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    <responseDate>2026-10-14T06:24:32Z</responseDate>
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    <identifier>10.57760/sciencedb.45658</identifier>
    <datestamp>2026-08-07T10:19:55Z</datestamp>
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  <dc:date>2026-08-07</dc:date>
  <dc:title>Integrated Multi-Omics Analysis Uncovers SELENOP and TAF10 as Mechanistically Distinct Therapeutic Targets in ccRCC through Lactate Metabolism and EMT Regulation with Repurposing of Diosmin and Micafungin Sodium</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.45658</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Background: Clear cell renal cell carcinoma (ccRCC) features metabolic reprogramming and epithelial&amp;ndash;mesenchymal transition crosstalk that remains poorly understood. Methods: We integrated scRNA-seq from three cohorts with TCGA/GEO bulk transcriptomic data, constructed a 15-gene LASSO prognostic risk model using differentially expressed genes, performed CRISPR-Cas9 functional studies in A498 and OS-RC-2 cells and xenograft models, and conducted structure-based virtual screening with molecular dynamics simulations to identify repurposable drugs targeting SELENOP and TAF10. Results: The 15-gene signature stratified patients by survival and immune landscape across multiple validation cohorts. SELENOP suppressed BSG-mediated lactate export, whereas TAF10 drove SRGN-dependent EMT. Virtual screening identified Diosmin and Micafungin Sodium as SELENOP agonist and TAF10 antagonist, both showing anti-tumor efficacy preclinically with synergistic combination effects. Conclusions: SELENOP and TAF10 represent mechanistically distinct therapeutic targets via BSG&amp;ndash;lactate and SRGN&amp;ndash;EMT pathways, and Diosmin with Micafungin Sodium merit clinical investigation as ccRCC repurposed therapeutics.</dc:description>
  <dc:subject>Clear cell renal cell carcinoma; Amino acid metabolism; SELENOP; TAF10; Epithelial–mesenchymal transition; Drug repurposing; Prognostic model</dc:subject>
  <dc:creator>Jiangbei Yuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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