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https://www.selleckchem.com/Proteasome.html Label-free Raman-based imaging techniques create the possibility of bringing chemical and histologic data into the operation room. Relying on the intrinsic biochemical properties of tissues to generate image contrast and optical tissue sectioning, Raman-based imaging methods can be used to detect microscopic tumor infiltration and diagnose brain tumor subtypes. Here, we review the application of three Raman-based imaging methods to neurosurgical oncology Raman spectroscopy, coherent anti-Stokes Raman scattering (CARS) microscopy, and stimulated Raman histology (SRH). Raman spectroscopy allows for chemical characterization of tissue and can differentiate normal and tumor-infiltrated tissue based on variations in macromolecule content, both ex vivo and in vivo. To improve signal-to-noise ratio compared to conventional Raman spectroscopy, a second pulsed excitation laser can be used to coherently drive the vibrational frequency of specific Raman active chemical bonds (i.e. symmetric stretching of -CH bonnfiltration, guiding tumor biopsy/resection, and providing images for histopathologic and molecular diagnosis. Despite recent advances in treatment for a number of cancers with immune checkpoint blockade (ICB), immunotherapy has had limited efficacy in glioblastoma (GBM). The recent multi-centered CheckMate 143 trial in first time recurrent GBM and the Checkmate 498 trial in newly diagnosed unmethylated GBM showed that antibodies against programmed cell death protein 1 (PD-1) failed to improve overall survival in patients with GBM. Recent preclinical and clinical studies have explored combining ICB with several other therapies including additional ICB against alternative checkpoint molecules, activation of costimulatory checkpoint molecules such as 4-1BB, radiation-induced tumor cell lysis and immunogenic recruitment, local chemotherapy, neoadjuvant ICB therapy, and myeloid cell reactivation. We have reviewed the literature on

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