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The molecular convergence of SCNC across diverse tissues enables its identification through conserved SCNC-specific molecular markers, facilitating tumor subtype classification. As a critical post-transcriptional regulatory mechanism, alternative polyadenylation (APA) modulates 3\u2032UTR length and significantly impacts tumor progression. However, its role in SCNC remains largely unclear. Here, we report a global 3\u2032UTR lengthening pattern driven by APA in SCNC. We identified a set of conserved 3\u2032UTR lengthening events across SCNCs of different tissue origins, which are strongly associated with neural development and related signaling pathways. Furthermore, we developed a neural network-based prediction model to classify SCNC by leveraging these specific APA signatures. Our study provides new insights into the post-transcriptional landscape of SCNCs and highlights APA signatures as promising biomarkers for SCNC identification.<\/jats:p>","DOI":"10.64898\/2026.01.26.701900","type":"posted-content","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T06:10:23Z","timestamp":1769667023000},"source":"Crossref","is-referenced-by-count":0,"title":["Global mRNA 3\u2032UTR lengthening in small-cell neuroendocrine carcinoma"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5680-4647","authenticated-orcid":false,"given":"Yi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 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