Abstract B124: Personalized peptide vaccination based on patient-individual tumor-specific variants induces T-cell responses in pediatric patients

A. Rabsteyn, C. Kyzirakos, C. Schroeder, M. Sturm, C. Mohr, Jakob Matthes, M. Feldhahn, Nicolas Casadei, M. Ebinger, S. Stevanović, P. Bauer, O. Kohlbacher, C. Gouttefangeas, J. Schaefer, H. Rammensee, R. Handgretinger, P. Lang
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These single-nucleotide variants (SNVs) can lead to altered amino acid sequences of the translated proteins, which in turn can be presented by malignant cells as antigenic peptides on HLA molecules. A peptide vaccination to induce neoantigen-specific T-cell responses, therefore, is a promising and versatile immunotherapeutic approach for the treatment of malignant diseases. Such approaches were predominantly applied in malignancies with high mutational load in adult patients until now. We developed a vaccine design platform based on sequencing data generated from a cohort of acute lymphoblastic leukemia (ALL) patients and tested individualized peptide vaccines in pediatric patients suffering from a variety of tumors with low mutational profiles. Methods: Nonsynonymous mutations were identified by whole-exome and transcriptome sequencing of patient leukemic blasts and healthy reference tissue. HLA binding peptides harboring the altered amino acids were subsequently predicted in silico by algorithms SYFPEITHI, NetMHC and NetMHCpan for the patients’ individual HLA type. Individual peptides for treatment attempts were produced by chemical synthesis and vaccination cocktails were formulated. The vaccination schedule was 16 vaccinations over 33 weeks using GM-CSF and Imiquimod as adjuvants. Some patients received simultaneous checkpoint blockade treatment with pembrolizumab or nivolumab. Response to the vaccination was monitored by detection of T-cells recognizing the vaccinated peptides occurring over time in peripheral blood of the patients. Monitoring was performed for each vaccination time point by pre-stimulation with the peptides and subsequent intracellular cytokine staining (ICS) of T-cells and FACS analysis. Results: Whole-exome sequencing was performed for 25 patients to identify ALL-specific SNVs using a comparative bioinformatics pipeline. We found an average of 39.2 mutations per patient on DNA level, with an average validation rate of 47% by RNA sequencing. Based on these data, an average of 35.1 HLA binders could be predicted per patient. We applied our platform for 6 patients with various malignancies based on compassionate need and designed individual peptide vaccines. In all cases validated mutations could be identified and epitope prediction was performed for HLA Class I and II binders. In 6/6 patients a de novo induced T-cell response against the vaccinated mutated HLA-binding peptides was detectable. Combination therapy with PD-1 blockade and peptide vaccination was well tolerated. T-cell responses were predominantly, but not exclusively, CD4+-restricted. Encouraged by these findings, we started a phase I/II clinical trial in patients with primary/relapsed ALL with the aim to prevent relapse and show safety and immunogenicity of the personalized peptide vaccine. Conclusions: We established a platform for the design of patient-individual peptide vaccination cocktails by combination of whole exome sequencing of tumor and normal tissue with in silico epitope prediction algorithms for individual patient HLA types. Whole-exome sequencing of pediatric ALL patients is feasible and yields a small amount of tumor-specific mutations per patient. However, these few mutations are sufficient to predict HLA-binding peptides that are immunogenic when vaccinated and elicit specific T-cell responses in patients. The universal character of individualized peptide vaccination allows for application in virtually any malignant disease, as well as combination therapy approaches. The concept is now translated to clinical application in a phase I/II clinical trial in ALL, started in 2016 (NCT03559413). Citation Format: Armin Rabsteyn, Christina Kyzirakos, Christopher Schroeder, Marc Sturm, Christopher Mohr, Jakob Matthes, Magdalena Feldhahn, Nicolas Casadei, Martin Ebinger, Stefan Stevanovic, Peter Bauer, Oliver Kohlbacher, Cecile Gouttefangeas, Juergen Schaefer, Hans-Georg Rammensee, Rupert Handgretinger, Peter Lang. Personalized peptide vaccination based on patient-individual tumor-specific variants induces T-cell responses in pediatric patients [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. 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引用次数: 2

Abstract

Background: We established a platform for the design of patient-individual peptide vaccination cocktails by combination of whole exome sequencing of tumor and normal tissue with in silico epitope prediction algorithms for individual patient HLA types. Accumulation of somatic mutations is one characteristic feature of malignanT-cells. These single-nucleotide variants (SNVs) can lead to altered amino acid sequences of the translated proteins, which in turn can be presented by malignant cells as antigenic peptides on HLA molecules. A peptide vaccination to induce neoantigen-specific T-cell responses, therefore, is a promising and versatile immunotherapeutic approach for the treatment of malignant diseases. Such approaches were predominantly applied in malignancies with high mutational load in adult patients until now. We developed a vaccine design platform based on sequencing data generated from a cohort of acute lymphoblastic leukemia (ALL) patients and tested individualized peptide vaccines in pediatric patients suffering from a variety of tumors with low mutational profiles. Methods: Nonsynonymous mutations were identified by whole-exome and transcriptome sequencing of patient leukemic blasts and healthy reference tissue. HLA binding peptides harboring the altered amino acids were subsequently predicted in silico by algorithms SYFPEITHI, NetMHC and NetMHCpan for the patients’ individual HLA type. Individual peptides for treatment attempts were produced by chemical synthesis and vaccination cocktails were formulated. The vaccination schedule was 16 vaccinations over 33 weeks using GM-CSF and Imiquimod as adjuvants. Some patients received simultaneous checkpoint blockade treatment with pembrolizumab or nivolumab. Response to the vaccination was monitored by detection of T-cells recognizing the vaccinated peptides occurring over time in peripheral blood of the patients. Monitoring was performed for each vaccination time point by pre-stimulation with the peptides and subsequent intracellular cytokine staining (ICS) of T-cells and FACS analysis. Results: Whole-exome sequencing was performed for 25 patients to identify ALL-specific SNVs using a comparative bioinformatics pipeline. We found an average of 39.2 mutations per patient on DNA level, with an average validation rate of 47% by RNA sequencing. Based on these data, an average of 35.1 HLA binders could be predicted per patient. We applied our platform for 6 patients with various malignancies based on compassionate need and designed individual peptide vaccines. In all cases validated mutations could be identified and epitope prediction was performed for HLA Class I and II binders. In 6/6 patients a de novo induced T-cell response against the vaccinated mutated HLA-binding peptides was detectable. Combination therapy with PD-1 blockade and peptide vaccination was well tolerated. T-cell responses were predominantly, but not exclusively, CD4+-restricted. Encouraged by these findings, we started a phase I/II clinical trial in patients with primary/relapsed ALL with the aim to prevent relapse and show safety and immunogenicity of the personalized peptide vaccine. Conclusions: We established a platform for the design of patient-individual peptide vaccination cocktails by combination of whole exome sequencing of tumor and normal tissue with in silico epitope prediction algorithms for individual patient HLA types. Whole-exome sequencing of pediatric ALL patients is feasible and yields a small amount of tumor-specific mutations per patient. However, these few mutations are sufficient to predict HLA-binding peptides that are immunogenic when vaccinated and elicit specific T-cell responses in patients. The universal character of individualized peptide vaccination allows for application in virtually any malignant disease, as well as combination therapy approaches. The concept is now translated to clinical application in a phase I/II clinical trial in ALL, started in 2016 (NCT03559413). Citation Format: Armin Rabsteyn, Christina Kyzirakos, Christopher Schroeder, Marc Sturm, Christopher Mohr, Jakob Matthes, Magdalena Feldhahn, Nicolas Casadei, Martin Ebinger, Stefan Stevanovic, Peter Bauer, Oliver Kohlbacher, Cecile Gouttefangeas, Juergen Schaefer, Hans-Georg Rammensee, Rupert Handgretinger, Peter Lang. Personalized peptide vaccination based on patient-individual tumor-specific variants induces T-cell responses in pediatric patients [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr B124.
B124:基于患者个体肿瘤特异性变异的个性化肽疫苗接种可诱导儿科患者的t细胞反应
背景:我们将肿瘤和正常组织的全外显子组测序与患者个体HLA类型的计算机表位预测算法相结合,建立了患者-个体肽疫苗鸡尾酒的设计平台。体细胞突变的积累是恶性抗细胞的一个特征。这些单核苷酸变异(snv)可导致翻译蛋白的氨基酸序列改变,进而可作为HLA分子上的抗原肽在恶性细胞中呈现。因此,肽疫苗接种诱导新抗原特异性t细胞反应,是一种有前途的多功能免疫治疗方法,用于治疗恶性疾病。到目前为止,这种方法主要应用于成年患者高突变负荷的恶性肿瘤。我们开发了一个基于急性淋巴细胞白血病(ALL)患者队列测序数据的疫苗设计平台,并在患有各种低突变谱肿瘤的儿科患者中测试了个体化肽疫苗。方法:通过白血病患者原细胞和健康对照组织的全外显子组和转录组测序鉴定非同义突变。随后,通过SYFPEITHI、NetMHC和NetMHCpan算法对患者个体HLA类型的HLA结合肽进行了计算机预测。用于治疗尝试的个别肽通过化学合成和疫苗鸡尾酒配制。接种计划是在33周内使用GM-CSF和咪喹莫特作为佐剂接种16次疫苗。一些患者同时接受了派姆单抗或纳武单抗检查点阻断治疗。通过检测t细胞识别随时间在患者外周血中发生的接种疫苗肽来监测对疫苗的反应。通过肽预刺激和随后的t细胞胞内细胞因子染色(ICS)和FACS分析,对每个接种时间点进行监测。结果:使用比较生物信息学管道对25例患者进行了全外显子组测序,以鉴定all特异性snv。我们发现每位患者在DNA水平上平均有39.2个突变,RNA测序的平均验证率为47%。根据这些数据,平均每个患者可以预测35.1个HLA结合物。我们将我们的平台应用于6名不同恶性肿瘤的患者,并基于同情需求设计了个体肽疫苗。在所有病例中,都可以鉴定出验证突变,并对HLA I类和II类结合物进行表位预测。在6/6的患者中,可检测到针对接种的突变hla结合肽的新生诱导t细胞应答。PD-1阻断和肽疫苗联合治疗耐受性良好。t细胞反应主要(但不完全)受CD4+限制。受这些发现的鼓舞,我们在原发性/复发性ALL患者中开始了I/II期临床试验,目的是预防复发,并显示个性化肽疫苗的安全性和免疫原性。结论:将肿瘤和正常组织的全外显子组测序与个体HLA抗原表位预测算法相结合,建立了患者-个体肽疫苗鸡尾酒的设计平台。儿科ALL患者的全外显子组测序是可行的,并且每个患者产生少量的肿瘤特异性突变。然而,这些少数突变足以预测接种疫苗后具有免疫原性的hla结合肽,并在患者中引起特异性t细胞反应。个体化肽疫苗的普遍特点允许应用于几乎任何恶性疾病,以及联合治疗方法。该概念现已在2016年开始的ALL I/II期临床试验中转化为临床应用(NCT03559413)。引文格式:Armin Rabsteyn、Christina Kyzirakos、Christopher Schroeder、Marc Sturm、Christopher Mohr、Jakob Matthes、Magdalena Feldhahn、Nicolas Casadei、Martin Ebinger、Stefan Stevanovic、Peter Bauer、Oliver Kohlbacher、Cecile Gouttefangeas、Juergen Schaefer、Hans-Georg Rammensee、Rupert Handgretinger、Peter Lang。基于患者个体肿瘤特异性变异的个性化肽疫苗接种可诱导儿科患者的t细胞反应[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志2019;7(2增刊):摘要nr B124。
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