PO.IM01.03 · 免疫学
gammadelta T细胞在用于三阴性乳腺癌的新型病毒样颗粒疫苗中的临床前潜力
Preclinical potential of gammadelta T cells in novel virus-like particle vaccines for triple-negative breast cancer
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
三阴性乳腺癌(TNBC)是一种侵袭性亚型,治疗选择有限、复发率高且预后不良。标准治疗策略中的常规治疗未能为这些患者带来长期获益。使用病毒样颗粒(VLP)的个性化癌症疫苗代表了一种有前景的策略,有潜力诱导持久的免疫应答。近期研究凸显了gammadelta T细胞的固有和适应性特性,强调了其在癌症免疫治疗中的潜力。然而,VLP如何与gammadelta T细胞相互作用,以及其增强抗肿瘤活性的临床疗效仍知之甚少,需要进一步研究。我们设计并开发了新型下一代VLP,经工程改造以纳入细胞佐剂化的固有配体,并在其表面呈递来自TNBC临床前模型的肿瘤新抗原。我们通过冷冻电镜(Cryo-EM)和生化实验对其进行了验证。我们在野生型和转基因小鼠中通过透射成像技术评估了VLP与gammadelta T细胞的相互作用。在4T1 TNBC模型中开展了体内肿瘤实验。我们比较了三种皮下(s.c.)给药途径:全身给药、靶向肿瘤引流淋巴结(tdLN)和靶向非tdLN。在不同剂量和免疫检查点抑制剂联合治疗下评估存活情况。清除CD4、CD8和gammadelta T细胞以确定其贡献。我们进行了免疫组化、流式细胞术和RNA-seq分析以评估免疫应答。我们的结果显示,gammadelta T细胞在野生型小鼠中有效吞噬了VLP,而在缺乏固有免疫感知通路关键组分的转基因小鼠中这种相互作用受到阻碍。我们的新型VLP在tdLN中扩增了gammadelta T细胞,促进了抗肿瘤亚群和表型。亚型分析揭示了gammadelta T细胞亚群Vgamma-1和Vgamma-4的不同活化谱。对tdLN和肿瘤的评估揭示了gammadelta T细胞的早期扩增,凸显了其固有特性。清除gammadelta T细胞消除了免疫治疗的抗肿瘤疗效,提示其适应性特性。此外,尽管肿瘤突变负荷较低,我们的个性化疫苗仍增强了CD4、CD8和gammadelta T细胞的肿瘤浸润,增加了细胞毒性标志物,减少了复发和转移,并改善了存活。我们的发现揭示了gammadelta T细胞响应我们负载多样固有免疫刺激物并呈递来自4T1细胞肿瘤新抗原的下一代VLP时的新型固有和适应性特性。这些发现有潜力通过利用gammadelta T细胞作为抗肿瘤免疫的关键参与者,重塑癌症疫苗领域。
(AI工具仅用于改善本摘要文本的清晰度。所有内容均经作者审阅和核实。)
查看英文原文 English abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options, high recurrence rates and poor outcomes. The conventional treatment among the standard of care strategies fail to elicit a long-term benefit for these patients. Personalized cancer vaccines using virus-like particles (VLPs), represent a promising strategy with the potential to induce durable immune responses. Recent research has highlighted the innate and adaptive properties of gammadelta T cells, underscoring their potential in cancer immunotherapy. However, how VLPs interact with gammadelta T cells, and their clinical efficacy to enhance their antitumor activity remains poorly understood and requires further investigation. We designed and developed novel next-generation VLPs engineered to incorporate cell-adjuvanted innate ligands and present tumor-neoantigens on their surface from a preclinical model of TNBC. We validated them by Cryo-EM and biochemical assays. We evaluated the interaction of VLPs with gammadelta T cells in wildtype and transgenic mice by transmission imaging techniques. Tumor in vivo experimentation was carried out in the 4T1 TNBC model. We compared three subcutaneous (s.c.) administration routes: systemic, targeting tumor-draining lymph nodes (tdLNs), and targeting non-tdLNs. Survival was assessed under different dosing and immune checkpoint inhibitor co-treatment. CD4, CD8, and gammadelta T cells were depleted to determine their contributions. We performed immunohistochemistry, flow cytometry, and RNA-seq analysis to evaluate the immune response. Our results show that gammadelta T cells efficiently engulfed VLPs in wild-type mice while this interaction is hindered in transgenic mice lacking key components of innate immune sensing pathways. Our novel VLPs expanded gammadelta T cells in tdLNs, promoting antitumor subsets and phenotypes. Subtype analysis revealed distinct activation profiles of gammadelta T cells subsets Vgamma-1 and Vgamma-4. Evaluation of tdLNs and tumors revealed early expansion of gammadelta T cells, highlighting innate properties. Depletion of gammadelta T cells abolished antitumor efficacy of the immunotherapy, suggesting adaptive properties. Furthermore, our personalized vaccine enhanced tumor infiltration of CD4, CD8 and gammadelta T cells, increased cytotoxic markers, reduced recurrence and metastasis, and improved survival despite low tumor mutational burden. Our findings reveal novel innate and adaptive properties of gammadelta T cells in response to our next-generation VLPs loaded with diverse innate immune stimuli and presenting tumor-neoantigens from 4T1 cells. These findings have the potential to reshape the field of cancer vaccines by harnessing gammadelta T cells as key players in anti-tumor immunity.
( AI tools were used only to improve the clarity of the text in this abstract. All content was reviewed and verified by the authors. )
利益披露 Disclosure
A. Solé Casaramona, None..
A. Ghimire, None..
R. Josi, None.
S. Marar,
DeepVax Employment.
A. Ogriņa-Komarova, None..
S. De Brot, None..
C. Wang, None..
D. Wiggins, None..
W. Liu, None..
S. Kumar Kottarath, None.
M. F. Bachmann,
DeepVax Other Business Ownership.
M. O. Mohsen,
DeepVax Other Business Ownership.