ArticleExperimental cell research2020
Comparative gene expression analysis in melanocytes driven by tumor cell-derived exosomes.
Article in Experimental cell research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Data-driven energy landscape reveals critical genes in cancer progression.NPJ systems biology and applications · 2024Article
- PSMA1 mediates tumor progression and poor prognosis of gastric carcinoma by deubiquitinating and stabilizing TAZ.Cell death & disease · 2022Article
- Identifying the critical states and dynamic network biomarkers of cancers based on network entropy.Journal of translational medicine · 2022Article
- Multi-Omics Data Integration in Extracellular Vesicle Biology-Utopia or Future Reality?International journal of molecular sciences · 2020Review
- Proteomic Profiling of Serum Exosomes From Patients With Metastatic Gastric Cancer.Frontiers in oncology · 2020Article
- Conditioned Media-Derived Tumor Extracellular Vesicles: Bridging Molecular Insights and Therapeutic Applications in Oncology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Abundant with organelle-like membranous structures, the tumor microenvironment is composed of cancer cells that secrete exosomes. Studies have shown that these secreted exosomes transport RNA and active molecules to other cells to reshape the tumor microenvironment and promote tumor growth. In fact, we found that exosomes derived from melanoma cells drive pre-malignant transition in primary melanocytes. However, there is little available in the scientific literature on how exosomes modulate melanocytes in the microenvironment to optimize conditions for tumor progression and metastasis. We therefore focused this current study on identifying these conditions genetically. Through RNA sequencing, we analyzed gene expression levels of melanocytes driven by exosomes derived from melanoma and lung cancer cells compared with those without exosome controls. Significant differences were found in gene expression patterns of melanocytes driven by exosomes derived from melanoma and lung cancer cells. In the melanocytes responding to exosomes derived from melanoma cells, genes of lipopolysaccharide and regulation of leukocyte chemotaxis were predominant. In the melanocytes responding to exosomes derived from lung cancer cells, genes of DNA replication and mitotic nuclear division played an important role. These results provide further mechanistic understanding of tumor progression promoted by tumor-derived exosomes. This will also help identify potential therapeutic targets for melanoma progression.
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Registered trials
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