PO.CL05.07 · 临床研究
AI设计的个性化新抗原疫苗EVX-01可在晚期黑色素瘤患者中诱导持久的从头T细胞反应
AI-designed personalized neoantigen vaccine, EVX-01, induces durable de novo T-cell responses in advanced melanoma patients
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
癌症疫苗近期已成为颇具前景的抗癌疗法,通过刺激靶向抗肿瘤免疫来补充免疫检查点阻断。其疗效关键取决于纳入能够引发强效、癌症特异性T细胞反应的肿瘤抗原。为实现这一目标,Evaxion开发了专有的AI-Immunology™平台,以识别高免疫原性的肿瘤抗原,并基于患者特异性测序数据设计个性化癌症疫苗,针对最大化免疫激活进行优化。该AI平台识别肿瘤突变组中的体细胞突变和插入缺失,综合考虑肿瘤表达、克隆性和HLA缺失,以筛选出免疫原性潜力最高的新抗原。EVX-01是该AI平台生成的首个候选疫苗,在一项针对晚期黑色素瘤的2期临床研究(NCT05309421)中进行了评估。EVX-01与pembrolizumab联合给药,此前设有12周以pembrolizumab单药治疗的导入期。患者共接受10剂EVX-01,分为6次初免和4次加强免疫。主要终点为基于RECIST 1.1的客观缓解率(ORR)改善。为进行免疫原性和生物标志物分析,在治疗前、治疗中和治疗后采集外周血并处理为外周血单个核细胞(PBMC)。通过干扰素-γ ELISpot以及胞内细胞因子染色和流式细胞术评估疫苗特异性T细胞反应,均在离体(ex vivo)和体外刺激后进行。测试非疫苗抗原以研究潜在的表位扩展。在两年读出时,总体队列的ORR为75%(12/16)。在缓解者中,92%(11/12)在24个月随访时仍持续缓解。该治疗耐受性良好,生产成功率为100%。此外,在13例经12周pembrolizumab诱导后达到疾病稳定(SD)或部分缓解(PR)的患者中,54%(7/13)在启动EVX-01后加深了缓解。最终免疫原性分析显示,EVX-01初免在15例可评估患者中诱导出强效的疫苗特异性T细胞反应,加强剂量将反应强度维持至第102周的最后一次评估。CD4+和CD8+ T细胞均对反应有贡献,以CD4+ T细胞为主。84%的受测新抗原引发了特异性免疫反应,且AI-Immunology™平台赋予的免疫原性评分与T细胞反应性的强度相关。总之,AI-Immunology™平台能够有效识别高免疫原性新抗原,设计出可制造、安全且具有药效学活性的个性化癌症疫苗。与PD-1阻断联合,EVX-01实现了75%的ORR,并在所有接受治疗的患者中诱导出持久的疫苗特异性T细胞免疫,验证了该平台的预测精准性。
查看英文原文 English abstract
Cancer vaccines have recently emerged as promising anti-cancer therapies that complement immune checkpoint blockade by stimulating targeted anti-tumor immunity. Their efficacy critically depends on including tumor antigens that can elicit a potent, cancer-specific T-cell response. To achieve this, Evaxion developed the proprietary AI-Immunology™ platform to identify highly immunogenic tumor antigens and design personalized cancer vaccines based on patient-specific sequencing data, optimized for maximal immune activation.The AI-platform identifies somatic mutations and indels in the tumor mutanome, considering tumor expression, clonality and HLA loss to select neoantigens with highest immunogenic potential. EVX-01, the first vaccine candidate generated from this AI-platform, was evaluated in a phase 2 clinical study (NCT05309421) in advanced melanoma. EVX-01 was administered in combination with pembrolizumab, following a 12-week run-in period with pembrolizumab as monotherapy. Patients received in total 10 EVX-01 doses, split into 6 priming and 4 booster immunizations. Primary endpoint was RECIST 1.1-based response improvement of the objective response rate (ORR). For immunogenicity and biomarker analysis peripheral blood was collected before, during and after treatment and processed to peripheral blood mononuclear cells (PBMC). Vaccine-specific T-cell responses were assessed by Interferon-gamma ELISpot and intracellular cytokine staining and flow cytometry, both ex vivo and after in vitro stimulation. Non-vaccine antigens were tested to investigate potential epitope spreading. At the two-year read out, the ORR was 75% (12/16) in the overall cohort. Of the responders, 92% (11/12) continued to respond at 24 month follow up. The treatment was well-tolerated, and the manufacturing success rate was 100%. Additionally, of 13 patients with stable disease (SD) or partial response (PR) after a the 12-week pembrolizumab induction, 54% (7/13) deepened the response upon initiation of EVX-01. The final immunogenicity analysis showed that EVX-01 priming induced strong vaccine-specific T-cell responses in the 15 assessable patients, with booster doses sustaining response magnitudes until last assessment at week 102. Both CD4+ and CD8+ T cells contributed to the response, with CD4+ T cells predominating. 84% of tested neoantigens elicited a specific immune response and AI-Immunology™ platform-assigned immunogenicity scores correlated with the magnitude of T-cell reactivity. In conclusion, the AI-Immunology™ platform can effectively identify highly immunogenic neoantigens, design manufacturable and safe personalized cancer vaccines with pharmacodynamic activity. Combined with PD-1 blockade, EVX-01 achieves a 75% ORR and induces durable, vaccine-specific T-cell immunity in all treated patients, validating the platforms predictive precision.
利益披露 Disclosure
M. Lausen,
Evaxion A/S Employment, Stock Option.
M. Angelos Pavlidis,
Evaxion A/S Employment, Stock Option.
O. Rasmus,
Evaxion A/S Employment, Stock Option.
T. Nikolas,
Evaxion A/S Employment, Stock Option.
N. Viborg,
Evaxion A/S Employment, Stock Option.
G. V. Long, None..
A. Khattak, None..
P. Ascierto, None..
C. Cimminiello, None.
T. Trolle,
Evaxion A/S Employment, Stock Option.
C. Garde,
Evaxion A/S Employment, Stock Option.
B. Wolthers,
Evaxion A/S Employment, Stock Option.
S. Friis Thorsen,
Evaxion A/S Employment, Stock Option.
B. Rønø,
Evaxion A/S Employment, Stock Option.
D. Kleine-Kohlbrecher,
Evaxion Employment, Stock Option.