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    <identifier>10.57760/sciencedb.27478</identifier>
    <datestamp>2025-09-10T14:15:08Z</datestamp>
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  <dc:date>2025-09-10</dc:date>
  <dc:title>Identification and Prognostic Significance of Ki-67-related Genes in Triple Negative Breast Cancer</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27478</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Objective: This study was aimed to screen and validate key genes associated with Ki-67 expression and evaluate their prognostic significance in patients with triple-negative breast cancer (TNBC).Methods and Results: RNA sequencing data and clinical characteristics were obtained from the Fudan University Shanghai Cancer Center (FUSCC) database. A Cox regression model and bioinformatic analyses were employed to identify Ki-67&amp;ndash;related prognostic genes. Candidate genes were further validated using the Kaplan-Meier Plotter database and patient specimens from our medical center. A total of 241 differentially expressed genes between high and low Ki-67 expression groups were initially identified through Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment. Further analysis revealed that CCNA2, a Ki-67&amp;ndash;related gene, was an independent risk factor for overall survival. Patients with high-risk scores exhibited significantly higher mortality rates than those with low-risk scores. Moreover, immunohistochemistry analysis showed that high CCNA2 protein expression was significantly associated with histological grade and recurrence or metastasis within 3 years after surgery (all P &amp;lt; 0.05).Conclusions: CCNA2 overexpression may contribute to tumorigenesis and serve as a potential prognostic biomarker indicating poor outcomes in TNBC.&amp;nbsp;</dc:description>
  <dc:subject>Triple-negative breast cancer; Ki-67; CCNA2; Prognosis</dc:subject>
  <dc:creator>Wenhan</dc:creator>
  <dc:creator>Dan Chen</dc:creator>
  <dc:creator>Jianhui Li</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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