Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse‑type gastric cancer

Li, Sheng; Yu, Chao; Cheng, Yuanguang; Du, Fangchao; Wen, Gang

doi:10.3892/mmr.2021.11832

Cited by 4 publications

(4 citation statements)

References 47 publications

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“…23 Li et al reported that AGT overexpression is associated with poor prognosis in diffuse-type GC. 16 Our conclusions were consistent with the previous studies that upregulation of AGT is associated with poorer OS in GC patients. Zhang et al observed that there is no association between AGT expression and TNM stage.…”

Section: Discussionsupporting

confidence: 93%

“…Previous studies have shown that AGT is upregulated in GC and indicated poor prognosis in GC. 16,23,24 Liu et al showed that AGT expression in exosomes positively correlates with serum level in GC. 23 Li et al reported that AGT overexpression is associated with poor prognosis in diffuse-type GC.…”

Section: Discussionmentioning

confidence: 99%

“… 14 AGT is cleaved by renin enzyme to produce angiotensin 1 (Ang I) when blood pressure is reduced, and AGT-converting enzyme (ACE) splits Ang I to generate angiotensin 2 (Ang II). 15 , 16 RAS plays an important role in maintaining fluid and electrolyte homeostasis, 17 and RAS irregulated expression leads to kidney disease, heart failure, hypertension, and diabetes. 18 , 19 Interestingly, RAS is also involved in the regulation of TME, such as resistance to apoptosis, promoting tumor angiogenesis, and involvement in inflammation, migration, invasion and metastasis.…”

Section: Introductionmentioning

confidence: 99%

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AGT May Serve as a Prognostic Biomarker and Correlated with Immune Infiltration in Gastric Cancer

Wu¹,

Zhang²,

Wang³

et al. 2022

IJGM

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Angiotensinogen (AGT), as a component of the renin-angiotensin system (RAS), is associated with multiple risk factors for gastric cancer (GC). However, the relationship between AGT and tumor-infiltrating lymphocytes in GC remains elusive. Methods: AGT expression was analyzed based on the Cancer Genome Atlas (TCGA) dataset. Kaplan-Meier curve was employed to assess the role of AGT expression in gastric patients' prognosis. The association between AGT expression and tumor immune infiltration was further evaluated via exploring Tumour Immune Estimation Resource (TIMER) and The Gene Expression Profiling Interactive Analysis (GEPIA). We also used multiple public databases to analyse the aberrant methylation of AGT, construct proteinprotein interaction (PPI) and gene ontology (GO) analyses. Results: AGT was overexpressed in GC tissues compared with normal gastric tissues (P<0.05). High AGT expression related with poorer overall survival of patients with GC, especially in advanced GC patients. Immune infiltration analysis revealed that AGT was associated with several immune cells (including B cells, CD4+ T cells, macrophages), and AGT expression was also associated with the markers of NK cells, TAMs, Tregs, and so on (all P<0.05). Methylation analysis indicated that hypomethylation may lead to abnormal upregulation of the AGT. GO analysis showed that AGT and its related genes were enriched in systemic arterial blood pressure by hormone, regulation of blood volume by renin-angiotensin, NIK/NF-kappaB signaling, ficolin-1-rich granule and so on. Conclusion: AGT could act as a promising biomarker for prognosis and immune infiltration in GC.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

AGT May Serve as a Prognostic Biomarker and Correlated with Immune Infiltration in Gastric Cancer

Wu¹,

Zhang²,

Wang³

et al. 2022

IJGM

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“…Detailed descriptions of clinical features can be found in related literature (Table 1). The difference analysis was adopted by the "limma" R package and the absolute value of |log 2 FC| > 0.585 and adjusted p < 0.05 were used as screening conditions to obtain DEGs 41 .…”

Section: Data Acquisition and Variance Analysismentioning

confidence: 99%

Identification of GBP2 and TMSB10 as Immune-associated Genes in Hypertension Nephropathy by Integrated Bioinformatics Analysis and Machine Learning

Liao

et al. 2023

Preprint

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Clinical and experimental proof suggests that hypertension nephropathy (HN) is a chronic inflammatory disease. Our study aims to disclose the role of immune-related genes in the progression of HN. Using the Gene Expression Omnibus (GEO) database, two human HN gene expression datasets (GSE37455 and GSE37460; n = 35) along with the relevant controls (n = 43) could be as the discovery metadata to analyze for differentially expressed genes (DEGs) in HN. Three different machine-learning algorithms were integrated to screen immune-related genes in HN. Receiver-operating characteristic (ROC) curves were generated to estimate diagnostic efficacy. The diagnostic value and expression levels of these candidate genes were validated in the GSE104954 dataset (20 HN patients and 3 controls). Single sample gene set enrichment analysis (ssGSEA) was used to evaluate immune cell infiltrations, and immune checkpoints were quantified. The expression of the potential genes was confirmed in vivo. As a result, a total of 220 DEGs were identified between HN and control samples in these datasets, of which 52 were immune differential genes. The magenta module in WGCNA was the highest correlation. Two immune-associated genes GBP2 (guanylate binding protein 2) and TMSB10 (Thymosin β10) for HN were obtained after the intersection of genes screened by machine learning. The expression levels of GBP2 and TMSB10 were validated using discovery and validation cohort data sets. Following the ssGSEA analysis, we identified potential immune cell types in HN patients, as well as revealed the correlation between immune-related genes (GBP2 and TMSB10) and immune cells. Furthermore, the mRNA and protein levels of GBP2 and TMSB10 in vivo were consistent with the bioinformatics analysis which confirms the accuracy of our analysis. Our results demonstrated that GBP2 and TMSB10 are promising immune-related genes for the diagnosis of HN, which may help in the development of more precisely tailored HN immunotherapy.

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β-Adrenoceptors in Cancer: Old Players and New Perspectives

Amato,

Lucchesi,

Marracci

et al. 2023

Handbook of Experimental Pharmacology

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Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse‑type gastric cancer

Cited by 4 publications

References 47 publications

AGT May Serve as a Prognostic Biomarker and Correlated with Immune Infiltration in Gastric Cancer

AGT May Serve as a Prognostic Biomarker and Correlated with Immune Infiltration in Gastric Cancer

Identification of GBP2 and TMSB10 as Immune-associated Genes in Hypertension Nephropathy by Integrated Bioinformatics Analysis and Machine Learning

β-Adrenoceptors in Cancer: Old Players and New Perspectives

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