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利用大数据生存信息统一多发性骨髓瘤相关的风险分层、适应性免疫受体参数。

Exploiting big data survival information to unify risk-stratification related, adaptive immune receptor parameters for multiple myeloma.

机构信息

Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.

Department of Pediatrics, Oregon Health and Science University Hospital, Portland, OR, 97239, USA.

出版信息

Genes Immun. 2023 Aug;24(4):194-199. doi: 10.1038/s41435-023-00212-z. Epub 2023 Jul 13.

DOI:10.1038/s41435-023-00212-z
PMID:37443300
Abstract

With the improvement of treatment options, multiple myeloma related life expectancy has been prolonged, but the disease remains largely incurable. Immunotherapy is a growing field that shows promise in advancements for treatment, and recent work has demonstrated an opportunity to use immune receptor, complementarity determining region-3 (CDR3)-candidate antigen chemical complementarity scores to identify survival distinctions among subgroups of patients. Here, we have applied the complementarity scoring algorithm to identify multiple myeloma related, CDR3-cancer testis antigen (CTA) relationships associated with survival distinctions. Furthermore, we have overlapped these immune receptor features with a previous study that showed a dramatic survival distinction based on T-cell receptor, V- and J-gene segment usage, HLA allele combinations, whereby 100% of the patients in certain combination groups had no mortality related to multiple myeloma, during the study period. This overlap evaluation was consistent with the idea that there are likely considerable constraints on productive TRB-antigen-HLA combinations but more flexibility, and unpredictability, for the TRA-antigen-HLA combinations. Also, the approaches in this reported indicated the potential importance of the CTA, IGSF11, as a multiple myeloma antigen, an antigen previously, independently considered as a vaccine candidate in other settings.

摘要

随着治疗选择的改善,多发性骨髓瘤相关的预期寿命已经延长,但该疾病仍然基本上无法治愈。免疫疗法是一个不断发展的领域,在治疗进展方面显示出前景,最近的工作表明有机会利用免疫受体、互补决定区 3(CDR3)-候选抗原化学互补评分来识别患者亚组之间的生存差异。在这里,我们应用了互补评分算法来识别与生存差异相关的多发性骨髓瘤相关的 CDR3-癌症睾丸抗原(CTA)关系。此外,我们还将这些免疫受体特征与之前的一项研究进行了重叠,该研究表明基于 T 细胞受体、V 和 J 基因片段使用、HLA 等位基因组合的显著生存差异,在研究期间,某些组合组的 100%患者与多发性骨髓瘤无关死亡率。这种重叠评估与以下观点一致,即 productive TRB-antigen-HLA 组合可能存在相当大的限制,但对于 TRA-antigen-HLA 组合,则具有更大的灵活性和不可预测性。此外,本报告中所述的方法表明 CTA、IGSF11 作为多发性骨髓瘤抗原的重要性,该抗原以前在其他环境中被独立认为是疫苗候选物。

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本文引用的文献

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Chemical complementarity between tumor resident, T-cell receptor CDR3s and MAGEA3/6 correlates with increased melanoma survival: Potential relevance to MAGE vaccine auto-reactivity.肿瘤驻留细胞、T 细胞受体 CDR3 与 MAGEA3/6 之间的化学互补性与黑色素瘤患者生存时间延长相关:与 MAGE 疫苗自身反应性的潜在相关性。
Mol Immunol. 2022 Oct;150:58-66. doi: 10.1016/j.molimm.2022.08.001. Epub 2022 Aug 17.
2
Dual TCR-α Expression on Mucosal-Associated Invariant T Cells as a Potential Confounder of TCR Interpretation.黏膜相关不变 T 细胞上的双重 TCR-α 表达可能会对 TCR 解释造成干扰。
J Immunol. 2022 Mar 15;208(6):1389-1395. doi: 10.4049/jimmunol.2100275. Epub 2022 Mar 4.
3
T cell receptors employ diverse strategies to target a p53 cancer neoantigen.
T 细胞受体采用多种策略靶向 p53 癌症新抗原。
J Biol Chem. 2022 Mar;298(3):101684. doi: 10.1016/j.jbc.2022.101684. Epub 2022 Feb 3.
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Novel immunotherapies in multiple myeloma - chances and challenges.新型免疫疗法在多发性骨髓瘤中的应用——机遇与挑战。
Haematologica. 2021 Oct 1;106(10):2555-2565. doi: 10.3324/haematol.2020.266858.
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Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction.T 细胞受体α和β CDR3、MHC 分型、V 和 J 基因对肽结合预测的贡献。
Front Immunol. 2021 Apr 26;12:664514. doi: 10.3389/fimmu.2021.664514. eCollection 2021.
6
High-throughput, sliding-window algorithm for assessing chemical complementarity between immune receptor CDR3 domains and cancer mutant peptides: TRG-PIK3CA interactions and breast cancer.高通量、滑动窗口算法评估免疫受体 CDR3 结构域与癌症突变肽之间的化学互补性:TRG-PIK3CA 相互作用和乳腺癌。
Mol Immunol. 2021 Jul;135:247-253. doi: 10.1016/j.molimm.2021.02.026. Epub 2021 Apr 29.
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