Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer

A comprehensive single-cell atlas of gastrointestinal tract cancer (GIC) was constructed. GICs exhibit distinct epithelial features and specific tumour microenvironment (TME) patterns, forming diverse niches. GC and EC exhibiting metaplastic features show elevated metabolism-associated signatures and share similarities with CRC.

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Publication Details

Journal
Clinical and Translational Medicine
Published
2025-08-01
DOI
https://doi.org/10.1002/ctm2.70415
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer

Zhihui Xiu, Huanming Yang, Tong Li, Kui Wu et al.
1 citations
Clinical and Translational Medicine
Single-cell and spatial transcriptomics
0.81
article

Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer

Zhihui Xiu, Huanming Yang, Tong Li, Kui Wu, Xin Jin, Ming Liu, Hang Su, Chuwen Sun
article en
1 citations

Abstract

A comprehensive single-cell atlas of gastrointestinal tract cancer (GIC) was constructed. GICs exhibit distinct epithelial features and specific tumour microenvironment (TME) patterns, forming diverse niches. GC and EC exhibiting metaplastic features show elevated metabolism-associated signatures and share similarities with CRC.

Clinical and Translational MedicineVol. 15(8)
BGI Group (China) (CN), Jinggangshan University (CN), Harbin Medical University (CN), Zhejiang Cancer Hospital (CN), Fourth Affiliated Hospital of Harbin Medical University (CN), Education Department of Heilongjiang Province (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Good health and well-being
Openalex Percentile: Top 25%
Single-cell and spatial transcriptomics
0.81
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