“We demonstrate that treatment failure is accompanied by subtype-specific shifts in myogenic differentiation and inflammatory signaling,” shared Mian. “Notably, the enrichment of the myogenesis pathway and differentiation markers in fusion-negative tumors after treatment represents a novel observation that may inform future therapeutic strategies.”
These findings reveal that rhabdomyosarcomas evolve differently under therapy depending on their fusion status, with fusion-negative tumors showing unique vulnerabilities to differentiation-based treatments such as MEK inhibition—a targeted therapy that blocks the MEK protein kinase to slow or stop the growth of cancer cells by disrupting the RAS/MAPK signaling pathway. This observation raises the possibility that FN-RMS tumors may respond to drugs that push them toward a more differentiated, less aggressive state.
The study also prompts new questions about the tumor microenvironment’s role in shaping these responses. Macrophages, immune cells that can either attack or support tumor growth, were found to be linked with inflammatory signaling patterns at relapse. These cells can secrete cytokines that promote inflammation, remodel surrounding tissue, and influence how tumor cells mature or resist therapy. Understanding whether macrophage-driven inflammation actively promotes relapse—or reflects an immune system struggling to contain the disease—could reveal new therapeutic entry points.
Looking ahead, Mian and his team plan to extend this work via spatial transcriptomics, which provides gene expression information while maintaining the context of tissue architecture, to better map the cellular interactions that drive RMS progression. “Our research will integrate transcriptomic and spatial profiling to dissect these immune–myogenic interactions and test whether differentiation-directed therapies can reprogram resistant tumor cells in a fusion-specific manner,” he explained.
By illuminating how RMS evolves under therapeutic pressure, this research lays the groundwork for more personalized approaches to treating relapsed disease—approaches that consider not only the tumor’s genetic drivers but also the cellular ecosystem that sustains it.