HIF1A transcriptional regulation of COX4I2 impacts angiogenesis in pheochromocytoma.

BACKGROUND: Pheochromocytoma (PCC) is a rare neuroendocrine tumor. Angiogenesis is primary contributing factor for tumorigenesis. Cytochrome c oxidase 4I2 (COX4I2) has been confirmed to take part in the progression of cancer. Hypoxia-inducible factor 1A (HIF1A) is the main regulatory factor for the steady-state response of hypoxia, involved in metabolism and angiogenesis. In this study, we intended to explore the functions of COX4I2 in PCC and the effect mechanism between HIF1A and COX4I2. MATERIALS AND METHODS: The RNA-sequencing and immunohistochemistry tested COX4I2 expression in highly vascular PCC. Small interfering RNA (siRNA) was used to reduce the mRNA expression of COX4I2, and a small molecule inhibitor was utilized to reduce the protein expression of HIF1A. Culturing cells in 1% O2environment was performed to activate HIF1A. Western blot was applied to quantify the expression of target genes at the protein levels. The supernatant from PCC cells and fibroblasts acted as the conditioned medium. We conducted the tube formation and transwell assays in human vascular endothelial cells (HUVECs) to determine angiogenesis, the binding of COX4I2 promoter and HIF1A was evaluated by the dual luciferase reporter assay. RESULTS: COX4I2 had been rigorously shown to be overexpressed in highly vascular PCC. Knockdown of COX4I2 in PCC cells (MPC) did not significantly impact angiogenesis, while knockdown of COX4I2 in fibroblast (3T3) notably inhibited angiogenesis. RNA sequencing suggested that the expression of 11 vascular markers, such as CD34 and angiogenesis associated pathways in 3T3, decreased with knockdown of COX4I2. HIF1A had been shown to enhance the mRNA expression of COX4I2 through transcriptional regulation. Activation and inhibition of HIF1A resulted in upregulation and downregulation of COX4I2, respectively. The HIF1A inhibitor demonstrated a reduction in angiogenesis. CONCLUSION: COX4I2 is overexpressed in highly vascular PCC and contributes to angiogenesis in fibroblasts. Mechanistically, HIF1A transcriptional regulation enhances COX4I2 and its effects on angiogenesis in PCC. COX4I2 might serve as a vascular marker and represent a potential target for vascular therapy.

ID2 Promotes Lineage Transition of Prostate Cancer through FGFR and JAK-STAT Signaling.

The use of androgen receptor pathway inhibitors (ARPIs) has led to an increase in the proportion of AR-null prostate cancer, including neuroendocrine prostate cancer (NEPC) and double-negative prostate cancer (DNPC), but the mechanism underlying this lineage transition has not been elucidated. We found that ID2 expression was increased in AR-null prostate cancer. In vitro and in vivo studies confirmed that ID2 promotes PCa malignancy and can confer resistance to enzalutamide in PCa cells. We generated an ID2 UP50 signature, which is capable of determining resistance to enzalutamide and is valuable for predicting patient prognosis. Functional experiments showed that ID2 could activate stemness-associated JAK/STAT and FGFR signaling while inhibiting the AR signaling pathway. Our study indicates a potentially strong association between ID2 and the acquisition of a stem-like phenotype in adenocarcinoma cells, leading to resistance to androgen deprivation therapy (ADT) and next-generation ARPIs in prostate cancer.

Network pharmacology combined with molecular docking and experimental verification to elucidate functional mechanism of Fufang Zhenzhu Tiaozhi against type 2 diabetes mellitus.

Fufang Zhenzhu Tiaozhi (FTZ) capsules have been prescribed for treating glucose and lipid metabolism disorders such as type 2 diabetes mellitus (T2DM). However, the underlying mechanism remains unknown. In this study, network pharmacology and experimental verification were combined to investigate the mechanisms of FTZ in treating T2DM. A total of 176 active ingredients and 1169 corresponding targets were screened using biological databases. 598 potential targets of T2DM were retrieved from GeneCards, PharmGKB, OMIM, Drugbank, and TTD. The Venn diagram was employed to identify the 194 intersection targets, which were employed to construct the "Herb-Compound-Target" interacting networks. These common targets were also used to prepare a protein-protein interaction (PPI) network to uncover potential targets. The four core targets were docked to their corresponding targets for binding analysis. Additionally, the top-ranked poses of ingredients and the positive compounds from each protein were evaluated for stability using molecular dynamics. Our results suggest that core active ingredients such as kaempferol, luteolin, and baicalein have high binding affinity and stability with AKT1, PTGS2 (also known as COX-2), DPP4, and PAPRG. GO and KEGG analyses indicated that the treatment T2DM by FTZ might be related to different pathway like AMPK and EGFR pathways. The experimental validation results proved that kaempferol, luteolin, and baicalein could significantly inhibit the activity of DPP4 and COX-2, kaempferol and luteolin were also able to activate AKT and AMPK signaling pathway. This study further validated previous findings and enhanced our understanding of the potential effects of FTZ on T2DM.Communicated by Ramaswamy H. Sarma.

A dynamic nomogram integrated with blood inflammation markers for predicting overall survival in patients with upper tract urothelial carcinoma.

Background: Upper tract urothelial carcinoma (UTUC) is a relatively rare disease with a poor prognosis. A growing body of evidence demonstrates that inflammation and the inflammatory microenvironment play a crucial role in tumorigenesis and tumor progression. Our aim was to evaluate the prognostic value of blood inflammation markers and develop a prediction model that incorporates inflammation markers in order to predict overall survival (OS) of UTUC. Methods: We included 304 localized UTUC patients from two medical institutions who had undergone radical nephroureterectomy (RNU) (167 in the training cohort, 137 in the validation cohort). Univariate and multivariate Cox regression analyses were performed to screen the prognostic factors, and a nomogram and a web-based calculator were generated based on these predictors. The Harrell's concordance index (C-index), the area under the receiver operating characteristic (ROC) curve, the calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. Results: Independent predictors incorporated in the nomogram were pathological stage, surgical margin, albumin-to-globulin ratio (AGR), and hemoglobin-to-red cell distribution width ratio (HRR). The c-index value was 0.726 in the training cohort and 0.761 in the validation cohort. The area under the ROC of the nomogram at 1-, 3- and 5-year in the training and validation sets were 0.765, 0.755, 0.763, and 0.791, 0.833, 0.802, respectively. Both the internal and external validation calibration plots showed a subtle distinction between the predicted and the actual probabilities. And it appears to provide incremental benefits for clinical decision-making in comparison to the American Joint Committee of Cancer (AJCC) staging system. Conclusions: In patients with UTUC after RNU, lower preoperative AGR and HRR were independent predictors of inferior survival. In addition, we created a novel blood inflammation marker-based dynamic nomogram that may be useful for surgeons or oncologists in risk stratification and patient selection for more intensive therapy and closer follow-up.

Artificial intelligence with a deep learning network for the quantification and distinction of functional adrenal tumors based on contrast-enhanced CT images.

Background: Functional adrenal tumors (FATs) are mainly diagnosed by biochemical analysis. Traditional imaging tests have limitations and cannot be used alone to diagnose FATs. In this study, we aimed to establish an artificially intelligent diagnostic model based on computed tomography (CT) images to distinguish different types of FATs. Methods: A cohort study of 375 patients diagnosed with hyperaldosteronism (HA), Cushing's syndrome (CS), and pheochromocytoma in our center between March 2015 and June 2020 was conducted. Retrospectively, patients were randomly divided into three data sets: the training set (270 cases), the testing set (60 cases), and the retrospective trial set (45 cases). An artificially intelligent diagnostic model based on CT images was established by transferring data from the training set into the deep learning network. The testing set was then used to evaluate the accuracy of the model compared to that of physicians' judgments. The retrospective trial set was used to evaluate the quantification and distinction performance. Results: The deep learning model achieved an average area under the receiver operating characteristic (ROC) curve (AUC) of 0.915, and the AUCs in all three FAT types were greater than 0.882. The AUC of the model tested on the retrospective dataset reached above 0.849. In the quantitative evaluation of tumor lesion area recognition, the diagnostic model also obtained a segmentation Dice coefficient of 0.69. With the help of the proposed model, clinicians reached 92.5% accuracy in distinguishing FATs, compared to 80.6% accuracy when using only their judgment (P<0.05). Conclusions: The result of our study shows that the diagnostic model based on a deep learning network can distinguish and quantify three common FAT types based on texture features of contrast-enhanced CT images. The model can quantify and distinguish functional tumors without any endocrine tests and can assist clinicians in the diagnostic procedure.

Integration of transcriptomics and metabolomics reveals pathways involved in MDSC supernatant attenuation of TGF-ß1-induced myofibroblastic differentiation of mesenchymal stem cells.

Overexposure to transforming growth factor b1 (TGF-ß1) induces myofibroblastic differentiation of mesenchymal stem cells (MSCs), which could be attenuated by myeloid-derived suppressor cell (MDSC) supernatant. However, the promyofibroblastic effects of TGF-ß1 and the antimyofibroblastic effects of MDSC supernatant in MSCs have not been fully elucidated. To further clarify the latent mechanism and identify underlying therapeutic targets, we used an integrative strategy combining transcriptomics and metabolomics. Bone marrow MSCs were collected 24 h following TGF-ß1 and MDSC supernatant treatment for RNA sequencing and untargeted metabolomic analysis. The integrated data were then analyzed to identify significant gene-metabolite correlations. Differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs) were assessed by Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses for exploring the mechanisms of myofibroblastic differentiation of MSCs. The integration of transcriptomic and metabolomic data highlighted significantly coordinated changes in glycolysis/gluconeogenesis and purine metabolism following TGF-ß1 and MDSC supernatant treatment. By combining transcriptomic and metabolomic analyses, this study showed that glycolysis/gluconeogenesis and purine metabolism were essential for the myofibroblastic differentiation of MSCs and may serve as promising targets for mechanistic research and clinical practice in the treatment of fibrosis by MDSC supernatant.

Fibroblasts mediate the angiogenesis of pheochromocytoma by increasing COX4I2 expression.

Objective: Our previous work found COX4I2 was associated with angiogenesis in pheochromocytoma. The purpose of this study was to explore the role of COX4I2 in regulating angiogenesis in pheochromocytoma. Methods: Distribution of COX4I2 was evaluated by scRNA-seq in one case of pheochromocytoma and the findings were verified by immunostaining. COX4I2 was further knocked down in target cells. Changes of angiogenesis-related genes were evaluated by qPCR in target cells. Results: The scRNA-seq revealed high mRNA expression of COX4I2 in fibroblasts rather than tumor cells. Immunostaining of COX4I2 confirmed its distribution in fibroblasts. Knocking down COX4I2 in NIH3T3 cell line led to significant reduction of angiogenesis-related genes, especially ANG1 and HGF. Conclusions: Fibroblasts mediate the angiogenesis of pheochromocytoma by increasing COX4I2 expression, possibly by affecting ANG1 and HGF.

High TNFSF13B expression as a predictor of poor prognosis in adrenocortical carcinoma.

BACKGROUND: Adrenocortical carcinoma (ACC) is an extremely rare malignant tumor with poor prognosis. Existing treatment options have limited effects, and new therapeutic targets urgently need to be discovered. TNFSF13B has been reported to be associated with the prognosis of clear cell renal cell carcinoma, but it has not been studied in ACC. METHODS: TNFSF13B expression was analyzed and compared between ACC tumors and normal tissues by using public datasets from TCGA and GTEx. Kaplan-Meier analysis was employed to evaluate survival, and Cox regression was employed to evaluate clinicopathologic features. The upstream and downstream regulatory mechanisms of TNFSF13B were also analyzed. GSEA was performed to explore the mechanisms of TNFSF13B in ACC. Finally, 14 ACC clinical samples were used to verify the relationships between TNFSF13B expression and disease-free survival (DFS) and overall survival (OS). RESULTS: TNFSF13B expression was significantly higher in ACC tissues than in normal tissues. The prognosis of ACC patients with high TNFSF13B expression was worse than that of patients with low TNFSF13B expression. High TNFSF13B expression was strongly correlated with poor prognosis, and TNFSF13B was a prognostic factor. TNFSF13B expression is modified by upstream miRNAs, methylation and ubiquitination, and downstream, it interacts with other proteins. GSEA showed that regulation of cholesterol biosynthesis by SREBP and SREBF, downstream signaling events of the B cell receptor (BCR) and activation of gene expression by SREBF and SREBP were significantly enriched in the TNFSF13B high-expression phenotype. Clinical samples confirmed that TNFSF13B expression was significantly associated with DFS but not with OS. CONCLUSIONS: TNFSF13B may be a potential prognostic molecular marker of poor survival in ACC patients, offering a new therapeutic target.

COX4I2 is a novel biomarker of blood supply in adrenal tumors.

BACKGROUND: Previous study has been reported that COX4I2 expression level demonstrated a positive correlation with microvessel density in pheochromocytomas (PCC) samples, suggesting that the expression of COX4I2 maybe related to blood supply level in other adrenal tumors as well. The aim of this study is to clarify the correlation of COX4I2 expression and blood supply in adrenal tumors. METHODS: A total of 84 patients were recruited, among which 46 was diagnosed as adrenocortical adenoma (ACA) and 38 was diagnosed as PCC. Contrast-enhanced CT values were used to evaluate the blood supply levels in those patients. The expression of mRNA was examined by quantitative real-time polymerase chain reaction (qPCR) and protein was detected by immunohistochemistry (IHC). RESULTS: The COX4I2 expression level in PCC group is significantly higher than that in ACA group (P<0.01). The expression of angiogenesis-related genes EPAS1, VEGFA and KDR mRNA in PCC group is higher than that of ACA group (P<0.05). Correlation analysis shows COX4I2 expression level is correlated with CT values (P<0.001), intraoperative blood loss (P<0.05) and operation time (P<0.05), and the expression of COX4I2 mRNA is correlated with EPAS1, VEGFA and KDR mRNA (P<0.01). CONCLUSIONS: The results displayed a distinct expression level of COX4I2 between ACA and PCC, suggesting that COX4I2 is a novel biomarker of blood supply in adrenal tumors. This research also opens the possibility for further research on COX4I2 as a novel target for anti-tumor angiogenesis.

Bioinformatics analysis of pathways of renal infiltrating macrophages in different renal disease models.

BACKGROUND: Recent studies have suggested that macrophages are significantly involved in different renal diseases. However, the role of these renal infiltrating macrophages has not been entirely uncovered. To further clarify the underlying mechanism and identify therapeutic targets, a bioinformatic analysis based on transcriptome profiles was performed. METHODS: Three transcription profiling datasets, GSE27045, GSE51466 and GSE75808, were obtained from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were assessed by Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and gene set enrichment analysis (GSEA). RESULTS: The classic signaling pathways and metabolic pathways of macrophages infiltrating the kidney in different pathophysiological processes, including lupus nephritis (LN), renal crystal formation and renal ischemia-reperfusion injury (IRI), were analysed. Furthermore, the common classical pathways significantly altered in the three renal disorders were the oxidative phosphorylation, VEGF signaling and JAK/STAT signaling pathways, while the renin-angiotensin system was uniquely altered in LN, the glycolysis and gluconeogenesis pathways were uniquely altered in models of renal crystal formation, and the calcium signaling pathway was specific to renal IRI. CONCLUSIONS: Via bioinformatics analysis, this study revealed the transcriptional features of macrophages in murine LN, renal crystal formation and IRI models, which may serve as promising targets for mechanistic research and the clinical treatment of multiple renal diseases.

Propensity Score Matched Analysis Comparing Robotic-Assisted with Laparoscopic Posterior Retroperitoneal Adrenalectomy.

OBJECTIVES: To compare the perioperative outcomes between robotic posterior retroperitoneal adrenalectomy (RPRA) with laparoscopic posterior retroperitoneal adrenalectomy (LPRA) for adrenal tumors and to identify which group of patients may benefit from RPRA. METHODS: A total of 401 patients who fulfilled the inclusion criteria were collected and analyzed; among them, 86 and 315 patients underwent RPRA and LPRA, respectively. To adjust for potential baseline confounders, propensity score matching (PSM) was conducted at a 1:1 ratio. Patient demographics and perioperative outcomes were compared between the two groups. RESULTS: After matching, no differences were found between the two groups in patient demographics or tumor characteristics. The median length of postoperative stay (3 vs. 4 days, p = 0.001) was significantly shorter in the RPRA group, but this group also showed a higher median total hospitalization cost (8121.89 vs. 4107.92 $, p < 0.001). There was no difference in the median operative duration (100 vs. 110 min, p = 0.554), median estimated blood loss (50 vs. 50 ml, p = 0.730), transfusion rate (p = 0.497) or incidence of postoperative complications (p = 0.428). CONCLUSIONS: According to our research, RPRA leads to a shorter postoperative hospitalization stay but a higher total hospitalization cost than LPRA after propensity score matching.

Surgical outcomes of a randomized controlled trial compared robotic versus laparoscopic adrenalectomy for pheochromocytoma.

BACKGROUND: Robotic adrenalectomy for pheochromocytoma is increasingly popular because of the advantage that have been proved by some researchers recently. However, prospective randomized clinical trials comparing robotic assisted laparoscopic adrenalectomy (RA) with traditional laparoscopic adrenalectomy (LA) for pheochromocytoma are rare. The aim of this study is to compare perioperative outcomes of RA versus LA for pheochromocytoma prospectively. METHODS: From March 2016 to April 2019, all patients with pheochromocytoma suitable for laparoscopic adrenalectomy were assigned randomly to RA or LA. The primary endpoint was the operative (exclude docking time) time. Secondary endpoints were estimated blood loss and postoperative recovery. Demographics and perioperative data were prospectively collected. RESULTS: A total of 140 (RA 70, LA 70) patients were enrolled in this prospective research. The following significant differences were identified in favor of RA: shorter median operative (exclude docking time) time (92.5 vs 122.5 min, P = 0.007), however, RA group has higher total hospitalization cost (8869.9 vs 4721.8 $, P < 0.001). Demographics and other perioperative outcomes were similar in both groups. The RA group showed a significant lower blood loss and operative (exclude docking time) time compared with LA group (P < 0.05) for patients with high Nor-Metanephrine (NMN). CONCLUSIONS: Both RA and LA for pheochromocytoma are safe and effective. Patients with high NMN can benefit from less blood loss and operative time when a robotic surgery system was used, but RA has a significant higher cost.

Exploration of the Brn4-regulated genes enhancing adult hippocampal neurogenesis by RNA sequencing.

Adult hippocampal neurogenesis is essential for learning and memory, and its dysfunction is involved in neurodegenerative diseases. However, the molecular mechanisms underlying adult hippocampal neurogenesis are still largely unknown. Our previous studies indicated that the transcription factor Brn4 was upregulated and promoted neuronal differentiation of neural stem cells (NSCs) in the surgically denervated hippocampus in rats. In this study, we use high-throughput RNA sequencing to explore the molecular mechanisms underlying the enhancement of adult hippocampal neurogenesis induced by lentivirus-mediated Brn4 overexpression in vivo. After 10 days of the lentivirus injection, we found that the expression levels of genes related to neuronal development and maturation were significantly increased and the expression levels of genes related to NSC maintenance were significantly decreased, indicating enhanced neurogenesis in the hippocampus after Brn4 overexpression. Through RNA sequencing, we found that 658 genes were differentially expressed in the Brn4-overexpressed hippocampi compared with GFP-overexpressed controls. Many of these differentially expressed genes are involved in NSC division and differentiation. By using quantitative real-time PCR, we validated the expression changes of three genes, including Ctbp2, Notch2, and Gli1, all of which are reported to play key roles in neuronal differentiation of NSCs. Importantly, the expression levels of Ctbp2 and Notch2 were also significantly changed in the hippocampus of Brn4 KO mice, which indicates that the expression levels of Ctbp2 and Notch2 may be directly regulated by Brn4. Our current study provides a solid foundation for further investigation and identifies Ctbp2 and Notch2 as possible downstream targets of Brn4. © 2017 Wiley Periodicals, Inc.

[Identification of a novel HLA allele HLA-B*55:35].

OBJECTIVE: To identify a novel human leukocyte antigen (HLA) B allele and explore its family heritage. METHODS: A novel HLA allele was suspected upon routine HLA typing using a polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSOP) assay. The sequence was confirmed with DNA sequencing and compared with its closest matching allele, B*55:02. The family was also investigated. RESULTS: An unusual reaction pattern was detected during routine HLA typing. The sequence was confirmed to be a novel HLA-B allele, which differed from the closest matching allele, B*55:02 in 7 nt positions in exon 2. Among the 7 mutations from 6 codons, there were two amino acids changes including 69Glu→Met and 70Glu→Ala. CONCLUSION: A novel HLA-B allele has been identified and officially named as B*55:35 by the WHO Nomenclature Committee for Factors of the HLA System (GenBank accession number FJ898284).