DRMref: comprehensive reference map of drug resistance mechanisms in human cancer

Author:

Liu Xiaona1,Yi Jiahao2,Li Tina1,Wen Jianguo1,Huang Kexin3,Liu Jiajia1,Wang Grant4,Kim Pora1ORCID,Song Qianqian5ORCID,Zhou Xiaobo1ORCID

Affiliation:

1. Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston , TX  77030 , USA

2. Bioinformatics and Biomedical Big Data Mining Laboratory, Department of Medical Informatics, School of Big Health, Guizhou Medical University , Guiyang  550025 , China

3. West China Biomedical Big Data Centre, West China Hospital, Sichuan University , Chengdu , Sichuan  610041 , China

4. Department of Bioengineering, Rice University , Houston, TX  77005 , USA

5. Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida , Gainesville, FL 32610, USA

Abstract

Abstract Drug resistance poses a significant challenge in cancer treatment. Despite the initial effectiveness of therapies such as chemotherapy, targeted therapy and immunotherapy, many patients eventually develop resistance. To gain deep insights into the underlying mechanisms, single-cell profiling has been performed to interrogate drug resistance at cell level. Herein, we have built the DRMref database (https://ccsm.uth.edu/DRMref/) to provide comprehensive characterization of drug resistance using single-cell data from drug treatment settings. The current version of DRMref includes 42 single-cell datasets from 30 studies, covering 382 samples, 13 major cancer types, 26 cancer subtypes, 35 treatment regimens and 42 drugs. All datasets in DRMref are browsable and searchable, with detailed annotations provided. Meanwhile, DRMref includes analyses of cellular composition, intratumoral heterogeneity, epithelial–mesenchymal transition, cell–cell interaction and differentially expressed genes in resistant cells. Notably, DRMref investigates the drug resistance mechanisms (e.g. Aberration of Drug’s Therapeutic Target, Drug Inactivation by Structure Modification, etc.) in resistant cells. Additional enrichment analysis of hallmark/KEGG (Kyoto Encyclopedia of Genes and Genomes)/GO (Gene Ontology) pathways, as well as the identification of microRNA, motif and transcription factors involved in resistant cells, is provided in DRMref for user’s exploration. Overall, DRMref serves as a unique single-cell-based resource for studying drug resistance, drug combination therapy and discovering novel drug targets.

Funder

National Institutes of Health

National Science Foundation

National Institute of General Medical Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics

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