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基于生物信息学的 TTR 和 APOH 表达水平与结直肠癌转移患者预后的关系分析。

Analysis of the Relationship between the Expression Level of TTR and APOH and Prognosis in Patients with Colorectal Cancer Metastasis Based on Bioinformatics.

机构信息

Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230000, China.

The First Clinical College, Xuzhou Medical University, Xuzhou 221004, China.

出版信息

Contrast Media Mol Imaging. 2022 Sep 2;2022:1121312. doi: 10.1155/2022/1121312. eCollection 2022.

DOI:10.1155/2022/1121312
PMID:36101808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9462980/
Abstract

The expression of TTR and apolipoprotein H (APOH) genes and their relationship with prognosis in patients with colorectal cancer (CRC) metastasis by using bioinformatics analysis techniques are explored. The expression profiles of related genes in patients with CRC metastasis are retrieved from the Gene Expression Omnibus (GEO) database. The core genes transthyretin (TTR) and APOH are screened by constructing protein-protein interaction (PPI) network, and the corresponding patient data of 327 patients are extracted and included in the metastasis group. The TTR and APOH genes of 300 patients without CRC metastasis are screened and included in the control group. The relationship between the expression levels of TTR and APOH and the clinicopathological parameters of patients with CRC metastasis is analyzed. Kaplan-Meier survival curve is drawn to observe the influence of overexpression and low expression of TTR and APOH on the prognosis and survival of patients in the metastatic group. Receiver operating characteristic (ROC) curve is drawn to observe the prognostic efficacy of combined TTR and APOH detection in patients with CRC metastasis. The experimental results show that bioassay can confirm the close relationship between TTR, APOH, and patients with CRC metastasis. Regular detection of serum TTR and APOH expression can effectively assess the patient's condition and take measures to improve the prognosis of the patients.

摘要

探讨了通过生物信息学分析技术研究转甲状腺素蛋白（TTR）和载脂蛋白 H（APOH）基因在结直肠癌（CRC）转移患者中的表达及其与预后的关系。从基因表达综合数据库（GEO）数据库中检索 CRC 转移患者相关基因的表达谱。通过构建蛋白质-蛋白质相互作用（PPI）网络筛选核心基因 TTR 和 APOH，并提取相应的 327 名患者数据纳入转移组。筛选 300 名无 CRC 转移的患者的 TTR 和 APOH 基因，并纳入对照组。分析 TTR 和 APOH 基因的表达水平与 CRC 转移患者临床病理参数的关系。绘制 Kaplan-Meier 生存曲线，观察 TTR 和 APOH 过表达和低表达对转移组患者预后和生存的影响。绘制受试者工作特征（ROC）曲线，观察联合检测 TTR 和 APOH 对 CRC 转移患者的预后预测效果。实验结果表明，生物测定可以证实 TTR、APOH 与 CRC 转移患者之间的密切关系。定期检测血清 TTR 和 APOH 的表达可以有效评估患者的病情，并采取措施改善患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b2aeeec6f967/CMMI2022-1121312.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/cf10db32a56b/CMMI2022-1121312.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/898f9acb90c6/CMMI2022-1121312.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/8e09d401a7f9/CMMI2022-1121312.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b1fbaa947bba/CMMI2022-1121312.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/ad8c287976c9/CMMI2022-1121312.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/80b7319e5600/CMMI2022-1121312.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b1985fd45667/CMMI2022-1121312.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b2aeeec6f967/CMMI2022-1121312.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/cf10db32a56b/CMMI2022-1121312.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/898f9acb90c6/CMMI2022-1121312.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/8e09d401a7f9/CMMI2022-1121312.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b1fbaa947bba/CMMI2022-1121312.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/ad8c287976c9/CMMI2022-1121312.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/80b7319e5600/CMMI2022-1121312.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b1985fd45667/CMMI2022-1121312.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3c/9462980/b2aeeec6f967/CMMI2022-1121312.008.jpg

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