Evidence map›Paper›PMID 40442332›Full record

ArticleScientific reports2025

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

Yumiko Kageyama, Ryo Ashida, Nobuyuki Ohike, Keiichi Ohshima, Tomoko Norose, Katsuhisa Ohgi, Mihoko Yamada, Shimpei Otsuka, Yoshiyasu Kato, Hidemasa Kubo and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Concept of neuroendocrine neoplasms of all organs with a focus on grading, subtyping.Virchows Archiv : an international journal of pathology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Yumiko KageyamaDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Ryo AshidaDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. r.ashida@scchr.jp.
Nobuyuki OhikeDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tomoko NoroseDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Katsuhisa OhgiDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Mihoko YamadaDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Shimpei OtsukaDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Yoshiyasu KatoDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Hidemasa KuboDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Katsuhiko UesakaDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Teiichi SugiuraDivision of Hepato- Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Takashi SuginoDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Akihumi NotsuClinical Research Center, Shizuoka Cancer Center, Shizuoka, Japan.
Akane NaruokaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiShizuoka Cancer Center Hospital and Research Institute, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

Ki-67 AntigenNeuroendocrine TumorsPancreatic NeoplasmsAdultAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedMutationPrognosisBiomarkers, TumorKi-67 AntigenGene mutationsKi-67 indexMolecular geneticsPancreatic neuroendocrine tumorsWhole-exome sequencing

Identifiers

PMID40442332
PMCPMC12122807

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.