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Synapse
April 16, 2026Breathe0 citationsOpen Access

Spatiotemporal immune dynamics in lung cancer progression and treatment

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CWC K WongMHMegat Hafizzuddin Bin Abd Hamid

Key Points

  • Investigating how immune dynamics in lung cancer change over time and space to understand treatment implications.
  • Review of literature on spatial and temporal immune interactions in lung cancer
  • Analysis of high-plex technologies revealing immune niches
  • Discussion of treatment effects on immune functional states
  • Exploration of emerging technologies for linking immune context with disease progression
  • Identified barriers to immune infiltration caused by fibroblasts and endothelial changes
  • Described how treatment remaps immune responses at different stages of cancer
  • Highlighted the role of spatial transcriptomics in understanding immune dynamics

Abstract

The lung tumour microenvironment is a complex and evolving ecosystem in which immune, stromal and malignant cells interact across both space and time. Spatial organisation determines whether immune cells can access and induce immune responses across tumour tissues, while temporal changes driven by disease progression and therapy reshape these interactions. Although advances in high-plex technologies have revealed discrete immune niches in lung cancer, particularly in nonsmall cell lung carcinoma (NSCLC), less is known about how these tissue landscape niches remodel over time. This review integrates spatial and temporal perspectives to provide a unified view of lung cancer immunobiology. We discuss how fibroblast activation, endothelial remodelling and extracellular matrix deposition restrict immune infiltration and how conventional therapies and targeted inhibitors can remodel these barriers. We highlight recent studies that reveal how immune functional states shift with treatment and cancer stages. Finally, we outline how emerging technologies (spatial transcriptomics, multiplex imaging and functional assays) offer new opportunities to link temporal transitions with spatial immune context. Understanding spatiotemporal dynamics will be key to stage-specific biomarker discovery, treatment optimisation and personalised strategies in NSCLC.

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Cite This Study

Wong et al. (2026) studied this question.

synapsesocial.com/papers/69e07c972f7e8953b7cbdd56https://doi.org/10.1183/20734735.0335-2025
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