Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics

This study aimed to identify potential pharmacological targets of triptolide regulating the tumor microenvironment (TME) of stomach adenocarcinoma (STAD) patients. A total of 343 STAD cases from The Cancer Genome Atlas (TCGA) were assigned into high- or low-score groups applying Estimation of STroma...

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Main Authors: Hairong Qiu, Xiaobo Zhang, Han Yu, Rui Gao, Jianglong Shi, Tao Shen
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Bioengineered
Subjects:
Online Access:http://dx.doi.org/10.1080/21655979.2021.1945522
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spelling doaj-200fb3334e1249a4972dc9e22bb43c4d2021-08-09T15:50:08ZengTaylor & Francis GroupBioengineered2165-59792165-59872021-01-011214304431910.1080/21655979.2021.19455221945522Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformaticsHairong Qiu0Xiaobo Zhang1Han Yu2Rui Gao3Jianglong Shi4Tao Shen5Chengdu University of Traditional Chinese MedicineChengdu University of Traditional Chinese MedicineChengdu University of Traditional Chinese MedicineChengdu University of Traditional Chinese MedicineChengdu University of Traditional Chinese MedicineChengdu University of Traditional Chinese MedicineThis study aimed to identify potential pharmacological targets of triptolide regulating the tumor microenvironment (TME) of stomach adenocarcinoma (STAD) patients. A total of 343 STAD cases from The Cancer Genome Atlas (TCGA) were assigned into high- or low-score groups applying Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE). Hub genes were identified from differentially expressed genes (DEGs) shared by stromal- and immune-related components in the TME of STAD patients using R software. Cox regression analysis was used to identify genes significantly correlated with STAD patient survival. Triptolide target genes were predicted from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Top 30 genes filtered by Cytohubba from 734 DEGs were screened as hub genes. Forty-two genes were found to be at high risk for STAD prognosis. Thirty-four targets of triptolide were predicted using the TCMSP database. Importantly, C-X-C chemokine receptor type 4 (CXCR4) was identified as a potential target of triptolide associated with the TME in STAD. Analysis of survival highlighted the association between CXCR4 upregulation with STAD progression and poor prognosis. Gene Set Enrichment Analysis (GSEA) confirmed that genes in the CXCR4- upregulated group had significant enrichment in immune-linked pathways. Additionally, triptolide targets were found to be significantly enriched in CXCR4-related chemokine and cancer-related p53 signaling pathways. Molecular docking demonstrated a high affinity between triptolide and CXCR4. In conclusion, CXCR4 may be a therapeutic target of triptolide in the treatment of STAD patients by modulating the TME.http://dx.doi.org/10.1080/21655979.2021.1945522the cancer genome atlas (tcga)estimation of stromal and immune cells in malignant tumors using expression data (estimate)triptolidetumor microenvironmentstomach adenocarcinomabioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Hairong Qiu
Xiaobo Zhang
Han Yu
Rui Gao
Jianglong Shi
Tao Shen
spellingShingle Hairong Qiu
Xiaobo Zhang
Han Yu
Rui Gao
Jianglong Shi
Tao Shen
Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
Bioengineered
the cancer genome atlas (tcga)
estimation of stromal and immune cells in malignant tumors using expression data (estimate)
triptolide
tumor microenvironment
stomach adenocarcinoma
bioinformatics
author_facet Hairong Qiu
Xiaobo Zhang
Han Yu
Rui Gao
Jianglong Shi
Tao Shen
author_sort Hairong Qiu
title Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
title_short Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
title_full Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
title_fullStr Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
title_full_unstemmed Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
title_sort identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics
publisher Taylor & Francis Group
series Bioengineered
issn 2165-5979
2165-5987
publishDate 2021-01-01
description This study aimed to identify potential pharmacological targets of triptolide regulating the tumor microenvironment (TME) of stomach adenocarcinoma (STAD) patients. A total of 343 STAD cases from The Cancer Genome Atlas (TCGA) were assigned into high- or low-score groups applying Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE). Hub genes were identified from differentially expressed genes (DEGs) shared by stromal- and immune-related components in the TME of STAD patients using R software. Cox regression analysis was used to identify genes significantly correlated with STAD patient survival. Triptolide target genes were predicted from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Top 30 genes filtered by Cytohubba from 734 DEGs were screened as hub genes. Forty-two genes were found to be at high risk for STAD prognosis. Thirty-four targets of triptolide were predicted using the TCMSP database. Importantly, C-X-C chemokine receptor type 4 (CXCR4) was identified as a potential target of triptolide associated with the TME in STAD. Analysis of survival highlighted the association between CXCR4 upregulation with STAD progression and poor prognosis. Gene Set Enrichment Analysis (GSEA) confirmed that genes in the CXCR4- upregulated group had significant enrichment in immune-linked pathways. Additionally, triptolide targets were found to be significantly enriched in CXCR4-related chemokine and cancer-related p53 signaling pathways. Molecular docking demonstrated a high affinity between triptolide and CXCR4. In conclusion, CXCR4 may be a therapeutic target of triptolide in the treatment of STAD patients by modulating the TME.
topic the cancer genome atlas (tcga)
estimation of stromal and immune cells in malignant tumors using expression data (estimate)
triptolide
tumor microenvironment
stomach adenocarcinoma
bioinformatics
url http://dx.doi.org/10.1080/21655979.2021.1945522
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