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人类核受体(NRs)基因在肝细胞癌患者中有预后意义。

Human nuclear receptors (NRs) genes have prognostic significance in hepatocellular carcinoma patients.

机构信息

Department of Hepatobiliary Surgery, ZiBo Central Hospital, No. 54, Gongqingtuanxi Road, Zibo, Shandong, 255036, People's Republic of China.

出版信息

World J Surg Oncol. 2021 Apr 30;19(1):137. doi: 10.1186/s12957-021-02246-x.

DOI:10.1186/s12957-021-02246-x
PMID:33941198
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8091722/
Abstract

BACKGROUND

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality in the world.

METHOD

We downloaded the mRNA profiles and clinical information of 371 HCC patients from The Cancer Genome Atlas (TCGA) database. The consensus clustering analysis with the mRNA levels of 48 nuclear receptors (NRs) was performed by the "ConsensusClusterPlus." The univariate Cox regression analysis was performed to predict the prognostic significance of NRs on HCC. The risk score was calculated by the prognostic model constructed based on eight optimal NRs. Then multivariate Cox regression analysis was performed to determine whether the risk score is an independent prognostic signature. Finally, the nomogram based on multiple independent prognostic factors was used to predict the long-term survival of HCC patients.

RESULTS

The prognostic model constructed based on the eight optimal NRs (NR1H3, ESR1, NR1I2, NR2C1, NR6A1, PPARD, PPARG, and VDR) could effectively predict the prognosis of HCC patients as an independent prognostic signature. Moreover, the nomogram was constructed based on multiple independent prognostic factors including risk score and tumor node metastasis (TNM) stage and could better predict the long-term survival for 3- and 5-year of HCC patients.

CONCLUSION

Our results provided novel evidences that NRs could act as the potential prognostic signatures for HCC patients.

摘要

背景

肝细胞癌(HCC)是全球癌症相关死亡的第三大主要原因。

方法

我们从癌症基因组图谱(TCGA)数据库中下载了 371 例 HCC 患者的 mRNA 谱和临床信息。通过“ConsensusClusterPlus”对 48 种核受体(NRs)的 mRNA 水平进行共识聚类分析。采用单因素 Cox 回归分析预测 NRs 对 HCC 的预后意义。基于 8 个最佳 NRs 构建预后模型计算风险评分。然后进行多因素 Cox 回归分析,以确定风险评分是否为独立的预后标志。最后,使用基于多个独立预后因素的列线图预测 HCC 患者的长期生存。

结果

基于 8 个最佳 NRs(NR1H3、ESR1、NR1I2、NR2C1、NR6A1、PPARD、PPARG 和 VDR)构建的预后模型可作为独立的预后标志物,有效预测 HCC 患者的预后。此外,基于风险评分和肿瘤淋巴结转移(TNM)分期等多个独立预后因素构建的列线图可更好地预测 HCC 患者 3 年和 5 年的长期生存情况。

结论

我们的研究结果提供了新的证据,表明 NRs 可以作为 HCC 患者的潜在预后标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/f95cee30189d/12957_2021_2246_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/e38e958a9535/12957_2021_2246_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/0eb0731ac01b/12957_2021_2246_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/47fda89ebba9/12957_2021_2246_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/111b56d0a414/12957_2021_2246_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/39e4a5116947/12957_2021_2246_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/f95cee30189d/12957_2021_2246_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/e38e958a9535/12957_2021_2246_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/0eb0731ac01b/12957_2021_2246_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/47fda89ebba9/12957_2021_2246_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/111b56d0a414/12957_2021_2246_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/39e4a5116947/12957_2021_2246_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a212/8091722/f95cee30189d/12957_2021_2246_Fig6_HTML.jpg

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