Characterizing and targeting glioblastoma neuron-tumor networks with retrograde tracing
Svenja Kristin TetzlaffiD, Ekin ReyhaniD, Nikolas LayeriD, C. Peter BengtsoniD, Alina HeueriD, Julian SchroersiD, Anton J FaymonvilleiD, Atefeh Pourkhalili LangeroudiiD, Nina Drewa, Elijah Keifert, Julia Wagner, Stella Judith SoykaiD, Marc Cicero SchubertiD, Nirosan SivapalaniD, Rangel Lyubomirov PramataroviD, Verena Buchert, Tim Wageringel, Elena Grabis, Niklas WißmanniD, Obada AlhalabiiD, Michael Botz, Jovana Bojcevski, Joaquín CamposiD, Berin Boztepe, Jonas G. ScheckiD, , Varun VenkataramaniiD
Abstract
Glioblastomas are invasive brain tumors with high therapeutic resistance. Neuron-to-glioma synapses have been shown to promote glioblastoma progression. However, a characterization of tumor-connected neurons has been hampered by a lack of technologies. Here, we adapted retrograde tracing using rabies viruses to investigate and manipulate neuron-tumor networks. Glioblastoma rapidly integrated into neural circuits across the brain engaging in widespread functional communication, with acetylcholinergic neurons driving glioblastoma invasion. We uncovered patient-specific and tumor cell state-dependent differences in synaptogenic gene expression associated with neuron-tumor connectivity and subsequent invasivity. Importantly, radiotherapy enhanced neuron-tumor connectivity by increased neuronal activity. In turn, simultaneous neuronal activity inhibition and radiotherapy showed increased therapeutic effects, indicative of a role for neuron-to-glioma synapses in contributing to therapeutic resistance. Lastly, rabies-mediated genetic ablation of tumor-connected neurons halted glioblastoma progression, offering a viral strategy to tackle glioblastoma. Together, this study provides a framework to comprehensively characterize neuron-tumor networks and target glioblastoma.
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