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一种与铁代谢相关的胃癌预后价值研究。 （你提供的原文似乎不完整，准确意思可能需结合完整内容进一步确定。）

An Iron Metabolism-Related for the Prognostic Value of Gastric Cancer.

作者信息

Wei Jianming, Gao Xibo, Qin Yulan, Liu Tong, Kang Yani

机构信息

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, People's Republic of China.

Department of Dermatology, Tianjin Children's Hospital, Tianjin 300074, People's Republic of China.

出版信息

Onco Targets Ther. 2020 Dec 14;13:12763-12775. doi: 10.2147/OTT.S287811. eCollection 2020.

DOI:10.2147/OTT.S287811
PMID:33363382
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7751842/
Abstract

PURPOSE

Gastric cancer (GC) is a type of malignant cancer with a poor prognosis. The iron's metabolism plays an important role in the process of GC. The aim of this study was to evaluate the effectiveness of , associated with iron metabolism, in predicting the prognosis of GC patients.

MATERIALS AND METHODS

We analyzed genes related to iron metabolism of gastric cancer mRNA-seq data from TCGA database. We identified an iron metabolism-related as an independent prognostic factor using univariate and multivariate Cox regression analysis.

RESULTS

Further research showed that was related with many pathways involved in the process of gastric cancer, and the expression was associated with diverse cancer-infiltrating immune cells. The expression of was associated with T (Topography).

CONCLUSION

We validated that associated with iron metabolism could serve as a prognostic biomarker for GC patients.

摘要

目的

胃癌（GC）是一种预后较差的恶性肿瘤。铁代谢在胃癌发生过程中起重要作用。本研究旨在评估与铁代谢相关的[未明确基因名称]在预测GC患者预后方面的有效性。

材料与方法

我们分析了来自TCGA数据库的胃癌mRNA-seq数据中与铁代谢相关的基因。通过单因素和多因素Cox回归分析，我们将一个与铁代谢相关的[未明确基因名称]确定为独立预后因素。

结果

进一步研究表明，[未明确基因名称]与胃癌发生过程中涉及的许多通路相关，其表达与多种癌症浸润免疫细胞有关。[未明确基因名称]的表达与T（拓扑结构）相关。

结论

我们验证了与铁代谢相关的[未明确基因名称]可作为GC患者的预后生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/ddcdacbeb276/OTT-13-12763-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/79ae3d415b51/OTT-13-12763-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/8adec4dd7120/OTT-13-12763-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/f674184e7bbb/OTT-13-12763-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/7ae23036048b/OTT-13-12763-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/60be422903c4/OTT-13-12763-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/c35a91a367e3/OTT-13-12763-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/05d8cff99560/OTT-13-12763-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/ddcdacbeb276/OTT-13-12763-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/79ae3d415b51/OTT-13-12763-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/8adec4dd7120/OTT-13-12763-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/f674184e7bbb/OTT-13-12763-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/7ae23036048b/OTT-13-12763-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/60be422903c4/OTT-13-12763-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/c35a91a367e3/OTT-13-12763-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/05d8cff99560/OTT-13-12763-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7751842/ddcdacbeb276/OTT-13-12763-g0008.jpg

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