Cell SystemsSystems BiologyPeer-reviewed journal article
Cancer Hallmarks Define a Continuum of Plastic Cell States between Small Cell Lung Cancer Archetypes
Sarah M. GrovesiD, Geena V. IldefonsoiD, Caitlin O. McAtee, Patricia Midori Murobushi OzawaiD, Abbie S. IrelandiD, Philip E. StaufferiD, Perry T. WasdiniD, Xiaomeng HuangiD, Yi Qiao, Jing Shan LimiD, Jackie E. BaderiD, Qi LiuiD, Alan J. SimmonsiD, Ken S. LauiD, Wade Thomas IamsiD, Douglas P. HardiniD, Edward Barry SaffiD, William R. HolmesiD, Darren R. TysoniD, Christine Marie LovlyiD, Jeffrey C. RathmelliD, Gábor MarthiD, Julien SageiD, Trudy G. OliveriD, Alissa M. WeaveriD, Vito QuarantaiD
Abstract
Small Cell Lung Cancer (SCLC) tumors are heterogeneous mixtures of transcriptional subtypes. Understanding subtype dynamics could be key to explaining the aggressive properties that make SCLC a recalcitrant cancer. Applying archetype analysis and evolutionary theory to bulk and single-cell transcriptomics, we show that SCLC cells reside within a cell-state continuum rather than in discrete subtype clusters. Gene expression signatures and ontologies indicate each vertex of the continuum corresponds to a functional phenotype optimized for a cancer hallmark task: three neuroendocrine archetypes specialize in proliferation/survival, inflammation and immune evasion, and two non-neuroendocrine archetypes in angiogenesis and metabolic dysregulation. Single cells can trade-off between these defined tasks to increase fitness and survival. SCLC cells can easily transition from specialists that optimize a single task to generalists that fall within the continuum, suggesting that phenotypic plasticity may be a mechanism by which SCLC cells become recalcitrant to treatment and adaptable to diverse microenvironments. We show that plasticity is uncoupled from the phenotype of single cells using a novel RNA-velocity-based metric, suggesting both specialist and generalist cells have the capability of becoming destabilized and transitioning to other phenotypes. We use network simulations to identify transcription factors such as MYC that promote plasticity and resistance to treatment. Our analysis pipeline is suitable to elucidate the role of phenotypic plasticity in any cancer type, and positions SCLC as a prime candidate for treatments that target plasticity.
- organism: human
- assay: bulk RNA-seq
- assay: scRNA-seq
- research focus: clustering
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- approach: simulation
- Citations
- 67
- FWCI
- 5.44
- Field percentile
- top 3%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Transcriptional networks underlying tumour plasticity in small-cell lung cancer
Debadrita Bhattacharya, Sarah M. Groves, … Julien Sage·bioRxiv·Sep 28, 2026
- Involvement of epithelial-mesenchymal transition genes in small cell lung cancer phenotypic plasticity
S. M. Groves, N. Panchy, … T. Hong·bioRxiv·Sep 9, 2022
- Single cell profiling reveals novel tumor and myeloid subpopulations in small cell lung cancer
J. M. Chan, A. Quintanal-Villalonga, … C. M. Rudin·bioRxiv·Dec 1, 2020
- Microenvironment shapes small-cell lung cancer neuroendocrine states and presents therapeutic opportunities
P. A. Desai, N. Takahashi, … R. El Meskini·bioRxiv·Feb 9, 2024
- The small cell lung cancer neuroendocrine transdifferentiation explorer
- YAP1 defines an emergent, plastic population of relapsed small cell lung cancer
Catherine Allison Stewart, Kavya Ramkumar, … Carl Michael Gay·Journal of Thoracic OncologyPeer-reviewed·Apr 20, 2026