Prolonged Exposure to Simulated Microgravity Changes Release of Small Extracellular Vesicle in Breast Cancer Cells.
Petra M WiseJayashree SahanaPaolo NevianiThomas Juhl CorydonHerbert SchulzMarkus WehlandManfred InfangerDaniela GrimmPublished in: International journal of molecular sciences (2022)
Breast cancer is the leading cause of cancer incidence worldwide and among the five leading causes of cancer mortality. Despite major improvements in early detection and new treatment approaches, the need for better outcomes and quality of life for patients is still high. Extracellular vesicles play an important role in tumor biology, as they are able to transfer information between cells of different origins and locations. Their potential value as biomarkers or for targeted tumor therapy is apparent. In this study, we analyzed the supernatants of MCF-7 breast cancer cells, which were harvested following 5 or 10 days of simulated microgravity on a Random Positioning Machine (RPM). The primary results showed a substantial increase in released vesicles following incubation under simulated microgravity at both time points. The distribution of subpopulations regarding their surface protein expression is also altered; the minimal changes between the time points hint at an early adaption. This is the first step in gaining further insight into the mechanisms of tumor progression, metastasis, the education of the tumor microenvironments, and preparation of the metastatic niche. Additionally, this may lighten up the processes of the rapid cellular adaptions in the organisms of space travelers during spaceflights.
Keyphrases
- breast cancer cells
- papillary thyroid
- end stage renal disease
- squamous cell
- small cell lung cancer
- newly diagnosed
- healthcare
- induced apoptosis
- ejection fraction
- risk factors
- squamous cell carcinoma
- chronic kidney disease
- childhood cancer
- prognostic factors
- adipose tissue
- peritoneal dialysis
- drug delivery
- magnetic resonance
- cancer therapy
- type diabetes
- young adults
- deep learning
- machine learning
- combination therapy
- bone marrow
- risk assessment
- oxidative stress
- health information
- high resolution
- mesenchymal stem cells
- cell proliferation
- weight loss
- replacement therapy
- endoplasmic reticulum stress