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

Abstract 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...

Full description

Saved in:

Bibliographic Details
Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Series:	Scientific Reports
Subjects:	Gene mutations Ki-67 index Molecular genetics Pancreatic neuroendocrine tumors Whole-exome sequencing
Online Access:	https://doi.org/10.1038/s41598-025-04356-y
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items