Umbilical cord mesenchymal stem cells may have targeting capacity for glioma

Glioblastoma is the most common ma-lignant primary brain tumor in adults. The aggressive growth manner, characterized by marked angiogenesis and extensive tumor cell invasion into normal brain parenchyma with frequent formation of tumor microsatellites at distal sites, makes eradication impossible even after extensive microsurgical resection combined with current standard chemoradiation and adjuvant temozolomide. Thus, novel therapeutic strategies must to be investigated for the development of a more effective treatment strategy. Stem cell-based therapies are emerging as novel cell-based delivery vehicle for therapeutic agents.

Prof. Qingjun Zhang and team from the Department of Neurosurgery, Peking University People's Hospital proposed that umbilical cord mesenchymal stem cells may have similar targeting capabilities for glioma. The researchers found that human umbilical cord mesenchymal stem cells demonstrated excellent glioma-specific targeting capacity in established rat glioma models after intratumoral injection or contralateral ventricular administration in vivo. These findings were published in the Neural Regeneration Research (Vol. 8, No. 22, 2013).

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Camouflage detection boosts neural networks for brain tumor diagnosis