similar reactivity between mutant and wild type. Approximately 20–30% of the CD4+ and CD8+ T cell responses were polyfunctional, and half of these expressed at least one effector cytokine.

Tumor Infiltration of T Cells

Both studies revealed tumor infiltration of CD8+ and CD4+ T cells. GAPVAC-101 reported that a single patient (Patient 8) had tumor resection following recurrence at 26.8 months after diagnosis, demonstrating high infiltration of T cells and a favorable CD8+ T/FOXP3+ Treg cell ratio. Keskin et al reported five patients (Patients 3, 4, 5, 7, and 8) with disease progression (PFS; median=17.3 weeks; range, 6.7–26.3) underwent surgery after vaccination. Two patients (Patients 7 and 8) showed a significant increase in CD8+ T cell infiltration into the tumor at relapse compared to that at baseline (p=0.006). Compared to Patients 3, 4, and 5 who received dexamethasone, Patients 7 and 8 demonstrated an increase in CD8+ (p=0.02) and CD4+ T cells (p=0.008).

Safety and Tolerability

Both studies reported treatment-related adverse events. Injection site disorders were the prominent side effects, particularly in the GAPVAC-101 study. Other events were mild (Table 3).
Table 3

Treatment Related Adverse Events

Adverse EventAll TRAEGrade >2Grade ≥3Total
GAPVAC-10118Keskin et al19Keskin et al19GAPVAC-10118
Total events3492543
Chills213
Dizziness11
Fatigue3114
Flushing11
Headache2113
Myalgia22
Nausea213
Injection site reaction141115
Influenza like illness33
Leukopenia212
Anaphylactic reaction212
Rash11
Lymphopenia111
Brain edema111
Skin odor abnormal11

Note: All data given as frequencies.

Abbreviation: TRAE, treatment-related adverse events.

Treatment Related Adverse Events Note: All data given as frequencies. Abbreviation: TRAE, treatment-related adverse events.

Progression-Free Survival and Overall Survival

Both studies reported PFS for all participants. Keskin et al revealed a median PFS of 7.6 months (n=8). The GAPVAC-101 study reported a median PFS of 14.2 months (n=15). A median OS of 29 months was reported in the GAPVAC-101 study, whereas Keskin et al reported a median OS of 16.8 months.

Checkpoint Inhibition Compatibility

ICIs when administered as monotherapy have failed in GBM treatment.9 However, it is anticipated to be an adjuvant with personalized neoantigen-based vaccine, as the new T cell responses disappear owing to T cell exhaustion.23 Keskin et al revealed the expression of co-inhibitory molecules, such as TIM-3, TIGIT, PD-1, CTLA-4, and LAG-3 in combinations of 2 or 3 on T cells, including both CD4+ and CD8+ T cells. A subset of CD8+ tumor-infiltrating T cells were positive for PD-1 post-vaccination, and their levels increased significantly with vaccination in Patients 7 and 8 (p=0.04). GAPVAC-101 also revealed a mild to moderate increase in PD-1 expression on CD8+ T cells to APVAC1 (n=16) and APVAC2 (Patient 14) post-vaccination.

Dexamethasone Effect

Dexamethasone, as required for treating brain edema in patients undergoing chemoradiotherapy, has been shown to cause immunosuppression by impairment of T cell proliferation (CD4+ and CD8+ T cells).24 Keskin et al pointed out the use of dexamethasone as the cause of immune unresponsiveness, as patients (n=6) who had required it for treating side effects were unable to show immunogenicity. One patient in the GAPVAC-101 study (Patient 9) also required high-dose dexamethasone and was not evaluable for immunogenicity.

Discussion

A familiar pattern of development is being observed in vaccination-based immunotherapy to overall advancements in cancer therapeutics—from generalized treatment to more personalized therapy. A series of vaccination regimens targeting three main categories of antigens in GBM, namely, TAAs, TSAs, and tumor lysate, were investigated in several trials, which revealed comparative safety and better efficacy.11 These vaccine protocols included Rindopepimut targeting EGFRvIII (a mutant form of epidermal growth factor receptor present in 20–30% of patients with GBM),25–28 WT-1 vaccine (Wilm’s tumor gene 1) targeting 9-mer modified WT-1 peptide,29–32 SurVaxM targeting survivin (a glioma cell survival protein),33 and a prophage (G 100, G200, Vitespen, Oncophage) targeting the heat shock protein peptide complex (HSPPC-96).34–36 Rindopepimut alone showed superior PFS and/or OS over temozolomide in matched/historical controls in two preliminary trials (ACTIVATE: n=18; ACT II: n=22) but failed to show any improvement in PFS or OS with the addition of temozolomide (ACT III and ACT IV).25–28 WT-1 vaccine trials mainly aimed at safety and clinical response evaluations. The results indicated that WT-1 was safe, with evidence of clinical and humoral responses.29–32 SurVaxM also induces immunogenicity with no safety concerns in recurrent GBM.33 Likewise, HSPPC-96 vaccine also proved its immunogenicity, with improvement in PFS (median 11 to 17.8 months) and OS (median 23.8 to 31.4 months).34–36 Gliovax, a vaccine made from autologous antigens of a patient’s own tumor in combination with allogeneic antigens from other patients with GBM, revealed 100% 6-month OS in a smaller study (n=9) involving recurrent GBM (rGBM).37 Dendritic cell-based vaccines pulsed with tumor autologous lysates or tumor-associated multiple epitopes have also been shown to be safe and efficacious in several Phase I and Phase II studies.38–44 IMA950, a more personalized form of vaccine, was tested using patient-associated antigens found on HLA antigen surface receptors and was also shown to be safe and efficacious.45 A Phase III study evaluating personalized peptide vaccine, the method that was applied in the GAPVAC-101 trial for unmutated antigen (APVAC1) selection, showed safety but no efficacy compared to the control.46 More or less, such vaccines alone or their integration into the SOC have shown safety and, to some extent, better efficacy than SOC alone only in smaller trials, as shown in Table 4.
Table 4

Clinical Trials Assessing Safety, Immunogenicity and Clinical Efficacy of Various Types of Vaccines Alone, in Comparison or Together with Other Standard of Care Therapies in Newly Diagnosed or Recurrent Glioblastoma

StudiesTrial Phase, Design, NCTPopulation SizeVaccine TypeAntigen TypePrimary EndpointsMedian PFS (Months)Median OS (Months)
AVTIVATE25Phase II, multicenter trialN=18, ND-GBMRindopepimut (CDX-110)EGFRvIIIOS, PFS (+)14.226.0 (95% CI, 21.0 to 47.7)
ACT II26Phase II, multicenter trialN=22, ND-GBMRindopepimut (CDX-110)EGFRvIII15.3 (95% CI: 11.0–18.5)23.6 (95% CI: 18.5–33.1
ACT III27Phase II, multicenter trialN=65, ND-GBMRindopepimut (CDX-110)EGFRvIIIPFS (+)9.2 (95% CI: 7.4–11.3)21.8 (95% CI: 17.9–26.5)
ACT IV28Phase III, randomized, double-blind trialN=371, ND-GBMRindopepimut (CDX-110) + TMZEGFRvIIIOS (-)8.0 (95% CI: 7.1, 8.5)20·1 (95% CI: 18·5–22·1)
Izumoto et al (2008)29Phase IIN=21, ND-GBMWT-1 vaccine9-mer modified WT-1 peptideSafety, Clinical response (+)2.8
Hashimoto et al (2015)30Phase IN=7, rGBMWT-1 vaccine9-mer modified WT-1 peptideSafety5.2–49.1
Oji et al (2016)31Phase IIN=59 GBMWT-1 vaccine9-mer modified WT-1 peptideHumoral response (+)1.75.14
Tsuboi et al (2019)32Phase IN=14, rGBM HLA-A*24:02-positiveWT-1 vaccineWT1 HLA class I and II peptides (9-mer modified WT-1 peptide)Safety (+)3.5
Fenstermaker et al (2016)33Phase IN=9, rGBMSurVaxMSurvivinSafety, Immunogenicity (+)2.5112.4
Crane et al (2013)34Phase IN=12, rGBMHSPPC-96 vaccineHeat shock protein peptide complex (HSPPC-96)Safety, OS (+)
Bloch et al (2017)35Phase II, multicenter trial (NCT00905060)N=46, ND-GBMHSPPC-96 vaccineAutologous HSPPC-96OS (+)17.8 (95% CI: 11.3–21.6)23.8 (95% CI: 19.8–30.2)
Ji, n. et al (2018)36Phase I (NCT02122822)N=20, ND-GBMHSPPC-96 vaccineAutologous HSPPC-96Safety, PFS (+)11.0 (95% CI: 8.2–13.8)31.4 (95% CI: 14.9–47.9)
Schijns et al (2015)37Phase IN=9, rGBMGliovacAutologous antigens (patient’ own tissue) plus allogeneic antigens (other glioma patient)Safety (+)NA100% 6-month OS
Liau et al (2005)38Phase IN=12, GBMDC-pulsed autologous vaccineAutologous lysate19.935.8
Prins et al (2011)39Phase I, (NCT00068510)N=23, rGBMDC-pulsed autologous vaccineAutologous lysateSafety (+)15.931.4 months
Inoges et al (2017)40Phase II, clinical trial (NCT01006044)N=32 ND-GBMDC-pulsed autologous vaccineAutologous lysatePFS (+)12.7 (CI 95%: 7–16)23.4 (95% CI 16–33.1)
Buchroithner et al (2018)41Phase II, multi-center, randomized (NCT01213407)N=34 ND-GBMTrivaxAutologous lysatePFS (-)28.4% 12-month PFS564 days, (95% CI: 436–671)
Liau et al (2018)42Phase III, multicenter randomized double-blind trialN=331 ND-GBM (90% received DCVax®-L)DCVax®-LAutologous lysatePFS (+)NA23.1 (95% CI 21.2, 25.4)
Phuphanich et al (2013)43Phase IN=19 ND- and rGBM HLA-A1(+) and/or -A2(+)ICT-107Autologous dendritic cells (DC) pulsed with six synthetic peptide epitopesImmunogenicity (+)16.9 (95% CI: 8.9, 49.8)38.4 (95% CI: 25.9, 40.7)
Wen et al (2019)44Phase II, multicenter randomized double-blind trial (NCT 01280552)N=81 ND-GBMHLA-A1(+) and/or -A2(+)ICT-107Autologous dendritic cells (DC) pulsed with six synthetic peptide epitopesOS (+)11.2 (95% CI: 8.22, 13.05)17.0 (95% CI: 13.6, 20.6)
Rampling et al (2016)45Phase I, clinical trialN=45 ND-GBM HLA-A*02 positiveIMA950 plus GM-CSF11 tumor-associated peptides (TUMAPs)Safety, Tolerability (+)PFS was 74% at 6 months and 31% at 9 months.15.3
Narita et al (2018)46Phase III, multicenter, randomized, double-blind trialN=58HLA-A*24 positive rGBMPersonalized peptide vaccination (PPV)Four of 12 warehouse peptides (ITK-1) selected based on preexisting peptide-specific IgG levelsOS (-)NA8.4 (95% CI: 6.6–10.6)

Abbreviations: NCT, national clinical trial identifier number; PFS, progression free survival; OS, overall survival; ci, confidence interval; ND-GBM, newly diagnosed glioblastoma; RGBM, recurrent glioblastoma; EGFRvIII, epidermal growth factor receptor variant iii; wt-1, wilm’s tumor gene 1; N, number; NA, not available; (+), meeting primary endpoint; (-), failing to meet primary endpoint; HLA-A*02/ HLA-A*24, human leukocyte antigen serotype determined by the antibody recognition of the α2 domain/α24 subset of the HLA-A α-chain.

Clinical Trials Assessing Safety, Immunogenicity and Clinical Efficacy of Various Types of Vaccines Alone, in Comparison or Together with Other Standard of Care Therapies in Newly Diagnosed or Recurrent Glioblastoma Abbreviations: NCT, national clinical trial identifier number; PFS, progression free survival; OS, overall survival; ci, confidence interval; ND-GBM, newly diagnosed glioblastoma; RGBM, recurrent glioblastoma; EGFRvIII, epidermal growth factor receptor variant iii; wt-1, wilm’s tumor gene 1; N, number; NA, not available; (+), meeting primary endpoint; (-), failing to meet primary endpoint; HLA-A*02/ HLA-A*24, human leukocyte antigen serotype determined by the antibody recognition of the α2 domain/α24 subset of the HLA-A α-chain. Neoantigens represent a more personalized cancer treatment and patient-specific vaccination. This vaccination has already shown higher immunogenicity and efficacy in patients with melanoma, which carries a higher mutational burden.47,48 By contrast, GBM represents a less mutation-carrying tumor with low infiltration of intratumoral T cells.23 Therefore, the results of such high immunogenicity and efficacy, particularly in the GAPVAC-101 trial, show promise for this group of patients. HLA-restricted personalized peptide vaccines (APVAC1) as well as neoantigen-containing peptides (APVAC2) showed 50% and 84.7% immunogenicity and, more importantly, 92% and 80% immune responders, respectively. This study also reported a median overall survival of 29 months, which is higher than that reported in a previous study (Table 4). However, this represents a combination of two vaccine strategies applied for the first time. The HLA-restricted personalized peptide vaccine strategy alone failed to demonstrate any efficacy in a phase III trial for patients with GBM.46 Similarly, Keskin et al also applied only neoantigen-based vaccines, which demonstrated immunogenicity in only two of the eight patients and an OS of 16.8 months. These studies included a small number of patients, which makes it difficult to analyze the efficacy outcome; nevertheless, a combined approach may provide a better option warranting further exploration in larger trials. T cell exhaustion through inhibitory checkpoints, such as CTLA-4 (cytotoxic T lymphocyte-associated antigen-4), PD-1 (programmed cell death-1), TIGIT (T cell immunoreceptor with Ig and ITIM domains), and TIM-3 (T cell immunoglobulin domain and mucin domain-3), reflects a post-vaccination scenario for these patients. Both these trials revealed evidence for increased expression of PD-1 on CD8+ T cells (circulating and tumor-infiltrating T cells) post-vaccination.18,19 Although ICIs when administered as monotherapy have failed in patients with GBM, exhausted CD8+ T cells in GBM could provide the rationale for administering ICIs in combination with personalized vaccine. Although two or three of the co-inhibitory receptors (CTLA-4, PD-1, TIGIT, and TIM-3) were expressed on these immune cells, double checkpoint inhibition of nivolumab and ipilimumab was not safe in patients with GBM.9 Somatic mutation load has been correlated with deriving clinical benefit from ICIs in multiple cancers, including NSCLC, melanoma, and colorectal cancers, as previously mentioned.14–17,49 However, in patients with GBM, the mutational/predicted-neoantigen burden was revealed as a biomarker of resistance in a study investigating preclinical efficacy and predictive biomarkers of responsiveness to ICIs.50 Dexamethasone also upregulates the expression of CTLA-4 and PD-1, but only CTLA-4 blockade hinders dexamethasone-induced immunosuppression.51 Hence, the addition of ICIs to SOC and vaccination may prolong the survival outcome of patients with GBM. Nonetheless, immune checkpoint inhibition in GBM is challenging and is under investigation with other SOC modalities.52 There were some inherent limitations that should be taken into account. Dexamethasone administration may have limited the trial by Keskin et al. Dexamethasone induces immunosuppression through depletion of lymphocytes (CD4+ and CD8+ T cells), impairment of T cell proliferation and differentiation, and increase of regulatory T cell proliferation and activation.24,46 Therefore, dexamethasone as an anti-inflammatory drug may have hampered immune responses in patients, as all the patients who needed it for treating side effects were not immune responders. Hence, an in-depth analysis is required to determine the optimum dose of and timing for dexamethasone administration along with chemoimmunotherapy and/or the addition of ICIs. Furthermore, GAPVAC-101 patients received chemoradiotherapy before vaccination, whereas the participants in Keskin et al’s study received only radiotherapy. In Keskin et al’s trial, all patients were MGMT unmethylated, which is predictive of the clinical benefit from TMZ; hence, chemotherapy was not administered in this trial.53 GAPVAC-101 included 28.7% of the patients with hypermethylated GBM. There are several other inherent limitations with systematic reviews; for example, the data were derived from different populations and different clinical centers. Population sizes were very small; therefore, efficacy data in the form of PFS and OS should be interpreted with caution.

Conclusion

The results of these trials represent a landmark event in the vaccination paradigm for patients with GBM. Highly personalized vaccines aimed at unmutated and neoantigens have shown greater immunogenicity and safety profiles. Although survival outcomes, particularly those of the GAPVAC-101 trial, were superior to those of previous studies, further larger trials are required to be undertaken to prove treatment superiority in terms of efficacy, as observed with other vaccination strategies in this group of patients.
  53 in total

1.  Actively personalized vaccination trial for newly diagnosed glioblastoma.

Authors:  Norbert Hilf; Sabrina Kuttruff-Coqui; Katrin Frenzel; Valesca Bukur; Stefan Stevanović; Cécile Gouttefangeas; Michael Platten; Ghazaleh Tabatabai; Valerie Dutoit; Sjoerd H van der Burg; Per Thor Straten; Francisco Martínez-Ricarte; Berta Ponsati; Hideho Okada; Ulrik Lassen; Arie Admon; Christian H Ottensmeier; Alexander Ulges; Sebastian Kreiter; Andreas von Deimling; Marco Skardelly; Denis Migliorini; Judith R Kroep; Manja Idorn; Jordi Rodon; Jordi Piró; Hans S Poulsen; Bracha Shraibman; Katy McCann; Regina Mendrzyk; Martin Löwer; Monika Stieglbauer; Cedrik M Britten; David Capper; Marij J P Welters; Juan Sahuquillo; Katharina Kiesel; Evelyna Derhovanessian; Elisa Rusch; Lukas Bunse; Colette Song; Sandra Heesch; Claudia Wagner; Alexandra Kemmer-Brück; Jörg Ludwig; John C Castle; Oliver Schoor; Arbel D Tadmor; Edward Green; Jens Fritsche; Miriam Meyer; Nina Pawlowski; Sonja Dorner; Franziska Hoffgaard; Bernhard Rössler; Dominik Maurer; Toni Weinschenk; Carsten Reinhardt; Christoph Huber; Hans-Georg Rammensee; Harpreet Singh-Jasuja; Ugur Sahin; Pierre-Yves Dietrich; Wolfgang Wick
Journal:  Nature       Date:  2018-12-19       Impact factor: 49.962

2.  Preclinical efficacy of immune-checkpoint monotherapy does not recapitulate corresponding biomarkers-based clinical predictions in glioblastoma.

Authors:  Abhishek D Garg; Lien Vandenberk; Matthias Van Woensel; Jochen Belmans; Marco Schaaf; Louis Boon; Steven De Vleeschouwer; Patrizia Agostinis
Journal:  Oncoimmunology       Date:  2017-03-03       Impact factor: 8.110

3.  Genetic basis for clinical response to CTLA-4 blockade in melanoma.

Authors:  Alexandra Snyder; Vladimir Makarov; Taha Merghoub; Jianda Yuan; Jedd D Wolchok; Timothy A Chan; Jesse M Zaretsky; Alexis Desrichard; Logan A Walsh; Michael A Postow; Phillip Wong; Teresa S Ho; Travis J Hollmann; Cameron Bruggeman; Kasthuri Kannan; Yanyun Li; Ceyhan Elipenahli; Cailian Liu; Christopher T Harbison; Lisu Wang; Antoni Ribas
Journal:  N Engl J Med       Date:  2014-11-19       Impact factor: 91.245

4.  Phase II study of concurrent radiation therapy, temozolomide, and bevacizumab followed by bevacizumab/everolimus as first-line treatment for patients with glioblastoma.

Authors:  John D Hainsworth; Kent C Shih; Gregg C Shepard; Guy W Tillinghast; Brett T Brinker; David R Spigel
Journal:  Clin Adv Hematol Oncol       Date:  2012-04

Review 5.  Preclinical and clinical development of neoantigen vaccines.

Authors:  L Li; S P Goedegebuure; W E Gillanders
Journal:  Ann Oncol       Date:  2017-12-01       Impact factor: 32.976

6.  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

7.  Patterns of relapse in glioblastoma multiforme following concomitant chemoradiotherapy with temozolomide.

Authors:  J Sherriff; J Tamangani; L Senthil; G Cruickshank; D Spooner; B Jones; C Brookes; P Sanghera
Journal:  Br J Radiol       Date:  2013-02       Impact factor: 3.039

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.  First results on survival from a large Phase 3 clinical trial of an autologous dendritic cell vaccine in newly diagnosed glioblastoma.

Authors:  Linda M Liau; Keyoumars Ashkan; David D Tran; Jian L Campian; John E Trusheim; Charles S Cobbs; Jason A Heth; Michael Salacz; Sarah Taylor; Stacy D D'Andre; Fabio M Iwamoto; Edward J Dropcho; Yaron A Moshel; Kevin A Walter; Clement P Pillainayagam; Robert Aiken; Rekha Chaudhary; Samuel A Goldlust; Daniela A Bota; Paul Duic; Jai Grewal; Heinrich Elinzano; Steven A Toms; Kevin O Lillehei; Tom Mikkelsen; Tobias Walbert; Steven R Abram; Andrew J Brenner; Steven Brem; Matthew G Ewend; Simon Khagi; Jana Portnow; Lyndon J Kim; William G Loudon; Reid C Thompson; David E Avigan; Karen L Fink; Francois J Geoffroy; Scott Lindhorst; Jose Lutzky; Andrew E Sloan; Gabriele Schackert; Dietmar Krex; Hans-Jorg Meisel; Julian Wu; Raphael P Davis; Christopher Duma; Arnold B Etame; David Mathieu; Santosh Kesari; David Piccioni; Manfred Westphal; David S Baskin; Pamela Z New; Michel Lacroix; Sven-Axel May; Timothy J Pluard; Victor Tse; Richard M Green; John L Villano; Michael Pearlman; Kevin Petrecca; Michael Schulder; Lynne P Taylor; Anthony E Maida; Robert M Prins; Timothy F Cloughesy; Paul Mulholland; Marnix L Bosch
Journal:  J Transl Med       Date:  2018-05-29       Impact factor: 5.531

Review 10.  Personalized cancer neoantigen vaccines come of age.

Authors:  Yanhong Chu; Qin Liu; Jia Wei; Baorui Liu
Journal:  Theranostics       Date:  2018-07-30       Impact factor: 11.556

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