Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis

Li-feng[, ]; GuoPeiyuan,; DongKeqin,; GuoPeng,; WangHaoyuan,; LvXianqiang,

doi:10.1089/cmb.2019.0145

Cited by 29 publications

(26 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each of these nodes represented a rich term that was first colored by its cluster ID, shown in Figure 6(b) and then colored by its P value. e deeper the orange, the smaller the P value ( Figure 6) [18].…”

Section: Go Analysis Of Targets' Intersection Of Hf and Huangqimentioning

confidence: 99%

“…(http://metascape.org/gp/index.html#/main/step1), an efficient and intuitive tool that has the Integrated Discovery and Annotation capabilities, primarily provides classical batch annotation and GO terminology enrichment interpretation to emphasize the most relevant GO terms related to an offered gene list [18]. e targets' intersection of HF and Huangqi was input into Metascape for GO analysis and the parameter selected was "Homo sapiens" [18].…”

Section: Collection Of Targets Related To Hfmentioning

confidence: 99%

See 1 more Smart Citation

Exploring Molecular Mechanism of Huangqi in Treating Heart Failure Using Network Pharmacology

Tao

Huang

Wang

et al. 2020

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

Heart failure (HF), a clinical syndrome with a high incidence due to various reasons, is the advanced stage of most cardiovascular diseases. Huangqi is an effective treatment for cardiovascular disease, which has multitarget, multipathway functions. Therefore, we used network pharmacology to explore the molecular mechanism of Huangqi in treating HF. In this study, 21 compounds of Huangqi, which involved 407 targets, were obtained and reconfirmed using TCMSP and PubChem databases. Moreover, we used Cytoscape 3.7.1 to construct compound-target network and screened the top 10 compounds. 378 targets related to HF were obtained from CTD and GeneCards databases and HF-target network was constructed by Cytoscape 3.7.1. The 46 overlapping targets of HF and Huangqi were gotten by Draw Venn Diagram. STRING database was used to set up a protein-protein interaction network, and MCODE module and the top 5 targets with the highest degree for overlapping targets were obtained. GO analysis performed by Metascape indicated that the overlapping targets were mainly enriched in blood vessel development, reactive oxygen species metabolic process, response to wounding, blood circulation, and so on. KEGG analysis analyzed by ClueGO revealed that overlapping targets were mainly enriched in AGE-RAGE signaling pathway in diabetic complications, IL-17 signaling pathway, HIF-1 signaling pathway, c-type lectin receptor signaling pathway, relaxin signaling pathway, and so on. Finally, molecular docking showed that top 10 compounds of Huangqi also had good binding activities to important targets compared with digoxin, which was carried out in CB-Dock molecular docking server. In conclusion, Huangqi has potential effect on regulating overlapping targets and GE-RAGE signaling pathway in diabetic complications, IL-17 signaling pathway, HIF-1 signaling pathway, and so on to be a latent multitarget, multipathway treatment for HF.

show abstract

Section: Go Analysis Of Targets' Intersection Of Hf and Huangqimentioning

confidence: 99%

Section: Collection Of Targets Related To Hfmentioning

confidence: 99%

Exploring Molecular Mechanism of Huangqi in Treating Heart Failure Using Network Pharmacology

Tao

Huang

Wang

et al. 2020

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

show abstract

“…11 Lipid importation from circulation, other than endogenous lipid synthesis, affects cancer progression has been attracting tremendous attention in the field of cancer metabolism. 12 In a bioinformatics study, Li et al 13 found that low-density lipoprotein receptor (LDLR) expression is an important biomarker for renal cell carcinoma. Cholesterol importation occurs in pancreatic cancer potentially through LDLR expression in cancer cells.…”

Section: Introductionmentioning

confidence: 99%

Targeting lipid droplet lysophosphatidylcholine for cisplatin chemotherapy

Chen

Lung

Cheng

et al. 2020

J Cellular Molecular Medi

View full text Add to dashboard Cite

show abstract

“…GPR4 appeared up-regulated in cholangiocarcinoma, down-regulated in cervical and lung cancers, and increased or decreased in kidney tumors depending on the kind of cancer [150]. Analysis centered in particular cancers revealed the up-regulated expression of GPR4 in head and neck squamous cell carcinoma [151], in renal cell carcinoma [152], in colorectal cancer [153] and in hepatocellular carcinoma [154] and, in most of these studies, its high expression correlated with late stage tumors and poor overall survival [152][153][154][155].…”

Section: Gpr4mentioning

confidence: 98%

Metabolite Sensing GPCRs: Promising Therapeutic Targets for Cancer Treatment?

Cosín-Roger

Ortiz-Masiá

Barrachina

et al. 2020

Cells

View full text Add to dashboard Cite

G-protein-coupled receptors constitute the most diverse and largest receptor family in the human genome, with approximately 800 different members identified. Given the well-known metabolic alterations in cancer development, we will focus specifically in the 19 G-protein-coupled receptors (GPCRs), which can be selectively activated by metabolites. These metabolite sensing GPCRs control crucial processes, such as cell proliferation, differentiation, migration, and survival after their activation. In the present review, we will describe the main functions of these metabolite sensing GPCRs and shed light on the benefits of their potential use as possible pharmacological targets for cancer treatment.

show abstract

Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis

Cited by 29 publications

References 39 publications

Exploring Molecular Mechanism of Huangqi in Treating Heart Failure Using Network Pharmacology

Exploring Molecular Mechanism of Huangqi in Treating Heart Failure Using Network Pharmacology

Targeting lipid droplet lysophosphatidylcholine for cisplatin chemotherapy

Metabolite Sensing GPCRs: Promising Therapeutic Targets for Cancer Treatment?

Contact Info

Product

Resources

About