ArticleOncoimmunology2025
Systematic identification of lincRNA-derived immunogenic peptides in melanoma.
Article in Oncoimmunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Dark matter matters: from noncoding RNA regulation to cancer immunity.Oncoimmunology · 2026Review
- Review
- PD-1 and TIGIT coexpression enables selective enrichment of clonally expanded tumor-reactive CD8 T cells for melanoma TIL therapy.Journal of translational medicine · 2026Article
- Targeting Peptidergic Systems for Melanoma Treatment.Cancers · 2026Review
- Non-canonical and induced neoantigens as emerging sources of cancer-specific immunotherapy targets.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The search for reliable shared tumor-specific antigens (TSAs) to improve cancer immunotherapy is on-going. The so-called non-coding regions of the genome have recently been shown to give rise to immunogenic peptides, including the melanoma-specific antigen MELOE-1 which is translated from the long intergenic non-coding RNA (lincRNA)
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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.