{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T11:25:44Z","timestamp":1787570744132,"version":"build-2736575974"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"Supplement_2","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":23,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Long non-coding RNAs (lncRNAs) regulate gene expression, chromatin organization, and cellular signaling. Recent studies indicate that \u223c20% of the \u223c36\u2009000 human lncRNA genes harbor small open reading frames (sORFs) capable of producing micropeptides (MPs), whose functions remain largely unknown. Whether these peptides contribute to the cancer immunopeptidome is largely unexplored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We systematically analyzed lncRNAs with strong experimental and computational evidence of MP-encoding potential (\u223c13% of the initial MP collection). Using The Cancer Genome Atlas (TCGA), we identified 2606 high-confidence lncRNA-derived MPs encoded by 647 genes across 16 cancer types. We then focused on 501 MPs from 124 lncRNA genes whose expression changes significantly across tumor stages and metastatic transitions, representing cancer transitional lncRNAs (Tr-lncRNAs). Dipeptide composition and conservation analyses showed that these MPs differ from a size-matched human coding proteome, supporting their potential as neoantigens. All possible 9-mer peptides were evaluated for predicted binding to prevalent European HLA class I alleles. Approximately 60% of Tr-lncRNA genes and 184 (37%) of derived peptides exhibited strong predicted HLA binding. Peptides from XIST, PCAT7, PVT1, HAND2-AS1 showed broad HLA coverage. Notably, TTN-AS1, encoded an MP (79 aa) generated 33 predicted distinct epitopes spanning all 27 HLA alleles. Our analysis identifies lncRNA-derived MPs as a previously underexplored source of potential cancer neoantigens, highlighting their promise as biomarkers and targets for immunotherapy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>Data, code and supplementary materials are available in https:\/\/doi.org\/10.5281\/zenodo.20167452 and GitHub: https:\/\/github.com\/stavzok1\/lncrna_peptide_analysis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag452","type":"journal-article","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:45:16Z","timestamp":1784202316000},"source":"Crossref","is-referenced-by-count":0,"title":["Micropeptides encoded by lncRNAs associated with cancer progression reveal novel immunogenic epitopes"],"prefix":"10.1093","volume":"42","author":[{"given":"Stav","family":"Zok","sequence":"first","affiliation":[{"name":"The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem , Jerusalem,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9357-4526","authenticated-orcid":false,"given":"Michal","family":"Linial","sequence":"additional","affiliation":[{"name":"Department of Biological Chemistry, The Life Science Institute, The Hebrew University of Jerusalem , Jerusalem,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,8,21]]},"reference":[{"key":"2026082407033257600_btag452-B1","doi-asserted-by":"crossref","first-page":"eadv6445","DOI":"10.1126\/sciadv.adv6445","article-title":"Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer 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