Abnormal metabolic pathway drives cancer-cell growth in glioblastoma subtype

A study led by researchers at The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC - James) has identified an abnormal metabolic pathway that drives cancer-cell growth in a particular glioblastoma subtype. The finding might lead to new therapies for a subset of patients with glioblastoma, the most common and lethal form of brain cancer.

The physician scientists sought to identify glioblastoma subtype-specific cancer stem cells. Genetic analyses have shown that high-grade gliomas can be divided into four subtypes: proneural, neural, classic and mesenchymal.

This study shows that the mesenchymal subtype is the most aggressive subtype, that it has the poorest prognosis among affected patients, and that cancer stem cells isolated from the mesenchymal subtype have significantly higher levels of the enzyme ALDH1A3 compared with the proneural subtype.

The findings, published recently in the Proceedings of the National Academy of Sciences, show that high levels of the enzyme drive tumor growth.

"Our study suggests that ALDH1A3 is a potentially functional biomarker for mesenchymal glioma stem cells, and that inhibiting that enzyme might offer a promising therapeutic approach for high-grade gliomas that have a mesenchymal signature," says principal investigator Ichiro Nakano, MD, PhD, associate professor of neurosurgery at the OSUCCC - James. "This indicates that therapies for high-grade gliomas should be personalized, that is, based on the tumor subtype instead of applying one treatment to all patients," he says.

The National Cancer Institute estimates that 23,130 Americans will be diagnosed with brain and other nervous system tumors in 2013, and that 14,000 people will die of these malignancies. Glioblastoma accounts for about 15 percent of all brain tumors, is resistant to current therapies and has a survival as short as 15 months after diagnosis.

Little is known, however, about the metabolic pathways that drive the growth of individual glioblastoma subtypes - knowledge that is crucial for developing novel and effective targeted therapies that might improve treatment for these lethal tumors.

For this study, Nakano and his collaborators used cancer cells from 40 patients with high-grade gliomas, focusing on tumor cells with a stem-cell signature. The researchers then used microarray analysis and pre-clinical animal assays to identify two predominant glioblastoma subtypes, proneural and mesenchymal.

Key technical findings include:

  • Genes involved in glycolysis and gluconeogenesis, particularly ALDH1A3, were significantly up-regulated in mesenchymal glioma stem cells compared to proneural stem cells;
  • Mesenchymal glioma stem cells show significantly higher radiation resistance and high expression of DNA-repair genes;
  • Radiation induces transformation of proneural glioma stem cells into mesenchymal-like glioma stem cells that are highly resistant to radiation treatment; inhibiting the ALDH1 pathway reverses this resistance.
  • Inhibiting ALDH1A3-mediated pathways slows the growth of mesenchymal glioma stem cells and might provide a promising therapeutic approach for glioblastomas with a mesenchymal signature.

"Overall, our data suggest that a novel signaling mechanism underlies the transformation of proneural glioma stem cells to mesenchymal-like cells and their maintenance as stem-like cells," Nakano says. Currently, their discoveries are in provision patent application, led by the Technology Licensing Office at University of Pittsburgh.

Source: Ohio State University Medical Center

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...
Air pollution linked to head and neck cancer risk