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<p>Pancreatic neuroendocrine tumors (PanNETs) often have low malignancy, but some develop distant metastasis or recurrence. This study aimed to investigate the prognostic utility of a Ki-67 index 10% cut-off using clinicopathological and multiomics analyses. Eighty-seven resected PanNETs were classified as G1, G2-low, G2-high, and G3 according to the World Health Organization classification, incorporating a 10% Ki-67 threshold. These groups comprised 29 (33%), 33 (38%), 16 (18%), and 9 (10%) patients, respectively. Comprehensive analyses evaluated tumor characteristics and mutation profiles across the groups. Significant differences in tumor size, recurrence, and overall survival were observed between the G2-low and G2-high groups. Genomic profiling of 19 samples revealed that the G3 (4 patients) and G2-high (6 patients) groups showed greater tumor mutation burdens and more driver gene mutations than the G2-low (6 patients) and G1 (3 patients) groups. Gene expression profiling revealed distinct patterns between the G3/G2-high and G2-low/G1 groups, with the oncogene <i>SERPINA1</i> significantly upregulated in the G3/G2-high group. The multiomics approach identified key genes, emphasizing the significance of the Ki-67 index 10% cut-off in predicting tumor behavior. The findings support using the Ki-67 index of 10% as a critical threshold for stratifying PanNETs and guiding prognosis and treatment.</p>

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Stratification of G2 pancreatic neuroendocrine tumors using a Ten Percent Ki-67 index cut-off based on clinicopathological and molecular analyses

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月29日

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  • Yumiko Kageyama,
  • Ryo Ashida,
  • Nobuyuki Ohike,
  • Keiichi Ohshima,
  • Tomoko Norose,
  • Katsuhisa Ohgi,
  • Mihoko Yamada,
  • Shimpei Otsuka,
  • Yoshiyasu Kato,
  • Hidemasa Kubo,
  • Katsuhiko Uesaka,
  • Teiichi Sugiura,
  • Takashi Sugino,
  • Akihumi Notsu,
  • Akane Naruoka,
  • Takeshi Nagashima,
  • Kenichi Urakami,
  • Ken Yamaguchi

摘要

Pancreatic neuroendocrine tumors (PanNETs) often have low malignancy, but some develop distant metastasis or recurrence. This study aimed to investigate the prognostic utility of a Ki-67 index 10% cut-off using clinicopathological and multiomics analyses. Eighty-seven resected PanNETs were classified as G1, G2-low, G2-high, and G3 according to the World Health Organization classification, incorporating a 10% Ki-67 threshold. These groups comprised 29 (33%), 33 (38%), 16 (18%), and 9 (10%) patients, respectively. Comprehensive analyses evaluated tumor characteristics and mutation profiles across the groups. Significant differences in tumor size, recurrence, and overall survival were observed between the G2-low and G2-high groups. Genomic profiling of 19 samples revealed that the G3 (4 patients) and G2-high (6 patients) groups showed greater tumor mutation burdens and more driver gene mutations than the G2-low (6 patients) and G1 (3 patients) groups. Gene expression profiling revealed distinct patterns between the G3/G2-high and G2-low/G1 groups, with the oncogene SERPINA1 significantly upregulated in the G3/G2-high group. The multiomics approach identified key genes, emphasizing the significance of the Ki-67 index 10% cut-off in predicting tumor behavior. The findings support using the Ki-67 index of 10% as a critical threshold for stratifying PanNETs and guiding prognosis and treatment.