The EphA2 Receptor Regulates Invasiveness and Drug Sensitivity in Canine and Human Osteosarcoma Cells.
Evelyn D HarrisJessica C SharpeTimothy StrozenShabnam AbdiMaya KliewerMalkon G SanchezNatacha S HoganValerie MacDonald-DickinsonFranco J VizeacoumarBehzad M ToosiPublished in: Cells (2024)
Osteosarcoma is an aggressive bone cancer affecting both humans and dogs, often leading to pulmonary metastasis. Despite surgery and chemotherapy being the primary treatment modalities, survival rates remain low in both species, underscoring the urgent need for more efficacious therapeutic options. Accumulating evidence indicates numerous biological and clinical similarities between human and canine osteosarcoma, making it an ideal choice for comparative oncological research that should benefit both species. The EphA2 receptor has been implicated in controlling invasive responses across different human malignancies, and its expression is associated with poor prognosis. In this study, we utilized a comparative approach to match EphA2 functions in human and canine osteosarcoma models. Our objectives were to assess EphA2 levels and its pro-malignant action in osteosarcoma cells of both species. We found that EphA2 is overexpressed in most of both canine and human osteosarcoma cell lines, while its silencing significantly reduced cell viability, migration, and invasion. Moreover, EphA2 silencing enhanced the sensitivity of osteosarcoma cells to cisplatin, a drug commonly used for treating this cancer. Furthermore, inhibition of EphA2 expression led to a significant reduction in tumor development capability of canine osteosarcoma cells. Our data suggest that these EphA2 effects are likely mediated through various signaling mechanisms, including the SRC, AKT, and ERK-MAPK pathways. Collectively, our findings indicate that EphA2 promotes malignant behaviors in both human and canine osteosarcoma and that targeting EphA2, either alone or in combination with chemotherapy, could offer potential benefits to osteosarcoma patients.
Keyphrases
- poor prognosis
- endothelial cells
- induced apoptosis
- induced pluripotent stem cells
- pluripotent stem cells
- cell cycle arrest
- signaling pathway
- long non coding rna
- oxidative stress
- risk assessment
- pi k akt
- cell proliferation
- drug delivery
- cancer therapy
- machine learning
- acute coronary syndrome
- prognostic factors
- radiation therapy
- pulmonary hypertension
- locally advanced
- rectal cancer
- artificial intelligence
- tyrosine kinase
- bone mineral density
- climate change
- electronic health record
- deep learning
- big data
- patient reported outcomes
- postmenopausal women
- decision making