EvoNiche: a comprehensive database for dissecting tumor niche dynamics and spatiotemporal evolution within the cancer ecosystem
- 1College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081 ,
Abstract
The tumor ecosystem is organized into diverse ecological niches that undergo continuous regional remodeling and spatiotemporal evolution during tumor progression. Systematically characterizing the regional dynamics of these niches and reconstructing their spatiotemporal trajectories are essential for understanding tumor development, metastasis, and therapeutic response. Here, we present EvoNiche (https://bio-bigdata.hrbmu.edu.cn/EvoNiche or http://evoniche.bio-database.com/), a comprehensive database designed to systematically dissect the regional dynamics and spatiotemporal patterns of the tumor ecosystem by integrating 91 matched spatial and single-cell transcriptomic datasets spanning 35 cancer types. EvoNiche incorporates 712 tissue sections comprising 1 953 708 spatial spots and 58 single-cell datasets containing 2 945 536 cells, identifies 5609 spatial niches, and reconstructs tissue-level and cell-level spatiotemporal trajectories across tumor ecosystems. Through integrated analytical frameworks, EvoNiche enables comprehensive characterization of tumor ecosystem remodeling by resolving spatially organized cellular compositions, region-specific and trajectory-associated molecular programs and biological functions, spatially proximal cell–cell interactions, and spatial pseudotime-associated changes. Furthermore, EvoNiche prioritizes region-specific and transition genes as spatially derived candidate genes through systematic evaluation across pan-cancer and immunotherapy cohorts. Collectively, EvoNiche serves as a valuable resource for investigating regional ecosystem organization and spatiotemporal patterns across human cancers, and elucidating the regulatory mechanisms underlying tumor progression and therapeutic response.
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BibTeX
@article{zhao2026evoniche,
title = {{EvoNiche: a comprehensive database for dissecting tumor niche dynamics and spatiotemporal evolution within the cancer ecosystem}},
author = {Hongying Zhao and Xiangzhe Yin and Siyao Wang and Wentong Yu and Zhichao Geng and Yanwu Sun and Wanting Jiao and Hongzheng Yu and Yunpeng Zhang and Peng Wang and Shangwei Ning and Li Wang},
journal = {Nucleic Acids Research},
year = {2026},
month = oct,
doi = {10.1093/nar/gkag1027},
url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1027/8937183},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - EvoNiche: a comprehensive database for dissecting tumor niche dynamics and spatiotemporal evolution within the cancer ecosystem
AU - Hongying Zhao
AU - Xiangzhe Yin
AU - Siyao Wang
AU - Wentong Yu
AU - Zhichao Geng
AU - Yanwu Sun
AU - Wanting Jiao
AU - Hongzheng Yu
AU - Yunpeng Zhang
AU - Peng Wang
AU - Shangwei Ning
AU - Li Wang
PY - 2026
DA - 2026/10/19
JO - Nucleic Acids Research
DO - 10.1093/nar/gkag1027
UR - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1027/8937183
AB - The tumor ecosystem is organized into diverse ecological niches that undergo continuous regional remodeling and spatiotemporal evolution during tumor progression. Systematically characterizing the regional dynamics of these niches and reconstructing their spatiotemporal trajectories are essential for understanding tumor development, metastasis, and therapeutic response. Here, we present EvoNiche (https://bio-bigdata.hrbmu.edu.cn/EvoNiche or http://evoniche.bio-database.com/), a comprehensive database designed to systematically dissect the regional dynamics and spatiotemporal patterns of the tumor ecosystem by integrating 91 matched spatial and single-cell transcriptomic datasets spanning 35 cancer types. EvoNiche incorporates 712 tissue sections comprising 1 953 708 spatial spots and 58 single-cell datasets containing 2 945 536 cells, identifies 5609 spatial niches, and reconstructs tissue-level and cell-level spatiotemporal trajectories across tumor ecosystems. Through integrated analytical frameworks, EvoNiche enables comprehensive characterization of tumor ecosystem remodeling by resolving spatially organized cellular compositions, region-specific and trajectory-associated molecular programs and biological functions, spatially proximal cell–cell interactions, and spatial pseudotime-associated changes. Furthermore, EvoNiche prioritizes region-specific and transition genes as spatially derived candidate genes through systematic evaluation across pan-cancer and immunotherapy cohorts. Collectively, EvoNiche serves as a valuable resource for investigating regional ecosystem organization and spatiotemporal patterns across human cancers, and elucidating the regulatory mechanisms underlying tumor progression and therapeutic response.
SN - 0305-1048
SN - 1362-4962
ER -