Assessment of Significant Pathway Signaling and Prognostic Value of GNG11 in Ovarian Serous Cystadenocarcinoma

Jiang, Ming-Min; Zhao, Fan; Lou, Tao-Tao

doi:10.2147/ijgm.s314911

Cited by 8 publications

(8 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The expression of GNG11 mRNA is down-regulated in ovarian cancer patients, and its high expression is associated with poor prognosis (82). GNG11 may play a crucial role in the biological process of ovarian cancer through the ECM-receptor interaction pathway (83).…”

Section: Discussionmentioning

confidence: 99%

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Bhattacharjee,

Ghosh

2024

Preprint

View full text Add to dashboard Cite

Pancreatic Ductal Adenocarcinoma (PDAC) is a devastating disease with poor clinical outcomes which is mainly because of delayed disease detection resistance to chemotherapy and lack of specific targeted therapies. The disease's development involves complex interactions among immunological, genetic, and environmental factors, yet its molecular mechanism remains elusive. A major challenge in understanding PDAC etiology lies in unraveling the genetic profiling that governs the PDAC network. To address this, we examined the gene expression profile of PDAC and compared it with that of healthy controls, identifying differentially expressed genes (DEGs). These DEGs formed the basis for constructing the PDAC protein interaction network, and their network topological properties were calculated. It was found that the PDAC network self-organizes into a scale-free fractal state with weakly hierarchical organization. Newman and Girvan algorithm (leading eigenvector (LEV) method) of community detection enumerated four communities leading to at least one motif. Our analysis revealed 33 key regulators were predominantly enriched in neuroactive ligand-receptor interaction, Cell adhesion molecules, Leukocyte transendothelial migration pathways; positive regulation of cell proliferation, positive regulation of protein kinase B signaling biological functions; G-protein beta-subunit binding, receptor binding molecular functions etc. Transcription Factor and mi-RNA of the key regulators were obtained. Recognizing the therapeutic potential and biomarker significance of PDAC Key regulators, we also identified approved drugs for specific genes. However, it is imperative to subject Key regulators to experimental validation to establish their efficacy in the context of PDAC.

show abstract

Section: Discussionmentioning

confidence: 99%

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Bhattacharjee,

Ghosh

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Interactions with between COL5A2, an extracellular matrix protein, and its cell surface receptor promotes transcription of EMT‐related genes via activation of PI3K‐AKT signaling 30 . GNG11 is a member of the guanine nucleotide‐binding protein gamma family and also plays a role in transmembrane signaling; notably, it has been reported to be a predictor of poor prognosis ovarian cancer 31 . MMP2 and MMP9 also promote tumor invasion and metastasis by degrading extracellular matrix proteins and basement membrane 32,33 .…”

Section: Discussionmentioning

confidence: 99%

Therapeutic antibody targeting natriuretic peptide receptor 1 inhibits gastric cancer growth viaBCL‐2‐mediated intrinsic apoptosis

Sasahara,

Kanda,

Tanaka

et al. 2023

Intl Journal of Cancer

View full text Add to dashboard Cite

Despite recent advances in the development of therapeutic antibodies, the prognosis of unresectable or metastatic gastric cancer (GC) remains poor. Here, we searched for genes involved in the malignant phenotype of GC and investigated the potential of one candidate gene to serve as a novel therapeutic target. Analysis of transcriptome datasets of GC identified natriuretic peptide receptor 1 (NPR1), a plasma membrane protein, as a potential target. We employed a panel of human GC cell lines and gene‐specific small interfering RNA‐mediated NPR1 silencing to investigate the roles of NPR1 in malignancy‐associated functions and intracellular signaling pathways. We generated an anti‐NPR1 polyclonal antibody and examined its efficacy in a mouse xenograft model of GC peritoneal dissemination. Associations between NPR1 expression in GC tissue and clinicopathological factors were also evaluated. NPR1 mRNA was significantly upregulated in several GC cell lines compared with normal epithelial cells. NPR1 silencing attenuated GC cell proliferation, invasion, and migration, and additionally induced the intrinsic apoptosis pathway associated with mitochondrial dysfunction and caspase activation via downregulation of BCL‐2. Administration of anti‐NPR1 antibody significantly reduced the number and volume of GC peritoneal tumors in xenografted mice. High expression of NPR1 mRNA in clinical GC specimens was associated with a significantly higher rate of postoperative recurrence and poorer prognosis. NPR1 regulates the intrinsic apoptosis pathway and plays an important role in promoting the GC malignant phenotype. Inhibition of NPR1 with antibodies may have potential as a novel therapeutic modality for unresectable or metastatic GC.

show abstract

“…A lipid-anchored plasma membrane protein encoded by GNG11 belongs to the G protein gamma family [ 43 ]. One additional study demonstrated that GNG11 contributed to the G-protein Coupled Receptor Protein Signaling in AD [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson’s Diseases and Improving the Disease Classification Using Support Vector Machine

Moradi

Tapak

Afshar

2022

BioMed Research International

View full text Add to dashboard Cite

Background. Parkinson’s disease (PD) is a neurological disorder that is marked by the deficit of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra, the selective demise of dopamine-producing neurons was the main cause of this disease. The purpose of this research was to discover genes involved in PD development. Methods. In this study, the microarray dataset (GSE22491) provided by GEO was used for further analysis. The Limma package under R software was used to examine and assess gene expression and identify DEGs. The DAVID online tool was used to accomplish GO enrichment analysis and KEGG pathway for DEGs. Furthermore, the PPI network of these DEGs was depicted using the STRING database and analyzed through the Cytoscape to identify hub genes. Support vector machine (SVM) classifier was subsequently employed to predict the accuracy of genes. Result. PPI network consisted of 264 nodes as well as 502 edges was generated using the DEGs recognized from the Limma package under the R software. Moreover, three genes were identified as hubs: GNB5, GNG11, and ELANE. By using 3-gene combination, SVM found that prediction accuracy of 88% can be achieved. Conclusion. According to the findings of the study, the 3 hub genes GNB5, GNG11, and ELANE may be used as PD detection biomarkers. Moreover, the results obtained from SVM with high accuracy can be considered as PD biomarkers in further investigations.

show abstract

Assessment of Significant Pathway Signaling and Prognostic Value of GNG11 in Ovarian Serous Cystadenocarcinoma

Cited by 8 publications

References 27 publications

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Therapeutic antibody targeting natriuretic peptide receptor 1 inhibits gastric cancer growth viaBCL‐2‐mediated intrinsic apoptosis

Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson’s Diseases and Improving the Disease Classification Using Support Vector Machine

Contact Info

Product

Resources

About