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鉴定 6 个结直肠癌枢纽蛋白和蛋白风险特征

Identification of 6 Hub Proteins and Protein Risk Signature of Colorectal Cancer.

机构信息

Division of General Surgery, Peking University First Hospital, Peking University, 8 Xi Shiku Street, Beijing 100034, China.

出版信息

Biomed Res Int. 2020 Dec 8;2020:6135060. doi: 10.1155/2020/6135060. eCollection 2020.

DOI:10.1155/2020/6135060
PMID:33376727
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7744197/
Abstract

BACKGROUND

Colorectal cancer (CRC) is the second most common cause of cancer death in the United States and the third most common cancer globally. The incidence of CRC tends to be younger, and we urgently need a reliable prognostic assessment strategy.

METHODS

Protein expression profile and clinical information of 390 CRC patients/samples were downloaded from the TCPA and TCGA database, respectively. The Kaplan-Meier, Cox regression, and Pearson correlation analysis were applied in this study.

RESULTS

Based on the TCPA and TCGA database, we screened 6 hub proteins and first constructed protein risk signature, all of which were significantly associated with CRC patients' overall survival (OS). The risk score was an independent prognostic factor and significantly related with the size of the tumor in situ (). 6 hub proteins were differentially expressed in cancer and normal tissues and in different CRC stages, which were validated at the ONCOMINE database. Next, 40 coexpressed proteins of 6 hub proteins were extracted from the TCPA database. In the protein-protein interaction (PPI) network, HER1, HER2, and CTNNB1 were at the center. Function enrichment analysis illustrated that 46 proteins were mainly involved in the EGFR (HER1) tyrosine kinase inhibitor resistance pathway.

CONCLUSION

Studies indicated that 6 hub proteins might be considered as new targets for CRC therapies, and the protein risk signature can be used to predict the OS of CRC patients.

摘要

背景

结直肠癌（CRC）是美国第二大癌症死亡原因，也是全球第三大常见癌症。CRC 的发病率趋于年轻化，我们迫切需要一种可靠的预后评估策略。

方法

分别从 TCPA 和 TCGA 数据库下载了 390 例 CRC 患者/样本的蛋白表达谱和临床信息。本研究应用了 Kaplan-Meier、Cox 回归和 Pearson 相关性分析。

结果

基于 TCPA 和 TCGA 数据库，我们筛选出 6 个核心蛋白，并首次构建了蛋白风险特征，均与 CRC 患者的总生存期（OS）显著相关。风险评分是一个独立的预后因素，与原位肿瘤的大小显著相关（）。6 个核心蛋白在癌症和正常组织以及不同的 CRC 阶段均有差异表达，并在 ONCOMINE 数据库中得到验证。接下来，从 TCPA 数据库中提取了 6 个核心蛋白的 40 个共表达蛋白。在蛋白质-蛋白质相互作用（PPI）网络中，HER1、HER2 和 CTNNB1 处于中心位置。功能富集分析表明，46 个蛋白主要参与 EGFR（HER1）酪氨酸激酶抑制剂耐药途径。

结论

研究表明，6 个核心蛋白可能被视为 CRC 治疗的新靶点，蛋白风险特征可用于预测 CRC 患者的 OS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6117/7744197/069cb9b05f76/BMRI2020-6135060.011.jpg
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