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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Online Access: | http://dx.doi.org/10.1080/21655979.2021.1945522 |
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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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