Automated intraoperative resection technology generates increased tissue yield and improved biological preservation of brain tumor specimens for neuro-oncology research

Abstract Glioblastoma (GB) is an aggressive tumor showing extensive intertumoral and intratumoral heterogeneity. While preserving as much surrounding normal brain tissue as possible, neurosurgeons must aim to harvest maximal tumor tissue from a variety of tumor locations in an effort to capture heterogenic samples in high volume for molecular and pathologic diagnosis and translational research. A key challenge is the ability to consistently procure high-quality biologically active specimens. In this investigation, we implemented an automated intraoperative system to eliminate inconsistencies in the methodology of tissue collection, handling, and biological preservation immediately in the OR suite to establish a repeatable, standardized practice for obtaining high-quality tissue samples without the need for additional staff. Through this process, we were able to characterize matched specimens from GB patients or GB tumors from corresponding GB-allograft mice and compare the quality of traditional handling and collection processes of intraoperative tissue used in most neurosurgical operating rooms versus an automated resection, collection, and biological preservation system (APS) that captures, preserves, and biologically maintains tissue in a prescribed and controlled microenvironment. Matched specimens/or tissues were then processed in parallel at various time points and temperatures, evaluating viability, RNA and protein concentrations, and isolation of GB cell lines. We found that APS-derived GB slices stored in an APS modified medium remained viable and maintained high-quality RNA and protein concentration for up to 24 hours. Our results showed that primary GB cell cultures derived in this manner had improved growth over the widely used collection and preservation methods. Currently, we are continuing the investigation of collected samples in brain tumor animal models to further understand potential differences within the tumor region harvested and the cellular changes that occur over time. Our hope is this research will lead to new discoveries in the diagnosis and treatment of brain tumors.