{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T14:16:48Z","timestamp":1788617808848,"version":"build-2803163510"},"reference-count":39,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2024J011217"],"award-info":[{"award-number":["2024J011217"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82303965"],"award-info":[{"award-number":["82303965"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Science"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Alternative splicing (AS) plays a key role in the regulation of immune function and cellular heterogeneity. However, its impact on T\u2010cell behavior and clinical outcomes in hepatocellular carcinoma (HCC) remains poorly understood. Single\u2010cell full\u2010length transcriptome data were used to obtain comprehensive splicing site information. Variable AS events were identified in each cell using the SCASL algorithm, and AS\u2010based profiles were constructed. Based on this, differential expression, functional enrichment, cell interaction, and RNA velocity analyses were used to reveal functional differences among distinct cell populations based on AS profiles. Finally, based on the functional differences among distinct T\u2010cell subpopulations, an AS event\u2010based survival prognosis model was constructed to assess patient outcomes. Using the SCASL algorithm, major cell subpopulations were identified and T cells were further divided into two AS\u2010based subtypes distinct from gene expression clustering. Functional analysis revealed that these subtypes were enriched in NOD\u2010like receptors, C\u2010type lectin receptors, T\u2010cell receptor signaling, antigen processing and presentation, and other immune\u2010related pathways. Based on the definition of AS events, we constructed a prognostic model capable of distinguishing between patients with different risk levels, which was further validated using public datasets. Collectively, our findings highlight the crucial role of AS in shaping T\u2010cell functional heterogeneity, and the AS\u2010based prognostic model we established further underscores its clinical relevance, providing novel insights into tumor\u2013immune interactions and uncovering potential splicing\u2010derived biomarkers for immunotherapy.<\/jats:p>","DOI":"10.1111\/cas.70394","type":"journal-article","created":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T03:30:16Z","timestamp":1777087816000},"page":"1907-1920","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["T Cell Heterogeneity Shaped by Alternative Splicing Predicts Prognosis in Hepatocellular Carcinoma"],"prefix":"10.1111","volume":"117","author":[{"given":"Xiaohui","family":"Peng","sequence":"first","affiliation":[{"name":"The School of Public Health Fujian Medical University  Fuzhou China"},{"name":"The United Innovation of Mengchao Hepatobiliary 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