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脑胶质瘤中的肿瘤抗原。

Tumor antigens in glioma.

机构信息

Department of Neurological Surgery, University of California, San Francisco, CA, USA.

The George Washington University, School of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia, USA.

出版信息

Semin Immunol. 2020 Feb;47:101385. doi: 10.1016/j.smim.2020.101385. Epub 2020 Feb 6.

Abstract

Immunotherapy applications to glioblastoma represent a new treatment frontier. Antigen-targeted immunotherapy approaches hold enormous potential to elicit antigen-specific anti-tumor effects in central nervous system tumors. Still, the paucity of effective antigen targets remains a significant obstacle in safely and effectively treating glioblastoma and other malignant gliomas with relatively low mutation loads. In this review, we highlight the current understanding of and development of immunotherapy to target 1) shared non-mutant antigens 2) shared mutant antigens (neoantigens) derived from cancer-specific mutations 3) personalized neoantigens derived from tumor-specific genetic alterations containing de novo peptide sequences and 4) virus-derived antigens. We also discuss strategies to enhance tumor immunogenicity and neoantigen prediction. Spatial heterogeneity remains a formidable challenge for immunotherapy of glioma; recent advances in targeting multiple antigens and refining the antigen selection pipeline hold great promise to turn the tide against glioma.

摘要

免疫疗法在胶质母细胞瘤中的应用代表了一个新的治疗前沿。抗原靶向免疫疗法在中枢神经系统肿瘤中具有很大的潜力,可以引发针对抗原的抗肿瘤作用。然而,有效的抗原靶点的缺乏仍然是安全有效地治疗胶质母细胞瘤和其他突变负荷相对较低的恶性胶质瘤的一个重大障碍。在这篇综述中,我们重点介绍了针对以下方面的免疫疗法的当前理解和发展:1)共享非突变抗原,2)源自癌症特异性突变的共享突变抗原(新抗原),3)源自包含从头肽序列的肿瘤特异性遗传改变的个性化新抗原,以及 4)病毒衍生抗原。我们还讨论了增强肿瘤免疫原性和新抗原预测的策略。空间异质性仍然是胶质母细胞瘤免疫治疗的一个巨大挑战;最近在靶向多个抗原和改进抗原选择管道方面的进展有望扭转胶质母细胞瘤的局面。

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