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Comparison of personal and shared frameshift neoantigen vaccines in a mouse mammary cancer model

机译:小鼠乳腺癌模型中个人和共用框架新稻垣疫苗的比较

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It is widely hoped that personal cancer vaccines will extend the number of patients benefiting from checkpoint and other immunotherapies. However, it is clear creating such vaccines will be challenging. It requires obtaining and sequencing tumor DNA/RNA, predicting potentially immunogenic neoepitopes and manufacturing a one-use vaccine. This process takes time and considerable cost. Importantly, most mutations will not produce an immunogenic peptide and many patient’s tumors do not contain enough DNA mutations to make a vaccine. We have discovered that frameshift peptides (FSP) created from errors in the production of RNA rather than from DNA mutations are potentially a rich source of neoantigens for cancer vaccines. These errors are predictable, enabling the production of a FSP microarray. Previously we found that these microarrays can identify both personal and shared neoantigens. Here, we compared the performance of personal cancer vaccines (PCVs) with that of a shared antigen vaccine, termed Frameshift Antigen Shared Therapeutic (FAST) vaccine, using the 4?T1 breast cancer model. Sera from 4?T1-tumor bearing mice were assayed on the peptide microarray containing 200 Fs neoantigens, for the PCV, the top 10 candidates were select and personal vaccines constructed and administrated to the respective mice. For the FAST, we selected the top 10 candidates with higher prevalence among all the mice challenged. Seven to 12?days challenged mice were immunized, combined or not with immune checkpoint inhibitor (ICI) (αPD-L1 and αCTLA-4). Primary and secondary tumor clearance and growth were evaluated as well as cellular and humoral immune response against the vaccine targets by IFN-γ ELISPOT and ELISA. Lastly, we analyzed the immune response of the FAST-vaccinated mice by flow cytometry in comparison to the control group. We found that PCVs and FAST vaccines both reduced primary tumor incidence and growth as well as lung metastases when delivered as monotherapies or in combination with ICI. Additionally, the FAST vaccine induces a robust and effective T-cell response. These results suggest that FSPs produced from RNA-based errors are potent neoantigens that could enable production of off-the-shelf shared antigen vaccines for solid tumors with efficacy comparable to that of PCVs.
机译:众所周知,个人癌症疫苗将延长受益于检查点和其他免疫疗法的患者的数量。但是,很明显创造这些疫苗将具有挑战性。它需要获得和测序肿瘤DNA / RNA,预测潜在的免疫原性新脑,并制造一次使用疫苗。这个过程需要时间和相当大的成本。重要的是,大多数突变不会产生免疫原性肽,许多患者的肿瘤不含足够的DNA突变以制备疫苗。我们已经发现,从RNA的产生而不是DNA突变产生的误差肽(FSP)是癌症疫苗的丰富新抗原源。这些错误是可预测的,可以生产FSP微阵列。以前我们发现这些微阵列可以识别个人和共享的新奥地利格。在这里,我们将使用4〜T1乳腺癌模型的分享抗原疫苗的个人癌症疫苗(PCV)与共用抗原疫苗的性能进行了比较了抗原抗原共用治疗(快速)疫苗。在含有200fs新抗原的肽微阵列中测定来自4〜T1肿瘤轴承小鼠的血清,对于PCV,前10名候选者选择和构建并施用于各个小鼠的个人疫苗。为了快速,我们在挑战所有小鼠中选择了前十名候选人,患有更高的患病率。七到12个?天挑战小鼠被免疫,组合与免疫检查点抑制剂(ICI)(αpd-l1和αctla-4)组合。评估初级和继发性肿瘤间隙和生长,以及IFN-γELISPOT和ELISA对疫苗靶标的细胞和体液免疫应答。最后,与对照组相比,我们通过流式细胞术分析了快速疫苗的小鼠的免疫应答。我们发现PCV和快速疫苗减少原发性肿瘤发病率和生长以及肺转移时,当单向或与ICI组合交付时。另外,快速疫苗诱导稳健且有效的T细胞反应。这些结果表明,基于RNA的误差产生的FSP是有效的新抗原,其能够为实体肿瘤的固体肿瘤产生外包的共用抗原疫苗,其有效性与PCV相当。

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