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PMBC:一个手动策划的数据库,用于乳腺癌的预后标志物

Jiabei Liu¹, Yiyi Yu¹, Mingyue Li¹

¹School of Automation, Guangdong University of Technology, 100 Outer Ring West Road, Guangzhou University City, Panyu District, Guangzhou 510006, China.

Database : the journal of biological databases and curation

|May 15, 2024

概括

一个新的数据库,PMBC,选了乳腺癌 (BC) 的1070个预后标志物,包括信使RNA (mRNA) 和非编码RNA. 本资源有助于理解BC异质性,并推进精密处理.

科学领域:

在瘤学瘤学.
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

乳腺癌 (BC) 呈现出高死亡率和异质性,影响治疗反应.
经典生物标志物有助于预后,但随着测序的进步,非编码RNA等新型标志物正在出现.
目前在BC缺乏一个专门的数据库,用于BC的预后标志物.

研究的目的:

构建和描述乳腺癌 (PMBC) 预后标志物的综合数据库.
分析各种RNA类型 (mRNAs, lncRNAs, miRNAs, circRNAs) 作为预后标记物的作用.
研究这些标记物在生物网络中的参与,特别是竞争性内源RNA (ceRNA) 网络.

主要方法:

编译了1070个预后标记,包括mRNA,长非编码RNA (lncRNA),微RNA (miRNA) 和圆形RNA (circRNA).
癌症和上皮相关功能的标记物的丰富分析,包括基因激活蛋白激酶信号传递.
将标记物映射到 starBase ceRNA 网络,用于拓和相互作用分析.

主要成果:

PMBC数据库包括1070个预后标志物,富含与癌症相关的途径.
对ceRNA网络的分析显示,已知的预后RNA具有更高的网络密度.
预后lncRNAs显示出更高的网络程度,而预后mRNAs显示出明显更高的亲密性,突出了lncRNA在网络相互作用中的作用.

结论:

PMBC数据库为乳腺癌预后标志物提供了宝贵的资源.
lncRNAs在维持ceRNA网络相互作用方面发挥着至关重要的作用,这表明它们作为优先预后标记物的潜力.
PMBC数据库为乳腺癌患者提供了精确的治疗策略.

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