Neuronal-Activity Dependent Mechanisms of Small Cell Lung Cancer Pathogenesis

Neural activity is increasingly recognized as a crucial regulator of cancer growth. In the brain, neuronal activity robustly influences glioma growth both through paracrine mechanisms and through electrochemical integration of malignant cells into neural circuitry via neuron-to-glioma synapses. Outside of the CNS, innervation of tumors such as prostate, breast, pancreatic and gastrointestinal cancers by peripheral nerves similarly regulates cancer progression. However, the extent to which the nervous system regulates small cell lung cancer progression, either in the lung or when growing within the brain, is less well understood. Small cell lung cancer (SCLC) is a lethal high-grade neuroendocrine tumor that exhibits a strong propensity to metastasize to the brain. Here we demonstrate that SCLC cells in the brain co-opt neuronal activity-regulated mechanisms to stimulate growth and progression. In the lung, vagus nerve transection markedly inhibits primary lung tumor formation and development, highlighting a critical role for innervation in SCLC growth. In the brain, glutamatergic and GABAergic cortical neuronal activity each drive proliferation of SCLC in the brain through both paracrine and synaptic neuron-cancer interactions. SCLC cells form bona fide neuron-to-SCLC synapses and exhibit depolarizing currents with consequent calcium transients in response to neuronal activity. SCLC cell membrane depolarization is sufficient to promote the growth of intracranial tumors. Taken together, these studies illustrate that neuronal activity plays a crucial role in dictating SCLC pathogenesis in both the lung and the brain. A range of 1.0 – 1.4 × 10⁴ nuclei per reaction were loaded onto a Chromium Controller (10x Genomics) using Single Cell 5′ Reagent Kits v2 (10x Genomics Cat# 1000263). Nuclei were suspended in ST buffer without RNase inhibitor prior to loading. Following reverse transcription and bead cleanup, cDNA amplification was performed with one additional PCR cycle compared to the standard protocol to compensate for the reduced RNA content in nuclei relative to whole cells. *************************************************************** Raw files for human/patient samples are being made available in dbGaP (https://www.ncbi.nlm.nih.gov/gap/) for controlled access to the personally identifiable sequence data. ***************************************************************