ArticleNature biotechnology2022
Unannotated proteins expand the MHC-I-restricted immunopeptidome in cancer.
Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
197 citing papers in PubMed, 1 synthesis or guideline pooled it, 285 citations in OpenAlex.
- Predicting immunotherapy response of advanced bladder cancer through a meta-analysis of six independent cohorts.Nature communications · 2025Pooled it
- Dark matter matters: from noncoding RNA regulation to cancer immunity.Oncoimmunology · 2026Review
- RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols.Nucleic acids research · 2026Article
- Mapping the functional dark proteome in cancer.Nature reviews. Cancer · 2026Review
- Recoding by NNature communications · 2026Article
- Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.MedScience · 2026Review
- Determining the dark proteome.Nature chemical biology · 2026Article
- Receptor-defined targeting of a genomically unique melanoma-enriched noncanonical antigen.Signal transduction and targeted therapy · 2026Article
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- TIPs: a deep learning-guided proteogenomic framework to expand the landscape of transposable element-derived antigens with immunopeptidomics.Genome biology · 2026Article
- Identification of unannotated microproteins involved in endothelial cell homeostasis, dysfunction, and vascular disease.Cardiovascular research · 2026Article
- Targeting non-canonical antigens unlocks functional T-cell responses in renal cell carcinoma.Journal for immunotherapy of cancer · 2026Article
- Computational prediction of TCR cross-reactivity: principles, challenges and translational opportunities.Journal of translational medicine · 2026Review
- Immunopeptidomics-guided identification of functional neoantigens in non-small cell lung cancer.NPJ precision oncology · 2026Article
- Hallmarks and correlates of effective adoptive cell immunotherapy for cancer.Nature reviews. Immunology · 2026Review
- Annotating genomes at increased scale and resolution.Nature reviews. Genetics · 2026Review
- Noncanonical Transcription and Splicing Shape the Colorectal Cancer Immunopeptidome in MSI and MSS Tumors.Molecular & cellular proteomics : MCP · 2026Article
- A Proteogenomic Approach to Discover Novel lncRNA-Derived Microproteins and Their Potential Clinical Utility in Hepatocellular Carcinoma.Molecular & cellular proteomics : MCP · 2026Article
- Article
137 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
29 authors at 5 institutions in 1 country.
Funding
Abstract
Tumor-associated epitopes presented on MHC-I that can activate the immune system against cancer cells are typically identified from annotated protein-coding regions of the genome, but whether peptides originating from novel or unannotated open reading frames (nuORFs) can contribute to antitumor immune responses remains unclear. Here we show that peptides originating from nuORFs detected by ribosome profiling of malignant and healthy samples can be displayed on MHC-I of cancer cells, acting as additional sources of cancer antigens. We constructed a high-confidence database of translated nuORFs across tissues (nuORFdb) and used it to detect 3,555 translated nuORFs from MHC-I immunopeptidome mass spectrometry analysis, including peptides that result from somatic mutations in nuORFs of cancer samples as well as tumor-specific nuORFs translated in melanoma, chronic lymphocytic leukemia and glioblastoma. NuORFs are an unexplored pool of MHC-I-presented, tumor-specific peptides with potential as immunotherapy targets.
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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.