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Brain Cancer Recurrence: New Method Predicts Where Tumors May Return

Brain Cancer Recurrence: New Method Predicts Where Tumors May Return

Predicting Glioblastoma‘s Return: A New Approach to Fighting Deadly⁢ Brain Cancer

Glioblastoma, ​an aggressive form of brain cancer, presents a formidable challenge⁣ to medical ‌science. Despite advancements in treatment‍ – surgery,‌ radiation, and chemotherapy – the cancer frequently returns, ofen as relentlessly deadly as before.⁢ This is due to​ the insidious nature of glioblastoma: its ability to leave ‌behind microscopic pockets of‍ tumor cells,⁣ hidden within the⁣ surrounding brain tissue. Currently,patients face an average survival of just ​15 months post-diagnosis. But a groundbreaking new approach, developed by⁤ researchers at the Fralin Biomedical Research Institute at Virginia ​Tech, offers ⁤a beacon of hope.

The Challenge of Hidden cancer‍ Cells

Traditional treatment‍ strategies struggle with these​ lingering cells. Surgery ‌aims⁤ for complete ⁤removal,but relies on visualizing the‍ tumor’s edge.Radiation and chemotherapy target rapidly dividing cells, but can’t reach those lying dormant or deeply embedded. ​ Fluorescent dyes‌ used during surgery help highlight ⁢cancer cells, but thier penetration is limited, and they require cells to be ‍directly visible.

This is where‌ the innovation lies. ​ What if we⁤ could predict where these hidden cells⁤ are ⁢likely⁤ to be, and where the tumor will grow next?

A Novel Method: Mapping ‌Fluid Flow to Predict Cancer Spread

Jennifer Munson, professor and director​ of the FBRI⁢ Cancer Research Center-Roanoke, and ‌her team ​believe they’ve developed just such ⁣a tool. their ‍method, recently published in npj ‌Biomedical Innovations, combines⁤ several key elements:

* Magnetic Resonance Imaging (MRI): Providing detailed images of the brain.
* Fluid Dynamics Expertise: Leveraging Munson’s deep understanding of how fluid moves through brain tissue.
* A Predictive⁤ Algorithm: Developed by the team to analyze fluid flow patterns and pinpoint areas of potential cancer cell invasion.

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“If you ⁢can’t find the tumor ⁢cells, you can’t kill⁤ the⁢ tumor cells,” ⁣explains Munson. “This method allows us to find those⁣ tumor cells, offering a significant step forward ‍in treatment.”

How Does It Work? The science ‌of Interstitial Fluid

Munson’s research centers on interstitial fluid – the fluid that surrounds cells in tissues. Crucially, the ⁢behavior of⁣ this fluid changes in diseased tissue.

Her lab discovered:

*​ Faster Fluid Flow‍ = Increased Invasion: Areas with quicker fluid ‍movement correlate with ‍greater tumor cell spread.
* random Fluid Motion = Less Invasion: ‌ More diffuse, less directed fluid flow suggests lower cancer cell activity.
* Pathway Mapping – The Key Predictor: The ‍fluid​ flow around the tumor creates pathways,⁤ much like streams merging into rivers, that cancer⁣ cells exploit to‌ migrate. ⁤ This pathway mapping is the most ​powerful ​predictive element.

this allows for the creation of “hotspot maps” – ‌probability‌ maps showing ⁢surgeons ​where to ⁤focus ‍their efforts for more aggressive tumor⁣ removal, if appropriate. It also identifies‍ areas where less aggressive treatment might be sufficient, sparing‌ healthy tissue.

Cairina:‍ Bringing ‌the ‌Innovation to‌ the Clinic

The potential ⁢of this ‍research hasn’t gone unnoticed. A new⁤ spinoff company, Cairina, is dedicated to translating Munson’s findings into practical clinical applications. ‌

Cairina’s goal is to provide surgeons and‍ radiation oncologists with:

* Probability Maps: visual representations⁣ of areas with a ⁣higher likelihood of cancer cell invasion.
* Hotspot Maps: Highlighting regions requiring more intensive therapeutic ⁢intervention.
* Personalized Treatment Plans: Tailoring treatment strategies based on individual​ patient data and predicted tumor behavior.

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this represents a shift towards ‍a more personalized and precise approach ​to glioblastoma treatment.

Funding and Future Directions

This vital research is supported by grants from the National Cancer Institute, the Red Gates Foundation, the American Cancer Society, and the National Institute of Neurological Disorders and Stroke.

The work‌ represents a significant⁣ advancement ‌in our understanding of glioblastoma and​ offers a promising new avenue‍ for improving patient ⁣outcomes. By focusing on the hidden dynamics of fluid flow, ‍Munson and her​ team are paving the way for a future where this ⁣devastating cancer can be more effectively​ targeted and,​ ultimately, ​overcome.

Source: Virginia Tech News

Disclaimer: *I am an AI chatbot and ⁣cannot provide medical advice. This ‌information is for general knowledge and informational purposes only, and ⁤does not constitute medical advice.​ It

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