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New peptide therapy shows promise against glioblastoma recurrence

A lab-designed molecule developed and extensively studied by scientists with Virginia Tech's Fralin Biomedical Research Institute at VTC could represent a breakthrough in slowing tumor recurrence in glioblastoma, an aggressive and deadly form of brain cancer.

Written by Peptide Therapy Guide Editorial Team
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A lab-designed molecule developed and extensively studied by scientists with Virginia Tech's Fralin Biomedical Research Institute at VTC could represent a breakthrough in slowing tumor recurrence in glioblastoma, an aggressive and deadly form of brain cancer.

In a study published in May in Cell Death and Disease, researchers identified a previously unknown trait of cancer cells that shows promise for therapeutic intervention. The group outlined the mechanism of action and effectiveness of the experimental drug known as JM2, revealing its potential as a peptide therapy to target cancer cells that can renew and regrow, even after chemotherapy and radiation.

Glioblastoma, the most common form of malignant brain tumor, is particularly difficult to treat. The median survival after diagnosis is just over 14 months.

Treatment typically involves surgically removing as much of the tumor as possible, followed by radiation and chemotherapy with a drug called temozolomide. However, glioblastoma always recurs due to the presence of treatment-resistant glioblastoma stem cells. These cancer cells can survive, even after standard therapies, leading to tumor regrowth.

Glioblastoma stem cells can adapt easily to both their environment and treatment. These cells can lie dormant, and at some point, they reawaken and then rebuild the tumor. It's critical to find a way to target this population of cancer cells." Samy Lamouille, corresponding author of the study and assistant professor at the Fralin Biomedical Research Institute

The Lamouille lab studies how cancer cells communicate with each other and with their surrounding environment, with a particular focus on connexin 43. That protein plays a key role in forming gap junctions, which enable direct cell-to-cell communication.

"Connexin 43 plays a complex role in cancer," Lamouille said. "Depending on its expression and localization in cancer cells, it can both suppress and support cancer growth."

Experimenting with laboratory-grown glioblastoma stem-like cells, Lamouille turned to super-resolution microscopy, a powerful technique that allows researchers to visualize and localize proteins at nanoscale.

Associate Professor James Smyth specializes in this technique to study gap junctions and connexin proteins in heart disease. Together, they discovered for the first time that connexin 43 is strongly associated with microtubules in these cells, decorating them along their entire length.

Building on this discovery, Lamouille came up with the idea to use JM2, a connexin 43-derived peptide that mimics the microtubule-interacting domain of connexin 43, to further explore its role in glioblastoma stem cells.

Rob Gourdie, the Heywood Fralin professor at the Fralin Biomedical Research Institute, developed the JM2 peptide with his laboratory while at the Medical University of South Carolina.

"When we tested JM2 in glioblastoma stem-like cells, that was the most exciting moment," Lamouille said. "Not only did that efficiently disrupt connexin 43 interaction with microtubules, but JM2 was also toxic specifically for these particular cells, leaving healthy brain cells unharmed."

It achieved the effect without affecting connexin 43's other crucial functions.

Beyond glioblastoma, the work represents a significant step toward identifying a novel tumorigenic function for connexin 43.

"I can remember presentations by the team in which the three-dimensional gliospheres used to model tumors in the culture dish were clearly getting smaller," said co-author Gourdie. "It was surprising to see such a drastic effect on glioblastoma. The JM2 peptide had a killing effect by itself. That was unexpected."

Through further testing in both cell cultures and living organisms, the researchers found that JM2 disrupts the maintenance of these treatment-resistant cancer cells in laboratory experiments and significantly slows tumor growth in animal models. These findings support JM2 as a promising new peptide-based drug for targeting the glioblastoma stem cells that drive tumor recurrence following treatment.

The research also highlights the partnership between Virginia Tech's Fralin Biomedical Research Institute and Carilion Clinic, a health system in Southwest Virginia.

Co-author Michael Lunski was a Carilion Clinic resident who conducted research in Lamouille's laboratory, which is adjacent to that of Assistant Professor Zhi Sheng. Sheng provided glioblastoma cells that helped lead to the discovery; these lab cultures were derived from tumor cells donated with the consent of brain cancer patients in Southwest Virginia receiving care from Carilion physicians.

While more research is needed to develop the therapy for use and determine whether it will be safe and effective in humans, preclinical findings suggest that combining JM2 with chemotherapy could improve patients' survival by slowing recurrence.

To advance the approach, Lamouille is now experimenting with novel delivery mechanisms specifically targeting the JM2 peptide to glioblastoma cells, including biodegradable nanoparticles and viral vectors.

Lamouille and Gourdie are co-founders of Acomhal Research Inc., which licensed the JM2 peptide in an effort to bring new therapies to cancer patients.

Smyth, J. W., et al. (2025). Cytoplasmic connexin43-microtubule interactions promote glioblastoma stem-like cell maintenance and tumorigenicity. Cell Death and Disease. doi.org/10.1038/s41419-025-07514-2.

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Helpful context for this guide

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02What does an AI-assisted drug safety workflow realistically look like today?

Toxicology is a very diverse field, spanning chemistry, biology, and clinical science. Data varies enormously in accessibility, quantity, quality, terminology, and format. That makes it a complex domain for AI, but also one where AI can be very useful when applied carefully. A realistic AI-assisted safety pipeline today is not about replacing the expert toxicologist. It is about augmentation. AI agents and Large Language Models (LLMs) can autonomously search for data, collate information, generate summaries, and produce plots. This allows safety scientists to bring their expertise to bear more efficiently, while AI helps uncover and organize the evidence. We should also remember task-specific models. DeepDILI, for example, combined classical and deep learning approaches to predict drug-induced liver injury (DILI), a major cause of post-marketing drug withdrawals. Models like this can have a real impact when focused on specific safety pain points.

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05How will this discovery change cancer science?

This is a win for the field. Until now, we have been focused on immune therapies that might make tumors more vulnerable to the body's immune system, and on finding new chemotherapy combinations that kill cancer cells. This new treatment has given us a new focus, and I think it will spur a lot of scientific discovery over the next few years. There have only been a handful of KRAS researchers and their relevance to therapy was always questioned. That is about to change. The most important next step for the field is to better understand the biology of cancer. We know that many pancreatic tumors will eventually become resistant to daraxonrasib, and we need to understand how this happens. We also need to identify additional genetic pathways and treatments that can target them. That's how we will turn pancreas cancer from a deadly, deadly cancer into something we can manage-and one day, even cure.

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Research context

Read sources and limitations before applying a claim.

Hope or Hype? Evaluating the Evidence

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Practical and safety references

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How-to reference

How to Reconstitute BPC-157: Step-by-Step Mixing Guide (2026)

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Source: nulevelwellnessmedspa.com ↗
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Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

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