Glioblastoma isn't a single mass but has finger-like 'tentacles' (diffuse infiltration) extending into brain tissue. It is also genetically and cellularly diverse, meaning a single-pathway drug will inevitably miss many tumor cells, leading to rapid recurrence and treatment failure.
There's a growing recognition that the molecular profile of a primary tumor can differ significantly from its metastases. To guide treatment more accurately, the preferred practice is to biopsy an accessible metastatic lesion when possible, as this better reflects the biology of the active disease being treated.
Traditional 2D cell cultures can be misleading. Advanced 3D models, by reconstituting the tumor microenvironment with stromal cells, can uncover mechanisms of drug resistance (e.g., to ADCs) that are completely invisible in simpler systems, providing more clinically relevant data.
Immuno-oncology is not a one-time fix because cancer cells are described as "smart" adversaries that quickly adapt and develop resistance. The future of treatment lies in staying a step ahead, constantly switching therapeutic mechanisms to outmaneuver the cancer's ability to learn.
An individual tumor can have hundreds of unique mutations, making it impossible to predict treatment response from a single genetic marker. This molecular chaos necessitates functional tests that measure a drug's actual effect on the patient's cells to determine the best therapy.
Cancer should be viewed not just as rogue cells, but as a complex system with its own supply chains and communication infrastructure. This perspective shift justifies novel therapies like Zelenorstat, which aim to dismantle this entire operating system by cutting its power source.
The same cancer-driving mutation behaves differently depending on the cell's internal "wiring." For example, a drug targeting a mutation works in melanoma but induces resistance in colorectal cancer due to a bypass pathway. This cellular context is why genetic data alone is insufficient.
Glioblastoma evolves under therapeutic pressure, changing its expression and metabolism to resist treatment. Adaptin Bio's platform is designed to be adaptive, allowing them to switch therapeutic payloads (e.g., from APTN-101 to 102) as the tumor changes, effectively staying one step ahead.
Historically, intratumoral therapy was limited by the physical difficulty of reaching tumors. The rise of a new discipline, Interventional Oncology, has largely solved this access problem. The critical bottleneck is now the lack of drugs specifically designed and optimized for local delivery and sustained retention within the tumor.
Unlike older antibody-drug conjugates (ADCs), newer agents are designed so their chemotherapy payload can diffuse out of the target cell and kill nearby tumor cells that may not even express the target antigen. This "bystander effect" significantly enhances their anti-tumor activity.
The intensity and volume of FET PET activity serve as a powerful prognostic marker in glioma patients. Even when imaging suggests treatment-related changes rather than active tumor, elevated PET signals still correlate with a worse overall outcome, providing an additional layer of risk stratification.