Multi-Omics Technologies in Immunity Within Tumors
A special issue of Cells (ISSN 2073-4409).
Deadline for manuscript submissions: 31 March 2026 | Viewed by 113
Special Issue Editors
Interests: multi-omics; AI application in biomedicine and drug discovery
Special Issue Information
Dear Colleagues,
Cancer immunotherapy has revolutionized oncology, offering durable clinical benefits to a growing number of patients. However, its success is often limited to a subset of individuals, highlighting the profound complexity and heterogeneity of the tumor immune microenvironment (TME). Traditional, single-analyte biomarkers frequently fall short of capturing the intricate interplay between tumor cells and the host immune system, making patient selection and treatment personalization significant challenges.
High-throughput multi-omics technologies—including genomics, epigenomics, transcriptomics, proteomics, immuno-proteomics and metabolomics—present an unprecedented opportunity to dissect this issue. By integrating these diverse data layers, researchers can achieve a holistic, systems-level understanding of the molecular mechanisms that govern anti-tumor immunity and the crosstalk between cancer and the immune system. This integrative approach is crucial for uncovering novel therapeutic targets, identifying robust predictive biomarkers for immunotherapy response, stratifying patients into distinct immunological subtypes, and deciphering mechanisms of innate and acquired resistance.
This Special Issue, "Multi-Omics Technologies in Immunity within Tumors," aims to compile cutting-edge research that leverages multi-omics to deepen our understanding of cancer immunology. We welcome original research articles and comprehensive reviews that apply integrative analytical strategies to illuminate the dynamic TME and pave the way for the next generation of precision immuno-oncology.
Dr. Muhammad A. Alsherbiny
Dr. Anas M. Abdel Rahman
Guest Editors
Manuscript Submission Information
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Keywords
- multi-omics
- proteomics
- metabolomics
- lipidomics
- genomics and epigenomics
- synergistic combinations for cancer
- AI applications in multi-omics integrations
- tumor microenvironment (TME)
- cancer immunotherapy
- immuno-oncology
- integrative analysis of multi-omics
- biomarkers
- precision medicine
- tumor heterogeneity
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