{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T05:47:17Z","timestamp":1785822437022,"version":"3.56.0"},"reference-count":68,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T00:00:00Z","timestamp":1785801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized by rapid proliferation, early dissemination, and limited durable benefit from current chemoimmunotherapy. Although immune checkpoint blockade has modestly improved clinical outcomes, the regulatory logic linking malignant cell states to the tumor immune microenvironment remains incompletely understood. Here, we applied an integrative single-nucleus transcriptomic framework to dissect tumor cell heterogeneity, regulatory programs, and immune-stromal communication networks in SCLC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Publicly available Single-nucleus RNA sequencing data from primary and metastatic SCLC samples were analyzed using Seurat-based clustering, inferCNV-based malignant cell identification, differential expression analysis, pathway enrichment, metabolic and stemness scoring, pseudotime trajectory reconstruction, CellChat-mediated cell-cell communication inference, and transcription factor regulatory module analysis. A\n                      <jats:italic>UBE2C<\/jats:italic>\n                      -enriched proliferative tumor cell subpopulation was prioritized for functional validation. siRNA-mediated\n                      <jats:italic>UBE2C<\/jats:italic>\n                      knockdown was performed in DMS114 and NCI-H446 SCLC cell lines, followed by qRT-PCR, CCK-8, colony formation, transwell migration, and Annexin V\/PI apoptosis assays.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Using snRNA-seq, we identified multiple cell types and resolved a\n                      <jats:italic>UBE2C<\/jats:italic>\n                      + subpopulation with marked proliferative features.\n                      <jats:italic>UBE2C<\/jats:italic>\n                      + subpopulation displayed strong G2\/M-phase enrichment, elevated mitotic and cell cycle programs. And pseudotime analysis positioned C3\n                      <jats:italic>UBE2C<\/jats:italic>\n                      + tumor cells at a proliferative state during tumor cell state evolution. Cell-cell communication analysis suggested that this subpopulation might interact with macrophages and fibroblasts through GRN-SORT1 and THBS1-CD47\/CD36 signaling axes, indicating a potential link between proliferative tumor states and candidate communication axes. Transcription factor module analysis further revealed enrichment of cell cycle-associated regulators, including MYBL2, NFYB, E2F2, TGIF1, and RXRG, in the C3 subpopulation. Functionally,\n                      <jats:italic>UBE2C<\/jats:italic>\n                      knockdown significantly suppressed proliferation, clonogenic growth, and migration while increasing apoptosis in SCLC cells.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      This study identified\n                      <jats:italic>UBE2C<\/jats:italic>\n                      + proliferative tumor cells as a functionally relevant malignant subpopulation in SCLC and links this state to immune-stromal communication networks within the tumor microenvironment. By integrating single-nucleus transcriptomics, regulatory network inference, intercellular communication analysis, and\n                      <jats:italic>in vitro<\/jats:italic>\n                      validation, our findings nominate\n                      <jats:italic>UBE2C<\/jats:italic>\n                      as a potential candidate functional regulator and provide a systems-level framework for investigating the cancer-immunity regulome in SCLC.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fimmu.2026.1902738","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T05:36:41Z","timestamp":1785821801000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative single-nucleus transcriptomic analysis identifies UBE2C+ proliferative tumor cells and immune-stromal regulatory crosstalk in small cell lung 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