Critical changes in whole-brain gene networks in response to small-cell lung cancer as revealed by single-nucleus RNA

Jingwei Duan1,2, Qi Fu1, Yongkun Huo1

  • 1Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, Guangdong, China.

Abstract

Insights

Primary small-cell lung cancer (SCLC) alters brain cell activity and neurotransmitter levels. Targeting GABA receptors with flumazenil suppressed tumor growth in mice, suggesting a lung-brain metabolic axis.

Area of Science:

  • Neuroscience
  • Oncology
  • Metabolomics

Background:

  • Small-cell lung cancer (SCLC) is an aggressive neuroendocrine cancer.
  • Neural activity is linked to SCLC progression.
  • Systemic effects of SCLC on the brain are not well understood.

Purpose of the Study:

  • Investigate the systemic effects of primary SCLC on the brain.
  • Identify molecular and metabolic changes in the brain associated with SCLC.
  • Explore potential therapeutic targets within the identified pathways.

Main Methods:

  • Utilized a genetically engineered SCLC mouse model (Rb1/Trp53/Myc).
  • Performed whole-brain single-nucleus RNA sequencing, transcriptomic, and metabolomic analyses.
  • Validated findings in public SCLC patient cohorts and used flumazenil to inhibit GABA receptors in vivo.

Main Results:

  • Observed widespread, cell-type-specific transcriptional changes in the brain of tumor-bearing mice.
  • Noted increased Gad2 expression in basal ganglia and GABAergic neurons, with impaired oligodendrocyte maturation.
  • Found elevated glutamate and GABA in SCLC tumors and patient plasma, and flumazenil suppressed tumor growth.

Conclusions:

  • Primary SCLC induces cell-type-specific brain transcriptional remodeling.
  • Elevated circulating glutamate suggests a lung-brain metabolic axis.
  • Further interventional studies are needed to establish direct causal links.