Aldosterone-producing nodules and CYP11B1 signaling correlate in primary aldosteronism

2021 ◽  
Author(s):  
Jui-Hsiang Lin ◽  
Kang-Yung Peng ◽  
Yu-Ping Kuo ◽  
Hsuan Liu ◽  
Chin-Ming Bertrand Tan ◽  
...  
Keyword(s):  
Primary Aldosteronism ◽  
Immunohistochemical Staining ◽  
Bioinformatics Analysis ◽  
The Cancer Genome Atlas ◽  
Cortisol Secretion ◽  
Unilateral Adrenalectomy ◽  
Over Expression ◽  
Cancer Genome Atlas ◽  
Autonomous Cortisol Secretion ◽  
Steroidogenic Genes

Autonomous cortisol secretion (ACS) could be found in some patients with unilateral primary aldosteronism (uPA). However, the histopathological patterns of uPA with concurrent ACS has not been well elucidated. The adrenal gland with the adenoma from 61 uPA patients who underwent unilateral adrenalectomy were assessed by immunohistochemistry. Bioinformatics analysis, including the Cancer Genome Atlas (TCGA) and Kyoto Encyclopedia of Genes and Genomes (KEGG), was applied. The prevalence of multiple aldosterone-producing nodules or micronodules (mAPN/mAPM) was 65.6% (40/61) among our uPA patients. Concurrent ACS was identified in 32% of this uPA cohort; they were associated with the interaction of larger tumor size (> 1.98 cm) and mAPN/mAPM (OR= 3.08, p= 0.004). Transcriptome analysis uncovered a dominant enrichment of HSD3B7 over-expression (p= 0.004) in the adenomas of the histopathologically classical adrenal uPA lesions with concomitant mAPN/mAPM, compared with those uPA adenomas without concurrent surrounding mAPN/mAPM. We identified a novel linkage of enhanced steroidogenic genes of HSD3B7 expression concurrent with downstream higher CYP11B1 expression; further relationship was confirmed by immunohistochemical staining and validated by TCGA bioinformatics. The presence of mAPN/mAPM in uPA patients had lower rate for biochemical success after adrenalectomy (p=0.047). In summary, two thirds of uPA patients had concomitant mAPN/mAPM; 1/3 of uPA patients had concurrent ACS. Steroidogenic HSD3B7/ CYP11B1 signaling was associated with uPA adenomas with surrounding mAPN/mAPM. Interaction of larger adenoma size with the presence of mAPN/mAPM was linked to co-existent ACS. Such uPA patients with concomitant mAPN/mAPM had lower rate of biochemical success.

scholarly journals Downregulation of the FBXO43 gene inhibits tumor growth in human breast cancer by limiting its interaction with PCNA

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Rulan Ma ◽  
Kun Zhu ◽  
Dawei Yuan ◽  
Meijun Gong ◽  
Yijun Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Bioinformatics Analysis ◽  
The Cancer Genome Atlas ◽  
Migration And Invasion ◽  
Human Breast ◽  
Cancer Genome Atlas ◽  
Proliferation Assays ◽  
Proliferative Ability

Abstract Background The function and regulatory mechanism of FBXO43 in breast cancer (BC) are still unclear. Here, we intended to determine the role and mechanism of FBXO43 in BC. Methods FBXO43 expression in BC was evaluated by analysis of The Cancer Genome Atlas (TCGA). RT-qPCR and western blotting were utilized to detect FBXO43 expression in BC cell lines. Lentivirus was applied to downregulate FBXO43 in human BC cells. Proliferation assays were performed to evaluate the proliferative ability of BC cells. The apoptosis and cell cycle analysis of BC cells were analyzed by flow cytometry. Cell migration and invasion were investigated via Transwell assays. The function of FBXO43 in vivo was evaluated by constructing a xenograft mouse model. The proteins that might interact with FBXO43 in BC were identified by mass spectrometry, bioinformatics analysis, and co-immunoprecipitation (Co-IP) assays. Finally, rescue experiments were conducted to validate the recovery effects of the proteins interacting with FBXO43. Results FBXO43 was highly expressed in BC and was significantly downregulated after FBXO43 knockdown. The proliferation, migration, and invasion of BC cells were inhibited, and cell apoptosis was induced by FBXO43 knockdown. In addition, an in vivo experiment indicated that FBXO43 knockdown could inhibit the cell growth of BC. The results of the Co-IP assay showed that FBXO43 interacted with PCNA. Further rescue experiments confirmed that overexpression of PCNA significantly reversed the effects of FBXO43 knockdown on BC cells. Conclusion Downregulation of FBXO43 inhibits the tumor growth of BC by limiting its interaction with PCNA. FBXO43 might be a new potential oncogene and a therapeutic target for BC.

scholarly journals Bioinformatics Analysis and Insights for The Role of COMMD7 in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Xuehui Peng ◽  
Yonggang He ◽  
Xiaobing Huang ◽  
Nan You ◽  
Huiying Gu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Research Progress ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Cancer Genome Atlas ◽  
Kaplan Meier Plotter

Abstract Background: The tumorigenesis and development of hepatocellular carcinoma (HCC) is a process involving multiple factors. The COMMDs family proteins were reported to play important roles in various disease and cancers including HCC. We previously found COMMD7 acted as a HCC-promotion factor; however, further understanding on COMMD7 was needed. We conducted these bioinformatics analysis for the purpose of comprehensive understanding of the functional role of COMMD7 in HCC.Methods: The bioinformatics analysis of COMMD7 were launched by online platforms including KEGG, GEPIA, cBioportal, Gene Ontology and The Kaplan-Meier plotter. Data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were downloaded, and the data analysis and processing were conducted by RStudio (version 1.3.959) software.Results: The expression profile results of COMMD7 in TCGA and GTEx database suggested that COMMD7 expressed highly in liver tumor tissues and positively related with poorer prognosis (p<0.01); COMMD7 also contributed to the early development of HCC as its higher expression resulted in progression from stage I to stage III (p<0.01). Based on our previous studies, COMMD7 may target NF-κB signaling and CXCL10 to enhance the proliferation of hepatoma cells so that promoting the development of HCC. Conclusions：This study updates the current studies about the newly recognized roles of COMMD7 in the progression of HCC, summarizing the research progress and prospects of COMMD7 comprehensively, offering an outlook for the future investigation and targeted therapy of HCC.

LncRNA ELFN1-AS1 promotes esophageal cancer progression by up-regulating GFPT1 via sponging miR-183-3p

2020 ◽  
Vol 401 (9) ◽  
pp. 1053-1061 ◽  
Author(s):  
Chunyan Zhang ◽  
Hongkai Lian ◽  
Linsen Xie ◽  
Ningwei Yin ◽  
Yuanbo Cui
Keyword(s):  
Esophageal Cancer ◽  
Cancer Progression ◽  
Critical Role ◽  
The Cancer Genome Atlas ◽  
Migration And Invasion ◽  
Over Expression ◽  
Fibronectin Type Iii ◽  
Cancer Genome Atlas ◽  
Fibronectin Type Iii Domain

AbstractAccumulating studies highlight the critical role of long non-coding RNAs (lncRNAs) in the development of various human cancers. Extracellular leucine rich repeat and fibronectin type III domain containing 1-antisense RNA 1 (ELFN1-AS1) was shown to be a newly found lncRNA that abnormally expressed in human tumors. However, till now the specific function of this lncRNA in esophageal cancer (ESCA) remains unknown. In this study, we discovered that higher ELFN1-AS1 expression indicated shorter patient survival in pan-cancer, including ESCA, using online The Cancer Genome Atlas (TCGA) tools. The lncRNA ELFN1-AS1 was significantly up-regulated in ESCA tissues and cell lines when compared with the counterparts. Down-regulation of ELFN1-AS1 restrained cell proliferation, migration, and invasion of ESCA in vitro. In addition, we found that the expression of microRNA-183-3p (miR-183-3p) and ELFN1-AS1 or glutamine-fructose-6-phosphate transaminase 1 (GFPT1) were inversely correlated in ESCA. Both ELFN1-AS1 and GFPT1 are direct targets of miR-183-3p in ESCA. The effects of ELFN1-AS1 knockdown on ESCA progression were partially rescued by inhibition of miR-183-3p or over-expression of GFPT1. In summary, the results of this study suggest that the lncRNA ELFN1-AS1 facilitates the progression of ESCA by acting as a competing endogenous RNA (ceRNA) to promote GFPT1 expression via sponging miR-183-3p.

scholarly journals Expression and Regulatory Network Analysis of MiR-139-3p, a New Potential Serum Biomarker for Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis

2020 ◽  
Vol 19 ◽  
pp. 153303382092096
Author(s):  
Yonghong Wang ◽  
Qimei Fang ◽  
Liru Tian ◽  
Zhongzhen Yuan ◽  
Lizhen Tian ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Esophageal Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Bioinformatics Analysis ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Hub Genes ◽  
Cancer Genome Atlas

Background: In recent studies, microRNAs have been demonstrated as stable detectable biomarkers in blood for cancer. In addition, computer-aided biomarker discovery has now become an attractive paradigm for precision diagnosis. Methods: In this study, we identified and evaluated miR-139-3p as a biomarker for screening of esophageal squamous cell carcinoma using the Cancer Genome Atlas and Gene Expression Omnibus database analyses. We identified possible miR-139-3p target genes through the predicted database and esophageal squamous cell carcinoma upregulated genes from the Cancer Genome Atlas and Gene. Bioinformatics analysis was performed to determine key miR-139-3p targets and pathways associated with esophageal carcinoma. Finally, the expression and expected significance of hub genes were evaluated via the Genotype-Tissue Expression project. Results: MiR-139-3p was significantly downregulated in patients with esophageal squamous cell carcinoma/esophageal carcinoma. In GSE 122497, the area under the curve-receiver operating characteristic value, sensitivity, and specificity for serum miR-139-3p were 0.754, 67.49%, and 80.00%, respectively. The pattern specification process, skeletal system development, and regionalization process were the most enriched interactions in esophageal carcinoma. In addition, Epstein-Barr virus infection, human T-cell leukemia virus 1 infection, and human cytomegalovirus infection were identified as crucial pathways. Six hub genes (CD1A, FCGR2A, ANPEP, CD1B, membrane metalloendopeptidase, and TWIST1) were found, and FCGR2A and membrane metalloendopeptidase were further confirmed by genotype-tissue expression. High expression of membrane metalloendopeptidase correlated with a better overall survival but not with disease-free survival of patients with esophageal carcinoma. Conclusions: MiR-139-3p was identified as a candidate biomarker for predicting esophageal squamous cell carcinoma based on network analysis. MiR-139-3p acted as a tumor suppressor by targeting membrane metalloendopeptidase in esophageal carcinoma, and low expression of membrane metalloendopeptidase may indicate a better prognosis of patients with esophageal carcinoma.

scholarly journals Integrative analysis of dysregulated lncRNA-associated ceRNA network reveals potential lncRNA biomarkers for human hepatocellular carcinoma

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8758 ◽  
Author(s):  
Chengyun Li ◽  
Wenwen Zhang ◽  
Hanteng Yang ◽  
Jilian Xiang ◽  
Xinghua Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Clinical Features ◽  
Bioinformatics Analysis ◽  
The Cancer Genome Atlas ◽  
Newly Diagnosed ◽  
Survival Times ◽  
Qrt Pcr ◽  
Cerna Network ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Background Hepatocellular carcinoma (HCC) is an aggressive cancer with a poor prognosis and a high incidence. The molecular changes and novel biomarkers of HCC need to be identified to improve the diagnosis and prognosis of this disease. We investigated the current research concentrations of HCC and identified the transcriptomics-related biomarkers of HCC from The Cancer Genome Atlas (TGCA) database. Methods We investigated the current research concentrations of HCC using literature metrology analysis for studies conducted from 2008 to 2018. We identified long noncoding RNAs (lncRNAs) that correlated with the clinical features and survival prognoses of HCC from The Cancer Genome Atlas (TGCA) database. Differentially expressed genes (lncRNAs, miRNAs, and mRNAs) were also identified by TCGA datasets in HCC tumor tissues. A lncRNA competitive endogenous RNA (ceRNA) network was constructed from lncRNAs based on intersected lncRNAs. Survival times and the association between the expression levels of the key lncRNAs of the ceRNA network and the clinicopathological characteristics of HCC patients were analyzed using TCGA. Real-time polymerase chain reaction (qRT-PCR) was used to validate the reliability of the results in tissue samples from 20 newly-diagnosed HCC patients. Results Analysis of the literature pertaining to HCC research revealed that current research is focused on lncRNA functions in tumorigenesis and tumor development. A total of 128 HCC dysregulated lncRNAs were identified; 66 were included in the co-expressed ceRNA network. We analyzed survival times and the associations between the expression of 66 key lncRNAs and the clinicopathological features of the HCC patients identified from TCGA. Twenty-six lncRNAs were associated with clinical features of HCC (P < 0.05) and six key lncRNAs were associated with survival time (log-rank test P < 0.05). Six key lncRNAs were selected for the validation of their expression levels in 20 patients with newly diagnosed HCC using qRT-PCR. Consistent fold changes in the trends of up and down regulation between qRT-PCR validation and TCGA proved the reliability of our bioinformatics analysis. Conclusions We used integrative bioinformatics analysis of the TCGA datasets to improve our understanding of the regulatory mechanisms involved with the functional features of lncRNAs in HCC. The results revealed that lncRNAs are potential diagnostic and prognostic biomarkers of HCC.

scholarly journals Bioinformatics analysis reveals the ceRNA co-expression network in tumor microenvironment and prognostic biomarkers in Sarcomas

2020 ◽  
Author(s):  
Dandan Zou ◽  
Yang Wang ◽  
Meng Wang ◽  
Bo Zhao ◽  
Fei Hu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Bioinformatics Analysis ◽  
Immune Therapy ◽  
The Cancer Genome Atlas ◽  
Protein Protein Interaction ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Tumor Microenviroment ◽  
Prognostic Prediction

Abstract Background Sarcomas (SARCs) are rare, heterogeneous mesenchymal neoplasia. To understand the tumor microenviroment (TME) and identify potential biomarkers for prognosis that associated with TME of SARCs might provide effective clues for immune therapy. Methods We evaluated the immune scores and stromal scores by using the RNA sequencing dataset of SARCs patients from The Cancer Genome Atlas (TCGA) database and the ESTIMATE algorithm. Then the differentially expressed mRNAs (DEGs), miRNAs (DEMs) and lncRNAs (DELs) were filtered after comparing the two high- and low- scores groups. Next, based on these DERNAs, we established a competing endogenous RNA (ceRNA) network and explored the prognostic roles of biomarkers involved in the network with the help of bioinformatics analysis. Results High immune scores were significantly associated with favorable overall survival of SARCs patients. Next, a total of 328 DEGs, 18 DEMs and 67 DELs that commonly regulated in the immune and stromal scores groups were obtained. And for the DEGs, some of the Gene Ontology (GO) terms and pathways were mainly associated with immune processes. A ceRNA network were constructed with 142 nodes and 424 edges, in which hsa-miR-9-5p, hsa-miR-490-3p, hsa-miR-133a-3p, hsa-miR-133b and hsa-miR-129-5p were the top 5 nodes. Additionally, the protein-protein Interaction (PPI) network identified MMP9, TYROBP, CSF1, CXCR4, FBN1, FLNA, PDGFRB, CYBB, FCGR3A and MYH11 as hub nodes with considerable importance that functioned in the network. Finally, the Kaplan-Meier survival analysis demonstrated that 9 mRNAs (APOL1, EFEMP1, LYZ, MEDAG, MYH11, RARRES1, TNFAIP2, TNFSF10 and ZNF385A), 2 miRNAs (hsa-miR-9-5p and hsa-miR-183-5p) and 3 lncRNAs (CTD-2228K2.7, HOTAIRM1 and NCF1C) were closely associated with the overall survival of SARCs patients. Conclusions Taken together, our study confirmed that the prognosis value of immune scores for SARCs patients, also we identified a list of TME-related biomarkers which might contribute to prognostic prediction and help improve the efficacy of immune therapy.

scholarly journals Mild Autonomous Cortisol Secretion in Primary Aldosteronism Enhances Renal and Hemorrhagic Cerebrovascular Complications

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A294-A294
Author(s):  
Ren Matsuba ◽  
Takuyuki Katabami ◽  
Isao Kurihara ◽  
Takamasa Ichijo ◽  
Yoshiyu Takeda ◽  
...  
Keyword(s):  
Primary Aldosteronism ◽  
Cerebral Hemorrhage ◽  
Adrenal Tumor ◽  
Serum Cortisol ◽  
Tumor Diameter ◽  
Cortisol Secretion ◽  
Acth Stimulation ◽  
Plasma Aldosterone Concentration ◽  
Cerebrovascular Complications ◽  
Autonomous Cortisol Secretion

Abstract Background: It is well known that primary aldosteronism (PA) is often associated with renal dysfunction and cardiovascular events (CVEs). However, the synergic effect of mild autonomous cortisol secretion (MACS) on the co-morbidities among PA has not been clarified yet. Thus, we retrospectively assessed whether the presence of MACS in PA patients with adrenal tumor, which may have MACS, to enhance the risk of the complications using a large Japanese multicenter database. Methods: We enrolled patients with both confirmed PA and obvious adrenal tumor (diameter &gt; 1 cm) on computed tomography. The subtype of PA was diagnosed based on the results of adrenal venous sampling with ACTH stimulation. A total of 575 study subjects were stratified into two groups according to 1-mg dexamethasone suppression test (DST) results (cut-off post-DST serum cortisol 1.8 µg/dL): MACS group (N=174, 30.2%) and non-MACS group (N=401, 69.8%). Decreased estimated glomerular filtration rate (eGFR) was defined as &lt;60 ml/min per 1.73m2. Results: The percentage of unilateral PA between the MACS and non-MACS group was equivalent (50.0% vs. 48.1%). Prevalence of decreased eGFR in the MACS group was higher than in the non-MACS group [odds ratio (OR) 1.91, 95% confidence interval (95% CI) 1.20–3.04, P=0.006]. Conversely, prevalence of MACS was higher in patients with decreased eGFR than those without decreased eGFR (42.7% vs 28.0%, P=0.008). Proteinuria was deteriorated with the increase in post-DST serum cortisol concentration as well as the basal plasma aldosterone concentration (PAC) (P=0.028 and P&lt;0.001, respectively), although PAC but not the presence of MACS was selected as an independent factor related with decreased eGFR. Prevalence of cerebral hemorrhage in the MACS group was higher than the non-MACS group. (OR 5.35, 95%CI 1.83–15.6, P=0.002). We found that MACS was the only significant factor which increased the odds of developing cerebral hemorrhage (OR 9.13, 95%CI 2.15–38.90, P=0.003). Prevalence of other CVEs between the two groups was similar. Regardless of the PA subtype, complication rate of decreased eGFR and cerebral bleeding in the MACS group were significantly or tend to be higher than non-MACS group. Conclusion: Our date strongly suggested that co-secretion of cortisol in PA directly and/or indirectly increase renal and cerebrovascular comorbidities. Given that MACS is common in PA, endocrinological testing with DST is recommended in PA patients, especially those with adrenal tumor on imaging. (Supported by Research Grants of AMED:JP17ek0109122, JP20ek0109352; National Center for Global Health and Medicine:27–1402, 30–1008), and Ministry of Health, Labour, and Welfare, Japan (046).

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