研究动态
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新抗原预测策略:将癌症基因组学和免疫信息学方法整合在一起。

Neoepitopes prediction strategies: an integration of cancer genomics and immunoinformatics approaches.

发表日期:2023 Jan 20
作者: Sandeep Kumar Dhanda, Swapnil Mahajan, Malini Manoharan
来源: Briefings in Functional Genomics

摘要:

基因组技术革命的近期医学影响之一是阐明癌症发病机制,从而提高癌症诊断和治疗选择。下一代测序技术加速了肿瘤的表征,导致对给定癌症基因组中所有主要变化的全面发现,随后利用计算和免疫信息学方法将这些信息转化为癌症诊断和治疗的实践。在本文中,我们回顾了应用于一系列癌症研究领域的癌症免疫信息学的各种组成部分,包括用于癌症突变检测的计算工具、癌症突变和免疫数据库以及计算免疫学。© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
A major near-term medical impact of the genomic technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Next-generation sequencing technologies have accelerated the characterization of a tumor, leading to the comprehensive discovery of all the major alterations in a given cancer genome, followed by the translation of this information using computational and immunoinformatics approaches to cancer diagnostics and therapeutic efforts. In the current article, we review various components of cancer immunoinformatics applied to a series of fields of cancer research, including computational tools for cancer mutation detection, cancer mutation and immunological databases, and computational vaccinology.© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.