ReviewJournal for immunotherapy of cancer2025
Toward a better pan-tumor predictive signature for unleashing precision immuno-oncology.
Review in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Potential of RAD51C as a hub gene and therapeutic target in bladder cancer: insights from bioinformatics and experimental analysis.International journal of surgery (London, England) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While immune checkpoint inhibition (ICI) has revolutionized therapy across solid tumors, resistance remains an issue. Programmed death ligand-1 immunohistochemistry has limited clinical utility, whereas tumor mutation burden and microsatellite instability are only valuable for a minority of patients and leave room for improvement. Multiomic gene signatures have enhanced prediction of immune response by incorporating interferon-gamma signaling, T-cell dysfunction and exhaustion genes, and myeloid signatures. Single-cell RNA technology has been adopted to further optimize prediction of response to immunotherapy. A novel Immune Profile Score is presented by Zander et
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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.