Comparative gene expression analysis in melanocytes driven by tumor cell-derived exosomes

Xiao, Deyi; Li, Xiaohong; Rouchka, Eric C.; Waigel, Sabine; Zacharias, Wolfgang; McMasters, Kelly M.; Hao, Hiroyuki

doi:10.1016/j.yexcr.2019.111690

Cited by 7 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Exosomes are nanometer-sized (30–200 nm) membrane-enclosed extracellular vehicles (EVs) ( 7 , 8 ). They originate intracellularly in endosomes and are released into the extracellular environment when multivesicular bodies (MVBs) fused with plasma membranes ( 9 – 11 ). In 1980, exosomes were thought to represent non-specific waste that resulted from the maturation of reticulocytes into erythrocytes ( 12 , 13 ).…”

Section: Introductionmentioning

confidence: 99%

Proteomic Profiling of Serum Exosomes From Patients With Metastatic Gastric Cancer

et al. 2020

View full text Add to dashboard Cite

Background: Clinical management of metastatic gastric cancer (mGC) remains a major challenge due to a lack of specific biomarkers and effective therapeutic targets. Recently, accumulating evidence has suggested that exosomes play an essential role in cancer metastasis and can be an excellent reservoir of novel biomarkers and candidate therapeutic targets for cancer. Therefore, in this study, we aimed to reveal the proteomic profile of mGC-derived exosomes. Methods: Exosomes were isolated from pooled serum samples of 20 mGC patients and 40 healthy controls (HC) by ultracentrifugation. Next, quantitative proteomic analyses were applied to analyze the protein profiles of the exosomes, and bioinformatic analyses were conducted on the proteomic data. Finally, the expression of exosomal protein candidates was selectively validated in individual subjects by western blot analysis. Results: We isolated exosomes from serum samples. The size of the serum derived exosomes ranged from 30 to 150 nm in diameter. The exosomal markers CD9 and CD81 were observed in the serum exosomes. However, the exosomal negative marker calnexin, an endoplasmic reticulum protein, was not detected in exosomes. Overall, 443 exosomal proteins, including 110 differentially expressed proteins (DEPs) were identified by quantitative proteomics analyses. The bioinformatics analyses indicated that the upregulated proteins were enriched in the process of protein metabolic, whereas the downregulated proteins were largely involved in cell-cell adhesion organization. Surprisingly, 10 highly vital proteins (UBA52,

show abstract

Section: Introductionmentioning

confidence: 99%

Proteomic Profiling of Serum Exosomes From Patients With Metastatic Gastric Cancer

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Activation of the PI3K-Akt pathway and pathways in cancer has been reported to be involved in the development and progression of lung cancer [ 28 ]. In melanocytes driven by lung cancer cell-derived exosomes, the cell cycle pathway may contribute to tumor progression more than any other pathway [ 29 ]. For the urinary system (KIRP and KIRC) (Fig.…”

Section: Resultsmentioning

confidence: 99%

Identifying the critical states and dynamic network biomarkers of cancers based on network entropy

et al. 2022

View full text Add to dashboard Cite

Background There are sudden deterioration phenomena during the progression of many complex diseases, including most cancers; that is, the biological system may go through a critical transition from one stable state (the normal state) to another (the disease state). It is of great importance to predict this critical transition or the so-called pre-disease state so that patients can receive appropriate and timely medical care. In practice, however, this critical transition is usually difficult to identify due to the high nonlinearity and complexity of biological systems. Methods In this study, we employed a model-free computational method, local network entropy (LNE), to identify the critical transition/pre-disease states of complex diseases. From a network perspective, this method effectively explores the key associations among biomolecules and captures their dynamic abnormalities. Results Based on LNE, the pre-disease states of ten cancers were successfully detected. Two types of new prognostic biomarkers, optimistic LNE (O-LNE) and pessimistic LNE (P-LNE) biomarkers, were identified, enabling identification of the pre-disease state and evaluation of prognosis. In addition, LNE helps to find “dark genes” with nondifferential gene expression but differential LNE values. Conclusions The proposed method effectively identified the critical transition states of complex diseases at the single-sample level. Our study not only identified the critical transition states of ten cancers but also provides two types of new prognostic biomarkers, O-LNE and P-LNE biomarkers, for further practical application. The method in this study therefore has great potential in personalized disease diagnosis.

show abstract

“…Some proteasomes have been found to aberrantly during carcinogenesis in various types of cancers. Studies have shown that PSMA5 is related to the pathogenic process of prostate cancer and colon cancer [23] and upregulated in lung adenocarcinoma [24]. PSMA2, PSMA3, PSMA4, PSMA6, and PSMA7 showed high expression levels, which were correlated with poor survival of breast cancer patients [25].…”

Section: Discussionmentioning

confidence: 99%

PSMA1 mediates tumor progression and poor prognosis of gastric carcinoma by deubiquitinating and stabilizing TAZ

Yang

Shangguan

et al. 2022

Cell Death Dis

View full text Add to dashboard Cite

The deubiquitinating enzyme family in tumor progression play important role in intracellular protein degradation. The proteasome subunit alpha type 1 (PSMA1) has been reported to act as an oncogene in several human cancers. The present study aimed to reveal the functional significance of PSMA1 in gastric cancer (GC) progression and the underlying mechanisms. The expression of PSMA1 in human GC samples and GC cell lines was examined by western blot analysis, real-time PCR, immunohistochemistry (IHC), and in vitro ubiquitination assays and established a xenograft mouse model. We found that PSMA1 was upregulated in GC and promoted proliferation, migration and invasion in GC cells. Herein, we report transcriptional co-activator with PDZ-binding motif (TAZ) was a downstream gene of PSMA1. Mechanistically, PSMA1 directly interacted with and stabilized TAZ via deubiquitination in GC. Furthermore, we found that TAZ was the essential mediator of PSMA1-modulated oncogenic activity in vitro and in vivo. Examination of clinical samples confirmed that elevated mediators of PSMA1, concomitant with increased TAZ abundance, correlate with human GC progression. These data suggested that PSMA1 promotes GC progression and proliferation by deubiquitinating TAZ. PSMA1 promotes GC progression and proliferation regarding PSMA1-mediated deubiquitinating enzyme activity and suggest potential therapeutic targets for GC management.

show abstract

Comparative gene expression analysis in melanocytes driven by tumor cell-derived exosomes

Cited by 7 publications

References 25 publications

Proteomic Profiling of Serum Exosomes From Patients With Metastatic Gastric Cancer

Proteomic Profiling of Serum Exosomes From Patients With Metastatic Gastric Cancer

Identifying the critical states and dynamic network biomarkers of cancers based on network entropy

PSMA1 mediates tumor progression and poor prognosis of gastric carcinoma by deubiquitinating and stabilizing TAZ

Contact Info

Product

Resources

About