Single-cell profiling defines cellular ecosystems and malignant cell state coupling across pan-cancer tumor microenvironments

Tumors are embedded within complex microenvironments composed of malignant, immune and stromal cells, yet how coordinated cellular organization shapes tumor biology across cancers remains incompletely understood. Here we integrate single-cell transcriptomic profiles from over two million cells spanning 19 human epithelial cancers to construct a comprehensive pan-cancer atlas of tumor microenvironment (TME) organization. We identify cell subsets selectively enriched in tumors compared with normal tissues and show that their relative abundance is associated with clinical outcomes. By clustering tumors according to their cellular composition, we define eight recurrent cellular ecosystem subtypes that capture coordinated variation in immune and stromal architectures across cancer types. Comparative analyses reveal that these ecosystem states are associated with distinct tumor-intrinsic molecular programs, including differences in signaling pathway activity, transcriptional regulation and copy number alterations. We further uncover subtype-specific patterns of ligand–receptor interactions linking malignant cells with immune and stromal compartments and provide independent spatial support for these interactions using spatial transcriptomic data. Together, this work provides a unified framework for tumor ecosystem stratification and highlights cellular organization as a key dimension of tumor heterogeneity with potential implications for precision cancer therapy.

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Publication Details

Journal
Molecular Cancer
Published
2026-07-25
DOI
https://doi.org/10.1186/s12943-026-02741-3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell profiling defines cellular ecosystems and malignant cell state coupling across pan-cancer tumor microenvironments

Jiapei Yuan, Yang Yang, Taoyue Yang, Peng Xie et al.
Molecular Cancer
Single-cell and spatial transcriptomics
article

Single-cell profiling defines cellular ecosystems and malignant cell state coupling across pan-cancer tumor microenvironments

Jiapei Yuan, Yang Yang, Taoyue Yang, Peng Xie, Yuting Wang, Xiaoxiao Yang, Xin Li
article en

Abstract

Tumors are embedded within complex microenvironments composed of malignant, immune and stromal cells, yet how coordinated cellular organization shapes tumor biology across cancers remains incompletely understood. Here we integrate single-cell transcriptomic profiles from over two million cells spanning 19 human epithelial cancers to construct a comprehensive pan-cancer atlas of tumor microenvironment (TME) organization. We identify cell subsets selectively enriched in tumors compared with normal tissues and show that their relative abundance is associated with clinical outcomes. By clustering tumors according to their cellular composition, we define eight recurrent cellular ecosystem subtypes that capture coordinated variation in immune and stromal architectures across cancer types. Comparative analyses reveal that these ecosystem states are associated with distinct tumor-intrinsic molecular programs, including differences in signaling pathway activity, transcriptional regulation and copy number alterations. We further uncover subtype-specific patterns of ligand–receptor interactions linking malignant cells with immune and stromal compartments and provide independent spatial support for these interactions using spatial transcriptomic data. Together, this work provides a unified framework for tumor ecosystem stratification and highlights cellular organization as a key dimension of tumor heterogeneity with potential implications for precision cancer therapy.

Molecular Cancer
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Second Hospital of Tianjin Medical University (CN), Tianjin Meteorological Bureau (CN), Institute of Hematology & Blood Diseases Hospital (CN), State Key Laboratory of Digital Medical Engineering (CN), Tianjin Medical University (CN), Southeast University (CN)
National Natural Science Foundation of China
Life in Land, Zero hunger
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
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