ReviewFrontiers in genetics2026
Advances in the application of multi-omics in tumor immunotherapy.
Review in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.