Expression of LOX Suggests Poor Prognosis in Gastric Cancer
Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Meth...
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doaj-9d229bb889f24810875fb3a1a806d3012021-09-14T04:57:49ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-09-01810.3389/fmed.2021.718986718986Expression of LOX Suggests Poor Prognosis in Gastric CancerJinfeng ZhuChen LuoJiefeng ZhaoXiaojian ZhuKang LinFanqin BuZhonglin YuFeilong ZouZhengming ZhuBackground: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p < 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer.https://www.frontiersin.org/articles/10.3389/fmed.2021.718986/fullgastric cancerlysyl oxidasebioinformaticsprognosistumor microenvironment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinfeng Zhu Chen Luo Jiefeng Zhao Xiaojian Zhu Kang Lin Fanqin Bu Zhonglin Yu Feilong Zou Zhengming Zhu |
spellingShingle |
Jinfeng Zhu Chen Luo Jiefeng Zhao Xiaojian Zhu Kang Lin Fanqin Bu Zhonglin Yu Feilong Zou Zhengming Zhu Expression of LOX Suggests Poor Prognosis in Gastric Cancer Frontiers in Medicine gastric cancer lysyl oxidase bioinformatics prognosis tumor microenvironment |
author_facet |
Jinfeng Zhu Chen Luo Jiefeng Zhao Xiaojian Zhu Kang Lin Fanqin Bu Zhonglin Yu Feilong Zou Zhengming Zhu |
author_sort |
Jinfeng Zhu |
title |
Expression of LOX Suggests Poor Prognosis in Gastric Cancer |
title_short |
Expression of LOX Suggests Poor Prognosis in Gastric Cancer |
title_full |
Expression of LOX Suggests Poor Prognosis in Gastric Cancer |
title_fullStr |
Expression of LOX Suggests Poor Prognosis in Gastric Cancer |
title_full_unstemmed |
Expression of LOX Suggests Poor Prognosis in Gastric Cancer |
title_sort |
expression of lox suggests poor prognosis in gastric cancer |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Medicine |
issn |
2296-858X |
publishDate |
2021-09-01 |
description |
Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p < 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer. |
topic |
gastric cancer lysyl oxidase bioinformatics prognosis tumor microenvironment |
url |
https://www.frontiersin.org/articles/10.3389/fmed.2021.718986/full |
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