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Peer-reviewedCC BYClinical and translational medicine

Spatiotemporal transcriptomics for tumour microenvironment remodelling in cancer progression and therapy.

  • Ying Kang1
  • Qinjing Wang1
  • Siqi Xu1
  • Jiming Guo1
  • Yue Ming2
  • Weixing Chen2
  • Min Wang1
  • Zhijie Huang1
  • Yisheng Huang1
  • Bo Jia1
  1. 1Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
  2. 2School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, China.
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Abstract

Background

Spatiotemporal transcriptomics (STT) integrates spatially resolved gene expression with temporal information derived from staged samples, paired treatment specimens, or computational inference, providing a framework for reconstructing tissue-level dynamics. In the tumour microenvironment (TME), STT extends static molecular and cellular maps by revealing how cellular neighbourhoods and functional niches are reorganised during tumour evolution.Main text

This review examines how STT characterises TME remodelling during malignant transformation, invasion, metastasis, ageing, and treatment response. We discuss strategies for resolving temporal dynamics, including stage-stratified sampling, paired or serial specimens, pseudotime and trajectory inference, and complementary intravital imaging. We further consider how spatiotemporal analyses can connect changes in cellular states, spatial organisation, and intercellular interactions with clinically relevant tumour phenotypes.Conclusion

By linking the spatial organisation of the TME with stage- and treatment-associated molecular changes, STT may improve the prioritisation of candidate targets, treatment stratification, and the development of precision oncology strategies.

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Cite

BibTeXRIS
BibTeX
@article{kang2026spatiotemporal,
  title = {{Spatiotemporal transcriptomics for tumour microenvironment remodelling in cancer progression and therapy.}},
  author = {Ying Kang and Qinjing Wang and Siqi Xu and Jiming Guo and Yue Ming and Weixing Chen and Min Wang and Zhijie Huang and Yisheng Huang and Bo Jia},
  journal = {Clinical and translational medicine},
  year = {2026},
  month = oct,
  doi = {10.1002/ctm2.70858},
  url = {https://europepmc.org/article/MED/42860711},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Spatiotemporal transcriptomics for tumour microenvironment remodelling in cancer progression and therapy.
AU  - Ying Kang
AU  - Qinjing Wang
AU  - Siqi Xu
AU  - Jiming Guo
AU  - Yue Ming
AU  - Weixing Chen
AU  - Min Wang
AU  - Zhijie Huang
AU  - Yisheng Huang
AU  - Bo Jia
PY  - 2026
DA  - 2026/10/01
JO  - Clinical and translational medicine
DO  - 10.1002/ctm2.70858
UR  - https://europepmc.org/article/MED/42860711
AB  - Background  Spatiotemporal transcriptomics (STT) integrates spatially resolved gene expression with temporal information derived from staged samples, paired treatment specimens, or computational inference, providing a framework for reconstructing tissue-level dynamics. In the tumour microenvironment (TME), STT extends static molecular and cellular maps by revealing how cellular neighbourhoods and functional niches are reorganised during tumour evolution.Main text  This review examines how STT characterises TME remodelling during malignant transformation, invasion, metastasis, ageing, and treatment response. We discuss strategies for resolving temporal dynamics, including stage-stratified sampling, paired or serial specimens, pseudotime and trajectory inference, and complementary intravital imaging. We further consider how spatiotemporal analyses can connect changes in cellular states, spatial organisation, and intercellular interactions with clinically relevant tumour phenotypes.Conclusion  By linking the spatial organisation of the TME with stage- and treatment-associated molecular changes, STT may improve the prioritisation of candidate targets, treatment stratification, and the development of precision oncology strategies.
SN  - 2001-1326
ER  -