Multi-Omic Data Integration in Oncology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 12
Special Issue Editors
Interests: lncRNA; miRNA; epigenetics; cancers; aging-related diseases; RNA-targeting therapy
Special Issue Information
Dear Colleagues,
Recent advances in bioinformatics and high-throughput technologies have revolutionized our ability to understand cancer biology through multi-omics approaches. By integrating data across bulk-level and single-cell omics, as well as emerging spatial multi-omics platforms, researchers can systematically dissect the complex molecular landscapes of tumors. This Special Issue, “Multi-Omic Data Integration in Oncology”, aims to highlight innovative strategies and applications that bridge genomic, transcriptomic, proteomic, metabolomic, and pharmacogenomic datasets to generate comprehensive cancer molecular profiles.
A particular focus will be placed on mapping the tumor microenvironment and elucidating the dynamic interactions between cancer cells, stromal components, and immune infiltrates. Leveraging these integrative insights can reveal novel biomarkers, therapeutic targets, and mechanisms underlying therapy resistance. Additionally, the use of spatially resolved multi-omics will enable the visualization of molecular heterogeneity and signaling pathways in situ, offering unprecedented perspectives on tumor evolution and response to treatment.
Contributions to this Special Issue may include original research, reviews, and methodological developments that enhance tumor molecular profiling and predictive modeling in oncology. We welcome interdisciplinary studies that merge computational, experimental, and clinical approaches, as well as work aimed at translating multi-omic integration into precision medicine applications.
We believe that consolidating advances in this domain will pave the way toward more effective cancer diagnostics and therapeutics, ultimately improving patient outcomes.
We invite you to submit your work and join us in advancing the frontier of multi-omic data integration in oncology.
Dr. Hung-Yu Lin
Dr. Hsing-Ju Wu
Guest Editors
Manuscript Submission Information
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Keywords
- bioinformatics
- multi-omics at bulk level
- single-cell omics
- spatial multi-omics
- metabolomics
- proteomics
- pharmacogenomics
- tumor microenvironment
- tumor molecular profiling
- therapy resistance
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