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

Authors

Ying Kang, Qinjing Wang, Siqi Xu, Jiming Guo, Yue Ming, Weixing Chen, Min Wang, Zhijie Huang, Yisheng Huang, Bo Jia

Published in

Clinical and translational medicine. Volume 16. Issue 10. Pages e70858.

Abstract

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.
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.
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.

PMID:
42860711
Bibliographic data and abstract were imported from PubMed on 12 Oct 2026.

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