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Updated: Jul 5, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

TCCIA:用于探索癌症免疫治疗中的CircRNA的综合资源

Shixiang Wang^1,2, Yi Xiong^3,4,5, Yihao Zhang^3,4,5

¹Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, People's Republic of China.

Journal for immunotherapy of cancer

|January 11, 2024

概括

癌症CircRNA免疫组图谱 (TCCIA) 是一个新的数据库,它将循环RNA配置文件与免疫治疗反应联系起来. 这个资源有助于识别新的生物标志物,预测癌症治疗的成功.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
免疫学免疫学免疫学

背景情况:

免疫检查点抑制剂是重要的癌症治疗方法,但需要预测生物标志物.
循环RNAs (circRNAs) 是瘤免疫的新兴调节者和免疫疗法疗效的潜在预测者.
现有的数据库缺乏一个统一的平台来探索circRNAs和抗瘤免疫治疗之间的相互作用.

研究的目的:

开发第一个全面的数据库,癌症circRNA免疫组图谱 (TCCIA),整合circRNA概况,免疫治疗反应数据和临床结果.
为探索circRNA介导的瘤免疫相互作用提供一个平台,并确定癌症免疫治疗的新生物标志物.

主要方法:

原始测序数据的标准化预处理.
组合方法使用四个circRNA检测工具来描述circRNA配置文件.
瘤免疫类型和免疫疗法响应数据的汇编,这些数据来自与免疫检查点阻塞 (ICBs) 治疗的不同队列.

主要成果:

TCCIA整合了25个用ICBs治疗的队列中的4000多个临床样本的数据.
基于云的平台提供交互工具,用于探索circRNA数据,分析与临床变量的关联,并评估瘤免疫微环境.
在黑色素瘤和膀癌中对circTMTC3和circMGA的案例研究表明,TCCIA在揭示circRNA对免疫疗法的影响方面具有实用性.

结论:

TCCIA是一个全新的,全面的资源,促进了circRNAs在免疫瘤学的研究.
该数据库有助于发现基于circRNA的生物标志物,用于预测免疫疗法的疗效和指导临床决策.

关键词:

生物标志物,瘤的生物标志物遗传标记物遗传标记物免疫疗法免疫疗法这些是瘤生物标志物.

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