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Review of multi-omics technologies supporting immune checkpoint inhibitor use in cancer patients.

Review of multi-omics technologies supporting immune checkpoint inhibitor use in cancer patients.
Photo by CDC / Unsplash
Key Takeaway
Consider multi-omics technologies for theoretical support in tumor immunotherapy, though clinical efficacy data are not reported.

This publication is classified as a review focusing on cancer patients utilizing immune checkpoint inhibitors. The primary scope involves evaluating the role of multi-omics technologies in this clinical context. The authors aim to outline the theoretical underpinnings rather than present primary trial data or comparative effectiveness metrics.

The text synthesizes arguments regarding the utility of multi-omics approaches in oncology. It suggests these technologies offer technical support for the precise implementation of tumor immunotherapy. No specific pooled effect sizes or statistical results are available within the provided text. The authors do not report specific clinical outcomes or secondary outcomes associated with the intervention.

The input indicates that sample size, setting, and follow-up duration were not reported. Adverse event rates and tolerability data are also absent from the summary. The lack of primary outcome data limits the ability to assess clinical efficacy directly. Without reported limitations or conflicts of interest, the scope remains focused on technical and theoretical support. The review does not specify a comparator group or specific drug regimens.

The authors note the practice relevance lies in providing theoretical foundations. This supports clinicians in understanding the technical aspects of immunotherapy precision. However, the evidence remains descriptive without quantified patient benefits. Clinicians should interpret these findings as conceptual guidance rather than definitive treatment recommendations for individual patients.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
As a pivotal therapeutic approach following surgery, chemoradiotherapy, and molecular targeted therapy, tumor immunotherapy has revolutionized survival outcomes for cancer patients, with immune checkpoint inhibitors (ICIs) demonstrating remarkable efficacy in clinical practice. However, challenges such as Immunotherapy resistance and significant individual variability in response persist, underscoring the critical need for precise tumor assessment and identification of benefit populations to achieve precision and personalization in immunotherapy. Multi-omics technologies, by integrating multidimensional data from genomics, transcriptomics, proteomics, metabolomics, and radiomics, enable comprehensive analysis of tumor development mechanisms, tumor microenvironment characteristics, and immunotherapy response patterns at molecular, cellular, tissue, and systemic levels. This review systematically examines the current applications, clinical value, and future prospects of multi-omics in tumor immunotherapy, with a focus on the development and utilization of radiomics in immunotherapy efficacy evaluation and prognostic prediction, thereby providing theoretical foundations and technical support for the precise implementation of tumor immunotherapy.
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