ABCC9, NKAPL, and TMEM132C are potential diagnostic and prognostic markers in triple‐negative breast cancer

Zhang, Xiaoyu; Kang, Xiaoning; Jin, Lijun; Bai, Jie; Zhang, Hui; Liu, Wei; Wang, Zunyi

doi:10.1002/cbin.11406

Cited by 21 publications

(23 citation statements)

References 43 publications

(42 reference statements)

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“…8 Previous studies have found that GNG4 expression is elevated in a variety of tumors and is related to the poor prognosis of these patients, including bladder, liver, breast and non-small-cell lung cancers. 7,[9][10][11][12] Most studies confirmed the significance of high GNG4 expression by analyzing the correlation of sequencing data and clinical data and their related mechanisms. Maina et al confirmed that GNG4 is the target gene of VHL and is related to the response pathways.…”

Section: Introductionmentioning

confidence: 99%

High GNG4 expression is associated with poor prognosis in patients with lung adenocarcinoma

et al. 2021

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Background: The purpose of this study was to explore the reason for guanine nucleotide binding-protein gamma subunit-4 (GNG4) overexpression and the relationship between GNG4 overexpression and the poor prognosis of lung adenocarcinoma (LUAD) patients. Methods: The genes and phenotypes related to GNG4 expression in patients with lung adenocarcinoma were analyzed by bioinformatics. The phenotype indicated by bioinformatic analysis was confirmed by experiments. Results: GNG4 expression is elevated in lung adenocarcinoma, and overexpressed GNG4 is related to the poor prognosis of patients with lung adenocarcinoma. The hypoxic microenvironment of lung adenocarcinoma can promote GNG4 expression and GNG4 promotes the migration and proliferation of lung adenocarcinoma cells. Conclusions: GNG4 expression in lung adenocarcinoma was significantly higher than in paired adjacent tissues. GNG4 overexpression is associated with a variety of malignant phenotypes of lung adenocarcinoma. Increased GNG4 expression is related to the hypoxic microenvironment in lung adenocarcinoma.

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Section: Introductionmentioning

confidence: 99%

High GNG4 expression is associated with poor prognosis in patients with lung adenocarcinoma

et al. 2021

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“…Therefore, it is expected to be a targeted drug for the treatment of diabetes and obesity ( Kanematsu-Yamaki et al, 2017 ). Upregulation of G-protein subunit γ4 ( GNG4 ) is associated with many cancers, such as colon cancer ( Song et al, 2020 ), triple-negative breast cancer ( Zhang et al, 2020 ), thymic carcinoma ( Kishibuchi et al, 2020 ), and hepatocellular carcinoma ( Ding et al, 2019 ). It was found that G-protein γ7 ( GNG7 ) is a tumor suppressor gene in the progression of renal cell carcinoma (RCC) and is a novel replacement gene in the treatment of RCC ( Xu et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…To compare the differences in immune cell infiltration between NP and control tissues, we analyzed NP immune cell infiltration using the ggpubr R package ( Zhang et al, 2020 ) and preprocessCore ( Yan et al, 2016 ) to obtain the levels of immune cell infiltration in each sample. In addition, we assessed the infiltration levels of immune cells in both groups.…”

Section: Methodsmentioning

confidence: 99%

Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation

Pan

et al. 2022

Front. Mol. Biosci.

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The aim of our study is to reveal the hub genes related to the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP) and their association with immune cell infiltration through bioinformatics analysis combined with experimental validation. In this study, through differential gene expression analysis, 1,516 upregulated and 1,307 downregulated DEG were obtained from dataset GSE136825 of the GEO database. We identified 14 co-expressed modules using weighted gene co-expression network analysis (WGCNA), among which the most significant positive and negative correlations were MEgreen and MEturquoise modules, containing 1,540 and 3,710 genes respectively. After the intersection of the two modules and DEG, two gene sets—DEG-MEgreen and DEG-MEturquoise—were obtained, containing 395 and 1,168 genes respectively. Through GO term analysis, it was found that immune response and signal transduction are the most important biological processes. We found, based on KEGG pathway enrichment analysis, that osteoclast differentiations, cytokine–cytokine receptor interactions, and neuroactive ligand–receptor interactions are the most important in the two gene sets. Through PPI network analysis, we listed the top-ten genes for the concentrated connectivity of the two gene sets. Next, a few genes were verified by qPCR experiments, and FPR2, ITGAM, C3AR1, FCER1G, CYBB in DEG-MEgreen and GNG4, NMUR2, and GNG7 in DEG-MEturquoise were confirmed to be related to the pathogenesis of CRSwNP. NP immune cell infiltration analysis revealed a significant difference in the proportion of immune cells between the NP group and control group. Finally, correlation analysis between target hub genes and immune cells indicated that FPR2 and GNG7 had a positive or negative correlation with some specific immune cells. In summary, the discoveries of these new hub genes and their association with immune cell infiltration are of great significance for uncovering the specific pathogenesis of CRSwNP and searching for disease biomarkers and potential therapeutic targets.

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“… 21 GNG11 has been identified as a core gene associated with triple-negative breast cancer, and was down-regulated in tumor tissue. 22 In addition, GNG11 was also screened as the most valuable protein involved in cervical cancer with down-regulation. 23 Our study also found the high expression of GNG11 in some cancers such as kidney cancer and esophageal cancer.…”

Section: Dicussionmentioning

confidence: 99%

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

Jiang¹,

Zhao²,

Lou³

2021

IJGM

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Background GNG11 (G protein subunit gamma 11) is a member of guanine nucleotide-binding protein (G protein) gamma family. Few studies elucidated the role of GNG11 in human disease, especially in tumors. The present study initially analyzed the function of GNG11 in ovarian serous cystadenocarcinoma. Methods The differential expression of GNG11 mRNA in ovarian cancer and normal tissues was evaluated through Oncomine, CCLE, Gepia, UCSC Xena and UALCAN databases. The protein expression of GNG11 was assessed via HPA database. Prognosis analysis was performed by Kaplan–Meier Plotter. Restrict survival analysis to subtypes including tumor grade, cancer stage and TP53 mutation status was then carried out. GSEA enrichment analysis was performed to explore the significant pathways associated with GNG11 in ovarian cancer. Finally, the upstream miRNAs of GNG11 were predicted by DIANA, Target Scan, miRDB and miRWalk databases, and the potential key KEGG pathways were subsequently determined by DIANA. Results The mRNA expression of GNG11 was down-regulated in ovarian cancer patients ( P <0.05). The cancer stage of patients correlated with the expression of GNG11 ( P <0.05). Survival analysis indicated that GNG11 high expression statistically shortened the overall survival time of patients (HR=1.26, P =0.0043) compared with low expression group, especially for the patients with earlier stage (HR=2.48, P =0.035) and lower grade (HR=1.72, P =0.0016). Subsequently, the consistent upstream miRNA of GNG11, hsa-miR-22-5p, was predicted from 4 databases. The differential expression profile of hsa-miR-22-5p in blood was observed in ovarian cancer patients. According to the GSEA analysis on GNG11 and KEGG analysis on hsa-miR-22-5p, the consistent pathway of ECM-receptor interaction was observed (all P <0.01). ECM-receptor interaction pathway and differential expression of hsa-miR-22-5p in blood suggested the migration risk of ovarian cancer. Conclusion High expression of GNG11 indicated the poor prognosis of ovarian cancer patients. GNG11 might play a crucial role in the biological process of ovarian serous cystadenocarcinoma by ECM-receptor interaction pathway, thus affecting the prognosis of patients.

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ABCC9, NKAPL, and TMEM132C are potential diagnostic and prognostic markers in triple‐negative breast cancer

Cited by 21 publications

References 43 publications

High GNG4 expression is associated with poor prognosis in patients with lung adenocarcinoma

High GNG4 expression is associated with poor prognosis in patients with lung adenocarcinoma

Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation

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

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