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HGMT: a database of human gut microbiota for tumors and immunotherapy response

Year: 2025
Type: article
Abstract: HGMT is a database designed to analyze, explore, and visualize gut microbiomes from diverse tumor types. We process metagenomic datasets from 18,630 stool samples across 37 tumor types, including 2,207 samples from immunotherapy-treated patients across 12 tumor types. HGMT provides an interactive portal for querying taxonomic and functional profiles, visualizing cross-dataset differential abundance taxa in tumors, and identifying their pan-tumor associations. Our analysis reveals the capability of gut microbiota in diagnosing gastrointestinal tumors and predicting immunotherapy response for non-small cell lung carcinoma. HGMT represents a valuable resource for investigating the roles of gut microbiota in tumors and immunotherapy response.
DOI: 10.1186/s13059-025-03865-3
Authors: Jinxin Liu, Mingyu Wang, Chentao Xu, Longhao Jia, Senying Lai, Zi-Chao Zhang, Jinglong Zhang, Wei-Hua Chen, Yucheng T. Yang, Xing-Ming Zhao
Institutions: Fudan University, Huzhou Normal University, Huzhou Central Hospital, Zhongshan Hospital, Huazhong University of Science and Technology, Zhejiang Sci-Tech University, Jining Medical University, Frontiers Center for Brain Science of the Ministry of Education
Language: English
Open Access status: gold
Estimated APC paid: $5,490
OpenAlex ID: W4416602239
FWCI: 0.761
Cites: 112
Cited by: 3
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