{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T01:46:19Z","timestamp":1766454379721,"version":"3.48.0"},"reference-count":37,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T00:00:00Z","timestamp":1766102400000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJUI Compass"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>To evaluate whether long non\u2010coding RNA (lncRNA) expression patterns can improve molecular stratification and outcome prediction in high\u2010risk non\u2010muscle\u2010invasive bladder cancer (NMIBC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>RNA sequencing data from high\u2010grade Ta (TaHG) and T1 (n\u2009=\u2009212) tumours from the UROMOL consortium (Lindskrog et al., Nature Communications 2021) were analysed. Unsupervised consensus clustering based on lncRNA expression patterns identified distinct patient subgroups, which were characterized using gene expression patterns and gene signatures. A single\u2010sample classifier was trained using elastic net logistic regression on UROMOL lncRNA expression profiles and applied to the Knowles cohort for independent validation. Recurrence\u2010free survival (RFS) and progression\u2010free survival (PFS) were evaluated using Kaplan\u2013Meier (KM) plots, univariate and multivariate analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      LncRNA expression patterns identified three distinct clusters of TaHG and T1 tumours (LC1, LC2, LC3). Of these, the LC1 subgroup (n\u2009=\u200947) had significantly better RFS (p\u2009=\u20090.04) and PFS (p\u2009=\u20090.002). The LC1 subgroup was characterized by downregulation of genes associated with proliferation (i.e.,\n                      <jats:italic>FOXM1<\/jats:italic>\n                      ,\n                      <jats:italic>MKI67<\/jats:italic>\n                      ) and lower G2M and E2F gene signatures, suggesting reduced rates of tumour growth. A transcriptomic classifier trained on UROMOL lncRNA profiles successfully stratified recurrence risk in an independent validation cohort (Knowles, n\u2009=\u2009120), where predicted high\u2010risk cases (LC2\/3) demonstrated significantly poorer recurrence\u2010free survival (p\u2009&lt;\u20090.001). While these findings highlight lncRNA expression as a potential stratification tool, limitations include the retrospective design, treatment heterogeneity and the need for external validation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>LncRNA\u2010based clustering demonstrates significant potential for improving patient stratification in high\u2010risk NMIBC, identifying less aggressive tumours in an otherwise high\u2010risk setting. A transcriptomic classifier trained on these findings was successfully validated in an independent cohort, supporting its potential clinical utility in refining risk assessment and guiding treatment decisions. Prospective studies are needed to further validate and refine this approach.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/bco2.70131","type":"journal-article","created":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T10:29:43Z","timestamp":1766140183000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Long non\u2010coding RNAs define favourable biology in high\u2010risk non\u2010muscle\u2010invasive bladder cancer"],"prefix":"10.1002","volume":"6","author":[{"given":"Rachel","family":"Weng","sequence":"first","affiliation":[{"name":"Vancouver Prostate Centre, M. H. Mohseni Institute of Urologic Sciences  Vancouver BC Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tran Anh Thu","family":"Phung","sequence":"additional","affiliation":[{"name":"Vancouver Prostate Centre, M. H. Mohseni Institute of Urologic Sciences  Vancouver BC Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Bell","sequence":"additional","affiliation":[{"name":"Vancouver Prostate Centre, M. H. Mohseni Institute of Urologic Sciences  Vancouver BC Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Dyrskj\u00f8t","sequence":"additional","affiliation":[{"name":"Department of Clinical Medicine Aarhus University  Aarhus Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9836-1434","authenticated-orcid":false,"given":"Ewan A.","family":"Gibb","sequence":"additional","affiliation":[{"name":"Vancouver Prostate Centre, M. H. 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