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ArticleEndocrine pathology2025

Intratumoral Heterogeneity of Ki67 Index and Its Impact on the Diagnosis and Prognostication of Pancreatic Neuroendocrine Tumors: Hot-Spot Count Differs Significantly from Random-Area Count.

Ozgur Can Eren, Nobuyuki Ohike, Deniz Tuncel, Pelin Bagci, Serdar Balci, David E Adsay, Rohat Esmer, Burcu Saka, Burcin Pehlivanoglu, Yue Xue and 7 more

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Article in Endocrine pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

17 authors.

Ozgur Can ErenDepartment of Pathology, Koc University, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-9889-2702
Nobuyuki OhikeDepartment of Pathology, St. Marianna University, Kawasaki, Kanagawa, Japan.
Deniz TuncelDepartment of Pathology, Sisli Hamidiye Etfal Hospital, Istanbul, Turkey.
Pelin BagciBotton-Champalimaud Pancreatic Cancer Center, Lisbon, Portugal.
Serdar BalciDepartment of Pathology, Memorial Sisli Hospital, Istanbul, Turkey.
David E AdsayDepartment of Pathology, Koc University, Istanbul, Turkey.
Rohat EsmerDepartment of Pathology, Koc University, Istanbul, Turkey.
Burcu SakaDepartment of Pathology, Koc University, Istanbul, Turkey.
Burcin PehlivanogluDepartment of Pathology, Dokuz Eylül University, Izmir, Turkey.
Yue XueDepartment of Pathology, Northwestern University, Chicago, IL, USA.
Juan SarmientoDepartment of Surgery, Emory University, Atlanta, GA, USA.
Shishir K MaithelDepartment of Surgery, Northwestern University, Chicago, IL, USA.
David A KoobyDepartment of Surgery, Emory University, Atlanta, GA, USA.
Alyssa KrasinskasDepartment of Pathology, Emory University, Atlanta, GA, USA.
Michelle D ReidDepartment of Pathology, Emory University, Atlanta, GA, USA.
Olca BasturkDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Volkan AdsayDepartment of Pathology, Koc University, Istanbul, Turkey. adsay.volkan@gmail.com.ORCID http://orcid.org/0000-0002-1308-3701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pivotal role of Ki67 in grading pancreatic neuroendocrine tumors (PanNETs) is well recognized and firmly established in current WHO guidelines. Intratumoral heterogeneity is a well-known phenomenon, and it has also been documented for Ki67; however, the data on the magnitude of the impact of this heterogeneity on the final grade in primary NETs is relatively limited. In this study, Ki67 labeling index (KI) was calculated by using the manual count of camera-captured image method in 91 PanNETs both in hot-spots (KI(h)) as well as 6 different random-areas (KI(r)), each counted in a minimum of 2000 cells. The process was repeated for 29 samples from metastatic foci. Mean KI of the hot-spots was more than twofold higher than that of the random (5 vs 2.1%), with a low kappa agreement (0.2770). This changed the final grade in almost half of the cases (42/91; p < 0.001). Random counting missed all 4 G3 NETs as well as 6/7 of the Grade 2b cases (those with Ki67 10-≤ 20%). On the other hand, in only 4 cases, the difference in KI was > 10%. Similar heterogeneity was also observed in the 29 metastatic tumors analyzed with the final grade differing in 55% based on KI(h) versus KI(r). KI(h) had a stronger correlation with signs of aggressiveness including metastasis and tumor size and also trended with perineural invasion in tumors > 5 cm. The intratumoral heterogeneity in Ki67 in pancreatic NETs lead to a change in final grade in 46% of cases by hot-spot versus random count. This underscores the importance of both making a reliable Ki67 count and providing a numerical index in addition to the final grade, and interpretation of the results case-by-case basis for management purposes, rather than the rigid grade-based approach. This study also supports the usage of hot-spot rather than random count as the grade parameter. Reporting Ki67 in cytology and small biopsy specimens should be supplemented by a comment highlighting that the final grade may change when the entire tumor is evaluated but that the difference in the nominal count will seldom be higher than 10%.

Indexed as

Biomarkers, TumorKi-67 AntigenNeuroendocrine TumorsPancreatic NeoplasmsAdultAgedFemaleHumansImmunohistochemistryMaleMiddle AgedNeoplasm GradingPrognosisBiomarkers, TumorKi-67 AntigenMKI67 protein, humanIntratumoral heterogeneityKi67 indexNeuroendocrine tumorPancreas

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Registered trials

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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.