MADET: a Manually Curated Knowledge Base for Microbiomic Effects on Efficacy and Toxicity of Anticancer Treatments

Jie Zhang, Xiqian Chen, Jiaxin Zou, Chen Li, Wanying Kang, Yang Guo, Sheng Liu, Wenjing Zhao, Xiangyu Mou, Jiayuan Huang, Jia Ke

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

A plethora of studies have reported the associations between microbiota and multiple diseases, leading to the development of at least four databases to demonstrate microbiota-disease associations, i.e., gutMDisorder, mBodyMap, Gmrepo, and Amadis. Moreover, gut microbiota mediates drug efficacy and toxicity, whereas a comprehensive database to elucidate the microbiota-drug associations is lacking. Here, we report an open-access knowledge base, MADET (Microbiomics of Anticancer Drug Efficacy and Toxicity), which harbors 483 manually annotated microbiota-drug associations from 26 studies. MADET provides user-friendly functions allowing users to freely browse, search, and download data conveniently from the database. Users can customize their search filters in MADET using different types of keywords, including bacterial name (e.g., Akkermansia muciniphila), anticancer treatment (e.g., anti-PD-1 therapy), and cancer type (e.g., lung cancer) with different types of experimental evidence of microbiota-drug association and causation. We have also enabled user submission to further enrich the data documented in MADET. The MADET database is freely available at https://www.madet.info. We anticipate that MADET will serve as a useful resource for a better understanding of microbiota-drug associations and facilitate the future development of novel biomarkers and live biotherapeutic products for anticancer therapies.

Original languageEnglish
Article number02116-22
Number of pages7
JournalMicrobiology Spectrum
Volume10
Issue number6
DOIs
Publication statusPublished - Nov 2022

Keywords

  • anticancer treatment
  • database
  • efficacy
  • microbiota
  • toxicity

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